Next Article in Journal
The Role of Electronic Noses in Phenotyping Patients with Chronic Obstructive Pulmonary Disease
Next Article in Special Issue
Biomedical Applications of Liquid Metal Nanoparticles: A Critical Review
Previous Article in Journal
Yeast-Based Fluorescent Sensors for the Simultaneous Detection of Estrogenic and Androgenic Compounds, Coupled with High-Performance Thin Layer Chromatography
Previous Article in Special Issue
A Deformation of a Mercury Droplet under Acceleration in an Annular Groove
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Liquid Metal Based Flexible and Implantable Biosensors

1
Chinese Academy of Sciences Key Laboratory of Cryogenics, Technical Institute of Physics and Chemistry, Beijing 100190, China
2
Beijing Key Lab of CryoBiomedical Engineering and Key Lab of Cryogenics, Beijing 100190, China
3
School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100039, China
4
School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China
5
Department of Mechanical Engineering, Imperial College London, London SW7 2BU, UK
*
Author to whom correspondence should be addressed.
These authors contribute equally to the manuscript.
Biosensors 2020, 10(11), 170; https://doi.org/10.3390/bios10110170
Submission received: 14 October 2020 / Revised: 30 October 2020 / Accepted: 31 October 2020 / Published: 10 November 2020
(This article belongs to the Special Issue Liquid Metal Enabled Bio-Related Applications)

Abstract

:
Biosensors are the core elements for obtaining significant physiological information from living organisms. To better sense life information, flexible biosensors and implantable sensors that are highly compatible with organisms are favored by researchers. Moreover, materials for preparing a new generation of flexible sensors have also received attention. Liquid metal is a liquid-state metallic material with a low melting point at or around room temperature. Owing to its high electrical conductivity, low toxicity, and superior fluidity, liquid metal is emerging as a highly desirable candidate in biosensors. This paper is dedicated to reviewing state-of-the-art applications in biosensors that are expounded from seven aspects, including pressure sensor, strain sensor, gas sensor, temperature sensor, electrical sensor, optical sensor, and multifunctional sensor, respectively. The fundamental scientific and technological challenges lying behind these recommendations are outlined. Finally, the perspective of liquid metal-based biosensors is present, which stimulates the upcoming design of biosensors.

1. Introduction

The biosensor is a typically integrated unit that senses specific bio-sensitive substances and converts them into a measurable signal for detection. There are several parts included: bio-sensitive materials as a biorecognition element, a physical or chemical transducer element, a signal transmission, and an amplifier element. The signal input could be biophysical (light [1], sound [2], temperature [3], force [4], smell [5], and so on) or biochemical (small molecules like DNA [6], enzymes [7], cells [8], and macromolecules like sweat, blood, and even tears [9]). According to the type of transducer, it can be classified as an electrode, fluorescence, field-effect transistor, or surface plasma resonance [10]. The advantages of biosensors such as good selectivity, high sensitivity, fast analysis speed, low cost, high miniaturization and integration, enable them to be widely applied in the biomedical, food industry, environmental monitoring, and other fields.
Traditional biosensors serve as common auxiliary or adjunctive sensing equipment of the biological body. However, a higher demand for dynamic and real-time sensing propels the development of soft biosensor. Flexible electronic technologies have been demonstrated as cost-effective approaches for realizing the large-scale production of biosensors integration. Hence, the soft biosensor is promising and has gained considerable attention recently based on the rapid development of material technology and flexible electronics.
Selecting suitable materials according to different signals is the key to sensitive and precise enhancement. For example, nanomaterial-based biosensors have been developed and widely investigated in biology. Various types of nanoparticles are embedded in the biosensor with different functions as a carrier [11], catalyst [12], signal amplification [13], and signaling molecule [14]. Besides, numerous soft materials are explored for soft or flexible biosensors, such as polyimide (PI) and polyethylene terephthalate (PET) [15], polydimethylsiloxane (PDMS) [16], hydrogels [17], carbon-based materials including graphene [18], and carbon nanotubes [19] They serve as a mechanical support for integrating electronic circuits, playing an important role in biosensors.
For biosensors, especially soft biosensors, it is vitally important to perform flexible properties like mechanical stability and biocompatibility, which demands better performance from materials [20]. Liquid metal (LM) and its micro/nano particles are investigated as newly emerged functional materials owning to their unique features that are superior to other materials and additional functions that conventional micro/nano material fail to achieve. For example, their self-healing quality endows liquid metal micro/nano-based composites with stronger durability and robustness which are essential for implantable sensors. Besides, Ga nanoparticles have been proven to have good biocompatibility which is necessary for implantable sensors. A relatively high sensitivity may be obtained from the nanomaterial-based biosensors attributed to their larger surface area and effective contact area. However, the limitation of reproductivity and stability restricts their wide application [15]. Meanwhile, for bulk liquid metal, the fabrication process is much more convenient. The electrical properties and mechanical behavior of bulk liquid metal are also more stable and superior. The low Young’s modulus ensures that small forces are required to achieve large deformation. As a type of metal with a low melting point, liquid metal shows higher electrical conductivity than most soft polymer materials [21]. At the same time, bulk liquid metal can achieve stable electrical signal transmission under deformation of ~700%. The resistive and capacitive sensors based on liquid metal have been designed for temperature [3], gas [22], and force [23] sensing. Moreover, the intrinsic flexibility of liquid metal provides biosensors with additional functionality in wearable electrical sensors. Liquid metal-based soft circuits can maintain mechanical stability under stretching or bending in health-monitoring and motion-sensing applications [24]. The on-skin biosensors conformally contact with the body surface and realize dynamical sensing. Besides, it is possible to utilize liquid metal in implantable sensors due to its inherent biocompatibility, as soft sensors applied in biomedicine require biomaterial with nontoxicity and conformality, for example, artificial muscle, electrical skin, and nerve connection. It is also noteworthy that fabricating liquid metal soft circuits on different substrates through printing or direct writing is much easier than the traditional solid circuit. Overall, liquid metal is a favorable candidate as a transducing-elements in biosensors, especially as soft electrodes and electrical interconnection.
This article intends to introduce the biosensors based on liquid metal, providing a comprehensive overview of characteristics and material fabrication. Recent progress on the liquid metal biosensor is illustrated as well. Finally, existing challenges and future perspectives are discussed for further investigation.

2. Properties

Liquid metal has played an important role in developing bio-sensors due to their unique physical and chemical properties. Therefore, the properties of liquid metal related to biosensing will be introduced in the following chapters. The liquid metal in this article mainly refers to gallium (Ga), indium (In), tin (Sn), and their alloys.

2.1. Morphology

The surface tension of Ga-based LM could reach ~600 mN/m, which is 9 times larger than that of water. Meanwhile, the Young’s modulus of liquid metal is as low as 1–10 Pa which is 107 times less than that of steel (at 20 °C) [25]. According to the mechanism of decreasing surface energy, bulk liquid metal without oxide trends to be a sphere, and liquid metal droplets are inclined to merge (Figure 1a) [26]. Meanwhile, bulk liquid metal at the liquid state is easily broken into mini or microdroplets when force is applied (Figure 1b) [27]. Clearly, it is hard to regulate the shape of liquid metal because of its low Young’s modulus, low melting point, and high surface tension. Although liquid metal demonstrates the advantages of flexibility and deformability, low adhesion makes it easy to be removed from the substrates [28,29].
Reducing the surface tension of liquid metal by generating oxide film can regulate its morphology. Applying an electric field or adding a strong oxidant could accelerate the oxidation of the liquid metal and realize the adjustment of its surface morphology (Figure 1c) [30,31,32]. However, the solution environment and the applied external electric field make this control method incompatible with biosensors. Another way is mixing liquid metal with micro/nanoparticles by using a mechanical stirring method or electrochemical method [33,34]. Particles embedded in liquid metal could intensely alter its properties. Higher dynamic viscosity, higher adhesion, and lower surface tension can be obtained while conductivity remains mostly consistent [35]. As a result, liquid metal can be easily molded into various shapes (Figure 1d) [36], and could be used to make sensor elements and sensor circuits [37]. In addition, many metal particles (Fe, Cu, and Ni) and liquid metal may form an intermetallic compound [28,38,39]. This may adjust the hardness and Young’s modulus of the mixture, and realize the self-solidification of the liquid metal.

2.2. Oxidation

Ga can be readily oxidized when exposed to ambient air or a neutral aqueous solution. Liquid-state Ga and its alloys are homogenously covered by a thin native oxide layer, generally amorphous Ga2O3 (~3 nm) (Figure 2a) [40]. Different crystalline phases of gallium oxides generate in different environments after annealing. For example, monoclinic β-Ga2O3 crystal structure is easily formed after annealing when liquid metal was sonicated in DMSO, whereas liquid metal sonicated in DI water generates more particles covered with predominantly rhombohedral α -Ga2O3 (Figure 2b) [22]. β-Ga2O3 is a semiconductor material with a versatile wide bandgap (4.6 eV–4.9 eV) and has wide applications in wearable sensors and gas sensors [41]. Generally, the conductivity of β-Ga2O3 can be influenced by an ambient atmosphere. A high temperature activates the change of electronic consistency. At a low temperature, the oxygen-vacancies diffusion of β-Ga2O3 is frozen and the bulk electrical conductivity no longer responds to the change of circumstance gas composition [42].
Pure liquid metal has poor adhesion to most substrates, and only shows slight compatibility with polymer substrates, such as PVC and polydimethylsiloxane (PDMS) [43]. However, oxide endows liquid metal with superb adhesion with various substrates, and liquid metal can easily and steadily adhere to “oxide-phobic” substrates. Although a large amount of oxide in liquid metal will reduce the electrical conductivity and thermal conductivity, using oxide-rich liquid metal can enable the easy fabrication of flexible sensor devices and soft circuits on a variety of flexible substrates (Figure 2c,d) [35,39,44]. Importantly, the particles wrapped by the oxide can be easily wetted by the liquid metal itself (Figure 2e), and swallowing oxide-encapsulated particles can adjust the properties of liquid metal. For example, the mixture consisting of liquid metal and tungsten (W) particles exhibits two- to threefold enhanced thermal conductivity [45]. Overall, the oxide of liquid metal can be used as a detection agent for gas sensors, and could also help liquid metal realize the preparation of sensor structures or circuits.

2.3. Electrical Properties of Liquid Metal and Its Composite

Liquid metal alloys with intrinsically soft characteristics and liquid metal composites have many unique electrical properties. The conductivity of a Ga-based liquid metal can reach 3.4 × 106 S/m which is higher than most non-metallic materials [46]. Swallowing highly conductive particles by an electrochemically wetted method can improve its conductivity, however, the liquid metal mixture is still roughly 20 times less conductive than non-flexible copper (at 20 °C) (Figure 3a) [47]. Hence, liquid metal should be considered for applications (including the biosensors) in which its soft nature, high conductivity, and some unique qualities (such as the strain-enhanced conductivity) are required [48].
Biosensors containing a liquid metal circuit can exhibit high electronic robustness because of its low melting point and fluid characteristics. For example, liquid metal particles covered with urea-formaldehyde with a mean diameter of 10 μm were utilized to restore conductivity in a broken circuit by the release its liquid core (liquid metal) to the damage site (Figure 3b) [49]. The circuit containing liquid metal microparticles can also heal spontaneously. When damaged, the droplets rupture to form new connections with neighbours and reroute electrical signals without interruption [50,51,52].
Soft liquid metal can undergo large deformations while maintaining its electrical stability and continuity. Thus, compositing with highly flexible organic materials can fabricate a highly stretchable conductor. Generally, the resistance of bulk liquid metal changes linearly with the value of deformation and satisfies the formula R = ρ L / S   (Figure 3c) [53]. However, the composites consisting of liquid metal micro/nano particles may demonstrate the stretch-enhanced conductivity [54]. For example, Wang et al. reported that the electrical conductivity of the 3D LM composite increases monotonically with applied tensile strain, from 5.3 × 105 S/m under the stretch-free condition to 1.1 × 106 S/m at 400% strain (Figure 3d) [55]. Similarly, a liquid metal-filled magnetorheological elastomer shows the minimum conductivity in the relaxed state and increases drastically under any deformation (Figure 3e) [56]. Moreover, based on the advantages of flexibility and high conductivity, liquid metal-based composites with electrical anisotropy have also been discovered. Li et al. proposed a composite that exhibits anisotropic conductivity and a significantly enhanced electrical anisotropy under mechanical deformation (Figure 3f) [57]. Those provide new ideas for the preparation of high-strain biosensors [58].
Besides, liquid metal composites also demonstrate a reversible transition between the insulator and the conductor (resistivity span more than 109 times) through temperature regulation alone (Figure 3g,h) [59,60]. Furthermore, Liu et al. made temperature tunable conductor–insulator transition liquid metal composites in a diverse range. According to the melting point of liquid metal, they further roughly determined the conductive and insulating regions to guide future specific applications (Figure 3i) [61]. Those composites show the potential for temperature sensing in extreme environments.
It has not been found that room temperature liquid metals have a piezoelectric effect. So far, liquid metal-based mechanical sensors are realized by measuring the change value of resistance [62] and/or capacitance [63,64]. For example, liquid metal strain sensors can sense strain by measuring the resistance change resulting from the deformation of the liquid metal circuit during elongation [65]. A clear correspondence between deformation amount and the change of resistance/capacitance, such as an obvious linear relationship, is the basic condition for high-precision sensing. Thus, the reliable electrical properties of liquid metals and their composites described above are highly dependent on sensors. We will examine these in detail in Section 3.

2.4. Biocompatibility

Biocompatibility, an important factor for biosensors, must also be considered. Unlike mercury, Ga and its alloy remain stable at room temperature and do not volatilize because of the lower surface vapor pressure. This allows gallium and its alloy to be used stably in a normal temperature and pressure environment. Although the toxicity of liquid metal remains controversial, there is increasing evidence showing its biocompatibility both in vitro and in vivo. Small doses of bulk liquid metal have been proven to be biocompatible. For example, gallium alloys have been employed as implantable biomaterials, such as restorative material in dentistry and as reconnection agents for nerve injury and bone cement [66,67]. In addition, liquid metals entering the body’s circulatory system also display good biocompatibility. Lu et al. systematically evaluated the toxicity of liquid metal particles in mice, and none of the important indices of liver function, including alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase, and albumin concentration, were affected by the intravenous injection of liquid metal particles [68]. The mechanism of low toxicity for biological bodies remains elusive but appears to be strongly related to the following factors. One is that the liquid metal particles can be gradually degraded when exposed to an acidic environment. The other factor is that residual liquid metal (perhaps the majority) can be removed through both fecal and renal excretions [25]. For most liquid metal-based biosensors, the embedded structure prevents the liquid metal from directly contactingthe tissues. Overall, liquid metal can be used as a safe material to construct biosensors.

3. Applications

Liquid metal is a favorable candidate as a transducing element for in vivo or in vitro signals in biosensors due to its outstanding features. Attributed to its high electrical conductivity, liquid metal has been widely used as soft electrodes and electrical interconnection. As is shown in Figure 4, owning to their high flexibility and adhesivity, the on-skin biosensors based on liquid metal are able to sense in vitro signals dynamically and conformally, such as temperature, pressure, strain, gas, and light. Besides, it is possible to utilize liquid metal in implantable sensors due to its inherent biocompatibility, for example, artificial muscle, nerve connection, and implantable sensors.

3.1. Mechanical Sensor

Biomechanical movement is achieved through force generated by muscle stretching or contraction. Perceiving the environment by touch (i.e., pressure) is also achieved through mechanical interaction. Therefore, the mechanical sensors for pressure, tension, and strain are an important part of detecting biological motion and health. Liquid metal mechanical sensors are mainly realized by measuring the change in resistance or capacitance. The principle of resistive/capacitance mechanical sensors is based on the measurement of the change to an electrical signal induced by the deformation of liquid metal under mechanical force. The change value of resistive can be calculated by R = ρ L / S , where ρ is the resistivity, R is the resistance, S is the cross-sectional area, and L is the length. The intrinsically low Young’s modulus is obtained duet to the liquid state of Ga and its alloy at room temperature. Thus, mechanical excitation/stress/strain/pressure can easily cause the deformation of the liquid metal circuit, which further induces the electronic signal change. Once the external force acting on the surface of the sensor stimulates the deformation of liquid metal, the corresponding mechanical signal can be calculated by the detectable electrical signal (principle depicted in Figure 5a). The sensitivity of the sensor depends not only on the liquid metal, but also on the encapsulating organic materials. A liquid metal with a low modulus can be the core component of a highly responsive sensor. However, the sensitivity of the sensor depends not only on the liquid metal, but also on the encapsulating organic materials. Thus, to improve the overall performance of sensors, the packaging material with low Young’s modulus is highly desirable [69,70]. The value of capacity can be calculated by C = ε 0 ε r A d , where C is the capacitance, ε0 is the vacuum permittivity, εr is the relative permittivity, A is the area of electrodes, and d is the distance between electrodes. Generally, these sensors consist of two electrodes separated by a dielectric. The distance between two electrodes of the capacitor decreases under pressing or stretching, and the parameter, generally the distance d and the relative permittivity εr, decreases correspondingly. By measuring the change of capacitance, the mechanical signal can be obtained.

3.1.1. Pressure Sensor

Liquid metals with low modulus easily deform when force is applied and are highly sensitive to mechanical signals. As mentioned above, liquid metal does not show a piezoelectric effect, making liquid metal sensors limited to resistive and capacitive. Micro-deformation on the pressure sensor leads to fluid displacement or deformation of liquid metal which corresponds to the alteration in resistance or capacitive. By characterizing those electrical properties changes, highly sensitive and flexible sensors can be prepared (Figure 5a) [71]. Those pressure sensors are capable of resolving small pressure changes in the few kPa range, making them suitable for applications such as tactile sensing and heart-rate monitoring. Compared with that of solid materials, the pressure to deform flexible liquid metal is smaller. Meanwhile, the structure of the liquid metal circuit is easier to design and fabricate by using micro-channel infusion, or liquid metal printing.
Generally, the resistance pressure sensors perform through sensing the monitored resistance change of liquid metal circuits induced by the simultaneous deformation of liquid metal and matrix materials. Thus, the performance sensors mainly depend on the sensitivity of the matrix material and the liquid metal to pressure. Soft materials with low elastic modulus and the functional liquid metal circuit could construct highly sensitive pressure sensor, and even realize tactile sensing. A 3D helical LM layout incorporated inside the hydrogel matrix was used to fabricate soft pressure sensors. Limited by the high modulus of the hydrogel, the sensor presents a poor performance in distinguishing varying levels of pressure (i.e., 1, 10, and 100 kPa) (Figure 5b) [72]. The 3D liquid metal circuit can theoretically increase sensitivity, but it seems that the impact of the 3D structure is not as evident as that of low elastic modulus. The matrix material with lower modulus, such as soft elastomeric silicone rubber and PDMS, can achieve high-precision pressure sensing. Lim et al. proposed a sensor with a 2D liquid metal circuit that could reach high sensitivity (2–20 × 10−3 kPa−1) and be capable of distinguishing compressive loads with an extremely large range of pressure (2 to 400 kPa). It is able to distinguish and quantify the localized pressure exerted through distinct actions like barefoot stepping and walking using different footwear (Figure 5c) [71,73]. Optimizing the liquid metal circuit can improve the accuracy of the sensor and reduce the response time. For example, an embedded equivalent Wheatstone bridge circuit makes the most of tangential and radial strain fields, leading to high sensitivities of a 0.0835 kPa−1 change in output voltage. Galinstan microchannels capable of resolving sub-50 Pa changes in pressure with sub-100 Pa detection limits and a response time of 90 ms is demonstrated to detect subtle pressures with a detection limit of ≈98 Pa and resolution of less than 50 Pa (Figure 5d,e) [74]. Generally, the force will be buffered by the organic matrix material, even with low modulus, when the liquid metal circuit is far away from the stress point. Using microstructure to transfer stress is another way to improve the performance of sensors (comparing Figure 5a,f). An LM-based pressure sensor with a 3D-printed rigid micro-bump array obtains enhanced sensitivity (0.158 kPa−1) by locally concentrating the deformation of the microchannel without obvious hysteresis and a stable signal response under cyclic loading (Figure 5f,g) [23].
Similarly, the capacitive changes once the liquid metal circuit acted by vertical pressure will deform [76]. Compared with resistive sensors, capacitive sensors show better sensitivity and can be simpler and more stable. The sensitivities of the GaIn-BiInSn leakage-free electrodes based sensors can reach 0.45 MPa−1 [77]. Sensitivity to a given force is maximized by using dielectric materials that are soft and have a high dielectric constant. Ecoflex is a better candidate. Yang et al. introduced a liquid metal-based composite consisting of EGaIn and Ecoflex for pressure sensing, called liquid metal elastomer foam [75]. By creating a foam architecture, composite obtains large permittivity, large permittivity change, and is ultra-soft. Pressing the sensor gave rise to an increase in permittivity. After the air had been fully pressed out, the change in permittivity would become negative due to the changed shape of EGaIn droplets. These properties gave the composite the ability to be applied in tactile sensing and motion sensing (Figure 5h) [75]. Interestingly, they also achieved to power tactile sensor wirelessly from 3 m away with high power conversion efficiency.
Overall, liquid metal pressure sensors have various applications such as e-skins [78] and soft keyboards [79], and ECG monitoring [80], etc. Liquid metal made sensors and other electronics can be integrated onto clothes and accessories, such as shirts, socks, or wrist bands, to establish intelligent human–machine interaction, and health monitoring [39]. For real-life application convenience, integrated electronics were designed to be wireless when it is possible.

3.1.2. Strain Sensor

Muscle contraction and muscle relaxation help in various physiological activities, such as joint motions and heartbeat. Dielectric Elastomer Actuators (DEA), an artificial muscle structure, is a typical sandwich structure combing a dielectric elastomer and soft electrodes on both sides of it. Compliant electrodes should not only be super stretchable with negligible stiffness but also highly conductive at high strains [81]. Liquid metal can be adopted as soft electrodes to actuate certain elastomer to fabricate artificial muscle, having superior performance to other traditional electrodes.
Relatively good compliance and conductivity are provided by carbon-based (carbon grease, graphene [82], and single-walled carbon nanotubes [83]), and metal-based electrodes [84], while the intrinsic stiffness of solid confines the expansion of the elastomer middle layer. For conductive liquid electrodes [85], high fluidity, poor conductivity, and easy electrolyzation impede its further practice. Semi-solid electrodes, including carbon grease and silver grease, are a better compromise choice compared with solid or liquid electrodes on stiffness and conductivity, but conversely, have unstable conductivity due to elements aggregation while deformation. Hence, Liu [86] proposed a liquid metal electrode with high conductivity and negligible stiffness at high strain simultaneously, promising large area strain at relatively lower voltage and stability under 30 cycling tests. Clearly, liquid metal electrode-a single-layer compliant electrode of DEA is fabricated simply by painting liquid metal on the 300% biaxially prestrained VHB 4905 film directly. Area expansions induced applied voltage of the films were measured to evaluate the performance of such liquid metal electrode. The result shows that the DEA achieved a much better strain of over 250% at 3.5 kV than the existing approaches. However, the sample underwent an electric breakdown due to the defects of the DE films, and the multi-layer structure remains to be explored in the future base on liquid metal electrodes.
Some actuators have been introduced in pneumatic artificial muscles (PAMs) based on their compliant, light, and compact features. A pressure sensing EGaIn microchannel is currently used to investigate the force sensing in the actuator [87]. A novel concept of a 3D helical soft sensor positioned around McKibben’s muscle was introduced by King and Park et al. [88,89]. To improve the non-linear response of previous actuators, Park et al. [89] designed a McKibben PAM comprising a multi-layered elastomer tube with embedded Kevlar threads and an EGaIn filled spiral microchannel (diameter of 120 μm). Under air pressure of 0–105 kPa., the prototype was able to create linear contraction force and strain up to approximately 65 N and 22.5%, respectively.
Besides the McKibben’s muscles, a multi-layer pneumatic artificial muscle embedded with biomimetic microfluidic sensors based on the muscle spindles and Golgi tendon organs (Figure 6a) was proposed as well [90]. The structure of the actuator was stacked with layers and core in the following order: silicone layer (force sensor), laser-cut plastic, sheet, core, laser-cut plastic sheet, and silicone layer (contractile sensor) (Figure 6b,c). The top and bottom layers of silicone were embedded with microchannels (sensors) that have cross-sectional dimensions of 0.2 × 0.2 mm thickness, in which liquid metal EGaIn was injected to act as the resistive force and contractive sensors, mimicking the function of the Golgi tendon organ and muscle spindle in humans.
The force versus contraction response characterization was tested by a repeating procedure. In the substantial process, the force of the program kept increasing with the constant pressure applied, in which the pressure was determined by air volume. The sFPAM was then manually contracted at a speed of 10 mm/min at a steady-state value of force until the program’s force reading returned to zero. The corresponding contraction and force change responses to the pressure (Figure 6d–f) were in a range of 0–90 kPa, with a maximum value of 19.8% ± 0.2% and 24 ± 1.37 N respectively. It is noteworthy that the desirable decoupling effect of contractile and force sensors will facilitate effective control in the practice. The integrated application of such actuators in soft robots needs to be further developed.
Artificial muscles can be regarded as strain sensors in vivo. Moreover, the strain-sensing used to monitor the deformation and the tensile force in vitro are significant for the detection of biological vital signs. Strain sensors can be made by embedding liquid metal in an organic matrix [53]. Strain induces the shape change of liquid metal that maintains electrical stability and continuity under deformation. Thus, the amount of change in resistance and/or capacitance corresponds linearly to that of deformation. By measuring the resistance and/or capacitance change induced by shape change, the value of strain can be obtained [91].
Liquid metal-embedded elastomer compositions have been widely investigated for strain sensors [63,92]. Human motion can be monitored by attaching strain sensors on human joints, such as fingers [93], wrists [94], and necks [95]. Figure 7a, b presents the resistance change when the finger is bent at different angles, with different signal peaks representing different bending degrees. Therefore, special electrical signals can be generated through the whole palm detection, further realizing simple logic operations, such as typing “HELLO WORLD” (Figure 7c,d) [96]. Similarly, liquid metal is filled into the core of the hollow and extremely stretchable elastomeric fiber, and the resulting fibers are used to fabricate the high strain sensors to detect the movement of large joints, such as the knee (Figure 7e) [62,64]. The maximum stretch of those sensors is not limited by the breaking elongation of liquid metal. Theoretically, those sensors can obtain an ultra-wide measurement range of strain (up to ~700%) [53].
In addition, liquid metal micro/nano particles are also used to replace traditional solid particles to prepare flexible sensors [97]. For example, EGaIn in combination with sonication was able to initiate the polymerization of acrylic acid and further gel the resultant poly(acrylic acid) into self-healing strain sensors [98]. The hydrogel sensor exhibits excellent electrical and mechanical self-healing ability and can be fabricated as an epidermal sensor, which can accurately monitor human activities, such as necks (Figure 7f) [50,95]. As mentioned above, liquid metal composites demonstrate strain enhanced electronic conductivity. In combination with a highly flexible matrix, liquid metal-based composites have the potential to be applied for developing highly sensitive flexible sensors. As is shown in Figure 7g, the resistance decreased drastically by more than 3 orders of magnitude when the bending angle increased to 90° [56].
In Section 3.1, we reviewed the liquid metal-based pressure and strain biosensors, and compared their performance and evaluation in Table 1. Due to the unique physical and electrical properties of liquid metal, they have shown many advantages in flexible and stretchable biosensors. Artificial muscle is one of the important applications. However, the accuracy and response time of liquid metal sensors need to be improved. Therefore, more compatible composite materials and optimal microstructure still need to be explored.

3.2. Gas Sensor

The gas sensor is an indispensable part of constructing a biological robot because the recognition and perception of gas are one of the necessary abilities for living organisms. The metal oxide semiconductor sensor can detect the gas by changing its conductivity after adsorbing the gas. As is mentioned above, β-Ga2O3 is a semiconductor material with a wide bandgap and high breakdown electric field [41]. The conductivity of β-Ga2O3 can be easily influenced by an ambient atmosphere at elevated temperature. However, at low temperatures, the oxygen-vacancies diffusion is frozen and the bulk electrical conductivity no longer responds to the change of circumstance gas composition [42]. Based on this principle, the liquid metal gas sensors responding to CO and H2 have been developed [99,100]. Recently, Kourosh et al. proposed a novel gas sensor by operating liquid metal micro/nano particles after annealing to detect the nitrogen dioxide (NO2) and hydrogen (H2) (Figure 8a,b). The NO2-sensing mechanism is based on the chemisorption of NO2 gas molecules onto the sample surface. Differently, the H2-sensing mechanism is described as the n-type behavior of liquid metal oxide. The chemical interactions between H2 gas molecules and oxygen ions on the sample surface at elevated temperatures. The number of free electrons is reduced, which results in an increase of the resistance in sensor materials. The responsivity of liquid metal oxide compounds is achieved through the choice of solvent (DMSO or water) and added elements (In, Sn, or Zn). The Ga–In sensor only presents a response to NO2 (4.5 ppm) at 150 °C but shows a higher selectivity toward H2 (1.0%) when the temperature ramps up to 350 °C and above. A similar trend is observed for a Ga only compounds selectivity to H2 above 300 °C. The preparation process in DMSO gave rise to predominantly monoclinic β-Ga2O3 crystals which are favorable for gas sensing, while the emergence of rhombohedral α -Ga2O3 phases from the water sonication process led to inactive samples [22]. Overall, β-Ga2O3 is also an efficient usage as sensing materials for inorganic gas. Recently, organic gas sensors based on β-Ga2O3 was developed. Serge et al. proposed a C2H5OH sensor consisting of Ga2O3-WO3 heterostructures with a thickness of approximately ~8.0 nm. This sensor can make repeatable and reversible responses to C2H5OH in the concentration range of 1–600 ppm. The resistances of Ga2O3-WO3 heterostructures decrease from 6.5 MΩ to 0.4 MΩ in 3s after exposure to ethanol, exhibiting the n-type behavior. This gas sensor exhibited about 4 and 10-fold improvement to that of WO3 and Ga2O3 nanofilms at 275 °C. Besides, shorter response/recover time and excellent selectivity towards ethanol were observed (Figure 8c,d) [101].
It is obvious that the working temperature of these gas sensors is high (almost above 200 °C). Reducing the temperature is a significant research aim regarding oxide semiconductor sensors. Recently, physisorption between Ga oxide and inorganic gas at 100 °C was discovered. Based on this phenomenon, a low-temperature gas sensing with a detection limit as low as 1 and 20 ppm for NO2 and NH3 respectively was fabricated (Figure 8e,f) [102]. The resistance of the sensor decreased when exposed to NO2 gas due to the formation of negatively charged oxygen species. Moreover, the opposite resistance change is observed upon exposure to NH3. Although this sensor shows poor durability and does not fully recover to the original baseline, this new mechanism provides another way for low-temperature gas sensing.
Gas sensors based on liquid metal semiconductors are an emerging way to detect gases, including CO, H2, NO2, C2H5OH, and NH3. We summarized the current indicators of liquid metal gas sensors in Table 2. Obviously, the detection range of the gas sensor based on liquid metal-semiconductor is small, and it is difficult to simultaneously detect multiple types of gases. In addition, for certain inorganic gases, such as H2, the detectable threshold concentration is higher. Although it is currently possible to achieve gas detection at 100 °C, there is still a long way to go for high-precision room temperature gas detection.

3.3. Temperature Sensor

Temperature is an important parameter for describing the life characteristics of organisms. The volume expansion method and the Seebeck effect are the principles of common temperature sensors. The volume expansion of fluid could be determined by the dimensions of the enclosing container and is indirectly correlated to a specific temperature value. Thus, the measured temperature can be determined by detecting the volume change of liquid metal. The traditional watermark thermometer is based on a similar mechanism. There are commercially available gallium-based volume expansion thermometers because of their low toxicity. Different from mercury, Ga is not easy to volatilize and can hardly be inhaled by the human body in the atmospheric environment. Besides, it is proven to have low toxicity even if it enters into the body’s circulatory system. However, the melting point of gallium (29 °C) is higher than that of mercury (−39 °C), and it is difficult to obtain the Ga-based alloy with an ultra-low melting point. Moreover, gallium alloys have a negative coefficient of thermal expansion. Once the temperature is lower than its melting point, the gallium-based thermometer may cause structural damage due to the negative expansion. Therefore, Ga-based thermometers are not currently suitable for low-temperature measurements. Besides, the sensitivity of volume expansion-based temperature sensors is low.
Thermocouples based on the Seebeck effect are commonly used temperature measurement devices in the industry. Those sensors are more sensitive and respond more quickly. Liu et al. proposed the direct printing of thermocouples by liquid metal [3]. The fabricated temperature sensor composed of gallium and its matching metal exhibited excellent linear dependence between thermoelectric voltage and temperature within the range of 0 to 200 °C. Figure 9a presents the voltage-temperature difference profiles of the thermocouples consisting of Ga and the matching metal wires. All these thermocouples exhibit nearly linear behavior in the experimented temperature range. The accuracy of the thermocouples was ±0.5 °C. Further, it was disclosed that liquid metals with high purity could be used for high precision thermocouples with tiny size, which were quite convenient for microchannel measurement due to their fluidity in making sensors. Further, a low-melting-point Ga-Bi alloy micro-thermocouple was proposed by using a microfluidic injection method. This thermocouple shows a higher Seebeck coefficient (−10.54 μV/K) and high flexibility. No structural damage and electrical degradation were observed after 200 times bending at 90° (Figure 9b) [103].
Although many soft temperature sensors have been reported, stretchable temperature sensors maintaining a stable performance under 50% strain are still challenging [104]. An obvious limitation is that the embedded circuit is easily broken under deformation [105]. As mentioned above, severe deformation, such as bending and stretching, will not affect the electrical stability and the connection of the liquid metal circuit. Based on this principle, a stretchable temperature sensor with an active-matrix consisting of EGaInSn and single-walled carbon nanotubes was fabricated. These highly stretchable temperature sensors exhibit a high resistance sensitivity of 1.0% °C−1 and a response time of 1.8 s in the temperature range from 15 to 45 °C (Figure 9c) [106].
The above-mentioned temperature sensors usually measure electrical changes to identify temperature changes. We compared the above-mentioned sensors in Table 3. The temperature information needs to be processed by the central arithmetic unit to realize the corresponding logic control. This is similar to the complex reflexes of organisms to external temperature stimuli. Of note, simple reflection systems similar to living organisms can also be realized by liquid metal logic circuits. Dickey et al. proposed a soft liquid metal-based sensor to achieve a simple reflection of tactile logic [65]. Liquid metal is patterned between two layers of PDMS, one transparent and one containing thermochromic species (Figure 9d). Passing a current through the liquid metal generates Joule heating and the thermochromic species alter their colors above critical temperatures due to the molecular structure rearrangement (Figure 9e). Deformation can affect the resistance of the liquid metal circuit, further affecting the Joule heating. Thus, the deformation of liquid metal will couple shape changes to Joule heating, thereby enabling the tunable thermo-mechanochromic sensing of touch and strain.

3.4. Optical Sensor

Either solid and liquid nanoparticles [107,108] or colloidal liquid gallium-based nanoparticles [109] have been verified to have typical UV plasmonic properties. Recently, attention has been focused on the applications that integrate optical UV plasmonic with non-optical properties like electronics, photoacoustic [110], and optomechanics [111], and electrochemistry [112] at the nanoscale.
Ivan et al. [110] considered the dynamically reconfigurable plasmonic structure of liquid metal through experimental equipment employed in photoacoustics. The ultrasonic transducer and light showed in the schematic figure (Figure 10a) facilitate the capillary oscillations of the nanodroplets to manipulate the plasmon resonances, allowing it to operate in in vivo biological environments and opening new opportunities for biology and medicine.
Taking the equivalent optical property of LM microdroplets into account, Lin et al. [113] applied the microdroplets to make optical sensors with linear response and to conduct the solar energy harvesting based on the intrinsic photothermal property of them. In their experiment, monodispersed LM microspheres can simply be fabricated by a size controllable microfluidic method. The photothermal effect induced NIR sensor with thermochromic chiral nematic liquid crystals as an endothermic medium can reflect blue color once receiving light from NIR radiation (Figure 10b). The reflectance performs a linear increase versus radiation time.
Combing the properties of flexibility, low melting point, and relatively high electrical conductivity, liquid metal facilitates the further investigation of promising optical sensors. Yun [114] proposed a high-performance UV sensor system driven by an integrated energy storage system. With the patterned liquid metal interconnections, the device integrated with a UV sensor and asymmetric micro-supercapacitors is likely to be stretchable, flexible, and foldable (Figure 10c). The integrated device showed excellent mechanical stability under over 2000 folding cycles on a patterned, waterproof mineral paper with liquid metal Galinstan. Besides, the sensor was operated for 1500 s with repetitive UV exposure cycles and folding deformation. Moreover, the asymmetric micro-supercapacitors can also provide energy without external wire-connection, guaranteeing the further application in wireless wearable and foldable devices embedded power sources.
Innovatively, wireless power transfer is playing a more and more significant role in biomedical implantable devices, thus attracting increasing attention in applications [115,116]. Amit et al. [115] put up with a wireless telemetry system based on EGaIn coils for an artificial retina to restore partial vision to the blind. The evaluating power transfer efficiency and stable performance imply the possibility of replacing the stiff and uncomfortable traditional coils used in biomedical implants. Then, Zhao et al. [116] further realized eye movement tracking by replacing traditional copper coils with the liquid metal coil (Figure 10d). The measured reliable performance of the LM coil guaranteed the promising applicable value in the implanted system combing with the intrinsic flexibility.

3.5. Electrical Sensor

Liquid metal is an al biomaterial for nerve connection that contributed to its high electrical conductivity, electrical stability, favorable compliance, and flexibility. Tests of electrical characteristic show that GaInSn alloy has a distinctive advantage over Riger’s solution, as the resistance of it (4.396 × 10−8 Ω · m) is much lower than that of Riger’s solution (0.8709 Ω · m) and the resistance is more stable from 1 Hz to10 kHz [117] (Figure 11a). Gallium has the same stable resistance of 5.92 Ω at the frequency a range 0–10 kHz, and 0.51 Ω m at a temperature of −16~50 °C within the range of human activities [66] (Figure 11b). Both of the results verify the feasibility of LM for conducting electroneurographic signals and relative experiments on the bullfrog and mouse are conducted.
In the experiment of the electrical reconnection of the bullfrog’s sciatic nerve, liquid metal GaInSn was injected into a rectangular groove or glass capillary pipette to connect the extracted proximal sciatic nerve and gastrocnemius with the distal sciatic nerve [66] (Figure 11c). In the contrast experiments between LM and Ringer’s solution, the response of electrophysiological stimulation with LM as nerve connected medium was more similar to that of intact groups. Then, a further experiment employed gallium to treat the transected nerve in mice in vivo [30]. The output signal from the nerve reconnected shows a remarkably similar tendency to the intact nerve. Furthermore, the LM is found to improve the recovery of the nerve’s function. The muscle atrophy was observed to be successfully delayed by two months, which was obtained from the detection of fibrillation potential. The relieving effect of muscle atrophy was then validated in the histological analysis. Although the gastrocnemius exhibited pathological atrophied muscle fibers in the bot group, the LM treated nerve maintained a weight of 82% while the maintenance rate of the untreated group is 17%. The applications above exhibit significant value of the liquid metal in nerve repair. However, the trial above based on LM exhibits only nerve reconnection rather than nerve regeneration, which needs further investigations in the future [118].
The electrical stimulation of nerve connection relies on a rigid solid electrode to transient input and output signals, like silver-coated copper electrodes in previous research. However, the mismatch elastic modulus between soft tissues and the rigid electrode may impede the researcher from acquiring an accurate analysis and long-term application. Thus, researchers tend to develop a more soft electrode to facilitate compatible contact with tissues and potentiate the capability of nerve implants [119] (Figure 11d). The similar mechanical property between soft electrode and tissues (elastic modulus of 1.055 Mpa for LM, 0.1~1 Mpa for tissues) promises better integration and stable functionality. Guo [120] proposed a liquid metal-based flexible neural microelectrode array and applied it in recovering animal locomotion functions successfully. After evaluating the mechanical and electrochemical characteristics and biocompatibility of the soft electrodes, the microelectrode array was implanted into the nerve of the dead frog rhythmically contract and move of its lower limbs was achieved under electrical stimulation.
A series of experiments on neural connections proved the unique role of liquid metal. Further theoretical exploration is still necessary, but we should focus more attention on solving the problems faced by applications. For example, although liquid metal has been proven to have good biocompatibility, it is still unknown whether it will affect the surrounding tissues or organs when it exists in the body for a long time. At the same time, the problem of the sensitivity attenuation of liquid metal electrical signals may arise in the human body environment.

3.6. Multifunctional Sensor

Implantable medical devices (IMDs) are efficient methods to monitor and treat serious diseases and physiological conditions. Concerning the typical problems—including invasive implantation surgery, related complications, high cost, discomfort, and long-term maintaining difficulty—of traditional IMD, Liu’s group first introduced liquid metal into the IMD field [121]. Based on a minimally invasive injection process, they fabricated 3D compliant medical electronics inside the biological tissues through directly injecting Ga67In20.5Sn12.5 into the target tissues (Figure 12a,b). With liquid metal embedded in packaging material (biodegradable gelatin), the new minimally invasion implantation brings less painfulness for patients compared with the conventional surgical principles. Besides, the advantage of simplicity and low cost makes liquid metal-based injectable electrodes outperform other IMD. The feasibility of the 3D electronics was demonstrated by in vitro and in vivo experiments. The results proved the excellent nerve connection property and good electrical properties of LM-based composite electrodes (Figure 12c). However, the precision of this manually-made electrode is expected to be higher through mechanical control in later research. Some more efficient packaging material can be an alternative to promise degradability and solidification.
Very recently, a compact and flexible implantable medical device was designed [122], integrating soft miniaturized actuation and sensing units with different sizes and material for cardiac catheters (Figure 12d). Both the soft elements are fabricated from eutectic gallium–indium (EGaIn). The in-situ actuation is achieved by a soft thick-walled cylindrical actuator and the innovative contribution of this work is that this soft fiber-reinforced actuator depends on hydraulic actuation rather than popular pneumatics [123], which further promise controllability and safety. The hyperplastic modeling of the designed soft sensing unit was given and provided theoretical parameterization and characterization of the unit. The following experimental validation presented the static and dynamic characterization of the miniaturized actuation and sensing unit. Corresponding to heart wall movement dynamics, the actuator is desired to keep stable at a displacement in the range of 1–2 mm. The unit can response with a ~0.52 V peak value at high frequencies of at least a bandwidth of 1.5 Hz, which satisfies the need in cardiac ablation procedures (Figure 12e).

4. Challenges

This review illustrated the achievements of liquid metal in biosensors. Liquid metal with typical characteristics––including electrical conductivity, flexibility, low toxicity, and low melting point––are currently used in diverse applications. This new-emerging biomaterial broadens the applications of biosensors in wearable and implantable devices. Despite the extensive progress that has been made in liquid metal biosensors, there are still several critical issues remaining to be tackled.

4.1. Materials and Fabrication

Materials used to be biosensors are relatively restricted in some specific types and alloys like GaIn, GaInSn, and BiInSn alloy. Considering the electrical conductivity, safety, and signal sensitivity, optimal compositions still needed to be explored. A strategy like modification seems to be practicable. For example, liquid metal particles are usually conjugated with receptor-mediated substances for targeted tumor ablation therapy [124]. Some specific surfactants are utilized to be anti-oxidation agents for oxide prevention in some circumstances. Thus, more modifying agents for liquid metal are considered to increase the bio-signal sensitivity by chemical reaction or bond formation. Feasible fabricating methods are necessary for the reliability of sensors. A high-resolution printing method based on Spraying and Wiping Processing is proposed by Liu’s group [125], the practice in SRR arrays with different feature sizes (2 mm and 1 mm) manifests the reliability for high-resolution circuits. The resolution of other flexible sensors and electrodes with smaller feature sizes based on liquid metal is expected to improve through this method. However, more high-precision and large-scale circuit preparation methods need to be explored.

4.2. Applications

For implantable biosensors, such as muscle, nerve connection, implantable medical devices, and optical sensors, it is necessary to take both the function and the patient’s experience into consideration. Liquid metal can be an ideal candidate for signal transmission in nerve reconnection. However, muscle atrophy in the tissue with the repaired nerve is inevitable, though the liquid metal alleviates and delays the necrosis time. Thus, great efforts should be made for promoting the regeneration of the transected nerve. It is expected to accelerate the research and clinical applications of nerve reconnection with the aid of a liquid metal electronic medium. On the other hand, concerning the feeling of the targeted treatment group, the implantable micro-medical device that needs to penetrate directly into the biological body is not always conformal in tissues. Generally, a hollow catheter is used to guide navigation. Hence, a soft and comfortable catheter is of vital importance for a comfortable experience and for facilities to lessen complications.

5. Perspective

Insight should be focused on sensors integrating monitoring, diagnosing, and therapeutic functions. Generally, most medical devices exert their influence independently. The in-situ or on-skin biosensors detect static signals like temperature, humidity, force, and monitor motion generated from the biological body. Then detected signal information is processed in another analyzing unit, following corresponding measures. The process has the potential to be simplified in an integrated unit, achieving diagnose and therapy at the same time. Gallium has been introduced and investigated as a vascular contrast agent [126], which provides a nonsurgical method for revolutionizing the current radiological imaging. Moreover, liquid metal has been utilized for tumor ablation taking advantage of its unique photothermal effect [127]. A recent micro-device integrated with actuation and sensing function was made for cardiac ablation [122], in which liquid metal helped to keep the catheter soft and flexible. These sensing and therapeutic combination attempts provide a new direction to multi-functional biosensors.
The liquid metal usually serves as a soft circuit in electrode, interconnection, and antennas. It enables highly sensitive signal detection and stable performance during deformation, which is almost the optimal material for electrically conductive biosensor. Meanwhile. the more physical and chemical features of liquid metal are under investigation for further exploring the applications. Other properties like electromagnetic, optical UV plasma [109], and photothermal effect [127] are also expected to be applied in biosensors. For example, gallium oxide’s selectivity and sensitivity enable its use as a gas-sensing element [22] through reactions between the metal oxide surface, chemisorbed oxygen, and gas molecules oxidizing and reducing gas. Moreover, liquid metal nanoparticles own unique UV plasma effects [109], opening a new way for optical sensors.
The soft electrode is the primary form of liquid metal in resistant and capacitive sensors. Moreover, there is ongoing research for more forms of liquid metal, for example, liquid metal particles are showing promise, possessing several notable attributes [128,129]. They are easily fabricated and have a unique metal-oxidation structure and the deformable ability to merge, self-healed, and transform, which enables their useful application in composites, soft electronics, and microfluidic, and so on. Firstly, liquid metal particles in soft composites can be engineered to possess excellent thermal and electrical conductivity by applying an external force to the elastomer and stimulating the rupture of oxidation film outside the liquid metal particles. Such composites are capable of serving as soft sensors for damage detection [51] or motion monitoring [130]. For electrical conductance, Ren [131] proposed a new conceptual droplet circuit and evaluated the probability of the droplets enabled functional circuits. Also, some sequent applications in capacitor [132], transistor [133], and free-standing microelectrodes [113] verified the feasibility of liquid metal microdroplets. While the tune of particle-particle contacts or adhesion is still a vitally important issue to be tackled, more potential biomedical use requires the construction of a computing chip or devices.

6. Conclusions

To summarize, the article systematically reviews the properties and typical applications in biosensors. Gallium-/bismuth-based liquid metals possess a good combination of fluidic and metallic properties. The low viscosity owing to its fluidic property enables liquid metal to be easily-fabricated, deformable, and controllable, opening up the possibility of new applications in diverse areas. The electrically conductive capability ascribable to the metallic character ensures a biosensor with liquid metal electrodes that are more precise and sensitive.
Besides, the intrinsic chemical reactivity of gallium or its intermediate oxide opens up more opportunities for liquid metals. In particular, the conformality and flexibility make liquid metal a better choice in wearable biosensors. Likewise, implantable biosensors are also possible in practice, attributed to the biocompatibility of liquid metal. Attributed to all these unconventional characteristics, liquid metals are capable of serving as a catalyst, electrodes, transistor, energy harvest in biosensors and be an alternative to the rigid structure in medical devices.
Finding optimal materials and more appropriate fabricating methods and making full use of diverse forms of liquid metal are vitally important for fully exerting its potential in biosensors.
Liquid metal has been found to serve as a facilitator in biosensors for detecting biological physical signals—including auditory sense, visual sense, tactile sense, gustation—and monitoring biochemistry changes like blood glucose. To extend the future clinical practices of new biomaterials, tremendous efforts are required to better understand their instinct properties and long-term performances. More biosensors based on liquid metal are expected to integrate detecting, monitoring, and therapeutic functions.

Author Contributions

Literature searching, M.Z., X.W. and Z.H.; conceptualization, M.Z. and X.W.; visualization, M.Z. and X.W.; writing—original draft preparation, M.Z. and X.W.; writing—review and editing, M.Z., X.W. and W.R.; supervision, W.R.; project administration, W.R.; funding acquisition, W.R. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (No. 51890893 and No. 51706236), and the National Key R & D Program of China (No. 2018YFC1705106).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zhang, W.; Chen, C.; Yang, D.; Dong, G.; Jia, S.; Zhao, B.; Yan, L.; Yao, Q.; Sunna, A.; Liu, Y. Optical Biosensors Based on Nitrogen-Doped Graphene Functionalized with Magnetic Nanoparticles. Adv. Mater. Interfaces 2016, 3, 1600590. [Google Scholar] [CrossRef]
  2. Doron, E.; Penner, A. Acoustic biosensor for monitoring physiological conditions in a body implantation site. J. Acoust. Soc. Am. 2003, 113, 2397. [Google Scholar] [CrossRef]
  3. Li, H.; Yang, Y.; Liu, J. Printable tiny thermocouple by liquid metal gallium and its matching metal. Appl. Phys. Lett. 2012, 101, 073511. [Google Scholar] [CrossRef]
  4. Mohammed, M.G.; Kramer, R. All-Printed Flexible and Stretchable Electronics. Adv. Mater. 2017, 29, 1604965. [Google Scholar] [CrossRef] [PubMed]
  5. Wilson, A.D. Advances in Electronic-Nose Technologies for the Detection of Volatile Biomarker Metabolites in the Human Breath. Metabolites 2015, 5, 140–163. [Google Scholar] [CrossRef] [PubMed]
  6. David, M.; Florescu, M.; Bala, C. Biosensors for Antioxidants Detection: Trends and Perspectives. Biosensors 2020, 10, 112. [Google Scholar] [CrossRef] [PubMed]
  7. Bagdziunas, G.; Palinauskas, D. Poly(9H-carbazole) as a Organic Semiconductor for Enzymatic and Non-Enzymatic Glucose Sensors. Biosensors 2020, 10, 104. [Google Scholar] [CrossRef] [PubMed]
  8. David Nelson, A.; Shiveshwarkar, P.; Lim, B.; Rojas, G.; Abure, I.; Shrestha, A.; Jaworski, J. Tuning the Surface Charge of Self-Assembled Polydiacetylene Vesicles to Control Aggregation and Cell Binding. Biosensors 2020, 10, 132. [Google Scholar] [CrossRef] [PubMed]
  9. Senf, B.; Yeo, W.-H.; Kim, J.-H. Recent Advances in Portable Biosensors for Biomarker Detection in Body Fluids. Biosensors 2020, 10, 127. [Google Scholar] [CrossRef]
  10. Jin, X.; Liu, C.; Xu, T.; Su, L.; Zhang, X. Artificial intelligence biosensors: Challenges and prospects. Biosens. Bioelectron. 2020, 165, 112412. [Google Scholar] [CrossRef]
  11. Zhang, J.; Lei, J.; Pan, R.; Leng, C.; Hu, Z.; Ju, H. In situ assembly of gold nanoparticles on nitrogen-doped carbon nanotubes for sensitive immunosensing of microcystin-LR. Chem. Commun. 2011, 47, 668–670. [Google Scholar] [CrossRef] [PubMed]
  12. Zhang, X.; Zhou, D.; Sheng, S.; Yang, J.; Chen, X.; Xie, G.; Xiang, H. Electrochemical immunoassay for the cancer marker LMP-1(Epstein-Barr virus-derived latent membrane protein 1) using a glassy carbon electrode modified with Pd@Pt nanoparticles and a nanocomposite consisting of graphene sheets and MWCNTs. Microchim. Acta 2016, 183, 2055–2062. [Google Scholar] [CrossRef]
  13. Cao, X.; Ye, Y.; Liu, S. Gold nanoparticle-based signal amplification for biosensing. Anal. Biochem. 2011, 417, 1–16. [Google Scholar] [CrossRef]
  14. Orlov, A.V.; Bragina, V.A.; Nikitin, M.P.; Nikitin, P.I. Rapid dry-reagent immunomagnetic biosensing platform based on volumetric detection of nanoparticles on 3D structures. Biosens. Bioelectron. 2016, 79, 423–429. [Google Scholar] [CrossRef]
  15. Yang, Y.; Yang, X.; Tan, Y.; Yuan, Q. Recent progress in flexible and wearable bio-electronics based on nanomaterials. Nano Res. 2017, 10, 1560–1583. [Google Scholar] [CrossRef]
  16. Reglero Ruiz, J.A.; Sanjuán, A.M.; Vallejos, S.; García, F.C.; García, J.M. Smart Polymers in Micro and Nano Sensory Devices. Chemosensors 2018, 6, 12. [Google Scholar] [CrossRef] [Green Version]
  17. Culver, H.R.; Clegg, J.R.; Peppas, N.A. Analyte-Responsive Hydrogels: Intelligent Materials for Biosensing and Drug Delivery. Acc. Chem. Res. 2017, 50, 170–178. [Google Scholar] [CrossRef]
  18. Zhang, D.; Chi, B.; Li, B.; Gao, Z.; Du, Y.; Guo, J.; Wei, J. Fabrication of highly conductive graphene flexible circuits by 3D printing. Synth. Met. 2016, 217, 79–86. [Google Scholar] [CrossRef]
  19. Dinh, T.; Phan, H.-P.; Nguyen, T.-K.; Qamar, A.; Foisal, A.R.M.; Nguyen Viet, T.; Tran, C.-D.; Zhu, Y.; Nguyen, N.-T.; Dao, D.V. Environment-friendly carbon nanotube based flexible electronics for noninvasive and wearable healthcare. J. Mater. Chem. C 2016, 4, 10061–10068. [Google Scholar] [CrossRef]
  20. Dinh, T.; Nguyen, T.; Phan, H.-P.; Nguyen, N.-T.; Dao, D.V.; Bell, J. Stretchable respiration sensors: Advanced designs and multifunctional platforms for wearable physiological monitoring. Biosens. Bioelectron. 2020, 166, 112460. [Google Scholar] [CrossRef] [PubMed]
  21. Ren, Y.; Sun, X.; Liu, J. Advances in Liquid Metal-Enabled Flexible and Wearable Sensors. Micromachines 2020, 11, 200. [Google Scholar] [CrossRef] [Green Version]
  22. Idrus-Saidi, S.A.; Tang, J.; Yang, J.; Han, J.; Daeneke, T.; O’Mullane, A.P.; Kalantar-Zadeh, K. Liquid Metal-Based Route for Synthesizing and Tuning Gas-Sensing Elements. ACS Sens. 2020, 5, 1177–1189. [Google Scholar] [CrossRef]
  23. Kim, K.; Choi, J.; Jeong, Y.; Cho, I.; Kim, M.; Kim, S.; Oh, Y.; Park, I. Highly Sensitive and Wearable Liquid Metal-Based Pressure Sensor for Health Monitoring Applications: Integration of a 3D-Printed Microbump Array with the Microchannel. Adv. Healthc. Mater. 2019, 8, 1900978. [Google Scholar] [CrossRef] [PubMed]
  24. Jiao, Y.; Young, C.; Yang, S.; Oren, S.; Ceylan, H.; Kim, S.; Gopalakrishnan, K.; Taylor, P.C.; Dong, L. Wearable Graphene Sensors with Microfluidic Liquid Metal Wiring for Structural Health Monitoring and Human Body Motion Sensing. IEEE Sens. J. 2016, 16, 7870–7875. [Google Scholar] [CrossRef]
  25. Zhang, M.; Yao, S.; Rao, W.; Liu, J. Transformable soft liquid metal micro/nanomaterials. Mater. Sci. Eng. R Rep. 2019, 138, 1–35. [Google Scholar] [CrossRef]
  26. Kim, D.; Thissen, P.; Viner, G.; Lee, D.-W.; Choi, W.; Chabal, Y.J.; Lee, J.-B. Recovery of Nonwetting Characteristics by Surface Modification of Gallium-Based Liquid Metal Droplets Using Hydrochloric Acid Vapor. ACS Appl. Mater. Interfaces 2013, 5, 179–185. [Google Scholar] [CrossRef] [PubMed]
  27. Sheng, L.; He, Z.; Yao, Y.; Liu, J. Transient State Machine Enabled from the Colliding and Coalescence of a Swarm of Autonomously Running Liquid Metal Motors. Small 2015, 11, 5253–5261. [Google Scholar] [CrossRef]
  28. Wu, Y.-H.; Deng, Z.-F.; Peng, Z.-F.; Zheng, R.-M.; Liu, S.-Q.; Xing, S.-T.; Li, J.-Y.; Huang, D.-Q.; Liu, L. A Novel Strategy for Preparing Stretchable and Reliable Biphasic Liquid Metal. Adv. Funct. Mater. 2019, 29, 1903840. [Google Scholar] [CrossRef]
  29. Wang, Q.; Yu, Y.; Yang, J.; Liu, J. Fast Fabrication of Flexible Functional Circuits Based on Liquid Metal Dual-Trans Printing. Adv. Mater. 2015, 27, 7109–7116. [Google Scholar] [CrossRef]
  30. Hu, L.; Wang, L.; Ding, Y.; Zhan, S.; Liu, J. Manipulation of Liquid Metals on a Graphite Surface. Adv. Mater. 2016, 28, 9210–9217. [Google Scholar] [CrossRef]
  31. Chen, S.; Wang, L.; Zhang, Q.; Liu, J. Liquid metal fractals induced by synergistic oxidation. Sci. Bull. 2018, 63, 1513–1520. [Google Scholar] [CrossRef]
  32. Chen, S.; Yang, X.; Cui, Y.; Liu, J. Self-Growing and Serpentine Locomotion of Liquid Metal Induced by Copper Ions. ACS Appl. Mater. Interfaces 2018, 10, 22889–22895. [Google Scholar] [CrossRef]
  33. Tang, J.; Zhao, X.; Li, J.; Zhou, Y.; Liu, J. Liquid Metal Phagocytosis: Intermetallic Wetting Induced Particle Internalization. Adv. Sci. 2017, 4, 1700024. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Chang, H.; Guo, R.; Sun, Z.; Wang, H.; Hou, Y.; Wang, Q.; Rao, W.; Liu, J. Direct Writing and Repairable Paper Flexible Electronics Using Nickel–Liquid Metal Ink. Adv. Mater. Interfaces 2018, 5, 1800571. [Google Scholar] [CrossRef]
  35. Zhang, M.; Zhang, P.; Wang, Q.; Li, L.; Dong, S.; Liu, J.; Rao, W. Stretchable liquid metal electromagnetic interference shielding coating materials with superior effectiveness. J. Mater. Chem. C 2019, 7, 10331–10337. [Google Scholar] [CrossRef]
  36. Cao, L.; Yu, D.; Xia, Z.; Wan, H.; Liu, C.; Yin, T.; He, Z. Ferromagnetic Liquid Metal Putty-Like Material with Transformed Shape and Reconfigurable Polarity. Adv. Mater. 2020, 32, 2000827. [Google Scholar] [CrossRef]
  37. Yuan, B.; Zhao, C.; Sun, X.; Liu, J. Lightweight Liquid Metal Entity. Adv. Funct. Mater. 2020, 30, 1910709. [Google Scholar] [CrossRef]
  38. Shu, J.; Lu, Y.; Wang, E.; Li, X.; Tang, S.-Y.; Zhao, S.; Zhou, X.; Sun, L.; Li, W.; Zhang, S. Particle-Based Porous Materials for the Rapid and Spontaneous Diffusion of Liquid Metals. ACS Appl. Mater. Interfaces 2020, 12, 11163–11170. [Google Scholar] [CrossRef]
  39. Guo, R.; Wang, H.; Sun, X.; Yao, S.; Chang, H.; Wang, H.; Liu, J.; Zhang, Y. Semiliquid Metal Enabled Highly Conductive Wearable Electronics for Smart Fabrics. ACS Appl. Mater. Interfaces 2019, 11, 30019–30027. [Google Scholar] [CrossRef]
  40. Ren, L.; Zhuang, J.; Casillas, G.; Feng, H.; Liu, Y.; Xu, X.; Liu, Y.; Chen, J.; Du, Y.; Jiang, L.; et al. Nanodroplets for Stretchable Superconducting Circuits. Adv. Funct. Mater. 2016, 26, 8111–8118. [Google Scholar] [CrossRef]
  41. Lin, J.; Li, Q.; Liu, T.-Y.; Cui, Y.; Zheng, H.; Liu, J. Printing of Quasi-2D Semiconducting β-Ga2O3 in Constructing Electronic Devices via Room-Temperature Liquid Metal Oxide Skin. Phys. Status Solidi (RRL) Rapid Res. Lett. 2019, 13, 1900271. [Google Scholar] [CrossRef]
  42. Liu, Z.; Yamazaki, T.; Shen, Y.; Kikuta, T.; Nakatani, N.; Li, Y. O2 and CO sensing of Ga2O3 multiple nanowire gas sensors. Sens. Actuators B Chem. 2008, 129, 666–670. [Google Scholar] [CrossRef]
  43. Chang, H.; Zhang, P.; Guo, R.; Cui, Y.; Hou, Y.; Sun, Z.; Rao, W. Recoverable Liquid Metal Paste with Reversible Rheological Characteristic for Electronics Printing. ACS Appl. Mater. Interfaces 2020, 12, 14125–14135. [Google Scholar] [CrossRef]
  44. Guo, R.; Wang, X.; Chang, H.; Yu, W.; Liang, S.; Rao, W.; Liu, J. Ni-GaIn Amalgams Enabled Rapid and Customizable Fabrication of Wearable and Wireless Healthcare Electronics. Adv. Eng. Mater. 2018, 20, 1800054. [Google Scholar] [CrossRef]
  45. Kong, W.; Wang, Z.; Wang, M.; Manning, K.C.; Uppal, A.; Green, M.D.; Wang, R.Y.; Rykaczewski, K. Oxide-Mediated Formation of Chemically Stable Tungsten–Liquid Metal Mixtures for Enhanced Thermal Interfaces. Adv. Mater. 2019, 31, 1904309. [Google Scholar] [CrossRef] [PubMed]
  46. Fu, J.-H.; Gao, J.-Y.; Chen, S.; Qin, P.; Shi, J.-T.; Liu, J. Self-encapsulation liquid metal materials for flexible and stretchable electrical conductors. RSC Adv. 2019, 9, 35102–35108. [Google Scholar] [CrossRef] [Green Version]
  47. Tang, J.; Zhao, X.; Li, J.; Guo, R.; Zhou, Y.; Liu, J. Gallium-Based Liquid Metal Amalgams: Transitional-State Metallic Mixtures(TransM2ixes) with Enhanced and Tunable Electrical, Thermal, and Mechanical Properties. ACS Appl. Mater. Interfaces 2017, 9, 35977–35987. [Google Scholar] [CrossRef] [PubMed]
  48. Daeneke, T.; Khoshmanesh, K.; Mahmood, N.; de Castro, I.A.; Esrafilzadeh, D.; Barrow, S.J.; Dickey, M.D.; Kalantar-zadeh, K. Liquid metals: Fundamentals and applications in chemistry. Chem. Soc. Rev. 2018, 47, 4073–4111. [Google Scholar] [CrossRef]
  49. Blaiszik, B.J.; Kramer, S.L.B.; Grady, M.E.; McIlroy, D.A.; Moore, J.S.; Sottos, N.R.; White, S.R. Autonomic Restoration of Electrical Conductivity. Adv. Mater. 2012, 24, 398–401. [Google Scholar] [CrossRef]
  50. Liao, M.; Liao, H.; Ye, J.; Wan, P.; Zhang, L. Polyvinyl Alcohol-Stabilized Liquid Metal Hydrogel for Wearable Transient Epidermal Sensors. ACS Appl. Mater. Interfaces 2019, 11, 47358–47364. [Google Scholar] [CrossRef]
  51. Markvicka, E.J.; Bartlett, M.D.; Huang, X.; Majidi, C. An autonomously electrically self-healing liquid metal–elastomer composite for robust soft-matter robotics and electronics. Nat. Mater. 2018, 17, 618–624. [Google Scholar] [CrossRef] [PubMed]
  52. Zhang, P.; Wang, Q.; Guo, R.; Zhang, M.; Wang, S.; Lu, C.; Xue, M.; Fan, J.; He, Z.; Rao, W. Self-assembled ultrathin film of CNC/PVA–liquid metal composite as a multifunctional Janus material. Mater. Horiz. 2019, 6, 1643–1653. [Google Scholar] [CrossRef]
  53. Zhu, S.; So, J.-H.; Mays, R.; Desai, S.; Barnes, W.R.; Pourdeyhimi, B.; Dickey, M.D. Ultrastretchable Fibers with Metallic Conductivity Using a Liquid Metal Alloy Core. Adv. Funct. Mater. 2013, 23, 2308–2314. [Google Scholar] [CrossRef]
  54. Yu, D.; Liao, Y.; Song, Y.; Wang, S.; Wan, H.; Zeng, Y.; Yin, T.; Yang, W.; He, Z. A Super-Stretchable Liquid Metal Foamed Elastomer for Tunable Control of Electromagnetic Waves and Thermal Transport. Adv. Sci. 2020, 7, 2000177. [Google Scholar] [CrossRef]
  55. Yao, B.; Hong, W.; Chen, T.; Han, Z.; Xu, X.; Hu, R.; Hao, J.; Li, C.; Li, H.; Perini, S.E.; et al. Highly Stretchable Polymer Composite with Strain-Enhanced Electromagnetic Interference Shielding Effectiveness. Adv. Mater. 2020, 32, 1907499. [Google Scholar] [CrossRef]
  56. Yun, G.; Tang, S.-Y.; Sun, S.; Yuan, D.; Zhao, Q.; Deng, L.; Yan, S.; Du, H.; Dickey, M.D.; Li, W. Liquid metal-filled magnetorheological elastomer with positive piezoconductivity. Nat. Commun. 2019, 10, 1300. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Yun, G.; Tang, S.-Y.; Zhao, Q.; Zhang, Y.; Lu, H.; Yuan, D.; Sun, S.; Deng, L.; Dickey, M.D.; Li, W. Liquid Metal Composites with Anisotropic and Unconventional Piezoconductivity. Matter 2020, 3, 824–841. [Google Scholar] [CrossRef]
  58. Liu, T.-Y.; Qin, P.; Liu, J. Intelligent Liquid Integrated Functional Entity: A Basic Way to Innovate Future Advanced Biomimetic Soft Robotics. Adv. Intell. Syst. 2019, 1, 1900017. [Google Scholar] [CrossRef] [Green Version]
  59. Wang, H.; Yao, Y.; He, Z.; Rao, W.; Hu, L.; Chen, S.; Lin, J.; Gao, J.; Zhang, P.; Sun, X.; et al. A Highly Stretchable Liquid Metal Polymer as Reversible Transitional Insulator and Conductor. Adv. Mater. 2019, 31, 1901337. [Google Scholar] [CrossRef]
  60. Zhang, M.; Zhang, P.; Zhang, C.; Wang, Y.; Chang, H.; Rao, W. Porous and anisotropic liquid metal composites with tunable reflection ratio for low-temperature electromagnetic interference shielding. Appl. Mater. Today 2020, 19, 100612. [Google Scholar] [CrossRef]
  61. Chen, S.; Wang, H.-Z.; Sun, X.-Y.; Wang, Q.; Wang, X.-J.; Chen, L.-B.; Zhang, L.-J.; Guo, R.; Liu, J. Generalized way to make temperature tunable conductor–insulator transition liquid metal composites in a diverse range. Mater. Horiz. 2019, 6, 1854–1861. [Google Scholar] [CrossRef]
  62. Wu, Y.-H.; Zhen, R.-M.; Liu, H.-Z.; Liu, S.-Q.; Deng, Z.-F.; Wang, P.-P.; Chen, S.; Liu, L. Liquid metal fiber composed of a tubular channel as a high-performance strain sensor. J. Mater. Chem. C 2017, 5, 12483–12491. [Google Scholar] [CrossRef]
  63. Liu, S.; Sun, X.; Hildreth, O.J.; Rykaczewski, K. Design and characterization of a single channel two-liquid capacitor and its application to hyperelastic strain sensing. Lab Chip 2015, 15, 1376–1384. [Google Scholar] [CrossRef]
  64. Cooper, C.B.; Arutselvan, K.; Liu, Y.; Armstrong, D.; Lin, Y.; Khan, M.R.; Genzer, J.; Dickey, M.D. Stretchable Capacitive Sensors of Torsion, Strain, and Touch Using Double Helix Liquid Metal Fibers. Adv. Funct. Mater. 2017, 27, 1605630. [Google Scholar] [CrossRef]
  65. Jin, Y.; Lin, Y.; Kiani, A.; Joshipura, I.D.; Ge, M.; Dickey, M.D. Materials tactile logic via innervated soft thermochromic elastomers. Nat. Commun. 2019, 10, 4187. [Google Scholar] [CrossRef] [Green Version]
  66. Liu, F.; Yu, Y.; Yi, L.; Liu, J. Liquid metal as reconnection agent for peripheral nerve injury. Sci. Bull. 2016, 61, 939–947. [Google Scholar] [CrossRef] [Green Version]
  67. Yi, L.; Jin, C.; Wang, L.; Liu, J. Liquid-solid phase transition alloy as reversible and rapid molding bone cement. Biomaterials 2014, 35, 9789–9801. [Google Scholar] [CrossRef] [Green Version]
  68. Lu, Y.; Hu, Q.; Lin, Y.; Pacardo, D.B.; Wang, C.; Sun, W.; Ligler, F.S.; Dickey, M.D.; Gu, Z. Transformable liquid-metal nanomedicine. Nat. Commun. 2015, 6, 10066. [Google Scholar] [CrossRef] [PubMed]
  69. Trung, T.Q.; Lee, N.-E. Flexible and Stretchable Physical Sensor Integrated Platforms for Wearable Human-Activity Monitoringand Personal Healthcare. Adv. Mater. 2016, 28, 4338–4372. [Google Scholar] [CrossRef]
  70. Dinh, T.; Nguyen, T.; Phan, H.-P.; Nguyen, T.-K.; Dau, V.T.; Nguyen, N.-T.; Dao, D.V. Advances in Rational Design and Materials of High-Performance Stretchable Electromechanical Sensors. Small 2020, 16, 1905707. [Google Scholar] [CrossRef] [PubMed]
  71. Yeo, J.C.; Yu, J.; Koh, Z.M.; Wang, Z.; Lim, C.T. Wearable tactile sensor based on flexible microfluidics. Lab Chip 2016, 16, 3244–3250. [Google Scholar] [CrossRef] [Green Version]
  72. Liu, H.; Li, M.; Ouyang, C.; Lu, T.J.; Li, F.; Xu, F. Biofriendly, Stretchable, and Reusable Hydrogel Electronics as Wearable Force Sensors. Small 2018, 14, 1801711. [Google Scholar] [CrossRef]
  73. Yeo, J.C.; Kenry; Yu, J.; Loh, K.P.; Wang, Z.; Lim, C.T. Triple-State Liquid-Based Microfluidic Tactile Sensor with High Flexibility, Durability, and Sensitivity. ACS Sens. 2016, 1, 543–551. [Google Scholar] [CrossRef]
  74. Gao, Y.; Ota, H.; Schaler, E.W.; Chen, K.; Zhao, A.; Gao, W.; Fahad, H.M.; Leng, Y.; Zheng, A.; Xiong, F.; et al. Wearable Microfluidic Diaphragm Pressure Sensor for Health and Tactile Touch Monitoring. Adv. Mater. 2017, 29, 1701985. [Google Scholar] [CrossRef]
  75. Yang, J.; Tang, D.; Ao, J.; Ghosh, T.; Neumann, T.V.; Zhang, D.; Piskarev, E.; Yu, T.; Truong, V.K.; Xie, K.; et al. Ultrasoft Liquid Metal Elastomer Foams with Positive and Negative Piezopermittivity for Tactile Sensing. Adv. Funct. Mater. 2020, 30, 2002611. [Google Scholar] [CrossRef]
  76. Zhou, X.; Zhang, R.; Li, L.; Zhang, L.; Liu, B.; Deng, Z.; Wang, L.; Gui, L. A liquid metal based capacitive soft pressure microsensor. Lab Chip 2019, 19, 807–814. [Google Scholar] [CrossRef]
  77. Zhang, L.; Gao, M.; Wang, R.; Deng, Z.; Gui, L. Stretchable Pressure Sensor with Leakage-Free Liquid-Metal Electrodes. Sensors 2019, 19, 1316. [Google Scholar] [CrossRef] [Green Version]
  78. Park, Y.; Chen, B.; Wood, R.J. Design and Fabrication of Soft Artificial Skin Using Embedded Microchannels and Liquid Conductors. IEEE Sens. J. 2012, 12, 2711–2718. [Google Scholar] [CrossRef]
  79. Yoon, Y.; Kim, S.; Kim, D.; Kauh, S.K.; Lee, J. Four Degrees-of-Freedom Direct Writing of Liquid Metal Patterns on Uneven Surfaces. Adv. Mater. Technol. 2019, 4, 1800379. [Google Scholar] [CrossRef]
  80. Guo, R.; Wang, X.; Yu, W.; Tang, J.; Liu, J. A highly conductive and stretchable wearable liquid metal electronic skin for long-term conformable health monitoring. Sci. China Technol. Sci. 2018, 61, 1031–1037. [Google Scholar] [CrossRef]
  81. Ohalloran, A.; Omalley, F.; Mchugh, P.E. A review on dielectric elastomer actuators, technology, applications, and challenges. J. Appl. Phys. 2008, 104, 071101. [Google Scholar] [CrossRef]
  82. Bae, S.; Kim, H.; Lee, Y.; Xu, X.; Park, J.; Zheng, Y.; Balakrishnan, J.; Lei, T.; Kim, H.R.; Song, Y.I. Roll-to-roll production of 30-inch graphene films for transparent electrodes. Nat. Nanotechnol. 2010, 5, 574–578. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Yuan, W.; Hu, L.; Yu, Z.; Lam, T.; Biggs, J.; Ha, S.M.; Xi, D.; Chen, B.; Senesky, M.K.; Gruner, G. Fault-Tolerant Dielectric Elastomer Actuators using Single-Walled Carbon Nanotube Electrodes. Adv. Mater. 2008, 20, 621–625. [Google Scholar] [CrossRef]
  84. Hyun, D.C.; Park, M.; Park, C.; Kim, B.; Xia, Y.; Hur, J.; Kim, J.M.; Park, J.; Jeong, U. Ordered Zigzag Stripes of Polymer Gel/Metal Nanoparticle Composites for Highly Stretchable Conductive Electrodes. Adv. Mater. 2011, 23, 2946–2950. [Google Scholar] [CrossRef]
  85. Arora, S.; Ghosh, T.K.; Muth, J.F. Dielectric elastomer based prototype fiber actuators. Sens. Actuators A Phys. 2007, 136, 321–328. [Google Scholar] [CrossRef]
  86. Liu, Y.; Gao, M.; Mei, S.; Han, Y.; Liu, J. Ultra-compliant liquid metal electrodes with in-plane self-healing capability for dielectric elastomer actuators. Appl. Phys. Lett. 2013, 103, 064101. [Google Scholar] [CrossRef]
  87. Park, Y.; Tepayotlramirez, D.; Wood, R.J.; Majidi, C. Influence of cross-sectional geometry on the sensitivity and hysteresis of liquid-phase electronic pressure sensors. Appl. Phys. Lett. 2012, 101, 191904. [Google Scholar] [CrossRef] [Green Version]
  88. King, J.P.; Valle, L.E.; Pol, N.; Park, Y. In Design, modeling, and control of pneumatic artificial muscles with integrated soft sensing. In Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA), Singapore, 29 May–3 June 2017; pp. 4985–4990. [Google Scholar]
  89. Park, Y.; Wood, R.J. Smart pneumatic artificial muscle actuator with embedded microfluidic sensing. In Proceedings of the 2013 IEEE SENSORS, Baltimore, MD, USA, 3–6 November 2013. [Google Scholar]
  90. Wirekoh, J.; Valle, L.; Pol, N.; Park, Y.-L. Sensorized, Flat, Pneumatic Artificial Muscle Embedded with Biomimetic Microfluidic Sensors for Proprioceptive Feedback. Soft Robot. 2019, 6, 768–777. [Google Scholar] [CrossRef] [Green Version]
  91. Overvelde, J.T.B.; Mengüç, Y.; Polygerinos, P.; Wang, Y.; Wang, Z.; Walsh, C.J.; Wood, R.J.; Bertoldi, K. Mechanical and electrical numerical analysis of soft liquid-embedded deformation sensors analysis. Extrem. Mech. Lett. 2014, 1, 42–46. [Google Scholar] [CrossRef]
  92. Vogt, D.M.; Park, Y.; Wood, R.J. Design and Characterization of a Soft Multi-Axis Force Sensor Using Embedded Microfluidic Channels. IEEE Sens. J. 2013, 13, 4056–4064. [Google Scholar] [CrossRef] [Green Version]
  93. Kim, S.; Lee, J.; Choi, B. Stretching and Twisting Sensing with Liquid-Metal Strain Gauges Printed on Silicone Elastomers. IEEE Sens. J. 2015, 15, 6077–6078. [Google Scholar] [CrossRef]
  94. Gao, Q.; Li, H.; Zhang, J.; Xie, Z.; Zhang, J.; Wang, L. Microchannel Structural Design for a Room-Temperature Liquid Metal Based Super-stretchable Sensor. Sci. Rep. 2019, 9, 1–8. [Google Scholar] [CrossRef] [Green Version]
  95. Zhou, Y.; Wu, Y.; Asghar, W.; Ding, J.; Su, X.; Li, S.; Li, F.; Yu, Z.; Shang, J.; Liu, Y.; et al. Asymmetric Structure Based Flexible Strain Sensor for Simultaneous Detection of Various Human Joint Motions. ACS Appl. Electron. Mater. 2019, 1, 1866–1872. [Google Scholar] [CrossRef]
  96. Tang, L.; Cheng, S.; Zhang, L.; Mi, H.; Mou, L.; Yang, S.; Huang, Z.; Shi, X.; Jiang, X. Printable Metal-Polymer Conductors for Highly Stretchable Bio-Devices. iScience 2018, 4, 302–311. [Google Scholar] [CrossRef]
  97. Lou, Y.; Liu, H.; Zhang, J. Liquid metals in plastics for super-toughness and high-performance force sensors. Chem. Eng. J. 2020, 399, 125732. [Google Scholar] [CrossRef]
  98. Xu, J.; Wang, Z.; You, J.; Li, X.; Li, M.; Wu, X.; Li, C. Polymerization of moldable self-healing hydrogel with liquid metal nanodroplets for flexible strain-sensing devices. Chem. Eng. J. 2020, 392, 123788. [Google Scholar] [CrossRef]
  99. Fleischer, M.; Giber, J.; Meixner, H. H2-induced changes in electrical conductance of β-Ga2O3 thin-film systems. Appl. Phys. A 1992, 54, 560–566. [Google Scholar] [CrossRef]
  100. Schwebel, T.; Fleischer, M.; Meixner, H.; Kohl, C.D. CO-Sensor for domestic use based on high temperature stable Ga2O3 thin films. Sens. Actuators B Chem. 1998, 49, 46–51. [Google Scholar] [CrossRef]
  101. Wei, Z.; Akbari, M.K.; Hai, Z.; Ramachandran, R.K.; Detavernier, C.; Verpoort, F.; Kats, E.; Xu, H.; Hu, J.; Zhuiykov, S. Ultra-thin sub-10 nm Ga2O3-WO3 heterostructures developed by atomic layer deposition for sensitive and selective C2H5OH detection on ppm level. Sens. Actuators B Chem. 2019, 287, 147–156. [Google Scholar] [CrossRef]
  102. Shafiei, M.; Hoshyargar, F.; Motta, N.; O’Mullane, A.P. Utilizing p-type native oxide on liquid metal microdroplets for low temperature gas sensing. Mater. Des. 2017, 122, 288–295. [Google Scholar] [CrossRef] [Green Version]
  103. Wang, Q.; Gao, M.; Zhang, L.; Deng, Z.; Gui, L. A Handy Flexible Micro-Thermocouple Using Low-Melting-Point Metal Alloys. Sensors 2019, 19, 314. [Google Scholar] [CrossRef] [Green Version]
  104. Yan, C.; Wang, J.; Lee, P.S. Stretchable Graphene Thermistor with Tunable Thermal Index. ACS Nano 2015, 9, 2130–2137. [Google Scholar] [CrossRef]
  105. Yamamoto, Y.; Harada, S.; Yamamoto, D.; Honda, W.; Arie, T.; Akita, S.; Takei, K. Printed multifunctional flexible device with an integrated motion sensor for health care monitoring. Sci. Adv. 2016, 2, e1601473. [Google Scholar] [CrossRef] [Green Version]
  106. Hong, S.Y.; Lee, Y.H.; Park, H.; Jin, S.W.; Jeong, Y.R.; Yun, J.; You, I.; Zi, G.; Ha, J.S. Stretchable Active Matrix Temperature Sensor Array of Polyaniline Nanofibers for Electronic Skin. Adv. Mater. 2016, 28, 930–935. [Google Scholar] [CrossRef]
  107. Wu, P.C.; Kim, T.; Brown, A.S.; Losurdo, M.; Bruno, G.; Everitt, H.O. Real-time plasmon resonance tuning of liquid Ga nanoparticles by in situ spectroscopic ellipsometry. Appl. Phys. Lett. 2007, 90, 103119. [Google Scholar] [CrossRef]
  108. Mcmahon, J.M.; Schatz, G.C.; Gray, S.K. Plasmonics in the ultraviolet with the poor metals Al, Ga, In, Sn, Tl, Pb, and Bi. Phys. Chem. Chem. Phys. 2013, 15, 5415–5423. [Google Scholar] [CrossRef]
  109. Reineck, P.; Lin, Y.; Gibson, B.C.; Dickey, M.D.; Greentree, A.D.; Maksymov, I.S. UV plasmonic properties of colloidal liquid-metal eutectic gallium-indium alloy nanoparticles. Sci. Rep. 2019, 9, 5345. [Google Scholar] [CrossRef] [Green Version]
  110. Maksymov, I.S.; Greentree, A.D. Dynamically reconfigurable plasmon resonances enabled by capillary oscillations of liquid-metal nanodroplets. Phys. Rev. A 2017, 96, 043829. [Google Scholar] [CrossRef] [Green Version]
  111. Lear, T.R.; Hyun, S.; Boley, J.W.; White, E.L.; Thompson, D.H.; Kramer, R.K. Liquid metal particle popping: Macroscale to nanoscale. Extrem. Mech. Lett. 2017, 13, 126–134. [Google Scholar] [CrossRef] [Green Version]
  112. Yu, Z.; Chen, Y.; Yun, F.F.; Cortie, D.L.; Jiang, L.; Wang, X. Discovery of a Voltage-Stimulated Heartbeat Effect in Droplets of Liquid Gallium. Phys. Rev. Lett. 2018, 121, 024302. [Google Scholar] [CrossRef] [Green Version]
  113. Lin, P.; Wei, Z.; Yan, Q.; Xie, J.; Fan, Y.; Wu, M.; Chen, Y.; Cheng, Z. Capillary-Based Microfluidic Fabrication of Liquid Metal Microspheres toward Functional Microelectrodes and Photothermal Medium. ACS Appl. Mater. Interfaces 2019, 11, 25295–25305. [Google Scholar] [CrossRef]
  114. Yun, J.; Lim, Y.; Lee, H.; Lee, G.; Park, H.; Hong, S.Y.; Jin, S.W.; Lee, Y.H.; Lee, S.-S.; Ha, J.S. A Patterned Graphene/ZnO UV Sensor Driven by Integrated Asymmetric Micro-Supercapacitors on a Liquid Metal Patterned Foldable Paper. Adv. Funct. Mater. 2017, 27, 1700135. [Google Scholar] [CrossRef]
  115. Qusba, A.; Ramrakhyani, A.K.; So, J.; Hayes, G.J.; Dickey, M.D.; Lazzi, G. On the Design of Microfluidic Implant Coil for Flexible Telemetry System. IEEE Sens. J. 2014, 14, 1074–1080. [Google Scholar] [CrossRef]
  116. Zhao, Z.; Lin, J.; Zhang, J.; Yu, Y.; Yuan, B.; Fan, C.; Wang, L.; Liu, J. Liquid Metal Enabled Flexible Electronic System for Eye Movement Tracking. IEEE Sens. J. 2018, 18, 2592–2598. [Google Scholar] [CrossRef]
  117. Zhang, J.; Sheng, L.; Jin, C.; Liu, J. Liquid Metal as Connecting or Functional Recovery Channel for the Transected Sciatic Nerve. arXiv 2014, arXiv:1404.5931. [Google Scholar]
  118. Liu, J.; Yi, L. Liquid Metal Biomaterials; Springer: Singapore, 2018; Volume 10, pp. 417–428. [Google Scholar]
  119. Wang, Y.; Zhu, C.; Pfattner, R.; Yan, H.; Jin, L.; Chen, S.; Molinalopez, F.; Lissel, F.; Liu, J.; Rabiah, N.I. A highly stretchable, transparent, and conductive polymer. Sci. Adv. 2017, 3, e1602076. [Google Scholar] [CrossRef] [Green Version]
  120. Guo, R.; Liu, J. Implantable liquid metal-based flexible neural microelectrode array and its application in recovering animal locomotion functions. J. Micromech. Microeng. 2017, 27, 104002. [Google Scholar] [CrossRef]
  121. Jin, C.; Zhang, J.; Li, X.; Yang, X.; Li, J.; Liu, J. Injectable 3-D Fabrication of Medical Electronics at the Target Biological Tissues. Sci. Rep. 2013, 3, 3442. [Google Scholar] [CrossRef] [Green Version]
  122. Kumar, N.; Wirekoh, J.; Saba, S.; Riviere, C.N.; Park, Y.-L. Soft Miniaturized Actuation and Sensing Units for Dynamic Force Control of Cardiac Ablation Catheters. Soft Robot. 2020. ahead of print. [Google Scholar] [CrossRef]
  123. Niiyama, R.; Sun, X.; Sung, C.; An, B.; Rus, D.; Kim, S. Pouch Motors: Printable Soft Actuators Integrated with Computational Design. Soft Robot. 2015, 2, 59–70. [Google Scholar] [CrossRef]
  124. Zhu, P.; Gao, S.; Lin, H.; Lu, X.; Yang, B.; Zhang, L.; Chen, Y.; Shi, J. Inorganic Nanoshell-Stabilized Liquid Metal for Targeted Photonanomedicine in NIR-II Biowindow. Nano Lett. 2019, 19, 2128–2137. [Google Scholar] [CrossRef]
  125. Ren, Y.; Wang, X.; Liu, J. Fabrication of High-Resolution Flexible Circuits and Sensors Based on Liquid Metal Inks by Spraying and Wiping Processing. IEEE Trans. Biomed. Circuits Syst. 2019, 13, 1545–1551. [Google Scholar] [CrossRef]
  126. Wang, Q.; Yu, Y.; Pan, K.; Liu, J. Liquid Metal Angiography for Mega Contrast X-Ray Visualization of Vascular Network in Reconstructing In-Vitro Organ Anatomy. IEEE Trans. Biomed. Eng. 2014, 61, 2161–2166. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  127. Sun, X.; Yuan, B.; Rao, W.; Liu, J. Amorphous liquid metal electrodes enabled conformable electrochemical therapy of tumors. Biomaterials 2017, 146, 156–167. [Google Scholar] [CrossRef]
  128. Lin, Y.; Genzer, J.; Dickey, M.D. Attributes, Fabrication, and Applications of Gallium-Based Liquid Metal Particles. Adv. Sci. (Weinh) 2020, 7, 2000192. [Google Scholar] [CrossRef] [Green Version]
  129. Wang, Y.; Wang, S.; Chang, H.; Rao, W. Galvanic Replacement of Liquid Metal/Reduced Graphene Oxide Frameworks. Adv. Mater. Interfaces 2020, 7, 2000626. [Google Scholar] [CrossRef]
  130. Tutika, R.; Kmiec, S.; Haque, A.B.M.T.; Martin, S.W.; Bartlett, M.D. Liquid Metal–Elastomer Soft Composites with Independently Controllable and Highly Tunable Droplet Size and Volume Loading. ACS Appl. Mater. Interfaces 2019, 11, 17873–17883. [Google Scholar] [CrossRef] [Green Version]
  131. Ren, Y.; Liu, J. Liquid-Metal Enabled Droplet Circuits. Micromachines 2018, 9, 218. [Google Scholar] [CrossRef] [Green Version]
  132. Varga, M.; Ladd, C.; Ma, S.; Holbery, J.; Troster, G. On-skin liquid metal inertial sensor. Lab Chip 2017, 17, 3272–3278. [Google Scholar] [CrossRef] [PubMed]
  133. Wissman, J.; Dickey, M.D.; Majidi, C. Field-Controlled Electrical Switch with Liquid Metal. Adv. Sci. 2017, 4, 1700169. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Liquid metal morphology and its control methods. (a) The morphology of liquid metal droplets with and without oxide. Reprinted with permission from [26]. Copyright (2013) American Chemical Society. (b) The dispersion and merge of liquid metal [27]. Red circle A and B shows the liquid metal droplets about to reunite. Copyright (2015) WILEY-VCH. (c) The transformation of liquid metal droplets on graphite with a different shape in an electrolyte [30]. Copyright (2015) WILEY-VCH. (d) Different shapes of oxide-rich liquid metal [36]. Copyright (2020) WILEY-VCH.
Figure 1. Liquid metal morphology and its control methods. (a) The morphology of liquid metal droplets with and without oxide. Reprinted with permission from [26]. Copyright (2013) American Chemical Society. (b) The dispersion and merge of liquid metal [27]. Red circle A and B shows the liquid metal droplets about to reunite. Copyright (2015) WILEY-VCH. (c) The transformation of liquid metal droplets on graphite with a different shape in an electrolyte [30]. Copyright (2015) WILEY-VCH. (d) Different shapes of oxide-rich liquid metal [36]. Copyright (2020) WILEY-VCH.
Biosensors 10 00170 g001
Figure 2. Oxidation of liquid metal. (a) TEM image to show the surface structure of GaInSn nanoparticles consisted of the gallium oxide layer and liquid metal core [40]. Copyright (2016) WILEY-VCH. (b) SEM images of liquid metal particles prepared by the ultrasonication method in DMSO. XRD patterns of different samples prepared in DMSO (the middle) and water (the right) [22]. Copyright (2016) American Chemical Society. (c) The conductivity of the mixture of Ni particles and EGaIn (the left) and the adhesion force (the left-right) [44]. Copyright (2018) WILEY-VCH. (d) The mixture of Ni particles and EGaIn was painted on various substrates [35]. Copyright (2018) Elsevier. (e) SEM to reveal the process of the oxide assisted wetting [45]. Copyright (2019) WILEY-VCH.
Figure 2. Oxidation of liquid metal. (a) TEM image to show the surface structure of GaInSn nanoparticles consisted of the gallium oxide layer and liquid metal core [40]. Copyright (2016) WILEY-VCH. (b) SEM images of liquid metal particles prepared by the ultrasonication method in DMSO. XRD patterns of different samples prepared in DMSO (the middle) and water (the right) [22]. Copyright (2016) American Chemical Society. (c) The conductivity of the mixture of Ni particles and EGaIn (the left) and the adhesion force (the left-right) [44]. Copyright (2018) WILEY-VCH. (d) The mixture of Ni particles and EGaIn was painted on various substrates [35]. Copyright (2018) Elsevier. (e) SEM to reveal the process of the oxide assisted wetting [45]. Copyright (2019) WILEY-VCH.
Biosensors 10 00170 g002
Figure 3. Electrical properties of liquid metal and its composite. (a) The enhanced electrical conductivity of liquid metal (LM) by mixing Cu particles [47]. Copyright (2017) American Chemical Society. (b) The process of autonomic conductivity restoration of a circuit containing liquid metal particles [49]. Copyright (2012) WILEY-VCH. (c) The relationship between resistance and strain [53]. Copyright (2013) WILEY-VCH. (d) Electrical conductivity as a function of the strain of the composites [55]. Copyright (2020) WILEY-VCH. (e) The resistance-strain curve of the liquid metal-filled magnetorheological elastomer. Stretching and compression all enhance conductivity [56]. Copyright 2019, Springer Nature. (f) The liquid metal composites enhanced electrical anisotropy under deformation [57]. Copyright (2020) American Chemical Society. (g) The liquid metal-based composite becomes conductive after freezing and recovers to electrical insulative again after warming. (h) Resistance change between electrical insulative and conductive for 100 cycles under the temperature regulation [59]. Copyright (2019) WILEY-VCH. (i) The conductive and insulating regions based on the melting points of the liquid metal droplets dispersed in dimethicone [61]. Copyright (2019) American Chemical Society.
Figure 3. Electrical properties of liquid metal and its composite. (a) The enhanced electrical conductivity of liquid metal (LM) by mixing Cu particles [47]. Copyright (2017) American Chemical Society. (b) The process of autonomic conductivity restoration of a circuit containing liquid metal particles [49]. Copyright (2012) WILEY-VCH. (c) The relationship between resistance and strain [53]. Copyright (2013) WILEY-VCH. (d) Electrical conductivity as a function of the strain of the composites [55]. Copyright (2020) WILEY-VCH. (e) The resistance-strain curve of the liquid metal-filled magnetorheological elastomer. Stretching and compression all enhance conductivity [56]. Copyright 2019, Springer Nature. (f) The liquid metal composites enhanced electrical anisotropy under deformation [57]. Copyright (2020) American Chemical Society. (g) The liquid metal-based composite becomes conductive after freezing and recovers to electrical insulative again after warming. (h) Resistance change between electrical insulative and conductive for 100 cycles under the temperature regulation [59]. Copyright (2019) WILEY-VCH. (i) The conductive and insulating regions based on the melting points of the liquid metal droplets dispersed in dimethicone [61]. Copyright (2019) American Chemical Society.
Biosensors 10 00170 g003
Figure 4. Applications of biosensors based on liquid metal.
Figure 4. Applications of biosensors based on liquid metal.
Biosensors 10 00170 g004
Figure 5. Liquid metal–based pressure and tactile sensors. (a) Schematic diagram of a liquid metal resistive pressure sensor [71]. Permission from The Royal Society of Chemistry (RSC) under a Creative Commons Attribution-Noncommercial 3.0 Unported Licence. (b) The optical picture and sensing performance of the 3D helical LM circuit/hydrogel matrix sensor [72]. Copyright (2018) WILEY-VCH. (c) The pressure sensor consisting of Ecoflex and EGaIn. The characteristic electrical responses of the tactile sensor when subjected to dynamic loading and unloading cycles of barefoot stepping [73]. Copyright (2016) American Chemical Society. (d) Microfluidic tactile diaphragm pressure sensor with liquid metal Wheatstone bridge circuit. (e) The real-time response was recorded from sensing the process of grasping a grape [74]. Copyright (2017) WILEY-VCH. (f) Effect of the microbump on pressure sensitivity. (g) Blood pressure monitoring system using the pressure sensor consisting of microbump [23]. Copyright (2019) WILEY-VCH. (h) The tactile sensor array is based on liquid metal elastomer foam and its capacitance change ratio [75]. Copyright (2020) WILEY-VCH.
Figure 5. Liquid metal–based pressure and tactile sensors. (a) Schematic diagram of a liquid metal resistive pressure sensor [71]. Permission from The Royal Society of Chemistry (RSC) under a Creative Commons Attribution-Noncommercial 3.0 Unported Licence. (b) The optical picture and sensing performance of the 3D helical LM circuit/hydrogel matrix sensor [72]. Copyright (2018) WILEY-VCH. (c) The pressure sensor consisting of Ecoflex and EGaIn. The characteristic electrical responses of the tactile sensor when subjected to dynamic loading and unloading cycles of barefoot stepping [73]. Copyright (2016) American Chemical Society. (d) Microfluidic tactile diaphragm pressure sensor with liquid metal Wheatstone bridge circuit. (e) The real-time response was recorded from sensing the process of grasping a grape [74]. Copyright (2017) WILEY-VCH. (f) Effect of the microbump on pressure sensitivity. (g) Blood pressure monitoring system using the pressure sensor consisting of microbump [23]. Copyright (2019) WILEY-VCH. (h) The tactile sensor array is based on liquid metal elastomer foam and its capacitance change ratio [75]. Copyright (2020) WILEY-VCH.
Biosensors 10 00170 g005
Figure 6. Typical models of artificial muscle and its sensor characteristics. (a) Schematic comparison of sFPAM (sensorized, flat, pneumatic artificial muscle) with biological muscle. (b) Illustration of the completed actuator at rest with labels designating key components. (c) Exploded view provides a clear visualization of the contraction and pressure sensors. (d) Force–contraction relationship at pressures ranging from 0 to 90 kPa. (e) The resistive response of force and contractile sensors due to contraction and (f) force [90]. Copyright (2019) Jackson Wirekoh et al., Published by Mary Ann Liebert, Inc.
Figure 6. Typical models of artificial muscle and its sensor characteristics. (a) Schematic comparison of sFPAM (sensorized, flat, pneumatic artificial muscle) with biological muscle. (b) Illustration of the completed actuator at rest with labels designating key components. (c) Exploded view provides a clear visualization of the contraction and pressure sensors. (d) Force–contraction relationship at pressures ranging from 0 to 90 kPa. (e) The resistive response of force and contractile sensors due to contraction and (f) force [90]. Copyright (2019) Jackson Wirekoh et al., Published by Mary Ann Liebert, Inc.
Biosensors 10 00170 g006
Figure 7. Liquid metal-based strain sensors. (a,b) Finger motion detection using strain sensors and its corresponding resistance change [95]. Copyright (2019) American Chemical Society. (c) Motion monitoring of five fingers with slow bending and straightening. (d) Use wearable gloves for typing “HELLO WORLD” [96]. Copyright (2018) the author(s). (e) A highly flexible strain sensor monitors knee motion [62]. Copyright (2013) Royal Society of Chemistry. (f) Real-time monitoring of necks motions by strain sensor consisting of liquid metal micro particles [95]. Copyright (2019) American Chemical Society. (g) Unusual resistance changes of the strain sensors under cyclic bending [56]. Copyright (2019) Springer Nature.
Figure 7. Liquid metal-based strain sensors. (a,b) Finger motion detection using strain sensors and its corresponding resistance change [95]. Copyright (2019) American Chemical Society. (c) Motion monitoring of five fingers with slow bending and straightening. (d) Use wearable gloves for typing “HELLO WORLD” [96]. Copyright (2018) the author(s). (e) A highly flexible strain sensor monitors knee motion [62]. Copyright (2013) Royal Society of Chemistry. (f) Real-time monitoring of necks motions by strain sensor consisting of liquid metal micro particles [95]. Copyright (2019) American Chemical Society. (g) Unusual resistance changes of the strain sensors under cyclic bending [56]. Copyright (2019) Springer Nature.
Biosensors 10 00170 g007
Figure 8. Liquid metal-based gas sensors. (a) The response of the sensors to NO2 gas. (b) The response of the sensors to H2 gas [22]. Copyright (2020) American Chemical Society. (c) The optical image of WO3-Ga2O3 sensors. (d) The resistance change of WO3-Ga2O3 sensors at 100 ppm ethanol under the different working temperatures [101]. Copyright (2019) Elsevier B.V. All rights reserved. (e) Schematic diagram of low-temperature gas sensing. (f) The response of low-temperature gas sensing to NO2 and NH3 [102]. Copyright (2017) Elsevier Ltd.
Figure 8. Liquid metal-based gas sensors. (a) The response of the sensors to NO2 gas. (b) The response of the sensors to H2 gas [22]. Copyright (2020) American Chemical Society. (c) The optical image of WO3-Ga2O3 sensors. (d) The resistance change of WO3-Ga2O3 sensors at 100 ppm ethanol under the different working temperatures [101]. Copyright (2019) Elsevier B.V. All rights reserved. (e) Schematic diagram of low-temperature gas sensing. (f) The response of low-temperature gas sensing to NO2 and NH3 [102]. Copyright (2017) Elsevier Ltd.
Biosensors 10 00170 g008
Figure 9. Liquid metal temperature sensors. (a) The top is the Ga based thermocouple written on the paper. The bottom is the measured thermoelectric voltage as a function of temperature difference [3]. Rights managed by AIP Publishing. (b) Schematic of micro-thermocouple; One channel was filled with EGaInSn, and the other was filled with a low-melting-point Bi-based metal alloy mixture. The bottom shows the relationship between supply power and temperature [103]. Copyright (2019) by the authors. (c) Schematic of the stretchable temperature sensor array consisting of the liquid metal circuit. The resistance change of the sensor at a different temperature under a biaxial strain of up to 30% [106]. Copyright (2016) WILEY-VCH. (d) Schematic of the color displayed sensor consisting of a liquid metal circuit between two layers of PDMS. Joule heating changes the color of the pigment in the PDMS. (e) The sensor with blue and red pigments that alter color in response to heat [65]. Copyright (2019) Springer Nature.
Figure 9. Liquid metal temperature sensors. (a) The top is the Ga based thermocouple written on the paper. The bottom is the measured thermoelectric voltage as a function of temperature difference [3]. Rights managed by AIP Publishing. (b) Schematic of micro-thermocouple; One channel was filled with EGaInSn, and the other was filled with a low-melting-point Bi-based metal alloy mixture. The bottom shows the relationship between supply power and temperature [103]. Copyright (2019) by the authors. (c) Schematic of the stretchable temperature sensor array consisting of the liquid metal circuit. The resistance change of the sensor at a different temperature under a biaxial strain of up to 30% [106]. Copyright (2016) WILEY-VCH. (d) Schematic of the color displayed sensor consisting of a liquid metal circuit between two layers of PDMS. Joule heating changes the color of the pigment in the PDMS. (e) The sensor with blue and red pigments that alter color in response to heat [65]. Copyright (2019) Springer Nature.
Biosensors 10 00170 g009
Figure 10. Liquid metal–based optical sensors. (a) Schematic illustration of experimental setups for the excitation of capillary oscillation of nanodroplets with ultrasound (top) and AC voltage (bottom) [110]. Copyright (2017) American Physical Society. (b) LM microspheres are used as a free-standing photothermal medium [113]. Copyright (2019) American Chemical Society. (c) Schematic illustration of a foldable AMSCs array with a UV sensor on a single liquid metal patterned paper substrate [114]. Copyright (2017) WILEY-VCH. (d). The geometric model of a 2-D liquid metal induction coil: Helmholtz Coil system with the induction coil inside [116]. Copyright (2018) by the authors.
Figure 10. Liquid metal–based optical sensors. (a) Schematic illustration of experimental setups for the excitation of capillary oscillation of nanodroplets with ultrasound (top) and AC voltage (bottom) [110]. Copyright (2017) American Physical Society. (b) LM microspheres are used as a free-standing photothermal medium [113]. Copyright (2019) American Chemical Society. (c) Schematic illustration of a foldable AMSCs array with a UV sensor on a single liquid metal patterned paper substrate [114]. Copyright (2017) WILEY-VCH. (d). The geometric model of a 2-D liquid metal induction coil: Helmholtz Coil system with the induction coil inside [116]. Copyright (2018) by the authors.
Biosensors 10 00170 g010
Figure 11. Applications in nerve connection. (a) The impedance curve of the GaInSn. Copyright (2014) by the authors [117]. (b) The impedance of gallium for signals with different frequencies [66]. Copyright (2016) Science China Press. Published by Elsevier B.V. (c) The schematic diagram of the transected sciatic nerve reconnected by liquid metal and Riger’s Solution, respectively [117]. Copyright (2014) by the authors. (d). The liquid metal nerve electrodes and the machining process [120]. Copyright (2017) by the authors.
Figure 11. Applications in nerve connection. (a) The impedance curve of the GaInSn. Copyright (2014) by the authors [117]. (b) The impedance of gallium for signals with different frequencies [66]. Copyright (2016) Science China Press. Published by Elsevier B.V. (c) The schematic diagram of the transected sciatic nerve reconnected by liquid metal and Riger’s Solution, respectively [117]. Copyright (2014) by the authors. (d). The liquid metal nerve electrodes and the machining process [120]. Copyright (2017) by the authors.
Biosensors 10 00170 g011
Figure 12. Implantable medical devices. (a) Alternative strategies for making implantable bio-electrode through directly injecting liquid metal and allied packaging material inside a pipette tip; (b) Schematics of in vivo experiment for measuring the mouse ECG signal using the injected electrode. (c) The recorded ECG signals of experimental mouse undergoing a 10 Hz electrical stimulation with different voltages [121]. Copyright (2019) Springer Nature. (d) Conceptual design of a cardiac ablation catheter integrated with soft actuation and sensing unit for dynamic force control. (e) The soft sensor response to sinusoidal input for dynamic characterization at 0.2 Hz and 1.5 Hz [122]. Copyright (2019) by the authors.
Figure 12. Implantable medical devices. (a) Alternative strategies for making implantable bio-electrode through directly injecting liquid metal and allied packaging material inside a pipette tip; (b) Schematics of in vivo experiment for measuring the mouse ECG signal using the injected electrode. (c) The recorded ECG signals of experimental mouse undergoing a 10 Hz electrical stimulation with different voltages [121]. Copyright (2019) Springer Nature. (d) Conceptual design of a cardiac ablation catheter integrated with soft actuation and sensing unit for dynamic force control. (e) The soft sensor response to sinusoidal input for dynamic characterization at 0.2 Hz and 1.5 Hz [122]. Copyright (2019) by the authors.
Biosensors 10 00170 g012
Table 1. Summary of mechanical sensor based on liquid metal.
Table 1. Summary of mechanical sensor based on liquid metal.
TypesDescriptionFabrication MethodSensitivityPerformanceApplicationRef
Pressure sensors3D LM microfluidic channels incorporated inside the hydrogel matrix3D casting molding; LM injection1, 10, and 100 kPaHigh modulus of the hydrogel; Poor sensitivityBody-worn motion detector[72]
2D LM circuit: liquid-based thin PET film microfluidic tactile sensorLithography; LM injection0.05 kPa–1Range of 4 to 100 kPaWearable pressure sensor for real-time object grasping monitoring[71]
Triple-state liquid-based PET film microfluidic tactile sensorLithography; LM injection(2–20) × 10–3 kPa–1Range of 2 to 400 kPaSevere mechanical load[73]
Based on GaIn microchannels and embedded equivalent Wheatstone bridge circuitLithography; LM injection0.0835 kPa−1Detection limit below 100 Pa with sub-50 Pa resolutionDetect and monitor heart rate from the wrist pulse[74]
3D-printed rigid microbump-integrated liquid metal-based soft pressure sensor3D-printed; injection0.158 kPa−1Range of 0 to 80 kPa; without obvious hysteresisEpidermal pulse and wireless wearable heel pressure monitoring system[23]
Liquid metal elastomer foamCuring and dissolvingCapacitance: 0.992 pF kPa−1Negative piezopermittivity; elastic modulus 7.8 kPaTactile sensor powered wirelessly[75]
Soft pressure microsensor with LM electrodeLithography; LM injectionResolution: 7.5 mmHgPressure range of 20–300 mmHg.Measure blood pressure in vivo[76]
GaIn-BiInSn leakage-free electrodes-based sensorsLithography; LM injection0–0.45 Mpa−1Double-capacitor sensor; leakage-free electrodes-[77]
Strain sensorLM fiber sensor with hollow elastomeric capillariesInjectionΔC/L: 0 to 2.5%; Gauge factor: 0.66 to 0.82Strain at 0–100%Torsion and touch sensor[64]
LM fiber sensor with SEBS hollow fiberInjectionΔR/R: 0 to 50% (nonlinear)Strain at 0–700%Combinations of good conductivity and stretchability for conductive fibers[53]
LM fiber sensor with PDMS hollow fiberInjectionΔR/R: 0 to 100%; Gauge factor: 2.2 to 3.4Strain at 0–140%Low detection limit (0.3% strain); good repeatability[62]
Microchannel in commercially available resinStereolithography-based 3D printingΔR/R: −2.5 to 2.5%-Minimum resolution angle of 1° (70° to −70°)[95]
Surface-embedded metal in polymeric hostsCasting and peeling off stepsΔR/R: 0 to 60%(nonlinear)Strain at 0 to 500%; stress (~0.4 MPa)Repeatability (ΔR/R <3%)[96]
Hydrogel shells and LM dropletsPolymerization colloidal cross-linkerΔR/R:0 to 700%; gauge factor: 1.54Toughness (3.54 MJ/m3); fracture stress (1.26 MPa)Self-healing strain sensor[98]
Table 2. Summary of gas sensor based on liquid metal.
Table 2. Summary of gas sensor based on liquid metal.
TypeDetection GasDetection SensitivityWorking TemperatureEvaluationRef
β-Ga2O3 film with Au dispersionCO4–100 ppm>550 °CResponse in seconds (>700 °C)[99]
β-Ga2O3 film (chemisorption)H210−3 bar400–650 °CResponse in 10 s; high working temperature[100]
Monoclinic Ga2O3 crystal structure (Ga with In, Sn, and Zn)NO2 and H24.5 ppm (NO2)
1.0% (H2)
150 °C (NO2)
350 °C (H2)
Only discuss the temperature response[22]
Ga2O3-WO3 heterostructuresC2H5OH1 to 600 ppm275 °CResponse in hundred seconds; ultrathin (10 nm)[101]
β-Ga2O3 (physisorption)NO2 and NH31–12 ppm (NO2)
20–99 ppm (NH3)
100 °CPoor durability[102]
Table 3. Summary of temperature sensors based on liquid metal.
Table 3. Summary of temperature sensors based on liquid metal.
TypesFabrication MethodDetection SensitivityDetection RangeEvaluationRef
Ga and matching metal wiresDirect printing0.5 °C0 to 200 °CHigh precision; Tiny size[3]
Ga-Bi alloy micro-thermocoupleMicrofluidic injection−10.54 μV/K25 to 83 °CStable under 90° bending[103]
EGaInSn and SWCNTMultilayers assemble1.0% °C−115 to 45 °C Highly stretchable[106]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Zhang, M.; Wang, X.; Huang, Z.; Rao, W. Liquid Metal Based Flexible and Implantable Biosensors. Biosensors 2020, 10, 170. https://doi.org/10.3390/bios10110170

AMA Style

Zhang M, Wang X, Huang Z, Rao W. Liquid Metal Based Flexible and Implantable Biosensors. Biosensors. 2020; 10(11):170. https://doi.org/10.3390/bios10110170

Chicago/Turabian Style

Zhang, Mingkuan, Xiaohong Wang, Zhiping Huang, and Wei Rao. 2020. "Liquid Metal Based Flexible and Implantable Biosensors" Biosensors 10, no. 11: 170. https://doi.org/10.3390/bios10110170

APA Style

Zhang, M., Wang, X., Huang, Z., & Rao, W. (2020). Liquid Metal Based Flexible and Implantable Biosensors. Biosensors, 10(11), 170. https://doi.org/10.3390/bios10110170

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop