Next Article in Journal
In Silico Investigation of SNR and Dermis Sensitivity for Optimum Dual-Channel Near-Infrared Glucose Sensor Designs for Different Skin Colors
Next Article in Special Issue
Multifunctional Smart ZnSe-Nanostructure-Based Fluorescent Aptasensor for the Detection of Ochratoxin A
Previous Article in Journal
Dual-Color Fluorescent Hydrogel Microspheres Combined with Smartphones for Visual Detection of Lactate
Previous Article in Special Issue
A Smartphone Integrated Platform for Ratiometric Fluorescent Sensitive and Selective Determination of Dipicolinic Acid
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Enhanced Response for Foodborne Pathogens Detection by Au Nanoparticles Decorated ZnO Nanosheets Gas Sensor

1
College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
2
State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China
3
The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Analytical Chemistry and Instrument for Life Science, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
4
Henry-Fork School of Food Sciences, Shaoguan University, Shaoguan 512005, China
*
Authors to whom correspondence should be addressed.
Biosensors 2022, 12(10), 803; https://doi.org/10.3390/bios12100803
Submission received: 31 August 2022 / Revised: 20 September 2022 / Accepted: 23 September 2022 / Published: 28 September 2022

Abstract

:
Listeria monocytogenes is a hazardous foodborne pathogen that is able to cause acute meningitis, encephalitis, and sepsis to humans. The efficient detection of 3-hydroxy-2-butanone, which has been verified as a biomarker for the exhalation of Listeria monocytogenes, can feasibly evaluate whether the bacteria are contained in food. Herein, we developed an outstanding 3-hydroxy-2-butanone gas sensor based on the microelectromechanical systems using Au/ZnO NS as a sensing material. In this work, ZnO nanosheets were synthesized by a hydrothermal reaction, and Au nanoparticles (~5.5 nm) were prepared via an oleylamine reduction method. Then, an ultrasonic treatment was carried out to modified Au nanoparticles onto ZnO nanosheets. The XRD, BET, TEM, and XPS were used to characterize their morphology, microstructure, catalytic structure, specific surface area, and chemical composition. The response of the 1.0% Au/ZnO NS sensors vs. 25 ppm 3-hydroxy-2-butanone was up to 174.04 at 230 °C. Moreover, these sensors presented fast response/recovery time (6 s/7 s), great selectivity, and an outstanding limit of detection (lower than 0.5 ppm). This work is full of promise for developing a nondestructive, rapid and practical sensor, which would improve Listeria monocytogenes evaluation in foods.

Graphical Abstract

1. Introduction

Listeria monocytogenes (LM) is a foodborne pathogen that is able to cause acute meningitis, encephalitis, and sepsis. It has been found in food samples and raw materials, such as dairy products, meat products, vegetables, and seafood [1,2]. Since LM has a high mortality rate (20–30%), it is necessary to establish a rapid and accurate detection method for the bacteria in food samples and the environment [3]. At present, the detection methods applied to LM mainly include traditional physiological and biochemical measurements, molecular biological measurements targeting the virulence factors or specific genes of LM, and immunological measurements based on specific bindings of antigens and antibodies [4]. These methods generally require a long processing time, professional operators, or expensive instruments [5]. Thus, it is difficult to achieve rapid, nondestructive, and real-time in situ detection of the bacteria. According to previous studies, 3-hydroxy-2-butanone (3H-2B) is one of the characteristic microbial volatile organic compounds (MVOCs) of LM, whose abundance exceeds 32% [6]. Meanwhile, there is an excellent linear relationship between the incubation time of LM and the concentration of 3H-2B [7]. Consequently, it is feasible to realize a nondestructive and rapid evaluation of LM by detecting 3H-2B.
The metal oxide semiconductor (MOS) gas sensors realize gas detection through the conductivity changes of the MOS materials caused by chemical reactions between materials and target gases. With their advantages of portability and being economically and environmentally friendly, they have quickly become the most practical and widely-used gas sensors [8]. Since Deng et al. firstly studied 3H-2B sensors using mesoporous WO3 as sensing materials in 2017 [7], a variety of MOS materials with different morphologies has been developed and successfully applied to detect 3H-2B, such as WO3 nanoflowers [9], SnO2-Al2O3 nanocables [10], ZnO-Al2O3 nanocables [11], and NiO nano cuboids [12]. However, these materials are not all satisfactory in terms of response/recovery time, sensitivity, limit of detection (LOD), and selectivity. As one of the common n-type semiconductors, ZnO has the properties of small particles, large exciton binding energy (60 meV), a wide band gap (3.4 eV), a large specific surface area, and a small size effect [13]. Moreover, changing the physical morphology of materials is an effective way to improve their performance. For example, ZnO nanosheets (NS) are considered significant gas-sensing materials due to their simple synthesis method and excellent properties compared with the original ZnO described above [14,15].
In addition to morphology control, noble metal modification is also one of the important means to improve the sensing performance of MOS materials [16,17,18,19]. Au is a typical noble metal and is often selected as a sensitizer to modify MOS because Au is able to decrease the chemical adsorption activation energy of the measured gases and accelerate the reaction speed of the material. Moreover, it can also form Schottky contact with the MOS, so carriers are transferred from the MOS to the noble metal, which increases the Schottky barrier. At the same time, Au promotes the adsorption of O2 molecules, transfers them to the material surface to form oxygen negative ions, increases the thickness of the electron depletion layer (EDL), improves the conductivity, and finally improves the sensitivity [20,21]. For instance, Wang et al. showed that at 340 °C, Au/ZnO nanowires had a fast recovery time, greater response, better selectivity, and lower LOD for benzene and toluene than pure ZnO nanowires [22]. Therefore, it is feasible to develop a new ZnO NS gas sensor modified by Au nanoparticles (NPs) to detect 3H-2B, which is important for realizing the nondestructive and rapid assessment of LM in situ.
In this research, we synthesized ZnO NS by hydrothermal reaction, and prepared Au NPs (~5.5 nm) via the oleylamine reduction method. Then, we developed an excellent 3-hydroxy-2-butanone gas sensor based on the microelectromechanical systems (MEMs) using Au/ZnO NS as the sensing material. After working temperature tests, decoration material analysis, and load proportion optimization, the best performance of 1.0% Au/ZnO sensors were further studied. The response of these sensors vs. 25 ppm 3H-2B was up to 174.04 at 230 °C. Moreover, the sensors presented fast response/recovery time (6 s/7 s), excellent LOD (lower than 0.5 ppm), a good linear relationship, and great selectivity. Moreover, we explored the sensing mechanism according to the surface depletion model and electric resistance analysis. Such an excellent sensor based on 1.0% Au/ZnO NS signifies the amazing application potential in real-time, in addition to the nondestructive and efficient detection of 3H-2B. Considering the relationship between 3H-2B and LM, it opens up the opportunity to effectively and conveniently evaluate LM in foods, which will make a tremendous contribution to worldwide food safety.

2. Materials and Methods

2.1. Materials

We acquired chloroauric acid trihydrate (HAuCl4·3H2O, ≥99.9%) and 3-hydroxy-2-butanone (CH3COCH(OH)CH3, analytical standard) from Sigma-Aldrich, Saint Louis, United States. We purchased N-hexane from Shanghai Acmec Biochemical Co. Ltd., Shanghai, China. We purchased zinc acetate (C4H6O4Zn, ≥99.99%), urea (CO(NH2)2, ≥99.9%), oleylamine (C18H37N, 80–90%), and other reagents for selective testing from Yasuda chemical (Jiangsu) Co. Ltd., Huaian, China. We did not refine reagents in this research.

2.2. Instruments

We determined the crystalline form by X-ray diffraction (XRD, X’Pert) with Ni-filtered Cu Kα radiation (40 kV, 40 mA, 1.54056 Å) in the range of 2θ = 20 to 80° at 25 °C. We applied transmission electron microscopy (TEM) and high-resolution TEM (HRTEM; JEOI JEM-2011) to determine the microstructure of materials at accelerating voltage of 200 kV. We analyzed the chemistry composition by X-ray photoelectron spectroscopy (XPS; PHI-5000C ESCA), operating with Al Kα radiation (hν = 1486.6 eV). We charge-corrected binding energy values to C 1s = 284.6 eV. We tested the specific surface area by the Brunauer-Emmett-Teller method (BET; ASAP 2460), applying N2 as adsorbate at 77 K.

2.3. Synthesis of ZnO NS

We prepared ZnO NS as in previous methods [23,24,25]. We added 7 g urea and 2 g zinc acetate to 80 mL deionized water, stirred for 45 min, transferred to 100 mL conical flask, and laid hermetically in an oven at 95 °C for 6 h. After natural cooling, we centrifuged the white precipitate, washed, then dried at 80 °C. We calcined precursors in a muffle oven at 300 °C for 2 h to gain ZnO NS. These chemical reactions during the synthesis are shown in the following chemical equations:
CO(NH2)2 + 3H2O → CO ↑ + 2NH4OH
NH4OH → NH4+ + OH
4Zn2+ + CO2 + 6OH + 2H2O → Zn4CO3(OH)6·H2O + 2H+
Zn4CO3(OH)6·H2O → 4ZnO + CO2 ↑ + 4 H2O ↑

2.4. Synthesis of Au NPs

We prepared Au NPs as in previous methods [26]. We transferred 20 mL oleylamine and 118 mg chloroauric acid trihydrate to a three-necked flask (50 mL) and heated to 120 °C in constant-temperature oil bath, magnetically stirring and refluxing for 15 min. Then, we increased the temperature of the solution to 200 °C for 15 min, and increased again to 240 °C for 20 min. Next, we gathered Au NPs by centrifuging, cleaning, and drying. Finally, we dispersed Au NPs in N-hexane for further preserving. We carried out similar methods to prepare Pd and Pt NPs.

2.5. Synthesis of Au/ZnO NS

We prepared Au/ZnO NS as in previous methods [27]. We dispersed 100 mg ZnO NS in 30 mL deionized water. Then, we added various amounts of Au NPs to these solutions. Afterward, we ultrasonically stirred the solutions for 2 h. We set the mass percent of Au in the materials as 0.5, 1.0, 1.5, and 2.0 wt.%. Finally, we marked the nanocomposites as 0.5% Au/ZnO NS, 1% Au/ZnO NS, 1.5% Au/ZnO NS, and 2% Au/ZnO NS, and dried at 60 °C. In order to compare with Au/ZnO NS, we decorated 1.0 wt.% Pd and Pt NPs on ZnO NS and marked as 1.0% Pd/ZnO NS and 1.0% Pt/ZnO NS.

2.6. Preparation of the Sensors

We prepared the MEMS sensors according to the previous research [27]. The sensors possessed an interdigital electrode and an integrated microheater (Figure S1). Specifically, the resistance changes can be observed by the interdigital electrode, and a stable working temperature can be provided by the microheater. First of all, we transferred the gas−sensitive material and deionized water into an agate mortar and polished for 5 min to obtain a paste. Then, we added a drop of the abovementioned sample to the Pt interdigital electrode. After drying in an oven, we aged the ZnO sensors at 160 °C.

3. Results

3.1. Materials Characterization

As presented in Figure 1, ZnO NS were prepared by the one-step hydrothermal method combined with calcination, in which zinc acetate was the zinc source. Then, the oleylamine reduction method was used to synthesize Au NPs. Next, Au NPs were decorated on ZnO NS by ultrasonic treatment, in which the mass percentages of the Au element in Au/ZnO NS were set as 0.5, 1.0, 1.5, and 2.0 wt.%.
The crystal structure and phase of pristine ZnO and 1.0% Au/ZnO NS were measured by XRD. According to Figure 2, the two peaks belonging to pristine ZnO NS and 1.0% Au/ZnO were indexed as hexagonal ZnO (JCPDS card no. 89-0510). The lattice constants of it were a = 3.25 × 10−10 m and c = 5.20 × 10−10 m. There were no other stray peaks except the peaks belonging to ZnO, which illustrated that ZnO NS as-prepared had excellent purity. Meanwhile, the characteristic patterns of Au were not presented in the peaks of 1.0% Au/ZnO NS because of the weak peak intensity and the low load rate of Au [28].
TEM was performed to determine the morphology of sensing materials. As shown in Figure 3a, ZnO NS with typical nanosheet characteristics had lengths of about 40–60 nm. Their edge was clear and their boundary with the background was obvious, indicating that they had very good crystallinity [29]. Figure 3b presents the lattice spacing of ZnO NS, which was 0.19 nm, corresponding to the hexagonal ZnO (0 0 2) plane [30]. Figure 3c,d show Au NPs with diameters around 5.5 nm are uniform in size with great dispersion and crystallinity. The interplanar spacing of Au NPs was 0.24 nm, corresponding to the Au (1 1 1) plane [31]. Figure 3e shows a number of Au NPs were loaded on ZnO NS. The lattice spacing of the ZnO (0 0 2) and Au (1 1 1) plane are clearly shown in the HRTEM image of 1.0% Au/ZnO NS (Figure 3f). This revealed that Au NPs had been favorably decorated on ZnO NS. Moreover, the STEM-EDS elemental mapping images in Figure 3g–i showed that Zn, O, and Au elements were uniformly distributed in ZnO NS, further proving the success of Au/ZnO NS synthesis.
The chemical states of ZnO NS and the 1.0% Au/ZnO NS surface were applicated by the XPS analysis. The full spectrum is displayed in Figure 4a, which shows the signal intensity of Zn 2p, O 1s, and C 1s. It further shows that as-prepared ZnO NS had very high purity. Moreover, in the spectra of 1.0% Au/ZnO NS (Figure 4b), two weak peaks at 87.6 eV and 83.9 eV were distinguished to Au 4f7/2 and Au 4f5/2, revealing the Au element was in the valence of Au0 [32,33]. The O 1s patterns exhibited in Figure 4c were resolved by a Gaussian function to three peaks at 529.6, 531.1, and 531.4 eV, which were characteristic peaks of adsorbed oxygen (Oads), defect oxygen (Odef), and lattice oxygen (Olat) [34,35]. The gas-sensing properties of sensitive materials were significantly affected by the valence of oxygen on their surfaces [28,36]. Figure 4c,d show the ratio of Oads and Odef in pure ZnO NS increased from 10.2% and 21.0% to 14.8% and 27.2% after Au NPs sensitizing. In general, Olat made little contribution to the electron transfer of n-type semiconductors because it was difficult to react with the measured gases. However, Odef and Oads were in activity, so they could take part in a redox reaction and significantly increase the main charge-carriers’ concentration [37]. Therefore, the modification of Au NPs significantly increased the proportion of oxygen that participated in the reaction on the surface of Au/ZnO NS. This change may improve the sensitivity of the materials [28].
The N2 adsorption–desorption isotherms and BJH pore size distribution of ZnO NS and 1.0% Au/ZnO NS are exhibited in Figure S2. Both the pristine ZnO NS and 1.0% Au/ZnO NS were consistent with the characteristic type IV adsorption isotherm due to the hysteresis loops shown in Figure S2a,b. It proved that as-prepared materials had a mesoporous framework [38,39,40]. Compared with the specific surface area of ZnO NS (24.74 m2/g), the specific surface area of 1.0% Au/ZnO NS increased by 20.3% (29.77 m2/g). Thus, 1.0% Au/ZnO NS had more effective adsorption sites to further improve the sensitivity. Moreover, the results above also revealed that most Au NPs were uniformly distributed on ZnO NS [41,42].

3.2. Gas-Sensing Properties

As mentioned above, 3H-2B has a 32.2% abundance in the MVOCs of LM, and the concentration of it is linearly related with the number of LM [6,7]. Thus, it is a simple and efficient way to indirectly evaluate LM in foods by detecting 3H-2B, ensuring food safety. Based on this, the environmentally-friendly MEMS sensors with magnificent sensitivity, high throughput, and miniaturization were fabricated, the method of which was described in previous work [27] using as-synthesized materials for 3H-2B detection.
For all MOS gas sensors, the operating temperature is an important factor that significantly affects their sensitivity [43]. Therefore, the sensors were firstly analyzed at temperatures from 170 °C to 290 °C vs. 25 ppm 3H-2B. It must be noted that for the n-type MOS gas sensor and reducing target gases, the response is defined as the value of Rair divided by Rgas (see more details in Supplementary Material). The optimum operating temperature of the pure ZnO NS was 260 °C (Figure 5a), when the response reached about 25. Then, the sensitive properties of the sensors after being decorated by Au NPs were obviously improved. While 1.0% Au/ZnO NS had the highest response as 174.04, which was almost seven times that of ZnO NS, its optimum working temperature was reduced to 230 °C. Moreover, most sensors presented the best performance at 230 °C, so the optimum operating temperature was set to 230 °C for following tests. Figure 5b exhibits the dynamic responses of 1.0% Au/ZnO NS, 1.0% Pd/ZnO NS, 1.0% Pt/ZnO NS, and pure ZnO NS vs. 1–25 ppm 3H-2B. Similar to the above results, the 1.0% Au/ZnO NS sensors showed the greatest sensitivity. Moreover, the responses of all sensors increased with the injection quantity of 3H-2B from 1 to 25 ppm and decreased from 25 to 1 ppm. During the rise and fall of the response value, when the concentration of 3H-2B was the same, the responses were almost the same. This indicated that the sensors had outstanding reversibility and repeatability [44]. These characteristics were also observed in the dynamic responses of 0.5%, 1.0%, 1.5%, and 2% Au/ZnO NS to 1–25 ppm 3H-2B (Figure 5c). According to the results in Figure 5b,c, 1.0% Au/ZnO NS sensors are considered to be the most outstanding. Meanwhile, the Au/ZnO-based gas sensor also presented a good linear relationship with the 3H-2B concentration, in which the R2 values were all greater than 0.99 (Figure 5d). To explore the LOD of the sensors, the response of 1.0% Au/ZnO NS vs. 3H-2B at 0.5 ppm was measured. As shown in Figure S3, the response of the 1.0% Au/ZnO NS sensor was vivid and evident (close to five) despite the 3H-2B concentration being only 0.5 ppm. Generally, the limit of the LM concentration in foods cannot exceed 100 CFU/g−1. According to the previous study, when the concentration of LM was 100 CFU/g−1, the corresponding concentration of 3H-2B was about 2.5 ppm [7]. However, the response of 1.0% Au/ZnO NS sensors was nearly 20 towards 2.5 ppm 3H-2B, which was significant enough to evaluate whether the foods were safe.
However, the rapid response/recovery time is one of the essential characteristics for gas sensors. So, that of Au/ZnO NS and ZnO NS towards 25 ppm 3H-2B was assessed and exhibited in Figure 6a. The response/recovery times of Au/ZnO NS were between 4 s and 15 s, and that of ZnO NS was 7 s and 20 s, respectively. This revealed that the modification of Au NPs significantly improved the response/recovery speed of the materials. Although the response/recovery time (6 s and 7 s) was not the fastest, it was still rapid enough to satisfy the urgent need for 3H-2B detection in real time. The responses of both 1.0% Au/ZnO NS and ZnO NS sensors were almost the same after five repeats of the test (Figure 6b), indicating that the reversibility and repeatability of these sensors were considerable, as mentioned above. Moreover, Figure S4 displayed the long-term stability of 0.5%, 1.0%, 1.5%, and 2.0% Au/ZnO NS sensors at 230 °C towards the concentration of 3H-2B at 10 ppm. The responses of these sensors fluctuated indistinctly when they were examined every 5 days in a month. This was enough to illustrate the good long-term stability of these sensors. Then, the selectivity and discrimination analyses of these sensors were carried out due to the necessity of selectivity and discrimination characteristics for all sensors [45,46]. For studying the selectivity, the responses of Au/ZnO NS and ZnO NS sensors to formaldehyde, methanol, ethanol, ammonia, benzaldehyde, acetone, butanedione, and 3H-2B at 230 °C were investigated (Figure 6c). Their concentrations were all 25 ppm. Obviously, the responses of Au/ZnO NS and ZnO NS sensors toward 3H-2B were much higher than the responses towards other gases. Thus, the selectivity of these sensors, especially 1.0% Au/ZnO sensors, was quite outstanding. Meanwhile, the chemical sensitization effect was proven to be the most critical factor of enhanced sensitivity because the ratio of Au NPs decorated on ZnO NS barely influenced the selectivity [20,28]. The results of the discrimination evaluation are shown in Figure 6d. Compared with the response of the 1.0% Au/ZnO NS sensor to 25 ppm 3H-2B, the variation of the responses did not exceed 10%, no matter what interference gases were mixed with 3H-2B. Therefore, the selectivity and discrimination of the 1.0% Au/ZnO NS sensor were considerable.
Based on all the assessments and data above, the 1.0% Au/ZnO NS sensor has exhibited excellent gas-sensing performance. Furthermore, comparisons of its properties with other MOS-based 3H-2B sensors in the previous research are presented in Figure 7 and Table S1. The indicators for comparisons mainly included the optimum working temperature, response to 3H-2B, response/recovery time, and LOD. According to the comparison, the properties of the 1.0% Au/ZnO NS sensor were almost superior in every index compared with other recently reported sensors reported [5,7,8,9,10,11,36]. Thus, it verified that the 1.0% Au/ZnO NS sensor had amazing application potential for the rapid, high-sensitivity, and good-selectivity detection of 3H-2B. This was also the basis for the real-time, nondestructive, and efficient evaluation of LM.

3.3. Gas-Sensing Mechanism

The sensing mechanism of ZnO NS adheres to a surface depletion model because ZnO NS is a kind of n-type MOS [47]. The reactions between the MOS surface and gas environment are the critical factors for the resistance change. Once ZnO NS is exposed to air, O2 molecules are adsorbed to the surface of ZnO NS through capturing electrons from the conduction band. At the same time, oxygen molecules convert into various kinds of Oads ions. The reactions during the procedure are shown in the following equations:
O2 gas → O2 ads
O2 ads + e → O2 ads
O2 ads + e → 2O ads
O ads + e → O2− ads
Meanwhile, the potential barriers and resistances of the materials are increasing due to the construction of thick EDL on the ZnO NS surface. However, when ZnO NS comes into contact with 3H-2B, active Oads ions on the material’s surface oxidize 3H-2B, which returns electrons to ZnO NS. The reaction is shown in the following equation [7]:
CH3CHOHCOCH3 + 10Oads → 2CO2 + 4H2O + 10e
The electrons returned to ZnO NS are able to decrease the potential barriers and resistance of ZnO NS, which is displayed in Figure 8a,b [37]. In Au/ZnO NS, Au NPs can reduce the chemical adsorption activation energy of 3H-2B, which speeds up the reaction between 3H-2B and the Oads ions. At the same time, the spillover effect occurs. Au NPs improve the adsorption efficiency of oxygen molecules and transfer them to the Au/ZnO NS surface, leading to the increased concentration of Oads. Moreover, the Schottky junction can be formed between Au NPs and the material interface. Moreover, compared with the work function of ZnO (4.65 eV), that of Au (5.1 eV) is higher; therefore, Au NPs attract more electrons from the conduction band of ZnO. All these processes greatly increase the thickness of EDL and the resistance of Au/ZnO NS, which improve the sensitivity significantly [20,21,48]. Figure 8c shows that the resistance of 1.0% Au/ZnO NS in the air was much higher compared with the resistance of pristine ZnO NS. Then, the resistance of 1.0% Au/ZnO NS decreased lower than that of ZnO NS after the 3H-2B injection. This phenomenon provided favorable support for the above mechanism analysis.

4. Discussion and Conclusions

In this work, ZnO NS was synthesized by a hydrothermal reaction, and Au NPs (~5.5 nm) were prepared via the oleylamine reduction method. Then, an ultrasonic treatment was carried out to modified Au NPs and ZnO NS, which were represented as Au/ZnO NS. XRD, BET, TEM, and XPS were used to characterize their morphologies, microstructures, catalytic structures, specific surface areas, and chemical compositions. The efficient 3H-2B gas sensors based on the MEMS were constructed using Au/ZnO NS as the sensing material. The response of the sensors vs. 25 ppm 3H-2B was up to 174.04 at 230 °C. Moreover, the Au/ZnO NS sensors presented fast response/recovery times (6 s/7 s), low LOD (0.5 ppm), a good linear relationship, and great selectivity. The gas sensors based on Pd/ZnO NS, Pt/ZnO NS, and pure ZnO NS were further studied to make comparisons with Au/ZnO NS. The enhanced responses of the sensors are primarily attributed to the morphology and structure improvements of Au/ZnO NS, the spillover effect, and the work function difference. Thus, such an excellent sensor signifies amazing application potential for the real-time, nondestructive, and efficient detection of LM, which will make a tremendous contribution toward worldwide food safety.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/bios12100803/s1, the “preparation of ZnO sensors” and “gas sensor measurement” sections; Figure S1: Schematic illustration for the description of MOSs sensors. (a) The panoramic view of the MEMS gas sensor test system. (b) The measuring circuit of MEMS gas sensor. (c) The test base schematic of the MEMS gas sensor. (d) The exploded views of the test base; Figure S2: The N2 adsorption–desorption isotherms and BJH pore size distribution of (a) ZnO NS and (b) 0.5% Au/ZnO NS; Figure S3: The limit of detection of 1.0% Au/ZnO NS towards 0.5 ppm 3H-2B at 230 °C; Figure S4: The long-term stability of 0.5% Au/ZnO NS, 1.0% Au/ZnO NS, 1.5% Au/ZnO NS, and 2.0% Au/ZnO NS towards 10 ppm 3H-2B at 230 °C; Table S1: The comparison of the gas sensing properties of 1.0% Au/ZnO NS sensors with other MOS-based 3H-2B sensors in the previous research. References [5,7,8,9,10,11,27,36] are cited in Supplementary Materials.

Author Contributions

Conceptualization, C.Z., Y.Z. (Yong Zhao) and Y.Z. (Yongheng Zhu); methodology, C.Z.; validation, S.X. (Siqi Xie), J.W. (Jinlei Wei) and J.H.; formal analysis, C.Z.; resources, Y.Z. (Yong Zhao) and Y.Z. (Yongheng Zhu); writing—original draft preparation, C.Z. and S.X. (Shanshan Xu); writing—review and editing, C.Z. and S.X. (Shanshan Xu); supervision, J.W. (Jing Wei), Z.Z., H.L. and J.C.; project administration, J.W. (Jing Wei), Z.Z., H.L., Y.Z. (Yong Zhao) and Y.Z. (Yongheng Zhu); funding acquisition, Y.Z. (Yong Zhao) and Y.Z. (Yongheng Zhu). All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Agricultural Project of Shanghai Science and Technology Innovation Action Plan (19391901600), the Natural Science Foundation of Shanghai (21ZR1427500), the Shanghai Agriculture Applied Technology Development Program (2021-02-08-00-12-F00763), and the Key Basic Research Program of Science and Technology Commission of Shanghai Municipality (20JC1415300).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. De Noordhout, C.M.; Devleesschauwer, B.; Angulo, F.J.; Verbeke, G.; Haagsma, J.; Kirk, M.; Havelaar, A.; Speybroeck, N. The global burden of Listeriosis: A systematic review and meta-analysis. Lancet Infect. Dis. 2014, 14, 1073–1082. [Google Scholar] [CrossRef]
  2. Radoshevich, L.; Cossart, P. Listeria monocytogenes: Towards a complete picture of its physiology and pathogenesis. Nat. Rev. Microbiol. 2018, 16, 32–46. [Google Scholar] [CrossRef] [PubMed]
  3. Velusamy, V.; Arshak, K.; Korostynska, O.; Oliwa, K.; Adley, C. An overview of foodborne pathogen detection in the perspective of biosensors. Biotechnol. Adv. 2010, 28, 232–245. [Google Scholar] [CrossRef] [PubMed]
  4. Välimaa, A.L.; Tilsala-Timisjärvi, A.; Virtanen, E. Rapid detection and identification methods for Listeria monocytogenes in the food chain—A review. Food Control 2015, 55, 103–114. [Google Scholar] [CrossRef]
  5. Zhu, Z.Y.; Zheng, L.J.; Zheng, S.Z.; Chen, J.; Liang, M.H.; Tian, Y.T.; Yang, D.C. Cr doped WO3 nanofibers enriched with surface oxygen vacancies for highly sensitive detection of the 3-hydroxy-2-butanone biomarker. J. Mater. Chem. A 2018, 6, 21419–21427. [Google Scholar] [CrossRef]
  6. Yu, Y.X.; Sun, X.H.; Liu, Y.; Pan, Y.J.; Zhao, Y. Odor fingerprinting of Listeria monocytogenes recognized by SPME–GC–MS and E-nose. Can. J. Microbiol. 2015, 61, 367–372. [Google Scholar] [CrossRef]
  7. Zhu, Y.H.; Zhao, Y.; Ma, J.H.; Cheng, X.W.; Xie, J.; Xu, P.C.; Liu, H.Q.; Liu, H.P.; Zhang, H.J.; Wu, M.H.; et al. Mesoporous tungsten oxides with crystalline framework for highly sensitive and selective detection of foodborne pathogens. J. Am. Chem. Soc. 2017, 139, 10365–10373. [Google Scholar] [CrossRef]
  8. Cai, H.J.; Liu, H.Q.; Ni, T.J.; Pan, Y.J.; Zhao, Y.; Zhu, Y.H. Controlled synthesis of Pt doped SnO2 mesoporous hollow nanospheres for highly selective and rapidly detection of 3-hydroxy-2-butanone biomarker. Front. Chem. 2019, 7, 843. [Google Scholar] [CrossRef]
  9. Xu, D.P.; Ge, K.J.; Qi, S.Y.; Chen, Y.; Qiu, J.X.; Liu, Q. Hydrangea-like mesoporous WO3 nanoflowers with crystalline framework for 3-hydroxy-2-butanone sensing. Anal. Bioanal. Chem. 2020, 412, 8371–8378. [Google Scholar] [CrossRef]
  10. Xing, X.X.; Zhu, Z.Y.; Du, L.L.; Feng, D.L.; Chen, J.; Li, S.; Yang, D.C. Burrs-shelled SnO2@Al2O3 nanocables for detection of 3-hydroxy-2-butanone biomarkers. Appl. Surf. Sci. 2020, 502, 144106. [Google Scholar] [CrossRef]
  11. Chen, J.; Zhu, Z.Y.; Zheng, S.Z.; Du, L.L.; Xing, X.X.; Feng, D.L.; Li, S.; Yang, D.C. Synthesis of zinc oxide-alumina nanocables for detection of 3-hydroxy-2-butanone biomarker. Mater. Lett. 2019, 253, 121–123. [Google Scholar] [CrossRef]
  12. Zhu, Z.Y.; Zheng, L.J.; Zheng, S.Z.; Chen, J.; Xing, X.; Feng, D.L.; Yang, D.C. Multichannel pathway-enriched mesoporous NiO nanocuboids for the highly sensitive and selective detection of 3-hydroxy-2-butanone biomarkers. J. Mater. Chem. A 2019, 7, 10456–10463. [Google Scholar] [CrossRef]
  13. Xu, J.Q.; Han, J.J.; Zhang, Y.; Sun, Y.A.; Xie, B. Studies on alcohol sensing mechanism of ZnO based gas sensors. Sens. Actuators B Chem. 2009, 132, 334–339. [Google Scholar] [CrossRef]
  14. Meng, F.L.; Zheng, H.X.; Sun, Y.F.; Li, M.Q.; Liu, J.H. Trimethylamine sensors based on au-modified hierarchical porous single-crystalline ZnO nanosheets. Sensors 2017, 17, 1478. [Google Scholar] [CrossRef]
  15. Choi, M.S.; Kim, M.Y.; Mirzaei, A.; Kim, H.S.; Kim, S.I.; Baek, S.H.; Chun, D.W.; Jin, C.H.; Lee, K.H. Selective, sensitive, and stable NO2 gas sensor based on porous ZnO nanosheets. Appl. Surf. Sci. 2021, 569, 150910. [Google Scholar] [CrossRef]
  16. Xu, D.S.; Xu, P.C.; Wang, X.Q.; Chen, Y.; Yu, H.T.; Zheng, D.; Li, X.X. Pentagram-shaped Ag@Pt core-shell nanostructures as high-performance catalysts for formaldehyde detection. ACS Appl. Mater. Interfaces 2020, 12, 8091–8097. [Google Scholar] [CrossRef]
  17. Choi, S.J.; Lee, I.; Jang, B.H.; Youn, D.Y.; Ryu, W.H.; Park, C.O.; Kim, I.D. Selective diagnosis of diabetes using ptfunctionalized WO3 hemitube networks as a sensing layer of acetone in exhaled breath. Anal. Chem. 2013, 85, 1792–1796. [Google Scholar] [CrossRef]
  18. Jang, J.S.; Yu, S.; Choi, S.J.; Kim, S.J.; Koo, W.T.; Kim, I.D. Metal chelation assisted in situ migration and functionalization of catalysts on peapod-like hollow SnO2 toward a superior chemical sensor. Small 2016, 12, 5989–5997. [Google Scholar] [CrossRef]
  19. Wang, Y.L.; Cui, X.B.; Yang, Q.Y.; Liu, J.; Gao, Y.; Sun, P.; Lu, G.Y. Preparation of Ag-loaded mesoporous WO3 and its enhanced NO2 sensing performance. Sens. Actuators B Chem. 2016, 225, 544–552. [Google Scholar] [CrossRef]
  20. Zhao, C.; Shen, J.B.; Xu, S.S.; Wei, J.; Liu, H.Q.; Xie, S.Q.; Pan, Y.J.; Zhao, Y.; Zhu, Y.H. Ultra-efficient trimethylamine gas sensor based on Au nanoparticles sensitized WO3 nanosheets for rapid assessment of seafood freshness. Food Chem. 2022, 392, 133318. [Google Scholar] [CrossRef]
  21. Majhi, S.M.; Rai, P.; Yu, Y.T. Facile approach to synthesize Au@ZnO core-shell NPs and their application for highly sensitive and selective gas sensors. ACS Appl. Mater. Interfaces 2015, 7, 9462–9468. [Google Scholar] [CrossRef]
  22. Wang, L.W.; Wang, S.R.; Xu, M.J.; Hu, X.J.; Zhang, H.X.; Wang, Y.S.; Huang, W.P. A Au-functionalized ZnO nanowire gas sensor for detection of benzene and toluene. Phys. Chem. Chem. Phys. 2013, 15, 17179–17186. [Google Scholar] [CrossRef]
  23. Meng, F.L.; Ge, S.; Jia, Y.; Sun, B.; Sun, Y.F.; Wang, C.; Wu, H.; Jin, Z.; Li, M.Q. Interlaced nanoflake-assembled flower-like hierarchical ZnO microspheres prepared by bisolvents and their sensing properties to ethanol. J. Alloys Compd. 2015, 632, 645–650. [Google Scholar] [CrossRef]
  24. Meng, F.L.; Hou, N.N.; Ge, S.; Sun, B.; Jin, Z.; Shen, W.; Kong, L.T.; Guo, Z.; Sun, Y.F.; Wu, H.; et al. Flower-like hierarchical structures consisting of porous single-crystalline ZnO nanosheets and their gas sensing properties to volatile organic compounds (VOCs). J. Alloys Compd. 2015, 626, 124–130. [Google Scholar] [CrossRef]
  25. Hou, N.N.; Jin, Z.; Sun, B.; Sun, Y.F.; Shen, W.; Guo, Z.; Kong, L.T.; Li, M.Q.; Meng, F.L. New strategy for rapid detection of the simulants of persistent organic pollutants using gas sensor based on 3-D porous single-crystalline ZnO nanosheets. IEEE Sens. J. 2015, 15, 3668–3674. [Google Scholar] [CrossRef]
  26. Han, T.; Zhang, Y.; Xu, J.; Dong, J.; Liu, C.C. Monodisperse AuM (M = Pd, Rh, Pt) bimetallic nanocrystals for enhanced electrochemical detection of H2O2. Sens. Actuators B Chem. 2015, 207, 404–412. [Google Scholar] [CrossRef]
  27. Shen, J.B.; Xu, S.S.; Zhao, C.; Qiao, X.P.; Liu, H.Q.; Zhao, Y.; Wei, J.; Zhu, Y.H. Bimetallic Au@Pt nanocrystal sensitization mesoporous alpha-Fe2O3 hollow nanocubes for highly sensitive and rapid detection of fish freshness at low temperature. ACS Appl. Mater. Interfaces 2021, 13, 57597–57608. [Google Scholar] [CrossRef]
  28. Wang, D.; Deng, L.F.; Cai, H.J.; Yang, J.L.; Bao, L.P.; Zhu, Y.H.; Wang, X.Y. Bimetallic PtCu nanocrystal sensitization WO3 hollow spheres for highly efficient 3-hydroxy-2-butanone biomarker detection. ACS Appl. Mater. Interfaces 2020, 12, 18904–18912. [Google Scholar] [CrossRef]
  29. Zhang, B.; Wang, F.; Zhu, C.Q.; Li, Q.; Song, J.N.; Zheng, M.J.; Ma, L.; Shen, W.Z. A facile self-assembly synthesis of hexagonal ZnO nanosheet films and their photoelectrochemical properties. Nano-Micro Lett. 2016, 8, 137–142. [Google Scholar] [CrossRef]
  30. Huang, M.H.; Wu, Y.Y.; Feick, H.; Tran, N.; Weber, E.; Yang, P.D. Catalytic growth of zinc oxide nanowires by vapor transport. Adv. Mater. 2001, 13, 113–116. [Google Scholar] [CrossRef]
  31. Li, G.; Cheng, Z.; Xiang, Q.; Yan, L.; Wang, X.; Xu, J. Bimetal PdAu decorated SnO2 nanosheets based gas sensor with temperature-dependent dual selectivity for detecting formaldehyde and acetone. Sens. Actuators B Chem. 2019, 283, 590–601. [Google Scholar] [CrossRef]
  32. Song, X.; Xu, Q.; Zhang, T.; Song, B.; Li, C.; Cao, B. Room-temperature, high selectivity and low-ppm-level triethylamine sensor assembled with au decahedrons-decorated porous α-Fe2O3 nanorods directly grown on flat substrate. Sens. Actuators B Chem. 2018, 268, 170–181. [Google Scholar] [CrossRef]
  33. Cao, P.J.; Huang, Q.G.; Navale, S.T.; Fang, M.; Liu, X.K.; Zeng, Y.X.; Liu, W.J.; Stadler, F.J.; Lu, Y.M. Integration of, esoporous ZnO and Au@ZnO nanospheres into sensing device for the ultrasensitive CH3COCH3 detection down to ppb levels. Appl. Surf. Sci. 2020, 518, 146223–146234. [Google Scholar] [CrossRef]
  34. Pelicano, C.M.; Yanagi, H. Accelerated growth of nanostructured ZnO films via low temperature microwave-assisted H2O oxidation for solar cell applications. Appl. Surf. Sci. 2020, 506, 144917. [Google Scholar] [CrossRef]
  35. Ma, J.H.; Ren, Y.; Zhou, X.R.; Liu, L.L.; Zhu, Y.H.; Cheng, X.W.; Xu, P.C.; Li, X.X.; Deng, Y.H.; Zhao, D.Y. Pt nanoparticles sensitized ordered mesoporous WO3 semiconductor: Gas sensing performance and mechanism study. Adv. Funct. Mater. 2018, 28, 1705268. [Google Scholar] [CrossRef]
  36. Chen, J.; Feng, D.L.; Wang, C.; Xing, X.X.; Du, L.L.; Zhu, Z.Y.; Huang, X.H.; Yang, D.C. Gas sensor detecting 3-hydroxy-2-butanone biomarkers: Boosted response via decorating Pd nanoparticles onto the {010} facets of BiVO4 decahedrons. ACS Sens. 2020, 5, 2620–2627. [Google Scholar] [CrossRef]
  37. Lee, J.H.; Mirzaei, A.; Kim, J.Y.; Kim, J.H.; Kim, H.W.; Kim, S.S. Optimization of the surface coverage of metal nanoparticles on nanowires gas sensors to achieve the optimal sensing performance. Sens. Actuators B Chem. 2019, 302, 127196. [Google Scholar] [CrossRef]
  38. Wan, L.; Song, H.Y.; Ma, J.H.; Ren, Y.; Cheng, X.W.; Su, J.C.; Yue, Q.; Deng, Y.H. Polymerization-induced colloid assembly route to iron oxide-based mesoporous microspheres for gas sensing and fenton catalysis. ACS Appl. Mater. Interfaces 2018, 10, 13028–13039. [Google Scholar] [CrossRef]
  39. Xiao, X.Y.; Liu, L.L.; Ma, J.H.; Ren, Y.; Cheng, X.W.; Zhu, Y.H.; Zhao, D.Y.; Elzatahry, A.A.; Alghamdi, A.; Deng, Y.H. Ordered mesoporous tin oxide semiconductors with large pores and crystallized walls for high-performance gas sensing. ACS Appl. Mater. Interfaces 2018, 10, 1871–1880. [Google Scholar] [CrossRef]
  40. Liu, C.; Wang, Y.; Zhao, P.; Li, W.; Wang, Q.; Sun, P.; Chuai, X.; Lu, G. Porous alpha-Fe2O3 microflowers: Synthesis, structure, and enhanced acetone sensing performances. J. Colloid Interface Sci. 2017, 505, 1039–1046. [Google Scholar] [CrossRef]
  41. Zhang, F.D.; Dong, X.; Cheng, X.L.; Xu, Y.M.; Zhang, X.F.; Huo, L.H. Enhanced gas-sensing properties for trimethylamine at low temperature based on MoO3/Bi2Mo3O12 hollow microspheres. ACS Appl. Mater. Interfaces 2019, 11, 11755–11762. [Google Scholar] [CrossRef]
  42. Liu, C.; Gao, H.; Wang, L.; Wang, T.; Yang, X.; Sun, P.; Gao, Y.; Liang, X.; Liu, F.; Song, H.; et al. Facile synthesis and the enhanced sensing properties of Pt-loaded α-Fe2O3 porous nanospheres. Sens. Actuators B Chem. 2017, 252, 1153–1162. [Google Scholar] [CrossRef]
  43. Cai, H.J.; Qiao, X.P.; Chen, M.L.; Feng, D.S.; Alghamdi, A.A.; Alharthi, F.A.; Pan, Y.J.; Zhao, Y.; Zhu, Y.H.; Deng, Y.H. Hydrothermal synthesis of hierarchical SnO2 nanomaterials for high-efficiency detection of pesticide residue. Chin. Chem. Lett. 2021, 32, 1502–1506. [Google Scholar] [CrossRef]
  44. Chen, Y.P.; Li, Y.X.; Feng, B.X.; Wu, Y.; Zhu, Y.H.; Wei, J. Self-templated synthesis of mesoporous Au-ZnO nanospheres for seafood freshness detection. Sens. Actuators B Chem. 2022, 360, 131662. [Google Scholar] [CrossRef]
  45. Wu, L.; Zhang, W.M.; Liu, C.; Foda, M.F.; Zhu, Y.H. Strawberry-like SiO2/Ag nanocomposites immersed filter paper as SERS substrate for acrylamide detection. Food Chem. 2020, 328, 127106. [Google Scholar] [CrossRef]
  46. Wu, L.; Xianyu, Y.L.; Wang, Z.L.; Dong, Y.Z.; Hu, X.B.; Chen, Y.P. Amplified magnetic resonance sensing via enzyme-mediated click chemistry and magnetic separation. Anal. Chem. 2020, 91, 15555–15562. [Google Scholar] [CrossRef]
  47. Sakai, G.; Matsunaga, N.; Shimanoe, K.; Yamazoe, N. Theory of gas-diffusion controlled sensitivity for thin film semiconductor gas sensor. Sens. Actuators B Chem. 2001, 80, 125–131. [Google Scholar] [CrossRef]
  48. Wang, L.L.; Dou, H.M.; Lou, Z.; Zhang, T. Encapsuled nanoreactors (Au@SnO2): A new sensing material for chemical sensors. Nanoscale 2013, 5, 2686–2691. [Google Scholar] [CrossRef]
Figure 1. The synthesis schematic illustration of Au/ZnO NS.
Figure 1. The synthesis schematic illustration of Au/ZnO NS.
Biosensors 12 00803 g001
Figure 2. XRD patterns of ZnO NS and 1.0% Au/ZnO NS.
Figure 2. XRD patterns of ZnO NS and 1.0% Au/ZnO NS.
Biosensors 12 00803 g002
Figure 3. (a) TEM and (b) HRTEM images of pure ZnO NS. (c) TEM images and the particle size distribution of Au NPs. (d) HRTEM image of Au NPs. (e) TEM and (f) HRTEM images of 1.0% Au/ZnO NS. (gi) STEM−EDS elemental mapping images of 1.0% Au/ZnO NS.
Figure 3. (a) TEM and (b) HRTEM images of pure ZnO NS. (c) TEM images and the particle size distribution of Au NPs. (d) HRTEM image of Au NPs. (e) TEM and (f) HRTEM images of 1.0% Au/ZnO NS. (gi) STEM−EDS elemental mapping images of 1.0% Au/ZnO NS.
Biosensors 12 00803 g003
Figure 4. (a) Full XPS spectrum of ZnO NS and 1.0% Au/ZnO NS. (b) High-resolution Au 4f XPS spectra of 1.0% Au/ZnO NS. (c,d) High-resolution O 1s XPS spectra of ZnO NS and 1.0% Au/ZnO NS.
Figure 4. (a) Full XPS spectrum of ZnO NS and 1.0% Au/ZnO NS. (b) High-resolution Au 4f XPS spectra of 1.0% Au/ZnO NS. (c,d) High-resolution O 1s XPS spectra of ZnO NS and 1.0% Au/ZnO NS.
Biosensors 12 00803 g004
Figure 5. (a) Response of pure ZnO NS, 1.0% Pd/ZnO NS, 1.0% Pt/ZnO NS, and Au/ZnO NS to 25 ppm 3H-2B at working temperature from 170 °C to 290 °C. (b) Dynamic responses of 1.0% Au/ZnO NS, 1.0% Pd/ZnO NS, 1.0% Pt/ZnO NS, and pure ZnO NS to 1–25 ppm 3H-2B at 230 °C. (c) Dynamic responses of 0.5% Au/ZnO NS, 1.0% Au/ZnO NS, 1.5% Au/ZnO NS, and 2.0% Au/ZnO NS to 1–25 ppm 3H-2B at 230 °C. (d) Linear relationship between responses of 0.5% Au/ZnO NS, 1.0% Au/ZnO NS, 1.5% Au/ZnO NS, 2.0% Au/ZnO NS, and ZnO NS with 3H-2B concentrations (1–50 ppm) at 230 °C.
Figure 5. (a) Response of pure ZnO NS, 1.0% Pd/ZnO NS, 1.0% Pt/ZnO NS, and Au/ZnO NS to 25 ppm 3H-2B at working temperature from 170 °C to 290 °C. (b) Dynamic responses of 1.0% Au/ZnO NS, 1.0% Pd/ZnO NS, 1.0% Pt/ZnO NS, and pure ZnO NS to 1–25 ppm 3H-2B at 230 °C. (c) Dynamic responses of 0.5% Au/ZnO NS, 1.0% Au/ZnO NS, 1.5% Au/ZnO NS, and 2.0% Au/ZnO NS to 1–25 ppm 3H-2B at 230 °C. (d) Linear relationship between responses of 0.5% Au/ZnO NS, 1.0% Au/ZnO NS, 1.5% Au/ZnO NS, 2.0% Au/ZnO NS, and ZnO NS with 3H-2B concentrations (1–50 ppm) at 230 °C.
Biosensors 12 00803 g005
Figure 6. (a) The response/recovery time of 0.5% Au/ZnO NS, 1.0% Au/ZnO NS, 1.5% Au/ZnO NS, 2.0% Au/ZnO NS, and ZnO NS towards 25 ppm 3H-2B. (b) The repeatability of 1.0% Au/ZnO NS and ZnO NS to 3H-2B towards 25 ppm. (c) The selectivity of 0.5% Au/ZnO NS, 1.0% Au/ZnO NS, 1.5% Au/ZnO NS, 2.0% Au/ZnO NS, and ZnO NS towards 25 ppm interference gases and 3H-2B. (d) The discrimination test of 1.0% Au/ZnO NS sensors to the response of the mixed gas containing 25 ppm 3H-2B and other interference gases. All tests were operated at 230 °C.
Figure 6. (a) The response/recovery time of 0.5% Au/ZnO NS, 1.0% Au/ZnO NS, 1.5% Au/ZnO NS, 2.0% Au/ZnO NS, and ZnO NS towards 25 ppm 3H-2B. (b) The repeatability of 1.0% Au/ZnO NS and ZnO NS to 3H-2B towards 25 ppm. (c) The selectivity of 0.5% Au/ZnO NS, 1.0% Au/ZnO NS, 1.5% Au/ZnO NS, 2.0% Au/ZnO NS, and ZnO NS towards 25 ppm interference gases and 3H-2B. (d) The discrimination test of 1.0% Au/ZnO NS sensors to the response of the mixed gas containing 25 ppm 3H-2B and other interference gases. All tests were operated at 230 °C.
Biosensors 12 00803 g006
Figure 7. The comparison of the gas sensing performances of the 3H-2B sensors with other MOS-based 3H-2B sensors in previous research [5,7,8,9,10,11,36].
Figure 7. The comparison of the gas sensing performances of the 3H-2B sensors with other MOS-based 3H-2B sensors in previous research [5,7,8,9,10,11,36].
Biosensors 12 00803 g007
Figure 8. (a) The schematic illustration of 3H-2B sensing mechanism. (b) Electron structure change and (c) resistance change of ZnO NS and 1.0% Au/ZnO NS in air and 3H-2B.
Figure 8. (a) The schematic illustration of 3H-2B sensing mechanism. (b) Electron structure change and (c) resistance change of ZnO NS and 1.0% Au/ZnO NS in air and 3H-2B.
Biosensors 12 00803 g008
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Zhao, C.; Xu, S.; Wei, J.; Xie, S.; Wei, J.; Han, J.; Zhang, Z.; Liu, H.; Cheng, J.; Zhao, Y.; et al. Enhanced Response for Foodborne Pathogens Detection by Au Nanoparticles Decorated ZnO Nanosheets Gas Sensor. Biosensors 2022, 12, 803. https://doi.org/10.3390/bios12100803

AMA Style

Zhao C, Xu S, Wei J, Xie S, Wei J, Han J, Zhang Z, Liu H, Cheng J, Zhao Y, et al. Enhanced Response for Foodborne Pathogens Detection by Au Nanoparticles Decorated ZnO Nanosheets Gas Sensor. Biosensors. 2022; 12(10):803. https://doi.org/10.3390/bios12100803

Chicago/Turabian Style

Zhao, Cheng, Shanshan Xu, Jing Wei, Siqi Xie, Jinlei Wei, Jingting Han, Zhaohuan Zhang, Haiquan Liu, Jinsheng Cheng, Yong Zhao, and et al. 2022. "Enhanced Response for Foodborne Pathogens Detection by Au Nanoparticles Decorated ZnO Nanosheets Gas Sensor" Biosensors 12, no. 10: 803. https://doi.org/10.3390/bios12100803

APA Style

Zhao, C., Xu, S., Wei, J., Xie, S., Wei, J., Han, J., Zhang, Z., Liu, H., Cheng, J., Zhao, Y., & Zhu, Y. (2022). Enhanced Response for Foodborne Pathogens Detection by Au Nanoparticles Decorated ZnO Nanosheets Gas Sensor. Biosensors, 12(10), 803. https://doi.org/10.3390/bios12100803

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