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Article

Sequential Photodamage Driven by Chaotic Systems in NiO Thin Films and Fluorescent Human Cells

by
Hilario Martines-Arano
1,
Mónica Araceli Vidales-Hurtado
2,
Samara Palacios-Barreto
3,
Martín Trejo-Valdez
4,
Blanca Estela García-Pérez
3 and
Carlos Torres-Torres
1,*
1
Sección de Estudios de Posgrado e Investigación, Escuela Superior de Ingeniería Mecánica y Eléctrica Unidad Zacatenco, Instituto Politécnico Nacional, 07738 Ciudad de México, Mexico
2
Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada Unidad Querétaro, Instituto Politécnico Nacional, Santiago de Querétaro, 76090 Querétaro, Mexico
3
Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, 11340 Ciudad de México, Mexico
4
Escuela Superior de Ingeniería Química e Industrias Extractivas, Instituto Politécnico Nacional, 07738 Ciudad de México, Mexico
*
Author to whom correspondence should be addressed.
Processes 2020, 8(11), 1377; https://doi.org/10.3390/pr8111377
Submission received: 30 September 2020 / Revised: 24 October 2020 / Accepted: 26 October 2020 / Published: 29 October 2020
(This article belongs to the Special Issue Application of Metal-Based Nanoparticles in Electrochemical Systems)

Abstract

:
A laser ablation process assisted by the feedback of a sensor with chaotic electronic modulation is reported. A synchronous bistable logic circuit was analyzed for switching optical signals in a laser-processing technique. The output of a T-type flip-flop configuration was employed in the photodamage of NiO films. Multiphotonic effects involved in the ablation threshold were evaluated by a vectorial two-wave mixing method. A photoinduced thermal phenomenon was identified as the main physical mechanism responsible for the nonlinearity of index under nanosecond irradiation at 532 nm wavelength. Comparative experiments for destroying highly transparent human cells were carried out. Potential applications for developing hierarchical functions yielding laser-induced controlled explosions with immediate applications for biomedical photothermal processes can be contemplated.

Graphical Abstract

1. Introduction

Recent developments in the field of laser ablation of advanced materials have led to a renewed interest in fascinating applications for device fabrication in nanoelectronics [1], integrated photonics [2], and low-dimensional sensors [3]. Results provided by continuous wave (CW) laser systems compared to pulsed lasers can be enumerated in respect to power or selectivity in their photodamage [4].
CW and ultra-short laser sources present remarkable differences in optical damage [5]. Particularly, potential actions of optical nonlinearities [6], shock waves [7], plasma phenomena [8], or temperature conditions [9] can be responsible for the dynamics of photoenergy transfer exhibited by high-irradiance phenomena. On the other hand, the pulse repetition rate in photodamage can play a crucial role associated with the physical mechanisms of thermal transport in optical materials [10].
On the other hand, the precision in photodamage of bidimensional materials is an attractive topic for tuning their physical and chemical characteristics strongly dependent on size and shape of nanostructures. Thin solid films with characteristics modulated by optical and electrical effects have been pointed out for sensing and instrumentation functions [11]. In this direction, NiO films have reversible changes in optical absorption induced by electric fields [12]. Electrochromic NiO devices can store and display information with a memory effect [13]. Besides, electrical properties exhibited by NiO materials have received considerable attention due to their multifunctional conductivity [14]. The band gap energy of NiO is in the range of 3.6–4 eV, together with high transparency under particular electrical conditions [15]. Some important applications of NiO are represented by catalyst in electrochemical cells [16] or electrode materials for lithium ion batteries [17]. Typically, NiO films in appropriate atmospheres can change their colors as a function of an electric field [18]. Electrochemical energy storage applications of NiO [19] and solar cells [20] are associated with chemical stability and nontoxicity [21].
In order to improve photothermal processing in materials science, diverse optical sensors assisted by self-feedback have been studied [22]. Analog and digital circuits have been extensively explored, taking into account sophisticated algorithms for sensing [23]. With these considerations, it has been indicated the advantage of sensitivity to initial conditions’ functions detected by sensors governed by a chaotic modulation [24].
Despite the fact that a chaotic system is considered as an attractor in state space [25], it is usually hard to determinate its behavior [26]. There are representative examples of 3-D chaotic systems, such as Lorenz [27], Sprott [28], Chen [29], or Rössler [30]. However, recent trends in the Rössler system have indicated a potential progress for engineering medical applications [31]. Moreover, some important implementations for Rössler systems are ultrafast signal processing [32], remote sensing image [33], and transformation of biological DNA sequence [34]. Relevant applications in this direction such as optoelectronic sensing [35], all-optical codification [36], probabilistic [37], telecom [38], and artificial intelligence [39] are based on chaotic models.
Our research question in this work arose by the continuous demand of high accuracy in photodamage techniques. Collateral optical damage derived by heat propagation can be avoided by using a feedback. In this respect, we present in this work the advantages of chaos theory employed in laser ablation processes assisted by sensors. In view of all these motivations, this work was devoted to further investigate chaotically modulated optoelectronic signals for sensing and controlling photodamage induced in NiO thin films exposed to nanosecond laser ablation. A multivibrator circuit was employed for switching the photothermal laser damage of the sample irradiated at a 532 nm wavelength. Alternative experiments of laser ablation were discussed by conducting comparative processes of damage induced by optical irradiation in highly transparent human cells. Potential applications of the proposed technique in material science processing and biomedical laser technology can be envisioned.

2. Materials and Methods

2.1. Synthesis of the NiO Samples

The NiO films were obtained by the ultrasonic spray pyrolysis technique, from an aqueous solution of nickel acetate tetrahydrate 0.05 M mixed with polyethylene glycol, in a 5:1 ratio. ITO-coated glass with sheet resistance of 15–25 ohm (Delta Technologies, Inc., Loveland, CO, USA) was used as substrates. The deposit was made by using an ultrasonic nozzle (Sonaer) operated at 130 kHz. Compressed air (10 psi) was employed to conduct the flow over the substrate, which was maintained at a temperature of 250 °C over a molten tin bath. The nozzle-to-substrate distance was fixed at 8 cm with a flow of 1 mL/min. During spraying, the nozzle was in constant motion in the XY plane, following an “S”-shaped geometry and covering the entire surface of the substrate in a round-trip cycle; 50 cycles were given with intervals of 2 min. The NiO thin films with 110 nm average thickness were selected for carrying out the optical and electrical experiments. Transmission electron microscopy (TEM) studies were undertaken by a JEM-ARM200CF&Gatan Ultrascan 1000XP system. Scanning electron microscopy (SEM) observations were conducted by using a FEG Quanta 3D FEI microscope system in scanning transmission electron microscopy (STEM) mode. Electrochemical impedance spectroscopy measurements were performed in the NiO thin films by an AUTOLAB 302N PGSTAT potentiostat. Three-electrode cells composed by comparative NiO thin film samples of 1 cm2 surface area, an Ag/AgCl electrode [40], and a platinum electrode were employed. A 0.5 M KOH solution was used as a support electrolyte, which, before experimental stage, was previously degassed in an ultrasonic bath for 15 min and bubbled with nitrogen gas for another 10 min. Direct current (DC) voltage was utilized to study the semiconductor–electrolyte interface properties. Spectrophotometric studies were carried out by a Perkin Elmer UV/VIS XLS system. The film samples were analyzed through spectroscopic ellipsometry. We used an uvisel ellipsometer model LT M200AGMS HORIBA brand Jobin Yvon. The sample was placed in the equipment sample holder. We used parameters such as xenon lamp at high pressure of 75 W, 70° as angle of incidence, laser spot of 1200 µm, and a spectral range of 1.5–5.5 eV. Furthermore, spectroscopic ellipsometry used an increase of 0.0500 eV and 81 points; the device was configured to acquire information through reflection method.

2.2. Electronic Sensing of the Sample by Steady-State Rössler Attractors

The Rössler model can be mathematically described by three differential equations [41]:
d x d t = y + z
d y d t = x + a y
d z d t = b + z x + c
where a, b, c and they correspond to positive values and parameters dimensionless [42]. The magnitudes for x, y, and z denote the state variables. We employed the Rössler differential equations that illustrate a continuous-time dynamic with chaotic behavior. Figure 1a represents the Rössler chaotic system as a block diagram, based on Equations (1)–(3). The initial conditions can correspond to a = b = 0.2 and c = 5.7, while x, y, and z are the three variables that evolve with the time [43]. On the other hand, x, y, and z determine the phase space. Equations (1) and (2) have linear terms that create oscillations in the variables x and y. Equation (3) has only one nonlinear term with the chaotic behavior as a function of x and z. The Matlab software together with an electronic card NI USB 6008 in a laptop can be used for generating the electronic modulation with an emerging chaotic behavior. The input for the block z is provided by the sensor testing the sample. This signal is calibrated to satisfy the nonlinear dynamics associated with the solutions obtained for Equations (1)–(3). Any change in the electrical conditions of the explored sample originates instability in the Rössler attractor that corresponds to the electronic sensor.

2.3. Laser Ablation Controlled by a T-Type Flip-Flop with a Steady-State Rössler Attractor as an Input Signal

The second harmonic of a Nd:YAG laser system (Continuum Model SL II) was employed to irradiate the NiO studied samples. In Figure 1b is illustrated the experimental setup. A focused beam of 1 mm diameter and single shots at 532 nm wavelength featuring 4 nanosecond pulse duration were employed in the ablation experiments. The sample under optical irradiation was located in a micrometric mechanical mount with carbon electrodes deposited to detect changes in their electrical conductivity before and after the ablation threshold was achieved during the optical incidence.
Moreover, in order to guarantee a total ablation process of the target, the electrical signals connected to the sample were monitored by sequential correlation, as described in Section 2.2. Initial steady state of the Rössler attractor in these measurements was defined by a 0 logic magnitude. The change from steady state to instability, or the other way round, corresponded to a logic value equal to 1. With these considerations, an electronic circuit with two stable states was proposed for sensing the target. According to the input of the circuit interrogator, a digital output was generated by the assistance of a clock trigger. We selected a T-type flip-flop in our system, regarding that it allows automatic sequential decisions for the ablation process. The T-type flip-flop gives an output by considering the previous state of the sensor. However, the system can dispense with the T-type flip-flop when the ablation is assisted by asynchronous feedback.
The block diagram of the electronically controlled laser ablation system is presented in Figure 2.
The transitions between the present to the next states are ruled by a clock. The clock was emulated by a computer and defined, taking into account the time for exploration of each region of the sample at 1 Hz. The positive logic input of the flip-flop is the digital value assigned to the change between stability and instability in the chaotically modulated electronic signals. The output controls the switching of the laser system irradiating the sample (turned on or turned off). Inputs changing from 0 to 0 or from 1 to 1 do not produce switching of the laser. If the input value goes from 0 to 1, the next state is 1 in the output and the laser signal is turned on. If the input evolves from 1 to 0, the next state turns off the laser signal.

2.4. Nonlinear Optical Absorption Studies by a Vectorial Two-Wave Mixing

A vectorial two-wave mixing technique was used to identify any potential optical nonlinearity that could be a significant contribution in the laser ablation process [43]. Our nanosecond Nd:YAG laser system at 532 nm wavelength was employed as an optical source with 10 mJ of maximum pulse energy and a focused beam waist of 1 mm diameter in the sample. The pump and probe beams presented an irradiance relation of 1:1. The polarization of the probe beam was fixed while the polarization of the pump beam was varied by a half-wave plate. A polarizer with its transmission axis orthogonal to the incident polarization of the probe beam in absence of the pump beam was located behind the sample. In order to explore the vectorial nature of the two-beam interaction, the transmitted probe beam through the polarizer as a function of the relative angle between the linear polarizations of the incident beams was analyzed. The geometric incident angle of each beam in the sample was approximately 15°. An error bar of ±10% in the measurements of irradiance was estimated. For the calibration of the third-order nonlinear optical measurements, a CS2 sample contained in a quartz cuvette with 1 mm thickness was considered. The magnitude of the third-order nonlinear optical susceptibility in the CS2 is |χ(3)| = 1.9 × 10−12 esu [44].
The wave equation was used to represent the propagation of the beams through the samples [44]:
2 E ± = n ± 2 ω 2 c 2 E ±
where, according to the literature, ω is the optical frequency of light and c is the free space of light, whereas the right and left circular components of the electric field are described by E+ and E, respectively. The refractive index can be expressed as [44]:
n ± 2 = n 0 2 + 4 π A E ± 2 + A + B E 2
where A = χ 1122 ( 3 ) and B = χ 1221 ( 3 ) represent the components of the third-order susceptibility tensor, whereas n0 refers to the weak-field refractive index.
The relationship between the nonlinear refractive index, n2, and the nonlinear optical absorption coefficient, β, with χ 3 for a particular wavelength, λ, can be described by [45]:
χ 3 = n 0 c 7.91 × 10 2 n 2 + i n 0 2 c λ π 2 β

2.5. Photothermal Distribution in the Film due to Laser Heat Source

With the intention of estimating the temperature distribution on the film surface, numerical simulations of the temperature calculated by Fourier’s law for multidimensional extension were carried out. We considered the general heat conduction equation [46].
ρ C T t k T = Q
where ρ is the density, C is the heat capacity, k represents the thermal conductivity, Q is the total equivalent heat caused by laser irradiation, and T is the temperature, while t is the time. In a photothermal process, it can be considered the heat conduction equation as [46].
Q x , y = 1 R I 0 α e α
In this case, I 0 represents the optical incident irradiance, R is the reflectance, and α denotes the absorbance coefficient.

3. Results

The film thickness of the samples was analyzed by SEM observations and spectroscopic ellipsometry. According to the ellipsometry analysis, the sample thickness size was estimated to be ∼110 nm. Figure 3a shows a representative image where it is clear that a cross section the NiO film was deposited onto the ITO substrate. In Figure 3b, the thickness of the film can be better visualized by the green lines in the edges.
In order to characterize the electrical response of the sample to design the electrical parameters for implementing the electronic sensor, the electrical impedance of the NiO sample as a function of electrical frequency was recorded. In Figure 4a is plotted the electrochemical impedance measurements in the NiO films. A monotonic decrease in the electrical impedance was present in the spectrum; the higher electric impedance emerged for lower electrical frequencies. This electrical behavior, shown in Figure 4a, is usually displayed by circuits with both resistance and capacitive contributions. The evolution of the electrical current as a function of the electrical potential in the NiO sample in 0.5 M KOH solution can be observed with the DC voltammogram obtained in the NiO thin film and presented in Figure 4b. It is a typical example of current null evolution from +0.7 to −0.45 V vs. Ag/AgCl. This low residual current must result from very low defects on the surface of the film and a high crystallinity degree of phase that composed the NiO film. Once the potential turned toward a cathodic value, a reduction in the data was observed at −0.5 V and their current decreased until the onset. This cathodic onset is generally attributed to the hydrogen evolution, whereas the anodic maximal current that is due to oxidation of film material was observed in our case for potential values higher than 0.7 V.
From Figure 4 it can be deduced that the electrical behavior exhibited by our NiO films is a feature that can be contemplated for enhancing energy storage electrode materials. The capacitive nature of NiO films is due to reversible charge transfer reactions (oxidation-reduction) that occur on their surface, under an applied voltage. In the presence of KOH, as an electrolyte, the reaction that takes place is: NiO → NiOOH + e−. The data plotted in Figure 4b display hysteresis as an inherent electrical characteristic of this NiO film material. The development of faradaic-controlled, supercapacitive, and pseudocapacitive energy storage devices implies the ability to overcome the great challenge of decreasing their degradation that can be induced by corrosion or optical ablation and increasing their cycling stability.
In order to evaluate the optical absorption of the NiO thin film, UV-vis spectroscopy measurements were undertaken. The UV-vis absorbance of the samples is depicted in Figure 5a. The high transparency of the samples can be deduced from the small absorbance in the optical region of the electromagnetic spectrum with strong absorbance in the UV region close to 300 nm. The refractive index of the film was measured by ellipsometry, and n0 = 1.65 was obtained at 532 nm in the wavelength that the ablation process was considered to be in action. Moreover, the participation of multiphotonic effects during the nanosecond pulsed irradiation was evaluated by a vectorial two-wave mixing experiment. Figure 5b shows the transmitted probe irradiance in the two-wave mixing as a function of the angle between the planes of polarization of the probe and pump beams. The magnitude of the third-order nonlinear optical susceptibility in the sample was calculated by a direct comparison with a calibrated CS2 sample. By the best fitting of Equation (4), it can be obtained a |χ(3)| = 2.05 × 10−10 esu. Since only change in polarization and no change in the total transmittance of the probe beam were observed by the influence of the high-irradiance interaction in the sample, it can be stated that the nonlinear optical absorption can be neglected as a physical mechanism of third-order optical nonlinearity. Besides, the identification of B = 0 in the numerical fitting corresponded to an isotropic mechanism responsible for the optical nonlinearity of index [44]. Regarding that a self-defocusing effect was observed in the transmitted beams after the two-wave mixing experiment, a negative sign in n2 was assumed to correspond with the fitting of the nonlinear refraction. Then, we calculated the optical Kerr effect by Equation (6) and we obtained n2 = −1.99 × 10−12 cm2/W, which is in good agreement with comparative z-scan measurements in NiO films [47].
The temperature analysis for the surface of the thin film was estimated by Equations (7) and (8). Representative TEM images in bright field mode acquired in the NiO films were considered for the thermal transfer estimations before the ablation process. Figure 6a illustrates a typical TEM micrograph of the NiO films and Figure 6b depicts the temperature distribution associated with the selected regions of the TEM observations after receiving a single shot by a nanosecond pulse of 532 nm during the irradiation stage. The numerical results suggest that the temperature propagation rate was not uniform on the thin film surface. The photothermal energy transfer in the studied thin film irradiated by the laser source was calculated from the balance of heat transport by means of film and substrate. Evidently, radial heat dissipation within the film plane gave a major contribution because it varied in proportion with film thickness. As a consequence, the temperature depended on the film thickness and became higher for thin films. We considered an extension of approximately 25 nm to perform the simulation.
It is necessary to clarify that numerical simulations represented by Figure 6b correspond to the heat transfer on the surface of a sample, taking into account the conditions of our laser irradiation experiment.
The ablation threshold of the sample was measured by direct incidence of single shots provided by our nanosecond 532 nm pulses during the simultaneous propagation of the electronic modulated signals by the experimental setup described in Figure 1b. Due to the optical irradiation, steady state of the Rössler attractor exploring the sample evolved to instability under the influence of the ablation process during the experiment. Variation in transmittance in the NiO thin films occurred at the beginning of the ablation in the area illuminated, and the proximity with the ablation threshold in the sample did affect directly its electrical stability. The sensing of the ablation threshold was guaranteed as a change in the attractor of the circuit. A small change in the electrical response of the NiO thin film under photodamage caused a change in the attractor. During steady state, the signal recording the electrical response of the sample generated in the system a convergence toward a periodic orbit, around fixed points, or diverging in an escape toward infinity when ablation occurred. Experimental results are shown in Figure 7. The values of I0 and 2I0 correspond to optical irradiances that represent steady state of the NiO sample under nanosecond irradiation at a 532 nm wavelength. Actually, I0 can be calibrated to be just the minimal resolution of the optical detection or the noise and 2I0 is defined in this work as the maximum irradiance in propagation through the sample before the ablation takes place.
It is worth noting that laser intensities below the ablation threshold did not remove bulk mass suitable for micro chemical analysis; however individual atoms or ions may be removed or desorbed from the sample surface. Statistical results related to the ablation threshold measured in different points of the sample resulted in a fluence of 1.09 J/cm2 ± 4%. Considering our nanosecond pulses, 2I0 corresponded to a magnitude below 272 MW/cm2.
The technique was initially validated in a NiO nanofilm with constant conductivity and electrical impedance parameters. Then, we proceeded to study the ablation process, assisted by our sensor in human cells with variable electrical conditions.
To further investigate the potential applications of the sequential photodamage technique proposed in this work, human osteoblasts cells and human B lymphocytes (Raji cells) were selected to be irradiated. Biomarkers incorporated into the biological samples were only present for microscopy observations. In Figure 8a are shown confocal images of the human osteoblasts cells studied. Figure 8b,c shows optical microscopy images of the Raji cells before and after the ablation threshold was achieved.
The nanosecond ablation was statistically measured at 532 nm by single shots in the different cells focused in 1 mm2. A fluence of 1.52 J/cm2 ± 4%, which corresponded to approximately 382 MW/cm2, was determined as the average of the ablation threshold with equivalent absorbance 0.238 for the comparative studied samples. The results related to the identification of the steady state of the samples irradiated and the conditions of ablation are shown in Figure 9.
The cells were integrated in a homogeneous monolayer for the nanosecond ablation experiment. However, for the ablation threshold condition shown in Figure 8c, the incomplete evaporation of the total distribution of cells in the sample should be derived by inherent properties related to the Gaussian beam profile, scattering, and nonlinear energy transfer. In order to guarantee the total evaporation of the studied samples, the procedure described in Section 2.3 was conducted and a train of pulses at 10 Hz during 5 s emitted at the ablation fluence fulfilled the elimination of the cells target.
The rotation of the polarization of the beam in the interaction did not originate significant changes in the ablation threshold within our error bar. However, it is worth noting that the polarization can represent an important influence in photodamage when the ablation is performed by superposition of multipulses that generate interference. Time-resolved, multiwave mixing experiments could be also considered for controlling photothermal effects [43]. Photoinduced nonlinearities can play a key role for cell transport in biological systems, biosensing, and nanophotonic devices [48]. It has been previously reported that extraction of particular electromagnetic conditions governed by ultrafast functions is mandatory for designing real-time applications [49]. Regulation of nonlinear optical effects is fundamental in quantum experiments [50], and chaotic attractor signals could be also considered for developing multiphotonic devices. The challenge of optical damage by non-invasive techniques is still in progress and it can be considered the monitoring by chaos algorithms in sensors. Chaotic synchronization of Rössler circuits for sensing has major advantages in analysis of multidirectional energy transfer [51]. Immediate applications of chaos theory in the development of sensors for photothermal therapy and laser treatments can be considered. Herein, we reported that photoinduced processes monitored by chaotic attractors should be highlighted as a solid base for developing highly sensitive sensors.

4. Conclusions

Chaotic Rössler attractors employed in laser ablation processes assisted by sensors are presented. Controlled activation of laser ablation effects induced by photothermal and sequential logic functions were analyzed. Electrical, thermal, and the optical Kerr effects at 532 nm with nanosecond pulses in the NiO films were evaluated. Significant changes in the irradiation dynamics contemplated for thermal studies in the NiO samples were promoted by a self-defocusing effect identified by a polarization-resolved, two-wave mixing. Within this work it was demonstrated that chaotically modulated optoelectronic signals sensitive to irradiation-, polarization-, or wavelength-varying effects in biomarked cells can be a base for designing photothermal actions.

Author Contributions

H.M.-A. carried out chaotic evaluations and nonlinear optical experiments; M.A.V.-H. prepared and designed the NiO films; S.P.-B. participated in the preparation of the conditions for measuring the biological samples; M.T.-V. contributed in the electrochemical impedance measurements; B.E.G.-P. was responsible for the biological samples and confocal microscopy analysis; and C.T.-T. elucidated and analyzed the paper from nonlinear experiments involving photodamage and ablation in NiO thin films and biological cells. The manuscript was written through the contribution of all authors. All authors have read and agreed to the published version of the manuscript.

Funding

The authors kindly acknowledge the financial support from the Instituto Politécnico Nacional, Comisión de Operación y Fomento de Actividades Académicas del Instituto Politécnico Nacional (COFAA-IPN), and Consejo Nacional de Ciencia y Tecnología (grant CB-2015-251201). The authors are also thankful to the Central Microscopy facilities of the Centro de Nanociencias y Nano y Micro Nanotecnologías del Instituto Politécnico Nacional (CNMN-IPN).

Acknowledgments

The authors kindly acknowledge the financial support from the Instituto Politécnico Nacional, COFAA-IPN, and Consejo Nacional de Ciencia y Tecnología. The authors are also thankful to the Central Microscopy facilities of the Centro de Nanociencias y Micro y Nanotecnologías del Instituto Politécnico Nacional.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. He, Y.; Zhang, J.; Singh, S.; Garcell, E.; Vorobyev, A.Y.; Lam, B.; Zhan, Z.; Yang, J.; Guo, C. Maskless laser nano-lithography of glass through sequential activation of multi-threshold ablation. Appl. Phys. Lett. 2019, 114, 133107. [Google Scholar] [CrossRef] [Green Version]
  2. Hua, J.G.; Ren, H.; Jia, A.; Tian, Z.N.; Wang, L.; Juodkazis, S.; Chen, Q.D.; Sun, H.B. Convex silica microlens arrays via femtosecond laser writing. Opt. Lett. 2020, 45, 636–639. [Google Scholar] [CrossRef] [PubMed]
  3. Jalil, S.A.; Lai, B.; ElKabbash, M.; Zhang, J.; Garcell, E.M.; Singh, S.; Guo, C. Spectral absorption control of femtosecond laser-treated metals and application in solar-thermal devices. Light Sci. Appl. 2020, 9, 14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Zhou, L.; Jiang, Y.; Zhang, P.; Wei, H.; Fan, W.; Li, X.; Zhu, J. Numerical and Experimental Investigation of Morphological Modification on Fused Silica Using CO2 Laser Ablation. Materials 2019, 12, 4109. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Müller, D.W.; Fox, T.; Grützmacher, P.G.; Suarez, S.; Mücklich, F. Applying Ultrashort Pulsed Direct Laser Interference Patterning for Functional Surfaces. Sci. Rep. 2020, 10, 3647. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Garcia-Lechuga, M.; Utéza, O.; Sanner, N.; Grojo, D. Evidencing the nonlinearity independence of resolution in femtosecond laser ablation. Opt. Lett. 2020, 45, 952–955. [Google Scholar] [CrossRef]
  7. Huang, F.; Lei, M.; Wang, J.; Chen, D.; Gao, T.; Wang, X. Sound waves generated by nanosecond and femtosecond laser ablation on different metals. Optik 2019, 178, 1131–1136. [Google Scholar] [CrossRef]
  8. Zhang, D.; Wu, J.; Chen, Z.; Lu, Y.; Shi, H.; Wang, G.; Xiao, D.; Ding, N.; Li, X.; Jia, S.; et al. Plasma formation and ablation dynamics of stainless steel cylindrical liner. Phys. Plasmas 2020, 27, 62709. [Google Scholar] [CrossRef]
  9. Zhao, J.; Zhu, Z.; Xu, Y.; Song, X.; Wang, Y.; Peng, H.; Wang, Y.; Zuo, J.; Shu, X.; Yin, A. Nanosecond Laser Ablation of Ti-6Al-4V under Different Temperature. Appl. Sci. 2020, 10, 4657. [Google Scholar] [CrossRef]
  10. Takahashi, T.; Tani, S.; Kuroda, R.; Kobayashi, Y. Precision measurement of ablation thresholds with variable pulse duration laser. Appl. Phys. A 2020, 126, 582. [Google Scholar] [CrossRef]
  11. Parimon, N.; Mamat, M.H.; Shameem Banu, I.B.; Vasimalai, N.; Ahmad, M.K.; Suriani, A.B.; Mohamed, A.; Rusop, M. Fabrication, structural, optical, electrical, and humidity sensing characteristics of hierarchical NiO nanosheet/nanoball-flower-like structure films. J. Mater. Sci. Mater. Electron. 2020, 31, 11673–11687. [Google Scholar] [CrossRef]
  12. Wu, W.; Wang, M.; Ma, J.; Cao, Y.; Deng, Y. Electrochromic Metal Oxides: Recent Progress and Prospect. Adv. Electron. Mater. 2018, 4, 1800185. [Google Scholar] [CrossRef]
  13. Banerjee, W. Challenges and Applications of Emerging Nonvolatile Memory Devices. Electronics 2020, 9, 1029. [Google Scholar] [CrossRef]
  14. Diao, C.C.; Huang, C.Y.; Yang, C.F.; Wu, C.C. Morphological, Optical, and Electrical Properties of p-Type Nickel Oxide Thin Films by Nonvacuum Deposition. Nanomaterials 2020, 10, 636. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Al-Ghamdi, A.A.; Abdel-wahab, M.S.; Farghali, A.A.; Hasan, P.M.Z. Structural, optical and photo-catalytic activity of nanocrystalline NiO thin films. Mater. Res. Bull. 2016, 75, 71–77. [Google Scholar] [CrossRef]
  16. Amin, R.S.; Hameed, R.M.A.; El-Khatib, K.M.; Youssef, M.E.; Elzatahry, A.A. Pt-NiO/C anode electrocatalysts for direct methanol fuel cells. Electrochim. Acta 2012, 59, 499–508. [Google Scholar] [CrossRef]
  17. Varghese, B.; Reddy, M.V.; Yanwu, Z.; Lit, C.S.; Hoong, T.C.; Subba Rao, G.V.; Chowdari, B.V.R.; Wee, A.T.S.; Lim, C.T.; Sow, C.H. Fabrication of NiO nanowallelectrodes for high performance lithium ion battery. Chem. Mater. 2008, 20, 3360–3367. [Google Scholar] [CrossRef]
  18. Ren, Y.; Chim, W.K.; Guo, L.; Tanoto, H.; Pan, J.; Chiam, S.Y. The coloration anddegradation mechanisms of electrochromic nickel oxide. Sol. Energy Mater. Sol. Cells 2013, 116, 83–88. [Google Scholar] [CrossRef]
  19. Zhang, X.; Shi, W.; Zhu, J.; Zhao, W.; Ma, J.; Mhaisalkar, S.; Maria, T.L.; Yang, Y.; Zhang, H.; Hng, H.H.; et al. Synthesis of porous NiO nanocrystals with controllable surface area and their application as supercapacitor electrodes. Nano Res. 2010, 3, 643–652. [Google Scholar] [CrossRef] [Green Version]
  20. Irwin, M.D.; Buchholz, D.B.; Hains, A.W.; Chang, R.P.H.; Marks, T.J. P-Type semiconducting nickel oxide as an efficiency-enhancing anode interfaciallayer in polymer bulk-heterojunction solar cells. Proc. Natl. Acad. Sci. USA 2008, 105, 2783–2787. [Google Scholar] [CrossRef] [Green Version]
  21. Liu, B.; Yang, H.; Zhao, H.; An, L.; Zhang, L.; Shi, R.; Wang, L.; Bao, L.; Chen, Y. Synthesis and enhanced gas-sensing properties of ultralong NiO nanowires assembled with NiO nanocrystals. Sens. Actuators B 2011, 156, 251–262. [Google Scholar] [CrossRef]
  22. Ying, K.; Liang, H.; Chen, D.; Sun, Y.; Pi, H.; Wei, F.; Yang, F.; Cai, H. Ultralow noise DFB fiber laser with self-feedback mechanics utilizing the inherent photothermal effect. Opt. Express 2020, 28, 23717–23727. [Google Scholar] [CrossRef] [PubMed]
  23. Zangeneh-Nejad, F.; Fleury, R. Topological analog signal processing. Nat. Commun. 2019, 10, 2058. [Google Scholar] [CrossRef]
  24. Martines-Arano, H.; García-Pérez, B.E.; Vidales-Hurtado, M.A.; Trejo-Valdez, M.; Hernández-Gómez, L.H.; Torres-Torres, C. Chaotic Signatures Exhibited by Plasmonic Effects in Au Nanoparticles with Cells. Sensors 2019, 19, 4728. [Google Scholar] [CrossRef] [Green Version]
  25. Rosalie, M. Templates and subtemplates of Rössler attractors from a bifurcation diagram. J. Phys. A Math. Theor. 2016, 49, 315101. [Google Scholar] [CrossRef]
  26. Wang, B.; Zou, F.C.; Cheng, J. A memristor-based chaotic system and its application in image encryption. Optik 2018, 154, 538–544. [Google Scholar] [CrossRef]
  27. Lorenz, E.N. Deterministic Nonperiodic Flow. J. Atmos. Sci. 1963, 20, 130. [Google Scholar] [CrossRef] [Green Version]
  28. Sprott, J.C. Some simple chaotic flows. Phys. Rev. 1994, 50, 647. [Google Scholar] [CrossRef] [PubMed]
  29. Chen, G.; Ueda, T. Yet Another Chaotic Attractor. Int. J. Bifurcat. Chaos 1963, 9, 1465. [Google Scholar] [CrossRef]
  30. Rössler, O.E. An equation for continuous chaos. Phys. Lett. A 1976, 57, 397. [Google Scholar] [CrossRef]
  31. Shekhar, S.C.; Gary, R.; Jin, J.; Mingyan, L.; Andrew, M.K.; Imants, D.S.; Stuart, C. Chaotic Sensing. IEEE Trans. Image Process. 2018, 27, 12. [Google Scholar]
  32. Naruse, M.; Terashima, Y.; Uchida, A.; Kim, S.J. Ultrafast photonic reinforcement learning based on laser chaos. Sci. Rep. 2017, 7, 8772. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Ye, G.; Huang, X. A novel block chaotic encryption scheme for remote sensing image. Multimed. Tools Appl. 2016, 75, 11433. [Google Scholar] [CrossRef]
  34. Huang, X.; Ye, G. An image encryption algorithm based on hyper-chaos and DNA sequence. Multimed. Tools Appl. 2014, 72, 57–70. [Google Scholar] [CrossRef]
  35. Chang, C.Y.; Choi, D.; Locquet, A.; Wishon, M.J.; Merghem, K.; Ramdane, A.; Lelarge, F.; Martinez, A.; Citrin, D.S. A multi-GHz chaotic optoelectronic oscillator based on laser terminal voltage. Appl. Phys. Lett. 2016, 108, 191109. [Google Scholar] [CrossRef] [Green Version]
  36. Liu, Y.; Tang, J.; Xie, T. Cryptanalyzing a RGB image encryption algorithm based on DNA encoding and chaos map. Opt. Laser Technol. 2014, 60, 111–115. [Google Scholar] [CrossRef] [Green Version]
  37. González-Salas, J.S.; Shbat, M.S.; Ordaz-Salazar, F.C.; Simón, J. Analyzing Chaos Systems and Fine Spectrum Sensing Using Detrended Fluctuation Analysis Algorithm. Math. Probl. Eng. 2016, 18, 2865195. [Google Scholar] [CrossRef] [Green Version]
  38. Xi, T.; Zheng-Mao, W.; Jia-Gui, W.; Tao, D.; Jian-Jun, C.; Li, F.; Zhu-Qiang, Z.; Guang-Qiong, X. Tbits/s physical random bit generation based on mutually coupled semiconductor laser chaotic entropy source. Opt. Express 2015, 23, 33130–33141. [Google Scholar]
  39. Bueno, J.; Maktoobi, S.; Froehly, L.; Fischer, I.; Jacquot, M.; Larger, L.; Brunner, D. Reinforcement learning in a large-scale photonic recurrent neural network. Optica 2018, 5, 756–760. [Google Scholar] [CrossRef] [Green Version]
  40. Bentley, C.L.; Perry, D.; Unwin, P.R. Stability and Placement of Ag/AgCl Quasi-Reference Counter Electrodes in Confined Electrochemical Cells. Anal. Chem. 2018, 90, 7700–7707. [Google Scholar] [CrossRef] [Green Version]
  41. Bell, J.G. Nonlinear Instabilities in Chemical and Electrochemical Systems. Ph.D. Thesis, University of Windsor, Windsor, ON, Canada, 2017. [Google Scholar]
  42. Ibrahim, K.M.; Jamal, R.K.; Ali, F.H. Chaotic behaviour of the Rossler model and its analysis by using bifurcations of limit cycles and chaotic attractors. J. Phys. Conf. Ser. 2018, 1003, 12099. [Google Scholar] [CrossRef] [Green Version]
  43. Hernández-Acosta, M.A.; Martines-Arano, H.; Soto-Ruvalcaba, L.; Martínez-González, C.L.; Martínez-Gutiérrez, H.; Torres-Torres, C. Fractional thermal transport and twisted light induced by an optical two-wave mixing in single-wall carbon nanotubes. Int. J. Therm. Sci. 2020, 147, 106136. [Google Scholar] [CrossRef]
  44. Boyd, R.W. Nonlinear Optics; Academic Press: Cambridge, MA, USA, 1992. [Google Scholar]
  45. Sheik-Bahae, M.; Said, A.A.; Wei, T.; Hagan, D.J.; Stryland, E.W.V. Sensitive measurement of optical nonlinearities using a single beam. IEEE J. Quantum Electron. 1990, 26, 760. [Google Scholar] [CrossRef] [Green Version]
  46. Lee, H.E.; Kim, S.; Ko, J.; Yeom, H.I.; Byun, C.W.; Lee, S.H.; Joe, D.J.; Im, T.H.; Park, S.H.K.; Lee, K.J. Skin-Like Oxide Thin-Film Transistors for Transparent Displays. Adv. Funct. Mater. 2016, 26, 6170–6178. [Google Scholar] [CrossRef]
  47. De Melo, R.P., Jr.; da Silva, B.J.P.; dos Santos, F.E.P.; Azevedo, A.; de Araújo, C.B. Nonlinear refraction properties of nickel oxide thin films at 800 nm. J. Appl. Phys. 2009, 106, 93517. [Google Scholar] [CrossRef]
  48. Cesca, T.; Michieli, N.; Kalinic, B.; Balasa, I.G.; Rangel-Rojo, R.; Reyes-Esqueda, J.A.; Mattei, G. Bidimensional ordered plasmonic nanoarrays for nonlinear optics, nanophotonics and biosensing applications. Mat. Sci. Semicond. Proc. 2019, 92, 2–9. [Google Scholar] [CrossRef]
  49. Torres-Torres, R. Extracting characteristic impedance in low-loss substrates. Electron. Lett. 2011, 47, 191–193. [Google Scholar] [CrossRef]
  50. Hernández-Acosta, M.A.; Trejo-Valdez, M.; Castro-Chacón, J.H.; Torres-SanMiguel, C.R.; Martínez-Gutiérrez, H.; Torres-Torres, C. Chaotic signatures of photoconductive Cu2ZnSnS4 nanostructures explored by Lorenz attractors. N. J. Phys. 2018, 20, 23048. [Google Scholar] [CrossRef]
  51. Sambas, A.; Sanjaya, M.; Mamat, M.; Halimatussaiyah, W.S. Design and Analysis Bidirectional Chaotic Synchronization of Rossler Circuit and Its Application for Secure Communication. App. Math. Sci. 2013, 1, 11–21. [Google Scholar] [CrossRef]
Figure 1. (a) Experimental procedure block diagram for implementing a Rössler attractor system. (b) Schematic illustration of the laser ablation experiment controlled by a T-type flip-flop with a steady-state Rössler attractor as an input signal.
Figure 1. (a) Experimental procedure block diagram for implementing a Rössler attractor system. (b) Schematic illustration of the laser ablation experiment controlled by a T-type flip-flop with a steady-state Rössler attractor as an input signal.
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Figure 2. (a) Procedure diagram for fulfilling a complete laser ablation process controlled by a T-type flip-flop with a steady-state Rössler attractor as an input signal. (b) Chronogram showing the logic digital response during the evolution of laser ablation of the region irradiated. The input is provided by the optoelectronic sensor with chaotic modulation. The clock signal is strobed by a descendent edge trigger in order to avoid metastability.
Figure 2. (a) Procedure diagram for fulfilling a complete laser ablation process controlled by a T-type flip-flop with a steady-state Rössler attractor as an input signal. (b) Chronogram showing the logic digital response during the evolution of laser ablation of the region irradiated. The input is provided by the optoelectronic sensor with chaotic modulation. The clock signal is strobed by a descendent edge trigger in order to avoid metastability.
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Figure 3. (a) Representative SEM image of the studied NiO thin film. (b) Amplification of (a) with green lines describing the thickness of the film.
Figure 3. (a) Representative SEM image of the studied NiO thin film. (b) Amplification of (a) with green lines describing the thickness of the film.
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Figure 4. (a) Electrochemical impedance spectrum of the NiO film. (b) Direct current (DC) cyclic voltammetry of a NiO film in 0.5 M KOH solution. The starting potential was 0 V, upper potential was +1 V, lower potential was −1 V, and the applied scan rate was 10 mV/s.
Figure 4. (a) Electrochemical impedance spectrum of the NiO film. (b) Direct current (DC) cyclic voltammetry of a NiO film in 0.5 M KOH solution. The starting potential was 0 V, upper potential was +1 V, lower potential was −1 V, and the applied scan rate was 10 mV/s.
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Figure 5. (a) UV-vis absorbance of the NiO thin films. (b) Nanosecond transmitted probe irradiance as a function of the relative angle of polarization between the incident beams at a 532 nm in the NiO thin film.
Figure 5. (a) UV-vis absorbance of the NiO thin films. (b) Nanosecond transmitted probe irradiance as a function of the relative angle of polarization between the incident beams at a 532 nm in the NiO thin film.
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Figure 6. Micrograph images of a thin, solid film sample studied, showing the surface in bright color. (a) TEM micrograph image before the ablation takes place. (b) Heat distribution (numerical simulation) over a small area interacting with the nanosecond single beam at 532 nm.
Figure 6. Micrograph images of a thin, solid film sample studied, showing the surface in bright color. (a) TEM micrograph image before the ablation takes place. (b) Heat distribution (numerical simulation) over a small area interacting with the nanosecond single beam at 532 nm.
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Figure 7. Experimental data obtained by chaotic modulation in conductivity measurements. The data in black show a plot with unstable behavior, due to the ablation threshold reached in the NiO sample during optical irradiation by nanosecond pulses at 532 nm wavelength.
Figure 7. Experimental data obtained by chaotic modulation in conductivity measurements. The data in black show a plot with unstable behavior, due to the ablation threshold reached in the NiO sample during optical irradiation by nanosecond pulses at 532 nm wavelength.
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Figure 8. (a) Confocal image of the human osteoblasts cells studied. The red fluorescence was provided in actin cytoskeleton by rhodamine-phalloidin, while cells nuclei stained by DAPI were detected in blue emission. (b) Optical micrograph of the Raji cells studied before laser ablation. (c) Raji cells after laser ablation threshold.
Figure 8. (a) Confocal image of the human osteoblasts cells studied. The red fluorescence was provided in actin cytoskeleton by rhodamine-phalloidin, while cells nuclei stained by DAPI were detected in blue emission. (b) Optical micrograph of the Raji cells studied before laser ablation. (c) Raji cells after laser ablation threshold.
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Figure 9. Typical experimental data obtained by chaotic modulation in conductivity measurements. The data in black show a plot with instable behavior, due to the ablation threshold reached in the osteoblast cells during optical irradiation by nanosecond pulses at 532 nm wavelength. Similar results were obtained for the Raji cells, marking the importance of the absorbance of the samples for reproducibility of the results.
Figure 9. Typical experimental data obtained by chaotic modulation in conductivity measurements. The data in black show a plot with instable behavior, due to the ablation threshold reached in the osteoblast cells during optical irradiation by nanosecond pulses at 532 nm wavelength. Similar results were obtained for the Raji cells, marking the importance of the absorbance of the samples for reproducibility of the results.
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Martines-Arano, H.; Vidales-Hurtado, M.A.; Palacios-Barreto, S.; Trejo-Valdez, M.; García-Pérez, B.E.; Torres-Torres, C. Sequential Photodamage Driven by Chaotic Systems in NiO Thin Films and Fluorescent Human Cells. Processes 2020, 8, 1377. https://doi.org/10.3390/pr8111377

AMA Style

Martines-Arano H, Vidales-Hurtado MA, Palacios-Barreto S, Trejo-Valdez M, García-Pérez BE, Torres-Torres C. Sequential Photodamage Driven by Chaotic Systems in NiO Thin Films and Fluorescent Human Cells. Processes. 2020; 8(11):1377. https://doi.org/10.3390/pr8111377

Chicago/Turabian Style

Martines-Arano, Hilario, Mónica Araceli Vidales-Hurtado, Samara Palacios-Barreto, Martín Trejo-Valdez, Blanca Estela García-Pérez, and Carlos Torres-Torres. 2020. "Sequential Photodamage Driven by Chaotic Systems in NiO Thin Films and Fluorescent Human Cells" Processes 8, no. 11: 1377. https://doi.org/10.3390/pr8111377

APA Style

Martines-Arano, H., Vidales-Hurtado, M. A., Palacios-Barreto, S., Trejo-Valdez, M., García-Pérez, B. E., & Torres-Torres, C. (2020). Sequential Photodamage Driven by Chaotic Systems in NiO Thin Films and Fluorescent Human Cells. Processes, 8(11), 1377. https://doi.org/10.3390/pr8111377

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