Optical Addressing Electronic Tongue Based on Low Selective Photovoltaic Transducer with Nanoporous Silicon Layer

Litvinenko, S. V.; Bielobrov, D.; Lysenko, V.; Skryshevsky, V. A.

doi:10.1186/s11671-016-1589-0

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…Some part of its area was covered with thin (up to 100 nm) SiN film stripes in order to study the selectivity of the sensor response under conditions of the artificially created inhomogeneity (see the inset in Fig. 5) [19,20]. As a result, the analyte was in contact with both the silicon surface and SiN stripes.…”

Section: Model Of a Sensor Structure Based On The Silicon --Junctionmentioning

confidence: 99%

Physical Properties of Silicon Sensor Structures with Photoelectric Transformation on the Basis of “Deep” p–n-Junction

2017

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A capability to produce effective sensor structures on the basis of "deep"silicon junction has been substantiated. If the incident light is strongly absorbed by this junction, the photocurrent through it is shown to substantially depend on the recombination characteristics and the charge state of the illuminated surface, provided that the junction parameters are optimal. The depth of the illuminated region is demonstrated to exceed the diffusion length of minority charge carriers. It is found that the larger diffusion length of minority charge carriers corresponds to stronger changes of the photocurrent generated by the illuminated surface area. A possibility to transform the junction from a photodetector into an effective chemical sensor is verified by numerical calculations. The physical mechanisms relating the changes in the effective surface recombination rate and the absorption of polar molecules are discussed. The sensor properties of suggested silicon junctions are analyzed for a number of analytes. Their suitability for the creation of selective chemical sensors (electronic noses) is demonstrated experimentally.

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Section: Model Of a Sensor Structure Based On The Silicon --Junctionmentioning

confidence: 99%

Physical Properties of Silicon Sensor Structures with Photoelectric Transformation on the Basis of “Deep” p–n-Junction

2017

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“…Rather than giving exact concentrations of individual species, electronic tongue tends to combine signals from non-specific sensors with pattern recognition routines [ 15 , 16 , 17 ]. Various techniques have been adopted to acquire information, such as potentiometry [ 18 ], voltammetry [ 19 , 20 , 21 ], surface acoustic waves [ 22 ], or optical chemistry [ 23 ]. In the collected data, structure and correlation can be built using multivariate methods or artificial neural nets (ANN) [ 16 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

Classification-Based Evaluation of Multi-Ingredient Dish Using Graphene-Modified Interdigital Electrodes

Zhu,

Xu,

Liu

et al. 2023

Micromachines

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A taste sensor with global selectivity can be used to discriminate taste of foods and provide evaluations. Interfaces that could interact with broad food ingredients are beneficial for data collection. Here, we prepared electrochemically reduced graphene oxide (ERGO)-modified interdigital electrodes. The interfaces of modified electrodes showed good sensitivity towards cooking condiments in mixed multi-ingredients solutions under electrochemical impedance spectroscopy (EIS). A database of EIS of cooking condiments was established. Based on the principal component analysis (PCA), subsets of three taste dimensions were classified, which could distinguish an unknown dish from a standard dish. Further, we demonstrated the effectiveness of the electrodes on a typical dish of scrambled eggs with tomato. Our kind of electronic tongue did not measure the quantitation of each ingredient, instead relying on the database and classification algorithm. This method is facile and offers a universal approach to simultaneously identifying multiple ingredients.

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“…An interesting example is the field of Si sensors. Multiple applications of the PS in sensors technology are mainly based on significant electrical or optical properties changes [2, 3] due to the adsorption of the molecules for gas, humidity, biological sensing, and others [4]. …”

Section: Introductionmentioning

confidence: 99%

Impact of Water Adsorption on Nonlinear Optical Properties of Functionalized Porous Silicon

et al. 2017

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The porous silicon (PS) surface modification diagnostics due to functionalization and water adsorption/desorption processes were provided by the self-action effects of picosecond range pulsed laser radiation at 1064 nm. It was shown that the PS surface functionalization—oxide removal, alkylation, and oxidation—resulted in a refractive nonlinear optical (NLO) response sign turn to self-focusing (Δn>0) versus the self-defocusing (Δn<0) observed in the aged PS. The sensitivity of the proposed technique was revealed to water adsorption/desorption from the chemically oxidized PS interface. For the dried PS, the self-defocusing effect with corresponding NLO cubic susceptibility Re(χ (3))∼−4.7·10−9 esu was observed versus the self-focusing one (∼5·10−8 esu) for the PS positioned in saturated water vapor at room temperature. The obtained results demonstrate high sensitivity and wide versatility of the proposed readout technique based on pulsed laser radiation self-action at 1064 nm to the PS surface modification monitoring/diagnostics applications.

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Optical Addressing Electronic Tongue Based on Low Selective Photovoltaic Transducer with Nanoporous Silicon Layer

Cited by 5 publications

References 16 publications

Physical Properties of Silicon Sensor Structures with Photoelectric Transformation on the Basis of “Deep” p–n-Junction

Physical Properties of Silicon Sensor Structures with Photoelectric Transformation on the Basis of “Deep” p–n-Junction

Classification-Based Evaluation of Multi-Ingredient Dish Using Graphene-Modified Interdigital Electrodes

Impact of Water Adsorption on Nonlinear Optical Properties of Functionalized Porous Silicon

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