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Chemosensors
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Electrochemical Sensor Array for Food Detection and Human Perception
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Electrochemical Sensor Array for Food Detection and Human Perception

A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Electrochemical Devices and Sensors".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 4087

Special Issue Editors

Prof. Dr. Jingjing Liu

E-Mail Website
Guest Editor
School of Automation Engineering, Northeast Electric Power University, Jilin, China
Interests: machine perception of taste, vision, and touch; brainlike intelligence and precision metrological instrument
Prof. Dr. Zhenbo Wei

E-Mail Website
Guest Editor
Department of Biosystems Engineering, Zhejiang University, Hangzhou 310058, China
Interests: nanocomposites; modified electrode; pattern recognition; intelligent flavor sensing system; food quality detection
Special Issues, Collections and Topics in MDPI journals
Dr. Shui Jiang

E-Mail Website
Guest Editor
School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai, China
Interests: application of intelligent sensory technology on the food flavor evaluation; analysis methods of meat quality based on sensory evaluation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Electrochemical sensor array can determine the composition and content of target analytes, based on the electrochemical properties of specific substances in the detected object, and has the advantages of low cost, high precision, and fast detection speed, especially as the array form can provide non-specific cross-sensitive composite information. Combined with the effective data processing processes, it can help to obtain the overall information that describes the detection object and the decoding information of specific substances. This Special Issue aims to discuss research on electrochemical sensor arrays in food applications and in the simulation of human intellisense functions. Research papers on the development of both new electrochemical sensor arrays based on food detection applications and various electrochemical sensors related to human perception functions, as well as information decoding, deep data mining, portable devices, etc., are all welcome. Its purpose is to seek innovative electrochemical sensor arrays, attain more accurate and clear data descriptions, and develop more data processing methods on the comprehensive information analysis and intelligent perception evaluation of electrochemical sensor arrays. Potential topics include, but are not limited to, the following:

  • The development of electrochemical sensor arrays;
  • Intelligent sensory evaluation;
  • The analysis and processing of complex taste and smell signals in food;
  • The machine perception and evaluation of sensor arrays;
  • The development of human perception analysis system

Prof. Dr. Jingjing Liu
Prof. Dr. Zhenbo Wei
Dr. Shui Jiang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Chemosensors is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • the development of electrochemical sensor arrays
  • intelligent sensory evaluation
  • the analysis and processing of complex taste and smell signals in food
  • the machine perception and evaluation of sensor arrays
  • the development of human perception analysis system

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Published Papers (2 papers)

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15 pages, 4134 KiB  
Article
Research on the Evaluation of Baijiu Flavor Quality Based on Intelligent Sensory Technology Combined with Machine Learning
by Aliya, Shi Liu, Danni Zhang, Yufa Cao, Jinyuan Sun, Shui Jiang and Yuan Liu
Chemosensors 2024, 12(7), 125; https://doi.org/10.3390/chemosensors12070125 - 3 Jul 2024
Viewed by 1865
Abstract
Baijiu, one of the world’s six major distilled spirits, has an extremely rich flavor profile, which increases the complexity of its flavor quality evaluation. This study employed an electronic nose (E-nose) and electronic tongue (E-tongue) to detect 42 types of strong-aroma Baijiu. Linear [...] Read more.
Baijiu, one of the world’s six major distilled spirits, has an extremely rich flavor profile, which increases the complexity of its flavor quality evaluation. This study employed an electronic nose (E-nose) and electronic tongue (E-tongue) to detect 42 types of strong-aroma Baijiu. Linear discriminant analysis (LDA) was performed based on the different production origins, alcohol content, and grades. Twelve trained Baijiu evaluators participated in the quantitative descriptive analysis (QDA) of the Baijiu samples. By integrating characteristic values from the intelligent sensory detection data and combining them with the human sensory evaluation results, machine learning was used to establish a multi-submodel-based flavor quality prediction model and classification model for Baijiu. The results showed that different Baijiu samples could be well distinguished, with a prediction model R2 of 0.9994 and classification model accuracy of 100%. This study provides support for the establishment of a flavor quality evaluation system for Baijiu. Full article
(This article belongs to the Special Issue Electrochemical Sensor Array for Food Detection and Human Perception)
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Review

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20 pages, 3791 KiB  
Review
Research Progress of Taste Biosensors in Simulating Taste Transduction Mechanism
by Jingjing Liu, Jiale Kuang, Yan Zhang, Yizhou Chen, Shikun Liu, Yanfeng Li, Lixin Qiao, Zhenbo Wei, Shui Jiang and Jie Meng
Chemosensors 2024, 12(9), 189; https://doi.org/10.3390/chemosensors12090189 - 14 Sep 2024
Viewed by 1572
Abstract
The simulation of human sensory functions is a key trend in the field of sensor development. In taste sensing, taste biosensors emulate taste perception using biorecognition elements that participate in taste transduction, such as taste receptors, cells, tissues, etc. This approach obtains high [...] Read more.
The simulation of human sensory functions is a key trend in the field of sensor development. In taste sensing, taste biosensors emulate taste perception using biorecognition elements that participate in taste transduction, such as taste receptors, cells, tissues, etc. This approach obtains high selectivity and a wide detection range of human taste perception, making taste biosensors widely used in food analysis and taste perception studies. By combining biorecognition elements with suitable data processing and analysis techniques, the taste information generated during the process of taste transduction, obtained by the sensing elements of the sensor, can be accurately captured. In this paper, we explore current available solutions to stability and sensitivity, and other challenges in taste biosensors using taste receptors, cells, and tissues as sensing elements. We also outline the applied signal processing techniques based on the signal characteristics from different types of taste biosensors. Finally, it is proposed that the development of taste biosensing sensors will further promote the application of intelligent sensory evaluation and human perception analysis systems in food, medicine, and other fields. Full article
(This article belongs to the Special Issue Electrochemical Sensor Array for Food Detection and Human Perception)
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