Low-Cost Chemosenors for Applications in Environment, Health, Food, and Industry Process Control

A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Applied Chemical Sensors".

Deadline for manuscript submissions: 15 September 2024 | Viewed by 813

Special Issue Editor

School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: sensors; food analysis; proteomics; nontargeted detection; chemometrics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Low-cost sensing refers to the use of affordable sensors to detect and measure the presence of chemicals. These sensors can be used in a wide variety of applications, including environmental monitoring, healthcare, food quality and safety, and industrial process control. Low-cost sensing technologies include, but are not limited to, the following: gas sensors in applications such as air quality monitoring, leak detection in industrial settings, or breath analysis in medical diagnostics; pH sensors used from water quality testing to food and beverage production; biosensors that use enzymes or antibodies to detect specific chemical compounds in medical diagnostics; colorimetric sensors that respond to a specific chemical reaction for integrated test kits; electronic noses with an array of chemical sensors to mimic the function of the human nose, identifying complex smells and tastes for food quality control or disease diagnosis.

Low-cost sensing can democratize access to important data and enable more widespread monitoring of chemical substances. However, like other low-cost sensing technologies, they may have limitations in terms of their accuracy, sensitivity, and selectivity compared to more expensive, laboratory-grade instruments. To overcome such disadvantages, recent developments in low-cost sensing have been driven by advances in materials science, nanotechnology, and information technologies, with key trends such as nanomaterials, printed electronics, paper-based sensors, wearable devices, the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) making sensing more accessible, affordable, and effective, opening up new possibilities for monitoring and managing chemical substances in commercial products, the environment, and our bodies.

This Special Issue will encompass original research and reviews to benefit interested readers with knowledge of the state-of-the-art in low-cost sensing.

You may choose our Joint Special Issue in Sensors.

Dr. Weiying Lu
Guest Editor

Manuscript Submission Information

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Keywords

  • low-cost
  • chemosensors
  • sensors
  • food analysis
  • gas sensor
  • pH sensor
  • medical diagnostics
  • colorimetric sensors
  • electronic nose
  • healthcare
  • environmental monitoring

Published Papers (2 papers)

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Research

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12 pages, 4004 KiB  
Article
A Naked-Eye Colorimetric Ratio Method for the Selective and Sensitive Detection of L-Cys Based on a Silver Nanoflakes–Chromium (III) Ion System
by Xi Zhang, Yunyi Zhang, Yuwei Gu, Junyu Zhou, Ming Li and Jian Qi
Chemosensors 2024, 12(5), 80; https://doi.org/10.3390/chemosensors12050080 - 11 May 2024
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Abstract
As a necessary sulfhydryl amino acid, L-cysteine (L-Cys) maintains many physiological functions in the biological system. However, abnormal L-Cys levels can cause a variety of diseases. In our work, a highly sensitive and selective assay has been developed for sensing L-Cys using the [...] Read more.
As a necessary sulfhydryl amino acid, L-cysteine (L-Cys) maintains many physiological functions in the biological system. However, abnormal L-Cys levels can cause a variety of diseases. In our work, a highly sensitive and selective assay has been developed for sensing L-Cys using the morphological transformation of silver-based materials induced by Cr3+. In this sensing system, Cr3+ could etch the silver nanoflakes into silver nanoparticles, accompanied by a change in absorbance, which decreases at 395 nm, creates a new peak at 538 nm, and keeps increasing the absorbance with the addition of Cr3+ concentration. Meanwhile, under the naked eye, the solution color changes from bright yellow to dark purple. Because of the strong affinity between L-Cys and Cr3+, L-Cys could inhibit the induction of Cr3+ on silver-based materials, thereby preventing changes in the configuration, absorption spectrum, and color of silver-based materials. Taking advantage of this point, we can quantitatively detect the concentration of L-Cys. A linear relationship between the absorbance ratio (A538 nm/A395 nm) and L-Cys concentration was found in the range of 0.1–0.9 μM, and the detection limit was 41.2 nM. The strategy was applied to measure L-Cys spiked in beer and urine samples, with recovery from 93.80 to 104.03% and 93.33% to 107.14% and RSD from 0.89 to 2.40% and 1.80% to 6.78%, respectively. This detection strategy demonstrates excellent selectivity and sensitivity, which makes it a practical and effective method for the detection of L-Cys in real samples. Full article
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Review

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18 pages, 3372 KiB  
Review
The Developments on Lateral Flow Immunochromatographic Assay for Food Safety in Recent 10 Years: A Review
by Peng Wang, Jinyan Li, Lingling Guo, Jiaxun Li, Feng He, Haitao Zhang and Hai Chi
Chemosensors 2024, 12(6), 88; https://doi.org/10.3390/chemosensors12060088 - 24 May 2024
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Abstract
Food safety inspections are an essential aspect of food safety monitoring. Rapid, accurate, and low-cost food analysis can considerably increase the efficiency of food safety inspections. The lateral flow immunochromatographic assay (LFIA) technique has recently grown in popularity due to its ease of [...] Read more.
Food safety inspections are an essential aspect of food safety monitoring. Rapid, accurate, and low-cost food analysis can considerably increase the efficiency of food safety inspections. The lateral flow immunochromatographic assay (LFIA) technique has recently grown in popularity due to its ease of use and high efficiency. It is currently commonly utilized in food inspection. In this review, we briefly introduce the principle and classification of LFIA, critically discuss the recent application status of LFIA in food contaminantion detection, and finally propose that artificial intelligence and information technology will further advance the development of LFIA in the field of food safety monitoring. Full article
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