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Nanomaterial-Based Biosensors for Food Analysis

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 2285

Special Issue Editors


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Guest Editor
Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China
Interests: plant foods; processing; functional components; analysis techniques; structure; nutrition and health; gut microbiota; in vivo metabolism; molecular mechanisms
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Optical Science and Engineering, State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China
Interests: optical sensor; photonic biosensor; tunnelling sensor; electrochemical biosensor; biochip
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Rapid analytical methods are essential for monitoring food quality and safety. Up to now, the research and development of simpler and faster analytical procedures based on biosensors has aroused much interest due to their simplicity and sensitivity. Nanomaterials, such as carbon nanomaterials (carbon nanotubes and graphene), metal nanoparticles, nanowires, nanocomposites, and nanostructured metal oxide nanoparticles have recently had a great impact on the development of biosensors. The nanomaterials are used as catalytic tools, immobilization platforms, or as optical or electroactive labels to improve the biosensing performance and obtain higher sensitivity, stability, and selectivity. To capture the latest developments in this direction, the specific topics of the Special Issue include, but are not limited to, the following:

  1. Nanomaterial-based biosensors for food composition analysis;
  2. Nanomaterial-based biosensors for food safety analysis;
  3. Nanomaterial-based biosensors for health biomarker analysis.

This Special Issue welcomes research findings, rapid communications, and full reviews.

You may choose our joint special issue in Biosensors.

Prof. Dr. Jinkai Zheng
Prof. Dr. Longhua Tang
Guest Editors

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Keywords

  • food analysis
  • quality
  • safety
  • health biomarker
  • nanomaterials
  • biosensors
  • rapid detection

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Published Papers (1 paper)

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Research

11 pages, 1606 KiB  
Article
Lateral Flow Test System to Control Total Content of Muscle Tissues in Raw Meat Products
by Elena A. Zvereva, Olga D. Hendrickson, Boris B. Dzantiev and Anatoly V. Zherdev
Sensors 2022, 22(24), 9724; https://doi.org/10.3390/s22249724 - 12 Dec 2022
Cited by 1 | Viewed by 1450
Abstract
Assessment of the composition of meat-containing products is the task in demand due to their frequent deviations from declared recipes. The paper presents the developed test system for immunochromatographic determination of total meat content. The assay is based on the simultaneous use of [...] Read more.
Assessment of the composition of meat-containing products is the task in demand due to their frequent deviations from declared recipes. The paper presents the developed test system for immunochromatographic determination of total meat content. The assay is based on the simultaneous use of monoclonal antibodies, which specifically interacts with mammalian skeletal troponin I, and polyclonal antibodies, which specifically detect bird immunoglobulin Y. To integrate the detection of both types of meat by the same test strip, the antibodies are mixed in the analytical zone of the test strip and in complex with a gold nanoparticle label. The chosen ratios of the antibodies for both mixtures provide the same contribution of different types of mammalian and bird raw materials of muscle tissues to the label binding. The test system demonstrates suitability for products containing beef, pork, rabbit, lamb, chicken, and turkey meat. The minimal detectable content of meat in samples is 0.1%. The samples for the testing are diluted 100 times, thus eliminating matrix effects, and providing high reproducibility of the color intensity for extracts of different compositions. The obtained results allow the recommendation of the developed test system for rapid on-site control of meat products. Full article
(This article belongs to the Special Issue Nanomaterial-Based Biosensors for Food Analysis)
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