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Biosensors
Special Issues
Recent Advances and Perspectives of Spectroscopy-Based Biosensors
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Recent Advances and Perspectives of Spectroscopy-Based Biosensors

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensors and Healthcare".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 2545

Special Issue Editors

Prof. Dr. Fuwei Pi

E-Mail Website
Guest Editor
School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
Interests: cell evaluation of food safety; functional factor immunoregulation; spectroscopy and spectral analysis; interface nano-cellular biology
Dr. Jiahua Wang

E-Mail Website
Guest Editor
College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
Interests: spectroscopy and spectral analysis; non-destructive detection; evaluation of food quality and safety; machine learning
Dr. Xiaodan Liu

E-Mail Website
Guest Editor
College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
Interests: digital agricultural information technology; spectroscopy and spectral analysis; machine Learning
Dr. Fangfang Qu

E-Mail Website
Guest Editor
Center for Artificial Intelligence in Agriculture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
Interests: terahertz spectral imaging detection technology; terahertz metamaterial sensing technology; functional nano-sensing materials; quantum chemistry molecular simulation

Special Issue Information

Dear Colleagues,

Food is the material basis for human survival and development, and food quality and safety are highly related to human health and the national economy. As food may be contaminated by a variety of toxic substances in the process of production, processing and storage, such as pesticide residues, heavy metals and harmful additives, food quality and security are increasingly less protected. Strengthening the rapid and effective monitoring of harmful substances in food is of great practical significance to ensure food safety, promote human health, and increase social and economic development. Conventional detection methods, such as gas chromatography (GC), high-performance liquid chromatography (HPLC), and polymerase chain reaction (PCR), cannot meet the needs of rapid analysis, especially online quality assessment and determination for industrial applications. Consequently, there is a need for reliable and rapid analytical methods of food quality and safety.

This Special Issue, entitled “Spectroscopy-Based Biosensors for Rapid Detection of Food Quality and Safety”, aims to collect high-quality research focusing on the latest novel advances and technology for food quality and safety detection. We encourage the submission of original high-quality research papers and comprehensive reviews related to the application of biosensor and spectral analysis in food.

Prof. Dr. Fuwei Pi
Dr. Jiahua Wang
Dr. Xiaodan Liu
Dr. Fangfang Qu
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. Biosensors 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

  • biosensors
  • Raman
  • near-infrared
  • mid- infrared
  • terahertz
  • hyperspectral spectrum
  • new detection techniques
  • colorimetry
  • surface-enhanced Raman spectroscopy (SERS)
  • fluorescence resonance energy transfer (FRET)
  • surface plasmon resonance (SPR)
  • food analysis

Published Papers (2 papers)

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Research

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14 pages, 2779 KiB  
Article
Zeolitic Imidazolate Framework-8 Composite-Based Enzyme-Linked Aptamer Assay for the Sensitive Detection of Deoxynivalenol
by Zaixi Shu, Run Zhou, Guijie Hao, Xingyue Tang, Xin Liu, Jie Bi, Huang Dai and Yafang Shen
Biosensors 2023, 13(9), 847; https://doi.org/10.3390/bios13090847 - 25 Aug 2023
Cited by 3 | Viewed by 1211
Abstract
The mycotoxin deoxynivalenol (DON) is a prevalent contaminant in cereals that threatens the health of both humans and animals and causes economic losses due to crop contamination. The rapid and sensitive detection of DON is essential for food safety. Herein, a colorimetric biosensor [...] Read more.
The mycotoxin deoxynivalenol (DON) is a prevalent contaminant in cereals that threatens the health of both humans and animals and causes economic losses due to crop contamination. The rapid and sensitive detection of DON is essential for food safety. Herein, a colorimetric biosensor based on horseradish peroxidase- and gold nanoparticle-encapsulated zeolitic imidazolate framework-8 (HRP&Au@ZIF-8) was developed for the sensitive screening of DON. The synthesized HRP&Au@ZIF-8 probes not only held great potential for signal amplification but also exhibited stable catalytic activity even under extreme conditions, which endowed the biosensor with both good sensitivity and stability. Under the optimized conditions, qualitative measurement of DON can be achieved through visual inspection, and quantitative evaluation can be performed via absorbance measurements at a characteristic wavelength of 450 nm. The proposed method has demonstrated high sensitivity with a linear detection range of 1–200 ng/mL and a detection limit of 0.5068 ng/mL. It also presented good selectivity and reliability. Furthermore, DON in spiked cereal samples has been quantified successfully using this method. This novel approach demonstrates significant potential for the facile and expeditious detection of DON in cereal products and brings us one step closer to enhancing food safety. Full article
(This article belongs to the Special Issue Recent Advances and Perspectives of Spectroscopy-Based Biosensors)
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Review

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17 pages, 4900 KiB  
Review
Raman Flow Cytometry and Its Biomedical Applications
by Jiayang Xu, Hongyi Chen, Ce Wang, Yuting Ma and Yizhi Song
Biosensors 2024, 14(4), 171; https://doi.org/10.3390/bios14040171 - 31 Mar 2024
Viewed by 841
Abstract
Raman flow cytometry (RFC) uniquely integrates the “label-free” capability of Raman spectroscopy with the “high-throughput” attribute of traditional flow cytometry (FCM), offering exceptional performance in cell characterization and sorting. Unlike conventional FCM, RFC stands out for its elimination of the dependency on fluorescent [...] Read more.
Raman flow cytometry (RFC) uniquely integrates the “label-free” capability of Raman spectroscopy with the “high-throughput” attribute of traditional flow cytometry (FCM), offering exceptional performance in cell characterization and sorting. Unlike conventional FCM, RFC stands out for its elimination of the dependency on fluorescent labels, thereby reducing interference with the natural state of cells. Furthermore, it significantly enhances the detection information, providing a more comprehensive chemical fingerprint of cells. This review thoroughly discusses the fundamental principles and technological advantages of RFC and elaborates on its various applications in the biomedical field, from identifying and characterizing cancer cells for in vivo cancer detection and surveillance to sorting stem cells, paving the way for cell therapy, and identifying metabolic products of microbial cells, enabling the differentiation of microbial subgroups. Moreover, we delve into the current challenges and future directions regarding the improvement in sensitivity and throughput. This holds significant implications for the field of cell analysis, especially for the advancement of metabolomics. Full article
(This article belongs to the Special Issue Recent Advances and Perspectives of Spectroscopy-Based Biosensors)
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