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Foods
Special Issues
Optical Probes and Biosensors for Food Detection: Development and Applications
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Optical Probes and Biosensors for Food Detection: Development and Applications

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Analytical Methods".

Deadline for manuscript submissions: 20 April 2025 | Viewed by 4259

Special Issue Editors

Dr. Kaiyi Zheng

E-Mail Website
Guest Editor
Department of Food & Biological Engineering, Jiangsu University, Zhenjiang 212013, China
Interests: nondestructive testing; food analytical methods; surface enhanced raman spectroscopy; data mining; chemomtrics
Dr. Xuechao Xu

E-Mail Website
Guest Editor
College of Food Science and Engineering, Yangzhou University, Yangzhou, Jiangsu 225127, China
Interests: food ingredient rapid detection technology; sensors
Special Issues, Collections and Topics in MDPI journals
Dr. Yiwei Xu

E-Mail Website
Guest Editor
School of Food Science and Technology, Henan University of Technology, Zhengzhou 450001, China
Interests: food safety and rapid testing; electrochemical sensors

Special Issue Information

Dear Colleagues,

Optical probe is a non-destructive technique that uses light to investigate the quality of food at molecular, cellular, tissue, and organ levels. Because of the importance of optical probes in food analysis, the innovatively designed optical-sensing techniques require a deep understanding of the optical, material, and environmental properties that affect the performance of optical probes. Meanwhile, exploring the interaction between the detection object and the optical probe is also key for optimizing the structure of an optical probe. Thus, many innovative structures along with new design and preparation methods have emerged.

In addition to the structures, many portable instruments can be used to obtain and analyze the signal generated from optical probes, including fluorescence spectroscopy, Raman spectroscopy, and ultraviolet–visible spectroscopy.

Furthermore, the technology of optical probes is being increasingly and widely applied for monitoring chemical hazardous substances in food, including pesticides, heavy metals, mycotoxins, and veterinary drugs. Meanwhile, harmful microorganisms, such as parasite, fungus, bacteria, and virus, can also be analyzed using optical probes.

This Special Issue aims to publish or summarize the latest findings on optical probes for food analysis.

Dr. Kaiyi Zheng
Dr. Xuechao Xu
Dr. Yiwei Xu
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. Foods is an international peer-reviewed open access semimonthly 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 2900 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

  • fiber-optic sensor
  • biological sensor
  • chemical sensor
  • thin film sensor
  • flexible sensor
  • fluorescence spectroscopy
  • raman spectroscopy
  • ultraviolet–visible spectroscopy
  • optical probe for food production monitoring
  • optical probe for hazardous substance detection

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

20 pages, 5404 KiB  
Article
A Sensitive SERS Sensor Combined with Intelligent Variable Selection Models for Detecting Chlorpyrifos Residue in Tea
by Hanhua Yang, Hao Qian, Yi Xu, Xiaodong Zhai and Jiaji Zhu
Foods 2024, 13(15), 2363; https://doi.org/10.3390/foods13152363 - 26 Jul 2024
Viewed by 1024
Abstract
Chlorpyrifos is one of the most widely used broad-spectrum insecticides in agriculture. Given its potential toxicity and residue in food (e.g., tea), establishing a rapid and reliable method for the determination of chlorpyrifos residue is crucial. In this study, a strategy combining surface-enhanced [...] Read more.
Chlorpyrifos is one of the most widely used broad-spectrum insecticides in agriculture. Given its potential toxicity and residue in food (e.g., tea), establishing a rapid and reliable method for the determination of chlorpyrifos residue is crucial. In this study, a strategy combining surface-enhanced Raman spectroscopy (SERS) and intelligent variable selection models for detecting chlorpyrifos residue in tea was established. First, gold nanostars were fabricated as a SERS sensor for measuring the SERS spectra. Second, the raw SERS spectra were preprocessed to facilitate the quantitative analysis. Third, a partial least squares model and four outstanding intelligent variable selection models, Monte Carlo-based uninformative variable elimination, competitive adaptive reweighted sampling, iteratively retaining informative variables, and variable iterative space shrinkage approach, were developed for detecting chlorpyrifos residue in a comparative study. The repeatability and reproducibility tests demonstrated the excellent stability of the proposed strategy. Furthermore, the sensitivity of the proposed strategy was assessed by estimating limit of detection values of the various models. Finally, two-tailed paired t-tests confirmed that the accuracy of the proposed strategy was equivalent to that of gas chromatography–mass spectrometry. Hence, the proposed method provides a promising strategy for detecting chlorpyrifos residue in tea. Full article
(This article belongs to the Special Issue Optical Probes and Biosensors for Food Detection: Development and Applications)
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13 pages, 5096 KiB  
Article
Simultaneous Determination of Aflatoxin B1 and Ochratoxin A in Cereals by a Novel Electrochemical Aptasensor Using Metal–Organic Framework as Signal Carrier
by Yiwei Xu, Xupeng Jia, Sennan Yang, Mengrui Cao, Baoshan He, Wenjie Ren and Zhiguang Suo
Foods 2024, 13(14), 2177; https://doi.org/10.3390/foods13142177 - 10 Jul 2024
Viewed by 1400
Abstract
A novel electrochemical aptasensor was prepared for the simultaneous determination of aflatoxin B1 (AFB1) and ochratoxin A (OTA). Composites of Au nanoparticles and polyethyleneimine-reduced graphene oxide (AuNPs/PEI-RGO) with good electrical conductivity and high specific surface area were employed as the supporting substrate, demonstrating [...] Read more.
A novel electrochemical aptasensor was prepared for the simultaneous determination of aflatoxin B1 (AFB1) and ochratoxin A (OTA). Composites of Au nanoparticles and polyethyleneimine-reduced graphene oxide (AuNPs/PEI-RGO) with good electrical conductivity and high specific surface area were employed as the supporting substrate, demonstrating the ability to provide more binding sites for aptamers and accelerate the electron transfer. Aptamers were immobilized on a AuNPs/PEI-RGO surface to specifically recognize AFB1 and OTA. A metal–organic framework of UiO-66-NH2 served as the signal carrier to load metal ions of Cu2+ and Pb2+, which facilitated the generation of independent current peaks and effectively improved the electrochemical signals. The prepared aptasensor exhibited sensitive current responses for AFB1 and OTA with a linear range of 0.01 to 1000 ng/mL, with detection limits of 6.2 ng/L for AFB1 and 3.7 ng/L for OTA, respectively. The aptasensor was applied to detect AFB1 and OTA in cereal samples, achieving results comparable with HPLC-MS, with recovery results from 92.5% to 104.1%. With these merits of high sensitivity and good selectivity and stability, the prepared aptasensor proved to be a powerful tool for evaluating contaminated cereals. Full article
(This article belongs to the Special Issue Optical Probes and Biosensors for Food Detection: Development and Applications)
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12 pages, 1643 KiB  
Article
Nanobody and CuS Nanoflower-Au-Based Lateral Flow Immunoassay Strip to Enhance the Detection of Aflatoxin B1
by Yiming Zhao, Baoshan He, Danyang Li, Leyan Gao and Wenjie Ren
Foods 2024, 13(12), 1845; https://doi.org/10.3390/foods13121845 - 12 Jun 2024
Cited by 2 | Viewed by 1363
Abstract
In the realm of analysis, the lateral flow immunoassay (LFIA) is frequently utilized due to its capability to be fast and immediate. However, the biggest challenge of the LFIA is its low detection sensitivity and tolerance to matrix interference, making it impossible to [...] Read more.
In the realm of analysis, the lateral flow immunoassay (LFIA) is frequently utilized due to its capability to be fast and immediate. However, the biggest challenge of the LFIA is its low detection sensitivity and tolerance to matrix interference, making it impossible to enable accurate, qualitative analyses. In this study, we developed a new LFIA with higher affinity and sensitivity, based on a nanobody (G8-DIG) and CuS nanoflowers-Au (CuS NFs-Au), for the detection of aflatoxin B1 (AFB1) in maize. We synthesized the immunoprobe G8-DIG@CuS NFs-Au, stimulated the in situ development of Au nanoparticles (Au NPs) on Cu NFs by electrical displacement, and obtained Cu NFs-Au for fixing the G8-DIG. G8-DIG@CuS NFs-Au probe-based LFIAs may, in ideal circumstances, use a strip chromatography reader to accomplish sensitive quantitative detection and qualitative visualization. AFB1 has a detection range of 2.82–89.56 µg/L and a detection limit of 0.87 µg/L. When compared with an LFIA based on CuS NFs, this sensitivity is increased by 2.76 times. The practical application of this method in corn flour demonstrated a recovery rate of 81.7% to 117%. Therefore, CuS NFs-Au show great potential for detecting analytes. Full article
(This article belongs to the Special Issue Optical Probes and Biosensors for Food Detection: Development and Applications)
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