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Foods
Special Issues
Advances in Analytical Techniques for Food Quality and Safety
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Advances in Analytical Techniques for Food Quality and Safety

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Quality and Safety".

Deadline for manuscript submissions: 25 December 2024 | Viewed by 5365

Special Issue Editors

Prof. Dr. Donghui Xu

E-Mail Website
Guest Editor
Key Laboratory of Vegetables Quality and Safety Control, Ministry of Agriculture and Rural Affairs of China, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Interests: analytical methods and risk assessment of contaminants in vegetables; identification and evaluation technology for nutritional and functional components in vegetables
Dr. Guangyang Liu

E-Mail Website
Guest Editor
Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Vegetables Quality and Safety Control, Ministry of Agriculture and Rural Affairs of China, Beijing 100081, China
Interests: using functional nanohybrid materials to monitor the quality and safety of agricultural products; nanoscale identification and sensing of agricultural chemical pollutants and nutrients; mechanism of nano-controlled removal and catalytic degradation of agricultural chemical pollutants; research and development of nano pesticide and nano fertilizer; sample pretreatment; pesticide residue monitoring; dietary risk assessment; development of new pesticide detection technologies
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Yongxin She

E-Mail Website
Guest Editor
Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Ministry of Agriculture of China, Beijing 100081, China
Interests: application of molecularly imprinted polymers and nanomaterials in the separation and analysis of pesticides, veterinary residues, and active components from agro-products; construction, synthesis, and application of EC, SPR, SERS, and optical sensors based on molecularly imprinted technology chips for analysis of small molecular compounds; study on the effect of pesticides and other processing factors on the functional component of agricultural products

Special Issue Information

Dear Colleagues,

Food safety and food nutrition are two important aspects of food. Chemical contaminants, including pesticides, veterinary drugs, mycotoxins, persistent organic pollutants (POPs), and heavy metal ions, are important factors affecting food safety. Meanwhile, with the widespread concern for nutrition and health, functional bioactive ingredients in food are receiving more and more attention. Hence, with increasing research into food safety and nutrition, the development of advanced technological methods to detect chemical contaminants and emerging bioactive compounds is critical. These needs have prompted researchers concerned with food safety and nutrition to develop advanced analytical techniques to accurately quantify contaminants and bioactives in food and to demonstrate the relationship between contaminants and bioactives and the health of the human diet, which is critical to ensuring food safety and a healthy diet.

With this Special Issue, we hope to present recent developments in using novel technologies/nanomaterials to monitor/remove chemical contaminants and extract/determinate bioactive compounds in food, exploring the molecular mechanism of contaminants/bioactives in food, and indicating the relationship between targets and food safety/dietary health to promote the health risk assessment of chemical contaminants and to make full use of functional substances in food. Original research articles, comprehensive reviews, and other types will be considered.

Prof. Dr. Donghui Xu
Dr. Guangyang Liu
Prof. Dr. Yongxin She
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

  • nanomaterial-based pretreatment
  • contaminant monitoring
  • bioactive extraction and quantitation
  • novel analytical techniques
  • rapid detection device
  • bioactive separation mechanism
  • analytical methods
  • evaluation model
  • dietary risk assessment
  • food quality and safety

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

Published Papers (3 papers)

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Research

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13 pages, 2050 KiB  
Article
Evaluating Soluble Solids in White Strawberries: A Comparative Analysis of Vis-NIR and NIR Spectroscopy
by Hayato Seki, Haruko Murakami, Te Ma, Satoru Tsuchikawa and Tetsuya Inagaki
Foods 2024, 13(14), 2274; https://doi.org/10.3390/foods13142274 - 19 Jul 2024
Viewed by 1053
Abstract
In recent years, due to breeding improvements, strawberries with low anthocyanin content and a white rind are now available, and they are highly valued in the market. Strawberries with white skin color do not turn red when ripe, making it difficult to judge [...] Read more.
In recent years, due to breeding improvements, strawberries with low anthocyanin content and a white rind are now available, and they are highly valued in the market. Strawberries with white skin color do not turn red when ripe, making it difficult to judge ripeness. The soluble solids content (SSC) is an indicator of fruit quality and is closely related to ripeness. In this study, visible–near-infrared (Vis-NIR) spectroscopy and near-infrared (NIR) spectroscopy are used for non-destructive evaluation of the SSC. Vis-NIR (500–978 nm) and NIR (908–1676 nm) data collected from 180 samples of “Tochigi iW1 go” white strawberries and 150 samples of “Tochigi i27 go” red strawberries are investigated. The white strawberry SSC model developed by partial least squares regression (PLSR) in Vis-NIR had a determination coefficient R2p of 0.89 and a root mean square error prediction (RMSEP) of 0.40%; the model developed in NIR showed satisfactory estimation accuracy with an R2p of 0.85 and an RMSEP of 0.43%. These estimation accuracies were comparable to the results of the red strawberry model. Absorption derived from anthocyanin and chlorophyll pigments in white strawberries was observed in the Vis-NIR region. In addition, a dataset consisting of red and white strawberries can be used to predict the pigment-independent SSC. These results contribute to the development of methods for a rapid fruit sorting system and the development of an on-site ripeness determination system. Full article
(This article belongs to the Special Issue Advances in Analytical Techniques for Food Quality and Safety)
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23 pages, 3929 KiB  
Article
Facile Preparation of Magnetic COF-on-COF for Rapid Adsorption and Determination of Sulforaphane from Cruciferous Vegetables
by Jie Zhou, Dan Xu, Jiayong Cao, Weiye Shi, Xuan Zhang, Huan Lin, Chen Yin, Lingyun Li, Donghui Xu and Guangyang Liu
Foods 2024, 13(3), 409; https://doi.org/10.3390/foods13030409 - 26 Jan 2024
Cited by 2 | Viewed by 1699
Abstract
Sulforaphane (SFN) is a natural isothiocyanate compound widely abundant in cruciferous vegetables with multiple bioactive functions. However, traditional analytical methods for the extraction and determination of SFN are cumbersome, time-consuming, and low sensitivity with large amounts of organic solvents. Herein, novel magnetic COF-on-COFs [...] Read more.
Sulforaphane (SFN) is a natural isothiocyanate compound widely abundant in cruciferous vegetables with multiple bioactive functions. However, traditional analytical methods for the extraction and determination of SFN are cumbersome, time-consuming, and low sensitivity with large amounts of organic solvents. Herein, novel magnetic COF-on-COFs (MB-COFs) were fabricated using Fe3O4 as a magnetic core and COFs-1 grown with COFs-2 as a shell, and they were used as efficient adsorbents of magnetic dispersive solid-phase extraction for rapid quantification of SFN in cruciferous vegetables by combining with HPLC-MS/MS. At the optimal ratio of COFs-1 to COFs-2, MB-COFs had a spherical cluster-like structure and a rough surface, with a sufficient magnetic response for rapid magnetic separation (1 min). Due to the introduction of Fe3O4 and COFs-2, MB-COFs exhibited outstanding extraction efficiencies for SFN (92.5–97.3%), which was about 18–72% higher than that of the bare COFs. Moreover, MB-COFs showed good adsorption capacity (Qm of 18.0 mg/g), rapid adsorption (5 min) and desorption (30 s) to SFN, and favorable reusability (≥7 cycles) by virtue of their unique hierarchical porous structure. The adsorption kinetic data were well fitted by the pseudo-second-order, Ritchie-second-order, intra-particle diffusion, and Elovich models, while the adsorption isotherm data were highly consistent with the Langmuir, Temkin, and Redlich–Peterson models. Finally, under the optimized conditions, the developed method showed a wide linear range (0.001–0.5 mg/L), high sensitivity (limits of quantification of 0.18–0.31 μg/L), satisfactory recoveries (82.2–96.2%) and precisions (1.8–7.9%), and a negligible matrix effect (0.82–0.97). Compared to previous methods, the proposed method is faster and more sensitive and significantly reduces the use of organic solvents, which can achieve the efficient detection of large-scale samples in practical scenarios. This work reveals the high practical potential of MB-COFs as adsorbents for efficient extraction and sensitive analysis of SFN in cruciferous vegetables. Full article
(This article belongs to the Special Issue Advances in Analytical Techniques for Food Quality and Safety)
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Review

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27 pages, 1558 KiB  
Review
Intelligent Rapid Detection Techniques for Low-Content Components in Fruits and Vegetables: A Comprehensive Review
by Sai Xu, Yinghua Guo, Xin Liang and Huazhong Lu
Foods 2024, 13(7), 1116; https://doi.org/10.3390/foods13071116 - 6 Apr 2024
Cited by 2 | Viewed by 1693
Abstract
Fruits and vegetables are an important part of our daily diet and contain low-content components that are crucial for our health. Detecting these components accurately is of paramount significance. However, traditional detection methods face challenges such as complex sample processing, slow detection speed, [...] Read more.
Fruits and vegetables are an important part of our daily diet and contain low-content components that are crucial for our health. Detecting these components accurately is of paramount significance. However, traditional detection methods face challenges such as complex sample processing, slow detection speed, and the need for highly skilled operators. These limitations fail to meet the growing demand for intelligent and rapid detection of low-content components in fruits and vegetables. In recent years, significant progress has been made in intelligent rapid detection technology, particularly in detecting high-content components in fruits and vegetables. However, the accurate detection of low-content components remains a challenge and has gained considerable attention in current research. This review paper aims to explore and analyze several intelligent rapid detection techniques that have been extensively studied for this purpose. These techniques include near-infrared spectroscopy, Raman spectroscopy, laser-induced breakdown spectroscopy, and terahertz spectroscopy, among others. This paper provides detailed reports and analyses of the application of these methods in detecting low-content components. Furthermore, it offers a prospective exploration of their future development in this field. The goal is to contribute to the enhancement and widespread adoption of technology for detecting low-content components in fruits and vegetables. It is expected that this review will serve as a valuable reference for researchers and practitioners in this area. Full article
(This article belongs to the Special Issue Advances in Analytical Techniques for Food Quality and Safety)
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