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Molecules
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Detection and Intelligent Manufacture of Food and Agriculture Products
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Detection and Intelligent Manufacture of Food and Agriculture Products

A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Analytical Chemistry".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 2129

Special Issue Editor

Dr. Zhihua Li

E-Mail Website
Guest Editor
School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
Interests: non-destructive detection; sensor; smart processing; data analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The world population is expected to reach 9 billion by 2050, which will require an increase in agricultural and food production by 70%. Facing such a serious challenge, intelligent upgrading is an inevitable trend in the food and agriculture industries to increase efficiency and reduce costs. In recent years, many researchers have been combining various novel technologies with the detection and manufacture of food and agriculture products, and many of these combined technologies have showed great potential. This Special Issue aims to provide a broad survey of the most recent advances in the “Detection and Intelligent Manufacture of Food and Agriculture Products” field. The topics may include—but are not limited to—biotechnology, nanomaterials, biosensors, artificial intelligence, online sensors, and 3D printing.

Dr. Zhihua Li
Guest Editor

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. Molecules 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 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

  • food
  • agriculture products
  • intelligent
  • detection
  • manufacture
  • online

Published Papers (1 paper)

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Research

9 pages, 3041 KiB  
Article
A Renewable Biosensor Based on LNA-Aptamer Hybridization for the Detection of Salmonella enteritidis in Penaeus vannamei
by Zhihua Li, Ling Zhao, Qian Wu, Xue Zhang, Xiaowei Huang, Jiyong Shi and Xiaobo Zou
Molecules 2023, 28(1), 450; https://doi.org/10.3390/molecules28010450 - 3 Jan 2023
Cited by 1 | Viewed by 1782
Abstract
Salmonella enteritidis (SE) is an important factor causing foodborne disease, and electrochemical sensors have drawn much attention for SE prevention and detection due to their many advantages. A renewable electrochemical sensor using specially designed locked nucleic acids (LNA) as linkers for the detection [...] Read more.
Salmonella enteritidis (SE) is an important factor causing foodborne disease, and electrochemical sensors have drawn much attention for SE prevention and detection due to their many advantages. A renewable electrochemical sensor using specially designed locked nucleic acids (LNA) as linkers for the detection of SE was proposed to improve the reusability and reproducibility of biosensors. One end of the LNA was designed as an anchor to attach to modified electrodes through the sulfhydryl group; the other end was used to match with a short segment of SE aptamers, which will allow for the convenient renewal of occupied aptamers by raising the temperature. Results revealed that the manufactured biosensor had good stability, reproducibility, and selectivity in addition to a linear range of 6 × 101–6 × 105 CFU/mL and a limit of detection (LOD) of 20.704 CFU/mL. The recovery rate of SE for the real sample varied from 98.84% to 134.82% without exceeding 16.27% in the relative standard deviation (RSD). The proposed biosensor appears to be a promising tool for foodborne pathogen detection. Full article
(This article belongs to the Special Issue Detection and Intelligent Manufacture of Food and Agriculture Products)
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