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Agriculture
Special Issues
Nondestructive Testing and Intelligent Processing for Agricultural Products
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Nondestructive Testing and Intelligent Processing for Agricultural Products

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Product Quality and Safety".

Deadline for manuscript submissions: closed (15 November 2023) | Viewed by 2734

Special Issue Editors

Dr. Xiaowei Huang

E-Mail Website
Guest Editor
School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
Interests: novel biosensors for food quality and safety; nondestructive detection technologies for food and agro products; novel food packaging materials and technologies
Special Issues, Collections and Topics in MDPI journals
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 quality and safety of agricultural products is not only related to industrial development and economic and social development, but also related to people's health and life safety. Non-destructive testing technology refers to the use of light, sound, electricity, magnetic and other technologies to detect the physical and chemical properties of the sample without damaging the properties of the sample to be tested. Continuous research on new, high-sensitivity, and high-specificity online non-destructive testing technologies for agricultural products, on the one hand, is conducive to maintaining market order, and plays an important role in regulating the production and operation of agricultural products and ensuring the quality and safety of agricultural products. On the other hand, it will also help agricultural product producers understand the causes of food pollution, predict and guide the direction of pollution prevention and control in agricultural product cultivation, improve the quality and safety supervision level of the entire industry, and guide the development of key technologies for intelligent processing of agricultural products.

This Special Issue focuses on the development of nondestructive testing methods and equipment for agricultural products, as well as intelligent processing methods for agricultural products based on nondestructive testing technology. This Special Issue on nondestructive testing technology will include interdisciplinary studies embracing agriculture with disciplines of biology, chemistry, physics and mathematics and engineering. Research articles will cover a broad range of agricultural products, including vegetable, fruits, cereals, livestock and poultry, aquatic products, crops, etc. All types of articles, such as original research, opinions, and reviews are welcome.

Dr. Xiaowei Huang
Dr. Zhihua Li
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. Agriculture 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 2600 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

  • nondestructive testing
  • spectrum technology
  • gas-sensing technology
  • 3D Printing
  • non-thermal processes

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Published Papers (2 papers)

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Research

13 pages, 1552 KiB  
Article
Photoluminescence Spectral Patterns and Parameters of Milk While Souring
by Mikhail V. Belyakov, Gennady N. Samarin, Vyacheslav A. Ruzhev, Alexander A. Kudryavtsev, Igor Yu. Efremenkov and Nikita D. Blinov
Agriculture 2023, 13(5), 1054; https://doi.org/10.3390/agriculture13051054 - 14 May 2023
Viewed by 1711
Abstract
For the efficient production and processing of milk, it is important to control its quality indicators. Optical spectroscopy, in combination with statistical analysis methods, can be a useful method of evaluation due to its speed, non-invasiveness, and relative cheapness. This investigation is aimed [...] Read more.
For the efficient production and processing of milk, it is important to control its quality indicators. Optical spectroscopy, in combination with statistical analysis methods, can be a useful method of evaluation due to its speed, non-invasiveness, and relative cheapness. This investigation is aimed at studying of the interrelations of the spectral patterns, the absorption parameters, and the photoluminescence values of cow’s milk during its souring. The spectral characteristics of excitation and photoluminescence were measured on a diffraction spectrofluorometer in the range of 200–500 nm. For establishing an effective control procedure during milk souring, the most informative method is found to be the use of the excitation wavelengths of 232 nm, 322 nm, 385 nm and 442 nm. These ranges correspond to the amino acids of milk proteins, the fatty acids of milk fat, and the aromatic fragments of vitamins. When using the photoluminescence flux ratios Φ232/Φ322 and Φ385/Φ442, linearly approximated dependences on acidity can be obtained with determination coefficients of 0.88–0.94. The proposed photoluminescent method can be used as a non-destructive and fast-acting tool for monitoring the properties of milk during fermentation, as well as for the subsequent creation of a portable and inexpensive sensor based on this method. Full article
(This article belongs to the Special Issue Nondestructive Testing and Intelligent Processing for Agricultural Products)
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14 pages, 2635 KiB  
Article
Effects of Variety and Pulsed Electric Field on the Quality of Fresh-Cut Apples
by Zhihua Li, Hanli Yang, Wenbing Fang, Xiaowei Huang, Jiyong Shi and Xiaobo Zou
Agriculture 2023, 13(5), 929; https://doi.org/10.3390/agriculture13050929 - 24 Apr 2023
Cited by 13 | Viewed by 2454
Abstract
The suitability of five apple varieties (Ralls, Qinguan, Fuji, Delicious, and Cattle) for fresh-cut processing was compared based on the evaluation of weight loss, firmness, color, titratable acid (TA), polyphenoloxidase (PPO) activity and peroxidase (POD) activity, and the impact of pulsed electronic field [...] Read more.
The suitability of five apple varieties (Ralls, Qinguan, Fuji, Delicious, and Cattle) for fresh-cut processing was compared based on the evaluation of weight loss, firmness, color, titratable acid (TA), polyphenoloxidase (PPO) activity and peroxidase (POD) activity, and the impact of pulsed electronic field (PEF) on fresh-cut apples’ quality was explored. The results showed that the changes to Delicious apples in terms of the color parameter, firmness, and weight loss were comparable to or lower than the other samples, while the TA content was higher than the other samples during storage. Therefore, Delicious was selected for the study of the effects of PEF on fresh-cut apples. By measuring the physicochemical properties and microbiological characteristics within 10 days of storage, it was found that the PPO and POD activity of apples treated with PEF at 3 kV/cm on the 10th day decreased the most, with 44.61% and 36.48% decreases, respectively. In addition, apples treated with 5 kV/cm showed the greatest decrease in malondialdehyde (MDA) content and the number of microorganisms, 63.98%, and 9.17%, respectively. In general, the PEF-treated apples retained a high level of quality. These results suggested that PEF treatment is a promising technology for extending the storage period of fresh-cut apples. Full article
(This article belongs to the Special Issue Nondestructive Testing and Intelligent Processing for Agricultural Products)
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