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Food Chem
January 2025
College of Food Science and Technology, Northwest University, Xi'an 710069, Shaanxi, China; Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an 710069, Shaanxi, China; Research Center of Food Safety Risk Assessment and Control, Xi'an 710069, Shaanxi, China. Electronic address:
J Agric Food Chem
June 2024
College of Food Science and Engineering, Northwest A&F University, Yangling 712100, China.
J Fungi (Basel)
February 2024
College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
is the predominant causal agent causing blue mold in postharvest fresh during storage. The pathogen reduces the yield and affects the quality of and even generates patulin, threatening human health. In this study, postharvest fresh, healthy was sprayed with , and the control effect of ozone on postharvest diseases of was studied, and the effect of ozone on the contents in the main active ingredients of was compared; finally, the effect of ozone on reactive oxygen species (ROS) metabolism in was analyzed.
View Article and Find Full Text PDFToxins (Basel)
February 2024
Qualisud, Univ Montpellier, Univ d'Avignon, CIRAD, Institut Agro, IRD, Univ de La Réunion, Montpellier, France.
Patulin is a secondary metabolite primarily synthesized by the fungus , which is responsible for blue mold disease on apples. The latter are highly susceptible to fungal infection in the postharvest stages. Apples destined to produce compotes are processed throughout the year, which implies that long periods of storage are required under controlled atmospheres.
View Article and Find Full Text PDFMycotoxin Res
May 2024
Department of Physical and Chemical Inspection, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China.
This study aimed to establish a high-performance liquid chromatography (HPLC) method to investigate the residues of patulin in apples, hawthorns, and their products. A total of 400 samples were collected from online shopping plats and supermarkets in China, including apples (n = 50), hawthorns (n = 50), and their products (apple juice, apple puree, apple jam, hawthorn juice, hawthorn chips, and hawthorn rolls, n = 300). In this experiment, this method had good linearity and a recovery of 82.
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