Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
The article summarizes current physical and chemical methods in food processing as storage, preparation, separation, isolation or purification and thermal application on the one hand as well as enzymatic treatment on the other and their impact on the properties of food proteins. Novel methods of food processing like high pressure, electric field application or irradiation and their impact on food allergens are presented. The EU project REDALL (Reduced Allergenicity of Processed Foods, Containing Animal Allergens: QLK1-CT-2002-02687) showed that by a combination of enzyme and heat treatment the allergic potential of hen's egg decreased about 100 fold. Clinical reactions do not appear anymore. An AiF-FV 12024 N project worked with fruits like mango, lychee and apple. Processed mango and lychee had no change in allergenic potential during heating while e. g. canning. Apple almost lost its allergenic potential after pasteurization in juice production.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/mnfr.200800187 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Biodegradation of patulin in apple juice by phosphoribosyl transferase (URA5): implications for food safety.
BMC Biotechnol
September 2025
Faculty of Science, Department of Biotechnology and Food Technology, University of Johannesburg, P.O. Box 17011, Doornfontein, Johannesburg, Gauteng, 2028, South Africa.
Patulin (PAT), a mycotoxin produced primarily by Penicillium expansum, poses significant health risks and frequently contaminates apples and apple-derived products, often exceeding permissible safety limits. This study investigated the potential of orotate phosphoribosyl transferase (URA5) to degrade PAT in apple juice under controlled conditions. PAT degradation was assessed at initial concentrations of 100 µg/L and 250 µg/L, with enzymatic treatment using 0.
View Article and Find Full Text PDFUltrasensitive and specific electrochemical detection of Escherichia coli via functionalized magnetic nanoparticles by time-frequency analysis.
Anal Bioanal Chem
September 2025
School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou, 310018, China.
The prompt and accurate identification of pathogenic bacteria is crucial for mitigating the transmission of infections. Conventional detection methods face limitations, including lengthy processing, complex sample pretreatment, high instrumentation costs, and insufficient sensitivity for rapid on-site screening. To address these challenges, an aptamer (Apt)-sensor based on functionalized magnetic nanoparticles (MNPs) was developed for detecting Escherichia coli.
View Article and Find Full Text PDFAggregates in cold-stored platelet units have diverse phenotypes and are removed by pre-transfusion filters.
Vox Sang
September 2025
Vitalant Innovation Center, Denver, Colorado, USA.
Background And Objectives: The US Food and Drug Administration guidance for cold-stored platelets (CSPs) permits storage of apheresis platelets at 1-6°C for ≤14 days. During a pilot programme, CSPs were evaluated in a large US blood centre over a 10-month period (September 2023 to July 2024) to better understand the formation of aggregates under routine use.
Materials And Methods: Platelets collected in 100% plasma were moved into cold storage within 4 h of collection and shipped to local hospitals.
ResDeepGS: A deep learning-based method for crop phenotype prediction.
Methods
September 2025
School of Computer and Information Engineering, Henan University, Kaifeng, Henan, China; Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, Henan, China. Electronic address:
Genomic selection (GS) is a breeding technique that utilizes genomic markers to predict the genetic potential of crops and animals. This approach holds significant promise for accelerating the improvement of agronomic traits and addressing food security challenges. While traditional breeding methods based on statistical or machine learning techniques have been useful in predicting traits for some crops, they often fail to capture the complex interactions between genotypes and phenotypes.
View Article and Find Full Text PDF