AIMC Topic: Fermented Foods

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Biogenic amines in fermented foods: A comprehensive review from formation pathways, risk analysis, detection technologies to control measures.

Food research international (Ottawa, Ont.)
Biogenic amines (BAs), typically arising from the fermentation of protein-rich food matrices or products with extended fermentation cycles, posing significant food safety concerns. Excessive intake or long-term accumulation may lead to health hazards...

Recent advances in analytical approaches for aroma interaction of fermented foods: A review.

Food chemistry
The research of aroma interaction in fermented food is of great significance for in-depth analysis of aroma formation mechanism. The analytical approach for aroma interaction is the bridge between aroma perception and interaction mechanism. This revi...

Comparative machine learning strategies for improving antioxidant properties and aroma quality in fermented mung bean milkby Lactobacillus plantarum PC4.

International journal of food microbiology
This study compares least squares support vector machine (LSSVM) and artificial neural network (ANN) models, integrated with the NSGA-II algorithm, to optimize the fermentation of mung bean milk by Lactobacillus plantarum PC4. Given its superior pred...

Microbes in Fermentation: Guardians or Threats to Food Safety?

Journal of agricultural and food chemistry
Fermentation plays a pivotal role in food preservation, with fermentative microbes enhancing food safety and stability. However, improper conditions can introduce risks. This perspective examines the dual role of microbes (the benefits of fermentativ...

Deep learning-based multimodal fusion for quality prediction of chili paste using hyperspectral imaging and near-infrared spectroscopy.

Food chemistry
A deep learning-based intelligent multimodal system was developed to non-destructively evaluate chili paste quality by fusing color features extracted from hyperspectral images acquired by Hyperspectral Imaging (HSI), spectral features derived from H...

Microbiomics and machine learning-assisted approaches reveal amino acid patterns in high-temperature Daqu.

Food chemistry
Amino acids are crucial nitrogen sources in high-temperature Daqu (HTD), and they can significantly influence the quality of HTD. This study investigated amino acid patterns by analyzing fermentation parameters and microbial communities. Correlation ...

Classification of subspecies based on MALDI-TOF MS protein profiles using machine learning models.

Microbiology spectrum
UNLABELLED: is an important bacterial species used as a starter culture for fermented foods; however, two subspecies within this species exhibit different properties in the foods. Matrix-assisted laser desorption/ionization-time of flight mass spect...

Rapid determination of starch and alcohol contents in fermented grains by hyperspectral imaging combined with data fusion techniques.

Journal of food science
Starch and alcohol serve as pivotal indicators in assessing the quality of lees fermentation. In this paper, two hyperspectral imaging (HSI) techniques (visible-near-infrared (Vis-NIR) and NIR) were utilized to acquire separate HSI data, which were t...

Metatranscriptomics reveals the gene functions and metabolic properties of the major microbial community during Chinese Sichuan Paocai fermentation.

Food microbiology
Chinese Sichuan Paocai (CSP) is one of the world's best-known fermented vegetables with a large presence in the Chinese market. The dynamic microbial community is the main contributor to Paocai fermentation. However, little is known about the ecologi...

Antimicrobial Characteristics of Lactic Acid Bacteria Isolated from Homemade Fermented Foods.

BioMed research international
. Lactic acid bacteria (LAB) were isolated from fermented foods, such as glutinous rice dough, corn noodle, chili sauce, potherb mustard pickles, and stinky tofu, in northeast China. LAB strains with antimicrobial activities were screened, and seven ...