AIMC Topic: Seafood
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Towards sustainable demersal fisheries: NepCon image acquisition system for automatic Nephrops norvegicus detection.
PloS one
Jun 16, 2021
Underwater video monitoring systems are being widely used in fisheries to investigate fish behavior in relation to fishing gear and fishing gear performance during fishing. Such systems can be useful to evaluate the catch composition as well. In deme...
A colorimetric Loop-mediated isothermal amplification (LAMP) assay based on HRP-mimicking molecular beacon for the rapid detection of Vibrio parahaemolyticus.
Biosensors & bioelectronics
Dec 16, 2019
In the world wide, food poisoning accidents related to Vibrio spp. are on the rise, even numbers of food poisoning by other foodborne pathogens are decreasing. Therefore, the requirement of the rapid, sensitive and convenient detection method for V. ...
Aeromonas hydrophila biofilm, exoprotease, and quorum sensing responses to co-cultivation with diverse foodborne pathogens and food spoilage bacteria on crab surfaces.
Biofouling
Jan 30, 2019
The effects of dual species interactions on biofilm formation by Aeromonas hydrophila in the presence of Pseudomonas aeruginosa, Pseudomonas fluorescens, Pectobacterium carotovorum, Salmonella Typhimurium, and Listeria monocytogenes were examined. Hi...
Nondestructive determination of freshness indicators for tilapia fillets stored at various temperatures by hyperspectral imaging coupled with RBF neural networks.
Food chemistry
Sep 15, 2018
This study develops a reliable radial basis function neural networks (RBFNNs) to estimate freshness for tilapia fillets stored under non-isothermal conditions by using optimal wavelengths from hyperspectral imaging (HSI). The results show that, for t...
Rapid screening and multi-toxin profile confirmation of tetrodotoxins and analogues in human body fluids derived from a puffer fish poisoning incident in New Caledonia.
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Dec 30, 2017
In August 2014, a puffer fish poisoning incidence resulting in one fatality was reported in New Caledonia. Although tetrodotoxin (TTX) intoxication was established from the patients' signs and symptoms, the determination of TTX in the patient's urine...
Specialized oxygenated heterocyclics from Villorita cyprinoides with cyclooxygenase-2 and 5-lipoxygenase inhibitory properties.
Food research international (Ottawa, Ont.)
Dec 28, 2017
Villorita cyprinoides is traditional seafood in the coastal regions of Arabian Sea. Bioactivity-guided purification of ethyl acetate:methanol extract of V. cyprinoides resulted in the identification of two O-spirocyclic ether derivatives (1-2) along ...
Assessing the quality of sardine based on biogenic amines using a fuzzy logic model.
Food chemistry
Nov 17, 2016
There is an increasing concern about the quality and quality assessment procedures of seafood. In the present study, a model to assess fish quality based on biogenic amine contents using fuzzy logic model (FLM) is proposed. The fish used was sardine ...
Quality changes and predictive models of radial basis function neural networks for brined common carp (Cyprinus carpio) fillets during frozen storage.
Food chemistry
Jan 21, 2016
To investigate and predict quality of 2% brined common carp (Cyprinus carpio) fillets during frozen storage, free fatty acids (FFA), salt extractable protein (SEP), total sulfhydryl (SH) content, and Ca(2+)-ATPase activity were determined at 261 K, 2...
Fusion of near-infrared and Raman spectroscopy with machine learning strategies: Non-destructive rapid assessment of freshness and TVB-N value prediction in Pacific white shrimp (Litopenaeus vannamei).
Food research international (Ottawa, Ont.)
Aug 1, 2025
Total volatile base nitrogen (TVB-N) is a key indicator of shrimp freshness. Nevertheless, traditional detection methods are cumbersome, time-intensive, and destructive. Here, a rapid and non-destructive method based on near-infrared (NIR) and Raman ...
Quality prediction of seabream Sparus aurata by deep learning algorithms and explainable artificial intelligence.
Food chemistry
May 15, 2025
In this study, Convolutional Neural Network (CNN), DenseNet121, Inception V3 and ResNet50 machine learning algorithms were used to determine the quality changes in sea bream stored in refrigerator conditions using eye and gill images. The sea bream w...
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