专题：Identification and Quantification in Food

This cluster of papers focuses on the use of DNA barcoding and PCR-based methods for authenticating food products, detecting fraud, and identifying species in fish and meat. It addresses issues such as market substitution, mislabeling, and adulteration, with a specific emphasis on traceability and species identification in the food industry.
最新文献
Nondestructive Identification of Wheat Species using Deep Convolutional Networks with Oversampling Strategies on Near-Infrared Hyperspectral Imagery

article Full Text OpenAlex

Identification and quantification of goat milk adulteration using mid-infrared spectroscopy and chemometrics

article Full Text OpenAlex

Disentangling the veil line for Brazilian biodiversity: An overview from two long-term research programs reveals huge gaps in ecological data reporting

review Full Text OpenAlex

Monitoring of meat quality and change-point detection by a sensor array and profiling of bacterial communities

article Full Text OpenAlex

Enhanced deep learning models for automatic fish species identification in underwater imagery

article Full Text OpenAlex

Twenty‐three years of PCR‐based seafood authentication assay development: What have we learned?

review Full Text OpenAlex

Effects of deep, air and vacuum frying on oyster quality and protein-mediated mechanism analysis via TMT quantitative proteomics

article Full Text OpenAlex

Comprehensive DNA metabarcoding-based detection of non-indigenous invertebrates in recreational marinas through a multi-substrate approach

article Full Text OpenAlex

Detection of hidden bruises on kiwifruit using hyperspectral imaging combined with deep learning

article Full Text OpenAlex

Enhanced data preprocessing with novel window function in Raman spectroscopy: Leveraging feature selection and machine learning for raspberry origin identification

article Full Text OpenAlex

近5年高被引文献
Sanger Tree of Life RNA Extraction: Automated MagMax™ mirVana v1

preprint Full Text OpenAlex 428 FWCI79.46693447

Environmental DNA (eDNA) as a tool for assessing fish biomass: A review of approaches and future considerations for resource surveys

review Full Text OpenAlex 365 FWCI44.82412665

Recent advances in gold nanoparticles-based biosensors for food safety detection

review Full Text OpenAlex 351 FWCI50.71772535

Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices

article Full Text OpenAlex 341 FWCI27.84844867

BRAKER3: Fully automated genome annotation using RNA-seq and protein evidence with GeneMark-ETP, AUGUSTUS, and TSEBRA

article Full Text OpenAlex 340 FWCI159.44207874

Deep learning in food category recognition

article Full Text OpenAlex 309 FWCI49.09331737

Deep learning and machine vision for food processing: A survey

review Full Text OpenAlex 309 FWCI26.80738517

Vibrio and major commercially important vibriosis diseases in decapod crustaceans

article Full Text OpenAlex 280 FWCI34.86086956

Application of Artificial Intelligence in Food Industry—a Guideline

review Full Text OpenAlex 248 FWCI13.30593078

DNA barcoding, an effective tool for species identification: a review

review Full Text OpenAlex 243 FWCI30.15194371