ArticleFoods (Basel, Switzerland)2021
Detection of Meat Adulteration Using Spectroscopy-Based Sensors.
Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Leakage-Free Benchmarking of Electronic Noses for Beef Freshness: A Signal-Richness Criterion for Model Selection.Foods (Basel, Switzerland) · 2026Article
- The Feasibility of Artificial Intelligence and Raman Spectroscopy for Determining the Authenticity of Minced Meat.Foods (Basel, Switzerland) · 2025Article
- The Effect of the Level of Goat Liver Addition to Goat Minced Meat on the Near-Infrared Spectra, Colour, and Shelf Life of Samples.Foods (Basel, Switzerland) · 2025Article
- Recent Advances in Biosensor Technologies for Meat Production Chain.Foods (Basel, Switzerland) · 2025Review
- Visible feature engineering to detect fraud in black and red peppers.Scientific reports · 2024Article
- Analysis of species adulteration in beef sausage using real-time polymerase chain reaction in Makassar, Indonesia.Veterinary world · 2024Article
- High-Oleic Sunflower Oil as a Potential Substitute for Palm Oil in Sugar Coatings-A Comparative Quality Determination Using Multispectral Imaging and an Electronic Nose.Foods (Basel, Switzerland) · 2024Article
- Deep machine learning identified fish flesh using multispectral imaging.Current research in food science · 2024Article
- Design and development of a rapid meat detection system based on RPA-CRISPR/Cas12a-LFD.Current research in food science · 2023Article
- Visual Detection of Chicken Adulteration Based on a Lateral Flow Strip-PCR Strategy.Foods (Basel, Switzerland) · 2022Article
- Evaluation of Mutton Adulteration under the Effect of Mutton Flavour Essence Using Hyperspectral Imaging Combined with Machine Learning and Sparrow Search Algorithm.Foods (Basel, Switzerland) · 2022Article
- Applications of Fluorescence Spectroscopy, RGB- and MultiSpectral Imaging for Quality Determinations of White Meat: A Review.Biosensors · 2022Review
- Microbiological Quality Assessment of Chicken Thigh Fillets Using Spectroscopic Sensors and Multivariate Data Analysis.Foods (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Minced meat is a vulnerable to adulteration food commodity because species- and/or tissue-specific morphological characteristics cannot be easily identified. Hence, the economically motivated adulteration of minced meat is rather likely to be practiced. The objective of this work was to assess the potential of spectroscopy-based sensors in detecting fraudulent minced meat substitution, specifically of (i) beef with bovine offal and (ii) pork with chicken (and vice versa) both in fresh and frozen-thawed samples. For each case, meat pieces were minced and mixed so that different levels of adulteration with a 25% increment were achieved while two categories of pure meat also were considered. From each level of adulteration, six different samples were prepared. In total, 120 samples were subjected to visible (Vis) and fluorescence (Fluo) spectra and multispectral image (MSI) acquisition. Support Vector Machine classification models were developed and evaluated. The MSI-based models outperformed the ones based on the other sensors with accuracy scores varying from 87% to 100%. The Vis-based models followed in terms of accuracy with attained scores varying from 57% to 97% while the lowest performance was demonstrated by the Fluo-based models. Overall, spectroscopic data hold a considerable potential for the detection and quantification of minced meat adulteration, which, however, appears to be sensor-specific.
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