Advanced evaluation techniques: Gas sensor networks, machine learning, and chemometrics for fraud detection in plant and animal products
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Elsevier BV
Reference187 articles.
1. Chemometrics and Authenticity of Foods of Plant Origin;Agriopoulou,2022
2. E-nose coupled with an artificial neural network to detection of fraud in pure and industrial fruit juices;Rasekh;Int. J. Food Prop.,2021
3. Application of electronic nose with chemometrics methods to the detection of juices fraud;Rasekh;J. Food Process. Preserv.,2021
4. Application of the E-nose machine system to detect adulterations in mixed edible oils using chemometrics methods;Karami;J. Food Process. Preserv.,2020
5. Classification and identification of essential oils from herbs and fruits based on a MOS Electronic-Nose Technology;Rasekh;Chemosensors,2021
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1. Detecting whey adulteration of powdered milk by analysis of volatile emissions using a MOS electronic nose;International Dairy Journal;2024-10
2. Application of gas sensor technology to locate victims in mass disasters – a review;Natural Hazards;2024-08-14
3. Portable and miniature sensors in supply chain for food authentication: a review;Critical Reviews in Food Science and Nutrition;2024-07-27
4. Volatilomics as a tool to ascertain food adulteration, authenticity, and origin;Comprehensive Reviews in Food Science and Food Safety;2024-06-12
5. Possibilities of an Electronic Nose on Piezoelectric Sensors with Polycomposite Coatings to Investigate the Microbiological Indicators of Milk;Sensors;2024-06-04
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