Machine Learning Spots Toxic Dye in Henna With Light Alone
Researchers combined UV–Vis–NIR spectroscopy with machine learning and metaheuristic wavelength selection to detect toxic para-phenylenediamine adulteration in henna non-destructively.
Tag: food adulteration
Nanomaterial Sensors Catch Toxic Food Adulterants at Ultra-Trace Levels
A comprehensive review shows how nanomaterial-engineered electrochemical sensors are achieving ultra-trace detection of the food adulterants melamine and clenbuterol in ...
Electronic Noses Learn to Sniff Out Food Fraud and Spoilage
A new review shows electronic nose technology can detect food spoilage, adulteration and fraud with remarkable accuracy, while warning that ...
Pocket-Sized Sensor and AI Team Up to Catch Fake Coffee in Minutes
A portable electrochemical sensor combined with machine learning can identify Arabica and Robusta coffee and predict blend ratios within minutes, ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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