AI-Powered Optical Fiber Sensor Spots Which Animal Your Gelatin Came From in Seconds
A 50-nanometer gold-coated optical fiber sensor combined with a machine-learning classifier distinguishes bovine, porcine, and fish gelatin with 96.55% accuracy ...
A 50-nanometer gold-coated optical fiber sensor combined with a machine-learning classifier distinguishes bovine, porcine, and fish gelatin with 96.55% accuracy ...
Chinese researchers have built an interpretable FTIR spectroscopy and machine learning framework that reliably distinguishes raw, nine-steamed-and-nine-sun-dried, honey-processed, and wine-processed ...
A new study shows that a combination of physicochemical measurements, volatile profiling and untargeted metabolomics can reliably trace Chinese honeys ...
A new review in Food Chemistry: X shows that differential scanning calorimetry and thermogravimetric analysis, boosted by chemometrics and artificial ...
A new chemometric study ranks five Guizhou teas by integrating thermogravimetric, amino acid, and trace element data into an objective ...
An enhanced mass spectrometry workflow that corrects for in-source fragment ions can authenticate the geographical origin and commercial grade of ...
An integrated metabolomics and lipidomics study of Hong Kong lettuce shows that organic and conventional farming leave distinct chemical fingerprints, ...
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© 2025 Scienmag - Science Magazine