Recent Advances in Electrochemical Biosensors for the Detection of Milk Adulterants. [PDF]
Sangubotla R, Mastan A, Kim J.
europepmc +1 more source
AI-Enabled Next-Generation Dairy Systems: From Sensors to Smart Processing. [PDF]
Erol Z, Rugji J, Hamadani A, Hamadani H.
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Near-Infrared Spectroscopy in Food Analysis: Applications, Chemometric Strategies, and Technological Advances. [PDF]
Dai L, Luo D, Zhang J, Chen Y, Li C.
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Assessment of physicochemical properties and bacteriological quality of raw cow milk along the Dairy Value Chain in Mekelle City, Tigray, Ethiopia. [PDF]
Ambaye G +5 more
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Maleic acid assisted facile plasmonic chip for assessment of adulterants in cattle milk. [PDF]
Das U, Dhar T, Biswas R, Mazumder N.
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Assessment of buffalo and bovine ghee authenticity using fatty acid profile analysis and FTIR spectroscopy. [PDF]
Ali AH +7 more
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Machine Learning and the Use of Spectroscopy for Adulteration Detection in Turmeric Powder. [PDF]
Kisalaei A +5 more
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Foodborne illness outbreaks attributed to chemical hazards in the United States, 2011-2025. [PDF]
Weed B +3 more
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Assessing Milk Authenticity Using Protein and Peptide Biomarkers: A Decade of Progress in Species Differentiation and Fraud Detection. [PDF]
Karamoutsios A +6 more
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Development of a 3D-Printed Photometric Device for the Determination of Urea in Milk Samples. [PDF]
Dos Santos Trindade N +6 more
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