Results 151 to 160 of about 12,972 (223)

HS-SPME-GC-MS Coupled with Chemometrics for Detecting HFCS and Invert Sugar Adulteration in Coriander Honey. [PDF]

Foods
Pourmoradian A, Barzegar M, Noguera-Artiaga L, Carbonell-Barrachina ÁA.   +3 more
europepmc   +1 more source

FTIR Spectroscopy Coupled with Principal Component Analysis for Rapid Screening of Melamine Adulteration in Brown Rice Flour. [PDF]

Molecules
Pintilii C, Cozmuta LM, Szakacs Z, Mihaly Cozmuta A.   +3 more
europepmc   +1 more source

A Multi-Task Learning Model Based on DTP-MMoE for Identification of Olive Oil Multi-Adulteration Using Raman Spectroscopy. [PDF]

Foods
Qin X, Chen Y, Li B, Zeng S, Mei G, Yu C.   +5 more
europepmc   +1 more source

Machine Learning and the Use of Spectroscopy for Adulteration Detection in Turmeric Powder. [PDF]

Molecules
Kisalaei A, Sharabiani VR, Banakar A, Taghinezhad E, Szymanek M, Dziwulska-Hunek A.   +5 more
europepmc   +1 more source

Comparative Evaluation of Portable and Benchtop NIR Spectroscopy and Hyperspectral Imaging for Detecting Honey Adulteration. [PDF]

Sensors (Basel)
Bilgin AB, Vega-Castellote M, Entrenas JA, Torres-Rodríguez I, Aykas DP, Basaran P, Pérez-Marín D.   +6 more
europepmc   +1 more source

Food Fraud Implications and Regulatory Challenges in South Africa: A Review. [PDF]

Foods
Shuping LS, Lebelo K.
europepmc   +1 more source

A Fluorescence-Based Sensor Combined with Chemometric and Deep Learning Approaches for Detecting and Quantifying Coconut Milk Fraud in Bovine Milk. [PDF]

Sensors (Basel)
Cahyarani SMD, Lee H.
europepmc   +1 more source

A Poultry Universal Primer-Based Fluorescent PCR (PUP-fPCR) for Simultaneous Identification and Quantification of Chicken, Quail, Duck, and Goose Meat Species. [PDF]

Molecules
Li Y, Cao H, Chen G, Wang X, Yang Q, Zhang M, Yang J, Zhou R, Wang W.   +8 more
europepmc   +1 more source

A Validation-Driven Explainable Deep Ensemble Framework for Image-Based Saffron Adulteration Detection. [PDF]

Foods
Bukhari SNH, Ogudo KA.
europepmc   +1 more source

Near-Infrared Spectroscopy in Food Analysis: Applications, Chemometric Strategies, and Technological Advances. [PDF]

Foods
Dai L, Luo D, Zhang J, Chen Y, Li C.
europepmc   +1 more source