Results 151 to 160 of about 2,795,506 (214)
A Validation-Driven Explainable Deep Ensemble Framework for Image-Based Saffron Adulteration Detection. [PDF]
Bukhari SNH, Ogudo KA.
europepmc +1 more source
Adolescent impulsivity is linked to increased alcohol seeking and altered activation of anterior insular PV interneurons. Chemogenetic modulation of these neurons regulates inhibitory control and alcohol‐related behaviors, highlighting their role in vulnerability to alcohol use disorder.
F. Bezerra +8 more
wiley +1 more source
A fully integrated magnetofluidic system enabled by a wax phase barrier for automated multiplex meat adulteration detection. [PDF]
Zhou T, Li C, Chen D, Wang J, Li N.
europepmc +1 more source
Identification and Validation of Metabolic Markers for Adulteration Detection of Edible Oils Using Metabolic Networks. [PDF]
Dou X +10 more
europepmc +1 more source
First Australian study combining wastewater‐based epidemiology and drug checking, demonstrating how complementary data sources enhance monitoring of illicit drugs and emerging psychoactive substances during high‐use periods. ABSTRACT Consumption of psychotropic drugs is a major economic and public health challenge in Australia.
Muhammad Usman +8 more
wiley +1 more source
MOX Sensors for Authenticity Assessment and Adulteration Detection in Extra Virgin Olive Oil (EVOO). [PDF]
Poeta E +5 more
europepmc +1 more source
A validated LC‐HRMS/MS method enabled the first quantitative determination of the LGD‐4033 long‐term metabolite (M5‐b) in urine following controlled micro‐dose administration. The generated urinary reference data support the interpretation of adverse analytical findings and anti‐doping result management. ABSTRACT Selective androgen receptor modulators (
Panagiotis Sakellariou +7 more
wiley +1 more source
Honey adulteration detection using the HS-SPME-IMS technique combined with chemometric analysis. [PDF]
Pourmoradian A +3 more
europepmc +1 more source
Portable NIRS combined with machine learning enabled rapid and accurate authentication of cattle and buffalo meat. Optimized models (XGBoost, CNN) achieved > 98% accuracy, while SHAP revealed key spectral regions. This dual approach offers a field‐ready, reagent‐free tool for fraud prevention and traceability. ABSTRACT Ensuring the authenticity of high‐
Dip Ghosh, Raad Al Deen, Md. Abul Hashem
wiley +1 more source
Adulteration Detection of Multi-Species Vegetable Oils in Camellia Oil Using SICRIT-HRMS and Machine Learning Methods. [PDF]
Wang M +6 more
europepmc +1 more source

