Results 161 to 170 of about 25,733 (231)
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
Synergizing machine learning and chemometrics with voltammetric fingerprinting for the rapid detection of <i>Piper retrofractum</i> adulteration. [PDF]
Nikma SH +3 more
europepmc +1 more source
Meat freshness monitoring is illustrated as an integrated system that links spoilage mechanisms to advanced detection and digital technologies. Microbial activity, enzymatic degradation, and chemical oxidation generate measurable changes in meat quality.
Md Abu Rayhan +4 more
wiley +1 more source
Hong Kong Poison Information Centre: Annual report 2022
Abstract Background The Hong Kong Poison Information Centre (HKPIC) has been providing consultation services to healthcare professionals and collecting epidemiological data on poisoning in Hong Kong since 2005. Objective To analyse and report the poisoning data from HKPIC in 2022.
Tin Yat Anthony Chow +4 more
wiley +1 more source
Determining the Authenticity of Ghanaian Honeys Using Stable Isotope Ratio Analysis (SIRA). [PDF]
Kpattah L +4 more
europepmc +1 more source
ABSTRACT This article investigates whether the unconventional monetary policy (UMP) measures pursued by the Federal Reserve, the Bank of England, the Bank of Japan, and the European Central Bank since the Global Financial Crisis (GFC) are associated with an appetite for cryptocurrency.
Niamh Wylie, Martha O'Hagan‐Luff
wiley +1 more source
NIR-Based Adulteration Screening of <i>Rubus chingii</i> Hu: A Two-Dimensional Correlation Spectroscopy-Guided Chemometric Strategy with Model-Dependent Variable Selection. [PDF]
Wang Y, Wang Y, Chen Y.
europepmc +1 more source
Abstract BACKGROUND Red wine is a high‐value grape derivative containing complex chemical compounds that dictate its quality. Qualitative and quantitative determination of these compounds is essential for standardizing and classifying the product. This proof‐of‐concept study integrates chemometric methods and machine learning algorithms to establish ...
Emirhan Atlayan +2 more
wiley +1 more source
Patvorenje hrane predstavlja ozbiljan problem s kojim se danas sve češće susrećemo u prehrambenoj industriji. Bilo da se radi o zamjeni visokokvalitetne namirnice niskokvalitetnom ili dodavanju nedeklariranih sastojaka, utjecaj na sigurnost hrane i ...
Fabac, Marija
core +1 more source
Multi-Platform Metabolomics for Fraud Detection in Spices and Botanical Food Supplements: From Fingerprint Acquisition to Decision-Grade Evidence. [PDF]
Gođevac D +6 more
europepmc +1 more source

