FAYETTEVILLE, GA, UNITED STATES, May 26, 2026 /EINPresswire.com/ — Lead (Pb) contamination in agricultural soils is an invisible threat that can infiltrate food ...
Trivariate maps created using Pb as the optimal element, combined with two of Zn, soil organic C (SOC), and Fe, to show the spatial distribution relations between Pb and Zn, SOC, and Fe in the study ...
Faced with the aggravating issue of meat fraud caused by the addition of low-cost animal blood food, the present work aims to develop FT-NIR-based tracing models for detecting beef adulterated with ...
Food quality and safety monitoring has entered a new phase with the convergence of optical spectroscopy and artificial intelligence. By enabling rapid, non-destructive analysis, AI-enhanced ...
Near-infrared (NIR) spectroscopy is a promising tool for optimizing seed analyses quickly and assertively. The aim of this study was to investigate the viability of NIR in association with chemometric ...
Offline methods such as high-performance liquid chromatography (HPLC) are typically used to verify product quality or confirm reaction completion after processing is finished. This can delay ...
In a significant leap for sustainable manufacturing, artificial intelligence (AI) is increasingly being deployed to transform textile waste sorting - one of the biggest hurdles in closing the loop on ...
Abstract: The accurate detection of honey adulteration is paramount for maintaining the quality and authenticity of honey products. In this study, we introduce a novel feature selection method, termed ...
Over the years, technology has allowed more accurate, more effective, and prompt food integrity assessments to assure the quality and authenticity of food material. Thanks to the development of ...
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