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HS-GC-IMS is described as a greener, efficient cocoa analysis approach
Hydrogen-based GC-IMS combined with machine learning enables rapid, sustainable classification of cocoa by geographic origin without sample preparation.
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Circular economy adoption is linked to better sustainable business performance
Framework integrating circular economy adoption with sustainable business performance in Indian automobile manufacturing using DEMATEL, PLS-SEM, and neural network analysis.
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Quantitative Analysis of Polyphenols in Lonicera caerulea Based on Mid-Infrared Spectroscopy and Hybrid Variable Selection
Mid-infrared spectroscopy with hybrid variable selection for quantitative polyphenol analysis in Lonicera caerulea, achieving 92% predictive accuracy in high-dimensional small-sample modeling.