High-resolution mass spectrometry combined with advanced chromatography has expanded targeted and untargeted analysis of food metabolites and bioactive compounds.
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Green analytical approaches include miniaturized sample preparation, solvent-free extraction, and less toxic solvents to reduce resource use.
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Chemometrics, machine learning, and AI-assisted workflows help interpret complex food-analysis datasets and identify quality patterns.
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Food analysis still faces challenges in comprehensive coverage, quantitative accuracy, and standardization across laboratories and studies.
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Cacciola anticipates closer integration of chromatography, high-resolution mass spectrometry, and AI, alongside development of real-time food-analysis tools.
