5 Key Takeaways
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1
High-resolution mass spectrometry combined with advanced chromatography has expanded targeted and untargeted analysis of food metabolites and bioactive compounds.
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2
Green analytical approaches include miniaturized sample preparation, solvent-free extraction, and less toxic solvents to reduce resource use.
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3
Chemometrics, machine learning, and AI-assisted workflows help interpret complex food-analysis datasets and identify quality patterns.
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4
Food analysis still faces challenges in comprehensive coverage, quantitative accuracy, and standardization across laboratories and studies.
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5
Cacciola anticipates closer integration of chromatography, high-resolution mass spectrometry, and AI, alongside development of real-time food-analysis tools.
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.
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