What does this research mean for the field?

The integration of advanced hyphenated frameworks, transition metal nanomaterials, and machine learning algorithms overcomes the limitations of traditional chromatographic methods, enabling a transition toward decentralized, field-deployable screening for sugars and sugar alcohols in foods. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To provide an application-oriented decision framework evaluating analytical platforms for sugars and sugar alcohols across diverse food matrices based on complexity, sensitivity, and sustainability.

August 14, 2026Food Reviews International

Analytical Methods for Sugars and Sugar Alcohols in Foods – Review Article

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To provide an application-oriented decision framework evaluating analytical platforms for sugars and sugar alcohols across diverse food matrices based on complexity, sensitivity, and sustainability.
Reviewed conventional chromatography (HPLC-RID/ELSD) and hyphenated platforms (HILIC-MS/MS, HPAEC-PAD), evaluating operational trade-offs and matrix-specific limitations.
Examined the integration of advanced transition metal nanomaterials (MOFs, nanowires, nanostructured foams) and machine learning algorithms for decentralized screening.
Identified platform-specific limitations, including baseline instability and poor resolution in HPLC-RID, alongside ESI ionization suppression and electrode fouling in advanced systems.
Constructed a decision framework integrating green foodomics paradigms to guide method selection from centralized laboratory assays to field-deployable automated networks.

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Implication

Review demonstrates analytical trade-offs and digital workflows for profiling sugars and sugar alcohols in food matrices, highlighting the shift toward decentralized screening.

Cite This Study

Özdemir et al. (2026) studied this question.

synapsesocial.com/papers/6a7ec7aab70b84ec8b9142b7 https://doi.org/10.1080/87559129.2026.2716339

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Implication

Review demonstrates analytical trade-offs and digital workflows for profiling sugars and sugar alcohols in food matrices, highlighting the shift toward decentralized screening.

Analytical Methods for Sugars and Sugar Alcohols in Foods – Review Article

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Discussion

Implication

Cite This Study

Analytical Methods for Sugars and Sugar Alcohols in Foods – Review Article

Key Points

Discussion

Implication

Cite This Study

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