- P-ISSN 1225-0163
- E-ISSN 2288-8985
- P-ISSN1225-0163
- E-ISSN2288-8985
- SCOPUS, ESCI, KCI
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Classification of potatoes by geographical origin and cultivar based on volatile compounds and proximate composition properties: A review
Analytical Science and Technology / Analytical Science and Technology, (P)1225-0163; (E)2288-8985
2026, v.39 no.3, pp.115-130
https://doi.org/10.5806/AST.2026.39.3.115
(Department of Food Science and Biotechnology, Sungshin Women's University)
(Department of Food Science and Biotechnology, Sungshin Women's University)
(Department of Food Science and Biotechnology, Sungshin Women's University)
(Department of Food Science and Biotechnology, Sungshin Women's University)
(Department of Food Science and Biotechnology, Sungshin Women's University)
Jang,
H. W., Lee,
Y., &
Han,
Y.
(2026). Classification of potatoes by geographical origin and cultivar based on volatile compounds and proximate composition properties: A review, 39(3), 115-130, https://doi.org/10.5806/AST.2026.39.3.115
Abstract
Potatoes exhibit substantial variability in chemical composition depending on cultivar, geographical origin, and environmental factors. This review summarizes compositional and volatile profiles of potatoes from Korea, Europe, China, and the Americas. Thermal processing such as boiling, baking, and frying alters volatile profiles through lipid oxidation and Maillard reactions. Variations in proteins, amino acids, starch, sugars, minerals, and lipids influence processing suitability and flavor development. Recent analytical approaches applying elemental and isotopic analyses, volatile profiling, and multivariate statistics have been used to discriminate potato cultivars and origins. Elemental and isotopic markers provide high accuracy, whereas volatilebased indicators have potential, particularly when used in combination with other compositional markers. Integrating compositional, isotopic, and volatile information offers an effective framework for reliable potato classification.
- keywords
- potato; geographical origin; volatile compounds; non-volatile compounds; multivariate statistical analysis
Graphical Abstract
- Received
- 2026-03-31
- Revised
- 2026-04-24
- Accepted
- 2026-05-21
- Published
- 2026-06-01
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