Application of segmented analysis via multivariate curve resolution with alternating least squares to 1H-nuclear magnetic resonance spectroscopy to identify different sugar sources

Date

2023-12-01

Author

Fuentes, Cristian A.
Öztop, Halil Mecit
Rojas-Rioseco, Macarena
Bravo, Martín
Göksu, Aylin Özgür
Manley, Marena
Castillo, Rosario del P.

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The different types of sugar employed in the food industry exhibit chemical similarity and are mostly dominated by sucrose. Owing to the sugar origin of and differences in production, the presence of certain minor organic compounds differs. To differentiate between sugars based on their botanical source, geographical origin, or storage conditions, commercial brown sugars and sugar beet extracts were analyzed by 1H NMR spectroscopy applying a segmented analysis by means of multivariate curve resolution-alternating least squares (MCR–ALS). Principal component analysis and partial least squares-discriminant analysis yielded excellent differentiation between sugars from different sources after the application of this preprocessing strategy; without loss of chemical information and with direct interpretation of the results. By applying a segmented analysis via MCR–ALS to 1H NMR sugar data, similar spectroscopic profiles could be differentiated. This improved the selectivity of 1H NMR spectroscopy for sugar source differentiation which can be useful for industrial sugar authentication purposes.

Subject Keywords

1H NMR spectroscopy, Brown sugar, Multivariate analysis, Preprocessing, Sugar beet

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85164986015&origin=inward
https://hdl.handle.net/11511/104955

Collections

Department of Food Engineering, Article