4.7 Article

Application of ATR-FTIR spectroscopy for profiling of non-structural carbohydrates in onion (Allium cepa L.) bulbs

期刊

FOOD CHEMISTRY
卷 360, 期 -, 页码 -

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ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2021.129978

关键词

Infrared spectroscopy; Onion juice; Bootstrapping; Carbohydrate profiling; Quantification; Fructooligosaccharides; Non-structural carbohydrates; HPLC-ELSD

资金

  1. state of Lower Saxony [FKZ W380143435]

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The study investigates the use of ATR-FTIR spectroscopy for carbohydrate profiling of onion juice, and generates detailed carbohydrate profiles using HPLC-ELSD technology. Hierarchical cluster analysis and bootstrap method are successfully applied for classifying onions based on carbohydrate profiles, and a reliable quantification method is developed using HPLC and ATR-FTIR data.
Qualitative and quantitative composition of non-structural carbohydrates comprising glucose, fructose, sucrose and fructooligosaccharides (FOS) is one of the key determinants of market suitability, storability and technological processability of onions. To develop a cost-effective and rapid tool for carbohydrate profiling, applicability of attenuated total reflectance Fourier-transform infrared (ATR-FTIR) spectroscopy of onion juice was investigated with special regard to FOS patterns. As reference, detailed carbohydrate profiles of onion juices were generated by high-performance liquid chromatography coupled with evaporative light scattering detection (HPLC-ELSD). Hierarchical cluster analysis (HCA) of ATR-FTIR spectra was successfully applied for classifying onions into fresh market, storage and dehydrator type according to HPLC-ELSD profiles. A bootstrapping method for automatized test-set validation by projection to latent structures (PLS) algorithms using HPLC and ATR-FTIR spectroscopy data was developed. Model statistics showed promising perspectives for reliable quantification of individual saccharides and sum parameters. The presented methodology allows estimating the nutritional and pre-biotic value directly during cultivation and processing.

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