Literature DB >> 11087444

Determination of the degree of succinylation in diverse modified starches by raman spectroscopy.

D L Phillips1, J Xing, C K Chong, H Liu, H Corke.   

Abstract

A method using Raman spectroscopy was recently developed for the determination of the degree of substitution of succinate in waxy maize starch. In this paper it is demonstrated that the method can be generalized to a wide range of starches of different amylose contents and botanical origins. Raman calibration sets were used to form regression equations for five types of succinylated starches, that is, waxy, regular, and two high-amylose maize samples (47 and 66% amylose, respectively) and wheat. The derived calibration curves can be used to find the degree of substitution in samples with unknown levels of succinylation. The Raman calibration lines had linear correlation coefficients of 0.995 or better and enable the fast and nondestructive determination of the degree of substitution of succinate for different types of starches with minimal sample preparation. Also discussed is the potential utility of Raman spectroscopy to simultaneously determine the degree of substitution of succinate and amylose content, using previously determined calibration curves developed for the amylose content of maize starches.

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Year:  2000        PMID: 11087444     DOI: 10.1021/jf9907790

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  4 in total

1.  Preparation and characterization of octenyl succinylated normal and waxy starches of maize as encapsulating agents for anthocyanins by spray-drying.

Authors:  Yunia Verónica García-Tejeda; Yolanda Salinas-Moreno; Víctor Barrera-Figueroa; Fernando Martínez-Bustos
Journal:  J Food Sci Technol       Date:  2018-04-27       Impact factor: 2.701

Review 2.  Large-Scale Assessment of Bioinformatics Tools for Lysine Succinylation Sites.

Authors:  Md Mehedi Hasan; Mst Shamima Khatun; Hiroyuki Kurata
Journal:  Cells       Date:  2019-01-28       Impact factor: 6.600

3.  Raman Molecular Fingerprints of Rice Nutritional Quality and the Concept of Raman Barcode.

Authors:  Giuseppe Pezzotti; Wenliang Zhu; Haruna Chikaguchi; Elia Marin; Francesco Boschetto; Takehiro Masumura; Yo-Ichiro Sato; Tetsuya Nakazaki
Journal:  Front Nutr       Date:  2021-06-23

4.  Raman Fingerprints of Rice Nutritional Quality: A Comparison between Japanese Koshihikari and Internationally Renowned Cultivars.

Authors:  Giuseppe Pezzotti; Wenliang Zhu; Yuuki Hashimoto; Elia Marin; Takehiro Masumura; Yo-Ichiro Sato; Tetsuya Nakazaki
Journal:  Foods       Date:  2021-11-29
  4 in total

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