Amylose content in starches: Toward optimal definition and validating experimental methods

Vilaplana, Francisco, Hasjim, Jovin and Gilbert, Robert G. (2012) Amylose content in starches: Toward optimal definition and validating experimental methods. Carbohydrate Polymers, 88 1: 103-111. doi:10.1016/j.carbpol.2011.11.072

Author Vilaplana, Francisco
Hasjim, Jovin
Gilbert, Robert G.
Title Amylose content in starches: Toward optimal definition and validating experimental methods
Journal name Carbohydrate Polymers   Check publisher's open access policy
ISSN 0144-8617
Publication date 2012-03-17
Year available 2011
Sub-type Article (original research)
DOI 10.1016/j.carbpol.2011.11.072
Open Access Status DOI
Volume 88
Issue 1
Start page 103
End page 111
Total pages 9
Place of publication Oxford, United Kingdom
Publisher Pergamon
Language eng
Subject 2507 Polymers and Plastics
1605 Organic Chemistry
2505 Materials Chemistry
Abstract A new analytical method to define and quantify the amylose content in starches is developed using two-dimensional (2D) macromolecular size/branch chain-length distributions obtained by multidimensional size-exclusion chromatography (SEC, also known as GPC) and enzymatic debranching. This method permits clear separation of amylose (low molecular weights, a small number of long-chain branches), amylopectin (high molecular weights, a large number of short-chain branches), long-chain-branched amylopectin and intermediate components. The results are applied to rice starch, normal maize starch, and two “high-amylose” starches (Gelose 50 and Gelose 80) and used to validate four “single-quantity” techniques for measuring amylose content: iodine colorimetry, concanavalin A precipitation, and 1D SEC debranched (or chain-length) and branched distributions. Quantitatively accurate amylose contents can be obtained with the first three single-quantity methods for starch samples with clear separation of the amylose and amylopectin populations, but the 1D SEC branched distribution seriously overestimates the values compared to the other techniques. For high-amylose starches, the definition of amylose content must be taken with caution: it is impossible to separate the different macromolecular populations unambiguously because of the higher abundance of hybrid species. The 2D structural method serves as a reference to identify amylose content and validate single-quantity analytical procedures.
Keyword Starch
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID DP0985694
Institutional Status UQ
Additional Notes Available online 29 November 2011

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