Extracting physically useful information from multiple-detection size-separation data for starch

Biomacromolecules

Volumn 10, Issue 9, 2009, Pages 2708-2713

  Gray Weale, Angus A ^a   Cave, Richard A ^b   Gilbert, Robert G ^b  

^a MONASH UNIVERSITY   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AVERAGE DEGREE; DISTANCE SCALE; HOMOPOLYMERS; NATIVE STARCH; NUMBER DISTRIBUTION; NUMBER SIZE DISTRIBUTION; POLYMER SIZES; PSEUDO RANDOM; RANDOM BRANCHING; REFERENCE FUNCTIONS; SIZE SCALE; WEIGHT DISTRIBUTIONS;

CHROMATOGRAPHIC ANALYSIS; FREE RADICAL POLYMERIZATION; MOLECULAR WEIGHT DISTRIBUTION; SIZE EXCLUSION CHROMATOGRAPHY; STARCH;

SIZE SEPARATION;

AMYLOPECTIN; STARCH;

ARTICLE; GEL PERMEATION CHROMATOGRAPHY; HYPOTHESIS; INFORMATION; METHODOLOGY; MOLECULE; PRIORITY JOURNAL; RICE; SEPARATION TECHNIQUE;

AMYLOPECTIN; CARBOHYDRATE CONFORMATION; CHROMATOGRAPHY, GEL; METHODS; MOLECULAR WEIGHT; ORYZA SATIVA; STARCH;

EID: 70349182389     PISSN: 15257797     EISSN: None     Source Type: Journal    
DOI: 10.1021/bm900761q     Document Type: Article

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