Rice. Determination of amylose content. Part 1: Spectrophotometric method with a defatting procedure by methanol and with calibration solutions of potato amylose and waxy rice amylopectin (ISO 6647-1:2020)
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This document specifies a reference method for the determination of the amylose content of milled rice, non-parboiled. The method is applicable to rice with an amylose mass fraction higher than 5 %. This document can also be used for husked rice, maize, millet and other cereals if the extension of this scope has been validated by the user. NOTE Amylose values determined with this document can be compared with PDO and PGI legislation.
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Sisällysluettelo
Foreword
1 Scope
2 Normative references
3 Terms and definitions
4 Principle
5 Reagents
6 Apparatus
7 Sampling
8 Procedure
8.1 Preparation of test sample
8.2 Test portion and preparation of the test solution
8.3 Preparation of the blank solution
8.4 Preparation of the calibration graph
8.5 Determination
9 Expression of results
10 Precision
10.1 Interlaboratory test
10.2 Repeatability
10.3 Reproducibility
11 Test report
Annex A Determination of the quality of the potato amylose stock suspension (informative)
Annex B Results of an interlaboratory test (informative)
Annex C Example of a flow injection analyser (FIA) for the determination of amylose (informative)
ISO 15914:2004 Animal feeding stuffs -- Enzymatic determination of total starch content
ISO 712:2009 Cereals and cereal products -- Determination of moisture content -- Reference method
ISO 8466-1:1990 Water quality -- Calibration and evaluation of analytical methods and estimation of performance characteristics -- Part 1: Statistical evaluation of the linear calibration function
ISO 15914:2004 Animal feeding stuffs -- Enzymatic determination of total starch content
ISO 712:2009 Cereals and cereal products -- Determination of moisture content -- Reference method
ISO 8466-1:1990 Water quality -- Calibration and evaluation of analytical methods and estimation of performance characteristics -- Part 1: Statistical evaluation of the linear calibration function