Method Development of Near-Infrared Spectroscopy Approaches for Nondestructive and Rapid Estimation of Total Protein in Brown Rice Flour.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2019
Historique:
entrez: 7 11 2018
pubmed: 7 11 2018
medline: 5 6 2019
Statut: ppublish

Résumé

Rice varietal development and improvement programs are constantly seeking means to shorten the breeding cycle in order to deliver new, consumer-acceptable rice varieties to farmers and to consumers. Advances in molecular biology technologies have enabled breeders to use high-throughput genotyping to screen breeding lines. However, current phenotyping technologies, particularly for rice cooking and eating properties, have yet to match the efficiency of genotyping methodologies. A high-throughput and cost-effective phenotyping suite is essential because without phenotype, the value of genotypic information cannot be maximized. In this book chapter, we explore the application of near-infrared spectroscopy (NIRS), a high-throughput and nondestructive approach in characterizing rice grains, primarily describing method development and validation, instrument calibration, upgrading, and maintenance. We then focus on estimating protein content (PC) in brown rice as a case study because (1) PC is an attribute that contributes to the cooking behavior and the eating properties of cooked rice; and (2) proteins contain chemical bonds that can easily be detected by NIRS.

Identifiants

pubmed: 30397803
doi: 10.1007/978-1-4939-8914-0_7
doi:

Substances chimiques

Plant Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

109-135

Auteurs

Rosario Jimenez (R)

International Rice Research Institute, Los Baños, Laguna, Philippines.

Lilia Molina (L)

International Rice Research Institute, Los Baños, Laguna, Philippines.

Iman Zarei (I)

International Rice Research Institute, Los Baños, Laguna, Philippines.

Jennine Rose Lapis (JR)

International Rice Research Institute, Los Baños, Laguna, Philippines.

Ruben Chavez (R)

International Rice Research Institute, Los Baños, Laguna, Philippines.

Rosa Paula O Cuevas (RPO)

International Rice Research Institute, Los Baños, Laguna, Philippines.

Nese Sreenivasulu (N)

International Rice Research Institute, Los Baños, Laguna, Philippines. n.sreenivasulu@irri.org.

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Classifications MeSH