Novel Grade Classification Tool with Lipidomics for Indica Rice Eating Quality Evaluation

Author:

Zhao Luyao1,Duan Xiaoliang1,Liu Hongbin2

Affiliation:

1. Academy of National Food and Strategic Reserves Administration, Beijing 100037, China

2. China Animal Disease Control Center, Beijing 100020, China

Abstract

The eating quality evaluation of rice is raising further concerns among researchers and consumers. This research is aimed to apply lipidomics in determining the distinction between different grades of indica rice and establishing effective models for rice quality evaluation. Herein, a high-throughput ultrahigh-performance liquid chromatography coupled with quadrupole time-of-flight (UPLC-QTOF/MS) method for comprehensive lipidomics profiling of rice was developed. Then, a total of 42 significantly different lipids among 3 sensory levels were identified and quantified for indica rice. The orthogonal partial least-squares discriminant analysis (OPLS-DA) models with the two sets of differential lipids showed clear distinction among three grades of indica rice. A correlation coefficient of 0.917 was obtained between the practical and model-predicted tasting scores of indica rice. Random forest (RF) results further verified the OPLS-DA model, and the accuracy of this method for grade prediction was 90.20%. Thus, this established approach was an efficient method for the eating grade prediction of indica rice.

Funder

Special Fund of Chinese Central Government for Basic Scientific Research Operations in Commonweal Research Institutes

Publisher

MDPI AG

Subject

Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science

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