Raman Molecular Fingerprints of Rice Nutritional Quality and the Concept of Raman Barcode

Frontiers in Nutrition

Haruna Chikaguchi¹  Wenliang Zhu¹  Giuseppe Pezzotti²  Elia Marin²  Francesco Boschetto²  Tetsuya Nakazaki⁵  Takehiro Masumura⁶  Yo-Ichiro Sato⁷ 

[1] Ceramic Physics Laboratory, Kyoto Institute of Technology, Kyoto, Japan;Department of Dental Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan;Department of Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan;Department of Orthopedic Surgery, Tokyo Medical University, Tokyo, Japan;Experimental Farm, Graduate School of Agriculture, Kyoto University, Kizugawa, Japan;Laboratory of Genetic Engineering, Kyoto Prefectural University, Kyoto, Japan;Research Center for Japanese Food Culture, Kyoto Prefectural University, Kyoto, Japan;The Center for Advanced Medical Engineering and Informatics, Osaka University, Osaka, Japan;

关键词: Raman;    barcode;    rice;    nutrients;    quality;    fingerprint;   

DOI  :  10.3389/fnut.2021.663569

来源: DOAJ

【 摘 要 】

The nutritional quality of rice is contingent on a wide spectrum of biochemical characteristics, which essentially depend on rice genome, but are also greatly affected by growing/environmental conditions and aging during storage. The genetic basis and related identification of genes have widely been studied and rationally linked to accumulation of micronutrients in grains. However, genetic classifications cannot catch quality fluctuations arising from interannual, environmental, and storage conditions. Here, we propose a quantitative spectroscopic approach to analyze rice nutritional quality based on Raman spectroscopy, and disclose analytical algorithms for the determination of: (i) amylopectin and amylose concentrations, (ii) aromatic amino acids, (iii) protein content and structure, and (iv) chemical residues. The proposed Raman algorithms directly link to the molecular composition of grains and allow fast/non-destructive determination of key nutritional parameters with minimal sample preparation. Building upon spectroscopic information at the molecular level, we newly propose to represent the nutritional quality of labeled rice products with a barcode specially tailored on the Raman spectrum. The Raman barcode, which can be stored in databases promptly consultable with barcode scanners, could be linked to diet applications (apps) to enable a rapid, factual, and unequivocal product identification based on direct molecular screening.

【 授权许可】

Unknown