Banks W, Greenwood C T. 1972. On hydrogen bonding in amylose. Biopolymers, 11, 315–318.
Bergman C J. 2019. Rice end-use quality analysis. In: Bao J, ed., Rice. 4th ed. International Association of Cereal Chemists International Press, the Netherlands. pp. 273–337.
Bi X, Asimi S, Zhang M, Zhou Q, Yang Z. 2019. Effects of fatty acids on taste quality of cooked rice. Food Science, 40, 8–14. (in Chinese)
Bogadi N P, Banović M, Babić I. 2016. Food defence system in food industry: Perspective of the EU countries. Journal of Consumer Protection and Food Safety, 11, 217–226.
Bryant R J, Anders M, McClung A M. 2009. Effect of cultural management practices on grain quality of two rice cultivars. Cereal Chemistry, 86, 405–409.
Ch R, Chevallier O, McCarron P, McGrath T F, Wu D, Nguyen Doan Duy L, Kapil A P, McBride M, Elliott C T. 2021. Metabolomic fingerprinting of volatile organic compounds for the geographical discrimination of rice samples from China, Vietnam and India. Food Chemistry, 334, 127553.
Champagne E T, Bett K L, Vinyard B T, McClung A M, Barton F E, Moldenhauer K, Linscombe S, McKenzie K. 1999. Correlation between cooked rice texture and rapid visco analyser measurements. Cereal Chemistry, 76, 764–771.
Chen H, Chen D, He L, Wang T, Lu H, Yang F, Deng F, Chen Y, Tao Y, Li M, Li G, Ren W. 2021. Correlation of taste values with chemical compositions and Rapid Visco Analyser profiles of 36 indica rice (Oryza sativa L.) varieties. Food Chemistry, 349, 129176.
Chen W, Gong L, Guo Z, Wang W, Zhang H, Liu X, Yu S, Xiong L, Luo J. 2013. A novel integrated method for large-scale detection, identification, and quantification of widely targeted metabolites: Application in the study of rice metabolomics. Molecular Plant, 6, 1769–1780.
Chen Z, Chen H, Jiang Y, Wang J, Khan A, Li P, Cao C. 2020. Metabolomic analysis reveals metabolites and pathways involved in grain quality traits of high-quality rice cultivars under a dry cultivation system. Food Chemistry, 326, 126845.
Custodio M C, Cuevas R P, Ynion J, Laborte A G, Velasco M L, Demont M. 2019. Rice quality: How is it defined by consumers, industry, food scientists, and geneticists? Trends in Food Science & Technology, 92, 122–137.
Fridez F. 2016. Basmati rice fraud under the magnifying glass of DNA analysis. Chimia, 70, 354–356.
FSA (Food Standard Agency). 2017. Final report: Application of multispectral imaging (MSI) to food and feed sampling and analysis. [2022-12-23]. https://www.food.gov.uk/sites/default/files/media/document/fs301017finrep.pdf
Giraud G. 2013. The world market of fragrant rice, main issues and perspectives. International Food and Agribusiness Management Review, 16, 1–20.
Gonçalves B, Borges O, Costa H S, Bennett R, Santos M, Silva A P. 2010. Metabolite composition of chestnut (Castanea sativa Mill.) upon cooking: Proximate analysis, fibre, organic acids and phenolics. Food Chemistry, 122, 154–160.
Gong R, Huang D, Chen Y, Li H, Wang Z, Zhou D, Zhao L, Pan Y, Chang Y, Xiang Y, Wang C, Zhou S. 2020. Comparative metabolomics analysis reveals the variations of eating quality among three high-quality rice cultivars. Molecular Breeding, 40, 112.
Gravois K A, Webb B D. 1997. Inheritance of long grain rice amylograph viscosity characteristics. Euphytica, 97, 25–29.
He H, Zhang Y, Hong Y, Gu Z. 2015. Effects of hydrocolloids on corn starch retrogradation. Starch-Stärke, 67, 348–354.
Heuberger A L, Lewis M R, Chen M-H, Brick M A, Leach J E, Ryan E P. 2010. Metabolomic and functional genomic analyses reveal varietal differences in bioactive compounds of cooked rice. PLoS ONE, 5, e12915.
Huang X P, Lei L, Lei S X, Zhu W W, Yan J. 2021. Traceability of the geographical origin of Siraitia grosvenorii based on multielement contents coupled with chemometric techniques. Scientific Reports, 11, 21150.
Huo Y, Kamal G M, Wang J, Liu H, Zhang G, Hu Z, Anwar F, Du H. 2017. 1H NMR-based metabolomics for discrimination of rice from different geographical origins of China. Journal of Cereal Science, 76, 243–252.
Jingmen Municipal People’s Government. 2021. Jingshan rice. [2022-12-23]. https://www.jingmen.gov.cn/art/2021/12/1/art_673_238127.html (in Chinese)
Juliano B O, Antonio A A, Esmama B V. 1973. Effects of protein content on the distribution and properties of rice protein. Journal of the Science of Food and Agriculture, 24, 295–306.
Karabagias I K, Karabagias V K, Badeka A V. 2019. The honey volatile code: A collective study and extended version. Foods, 8, 508.
Kukusamude C, Kongsri S. 2018. Elemental and isotopic profiling of Thai jasmine rice (Khao Dawk Mali 105) for discrimination of geographical origins in Thung Kula Rong Hai area, Thailand. Food Control, 91, 357–364.
Lee J I, Kim D W, Jang G J, Song S, Park K J, Lim J H, Kim B M, Lee H J, Chen F, Ryu Y B, Kim H J. 2019. Effects of different storage conditions on the metabolite and microbial profiles of white rice (Oryza sativa L.). Food Science and Biotechnology, 28, 623–631.
Lin F, Rensing C, Pang Z, Zou J, Lin S, Letuma P, Zhang Z, Lin W. 2022. Metabolomic analysis reveals differential metabolites and pathways involved in grain chalkiness improvement under rice ratooning. Field Crops Research, 283, 108521.
Lu Z H, Sasaki T, Li Y Y, Yoshihashi T, Li L T, Kohyama K. 2009. Effect of amylose content and rice type on dynamic viscoelasticity of a composite rice starch gel. Food Hydrocolloids, 23, 1712–1719.
Man J, Yang Y, Zhang C, Zhou X, Dong Y, Zhang F, Liu Q, Wei C. 2012. Structural changes of high-amylose rice starch residues following in vitro and in vivo digestion. Journal of Agricultural and Food Chemistry, 60, 9332–9341.
Melvin M A. 1979. The effect of extractable lipid on the viscosity characteristics of corn and wheat starches. Journal of the Science of Food and Agriculture, 30, 731–738.
Ning H, Qiao J, Liu Z, Lin Z, Li G, Wang Q, Wang S, Ding Y. 2010. Distribution of proteins and amino acids in milled and brown rice as affected by nitrogen fertilization and genotype. Journal of Cereal Science, 52, 90–95.
Rocchetti G, Bocchi S, Senizza B, Giuberti G, Trevisan M, Lucini L. 2022. Metabolomic insights into the phytochemical profile of cooked pigmented rice varieties following in vitro gastrointestinal digestion. Journal of Food Composition and Analysis, 106, 104293.
Schirmer M, Jekle M, Becker T. 2015. Starch gelatinization and its complexity for analysis. Starch-Stärke, 67, 30–41.
Seneviratne H D, Biliaderis C G. 1991. Action of α-amylases on amylose-lipid complex superstructures. Journal of Cereal Science, 13, 129–143.
Shi S, Wang E, Li C, Cai M, Cheng B, Cao C, Jiang Y. 2022. Use of protein content, amylose content, and RVA parameters to evaluate the taste quality of rice. Frontiers in Nutrition, 8, 758547.
Shi S, Wang E, Li C, Zhou H, Cai M, Cao C, Jiang Y. 2021. Comprehensive evaluation of 17 qualities of 84 types of rice based on principal component analysis. Foods, 10, 2883.
Sittipod S, Shi Y C. 2016. Changes of starch during parboiling of rice kernels. Journal of Cereal Science, 69, 238–244.
Uawisetwathana U, Karoonuthaisiri N. 2019. Metabolomics for rice quality and traceability: feasibility and future aspects. Current Opinion in Food Science, 28, 58–66.
Varavinit S, Shobsngob S, Varanyanond W, Chinachoti P, Naivikul O. 2003. Effect of amylose content on gelatinization, retrogradation and pasting properties of flours from different cultivars of Thai rice. Starch-Stärke, 55, 410–415.
Vemireddy L R, Satyavathi V V, Siddiq E A, Nagaraju J. 2015. Review of methods for the detection and quantification of adulteration of rice: Basmati as a case study. Journal of Food Science and Technology, 52, 3187–3202.
Virmani S S. 1996. Hybrid rice. In: Sparks D L, ed., Advances in Agronomy. Academic Press, the Netherlands. pp. 377–462.
De Vos R C H, Moco S, Lommen A, Keurentjes J J B, Bino R J, Hall R D. 2007. Untargeted large-scale plant metabolomics using liquid chromatography coupled to mass spectrometry. Nature Protocols, 2, 778–791.
Wan J, Zhou G, Luo S, Wang R, Liu C, Zhang X, Liu F. 2017. A study of the effect of amino acids on pasting and short-term retrogradation properties of rice starch based on molecular dynamics simulation. Starch-Stärke, 69, 1600238.
Wangcharoen W, Phanchaisri C, Daengpok W, Phuttawong R, Hangsoongnern T, Phanchaisri B. 2016. Consumer acceptance test and some related properties of selected KDML 105 rice mutants. Journal of Food Science and Technology, 53, 3550–3556.
Xia J, Wishart D S. 2010. MetPA: A web-based metabolomics tool for pathway analysis and visualization. Bioinformatics, 26, 2342–2344.
Ye J, Hu X, Luo S, McClements D J, Liang L, Liu C. 2018. Effect of endogenous proteins and lipids on starch digestibility in rice flour. Food Research International, 106, 404–409.
Zhao Q, Xi J, Xu D, Jin Y, Wu F, Tong Q, Yin Y, Xu X. 2022a. A comparative HS-SPME/GC-MS-based metabolomics approach for discriminating selected japonica rice varieties from different regions of China in raw and cooked form. Food Chemistry, 385, 132701.
Zhao Q, Xi J, Xu X, Yin Y, Xu D, Jin Y, Tong Q, Dong L, Wu F. 2022b. Volatile fingerprints and biomarkers of Chinese fragrant and non-fragrant japonica rice before and after cooking obtained by untargeted GC/MS-based metabolomics. Food Bioscience, 47, 101764.
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