我国稻米品质标准及检测技术创新概述

doi:10.3969/j.issn.1006-8082.2022.01.001

摘要/Abstract

摘要：

稻米品质是决定其市场价值和商品价值的重要属性。本文简述了我国稻米品质标准的现状;探讨了稻米品质评价包括的五个方面：加工品质、外观品质、蒸煮品质、食味品质及营养品质;介绍了稻米品质检测技术的创新进展。

Abstract:

Rice quality is an important attribute that determines the market value and commodity value of rice. This paper briefly described the current situation of rice quality standards in China, discussed the evaluation of rice quality, including processing quality, appearance quality, cooking quality, eating quality and nutritional quality, introduced the innovative progress of detection technology for rice quality.

Key words: rice, rice quality, standards, detection technology

中图分类号:

S511.09

卢林, 孙成效, 朱智伟, 于永红. 我国稻米品质标准及检测技术创新概述[J]. 中国稻米, 2022, 28(1): 1-6.

LU Lin, SUN Chengxiao, ZHU Zhiwei, YU Yonghong. Overview of Rice Quality Standard and Innovative Detection Technology in China[J]. China Rice, 2022, 28(1): 1-6.

图/表 1

参考文献 60

[1]	张隽娴, 夏珍珍, 张仙, 等. 我国稻米品质与安全标准概述及思考[J]. 中国稻米, 2021, 27(4):77-83.
[2]	胡贤巧, 孙丽娟, 邵雅芳, 等. 水稻标准体系存在问题及改进措施探析[J]. 农产品质量与安全, 2017(6):23-27.
[3]	李丹, 王建龙, 陈光辉, 等. 稻米品质性状研究进展[J]. 作物研究, 2005(5):290-294.
[4]	BAO J S, SUN M, ZHU L H, et al. Analysis of quantitative trait loci for some starch properties of rice (Oryza sativa L.): Thermal properties, gel texture and swelling volume[J]. Journal of Cereal Science, 2004, 39:379-385.
[5]	CHENG F M, ZHONG L J, WANG F, et al. Differences in cooking and eating properties between chalky and translucent parts in rice grains[J]. Food Chemistry, 2005, 90:39-46.
[6]	XIE L H, CHEN N, DUAN B W, et al. Impact of proteins on pasting and cooking properties of waxy and non-waxy rice[J]. Journal of Cereal Science, 2008, 47:372-379.
[7]	RANI S M R, BHATTACHARYA K R. Rheology of rice flour pastes: Effect of variety, concentration, and temperature and time of cooking[J]. Journal of Texture Studies, 1989, 20:127-137.
[8]	PARK J, OH S K, CHUNG H J, et al. Structural and physicochemical properties of native starches and non-digestible starch residues from Korean rice cultivars with different amylose contents[J]. Food Hydrocolloids, 2020, 102:105544.
[9]	MA M T, LIU Y, CHEN X J, et al. Thermal and pasting properties and digestibility of blends of potato and rice starches differing in amylose content[J]. International Journal of Biological Macromolecules, 2020, 165:321-332.
[10]	刁操铨. 作物栽培学各论(南方本)[M]. 北京: 中国农业出版社, 2000.
[11]	BALINDONG J L, WARD R M, LIU L, et al. Rice grain protein composition influences instrumental measures of rice cooking and eating quality[J]. Journal of Cereal Science, 2018, 79:35-42.
[12]	PEANPARKDEE M, PATRAWART J, IWAMOTO S. Physicochemical stability and in vitro bioaccessibility of phenolic compounds and anthocyanins from Thai rice bran extracts[J]. Food Chemistry, 2020, 329:127157.
[13]	RAO S, SANTHAKUMAR A B, CHINKWO K, et al. Rice phenolic compounds and their response to variability in growing conditions[J]. Cereal Chemistry, 2020, 97:1045-1055.
[14]	傅瑶, 顾朝剑, 郭岱明, 等. 三种不同颜色稻米的营养品质分析[J]. 中国稻米, 2018, 24(4):50-54.
[15]	李贤勇, 王元凯, 王楚桃. 稻米蒸煮品质与营养品质的相关性分析[J]. 西南农业学报, 2001, 14(3):21-24.
[16]	杜雪树, 李进波, 夏明元, 等. 稻米蛋白质对稻米品质的影响研究进展[J]. 湖北农业科学, 2020, 59(suppl1):44-46.
[17]	许砚杰. 稻米品质及淀粉理化特性的影响因素研究[D]. 杭州:浙江大学, 2019.
[18]	石吕, 张新月, 孙惠艳, 等. 不同类型水稻品种稻米蛋白质含量与蒸煮食味品质的关系及后期氮肥的效应[J]. 中国水稻科学, 2019, 33(6):541-552.
[19]	任广跃, 李秀娟, 尹君, 等. 稻米品质检测技术研究进展及展望[J]. 中国粮油学报, 2014, 29(2):115-128.
[20]	LI H, PRAKASH S, NICHOLSON T M, et al. The importance of amylose and amylopectin fine structure for textural properties of cooked rice grains[J]. Food Chemistry, 2016, 196:702-711.
[21]	XU D, HONG Y, GU Z, et al. Effect of high pressure steam on the eating quality of cooked rice[J]. LWT-Food Science and Technology, 2019, 104:100-108.
[22]	YE J, LIU C, LUO S, et al. A simulated gastrointestinal tract study of texturized rice grains: Impact of texturization on starch digestibility[J]. Journal of Cereal Science, 2019, 89:102 800.
[23]	SARANGAPANI C, DEVI Y, THIRUNDAS R, et al. Effect of low-pressure plasma on physicochemical properties of parboiled rice[J]. LWT- Food Science and Technology, 2015, 63(1):452-460.
[24]	ZHU L, BI S, WU G, et al. Comparative analysis of the texture and physicochemical properties of cooked rice based on adjustable rice cooker[J]. LWT- Food Science and Technology, 2020, 130:109 650.
[25]	ONMANKHONG J, JONGYINGCHAROEN J S, SIRISOMBOON P. The influence of processing parameters of parboiled rice on its physiochemical and texture properties[J]. Journal of Texture Studies, 2021, 52:219-227.
[26]	LIU G D, ZHANG C, ZHANG S H. Simulated oral processing of cooked rice using texture analyzer equipped with multiple extrusion cell probe (TA/MEC)[J]. LWT- Food Science and Technology, 2021, 138:110 731.
[27]	BAO J S, WANG Y, SHEN Y. Determination of apparent amylose content, pasting properties and gel texture of rice starch by near-infrared spectroscopy[J]. Journal of the Science of Food and Agriculture, 2007, 87:2 040-2 048.
[28]	OSBORNEBG. Application of near infrared spectroscopy in quality screening of early-generation material in cereal breeding programmes[J]. Journal of Near Infrared Spectroscopy, 2006, 14:93-101.
[29]	BURESTAN N F, SAYYAH A H A, TAGHINEZHAD E. Prediction of some quality properties of rice and its flour by near-infrared spectroscopy (NIRS) analysis[J]. Food Science &Nutrition, 2021, 9:1 099-1 105.
[30]	SIRIPHOLLAKUL P, NAKANO K, KANLAYANARAT S, et al. Eating quality evaluation of Khao Dawk Mali 105 rice using near infrared spectroscopy[J]. LWT-Food Science and Technology, 2017, 79:70-77.
[31]	NATSUGA M, KAWAMURA S. Visible and near-infrared reflectance spectroscopy for determining physicochemical properties of rice[J]. Transactions of the ASABE, 2006, 49(4):1 069-1 076.
[32]	BAO J S, CAI Y Z, CORKE H. Prediction of rice starch quality parameters by near-infrared reflectance spectroscopy[J]. Journal of Food Science, 2001, 66:936-939.
[33]	LI M, ZHANG H, LI G, et al. Effects of growth-period type and nitrogen application level on the RVA profile characteristics for japonica rice genotypes[J]. Acta Agronomica Sinica, 2012, 38:293-300.
[34]	PANG Y, ALI J, WANG X, et al. Relationship of rice grain amylose, gelatinization temperature and pasting properties for breeding better eating and cooking quality of rice varieties[J]. PLoS One, 2016, 11: e0168483.
[35]	TONG C, CHEN Y F, TANG F, et al. Genetic diversity of amylose content and RVA pasting parameters in 20 rice accessions grown in Hainan, China[J]. Food Chemistry, 2014, 161:239-245.
[36]	包劲松, 夏英武. 稻米淀粉RVA谱的基因型×环境互作效应分析[J]. 中国农业科学, 2001, 34(2):123-127.
[37]	FAHAD S, HUSSAIN S, SAUD S, et al. Responses of rapid visco-analyzer profile and other rice grain qualities to exogenously applied plant growth regulators under high day and high night temperatures[J]. PLoS One, 2016, 11: e0159590.
[38]	NAKAMURA S, KATSURA J, MARUYAMA Y, et al. Evaluation of hardness and retrogradation of cooked rice based on its pasting properties using a novel RVA testing[J]. Foods, 2021, 10:987.
[39]	NAKAMURA S, KATSURA J, KATO K, et al. Development of formulae for estimating amylose content and resistant starch content based on the pasting properties measured by RVA of japonica polished rice and starch[J]. Bioscience, Biotechnology, and Biochemistry, 2016, 80:329-340.
[40]	NAKAMURA S, KATSURA J, MARUYAMA Y, et al. Relationship between fatty acid composition and starch properties of 30 japonica rice cultivars[J]. Cereal Chemistry, 2019, 96:228-242.
[41]	HU X Q, LU L, GUO Z L, et al. Volatile compounds, affecting factors and evaluation methods for rice aroma: A review[J]. Trends in Food Science & Technology, 2020, 97:136-146.
[42]	SINGHA , SHI Y, MAGREAULT P, et al. A rapid Gas-Chromatography/Mass-Spectrometry technique for determining odour activity values of volatile compounds in plant proteins: soy, and allergen-free pea and brown rice protein[J]. Molecules, 2021, 26:4 104.
[43]	HOPFER H, JODARI F, NEGRE-ZAKHAROV F, et al. HS-SPME-GC-MS/MS method for the rapid and sensitive quantitation of 2-Acetyl-1-pyrroline in single rice kernels[J]. Journal of Agricultural and Food Chemistry, 2016, 64(20):4 114-4 120.
[44]	MATHURE S V, WAKTE K V, JAWALI N, et al. Quantification of 2-Acetyl-1-pyrroline and other rice aroma volatiles among Indian scented rice cultivars by HS-SPME/GC-FID[J]. Food Analytical Methods, 2011, 4(3):326-333.
[45]	ZENG Z, ZHANG H, CHEN J Y, et al. Direct extraction of volatiles of rice during cooling using solid-phase micro extraction[J]. Cereal Chemistry, 2007, 84(5):423-427
[46]	PICO J, TAPIA J, BERNAL J, et al. Comparison of different extraction methodologies for the analysis of volatile compounds in gluten-free flours and cornstarch by GC/QTOF[J]. Food Chemistry, 2018, 267:303-312.
[47]	张娜, 王国祥, ABACAR J D, 等. 超高效液相色谱法分析稻米酚酸化合物组分及其含量[J]. 中国农业科学, 2015, 48(9):1 718-1 726.
[48]	赵珊, 仲伶俐, 周虹, 等. 超高效液相色谱-串联质谱法鉴定和分析稻米中酚酸类化合物的组成及分布[J]. 中国农业科学, 2020, 53(3):612-631.
[49]	赵珊, 席清清, 李曦, 等. 超高效液相色谱法测定有色稻米中花色苷的含量[J]. 食品与发酵工业, 2018, 44(11):301-306.
[50]	LEETHANAPANICH K, MAUROMOUSTAKOS A, WANG Y J. Impact of soaking and drying conditions on rice chalkiness as revealed by scanning electron microscopy[J]. Cereal Chemistry, 2016, 93(5):478-481.
[51]	MULLER A, CORADI P C, NUNES M T, et al. Effects of cultivars and fertilization levels on the quality of rice milling: A diagnosis using near-infrared spectroscopy, X-ray diffraction, and scanning electron microscopy[J]. Food Research International, 2021, 147:110 524.
[52]	RAHIMZADEH H, SADEGHI M, GHASEMI-VARNAMKHASTI M, et al. On the feasibility of metal oxide gas sensor based electronic nose software modification to characterize rice ageing during storage[J]. Journal of Food Engineering, 2019, 245:1-10.
[53]	XU J Y, LIU K W, ZHANG CHAO. Electronic nose for volatile organic compounds analysis in rice aging[J]. Trends in Food Science & Technology, 2021, 109:83-93.
[54]	张红梅, 王俊, 叶盛, 等. 电子鼻传感器阵列优化与谷物霉变程度的检测[J]. 传感技术学报, 2007, 20(6):1 208-1 210.
[55]	潘天红, 陈山, 赵德安. 电子鼻技术在谷物霉变识别中的应用[J]. 仪表技术与传感器, 2005(3):51-52.
[56]	宋伟, 谢同平, 张美玲, 等. 应用电子鼻判别不同储藏条件下粳稻谷品质的研究[J]. 中国粮油学报, 2012, 27(5):92-95.
[57]	SHI Y, WANG L L, FANG Y, et al. A comprehensive analysis of aroma compounds and microstructure changes in brown rice during roasting process[J]. LWT-Food Science and Technology, 2018, 98:613-621.
[58]	LU L, TIAN S Y, DENG S P, et al. Determination of rice sensory quality with similarity analysis-artificial neural network method in electronic tongue system[J]. RSC advances, 2015, 5:47 900-47 908.
[59]	LU L, HU X Q, TIAN S Y, et al. Visualized attribute analysis approach for characterization and quantification of rice taste flavor using electronic tongue[J]. Analytica Chimica Acta, 2016, 919:11-19.
[60]	LU L, FANG C Y, HU Z Q, et al. Grade classification model tandem BpNN method with multi-metal sensor for rice eating quality evaluation[J]. Sensors & Actuators: B. Chemical, 2019, 281:22-27.