The aim of this research was to establish the fast detection method for distinguishing the rice samples from different geographical origins and different breeds in China by using Raman micro-spectroscopy. A total of 123 rice samples from Heilongjiang, Jiangsu and Hunan province were analyzed by Raman spectra, and the data were statistic analyzed by chemometrics. The data was subjected to principal component analysis (PCA) and partial least squares discriminant analysis (PLSDA) to distinguish differences among samples from different geographical origins and different species. PCA could classify the rice samples preliminarily and classification model developed by PLSDA was used to classify and predict different rice samples. The rice samples (2/3) were as a training set of modeling, and the rest of samples were as a prediction set of modeling. The correct classification rates in the training set according to the varieties of rice samples were 100%, and those prediction set were 100%, 100% and 94.12%, respectively. The results in this research indicated it is a quickly efficacious method to identify rice from different geographical origins and species by Raman spectroscopy with chemometrics.

Publication Date


First Page


Last Page





[1] 夏立娅, 申世刚, 刘峥颢, 等. 基于近红外光谱和模式识别技术鉴别大米产地的研究[J]. 光谱学与光谱分析, 2013, 33(1): 102-105.
[2] Alan G Ryder, Gerard M O'Connor, Thomas J Glynn. Quantitative analysis of cocaine in solid mixtures using Raman Spectroscopy and chemometric methods[J]. Journal of Raman Spectroscopy, 2000, 31(3): 221-227.
[3] De Beer T R M, Baeyens W R G, Vermeire A, et al. Raman spectroscopic method for the determination of medroxyprogesterone acetate in a pharmaceutical suspension: validation of quantifying abilities, uncertainty assessment and comparison with the high performance liquid chromatography reference method[J]. Analytica Chimica Acta, 2007, 589(2): 192-199.
[4] Sylwester Mazurek, Roman Szostak. Quantification of atorvastatin calcium in tablets by FT-Raman spectroscopy[J]. Journal of Pharmaceutical and Biomedical Analysis, 2009, 49(1): 168-172.
[5] Sergio Armenta, Salvador Garrigues, Miguel De La Guardia, et al. Sweeteners determination in table top formulations using FT-Raman spectrometry and chemometric analysis[J]. Analytica Chimica Acta, 2004, 521(2): 149-155.
[6] Niculina Peica. Identification and characterization of the E951 artificial food sweetener by vibrational spectroscopy and theoretical modeling[J]. Journal of Raman Spectroscopy, 2009, 40(12): 2 144-2 154.
[7] 刘燕德, 施宇, 蔡丽君, 等. 拉曼光谱在重金属分析中的研究进展[J]. 食品与机械, 2012, 28(4): 1-4.
[8] 黄卫宁, 张君慧, Hoseney R C. FT-Raman光谱与谷物化学研究的最新进展[J]. 食品科学, 2004, 25(11): 411-414.
[9] Feng Xin-wei, Zhang Qing-hua, Cong Pei-sheng, et al. Preliminary study on classification of rice and detection of paraffin in the adulterated samples by Raman spectroscopy combined with multivariate analysis[J]. Talanta, 2013(115): 548-555.
[10] 欧阳思怡, 叶冰, 刘燕德, 等. 表面增强拉曼光谱法在农药残留检测中的研究进展[J]. 食品与机械, 2013, 29(1): 243-246.
[11] Hwang J, Kang S, Lee K. Enhanced Raman spectroscopic discrimination of the geographical origins of rice samples via transmission spectral collection through packed grains[J]. Talanta, 2012(101): 488-494.
[12] 宋瑜, 孙晓荣, 刘翠玲, 等. 拉曼光谱和近红外光谱在小麦粉品质定量分析中的应用[J]. 食品科学技术学报, 2014, 32(2): 24-27.
[13] Lidia E A, David D E, Susan D, et al. Feasibility of near infrared spectroscopy for analyzing corn kernel damage and viability of soybean and corn kernels[J]. Journal of Cereal Science, 2012, 55(2): 160-165.
[14] 黄亚伟, 张令, 王若兰. 新陈玉米的拉曼光谱快速判别研究[J]. 现代食品科技, 2014, 30(12): 149-152.
[15] 陈健, 肖凯军, 林福兰, 等. 拉曼光谱在食品分析中的应用[J]. 食品科学, 2007, 28(12): 554-558.
[16] Hoonsoo L, Cho B K, Kim M S, et al. Prediction of crude protein and oil content of soybeans using Raman spectroscopy[J]. Sensors and Actuators B: Chemical, 2013, 185(8): 694-700.
[17] 成明华, 关东胜, 张慧敏, 等. 10种稻米的品质分析[J]. 粮油食品科技, 2001, 9(6): 13-16.

Included in

Food Science Commons



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.