光学 精密工程, 2015, 23 (2): 349, 网络出版: 2015-03-23   

近红外高光谱成像技术快速鉴别国产咖啡豆品种

Rapid identification of coffee bean variety by near infrared hyperspectral imaging technology
作者单位
浙江大学 生物系统工程与食品科学学院, 浙江 杭州 310058
引用该论文

鲍一丹, 陈纳, 何勇, 刘飞, 张初, 孔汶汶. 近红外高光谱成像技术快速鉴别国产咖啡豆品种[J]. 光学 精密工程, 2015, 23(2): 349.

BAO Yi-dan, CHEN Na, HE Yong, LIU Fei, ZHANG Chu, KONG Wen-wen. Rapid identification of coffee bean variety by near infrared hyperspectral imaging technology[J]. Optics and Precision Engineering, 2015, 23(2): 349.

参考文献

[1] 胡荣锁, 初众, 谷风林, 等. 海南主要地域生咖啡豆挥发性化学成分对比研究[J]. 光谱学与光谱分析, 2013, 33(2): 548-553.

    HU R S, CHU ZH, GU F L, et al.. Comparison of green coffee beans volatiles chemical composition of Hainan main area[J]. Spectroscopy and Spectral Analysis, 2013, 33(2): 548-553. (in Chinese)

[2] 曾凡逵, 刘爱琴, 谭乐和, 等. 3个不同产地咖啡脂肪酸组成比较[J].热带作物学报, 2011, 32(8): 1460-1463.

    ZENG F K, LIU A Q, TAN L H, et al.. Fatty acid composition of coffee oil from three different origins [J]. Chinese Journal of Tropical Crops, 2011, 32(8): 1460-1463. (in Chinese)

[3] SEMMELROCH P, LASKAWY G, BLANK I, et al.. Determination of potent odourants in roasted coffee by stable isotope dilution assays [J]. Flavour and Fragrance Journal, 1995, 10: 1-7.

[4] 詹家芬, 陆舍铭, 曲国福, 等. 老挝咖啡的挥发性和半挥发性成分提取分析[J]. 食品研究与开发, 2008, 29(2): 125-129.

    ZHAN J F, LU SH M, QU G F, et al.. Analysis on volatile and semi-volatie components of Laos' coffee [J]. Food Research and Development, 2008, 29(2): 125-129. (in Chinese)

[5] 刘燕德, 周延睿, 彭彦颖. 基于近红外漫反射光谱检测鸡蛋品质[J]. 光学 精密工程, 2013, 21(1): 40-45.

    LIU Y D, ZHOU Y R, PENG Y Y. Detection of egg quality by near infrared diffuse reflectance spectroscopy[J]. Opt. Precision Eng., 2013, 21(1): 40-45. (in Chinese)

[6] 杜敏, 巩颖, 林兆洲, 等. 样品表面近红外光谱结合多类支持向量机快速鉴别枸杞子产地[J]. 光谱学与光谱分析, 2013, 32(5): 1211-1214.

    DU M, GONG Y, LIN ZH ZH, et al.. Rapid identification of wolfberry fruit of different geographic regions with sample surface near infrared spectra combined with multi-class SVM [J]. Spectroscopy and Spectral Analysis, 2013, 32(5): 1211-1214. (in Chinese)

[7] 王艳艳, 何勇, 邵永妮, 等. 基于可见-近红外光谱的咖啡品牌鉴别研究[J]. 光谱学与光谱分析, 2007, 27(4): 702-706.

    WANG Y Y, HE Y, SH Y N, et al.. Discrimination among different brands of coffee by using vis-near infrared spectra[J]. Spectroscopy and Spectral Analysis, 2007, 27(4): 702-706. (in Chinese)

[8] IVANIRA M, IEDA S S. Chemometric discrimination of genetically modified coffea arabica cultivars using spectroscopic and chromatographic fingerprints [J]. Talanta, 2013, 107: 416-422.

[9] ESTEBAN-DIEZ I, GONZALEZ-SAIZ J M, PIZARRO C. An evaluation of orthogonal signal correction methods for the characterisation of arabica and robusta coffee varieties by NIRS [J]. Analytica Chimica Acta, 2004, 514(1): 57-67.

[10] ESTEBAN-DIEZ I, GONZALEZ-SAIZ J M, SAENZ-GONZALEZ C, et al.. Coffee varietal differentiation based on near infrared spectroscopy[J]. Talanta, 2007, 71(1): 221-229.

[11] DOWNEY G, BRIANDET R, WILSON R H, et al.. Near-and mid-infrared spectroscopies in food authentication: coffee varietal identification[J]. Journal of Agricultural and Food Chemistry, 1997, 45(11): 4357-4361.

[12] SANTOS K M, MOURA M F V, AZEVEDO F G, et al.. Classification of Brazilian coffee using near-infrared spectroscopy and multivariate calibration[J]. Analytical Letters, 2012, 45(7): 774-781.

[13] MYLES A J, ZIMMERMAN T A, BROWN S D. Transfer of multivariate classification models between laboratory and process near-infrared spectrometers for the discrimination of green Arabica and Robusta coffee beans[J]. Applied Spectroscopy, 2006, 60(10): 1198-1203.

[14] KONG W, LIU F, ZHANG C, et al.. Fast detection of peroxidase (POD) activity in tomato leaves which infected with Botrytis cinerea using hyperspectral imaging[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2014, 118: 498-502.

[15] XIONG Z J, SUM D W, ZENG X A, et al.. Recent developments of hyperspectral imaging systems and their applications in detecting quality attributes of red meats: a review [J]. Journal of Food Engineering, 2014, 132: 1-13.

[16] 周扬, 戴曙光, 葛丁飞. 近红外光谱稀疏分量分析检测柴油品质参数[J]. 光学 精密工程, 2014, 22(2): 296-303.

    ZHOU Y, DAI SH G, GE D F. Detection of diesel quality parameters by near infrared spectroscopy with sparse component analysis[J]. Optics and Precision Engineering, 2014, 22(2): 296-303. (in Chinese)

[17] ZHU F L, ZHANG H L, SHAO Y N, et al.. Mapping of fat and moisture distribution in atlantic salmon using near-infrared hyperspectral imaging[J]. Food and Bioprocess Technology, 2014, 7: 1208-1214.

[18] LEE S, CHOI H, CHA K, et al.. Random forest as a potential multivariate method for near-infrared (NIR) spectroscopic analysis of complex mixture samples gasoline and naphtha [J]. Microchemical Journal, 2013, 110: 739-748.

[19] ZHANG L G, ZHANG X, NI L J, et al.. Rapid identification of adulterated cow milk by non-linear pattern recognition methods based on near infrared spectroscopy [J]. Food Chemistry, 2014, 145: 342-348.

[20] ALVES J C L, POPPI R J. Biodiesel content determination in diesel fuel blends using near infrared (NIR) spectroscopy and support vector machines (SVM) [J]. Talanta, 2013, 104: 155-161.

[21] LIU F, HE Y. Discrimination of producing areas of auricularia auricula using visible/near infrared spectroscopy [J]. Food and Bioprocess Technology, 2011, 4(3): 387-394.

[22] 刘燕德, 周延睿, 潘圆媛. 基于最小二乘支持向量机的辣椒可溶性固形物和维生素C含量近红外光谱检测[J]. 光学 精密工程, 2014, 22(2): 281-288.

    LIU Y D, ZHOU Y R, PAN Y Y. Determination of soluble solid contents and vitamin C of fresh peppers based on NIR spectrometry and least square support vector machines [J]. Optics and Precision Engineering, 2014, 22(2): 281-288. (in Chinese)

[23] KONG W W, ZHANG C, LIU F, et al.. Irradiation dose detection of irradiated milk powder using visible and near-infrared spectroscopy and chemometrics [J]. Journal of Dairy Science, 2013, 96(8): 4921-4927.

[24] 褚小立. 化学计量学方法与分子光谱分析技术[M]. 北京: 化学工业出版社, 2011.

    ZHU X L. Molecular Spectroscopy Analytical Technology Combined with Chemometrics and Its Applications [M]. Beijing: Chemical Industry Press, 2011. (in Chinese)

[25] OUYANG A, LIU J. Classification and determination of alcohol in gasoline using NIR spectroscopy and the successive projections algorithm for variable selection [J]. Measurement Science and Technology, 2013, 24(2): 025502-025507.

[26] RIBEIRO J S, FERREIRA M M C, SALVA T J G. Chemometric models for the quantitative descriptive sensory analysis of Arabica coffee beverages using near infrared spectroscopy[J]. Talanta, 2011, 83: 1352-1358.

鲍一丹, 陈纳, 何勇, 刘飞, 张初, 孔汶汶. 近红外高光谱成像技术快速鉴别国产咖啡豆品种[J]. 光学 精密工程, 2015, 23(2): 349. BAO Yi-dan, CHEN Na, HE Yong, LIU Fei, ZHANG Chu, KONG Wen-wen. Rapid identification of coffee bean variety by near infrared hyperspectral imaging technology[J]. Optics and Precision Engineering, 2015, 23(2): 349.

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