中国激光, 2008, 35 (8): 1123, 网络出版: 2008-08-16   

水果内部品质近红外光谱无损检测研究进展 下载: 872次

Review of Nondestructive Measurement of Fruit Quality by Means of Near Infrared Spectroscopy
作者单位
中国农业大学食品科学与营养工程学院, 北京 100083
引用该论文

韩东海, 王加华. 水果内部品质近红外光谱无损检测研究进展[J]. 中国激光, 2008, 35(8): 1123.

Han Donghai, Wang Jiahua. Review of Nondestructive Measurement of Fruit Quality by Means of Near Infrared Spectroscopy[J]. Chinese Journal of Lasers, 2008, 35(8): 1123.

参考文献

[1] 毕卫红,付兴虎,王魁荣 等. 水果品质近红外检测技术的研究现状与发展[J]. 激光与光电子学进展, 2006, 43(4):3~7

    Bi Weihong, Fu Xinghu, Wang Kuirong et al.. Progress of NIR detection technology of fruit quality [J]. Laser & Optoelectronics Progress, 2006, 43(4):3~7

[2] 付兴虎,付广伟,毕卫红. 近红外光谱技术在水果品质无损检测中应用的研究与现状[J]. 红外, 2006, 27(2):33~37

    Fu Xinghu, Fu Guangwei, Bi Weihong. Research of application of NIRS technology in nondestructive detection of quality of fruit [J]. Infrared, 2006, 27(2):33~37

[3] . 近红外光谱技术在水果内部品质无损检测中的应用[J]. 农机化研究, 2004, 3(2): 201-203.

    . Application of near infrared spectra technique for non-destructive measurement of fruit internal qualities[J]. Journal of Agricultural Mechanization Research, 2004, 3(2): 201-203.

[4] . 水果内部品质光特性无损检测研究及应用[J]. 浙江大学学报(农业与生命科学版), 2003, 29(2): 125-129.

    . Study and application of optical properties for nondestructive interior quality inspection of fruit[J]. Journal of Zhejiang University (Agric. & Life Sci.), 2003, 29(2): 125-129.

[5] . 无损检测技术在农产品品质检验中的应用[J]. 江西农业大学学报(自然科学版), 2002, 24(3): 411-413.

    . Application of nondestructive extermination technologies to quality testing of agriculture products[J]. Acta Agriculturae Universitatis Jiangxiensis, 2002, 24(3): 411-413.

[6] . 苹果贮藏中水心消失速率的研究[J]. 农业工程技术, 2007, 20: 9-12.

    . . Detection of watercore apple during storage based on optical technology[J]. Agricultural Engineering Technology (Agricultural Product Processing), 2007, 20: 9-12.

[7] 王加华,孙旭东,潘璐 等. 基于可见-近红外能量光的苹果褐腐病和水心鉴别[J]. 光谱学与光谱分析, 2008(待发表)

    Wang Jiahua, Sun Xudong, Pan Lu et al.. Discrimination of brownheart and watercore of apples based on energy spectrum of visible/near infrared transmittance [J]. Spectroscopy and Spectral Analysis, 2008 (to be published)

[8] . 苹果水心病在贮藏期变化的无损检测[J]. 农业工程学报, 2004, 20(1): 211-214.

    . . Non-destructive detecting watercore apple during storage[J]. Transactions of the CSAE, 2004, 20(1): 211-214.

[9] . Nicola, Katrien Beullens, Els Bobelyn et al.. Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review[J]. Postharvest Biology and Technology, 2007, 46: 99-118.

[10] 邹小波,赵杰文. 用遗传算法快速提取近红外光谱特征区域和特征波长[J]. 光学学报, 2007, 27(7):1316~1321

    Zou Xiaobo, Zhao Jiewen. Methods of characteristic wavelength region and wavelength selection based on genetic algorithm [J]. Acta Optica Sinica, 2007, 27(7):1316~1321

[11] Yan Xiaohui, Li Shujun, Lu Chao et al.. Non-destructive measurement of soluble solids of apple using near-infrared spectroscopy [C]. 2004 CIGR International Conference, Beijing, Collection of Extent Abstracts,Ⅱ-156

[12] . 近赤外分光法による果実糖度の測定[J]. 食糧——その科学と技術, 2005, 43: 69-86.

[13] . 温室メロン糖度の非破壊測定[J]. 農流技研会報, 2002, 31(6): 89.

[14] . EPO-PLS external parameter orthogonalisation of PLS application to temperature-independent measurement of sugar content of intact fruits[J]. Chemometrics and Intelligent Laboratory Systems, 2003, 66: 191-204.

[15] . Nicola. Temperature compensation for near infrared reflectance measurement of apple fruit soluble solids contents[J]. Postharvest Biology and Technology, 2003, 30: 233-248.

[16] . Andrew McGlone, Robert B. Jordan, Paul J. Martinsen. Vis/NIR estimation at harvest of pre- and post-storage quality indices for ‘Royal Gala’ apple[J]. Postharvest Biology and Technology, 2002, 25: 135-144.

[17] . Nicola. Effect of natural variability among apples on the accuracy of VIS-NIR calibration models for optimal harvest date predictions[J]. Postharvest Biology and Technology, 2005, 35: 1-13.

[18] . Liu, Y. Ying. Use of FT-NIR spectrometry in non-invasive measurements of internal quality of ‘Fuji’ apples[J]. Postharvest Biology and Technology, 2005, 37: 65-71.

[19] . Selection of the efficient wavelength regions in FT-NIR spectroscopy for determination of SSC of ‘Fuji’ apple based on BiPLS and FiPLS models[J]. Vibrational Spectroscopy, 2007, 44: 220-227.

[20] . 用混合线性分析法建立苹果糖度近红外光谱预测模型[J]. 食品与机械, 2006, 22(6): 83-85.

    . Building of near infrared prediction model of apple sugar content using hybrid linear analysis[J]. Food & Machinery, 2006, 22(6): 83-85.

[21] . 苹果中糖酸度的CCD近红外光谱分析[J]. 食品科学, 2007, 28(8): 376-380.

    . . CCD-NIR analysis of acidity and sugar content in apples[J]. Food Science, 2007, 28(8): 376-380.

[22] 王加华,韩东海. 基于遗传算法的苹果糖度近红外光谱分析[J]. 光谱学与光谱分析, 2008(待发表)

    Wang Jiahua, Han Donghai. Analysis of near infrared spectroscopy of apple SSC by genetic algorithm optimization [J]. Spectroscopy and Spectral Analysis, 2008 (to be published)

[23] . 苹果糖度近红外光谱小波去噪和iPLS建模[J]. 农业机械学报, 2006, 37(6): 79-82.

    . . Near infrared determination of sugar content in apples based on multi-resolution decomposition and interval partial least square (iPLS) method[J]. Transactions of the Chinese Society of Agricultural Machinery, 2006, 37(6): 79-82.

[24] 赵杰文,张海东,刘木华. 简化苹果糖度预测模型的近红外光谱预处理方法[J]. 光学学报, 2006, 26(1):136~140

    Zhao Jiewen, Zhang Haidong, Liu Muhua. Preprocessing methods of near-infrared spectra for simplifying prediction model of sugar content of apples [J]. Acta Optica Sinica, 2006, 26(1):136~140

[25] . 独立分量分析预处理法提高苹果糖度模型预测精度研究[J]. 分析化学, 2006, 34(9): 1291-1294.

    . Improving of prediction model for apple sugar content using independent component analysis[J]. Chinese Journal of Analytical Chemistry, 2006, 34(9): 1291-1294.

[26] . M. Nicola, K. I.Theron, J. Lammertyn. Kernel PLS regression on wavelet transformed NIR spectra for prediction of sugar content of apple[J]. Chemometrics and Intelligent Laboratory Systems, 2006, 85: 243-252.

[27] . . Non-destructive determination of soluble solids in apple fruit by near infrared spectroscopy (NIRS)[J]. Postharvest Biology and Technology, 1998, 14: 21-27.

[28] . . Non-destructive tests on the prediction of apple fruit flesh firmness and soluble solids content on tree and in shelf life[J]. Journal of Food Engineering, 2006, 77: 254-260.

[29] . Park, J. A. Abbott, K. J. Lee et al.. Near-infrared diffuse reflectance for quantitative and qualitative measurement of soluble solids and firmness of delicious and gala apples[J]. Transactions of the ASAE, 2003, 46(6): 1721-1731.

[30] . M. Nicola, B E. Verlinden, M. Desmet et al.. Time-resolved and continuous wave NIR reflectance spectroscopy to predict firmness and soluble solids content of conference pears[J]. Postharvest Biology and Technology, 2008, 47: 68-74.

[31] . Nondestructive measurement of internal quality in pear using genetic algorithms and FT-NIR spectroscopy[J]. Journal of Food Engineering, 2008, 84: 206-213.

[32] . 近红外透射光谱测定水晶梨糖度的初步研究[J]. 食品工业科技, 2007, 28(3): 214-216.

    . . Determination of sugar content in crystal pear by infrared transmittance[J]. Science and Technology of Food Industry, 2007, 28(3): 214-216.

[33] . Non-destructive measurement of acidity, soluble solids and firmness of satsuma mandarin using Vis/NIR-spectroscopy techniques[J]. Journal of Food Engineering, 2006, 77: 313-319.

[34] . A. Cayuela. Vis/NIR soluble solids prediction in intact oranges (Citrus sinensis L.) cv. Valencia Late by reflectance[J]. Postharvest Biology and Technology, 2008, 47: 75-80.

[35] 陆辉山,傅霞萍,谢丽娟 等. 可见/近红外光估测完整柑橘水果可溶性固形物含量的研究[J]. 光谱学与光谱分析, 2007, 27(9):1727~1730

    Lu Huishan, Fu Xiaping, Xie Lijuan et al.. Estimation of soluble solids content of intact citrus fruit by Vis/ NIR spectroscopy [J]. Spectroscopy and Spectral Analysis, 2007, 27(9):1727~1730

[36] . P. Subedi, K. B. Walsh, G. Owens. Prediction of mango eating quality at harvest using short-wave near infrared spectrometry[J]. Postharvest Biology and Technology, 2007, 43: 326-334.

[37] . Saranwong, J. Sornsrivichai, S. Kawano. Improvement of PLS calibration for Brix value and dry matter of mango using information from MLR calibration[J]. J. Near Infrared Spectrosc., 2001, 9: 287-295.

[38] . N. Schaare, D. G. Fraser. Comparison of reflectance, interactance and transmission modes of visible-near infrared spectroscopy for measuring internal properties of kiwifruit (Actinidia chinensis)[J]. Postharvest Biology and Technology, 2000, 20: 175-184.

[39] . Andrew McGlone, Sumio Kawano. Firmness, dry-matter and soluble-solids assessment of postharvest kiwifruit by NIR spectroscopy[J]. Postharvest Biology and Technology, 1998, 13: 131-141.

[40] . 水蜜桃糖度和有效酸度的近红外光谱测定法[J]. 营养学报, 2004, 26(5): 400-402.

    . Determination of sugar content and valid acidity in honey peach by infrared reflectance[J]. Acta Natrimenta Sinaca, 2004, 26(5): 400-402.

[41] 马广,傅霞萍,周莹 等. 大白桃糖度的近红外漫反射光谱无损检测试验研究[J]. 光谱学与光谱分析, 2007, 27(5):907~910

    Ma Guang, Fu Xiaping, Zhou Ying et al.. Nondestructive sugar content determination of peaches by using near infrared spectroscopy technique [J]. Spectroscopy and Spectral Analysis, 2007, 27(5):907~910

[42] . Lammertyn, B. Nicola, K. Ooms et al.. Non-destructive measurement of acidity, soluble solids, and firmness of Jonagold apples using NIR-spectroscopy[J]. Transactions of the ASAE, 1998, 41(4): 1089-1094.

[43] 刘燕德,应义斌. 傅里叶近红外光谱的雪青梨酸度偏最小二乘法定量分析[J]. 光谱学与光谱分析, 2006, 26(8):1454~1456

    Liu Yande, Ying Yibi. The pear acidity quantified analysis using PLS methods and Fourier transform near-infrared spectroscopy [J]. Spectroscopy and Spectral Analysis, 2006, 26(8):1454~1456

[44] . Nondestructive quantification of the soluble-solids content and the available acidity of apples by Fourier-transform near-infrared spectroscopy[J]. Appl. Opt., 2005, 44(25): 5224-5229.

[45] 傅霞萍,应义斌,陆辉山 等. 应用多种近红外建模方法分析梨的坚实度[J]. 光谱学与光谱分析, 2007, 27(5):911~915

    Fu Xiaping, Ying Yibin, Lu Huishan et al.. Application of some different modeling algorithms to pear MT-firmness detection using NIR spectra [J]. Spectroscopy and Spectral Analysis, 2007, 27(5):911~915

[46] 田海清,应义斌,陆辉山 等. 可见/近红外光谱漫透射技术检测西瓜坚实度的研究[J]. 光谱学与光谱分析, 2007, 27(6):1113~1117

    Tian Haiqing, Ying Yibin, Lu Huishan et al.. Study on predicting firmness of watermelon by Vis/ NIR diffuse transmittance technique [J]. Spectroscopy and Spectral Analysis, 2007, 27(6):1113~1117

[47] . 小波变换在脐橙维生素C含量近红外光谱预测中的应用[J]. 中国农业科学, 2007, 40(8): 1760-1766.

    . . Application of wavelet transformation in umbilical orange vitamin C content prediction with near-infrared spectroscopy[J]. Scientia Agricultura Sinica, 2007, 40(8): 1760-1766.

[48] . 基于小波变换的柑橘维生素C含量近红外光谱无损检测方法[J]. 农业工程学报, 2007, 23(6): 170-174.

    . .Approach to nondestructive measurement of vitamin C content of o range with near-infrared spectroscopy treated by wavelet transform[J]. Transactions of the CSAE, 2007, 23(6): 170-174.

[49] . 苹果水心病的光学无损检测[J]. 农业机械学报, 2004, 35(5): 143-146.

    . . Research of nondestructive detect ion of apple watercore by optical means[J]. Transactions of the Chinese Society of Agricultural Machinery, 2004, 35(5): 143-146.

[50] . 苹果内部褐变的光学无损伤检测研究[J]. 农业机械学报, 2006, 37(6): 86-88.

    . .Study on optical-nondestructive detect ion of breakdown apples[J]. Transactions of the Chinese Society of Agricultural Machinery, 2006, 37(6): 86-88.

[51] . J. Clark, V. A. McGlone, R. B. Jordan. Detection of Brownheart in ‘braeburn’ apple by transmission NIR spectroscopy[J]. Postharvest Biology and Technology, 2003, 28: 87-96.

[52] . Andrew McGlone, Paul J. Martinsen, Christopher J. Clark et al.. On-line detection of brownheart in braeburn apples using near infrared transmission measurements[J]. Postharvest Biology and Technology, 2005, 37: 142-151.

[53] . . Nondestructive detection of brown core in the Chinese pear ‘Yali’ by transmission visible-NIR spectroscopy[J]. Food Control, 2006, 17: 604-608.

[54] . . Comparison of diffuse reflectance and transmission mode of visible-near infrared spectroscopy for detecting brown heart of pear[J]. Journal of Food Engineering, 2007, 83: 317-323.

[55] . . Effects of bruise type on discrimination of bruised and non-bruised ‘Golden Delicious’ apples by Vis/NIR spectroscopy[J]. Postharvest Biology and Technology, 2003, 30: 249-258.

[56] . . Bruise detection on ‘Golden Delicious’ apples by Vis/NIR spectroscopy[J]. Computers and Electronics in Agriculture, 2006, 52: 11-20.

[57] . . Bruise detection on Jonagold apples by visible and near-infrared spectroscopy[J]. Food Control, 2005, 16: 357-361.

[58] . Fresh bruise detection by predicting softening index of apple tissue using Vis/NIR spectroscopy[J]. Postharvest Biology and Technology, 2007, 45: 176-183.

[59] . Non-destructive discrimination of Chinese bayberry varieties using Vis/NIR spectroscopy[J]. Journal of Food Engineering, 2007, 81: 357-363.

[60] . . Discrimination of transgenic tomatoes based on visible/near-infrared spectra[J]. Analytica Chimica Acta, 2007, 584: 379-384.

[61] . 支持向量机在苹果分类的近红外光谱模型中的应用[J]. 农业工程学报, 2007, 23(4): 149-152.

    . Application of support vector machine to apple classification with near- infrared spectroscopy[J]. Transactions of the CSAE, 2007, 23(4): 149-152.

[62] 李晓丽,胡兴越,何勇. 基于主成分和多类判别分析的可见/红外光谱水蜜桃品种鉴别新方法[J]. 红外与毫米波学报, 2006, 25(6):417~420

    Li Xiaoli, Hu Xingyue, He Yong. New approach of discrimination of varieties of juicy peach by near infrared spectra based on PCA and MDAMODEL [J]. J. Infrared Millim. Waves, 2006, 25(6):417~420

韩东海, 王加华. 水果内部品质近红外光谱无损检测研究进展[J]. 中国激光, 2008, 35(8): 1123. Han Donghai, Wang Jiahua. Review of Nondestructive Measurement of Fruit Quality by Means of Near Infrared Spectroscopy[J]. Chinese Journal of Lasers, 2008, 35(8): 1123.

本文已被 14 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!