[1]连国云,何伟逸,陈义昆,等.红外光谱法测定东亚飞蝗蛋白质含量的研究[J].深圳大学学报理工版,2013,30(No.2(111-220)):200-204.[doi:10.3724/SP.J.1249.2013.02200]
 Lian Guoyun,He Weiyi,Chen Yikun,et al.Determination of protein content in Locusta migratoria manilensis based on infrared spectroscopy[J].Journal of Shenzhen University Science and Engineering,2013,30(No.2(111-220)):200-204.[doi:10.3724/SP.J.1249.2013.02200]
点击复制

红外光谱法测定东亚飞蝗蛋白质含量的研究()
分享到:

《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第30卷
期数:
2013年No.2(111-220)
页码:
200-204
栏目:
化学与化工
出版日期:
2013-03-18

文章信息/Info

Title:
Determination of protein content in Locusta migratoria manilensis based on infrared spectroscopy
作者:
连国云12何伟逸2陈义昆2刘志刚2
1)深圳大学光电子器件与系统教育部重点实验室,广东省光电子器件与系统教育部重点实验室, 深圳 518060
2)深圳大学过敏反应与免疫学研究所,深圳 518060
Author(s):
Lian Guoyun12 He Weiyi2 Chen Yikun2 and Liu Zhigang2
1) Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education, Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province, Shenzhen University, Shenzhen 518060, P.R.China
2) Institute of Allergy and Immunology of Shenzhen University, Shenzhen 518060, P.R.China
关键词:
光谱学近红外光谱技术中红外光谱技术东亚飞蝗蛋白质含量测定偏最小二乘回归算法
Keywords:
spectroscopy near-infrared spectroscopy mid-infrared spectroscopy Locusta migratoria manilensis determination of protein content partial least squares (PLS) regression algorithm
分类号:
O 433.4
DOI:
10.3724/SP.J.1249.2013.02200
文献标志码:
A
摘要:
采用近红外光谱和中红外光谱技术测定不同个体东亚飞蝗的蛋白质含量.以化学分析值作参比,采用偏最小二乘回归算法,在近红外、中红外及全波段光谱范围内分别建立东亚飞蝗光谱信息与蛋白质含量定量模型.预测结果表明,利用红外光谱技术可实现对可食昆虫类蛋白质含量的快速检测,检测过程比传统化学检测法简捷高效,且中红外光谱区域的建模效果优于近红外光谱区域.该研究为快速检测可食昆虫类蛋白质含量提供了借鉴.
Abstract:
The protein content in Locusta migratoria manilensis individuals was determined by using near-and mid-infrared spectrum technology. Based on the chemical values of the protein content of these locusts, the quantitative relation models between the real protein content and the spectral information were respectively established in the near-infrared, mid-infrared and full-band spectral range by using the partial least squares (PLS) regression algorithm. The predicted results show that infrared spectrum technology can be used to rapidly determine the protein content of edible insects. In addition, the mid-infrared model exhibit better effects than the near-infrared one. Furthermore, the determination process is simpler and more effective than traditional chemical methods. This study provides a new method for rapid determination of protein content of edible insects.

参考文献/References:

[1] Silvestre D, Fraga M, Gormaz M, et al. Comparison of mid-infrared transmission spectroscopy with biochemical methods for the determination of macronutrients in human milk[J]. Maternal & Child Nutrition, 2012, doi: 10.1111/j.1740-8709.2012.00431.x.
[2] Luo Yajun, Zhang Qi, Zhang Xinshen, et al. Preparation and spectrum investigation of daidzein-phospholipid complex[J]. Journal of Shenzhen University Science and Engineering, 2010, 27(2): 224-229.(in Chinese)
罗娅君, 张琦, 张新申, 等. 大豆黄素磷脂复合物的制备及光谱学分析[J]. 深圳大学学报理工版, 2010, 27(2):224-229.
[3] Li Xiaoyun, Wang Jiahua, Huang Yawei, et al. Determination of fat, protein and DM in raw milk by portable short-wave near infrared spectrometer[J]. Spectroscopy and Spectral Analysis, 2011, 31(3):665-668.(in Chinese)
李晓云, 王加华, 黄亚伟, 等. 便携式近红外仪检测牛奶中脂肪、蛋白质及干物质含量[J]. 光谱学与光谱分析, 2011, 31(3): 665-668.
[4] Bogomolov A, Dietrich S, Boldrini B, et al. Quantitative determination of fat and total protein in milk based on visible light scatter[J]. Food Chemistry, 2012, 134(1):412-418.
[5] Liu Kuiwu, Cheng Fang, Lin Hongjian, et al. Visible/NIR analysis of fat, protein and water in chilled pork[J]. Spectroscopy and Spectral Analysis, 2009, 29(1):102-105.(in Chinese)
刘魁武, 成芳, 林宏建, 等. 可见/近红外光谱检测冷鲜猪肉中的脂肪、蛋白质和水分含量[J]. 光谱学与光谱分析, 2009, 29(1):102-105.
[6] Fox G P, Kelly A, Sweeney N, et al. Development of a single kernel NIR barley protein calibration and assessment of variation in protein on grain quality [J]. Journal of the Institute of Brewing, 2011, 117(4):582-586.
[7] Szigedi T, Lenart J, Dernovics M, et al. Protein content determination in Brassica oleracea species using FT-NIR technique and PLS regression[J]. Food Science & Technology, 2012, 47(2):436-440.
[8] Wu Di, Cao Fang, Feng Shuijuan, et al. Application of infrared spectroscopy technique to protein content fast measurement in milk powder based on support vector machines[J]. Spectroscopy and Spectral Analysis, 2008, 28(5):1071-1075.(in Chinese)
吴迪, 曹芳, 冯水娟, 等. 基于支持向量机算法的红外光谱技术在奶粉蛋白质含量快速检测中的应用[J]. 光谱学与光谱分析, 2008, 28(5):1071-1075.
[9] Chang Min, Chu Pengjiao, Xu Kexin. Study on noninvasive detection using NIR diffuse reflectance spectrum for monitoring protein content in milk powder[J]. Spectroscopy and Spectral Analysis, 2007, 27(1):43-45.(in Chinese)
常敏, 褚鹏蛟, 徐可欣. 近红外漫反射光谱无损检测乳粉蛋白质的研究[J]. 光谱学与光谱分析, 2007, 27(1):43-45.
[10] Wang Weidong, Gu Yunhong, Qin Guangyong, et al. Prediction of protein content of intact wheat seeds with near infrared reflectance spectroscopy(NIRS)[J]. Spectroscopy and Spectral Analysis, 2007, 27(4):697-701.(in Chinese)
王卫东, 谷运红, 秦广雍, 等. 近红外漫反射光谱法测定整粒小麦单株蛋白质含量[J]. 光谱学与光谱分析, 2007, 27(4): 697-701.
[11] Li Ning, Min Shungeng, Qin Fangli, et al. Nondestructive analysis of protein and fat in whole-kernel soybean by NIR[J]. Spectroscopy and Spectral Analysis, 2004, 24(1):45-49.(in Chinese)
李宁, 闵顺耕, 覃方丽, 等. 近红外光谱法非破坏性测定黄豆籽粒中蛋白质、脂肪含量[J]. 光谱学与光谱分析, 2004, 24(1):45-49.
[12] Alexandrakis D, Downey G, Scannell A G M. Rapid non-destructive detection of spoilage of intact chicken breast muscle using near-infrared and fourier transform mid-infrared spectroscopy and multivariate statistics[J]. Food and Bioprocess Technology, 2012, 5(1):338-347.
[13] Wu Di, Nie Pengcheng, He Yong, et al. Determination of calcium content in powdered milk using near and mid-infrared spectroscopy with variable selection and chemometrics[J]. Food and Bioprocess Technology, 2012, 5(4):1402-1410.
[14] Reeves I J, Delwiche S R. SAS partial least squares regression for analysis of spectroscopic data[J]. Near Infrared Spectrosc. 2003, 11: 415-431.
[15] LuWanzhen. ModernNearInfraredSpectroscopyTechnology [M]. Beijing: China Petrochemical Press, 2007.(in Chinese)
陆婉珍. 现代近红外光谱分析技术[M]. 北京:中国石化出版社, 2007.

相似文献/References:

[1]同娜,朱长军,宋立勋,等.聚对苯二甲酸乙二酯的拉曼光谱特性[J].深圳大学学报理工版,2015,32(No.6(551-660)):594.[doi:10.3724/SP.J.1249.2015.06594]
 Tong Na,Zhu Changjun,Song Lixun,et al.Characteristic of Raman spectra of polyethylene terephthalate[J].Journal of Shenzhen University Science and Engineering,2015,32(No.2(111-220)):594.[doi:10.3724/SP.J.1249.2015.06594]
[2]刘陵玉,常天英,张献生,等.太赫兹时域光谱结合PCA-LDA鉴别西洋参的研究[J].深圳大学学报理工版,2019,36(No.2(111-220)):207.[doi:10.3724/SP.J.1249.2019.02207]
 LIU Lingyu,CHANG Tianying,ZHANG Xiansheng,et al.Identification of American ginseng by terahertz time domain spectroscopy combined with principal component analysis and linear discriminant analysis[J].Journal of Shenzhen University Science and Engineering,2019,36(No.2(111-220)):207.[doi:10.3724/SP.J.1249.2019.02207]

备注/Memo

备注/Memo:
Received:2012-09-12;Accepted:2012-12-11
Foundation:National High Technology Research and Development Program of China (2006AA10Z236)
Corresponding author:Professor Liu Zhigang. E-mail: lgyun2005@gmail.com
Citation:Lian Guoyun, He Weiyi, Chen Yikun, et al. Determination of protein content in Locusta migratoria manilensis based on infrared spectroscopy[J]. Journal of Shenzhen University Science and Engineering, 2013, 30(2): 200-204.(in Chinese)

基金项目:国家高技术研究发展计划资助项目(2006AA10Z236)
作者简介:连国云(1977-),男(汉族),江西省吉安市人,深圳大学讲师、博士. E-mail: lgyun2005@gmail.com
引文:连国云,何伟逸,陈义昆,等. 红外光谱法测定东亚飞蝗蛋白质含量的研究[J]. 深圳大学学报理工版,2013,30(2):200-204.
更新日期/Last Update: 2013-03-21