期刊文献+

基于牛乳加工工艺的NIRS研究 被引量:4

Relationship between Different Milk Processing and Near Infrared Spectra
在线阅读 下载PDF
导出
摘要 详细地分析了均质、巴氏杀菌等不同加工工艺对牛乳近红外光谱的影响,首次发现各种加工后的牛乳与原料乳间在1890nm附近有明显的区别,通过这一特征波长点可以很好地判断牛乳是否经过加工处理,该结果为近红外技术在牛乳质量控制方面的研究提供了理论基础。论述了均质后吸光度急剧下降的液体乳,经杀菌工艺后吸光度反而升高以及常温原料乳随着均质压力的不断增强,其吸光度在整个光谱区域均呈下降趋势,脂肪球的物理结构变化,最终导致了吸光度的下降的原因。以商品乳中是否含有复原乳的鉴别为例,探讨了复原乳检测的机理,并利用SIMCA方法创建了复原乳定性判别模型,在光谱1800~2200nm间,采用2D和Norris5.5预处理方法,判别结果表明对于商品乳中复原乳的正确辨别率可以达到98.1%。 In the present paper, the effects of different milk processing (homogenizing process, pasteurization) on the milk NIR spectra were discussed. It was found that the raw milk and processed milk show significant difference in the 1 890 nm region, which can be used not only to identify the processed milk, but also to offer the basic theory for NIRS in the quality control researches of milk. The absorbance sharply reduced when the liquid milk was treated by a homogenizer, but the absorbance increased after pasteurization. Raw milk's absorbance shows a downtrend in the whole region of spectra with increasing pressure. The changes in fat globule's structure finally result in absorbance decline. The commercial milk including remade milk was taken for example to discuss the mechanism of detection. The discriminate analysis calibration was developed by SIMCA method and the accuracy of detection is 98.1% for identifying the reconstituted milk in pasteurized milk between 1 800 and 2 200 nm with the pretreatment method of second derivatived and Norris 5.5.
出处 《光谱学与光谱分析》 SCIE EI CAS CSCD 北大核心 2008年第1期84-87,共4页 Spectroscopy and Spectral Analysis
基金 农业部948"液体食品质量检测技术及网络支持系统"(2003-Z74)项目资助
关键词 近红外光谱 原料乳 复原乳 均质 巴氏杀菌 NIRs Cow milk, Reconstituted milk Homogenize Pasteurization
  • 相关文献

参考文献19

二级参考文献59

  • 1闵顺耕,李宁,张明祥.近红外光谱分析中异常值的判别与定量模型优化[J].光谱学与光谱分析,2004,24(10):1205-1209. 被引量:119
  • 2何勇,冯水娟,李晓丽,裘正军.应用近红外光谱快速鉴别酸奶品种的研究[J].光谱学与光谱分析,2006,26(11):2021-2023. 被引量:45
  • 3[1]Evans, T. J., HC Ryley, LM Neale, JA Dodge and VM Lewarne. Effect of storage and heat on antimicrobial proteins in human milk. Archives of Disease in Childhood, 1978,53: 239-241.
  • 4[2]Guruprasad, K., B.V. Reddy., and M.W. Pandit. Correlation between stability of a protein and its dipeptide composition:a novel approaeh for predicting in vivo stability of a protein from its primary sequence. Protein Engineering, 1990, 4:155-161.
  • 5[3]Kumar, S., C-J. Tsai and R. Nussinov. Factors enhancing protein thermostability. Protein Engineering, 2000, 13 (3):179-191.
  • 6[4]Mainer, G., E. Dominguez., M. Randrup., et al. Effect of heat treatment on anti-rotavirus activity of bovine colostrum.J Dairy Res., 1999, 66(1):131-7.
  • 7[5]Mariel, G., Pikkemaat., A.B.M. Linssen., et al. Molecular dynamics simulations as a tool for improving protein stability. Protein Engineering, 2002, 15(3):185-192.
  • 8[6]Parker TG& Dalgleish DG. Binding of calcium ions to bovine beta-casein. J Dairy Res., 1981, 48(1):71-6.
  • 9[7]Saidi, B., J. J. Warthesen. Analysis and heat stability of taurine in milk. J Dairy Sci., 1990, 73:1700-1706.
  • 10[8]Singh H, Flynn A, Fox PF. Zinc binding in bovine milk.J Dairy Res. 1989; 56(2):249-63.

共引文献116

同被引文献118

引证文献4

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部