近红外光谱法检测婴幼儿营养米粉蛋白质含量
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摘要
以160个婴幼儿营养米粉为样品,应用近红外光谱技术和偏最小二乘法建立了婴幼儿营养米粉中蛋白质含量的近红外模型。比较了2、3、4、5、6、7、8 mm不同装样厚度(即光程)下样品近红外光谱的稳定性,通过样品光谱在不同波数下的标准差选定了5 mm为最佳的装样厚度;比较了变量标准化、导数、多元散射校正和9点平滑预处理方法对模型建立的影响,根据模型的相关系数和均方根误差确定了最佳的预处理方法,为变量标准化、一阶导数和9点平滑,预处理后的光谱数据结合国标方法测定的蛋白质含量建立了婴幼儿营养米粉中蛋白质含量的近红外定量分析模型,定标集和验证集相关系数分别为0.9856、0.9841,均方根误差分别为0.2431%、0.2456%,对已建立的近红外光谱定量分析模型进行了外部样品验证,预测准确度达到96%,验证结果证明了近红外检测技术与国标方法一致性较好,速度快且不需要样品前处理,在婴幼儿营养米粉蛋白质含量分析中具有广泛的应用价值。
A near infrared analysis model of protein contents in nutritious infant rice flour was established by using near infrared spectroscopy and partial least square method.The spectral stability of the sample with different sample thickness 2,3,4,5,6,7,8 mm were compared.The standard deviation of the sample spectrum under different wave number determined that 5 mm was the best loading thickness. The effects of variable standardization,first order derivative,multivariate scattering correction and9-point smoothing preprocessing method on the model establishment were compared.According to the correlation coefficient and root mean square error of the model,the best pretreatment methods were variable standardization,first derivative and 9-point smoothing.The near infrared quantitative analysis model of protein contents in infant nutritious rice flour was established. The calibration correlation coefficients of calibration set and verification set were 0.9856,0.9841,and the root mean square error were 0.2431%,0.2456%,respectively. The established NIR quantitative analysis model was verified by external samples. The accuracy of prediction was 96%. The results showed that the near infrared detection method was consistent with the national standard method,and it was fast and didn't need sample pretreatment.It would have wide application value in the analysis of protein content of infant nutritious rice flour.
A near infrared analysis model of protein contents in nutritious infant rice flour was established by using near infrared spectroscopy and partial least square method.The spectral stability of the sample with different sample thickness 2,3,4,5,6,7,8 mm were compared.The standard deviation of the sample spectrum under different wave number determined that 5 mm was the best loading thickness. The effects of variable standardization,first order derivative,multivariate scattering correction and9-point smoothing preprocessing method on the model establishment were compared.According to the correlation coefficient and root mean square error of the model,the best pretreatment methods were variable standardization,first derivative and 9-point smoothing.The near infrared quantitative analysis model of protein contents in infant nutritious rice flour was established. The calibration correlation coefficients of calibration set and verification set were 0.9856,0.9841,and the root mean square error were 0.2431%,0.2456%,respectively. The established NIR quantitative analysis model was verified by external samples. The accuracy of prediction was 96%. The results showed that the near infrared detection method was consistent with the national standard method,and it was fast and didn't need sample pretreatment.It would have wide application value in the analysis of protein content of infant nutritious rice flour.
引文
[1]中华人民共和国卫生部.GB 10769-2010食品安全国家标准婴幼儿谷类辅助食品[S].北京:中国标准出版社,2010.
[2]中华人民共和国卫生部.GB 10767-2010食品安全国家标准较大婴儿和幼儿配方食品[S].北京:中国标准出版社,2010.
[3]潘菁.婴幼儿营养米粉配方优化及加工关键技术研究[D].无锡:江南大学,2012.
[4]潘菁,汪何雅,钱和.一种婴幼儿低敏营养米粉的配方及关键工艺的研究[J].食品工业科技,2012,33(9):268-270.
[5]魏红,徐宏伟,钟红舰,等.膳食纤维的应用及检测方法[J].海峡预防医学杂志,2004(2):25-27.
[6]姚宁,程顺国.近红外光谱分析技术及发展前景[J].现代制造技术与装备,2012(5):71-74.
[7]朱向荣,单杨,李高阳,等.近红外光谱法快速测定液态奶中蛋白质和脂肪含量[J].食品科学,2011,32(12):191-195.
[8]谷月,赵武奇,李晓丹,等.近红外光谱技术对液态奶制品中乳糖,脂肪,蛋白质的定量检测[J].宁夏大学学报,2012,33(4):376-380.
[9]李德海,孙常雁,孙莉洁,等.婴幼儿断乳期营养米粉的研究进展[J].食品工业科技,2010(3):401-404.
[10]Ouissan Abbas,Bernard Lecler,Pierre Dardenne,et al.Detection of melamine and cyanuric acid in feed ingredients by near infrared spectroscopy and chemometrics[J]. Journal of Near Infrared Spectroscopy,2013,21(3):183.
[11]Andrei Kalinin,Viktor Krasheninnikov,Sergei Sadovskiy,et al.Determining the composition of proteins in milk using a portable near infraredspectrometer[J]. Journal of Near Infrared Spectroscopy,2013,21(5):409.
[12]Cédric Camps,Marianne Gérard,Mélanie Quennoz,et al.Prediction of essential oil content of oregano by hand-held and Fourier transform NIR spectroscopy[J].Journal of the Science of Food and Agriculture,2014,94(7):1397-1402.
[13]刘晓春,陈磊,丁勇宝,等.常量法检测蛋白质的方法改进[J].轻工科技,2013(5):126-127.
[14]中华人民共和国卫生部.GB 5009.5-2010,食品安全国家标准食品中蛋白质的测定[S].北京:中国标准出版社,2010.
[15]陆婉珍.现在近红外光谱分析技术第二版[M].北京:中国石化出版社,2006.
[16]王伟,张玉,王楠,等.基于傅里叶变换近红外光谱的奶粉品质优劣鉴别[J].浙江农业科学,2015,56(11):1794-1795.
[17]穆同娜,庄胜利,赵玉琪,等.近红外光谱法快速检测婴儿配方奶粉中脂肪酸含量[J].现代食品科技,2015,31(4):277-281.
[18]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.
[19]程文宇,管骁,刘静.近红外光谱技术检测液态奶中微量三聚氰胺的可行性研究[J].食品与机械,2015(1):71-74,81.
[2]中华人民共和国卫生部.GB 10767-2010食品安全国家标准较大婴儿和幼儿配方食品[S].北京:中国标准出版社,2010.
[3]潘菁.婴幼儿营养米粉配方优化及加工关键技术研究[D].无锡:江南大学,2012.
[4]潘菁,汪何雅,钱和.一种婴幼儿低敏营养米粉的配方及关键工艺的研究[J].食品工业科技,2012,33(9):268-270.
[5]魏红,徐宏伟,钟红舰,等.膳食纤维的应用及检测方法[J].海峡预防医学杂志,2004(2):25-27.
[6]姚宁,程顺国.近红外光谱分析技术及发展前景[J].现代制造技术与装备,2012(5):71-74.
[7]朱向荣,单杨,李高阳,等.近红外光谱法快速测定液态奶中蛋白质和脂肪含量[J].食品科学,2011,32(12):191-195.
[8]谷月,赵武奇,李晓丹,等.近红外光谱技术对液态奶制品中乳糖,脂肪,蛋白质的定量检测[J].宁夏大学学报,2012,33(4):376-380.
[9]李德海,孙常雁,孙莉洁,等.婴幼儿断乳期营养米粉的研究进展[J].食品工业科技,2010(3):401-404.
[10]Ouissan Abbas,Bernard Lecler,Pierre Dardenne,et al.Detection of melamine and cyanuric acid in feed ingredients by near infrared spectroscopy and chemometrics[J]. Journal of Near Infrared Spectroscopy,2013,21(3):183.
[11]Andrei Kalinin,Viktor Krasheninnikov,Sergei Sadovskiy,et al.Determining the composition of proteins in milk using a portable near infraredspectrometer[J]. Journal of Near Infrared Spectroscopy,2013,21(5):409.
[12]Cédric Camps,Marianne Gérard,Mélanie Quennoz,et al.Prediction of essential oil content of oregano by hand-held and Fourier transform NIR spectroscopy[J].Journal of the Science of Food and Agriculture,2014,94(7):1397-1402.
[13]刘晓春,陈磊,丁勇宝,等.常量法检测蛋白质的方法改进[J].轻工科技,2013(5):126-127.
[14]中华人民共和国卫生部.GB 5009.5-2010,食品安全国家标准食品中蛋白质的测定[S].北京:中国标准出版社,2010.
[15]陆婉珍.现在近红外光谱分析技术第二版[M].北京:中国石化出版社,2006.
[16]王伟,张玉,王楠,等.基于傅里叶变换近红外光谱的奶粉品质优劣鉴别[J].浙江农业科学,2015,56(11):1794-1795.
[17]穆同娜,庄胜利,赵玉琪,等.近红外光谱法快速检测婴儿配方奶粉中脂肪酸含量[J].现代食品科技,2015,31(4):277-281.
[18]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.
[19]程文宇,管骁,刘静.近红外光谱技术检测液态奶中微量三聚氰胺的可行性研究[J].食品与机械,2015(1):71-74,81.