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作 者:田晶[1] 李巧玲[1] TIAN Jing;LI Qiaoling(College of Bioscience and Bioengineering, Hebei University of Science and Technology, Shijiazhuang 050018, China)
机构地区:[1]河北科技大学生物科学与工程学院,河北石家庄050018
出 处:《食品科学》2018年第2期293-297,共5页Food Science
基 金:河北省科技计划项目(15455507D);河北科技大学五大平台开放基金项目(SW04)
摘 要:以光谱扫描范围为1 100~1 650 nm,分辨率为0.2 nm,通过对不同质量浓度的日落黄、柠檬黄、胭脂红和苋菜红溶液扫描,得到的原始光谱图经过一阶导数、二阶导数等方法进行预处理。然后通过修正的最小二乘(modified partial least square,MPLS)法结合变量标准化且去散射处理的光谱预处理手段建立相关的MPLS模型。最后利用所建模型,对饮料中的食用合成色素含量进行预测。预测相关系数最高可达0.991,预测标准差最低为0.009%,相对分析误差最大为3.51。结果表明,近红外光谱可作为一种简单、快速、无损、可靠的方法用于检测饮料中的食用合成色素。A rapid method based on near infrared(NIR) spectroscopy was developed for the determination of synthetic pigments in fruit-flavored beverage.NIR spectra of sunset yellow,tartrazine,ponceau 4 R and amaranth solutions at different concentrations were recorded in the wavenumber range of 1 100–1 650 nm at a 0.2 nm interval,respectively and preprocessed by first derivative and second derivative.The modified partial least square(MPLS) regression models were established after spectral preprocessing by standard normal variate(SNV) + detrending and applied to predict the synthetic pigment contents in beverage.The results showed that the maximum correlation coefficient of prediction(Rp) was 0.991,the minimum standard error of prediction(SEP) was 0.009%,and the maximum standard deviation ratio(SDR) was 3.51.Accordingly,NIR spectroscopy can be used as a simple,rapid,nondestructive and reliable method to determine the contents of synthetic pigments in beverage.
分 类 号:TS207.3[轻工技术与工程—食品科学]
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