摘要
食用色素含量检测是食品安全检测中必不可少的部分.选取食用靛蓝及亮蓝两种最基本的蓝色素进行研究,提出一种基于吸收光谱法的蓝色素鉴别及定量分析方案.通过对比分析两种色素的分子结构与特征峰间的关系,结合电子跃迁理论分析了两者吸收光谱的差异,并以特征峰间差异进行多组分体系中亮蓝色素的定量分析,建立最终模型。结果表明该模型的拟合程度很高,其线性回归系数达到0.99,平均检测残差达到1.8μg/ml。
The testing of food pigment content is an indispensable part in food safety detection. Edible in- digo blue and bright blue, two basic types of cyanine, are selected for research. A cyanine identification and quantitative analysis method based on absorption spectroscopy is proposed. By comparing the relationship between the molecular structure and characteristic peaks of these two types of cyanine and combining with electron transition theory, the difference of absorption spectra between them is analyzed. The quantitative analysis of bright blue pigment in multi-component system is carried out based on the difference of charac- teristic peaks, and the final model is established. Results show that the model has very high fitting degree, the linear regression coefficient reaches 0.99, and the average detection residual reaches 1.8 μg/ml.
作者
代慧菊
李连忠
DAI Huiju;LI Lianzhong(School of Science,Jiangnan University,Wuxi 214122,China)
出处
《量子电子学报》
CAS
CSCD
北大核心
2018年第6期649-652,共4页
Chinese Journal of Quantum Electronics
基金
江苏省自然科学基金青年基金
BK20170171~~
关键词
光谱学
吸收光谱
定量分析
食用色素
线性回归
spectroscopy
absorption spectroscopy
quantitative analysis
edible pigment
linear regression
