量子电子学报

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基于吸收光谱的食用蓝色素浓度 模型的建立

代慧菊,李连忠   

  1. 江南大学理学院,江苏 无锡 214122
  • 出版日期:2018-11-28 发布日期:2018-11-14
  • 通讯作者: 李连忠 (1972-),山东人,教授,从事数学物理方程方面的研究。 E-mail: llz3497@163.com
  • 作者简介:代慧菊 (1992-),女,安徽人,研究生,从事数学物理方程方面的研究。
  • 基金资助:
    江苏省自然科学基金青年基金, BK20170171

Establishment of edible cyanine concentration model based on absorption spectroscopy

DAI Huiju LI Lianzhong   

  1. School of Science, Jiangnan University, Wuxi 214122, China
  • Published:2018-11-28 Online:2018-11-14
  • Supported by:
    Supported by Youth Fund of Natural Science Foundation of Jiangsu Province

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1.8 μg/m。

关键词: 吸收光谱, 定量分析, 食用色素, 线性回归

Abstract: he testing of food pigment content is an indispensable part in food safety detection. Edible indigo blue and brilliant blue, two basic types of cyanine, indigo and bright blue, 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 characteristic 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.

Key words: absorption spectroscopy, quantitative analysis, edible pigment, linear regression

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