首页|Tchebichef图像矩方法在B族维生素中多组分同时定量分析中的应用

Tchebichef图像矩方法在B族维生素中多组分同时定量分析中的应用

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化学结构相似的目标组分光谱之间信号重叠现象比较严重,使得传统的分离定量分析方法在复杂体系多组分定量分析方面仍有不足之处.化学计量学方法能够实现在复杂体系中分离目标组分特征信息,排除干扰,从而实现多组分同时定量分析.本研究利用Tchebichef图像矩方法基于三维荧光图谱建立了B族维生素中三种组分Vitamin B1(VB1)、Vitamin B2(VB2)和Vitamin B6(VB6)的定量模型,且三个模型均具有满意的相关系数(R2)、调整相关系数(Radj2)以及均方根误差(RMSE).同时,三个模型的预测相关系数(Rp2)均在0.9379以上,表明建立的定量模型具有较高的准确性、可靠性以及良好的预测能力.最后,该定量模型被成功应用于不同厂家生产的复合维生素B片中三种组分的测定.由此可见,Tchebichef图像矩方法能够很好地解决多目标组分的信号重叠与干扰,为复杂体系中多组分的同时定量分析提供了重要基础.
Application of Tchebichef image moment method for simultaneous quantitative analysis of multiple components in B-vitamins
The serious overlap of the spectra signals of multiple components with similar chemical structures makes the traditional quantitative analysis methods still have shortcomings for multi-component quantitative analysis of complex systems.The chemometrics methods could separate the characteristic information of the target components and eliminate interference,realizing the quantitative analysis of multi-components at the same time.Herein,the Tchebichef image moment method was employed to establish the quantitative models of Vitamin B1(VB1),Vitamin B2(VB2)and Vitamin B6(VB6)in B-vitamins based on three-dimensional fluorescence spectra.The established models have satisfactory correlation coefficient(R2),adjusted correlation coefficient(Radj2)and root mean square error(RMSE).At the same time,the prediction correlation coefficients(Rp2)of the three models are above 0.9379,indicating that the established quantitative models have high accuracy,reliability and good prediction ability.Finally,the quantitative models have been successfully applied in the determination of three components of B-vitamin complex tablets produced by different manufacturers.It could be seen that the Tchebichef image moment method can solve the signal overlap and interference of multi-target components and provides an important basis for the simultaneous quantitative analysis of multi-components in complex systems.

Tchebichef image momentsignal overlappingcomplex systemquantitative analysismulti-component

殷博、蒋蓉、冶梅、赵玉霞、朱继华、张明锦

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青海师范大学化学化工学院,西宁 810016

青海省环境功能材料先进技术与应用重点实验室,西宁 810016

青海省人民政府-北京师范大学高原科学与可持续发展研究院,西宁 810016

Tchebichef图像矩 信号重叠 复杂体系 定量分析 多组分

青海师范大学中青年科研基金青海省"昆仑英才·高端创新创业人才"项目资助

KJQN2022012

2024

中国科学(化学)
中国科学院

中国科学(化学)

CSTPCD北大核心
影响因子:0.685
ISSN:1674-7224
年,卷(期):2024.54(6)
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