Detection of total bilirubin based on multi-wavelength excitation fluorescence spectroscopy

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Kang Wang , Shuo Wang , Ling Lin , Zhe Zhao , Gang Li
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引用次数: 0

Abstract

Due to the overlapping absorption lines of all components in the blood, the spectrum of total bilirubin is largely obscured by strongly absorbing components, making it difficult to obtain high-precision detection results. Therefore, this article proposes a detection method for multi wavelength excitation fluorescence spectroscopy. The experiment collected fluorescence spectra of 325 samples at four wavelengths and established a total bilirubin model. In the experimental results, compared with the single wavelength method, the multi wavelength method reduced the root mean square error of the modeling set and prediction set by 50.5 % and 55.7 %, respectively, and reduced the mean absolute error of the sample prediction results to 2.121 μmol/L. The experimental results show that this article improves the spectral line difference coefficient between target and non-target components by increasing the information carried by the spectrum and the constraint equation of data analysis, while providing a complete research idea and method for the detection of other blood components with fluorescence effects.
基于多波长激发荧光光谱法检测总胆红素
由于血液中各组分的吸收谱线重叠,总胆红素的光谱在很大程度上被强吸收组分遮挡,难以获得高精度的检测结果。因此,本文提出了一种多波长激发荧光光谱检测方法。实验收集了325个样品在4个波长的荧光光谱,建立了总胆红素模型。实验结果表明,与单波长方法相比,多波长方法将建模集和预测集的均方根误差分别降低了50.5%和55.7%,将样品预测结果的平均绝对误差降低到2.121 μmol/L。实验结果表明,本文通过增加光谱所携带的信息和数据分析的约束方程,提高了目标成分与非目标成分之间的谱线差系数,同时为其他具有荧光效应的血液成分的检测提供了完整的研究思路和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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