A spectral recovery method for Raman spectroscopy utilizing prior datasets

被引：1

作者：

Li, Qifeng ^{[1
,2
]}

Ma, Xiangyun ^{[1
]}

Sun, Xueqing ^{[1
]}

Wang, Huijie ^{[1
]}

Yu, Hui ^{[1
]}

Xu, Kexin ^{[1
]}

机构：

[1] Tianjin Univ, State Key Lab Precis Measurement Technol & Instru, Tianjin 300072, Peoples R China

[2] Tianjin Key Lab Environm Monitoring Tech, Tianjin 300072, Peoples R China

来源：

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY | 2020年 / 225卷

关键词：

Spectral recovery; Raman spectroscopy; Prior datasets; Low-rank; Quantitative analysis; QUANTITATIVE-ANALYSIS; SUBTRACTION ALGORITHM;

D O I：

10.1016/j.saa.2019.117505

中图分类号：

O433 [光谱学];

学科分类号：

0703 ; 070302 ;

摘要：

Spectral-based method has been widely used for the qualitative and quantitative analysis of different substances in various fields. The spectral recovery method is a crucial role in the spectral-based method, which can save the measurement cost and computation time in measuring. In this paper, we introduce a simple and reliable spectral recovery method base on prior datasets, which can tolerate substantial spectral noise. The method has been successfully applied in the quantitative analysis of the pharmaceutical mixture. The SNR of the recovery spectra can be increased by similar to 100 times. (C) 2019 Published by Elsevier B.V.

引用

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