Non-linearity correction in NIR absorption spectra by grouping modeling according to the content of analyte

Abstract To correct the non-linearity caused by light scattering in quantitative analysis with near infrared absorption spectra, a new modeling analysis method was proposed: grouping modeling according to the content of analyte. In this study, we tested the proposed method for non-invasive detection...

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Autores principales:	Ai Liu, Gang Li, Zhigang Fu, Yang Guan, Ling Lin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4a02ea9485e8435c844cf13c6e6bc99d
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spelling	oai:doaj.org-article:4a02ea9485e8435c844cf13c6e6bc99d2021-12-02T15:07:57ZNon-linearity correction in NIR absorption spectra by grouping modeling according to the content of analyte10.1038/s41598-018-26802-w2045-2322https://doaj.org/article/4a02ea9485e8435c844cf13c6e6bc99d2018-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-26802-whttps://doaj.org/toc/2045-2322Abstract To correct the non-linearity caused by light scattering in quantitative analysis with near infrared absorption spectra, a new modeling analysis method was proposed: grouping modeling according to the content of analyte. In this study, we tested the proposed method for non-invasive detection of human hemoglobin (Hb) based on dynamic spectrum (DS). We compared the prediction performance of the proposed method with non-grouping modeling method. Experimental results showed that the root mean square error of the prediction set (RMSEP) by the proposed method was reduced by 9.96% and relative standard deviation of the prediction set (RSDP) was reduced by 4.73%. The results demonstrated that the proposed method could reduce the effects of non-linearity on the composition analysis by spectroscopy. This research provides a new method for correcting the non-linearity stemming from light scattering. And the proposed method will accelerate the pace of non-invasive detection of blood components into clinical application.Ai LiuGang LiZhigang FuYang GuanLing LinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ai Liu Gang Li Zhigang Fu Yang Guan Ling Lin Non-linearity correction in NIR absorption spectra by grouping modeling according to the content of analyte
description	Abstract To correct the non-linearity caused by light scattering in quantitative analysis with near infrared absorption spectra, a new modeling analysis method was proposed: grouping modeling according to the content of analyte. In this study, we tested the proposed method for non-invasive detection of human hemoglobin (Hb) based on dynamic spectrum (DS). We compared the prediction performance of the proposed method with non-grouping modeling method. Experimental results showed that the root mean square error of the prediction set (RMSEP) by the proposed method was reduced by 9.96% and relative standard deviation of the prediction set (RSDP) was reduced by 4.73%. The results demonstrated that the proposed method could reduce the effects of non-linearity on the composition analysis by spectroscopy. This research provides a new method for correcting the non-linearity stemming from light scattering. And the proposed method will accelerate the pace of non-invasive detection of blood components into clinical application.
format	article
author	Ai Liu Gang Li Zhigang Fu Yang Guan Ling Lin
author_facet	Ai Liu Gang Li Zhigang Fu Yang Guan Ling Lin
author_sort	Ai Liu
title	Non-linearity correction in NIR absorption spectra by grouping modeling according to the content of analyte
title_short	Non-linearity correction in NIR absorption spectra by grouping modeling according to the content of analyte
title_full	Non-linearity correction in NIR absorption spectra by grouping modeling according to the content of analyte
title_fullStr	Non-linearity correction in NIR absorption spectra by grouping modeling according to the content of analyte
title_full_unstemmed	Non-linearity correction in NIR absorption spectra by grouping modeling according to the content of analyte
title_sort	non-linearity correction in nir absorption spectra by grouping modeling according to the content of analyte
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/4a02ea9485e8435c844cf13c6e6bc99d
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_version_	1718388312283021312

Non-linearity correction in NIR absorption spectra by grouping modeling according to the content of analyte

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