Experimental Study of Differential Spectrum Method for Elimination of Tissue Background in Noninvasive Biochemical Detection

	Experimental Study of Differential Spectrum Method for Elimination of Tissue Background in Noninvasive Biochemical Detection
	Ding H. Q.; Lu Q. P.; Gao H. Z.
	2012
发表期刊	Spectroscopy and Spectral Analysis
ISSN	1000-0593
卷号	32 期号:9 页码:2347-2350
摘要	In noninvasive biochemical detection, the differential spectrum method based on the change in blood volume can eliminate the interference of human tissue background in theory, and obtain effective spectrum information of blood. In order to demonstrate the effectiveness of the differential spectrum method, simulated experiment was designed. Biological molecules solutions were used for simulating serum sample, filters with different absorption characteristic were used for simulating interference of tissue background, and an adjustable path-length cell was used for simulating blood volume change. Model accuracies of pre- and post-treatment with differential spectrum method were compared. Thus treated, the root mean square error of cross validation (RMSECV) reduced from 437 to 301 mg . dL(-1). The experimental results indicate that using the differential spectrum method can effectively restrain the interference of tissue background, and greatly improve the prediction precision of calibration model.
收录类别	SCI
语种	中文
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/34061
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Ding H. Q.,Lu Q. P.,Gao H. Z.. Experimental Study of Differential Spectrum Method for Elimination of Tissue Background in Noninvasive Biochemical Detection[J]. Spectroscopy and Spectral Analysis,2012,32(9):2347-2350.
APA	Ding H. Q.,Lu Q. P.,&Gao H. Z..(2012).Experimental Study of Differential Spectrum Method for Elimination of Tissue Background in Noninvasive Biochemical Detection.Spectroscopy and Spectral Analysis,32(9),2347-2350.
MLA	Ding H. Q.,et al."Experimental Study of Differential Spectrum Method for Elimination of Tissue Background in Noninvasive Biochemical Detection".Spectroscopy and Spectral Analysis 32.9(2012):2347-2350.

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