Rapid and nondestructive measurement of glucose in a skin tissue phantom by near-infrared spectroscopy

被引：13
作者：
Xue Jintao [1 ,2 ]
Ye Liming [2 ]
Li Chunyan [1 ,3 ]
Zhang Mingxiang [1 ]
Li Peng [1 ]
机构：
[1] Xinxiang Med Univ, Sch Pharm, Xinxiang 453003, Henan, Peoples R China
[2] Sichuan Univ, West China Sch Pharm, Chengdu 610041, Sichuan, Peoples R China
[3] Xinxiang Med Univ, Scatquan Coll, Xinxiang 453003, Henan, Peoples R China
来源：
OPTIK | 2018年 / 170卷
基金：
中国国家自然科学基金;
关键词：
Near-infrared spectroscopy; Blood glucose assay; Skin tissue phantom; Partial least squares; RAMAN-SPECTROSCOPY; NIR SPECTROSCOPY; CALIBRATION; TECHNOLOGY;
D O I：
10.1016/j.ijleo.2018.05.050
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Diabetes is one of the most serious metabolic diseases worldwide, and frequent monitoring of blood glucose is an essential part of diabetic management. However, a significant drawback of current monitoring methods was destructive and time-consuming. To meet this need, this study was to develop a method for rapid and noninvasive blood glucose assay in a skin tissue phantom by Near-Infrared spectroscopy (NIBS) and Raman spectroscopy. With partial least-squares (PLS) regression method, the multivariate calibration models of NIBS were generated and optimized individually by considering spectral region, spectral pretreatment methods and latent variables (LVs). The optimal NIR model was established with root mean square error of cross-validation (RMSECV) of 0.114, root mean square error of validation (RMSEP) of 0.061, correlation coefficient (R) of 0.9933, and residual predictive deviation (RPD) of 12.2, respectively. The validation results demonstrated that NIBS could be applied for rapid and noninvasive blood glucose assay.
引用
收藏
页码：30 / 36
页数：7
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