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

作者：Liu, Ai; Li, Gang; Fu, Zhigang; Guan, Yang; Lin, Ling^*

来源：Scientific Reports, 2018, 8(1): 8564.

DOI：10.1038/s41598-018-26802-w

• NEAR-INFRARED SPECTROSCOPY
• SCATTER-CORRECTION
• SIGNAL CORRECTION
• LIGHT-SCATTERING
• MULTIVARIATE CALIBRATION
• NONINVASIVE MEASUREMENT
• OPTICAL-PROPERTIES
• PHOTOPLETHYSMOGRAPHY
• ACID

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 (H b) 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.

• 出版日期2018-6-4
• 单位天津大学