Improvement of model performance for near-infrared non-invasive biochemical analysis by pathlength correction space method

GAO Hong-zhi; LU Qi-peng; DING Hai-quan; CHEN Si-wei

doi:10.3788/OPE.20132108.1974

您当前的位置：

首页 >

文章列表页 >

Improvement of model performance for near-infrared non-invasive biochemical analysis by pathlength correction space method

更新时间：2020-08-12

- Improvement of model performance for near-infrared non-invasive biochemical analysis by pathlength correction space method
- Optics and Precision Engineering Vol. 21, Issue 8, Pages: 1974-1980(2013)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所应用光学国家重点实验室,吉林长春,130033
  2. 吉林大学化学学院,吉林长春,130012
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20132108.1974
  CLC： O433.1;O657.33
- Received：22 January 2013，
  
  Revised：13 March 2013，
  
  Published Online：20 August 2013，
  
  Published：15 August 2013
- 稿件说明：
移动端阅览
高洪智卢启鹏丁海泉. 应用光程校正空间方法提升近红外无创生化分析模型性能[J]. 光学精密工程, 2013,21(8): 1974-1980

GAO Hong-zhi LU Qi-peng DING Hai-quan CHEN Si-wei. Improvement of model performance for near-infrared non-invasive biochemical analysis by pathlength correction space method[J]. Editorial Office of Optics and Precision Engineering, 2013,21(8): 1974-1980
高洪智卢启鹏丁海泉. 应用光程校正空间方法提升近红外无创生化分析模型性能[J]. 光学精密工程, 2013,21(8): 1974-1980 DOI： 10.3788/OPE.20132108.1974.

GAO Hong-zhi LU Qi-peng DING Hai-quan CHEN Si-wei. Improvement of model performance for near-infrared non-invasive biochemical analysis by pathlength correction space method[J]. Editorial Office of Optics and Precision Engineering, 2013,21(8): 1974-1980 DOI： 10.3788/OPE.20132108.1974.

摘要

由于采用血流容积差光谱相减法进行近红外无创生化分析得到的样品光谱光程不定，很难得到高性能的定标模型，本文提出采用光程校正空间法来消除光程差异，提升定标模型性能。首先，介绍了净信号分析的原理和校正空间的获取方法；根据血流容积差光谱相减法的特点，提出了采用光程校正空间获取待测组分净信号的方法。然后，以含葡萄糖的脂肪乳溶液为例，通过光程校正空间获取葡萄糖净信号，建立定标模型。实验结果表明：相比没有处理光程直接建立的定标模型，采用光程校正空间后所建立的模型相关系数（R）从0.978 1提升到0.997 7，定标均方根偏差（RMSEC）从77.52 mg/dL下降到25.02 mg/dL，交叉验证均方根偏差(RMSECV)从93.01 mg/dL下降到68.22 mg/dL。结果显示

采用光程校正空间的净信号分析能够有效抑制光程差异对定标模型的影响，为血流容积差光谱相减法的实际应用奠定了基础。

Abstract

As the spectral pathlength obtained by spectral subtraction approach with different flow blood volumes is uncertain in a near-infrared noninvasive biochemical analysis

it is difficult to obtain a high performance calibration model. Therefore

a pathlength correction space method was proposed to eliminate the uncertain and to improve the performance of calibration. Firstly

the principle of Net Analyte Signal (NAS) and how to obtain a correction space were introduced. Then

a new approach to get NAS was proposed using the pathlength correction space according to the features of spectral subtraction approach. Finally

by taking the intralipid with different glucose concentrations for example

the NAS of glucose was acquired by using the pathlength correction space and a calibration model was established. Compared with the Partial Least Square(PLS) model without pathlength correction space

the correlation coefficient has been improved from 0.978 1 to 0.997 7

the Root Mean Square Error of Calibration (RMSEC) from 77.52 mg/dL down to 25.02 mg/dL

and the Root Mean Square Error of Cross Validation (RMSECV) from 93.01 mg/dL down to 68.22 mg/dL. The analysis result verifies that the pathlength correction space can effectively restrain the influence of different pathlengths and the method can set the stage for the practical application of the spectral subtraction approach with different flow blood volumes.

关键词

Keywords

references

HEISE H M，MARBCH R．Multivariate determination of blood substrates in human plasma by FT-NIR spectroscopy[J]．The International Society for Optical Engineering，1991,1575:507-508．[2]AMEROV A K，CHEN J，AMOLD M A．Scattering and absorption effects in the determination of glucose in whole blood by near-infrared spectroscopy [J]．Analytical Chemistry, 2005,77:4587-4594．[3]罗云瀚,陈哲,陈星旦. 近红外光谱无创血糖测量的极限检测浓度研究[J]. 光学精密工程, 2008,16(5):784-789.LUO Y H, CHEN ZH, CHEN X D, Detection limit of glucose concentration in noninvasive sensing with near infrared spectroscopy [J]. Opt. Precision Eng., 2008,16(5):784-789. (in Chinese)[4]ALEXEEVA N V,ARNOLD M A．Impact of tissue heterogeneity on noninvasive near infrared glucose measurements in interstitial fluid of rat skin [J]．Journal of Diabetes Science and Technology, 2010,4:1041-1054.[5]刘振尧，潘涛.可见-近红外光谱测定血红蛋白的等效波段选择[J].光学精密工程, 2012,20(10):2170-2175.LIU Z Y, PAN T. Equivalent waveband selection of VIS-NIR spectroscopic measurement for hemoglobin [J]. Opt. Precision Eng., 2012, 20(10): 2170-2175. (in Chinese)[6]卢启鹏，陈丛，彭忠琦.自适应滤波在近红外无创生化分析中的应用[J].光学精密工程, 2012, 20(4): 873-879.LU Q P, CHEN C, PENG ZH Q. Application of adaptive filter to noninvasive biochemical examination by near infrared spectroscopy [J]. Opt. Precision Eng., 2012, 20(4): 873-879. (in Chinese)[7]陈星旦. 近红外无创生化检验的可能性[J].光学精密工程, 2008,16(5): 759-763. CHEN X D. Possibility of noninvasive clinical biochemical examination by near infrared spectroscopy [J]. Opt. Precision Eng., 2008, 16(5): 759-763. (in Chinese)[8]陈星旦, 高静, 丁海泉. 论无创血糖监测的红外光谱方法[J]. 中国光学, 2012(4):317-326.CHEN X D, GAO J, DING H Q. Infrared spectroscopy for non-invasive blood glucose monitoring[J]．Chinese Optics，2012(4):317-326．(in Chinese)[9]YAMAKOSHI K，YAMAKOSHI Y．Pulse glucometry: a new approach for noninvasive blood glucose measurement using instantaneous differential near-infrared spectrophotometry [J]．Journal of Biomedical Optics，2006,11(5):054028．[10]张志勇，门剑龙，李刚，等．动态光谱法用于人体血红蛋白浓度的无创测量[J]．光谱学与光谱分析，2010，30(1):150-153．ZHANG ZH Y, MEN J L, LI G. Non-invasive measurement of human hemoglobin concentration by dynamic spectrum method [J]. Spectroscopy and Spectral Analysis, 2010，30(1):150-153．(in Chinese)[11]YANG Y, CHEN W L, SHI ZH ZH, et al.. Reference point of floating-reference method for blood glucose sensing [J]. Chinese Optics Letters,2010,8(4):421-424．[12]丁海泉,卢启鹏,高洪智. 光谱相减法用于无创生化检测中背景扣除实验研究[J].光谱学与光谱分析, 2012,32(9): 2347-2350. DING H Q, LU Q P, GAO H ZH. Experimental study of differential spectum method for elimination of tissue background in noninvasive biochemical detection [J]. Spectroscopy and Spectral Analysis, 2012,32(9): 2347-2350. (in Chinese) [13]高洪智，卢启鹏，丁海泉.近红外无创生化检测中不同光程的光谱校正模型的研究[J]．光谱学与光谱分析，2012，32 (5):1423-1426.GAO H ZH, LU Q P, DING H Q. Study of calibration model of different pathlength spectra in near infrared noninvasive biochemical sensing[J]. Spectroscopy and Spectral Analysis, 2012，32 (5):1423-1426. (in Chinese)[14]LORBER A．Error propagation and figures of merit for quantification by solving matrix equations [J]．Analytical Chemistry,1986，58:1167-1172．[15]LORBER A．Net analyte signal calculation in multivariate calibration [J]．Analytical Chemistry,1997,69:1620-1626．[16]OLESBERG J T， LIU L，ZEE V V，et al.．In vivo near-infrared spectroscopy of rat skin tissue with varying blood glucose levels [J]．Analytical Chemistry，2006,78(1):215-223[17]OLESBERG J T，AMOLD M A，HU S B．Temperature-insensitive near-infrared method for determination of protein concentration during protein crystal growth[J]．Analytical Chemistry,2000,72(20):4985-4990．[18]RILEY M R，ARNOLD M A，MURHAMMER D W．Effect of sample complexity on quantification of analytes aqueous samples by near-infrared spectroscopy [J]．Applied Spectroscopy，2000,54(2):255-261．[19]刘蓉，陈文亮，谷筱玉，等．人体血糖无创测量中净信号的提取方法[J]．纳米技术与精密工程，2008,6(3):207-211．LIU R, CHEN W L, GU X Y, et al.. Extraction of net analyte signal in the noninvasive blood glucose sensing [J]．Nanotechnology and Precision Engineering，2008,6(3):207-211．(in Chinese)[20]张琳，张春平．组织模拟液Intralipid-10%的吸收系数和各向异性因子的测量[J]．发光学报，2009，30(6):858-861．ZHANG L, ZHANG CH P. Measurements of absorption and anisotropy coefficients in fat emulsion intralipid-10% [J]．Chinese Journay of Luminescence，2009，30(6):858-861．(in Chinese)[21]杨皓旻，高洪智，王动民，等. 血清中胆固醇、甘油三酯近红外水窗波段光谱检测研究[C].全国第二届近红外光谱学术会议论文集，2008:311-314.YANG H M, GAO H ZH, WANG D M, et al.. Study on determination of cholesterol and triglyceride in human serum utilizing Near-infrared water windows[C]. Proceedings of the 2nd Chinese Conference on Near Infrared Spectroscopy, 2008:311-314. (in Chinese)[22]AMEROV A K，CHEN J，SMALL G W．Molar absorptivities of glucose and other biological molecules in aqueous solutions over the first overtone and combination regions of the near-infrared Spectrum[J]．Applied Spectroscopy，2004,58(10):1195-1204．

Views

116

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Identification of bruised kiwifruits during storage by near infrared spectroscopy and extreme learning machine

Application of adaptive filter to noninvasive biochemical examination by near infrared spectroscopy

No-chemical monitoring and fast analysis on total nitrogen in water

Related Author

GUO Wen-chuan

WANG Ming-hai

GU Jing-si

ZHU Xin-hua

LU Qi-peng

CHEN Cong

PENG Zhong-qi

LIU Hong-xin

Related Institution

西北农林科技大学机械与电子工程学院，陕西杨凌

Graduate University of Chinese Academy of Sciences

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences

Department of Electro-optical Engineering, Jinan University

Department of Environmental Engineering, Jinan University

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰