Literature DB >> 30046865

Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing.

Surya P Singh1, Soumavo Mukherjee2, Luis H Galindo1, Peter T C So1, Ramachandra Rao Dasari1, Uzma Zubair Khan3, Raghuraman Kannan4, Anandhi Upendran5,6, Jeon Woong Kang7.   

Abstract

Optical monitoring of blood glucose levels for non-invasive diagnosis is a growing area of research. Recent efforts in this direction have been inclined towards reducing the requirement of calibration framework. Here, we are presenting a systematic investigation on the influence of variation in the ratio of calibration and validation points on the prospective predictive accuracy of spectral models. A fiber-optic probe coupled Raman system has been employed for transcutaneous measurements. Limit of agreement analysis between serum and partial least square regression predicted spectroscopic glucose values has been performed for accurate comparison. Findings are suggestive of strong predictive accuracy of spectroscopic models without requiring substantive calibration measurements. Graphical abstract.

Entities:  

Keywords:  Diabetes; Glucose sensing; Partial least squares regression; Raman spectroscopy

Mesh:

Substances:

Year:  2018        PMID: 30046865      PMCID: PMC6128756          DOI: 10.1007/s00216-018-1244-y

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  34 in total

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Journal:  Phys Med Biol       Date:  2000-02       Impact factor: 3.609

2.  Reagentless blood analysis by near-infrared Raman spectroscopy.

Authors:  T W Koo; A J Berger; I Itzkan; G Horowitz; M S Feld
Journal:  Diabetes Technol Ther       Date:  1999       Impact factor: 6.118

Review 3.  Non-invasive glucose measurement technologies: an update from 1999 to the dawn of the new millennium.

Authors:  Omar S Khalil
Journal:  Diabetes Technol Ther       Date:  2004-10       Impact factor: 6.118

4.  Evaluating clinical accuracy of systems for self-monitoring of blood glucose.

Authors:  W L Clarke; D Cox; L A Gonder-Frederick; W Carter; S L Pohl
Journal:  Diabetes Care       Date:  1987 Sep-Oct       Impact factor: 19.112

5.  Noninvasive glucose sensing by transcutaneous Raman spectroscopy.

Authors:  Wei-Chuan Shih; Kate L Bechtel; Mihailo V Rebec
Journal:  J Biomed Opt       Date:  2015-05       Impact factor: 3.170

6.  Requirements for calibration in noninvasive glucose monitoring by Raman spectroscopy.

Authors:  Jan Lipson; Jeff Bernhardt; Ueyn Block; William R Freeman; Rudy Hofmeister; Maya Hristakeva; Thomas Lenosky; Robert McNamara; Danny Petrasek; David Veltkamp; Stephen Waydo
Journal:  J Diabetes Sci Technol       Date:  2009-03-01

7.  Noninvasive Monitoring of Blood Glucose with Raman Spectroscopy.

Authors:  Rishikesh Pandey; Santosh Kumar Paidi; Tulio A Valdez; Chi Zhang; Nicolas Spegazzini; Ramachandra Rao Dasari; Ishan Barman
Journal:  Acc Chem Res       Date:  2017-01-10       Impact factor: 22.384

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Review 9.  Glucose Sensing for Diabetes Monitoring: Recent Developments.

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Journal:  Sensors (Basel)       Date:  2017-08-12       Impact factor: 3.576

10.  Critical-depth Raman spectroscopy enables home-use non-invasive glucose monitoring.

Authors:  Signe M Lundsgaard-Nielsen; Anders Pors; Stefan O Banke; Jan E Henriksen; Dietrich K Hepp; Anders Weber
Journal:  PLoS One       Date:  2018-05-11       Impact factor: 3.240

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Review 5.  Is Raman the best strategy towards the development of non-invasive continuous glucose monitoring devices for diabetes management?

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6.  Direct observation of glucose fingerprint using in vivo Raman spectroscopy.

Authors:  Jeon Woong Kang; Yun Sang Park; Hojun Chang; Woochang Lee; Surya Pratap Singh; Wonjun Choi; Luis H Galindo; Ramachandra R Dasari; Sung Hyun Nam; Jongae Park; Peter T C So
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  6 in total

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