Literature DB >> 22125761

A novel non-imaging optics based Raman spectroscopy device for transdermal blood analyte measurement.

Chae-Ryon Kong1, Ishan Barman, Narahara Chari Dingari, Jeon Woong Kang, Luis Galindo, Ramachandra R Dasari, Michael S Feld.   

Abstract

Due to its high chemical specificity, Raman spectroscopy has been considered to be a promising technique for non-invasive disease diagnosis. However, during Raman excitation, less than one out of a million photons undergo spontaneous Raman scattering and such weakness in Raman scattered light often require highly efficient collection of Raman scattered light for the analysis of biological tissues. We present a novel non-imaging optics based portable Raman spectroscopy instrument designed for enhanced light collection. While the instrument was demonstrated on transdermal blood glucose measurement, it can also be used for detection of other clinically relevant blood analytes such as creatinine, urea and cholesterol, as well as other tissue diagnosis applications. For enhanced light collection, a non-imaging optical element called compound hyperbolic concentrator (CHC) converts the wide angular range of scattered photons (numerical aperture (NA) of 1.0) from the tissue into a limited range of angles accommodated by the acceptance angles of the collection system (e.g., an optical fiber with NA of 0.22). A CHC enables collimation of scattered light directions to within extremely narrow range of angles while also maintaining practical physical dimensions. Such a design allows for the development of a very efficient and compact spectroscopy system for analyzing highly scattering biological tissues. Using the CHC-based portable Raman instrument in a clinical research setting, we demonstrate successful transdermal blood glucose predictions in human subjects undergoing oral glucose tolerance tests.

Entities:  

Year:  2011        PMID: 22125761      PMCID: PMC3217291          DOI: 10.1063/1.3646524

Source DB:  PubMed          Journal:  AIP Adv            Impact factor:   1.548


  23 in total

1.  Optical fiber probe for biomedical Raman spectroscopy.

Authors:  Jason T Motz; Martin Hunter; Luis H Galindo; Joseph A Gardecki; John R Kramer; Ramachandra R Dasari; Michael S Feld
Journal:  Appl Opt       Date:  2004-01-20       Impact factor: 1.980

2.  Detection of morphological markers of vulnerable atherosclerotic plaque using multimodal spectroscopy.

Authors:  Obrad R Sćepanović; Maryann Fitzmaurice; Joseph A Gardecki; George O Angheloiu; Samir Awasthi; Jason T Motz; John R Kramer; Ramachandra R Dasari; Michael S Feld
Journal:  J Biomed Opt       Date:  2006 Mar-Apr       Impact factor: 3.170

3.  A multimodal spectroscopy system for real-time disease diagnosis.

Authors:  Obrad R Sćepanović; Zoya Volynskaya; Chae-Ryon Kong; Luis H Galindo; Ramachandra R Dasari; Michael S Feld
Journal:  Rev Sci Instrum       Date:  2009-04       Impact factor: 1.523

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.  Diagnosis of human coronary atherosclerosis by morphology-based Raman spectroscopy.

Authors:  H P Buschman; J T Motz; G Deinum; T J Römer; M Fitzmaurice; J R Kramer; A van der Laarse; A V Bruschke; M S Feld
Journal:  Cardiovasc Pathol       Date:  2001 Mar-Apr       Impact factor: 2.185

6.  In vivo Raman spectral pathology of human atherosclerosis and vulnerable plaque.

Authors:  Jason T Motz; Maryann Fitzmaurice; Arnold Miller; Saumil J Gandhi; Abigail S Haka; Luis H Galindo; Ramachandra R Dasari; John R Kramer; Michael S Feld
Journal:  J Biomed Opt       Date:  2006 Mar-Apr       Impact factor: 3.170

7.  Comparison of glucose concentration in interstitial fluid, and capillary and venous blood during rapid changes in blood glucose levels.

Authors:  S N Thennadil; J L Rennert; B J Wenzel; K H Hazen; T L Ruchti; M B Block
Journal:  Diabetes Technol Ther       Date:  2001       Impact factor: 6.118

8.  Intrinsic Raman spectroscopy for quantitative biological spectroscopy part II: experimental applications.

Authors:  Kate L Bechtel; Wei-Chuan Shih; Michael S Feld
Journal:  Opt Express       Date:  2008-08-18       Impact factor: 3.894

9.  Turbidity-corrected Raman spectroscopy for blood analyte detection.

Authors:  Ishan Barman; Gajendra P Singh; Ramachandra R Dasari; Michael S Feld
Journal:  Anal Chem       Date:  2009-06-01       Impact factor: 6.986

10.  Diagnostic potential of near-infrared Raman spectroscopy in the stomach: differentiating dysplasia from normal tissue.

Authors:  S K Teh; W Zheng; K Y Ho; M Teh; K G Yeoh; Z Huang
Journal:  Br J Cancer       Date:  2008-01-15       Impact factor: 7.640

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  11 in total

Review 1.  The need for speed.

Authors:  Jeffrey L Suhalim; John C Boik; Bruce J Tromberg; Eric O Potma
Journal:  J Biophotonics       Date:  2012-02-16       Impact factor: 3.207

2.  Efficiency enhancement of Raman spectroscopy at long working distance by parabolic reflector.

Authors:  Yao Tian; Joshua Weiming Su; Jian Ju; Quan Liu
Journal:  Biomed Opt Express       Date:  2017-10-26       Impact factor: 3.732

3.  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

4.  Emerging trends in optical sensing of glycemic markers for diabetes monitoring.

Authors:  Rishikesh Pandey; Narahara Chari Dingari; Nicolas Spegazzini; Ramachandra R Dasari; Gary L Horowitz; Ishan Barman
Journal:  Trends Analyt Chem       Date:  2015-01-01       Impact factor: 12.296

5.  Label-free spectrochemical probe for determination of hemoglobin glycation in clinical blood samples.

Authors:  Rishikesh Pandey; Surya P Singh; Chi Zhang; Gary L Horowitz; Niyom Lue; Luis Galindo; Ramachandra R Dasari; Ishan Barman
Journal:  J Biophotonics       Date:  2018-06-19       Impact factor: 3.207

Review 6.  Clinical instrumentation and applications of Raman spectroscopy.

Authors:  Isaac Pence; Anita Mahadevan-Jansen
Journal:  Chem Soc Rev       Date:  2016-04-07       Impact factor: 54.564

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

Authors:  Surya P Singh; Soumavo Mukherjee; Luis H Galindo; Peter T C So; Ramachandra Rao Dasari; Uzma Zubair Khan; Raghuraman Kannan; Anandhi Upendran; Jeon Woong Kang
Journal:  Anal Bioanal Chem       Date:  2018-07-25       Impact factor: 4.142

8.  Biochemical Data and Metabolic Profiles of Male Exclusive Narghile Smokers (ENSs) Compared With Apparently Healthy Nonsmokers (AHNSs).

Authors:  Yosra Hasni; Sabrine Bachrouch; Mohamed Mahjoub; Amel Maaroufi; Sonia Rouatbi; Helmi Ben Saad
Journal:  Am J Mens Health       Date:  2019 Jan-Feb

9.  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

10.  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
Journal:  Sci Adv       Date:  2020-01-24       Impact factor: 14.136

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