In Vivo Blood Glucose Quantification Using Raman Spectroscopy

PLoS ONE

Volumn 7, Issue 10, 2012, Pages

  Shao, Jingwei ^a   Lin, Manman ^b,c   Li, Yongqing ^d   Li, Xue ^b,c   Liu, Junxian ^c   Liang, Jianpin ^b   Yao, Huilu ^b  

^a FUZHOU UNIVERSITY   (China)

^b NATIONAL ENGINEERING RESEARCH CENTER FOR NON FOOD BIOREFINERY   (China)

^c GUANGXI NORMAL UNIVERSITY   (China)

^d EAST CAROLINA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE; HEMOGLOBIN;

ANIMAL EXPERIMENT; ARTICLE; BLOOD ANALYSIS; BLOOD GLUCOSE METER; CONTROLLED STUDY; CORRELATION COEFFICIENT; GLUCOSE BLOOD LEVEL; GLUCOSE TOLERANCE TEST; IN VIVO STUDY; LASER; MOUSE; NON INVASIVE MEASUREMENT; NONHUMAN; RAMAN SPECTROMETRY; REFERENCE VALUE; SKIN BLOOD VESSEL; STANDARD;

ANIMALS; BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; HEMOGLOBINS; HUMANS; LASERS; MICE; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SKIN; SPECTRUM ANALYSIS, RAMAN; TIME FACTORS;

EID: 84868089023     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0048127     Document Type: Article

References (34)

1. Wild S, Roglic G, Green A, Sicree R, King H, (2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care (27) (): 1047-1053.
2. Davidson MB. (1991)Diabetes Mellitus: Diagnosis and Treatment.3rd ed. New York: Churchill Livingstone.
3. Tamada JA, Garg S, Jovanovic L, Pitzer KR, Fermi S, et al. (1999) Noninvasive glucose monitoring: comprehensive clinical results. JAMA, J. Am. Med. Assoc. 282: 1839-1844.
4. Koschinsky T, Heinemann L, (2001) Sensors for glucose monitoring: technical and clinical aspects. Diabetes Metab. Res. Rev. 17: 113-123.
5. McNichols RJ, Coté GL, (2000) Optical glucose sensing in biological fluids: an overview. J. Biomed. Opt. 5: 5-16.
6. Oliver NS, Toumazou C, Cass AEG, Johnston DG, (2009) Glucose sensors: a review of current and emerging technology. Diabet. Med. 26: 197-210.
7. Heise HM, Marbach R, Janatsch G, Kruse-Jarres JD, (1989) Multivariate determination of glucose in whole blood by attenuated total reflection infrared spectroscopy. Anal. Chem. 61: 2009-2015.
8. Wang SY, Hasty CE, Watson PA, Wicksted JP, Stith RD, et al. (1993) Analysis of metabolites in aqueous solutions by using laser Raman spectroscopy. Appl. Opt. 32: 925-929.
9. Christison GB, MacKenzie HA, (1993) Laser photoacoustic determination of physiological glucose concentrations in human whole blood. Med. Biol. Eng. Comput. 31: 284-290.
10. Quan KM, Christison GB, MacKenzie HA, Hodgson P, (1993) Glucose determination by a pulsed photoacoustic technique: an experimental study using a gelatin-based tissue phantom. Phys. Med. Biol. 38: 1911-1922.
11. Bruulsema JT, Essenpreis M, Heinemann L, Hayward JE, Berger M, et al. (1996) Detection of changes in blood glucose concentration in- vivo with spatially resolved diffuse reflectance. in Conference on Biomedical Optical Spectroscopy and Diagnostics (Optical Society of America).
12. Hori Y, Yasui T, Araki T, (2005) Multiple-scattering-free optical glucose monitoring based on femtosecond pulse interferometry. Opt. Rev. 12: 202-206.
13. Hori Y, Yasui T, Araki T, (2006) Optical glucose monitoring based on femtosecond two-color pulse interferometry. Opt. Rev. 13: 29-33.
14. Esenaliev RO, Larin KV, Larina IV, Motamedi M, (2001) Noninvasive monitoring of glucose concentration with optical coherence tomography. Opt. Lett. 26: 992-994.
15. Larin KV, Ghosn MG, Ivers SN, Tellez A, Granada JF, (2007) Quantification of glucose diffusion in arterial tissues by using optical coherence tomography. Laser Phys. Lett. 4: 312-317.
16. Sapozhnikova VV, Kuranov RV, Cicenaite I, Esenaliev RO, Prough DS, (2008) Effect on blood glucose monitoring of skin pressure exerted by an optical coherence tomography probe. J. Biomed. Opt. 13: 021112.
17. Kinnunen M, Myllylä R, Vainio S, (2008) Detecting glucose-induced changes in in vitro and in vivo experiments with optical coherence tomography. J. Biomed. Opt. 13: 021111.
18. Mansouri S, Schultz JS, (1984) A miniature optical glucose sensor based on affinity binding. Nature Biotechnology 2: 885-890.
19. Russell RJ, Pishko MV, Gefrides CC, McShane M J, CotéG L, (1999) A fluorescence-based glucose biosensor using concanavalin A and dextran encapsulated in a poly(ethylene glycol) hydrogel. Anal. Chem (71): 3126-3132.
20. Sierra JF, Galbam J, DeMarcos S, Castillo JR, (2000) Direct determination of glucose in serum by fluorimetry using a labeled enzyme. Anal. Chim. Acta 414: 33-41.
21. Zalevsky Z, Garcia J. (2007) Motion detection system and method. Israeli Patent Application No.184868.
22. Chuah ZM, Paramesran R, Thambiratnam K, Poh SC, (2010) A two-level partial least squares system for non-invasive blood glucose concentration prediction. Chemometrics and Intelligent Laboratory Systems 104: 347-351.
23. Barman I, Kong CR, Singh GP, Dasari RR, Feld MS, (2010) An accurate spectroscopic calibration for non-invasive glucose monitoring by modeling the physiological glucose dynamics. Anal Chem. 82: 6104-6114.
24. Kasemsumran S, Du YP, Maruoc K, Ozaki Y, (2006) Improvement of partial least squares models for in vitro and in vivo glucose quantifications by using near-infrared spectroscopy and searching combination moving window partial least squares. Chemometrics and Intelligent Laboratory Systems. 82: 97-103.
25. Enejder AM K, Scecina TG, Oh J, Martin H, Shih WC, et al. (2005) Raman spectroscopy for noninvasive glucose measurements. J. Biomed. Opt 10: 031114.
26. Yang X, Zhang AY, Wheeler DA, Tiziana C, Gu BC, et al. (2012) Direct molecule-specific glucose detection by Raman spectroscopy based on photonic crystal fiber. Anal Bioanal Chem 402: 687-691.
27. Lam SCH, Chung JWY, Fan KL, Wong TKS, (2010) Non-invasive blood glucose measurement by near infrared spectroscopy: Machine drift, time drift and physiological effect. Spectroscopy 24: 629-639.
28. Qu JNY, Wilson BC, Suria D, (1999) Concentration measurements of multiple analytes in human sera by near-infrared laser Raman spectroscopy. J. Applied Optics 38: 5491-5498.
29. Rohleder D, Kiefer W, Petrich W, (2004) Quantitative analysis of serum and serum ultrafiltrate by means of Raman spectroscopy. J. Analyst. 129: 906-911.
30. Enejder AMK, Koo TW, Oh J, Hunter M, Sasic S, et al. (2002) Blood analysis by Raman spectroscopy. Optics Letters. 27: 2004-2006.
31. Chaiken J, Finney W, Knudson PE, Weinstock RS, Khan M, et al. (2005) Effect of Hemoglobin Concentration Variation on the Accuracy and Precision of Glucose Analysis Using Tissue Modulated, noninvasive, In Vivo Raman Spectroscopy of Human Blood: a Small Clinical Study. J. Biomed. Opt. 10: 31111.
32. Yao H, Tao Z, Ai M, Peng L, Wang G, et al. (2009) Raman spectroscopic analysis of apoptosis of single human gastric cancer cells. Vibrational Spectroscopy50: 193-197.
33. Lyandres O, Yuen JM, Shah NC, Van DRP, Walsh JT, et al. (2008) Progress Toward an In Vivo Surface-Enhanced Raman Spectroscopy Glucose Sensor. Diabetes Technol Ther 10: 257-265.
34. Alfano RR, Wang WB, Doctore A. (2008) Detection of Glucose Levels Using Excitation and Difference Raman Spectroscopy at the IUSL. City University of New York, New York.