Non-invasive glucose monitoring

Current Opinion in Biotechnology

Volumn 7, Issue 1, 1996, Pages 46-49

  Arnold, Mark A ^a  

^a E11 SSH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE;

ANALYTIC METHOD; BIOREACTOR; BLOOD GLUCOSE MONITORING; FERMENTATION; GLUCOSE BLOOD LEVEL; HUMAN; INFRARED SPECTROSCOPY; MONITORING; NONHUMAN; PRIORITY JOURNAL; SHORT SURVEY;

EID: 0030025192     PISSN: 09581669     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0958-1669(96)80093-0     Document Type: Article

References (22)

1. Diabetes control and complications trial research group: The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med 1993, 329:977-986.
2. Robinson MR, Eaton RP, Haaland DM, Koepp GW, Thomas EV, Stallard BR, Robinson PL: Non-invasive glucose monitoring in diabetic patients: a preliminary evaluation. Clin Chem 1992, 36:1618-1621.
3. Heise HM, Marbach R, Koschinsky TH, Gries FA: Non-invasive blood glucose sensors based on near-infrared spectroscopy. Artif Org 1994, 18:439-447. This paper details results from a non-invasive experiment where near-infrared spectra are collected as diffuse reflectance spectra from the lips of human volunteers. Typical data analysis methods are illustrated and the calibration models are judged on the basis of a 'leave-one-out' type cross-validation scheme.
4. Marbach R, Koschinsky TH, Gries FA, Heise HM: Non-invasive blood glucose assay by near-infrared diffuse reflectance spectroscopy of the human inner lip. Appl Spectrosc 1993, 47:875-881.
5. Heise HM, Marbach R: Effect of data pretreatment on the non-invasive blood glucose measurement by diffuse reflectance NIR spectroscopy. Proc Soc Photoinstrum Eng 1994, 2089:114-115.
6. Jagemann KU, Fischbacher C, Danzer K, Müller UA, Mertes B: Application of near-infrared spectroscopy for non-invasive determination of blood/tissue glucose using neural networks. Z Physik Chem 1995, 191:179-190. A paper similar to [3•], detailing results that pertain to a non-invasive near-infrared experiment in humans. ANNs are used to generate calibration models. The procedures and prediction errors are essentially the same as those in [3•].
7. Marquardt LA, Arnold MA, Small GW: Near infrared spectroscopic measurement of glucose in a protein matrix. Anal Chem 1993, 65:3271-3278.
8. Hazen KH, Arnold MA, Small GW: Temperature insensitive near-infrared spectroscopic measurement of glucose in aqueous solutions. Appl Spectrosc 1994, 48:477-483. Offers a general procedure for reducing the effects of temperature on near-infrared chemical analysis. The temperature sensitivity of the underlying water absorption bands can dramatically impact near-infrared spectra. This paper demonstrates the effectiveness of using digital Fourier filtering to remove baseline variations caused by temperature variations of several degrees.
9. Arnold MA: New developments and clinical impact of non-invasive monitoring. Clinical Laboratory Automation, Robotics and Knowledge Optimization. Edited by Kost GJ. New York: John Wiley and Sons; 1995:531-647.
10. Arnold MA, Small GW: Determination of physiological levels of glucose in an aqueous matrix with digitally filtered Fourier transform near-infrared spectra. Anal Chem 1990, 62:1457-1464.
11. Small GW, Arnold MA, Marquardt LA: Strategies for coupling digital filtering with partial least-squares regression: application to the determination of glucose in plasms by Fourier transform near-infrared spectroscopy. Anal Chem 1993, 65:3279-3289.
12. Haaland DM, Robinson MR, Koepp GW, Thomas EV, Eaton RP: Reagentless near-infrared determination of glucose in whole blood using multivariate calibration. Appl Spectrosc 1992, 46:1575-1578.
13. Janatsch G, Kruse-Jarres JD: Multivariate calibration for assays in clinical chemistry using attenuated total reflection infrared spectra of human blood plasma. Anal Chem 1989, 61:2016-2023.
14. Hall JW, Pollard A: Near-infrared spectroscopic determination of serum total proteins, albumin, globulins, and urea. Clin Biochem 1993, 26:483-490.
15. Peuchant E, Salles C, Jensen R: Determination of serum cholesterol by near-infrared reflectance spectrometry. Anal Chem 1987, 59:1816-1819.
16. Sodickson LA, Block MJ: Kromoscopic analysis: a possible alternative to spectroscopic analysis for non-invasive measurement of analytes in vivo. Clin Chem 1994, 40:1838-1844. This paper describes a novel, and patented (see [P9]), approach to non-invasive glucose sensing based on collecting spectral information from a variety of complementary detector elements. The advantage is the ability to operate each detection under extremely high signal-to-noise ratio conditions. The key issue is the availability of glucose-specific information in the spectral region being probed.
17. Clarke WL, Cox D, Gonder-Frederick LA, Carter W, Pohl SL: Evaluating clinical accuracy of systems for self-monitoring of blood glucose. Diabetes Care 1987, 10:622-627.
18. Chung H, Arnold MA, Rhiel M, Murhammer DW: Simultaneous measurement of glucose and glutamine in aqueous solutions by near infrared spectroscopy. Appl Biochem Biotechnol 1995, 50:109-126.
19. Zhou X, Arnold MA, Chung H, Rhiel M, Murhammer DW: Selective measurement of glutamine and asparagine in aqueous media by near infrared spectroscopy. In Biosensor and Chemical Sensor Technology: Process Monitoring and Control. Edited by Rogers KR, Mulchandani A, Zhou W. Washington, DC: American Chemical Society; 1995:116-132.
20. Vaccari G, Dosi E, Campi AL, González-Vara YR, Matteuzzi D, Mantovani G: A near-infrared spectroscopy technique for the control of fermentation processes: an application to lactic add fermentation. Biotechnol Bioeng 1994, 49:913-917.
21. Tenhunen J, Sjöholm K, Pietilä K, Home S: Determination of fermentable sugars and nitrogenous compounds In wort by near and mid infrared spectroscopy. J Inst Brew 1994, 100:11-15.
22. Chung H, Arnold MA, Rhiel M, Murhammer DW: Simultaneous measurements of glucose, glutamine, ammonia, lactate and glutamate in aqueous solutions by near-infrared spectroscopy. Appl Spectrosc 1996, in press. The simultaneous measurement of five components in aqueous solutions is demonstrated. Near-infrared spectra are collected from a series of solutions composed of varying levels of glucose, glutamine, glutamate, lactate and ammonia-nitrogen. Multivariate calibration models are generated for each analyte and the ability of each model to accurately predict analyte concentrations from an independent set of prediction spectra is illustrated. Critical issues of spectral range and co-variance between analyte species are dis