A device for continuous in vivo monitoring of glucose concentration in people with diabetes has been a clinical and research priority for many years but now has an urgency which is probably unquestioned in diabetes care. The purpose of this article is to explain recent advances in technology that are bringing glucose sensors closer to routine use and to highlight some of the remaining problems. Important new technologies include artificial receptors for glucose, tissue fluid sampling techniques, and new approaches to non-invasive sensing, such as fluorescence lifetime measurements.
This is a selective overview that concentrates on research of the past five years, which we have assembled largely through personal experience and research in the specialty and from recent international workshops and meetings.
Summary points
One of the main reasons for developingin vivo glucose sensors is the detection of hypoglycaemia in people with insulin dependent (type 1) diabetes
Until recently, research and development largely focused on needle-type glucose sensors (enzyme electrodes) implanted in the subcutaneous tissue. Problems of calibration and drift have delayed clinical application, but one device for trend monitoring is now being commercialised and is entering practice
Several new approaches will accelerate development of in vivo glucose sensors, including totally implanted sensors with more robust artificial glucose receptors. These might be interrogated from outside the body by measurement of changes in near infrared fluorescence intensity or decay lifetime
Tissue fluid sampling and extraction techniques—such as microdialysis and reverse iontophoresis—enable glucose to be measured outside the body under more controlled conditions but need further development
Non-invasive glucose sensing will maximise acceptance by patients and overcome biocompatibility problems of implants. Near infrared spectroscopy has been most investigated but the precision needs to be improved for eventual clinical application
The need for in vivo glucose monitoring
The main reason for developing in vivo glucose sensors is for the detection of hypoglycaemia in diabetes. Patients with insulin dependent (type 1) diabetes have always feared low blood glucose concentrations,1 especially during the night, when self monitoring of blood glucose concentration with finger prick methods cannot be performed, and those without warning symptoms (hypoglycaemia unawareness) are especially vulnerable.2 But automatic hypoglycaemia detection has become a major goal for glucose sensing research since it became clear that strict blood glucose control is usually accompanied by a clearly increased frequency of hypoglycaemia.3 It is simply very difficult indeed to achieve and maintain near normoglycaemia in people with type 1 diabetes without incurring the penalty of potentially dangerous low blood glucose concentrations.
One example of the major clinical benefit of hypoglycaemia detection with an implantable glucose sensor can be seen by studies that have shown that falls in tissue concentrations of glucose (measured by a sensor) often precedes the fall in blood glucose and may act as an early warning to the patient of impending hypoglycaemia.4
The notion that an in vivo glucose sensor might be coupled via a computer to a portable insulin infusion pump to create an artificial endocrine pancreas controlled by feedback is appealing, of course. Indeed, a glucose sensor is a prerequisite for a totally implantable artificial pancreas5 but such systems have been put to one side for the moment as an ambition for routine management. Safe delivery of insulin in this way will require glucose sensors that have proved totally reliable after many years of “open loop” testing. We are far from being at or near that stage.
Implanted sensors and their problems
At first sight the task seems simple enough. A well established laboratory chemistry technique for measuring glucose concentration can be immobilised on a probe that is implanted in the tissues (say, subcutaneously), with the signal relayed to a meter outside the body by wire, fibre optic, or telemetry. Reagentless probes or “biosensors” for measuring glucose in vitro were first described in the 1960s6 and glucose sensors first tested in vivo in animals the early 1970s.7 Biosensors were indeed among the most promoted technologies of the 1980s, with the expectation of numerous applications in clinical analysis.8
The most studied glucose sensors are of the type called “amperometric enzyme electrodes” (fig 1), in which the enzyme glucose oxidase is immobilised at a charged electrode and glucose concentrations monitored by the change in current flow caused by the enzyme catalysed production of hydrogen peroxide9–11 or, less often, by the consumption of oxygen.12 A modification of enzyme electrode technology is now well established in some commercial devices for self monitoring of finger prick samples for blood glucose concentration (for example, MediSense) and has been applied to in vivo sensing.13
Figure 1.
Typical construction of enzyme electrode for glucose sensing. Glucose oxidase is immobilised at platinum anode. Inner membrane—such as cellulose acetate—filters interfering substances, and outer membrane—such as polyurethane—controls diffusion of glucose and improves biocompatibility. Hydrogen peroxide produced by glucose oxidation is detected electrochemically
Usually the sensor is configured as a fine needle or flexible wire, with the active sensing element at or near the tip, and implanted in the subcutaneous tissue. Such sensors are regarded as “minimally invasive” and their subcutaneous implantation avoids the problems of septicaemia, fouling with blood clot, and embolism, which are potentially associated with intravascular placement.
There were initially encouraging test results with needle type sensors over a few days in animals and humans,9,13–16but clinical development has been slow. A device based on this technology (MiniMed) has recently received approval as a trend monitor to supplement finger prick blood glucose measurements; there is as yet no direct readout of blood glucose by the patient but playback of data after 72 hours via a computer for review by a physician. Why has progress been difficult with this technology? The glucose concentration in the subcutaneous interstitial fluid recorded from implanted sensors9–16 or measured by another technique such as microdialysis17 is indeed proportional to the blood glucose concentration under most circumstances, and some sensors give excellent estimates of glycaemia for up to a week or so in both animals and humans. But the sensor output in vivo is suppressed by a variable amount compared with the in vitro signal at the same glucose concentration,18,19 thus requiring careful calibration procedures, and, importantly, the output can drift unpredictably.14,15The basis of these erratic responses is unclear and has prevented rational modifications of sensors. The present evidence favours a reversible coating of the implanted sensor or the diffusion into the sensor of low molecular weight inhibitors of the sensing mechanism (which can be washed off after explantation), but the chemical nature of the interference is unknown.
New strategies for improving implanted glucose sensors
Industrial mass production techniques ensure reproducibility of sensor construction and functionality, and, in addition, other approaches are being used to improve the performance of subcutaneous glucose sensors.
Microperfusion
This aims to control the microenvironment at the sensing site by using slow, open flow perfusion of isotonic buffer over the tip of the electrode.20 The thin, mobile aqueous film may provide a protective barrier, wash away inhibiting molecules or cells, or hydrate the tissues.
Totally implanted sensors
Part of the rationale behind totally implanted sensors is that short term, transcutaneous implantation of needle-type sensors induces a wound response with acute inflammation, changing protein, fluid, and cellular accumulation, and thus resulting in variable concentrations of glucose and oxygen. This may contribute to the instability of these sensors. In contrast, long term implantation induces an encapsulating foreign body response, and there is some evidence that this may be a more stable sensing environment. Glucose sensors totally implanted in the subcutaneous tissue of dogs were inactive for the first few days, unstable for the next 7-14 days, and then became relatively stable for the subsequent several weeks, though still not sufficiently so for clinical use.21
Abiotic glucose receptors
Artificial alternatives to enzymes as glucose recognition molecules are being sought because they may not be affected by in vivo interferences and may be more robust for long term implantation. One of the most promising techniques for creating artificial receptors is called “molecular imprinting” or “plastic antibodies” (fig 2).22 Here, monomers that have chemical groups that interact with a template molecule related to the analyte are polymerised around the template, the template is then removed, leaving a polymer that is specific in shape and binding capacity for the analyte. An example for glucose sensing uses the interaction at alkaline pH between a metal ion complex and glucose, which releases hydrogen ions on glucose binding.23 A porous polymer specific for glucose has been made whereby glucose concentration can be measured by titratable release of protons.
Figure 2.
Principle of molecular imprinting for generating artificial glucose receptors. Monomers have groups that interact with analogue of analyte (glucose). This acts as template during polymerisation. Removal of template leaves robust polymer that binds analyte of interest
Fluorescence technologies
Another approach to artificial glucose receptors uses fluorescent molecules—such as the compound produced by the coupling of the fluorescent dye, anthracene, to boronic acid, which covalently but reversibly binds to two of the hydoxyl groups on glucose.24 With this receptor, a change in fluorescence intensity occurs on glucose binding.
Fluorescence measurements are particularly well suited to totally implanted sensors because dyes might be used that can be excited and emit light in the near infrared region of the light spectrum, and as infrared light passes through several centimetres of tissue, such probes can be inserted in the subcutaneous tissue and both activated and interrogated from outside the body. Techniques for measurement of fluorescence decay lifetimes with pulsed light sources have several advantages for in vivo sensing over the more usual measurements of fluorescence intensity, including easier calibration because the lifetime is not notably affected by changing concentrations of the fluorescent label or by photobleaching or light scattering in the tissues. Extremely sensitive techniques (such as time correlated, single photon counting) exist for monitoring fluorescence lifetime changes.25
An example of a useful fluorescence technique is “fluorescence resonance energy transfer” (FRET), which relies on the transfer of excitation energy from one fluorescent molecule (the donor) to another nearby molecule (the acceptor) that has overlapping spectral properties. Changes in fluorescence intensity or lifetime are reporters of the changing distance between the donor and acceptor (for example, receptor and ligand; fig 3). Model FRET schemes have been described for glucose sensing in vitro with the glucose binding lectin concanavalin A coupled to near infrared fluorescent molecules.26,27
Figure 3.
Glucose assay with fluorescence resonance energy transfer (FRET) technology. Concanavalin A (Con A) competitively binds glucose and sugar polymer, dextran. FRET occurs between Con A labelled with fluorophore donor (D) and dextran labelled with an acceptor (A). Displacement of dextran by glucose reduces FRET and increases fluorescence intensity and lifetime. Use of near infrared dyes allows excitation and fluorescence recording from outside body (NIR=near infrared fluorescence)
Conformation change in a protein on binding substances can also be sensed when the label is an environmentally sensitive fluorophore (fig 4). Molecular engineering techniques are being used in this respect for the rational adaptation of proteins to produce new molecules with modified functions more suited to sensing. For example, environmentally sensitive fluorescent groups have been incorporated into allosteric proteins such as the glucose binding protein from Escherichia coli.28 This protein undergoes a large conformational change on glucose binding that can be transduced into a change in fluorescence in the engineered protein.
Figure 4.
Glucose assay with protein labelled with environmentally sensitive fluorophore (F). Glucose binding alters protein conformation and changes fluorescence (increase or decrease, depending on specific fluorophore)
Tissue sampling
A possible way of overcoming the biocompatibility problems of implanted sensors entails transport of tissue fluid outside the body for more controlled assay. Microdialysis is the most popular and has undergone considerable testing over a few days in humans.29–31 A probe containing a hollow dialysis fibre is inserted in the subcutaneous tissue and perfused at a slow rate with isotonic fluid so that glucose diffuses into the fibre and is pumped outside the body for online assay—for example, by an enzyme electrode. By perfusing the fibre at a high and low rate with glucose solution and comparing the glucose concentration in the emerging dialysate, the absolute tissue glucose concentration can be calculated, compensated for system drift.32
“Reverse iontophoresis” is another sampling technology in which transdermal extraction of interstitial fluid is achieved by applying current to two electrodes mounted on the skin surface.33,34 Glucose is carried to the surface by electro-osmotic flow of water. Possible problems are the time it takes to collect sufficient fluid for analysis (15-20 minutes), the low glucose concentrations in the extracted fluid (about 1/1000 of those in blood), variable flux of glucose across the skin, and the effects of prolonged use at one skin site; but considerable research and development is under way aimed at commercialisation as a watch-type device with integral electrochemical determination of extracted glucose (Cygnus Inc).
Completely non-invasive glucose sensing
There is no doubt that acceptance by patients will be at an optimum and bioincompatibility problems overcome by completely non-invasive approaches to glucose sensing.35
Near infrared spectroscopy
This is the most studied non-invasive technology.36,37 Between about 600 and 1300 nm there is a so called “optical window” in tissues that are transparent to light in this spectral region. Absorption readings can be made by transmission or reflectance through or at tissues such as the finger tip37 or oral mucosal surface.38,39 The glucose absorption peaks are small but with readings at several wavelengths for many known glucose concentrations, complex multivariate techniques produce calibration models with good correlations between reference blood glucose and predicted glucose concentrations, both in vitro and in vivo. The precision, however, is presently not good enough to use this technology clinically. There may be many reasons for this, including unpredictable spectral variations that are not related to glucose but to factors such as tissue hydration, blood flow, temperature, light scattering (and thus the optical pathlength), overlapping absorption by non-glucose metabolites and a particularly strong absorption by water in the near infrared region, and movement artefact caused by changes in the alignment of the instrumentation. Research is now focused on understanding these variables in more detail.
Light scattering
An alternative non-invasive glucose sensing technology uses changes in light scattering in the tissues40,41 and is based on the dependence of scattering in turbid suspensions on the ratio of the refractive indices of the particles (cells, membranes, fibrils, etc, in the case of tissue) to the solution (plasma, interstitial fluid) in which they are suspended. The increase in refractive index of the plasma and interstitial fluid as glucose concentration increases lowers the scattering coefficient by about 1% for each 5 mmol/l change—that is, the tissue becomes slightly more transparent. Substantial variations, however, are observed in the magnitude of the scattering change for a given glucose change within and between individuals.41 Much the same influences of temperature, tissue hydration, and probe alignment may apply here as do for near infrared spectroscopy, making immediate clinical application difficult.
Photoacoustic spectroscopy
This is less investigated. Pulsed infrared light is absorbed by molecules such as glucose and leads to thermal expansion and the generation of an ultrasound wave that is detectable at the skin surface by a piezoelectric microphone.42 Encouraging results have been obtained in blood samples and in vivoin a small number of diabetic and non-diabetic people,43 but results of extended clinical studies are awaited.
Some minimally invasive and non-invasive sensors for in vivo glucose monitoring in diabetes
Transcutaneous needle-type enzyme electrodes
Totally implanted sensors
Enzyme electrodes
Near infrared fluorescence based
Sampling technologies
Microdialysis
Reverse iontophoresis
Non-invasive technologies
Near infrared spectroscopy
Light scattering
Photoacoustic spectroscopy
Conclusion
Problems with minimally invasive transcutaneous sensors have encouraged research on methods for tissue sampling and non-invasive technologies. These last range from totally implanted sensors that can be interrogated from outside the body—for example, by measuring fluorescence changes—to optical techniques for complete non-invasive monitoring. It is unlikely that only one technology for glucose sensing will be in use by the next generation of diabetic patients; more probably a range of devices will find clinical application, including transcutaneous implants used for a day or so at a time—the first in vivo glucose sensors to be commercialised, totally implanted sensors for long term use in selected people, and, perhaps the last to enter clinical practice but the most sought after, completely non-invasive glucose monitors.
Footnotes
Funding: Engineering and Physical Sciences Research Council.
Competing interests: None declared.
References
- 1.Pramming S, Thorsteinsson B, Bendtson I, Binder C. Symptomatic hypoglycaemia in 411 type 1 diabetic patients. Diabet Med. 1991;8:217–222. doi: 10.1111/j.1464-5491.1991.tb01575.x. [DOI] [PubMed] [Google Scholar]
- 2.Gold AE, MacLeod KM, Frier BM. Frequency of severe hypoglycemia in patients with type 1 diabetes with impaired awareness of hypoglycemia. Diabetes Care. 1994;17:697–703. doi: 10.2337/diacare.17.7.697. [DOI] [PubMed] [Google Scholar]
- 3.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. doi: 10.1056/NEJM199309303291401. [DOI] [PubMed] [Google Scholar]
- 4.Sternberg F, Meyerhoff C, Mennel FJ, Mayer H, Bischof F, Pfeiffer EF. Does fall in tissue glucose precede fall in blood glucose? Diabetologia. 1996;39:609–612. doi: 10.1007/BF00403309. [DOI] [PubMed] [Google Scholar]
- 5.Charles MA. Programmable implantable insulin infusion devices and diabetes care. Diab Tech Therapeut. 1999;1:89–96. doi: 10.1089/152091599317639. [DOI] [PubMed] [Google Scholar]
- 6.Updike SJ, Hicks GP. The enzyme electrode. Nature. 1967;214:986–988. doi: 10.1038/214986a0. [DOI] [PubMed] [Google Scholar]
- 7.Chang KW, Alsenberg S, Soeldner JS, Hiebert JM. Validation and bioengineering aspects of an implantable glucose sensor. Trans Am Soc Artificial Intern Organs. 1973;19:352–360. doi: 10.1097/00002480-197301900-00060. [DOI] [PubMed] [Google Scholar]
- 8.Turner APF, Karubi I, Wilson GS, editors. Biosensors: fundamentals and applications. Oxford: Oxford University Press; 1987. [Google Scholar]
- 9.Shichiri M, Kawamori R, Yamasaki T, Hakui N, Abe H. Wearable-type artificial pancreas with needle-type glucose sensor. Lancet. 1982;ii:1129–1131. doi: 10.1016/s0140-6736(82)92788-x. [DOI] [PubMed] [Google Scholar]
- 10.Abel P, Muller A, Fischer U. Experience with an implantable glucose sensor as a prerequisite for an artificial beta cell. Biomed Biochim Acta. 1984;5:577–584. [PubMed] [Google Scholar]
- 11.Bindra DS, Zhang Y, Wilson GW, Sternberg R, Thèvenot DR, Moatti D, et al. Design and in vitro studies of a needle-type glucose sensor for subcutaneous monitoring. Anal Chem. 1991;63:1692–1696. doi: 10.1021/ac00017a008. [DOI] [PubMed] [Google Scholar]
- 12.Armour JC, Lucisano JY, McKean BD, Gough DA. Application of chronic intravascular blood glucose sensor in dogs. Diabetes. 1990;39:1519–1526. doi: 10.2337/diab.39.12.1519. [DOI] [PubMed] [Google Scholar]
- 13.Pickup JC, Shaw GW, Claremont DJ. In vivo molecular sensing in diabetes mellitus: an implantable glucose sensor with direct electron transfer. Diabetologia. 1989;32:213–217. doi: 10.1007/BF00265097. [DOI] [PubMed] [Google Scholar]
- 14.Moatti-Sirat D, Capron F, Poitout V, Reach G, Bindra DS, Zhang Y, et al. Towards continuous glucose monitoring: in vivo evaluation of a miniaturised glucose sensor implanted for several days in rat subcutaneous tissue. Diabetologia. 1992;35:224–230. doi: 10.1007/BF00400921. [DOI] [PubMed] [Google Scholar]
- 15.Rebrin K, Fischer U, Hahn von Dorsche H, von Woedtke T, Abel P, Brunstein E. Subcutaneous glucose monitoring by means of electrochemical sensors: fiction or reality? J Biomed Eng. 1992;4:33–40. doi: 10.1016/0141-5425(92)90033-h. [DOI] [PubMed] [Google Scholar]
- 16.Claremont DJ, Sambrook IE, Penton C, Pickup JC. Subcutaneous implantation of a ferrocene-mediated glucose sensor in pigs. Diabetologia. 1986;29:817–821. doi: 10.1007/BF00873223. [DOI] [PubMed] [Google Scholar]
- 17.Jansson PA, Fowelin J, Smith U, Lonroth P. Characterization by microdialysis of intercellular glucose levels in subcutaneous tissue in humans. Am J Physiol. 1988;255:E218–E220. doi: 10.1152/ajpendo.1988.255.2.E218. [DOI] [PubMed] [Google Scholar]
- 18.Pickup JC, Claremont DJ, Shaw GW. Responses and calibration of amperometric glucose sensors implanted in the subcutaneous tissue of man. Acta Diabetol. 1993;30:143–148. doi: 10.1007/BF00572858. [DOI] [PubMed] [Google Scholar]
- 19.Thomè-Duret V, Gangnerau MN, Zhang Y, Wilson GS, Reach G. Modification of the sensitivity of glucose sensor implanted into subcutaneous tissue. Diabet Metab. 1996;22:74–78. [PubMed] [Google Scholar]
- 20.Rigby GP, Crump PW, Vadgama PJ. Stabilised needle electrode system for in vivo glucose monitoring based on open flow microperfusion. Analyst. 1996;121:871–875. doi: 10.1039/an9962100871. [DOI] [PubMed] [Google Scholar]
- 21.Gilligan BJ, Shults MC, Rhodes RK, Updike SJ. Evaluation of a subcutaneous glucose sensor out to 3 months in a dog model. Diabetes Care. 1994;17:882–887. doi: 10.2337/diacare.17.8.882. [DOI] [PubMed] [Google Scholar]
- 22.Haupt K, Mosbach K. Plastic antibodies: developments and applications. Trends Biotechnol. 1998;16:468–475. doi: 10.1016/s0167-7799(98)01222-0. [DOI] [PubMed] [Google Scholar]
- 23.Chen G, Guan Z, Chen C-T, Fu L, Sundaresan V, Arnold F. A glucose sensing polymer. Nature Biotechnol. 1997;15:354–357. doi: 10.1038/nbt0497-354. [DOI] [PubMed] [Google Scholar]
- 24.James TD, Sananayake KRAS, Shinkai S. A glucose-selective molecular fluorescence sensor. Angewandte Chemie International Edition in English. 1994;33:2207–2209. [Google Scholar]
- 25.Birch DJS, Imhof RE. Time-domain fluorescence spectroscopy using time-correlated single-photon counting. Topics in Fluorescence Spectroscopy. 1994;1:1–95. [Google Scholar]
- 26.Tolosa L, Szmacinski H, Rao G, Lakowicz JR. Lifetime-based sensing of glucose using energy transfer with a long-lifetime donor. Anal Biochem. 1997;250:102–108. doi: 10.1006/abio.1997.2180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Rolinski OJ, Birch DJS, McCartney LJ, Pickup JC. Near-infrared assay for glucose determination. Soc Photo-optical Instrumentation Engineers Proc. 1999;3602:6–14. [Google Scholar]
- 28.Marvin JS, Hellinga HW. Engineering biosensors by introducing fluorescent allosteric signal transducers: construction of a novel glucose sensor. J Am Chem Soc. 1998;120:7–11. [Google Scholar]
- 29.Bolinder J, Ungerstedt U, Arner P. Microdialysis measurement of the absolute glucose concentration in subcutaneous adipose tissue allowing glucose monitoring in diabetic patients. Diabetologia. 1992;35:1177–1180. doi: 10.1007/BF00401374. [DOI] [PubMed] [Google Scholar]
- 30.Meyerhof C, Bischof F, Sternberg F, Zier H, Pfeiffer EF. On line continuous monitoring of subcutaneous tissue glucose in men by combining portable glucosensor with microdialysis. Diabetologia. 1992;35:1087–1092. doi: 10.1007/BF02221686. [DOI] [PubMed] [Google Scholar]
- 31.Hashiguchi Y, Sakakida M, Nishida K, Uemura T, Kajiwara K-I, Shichiri M. Development of a miniaturised glucose monitoring system by combining a needle-type glucose sensor with microdialysis sampling method. Diabetes Care. 1994;17:387–396. doi: 10.2337/diacare.17.5.387. [DOI] [PubMed] [Google Scholar]
- 32.Hoss U, Gessler R, Kalatz B, Salgado MI, Sternberg F, Fussganger R. Calibration-free continuous on-line glucose monitoring: the comparative microdialysis technique. Diabetologia. 1998;41(suppl 1):45A. [Google Scholar]
- 33.Tamada JA, Bohannon NJV, Potts RO. Measurement of glucose in diabetic subjects using noninvasive glucose extraction. Nature Med. 1995;1:1198–1201. doi: 10.1038/nm1195-1198. [DOI] [PubMed] [Google Scholar]
- 34.Tamada J, Tierney M, Brenner B, et al. In vivo studies of a non-invasive glucose monitor in subjects with diabetes. Diabetes. 1998;47(suppl 1):62A. [Google Scholar]
- 35.Klonoff DC. Noninvasive blood glucose monitoring. Clin Diabetes. 1998;16:43–45. [Google Scholar]
- 36.Arnold MA. Non-invasive glucose monitoring. Curr Opin Biotechnol. 1996;7:46–49. doi: 10.1016/s0958-1669(96)80093-0. [DOI] [PubMed] [Google Scholar]
- 37.Robinson MR, Eaton RP, Haaland DM, Koepp GW, Thomas EV, Stallard BR, et al. Non-invasive glucose monitoring in diabetic patients: a preliminary evaluation. Clin Chem. 1992;38:1618–1622. [PubMed] [Google Scholar]
- 38.Marbach R, Koschinski T, Gries FA, Heise HM. Non-invasive blood glucose assay by near-infrared diffuse reflectance spectroscopy of the human lip. Applied Spectroscopy. 1993;47:875–881. [Google Scholar]
- 39.Kajiwara K, Uemura T, Kishikawa H, Nishida K, Hashiguchi Y, Uehara M, et al. Non-invasive measurement of blood glucose concentrations by analysing Fourier transform infra-red absorbance spectra through oral mucosa. Med Biol Eng Comput. 1993;31:S17–S22. doi: 10.1007/BF02446645. [DOI] [PubMed] [Google Scholar]
- 40.Maier JS, Walker SA, Fantini S, Franceschini MA, Gratton E. Possible correlation between blood glucose concentration and the reduced light scattering coefficient of tissues in the near infrared. Optics Lett. 1994;19:2062–2064. doi: 10.1364/ol.19.002062. [DOI] [PubMed] [Google Scholar]
- 41.Heinemann L, Schmelzeise Redeker G. Non-invasive continuous glucose monitoring in type 1 diabetic patients with optical glucose sensors. Diabetologia. 1998;41:848–854. doi: 10.1007/s001250050998. [DOI] [PubMed] [Google Scholar]
- 42.Christison GB, MacKenzie HA. Laser photoacoustic determination of physiological glucose concentrations in human blood. Med Biol Comput. 1993;31:284–290. doi: 10.1007/BF02458048. [DOI] [PubMed] [Google Scholar]
- 43.MacKenzie HA, Ashton HS, Shen YC, Lindberg J, Rae P, Quan KM, et al. Blood glucose measurements by photoacoustics. Biomed Optical Spectroscopy Diagnostics. 1998;22:156–159. [Google Scholar]




