Biosensors and Bioelectronics 20 (2005) 2555–2565 Review Fluorescence-based glucose sensors John C. Pickupa,∗ , Faeiza Hussaina , Nicholas D. Evansa , Olaf J. Rolinskib , David J.S. Birchb a Department of Chemical Pathology, Guy’s, King’s and St Thomas’s School of Medicine, Guy’s Hospital, London SE1 9RT, UK b Department of Physics, University of Strathclyde, Glasgow G4 0NG, UK Received 3 August 2004; received in revised form 6 October 2004; accepted 6 October 2004 Available online 21 November 2004 Abstract There is an urgent need to develop technology for continuous in vivo glucose monitoring in subjects with diabetes mellitus. Problems with existing devices based on electrochemistry have encouraged alternative approaches to glucose sensing in recent years, and those based on fluorescence intensity and lifetime have special advantages, including sensitivity and the potential for non-invasive measurement when nearinfrared light is used. Several receptors have been employed to detect glucose in fluorescence sensors, and these include the lectin concanavalin A (Con A), enzymes such as glucose oxidase, glucose dehydrogenase and hexokinase/glucokinase, bacterial glucose-binding protein, and boronic acid derivatives (which bind the diols of sugars). Techniques include measuring changes in fluorescence resonance energy transfer (FRET) between a fluorescent donor and an acceptor either within a protein which undergoes glucose-induced changes in conformation or because of competitive displacement; measurement of glucose-induced changes in intrinsic fluorescence of enzymes (e.g. due to tryptophan residues in hexokinase) or extrinsic fluorophores (e.g. using environmentally sensitive fluorophores to signal protein conformation). Noninvasive glucose monitoring can be accomplished by measurement of cell autofluorescence due to NAD(P)H, and fluorescent markers of mitochondrial metabolism can signal changes in extracellular glucose concentration. Here we review the principles of operation, context and current status of the various approaches to fluorescence-based glucose sensing. © 2004 Elsevier B.V. All rights reserved. Keywords: Diabetes mellitus; Biosensor; Glucose monitoring; Glucose sensor; Fluorescence; Non-invasive monitoring; Fluorescence resonance energy transfer Contents 1. Introduction: diabetes and glucose sensing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2556 2. Why fluorescence? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2556 3. Fluorescence-based glucose sensors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.1. Concanavalin A (Con A) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.2. Glucose oxidase and glucose dehydrogenase . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.3. Hexokinase/glucokinase . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.4. Bacterial glucose-binding protein . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.5. Boronic acid derivatives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2557 2557 2558 2559 2560 2561 4. Tissue fluorescence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.1. Intrinsic fluorescence of cells . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.2. Fluorescent mitochondrial markers as indicators of glucose concentration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2562 2562 2562 ∗ Corresponding author. Tel.: +44 20 7188 3859; fax: +44 20 7955 2958. E-mail address: [email protected] (J.C. Pickup). 0956-5663/$ – see front matter © 2004 Elsevier B.V. All rights reserved. doi:10.1016/j.bios.2004.10.002 2556 J.C. Pickup et al. / Biosensors and Bioelectronics 20 (2005) 2555–2565 Imaging of cell glucose with bacterial binding proteins . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Possible future technologies for fluorescence-based glucose sensing: quantum dots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2563 2563 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2563 Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2564 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2564 4.3. 4.4. 5. 1. Introduction: diabetes and glucose sensing There is now good evidence that the chronic complications of diabetes are related to the duration and severity of hyperglycaemia (Diabetes Control and Complications Trial Research Group, 1993; UK Prospective Diabetes Study Group, 1998). However, good diabetic control is very difficult to achieve in many diabetic patients and frequent blood glucose testing is needed to detect hyper- and hypoglycaemia, and to adjust treatment to correct these deviations and maintain long-term near-normoglycaemia. Hypoglycaemia is incapacitating, potentially fatal and one of the diabetic subject’s greatest fears (Heller, 2003). Those patients who have lost their warning symptoms of hypoglycaemia rely entirely on blood glucose monitoring to detect low blood glucose levels. The current method of blood glucose self-monitoring is for patients to obtain finger-prick sample of capillary blood several times daily and to apply this blood to a reagent strip and portable meter for measurement. Such intermittent testing is unpopular because of the dislike of multiple sampling with a lancet, and has the disadvantage of not being possible during the night or whilst driving a car, and of missing episodes or hyper- or hypoglycaemia which do not occur at the time of sampling (Pickup et al., in press). The most investigated technology for in vivo glucose monitoring is based on implanted amperometric enzyme electrodes and a device is commercially available and used in clinical practice (Mastrototaro, 2000; Sachedina and Pickup, 2003). Although there are significant benefits already apparent from the use of such sensors, several difficulties remain, particularly impaired responses and unpredictable drift in the signal in vivo which necessitate frequent calibration against finger-prick samples. Another available technology for glucose sensing in diabetes, reverse iontophoresis (Tamada et al., 1999; Garg et al., 1999), also has special problems such as skin irritation and inaccuracies, which have restricted its widespread uptake into diabetes management (Pickup, 2004). Thus, new approaches to glucose sensing in diabetes are been actively explored. Amongst these, fluorescence-based systems are receiving increasing attention (McShane, 2002), encouraged by the special advantages of fluorescence for biological analysis. 2. Why fluorescence? The advantages of molecular fluorescence for biosensing include the following: • The technique is extremely sensitive. There are increasing examples of even single-molecule detection using fluorescence methods (Weiss, 1999). • Fluorescence measurements cause little or no damage to the host system. In addition, since near-infrared light passes through several centimetres of tissue, with the appropriate choice of fluorophore, molecules can in theory be excited and the emission interrogated from outside the body (Lakowicz, 1994; Pickup et al., in press), thus providing the potential for completely non-invasive sensing. • Measurements can be made of not only fluorescence intensity but also fluorescence decay times. Time-resolved fluorescence (Lakowicz, 1994) has the special advantages for in vivo sensing of being relatively independent of light scattering in the tissues and of fluorophore concentration, thus correcting for photobleaching or fluorophore loss through diffusion or degradation. The two main methods for measuring fluorescence lifetime are time-domain techniques such as time-correlated single-photon counting (Birch and Imhof, 1991) where a pulsed light excites the sample at high repetition rate and the lifetime of photons are counted, or phase-modulation methods where the sample is excited with amplitude-modulated light and the lifetime extracted from the phase angle delay (Lakowicz, 1994, 1999). • Special fluorescence techniques can provide information about the structure and micro-environment of molecules, and how these change in response to analyte variations in health and disease. For example, polarity-sensitive fluorophores linked to proteins can be quenched as the conformation changes and exposes the dye to solvent—e.g. acrylodan covalently attached to bacterial glucose-binding protein suffers a decrease in fluorescence on addition of glucose, signalling the known glucose-induced conformational change in this protein (see below, Ge et al., 2004). • The structure and distribution of biomolecules can also be probed by the phenomenon of fluorescence (or Förster) resonance energy transfer (FRET) (Selvin, 1995; Lakowicz, 1999). This involves the nonradiative (i.e. no photons are passed) energy transfer from a fluorescent donor molecule to an acceptor molecule in close proximity J.C. Pickup et al. / Biosensors and Bioelectronics 20 (2005) 2555–2565 (which need not be fluorescent), and is usually brought about by dipole–dipole interactions. The signal in FRET is a decrease in fluorescence intensity and lifetime of the donor. For dipole–dipole interactions, the rate of energy transfer is inversely proportional to R6 , where R is the distance between the donor and acceptor. Thus, FRET is an exceptionally sensitive, Angstrom-level measure of changes in molecular distances, e.g. within a molecule as the tertiary structure alters on binding a ligand, or between molecules as a ligand displaces a labelled analogue from a labelled receptor (see below). In choosing donor–acceptor pairs it is a prerequisite that the fluorescence emission of the donor overlaps with the absorption/excitation spectrum of the acceptor. 3. Fluorescence-based glucose sensors A convenient way of classifying glucose sensors that involve measurements of fluorescence is either according to the type of molecular receptor for glucose, or whether cells or tissues are used to signal glucose concentrations and/or glucose metabolism. 3.1. Concanavalin A (Con A) Concanavalin A is a plant lectin, extracted from the jack bean, which has four binding sites for glucose per molecule of the protein (Reeke et al., 1975). Con A sensors are based on the competitive binding to the lectin of either glucose or a labelled carbohydrate derivative such as dextran, mannoside or glycated protein. Early studies by Mansouri and Schultz (1984) described an ‘affinity’ glucose sensor in which Con A was immobilized to the inner wall of a fine, hollow dialysis fibre connected to a fluorimetry system by a single optical fibre. High-molecular-weight dextran, labelled with fluorescein isothiocyanate (FITC), was the competing ligand in the fibre, so that glucose entering from the external medium displaced dextran from Con A and increased the fluorescence intensity in the lumen. This concept was later adapted by the same laboratory (Meadows and Schultz, 1988) so that measurements were based on FRET, with FITC-dextran as the donor and rhodamine-Con A as the acceptor, both within a dialysis fibre. As glucose is added, FITC-dextran and rhodamine-Con A move further apart, FRET decreases and the fluorescence of the fluorescein donor increases (ex 470 nm, em 520 nm). The linear range for glucose was up to 200 mg/dl (11.1 mM). Meadows and Schultz (1988) mention the problem that the stability of the sensors is affected by Con A irreversibly aggregating to form precipitates over a period of some hours, a difficulty which others subsequently noted (e.g. McCartney et al., 2001) and which has restricted the development of this type of sensor. Lakowicz and Maliwal (1993) were probably the first to emphasize the advantages of measuring fluorescence decay 2557 times for glucose sensing and applied this to a Con A FRETbased sensor. Since lifetimes are independent of probe concentration, light scattering and absorption in the sample, it was suggested that time-domain fluorescence measurements should be especially suitable for in vivo use. Several donor acceptor pairs were investigated, e.g. with a coumarin donor attached to Con A and Texas Red isothiocyanate acceptor attached to ␣-d-mannoside, glucose addition increases donor fluorescence intensity and mean lifetime (decreased FRET). Similar results were seen with coumarin-Con A and dextranmalachite green. These donor fluorophores displayed nanosecond decay times (mean lifetime 2–3 ns), requiring high frequency light modulation for lifetime phase-domain measurement. Longlifetime probes have some advantages, such as the light source can be a simple light-emitting diode and interference from short-lived background fluorescence is eliminated. Alternative donors reported by this group for the Con A system include the luminescent metal complex ruthenium tris-(2,2 bipridyl) (lifetime ∼400 ns, ex 460 nm, em 650 nm) covalently attached to Con A (Tolosa et al., 1997b). Another donor, Cy 5 (ex 650 nm, em 675 nm), was also bound to Con A (Tolosa et al., 1997a), and although it has a short lifetime (∼1 ns), the absorption and emission spectrum in the red region allows excitation with red laser diodes and the possibility of trans-dermal sensing. Instead of dextran as the acceptor-labelled reagent, maltose-insulin labelled with malachite green was used in an attempt to reduce aggregation, though this was not completely successful (Tolosa et al., 1997a). Rolinski et al. (1999) drew attention to the transdermal sensing potential of the protein, allophycocyanin (APC), used as a highly fluorescent donor in combination with malachite green as acceptor in FRET studies. Later, the APC/malachite green pair was incorporated in a Con A/dextran system for glucose sensing (Rolinski et al., 2000a; McCartney et al., 2001), with APC covalently attached to Con A and malachite green to amino dextran (Fig. 1). APC is one of the phycobilliproteins extracted from Cyanobacteria and Rhodophyta (blue–green and red algae). It has a very high extinction coefficient (7 × 105 M−1 cm−1 ) and a high quantum yield of ∼0.8 (cf ∼0.15 for Cy 5 and ∼0.04 for ruthenium complexes), allowing low dye concentrations and discrimination against background fluorescence in tissues. Because the intrinsic fluorophores are enfolded within the protein (MacColl, 1987), the fluorescence is relatively photostable and immune from environmental perturbations such as changes in pH. The absorption and fluorescence emission maxima of APC are at ∼650 and 670 nm, ideal for trans-dermal sensing. The time-resolved NIR fluorescence assay for glucose based on APC-Con A and dextran-malachite green used a pulsed laser diode and time-correlated single photon counting for lifetime measurement. Standard measurement of FRET assuming a 2D dimensionality above a glucose concentration of about 5 mM showed a 20% decrease of the Förster γ-value or mean fluorescence lifetime over a 30 mM change 2558 J.C. Pickup et al. / Biosensors and Bioelectronics 20 (2005) 2555–2565 Fig. 1. Upper: a FRET-based assay for glucose using Con A. Con A has four binding sites for glucose and is covalently labelled with allophycocyanin (APC) as the fluorescent donor. Glucose binds in competition with dextran (labelled with malachite green [MG] as the acceptor). Addition of glucose (upper right) displaces dextran, increasing the distance between acceptor and donor and therefore decreasing FRET (lower), see McCartney et al. (2001). in glucose (McCartney et al., 2001). However, in complex biological systems there are advantages to analyzing the decay without making assumptions about donor–acceptor distribution, and we recently described such a method (Rolinski et al., 2000b, 2001) based on the calculation of a distribution function, ρ, which is some 70% more sensitive than γ. In this case, ρ demonstrated a 35% decrease over a 30 mM glucose change (McCartney et al., 2001). In conventional Förster analysis of FRET, an assumption is made of an homogeneous distribution of acceptors. Our method for determination of the actual donor–acceptor distribution function enables structural information about complex biological systems to be retrieved from FRET data—fluorescence nanotomography (Rolinski et al., 2001). The issue of encapsulation of Con A-based FRET technology for in vivo use was addressed by Russell et al. (1999) who covalently linked Con A labelled with tetramethylrhodamine isothiocyanate (TRITC) to a polyethylene glycol (PEG)-based hydrogel. Cross-linked PEG hydrogels are highly water-soluble and similar gels were reported to improve the biocompatibility of implanted sensors (Quinn et al., 1995). The 2 mm-microspheres of PEG/Con A also contained physically entrapped fluoresceinated dextran (donor). Addition of glucose increased FITC fluorescence (ex 488 nm, em 514 nm) due to displacement of the dextran from the immobilized Con A. The response time for a step increase in glucose (0–11.1 mM) was about 10–12 min and for a step decrease (55–0 mM), about 20 min. No studies were performed in plasma or serum which may quench the fluorescence. Ballerstadt and Schultz (2000) described an affinity-based hollow fibre glucose sensor in which Con A labelled with the fluorophore Alexa 488 (ex 480 nm, em 520 nm) binds to dye-coloured Sephadex G150 or G200 beads (which are porous matrices of dextran chains, the glucose residues of which bind Con A). After diffusion of glucose into the hollow fibre containing the beads, Con A is displaced from the Sephadex, FRET reduced and fluorescence increased. The two (acceptor) dyes studied were Safranin O and Pararosaniline which were attached to the beads via a divinyl sulphone bis functional linker. The average response time was 4–5 min, and the linear range was up to about 25 mM glucose. In this system, the signal was thought to be particularly high in response to glucose because light cannot penetrate well into the beads, thus preventing fluorescence of the deeply bound Alexa 488-Con A and amplifying the increase when it is displaced. In a subsequent report, Ballerstadt et al. (2004) extended this work by using Alexa 647 (ex 633 nm, em 670 nm) as an NIR fluorophore label for Con A, a system potentially more suitable for interrogation through the skin. A sensor signal drop of about 25% per month was observed in this study, thought not to be due to Con A aggregation, but to leakage of the Con A out of the membrane capsule. It is worth noting that the in vitro functioning of such Con A systems is rarely studied in the more clinically relevant blood, serum or plasma. One exception is McCartney et al. (2001), using the APC-Con A and dextran-MG FRET pair, who showed that albumin solution reduced FRET at any glucose concentration by about 45% and serum essentially abolished it. This interference could be prevented by removing high molecular weight compounds (>10 kDa) such as proteins from the serum with appropriate membrane filters. 3.2. Glucose oxidase and glucose dehydrogenase Trettnak and Wolfbeis (1989) were amongst the first to propose a glucose sensor based on changes in the intrinsic flavine fluorescence of glucose oxidase, but FAD fluorescence is weak and changes are small in response to glucose. An alternative approach is to derivatize glucose oxidase with a compound such as fluorescein-5(6)-carboxamido-caproic acid (ex 489 nm, em 520 nm) which possibly enables energy transfer between the FAD prosthetic group of the enzyme and the extrinsic fluorophore (de Marcos et al., 1999; Sierra et al., 2000). In this system, a fluorescence change after glucose addition occurs after a delay of some seconds. Interestingly, the glucose concentration is not proportional to the increase in fluorescence, but to the time between addition and the fluorescence change. The mechanisms involved are poorly understood. The same group has described similar changes (an ‘appearance time’ after which fluorescence gradually increases) when studying the intrinsic fluorescence of glucose oxidase in the UV range (ex 278 nm, em 335 nm) and attributed this to differences in energy transfer between J.C. Pickup et al. / Biosensors and Bioelectronics 20 (2005) 2555–2565 2559 tryptophan residues in the enzyme and the oxidized and reduced form of FAD (Sierra et al., 1997). The glucose oxidase catalyzed reaction can be monitored by fluorescent detection of oxygen consumption or hydrogen peroxide production: d-glucose + O2 glucose oxidase −→ H2 O2 + d-gluconolactone d-gluconolactone+H2 O → d-gluconicacid Early fibre optic glucose sensors with a fluorescent oxygen optrode included a device that incorporated immobilized glucose oxidase over an oxygen optrode composed of decacyclene in silicone (Trettnak et al., 1988; Schaffer and Wolfbeis, 1990). The fluorescence of decacyclene (ex 385 nm, em 450–600 nm) is quenched by oxygen. The ruthenium complex, tris(1,10-phenanthrolene)ruthenium chloride (ex 447 nm, em 604 nm), has also been used as an oxygen detector in glucose oxidase-based glucose sensors by several groups, oxygen quenching the fluorescence of the ruthenium compound: Rosenzweig and Kopelman (1996) used polyacrylamide, both in fibre optic configurations. Another modification employing a ruthenium complex as oxygen detector uses monomolecular layers of glucose oxidase covalently immobilized to S-layer glycoprotein ultrafiltration membranes, derived from bacterial crystalline cell surface layers (Neubauer et al., 1996). Several methods have been described for monitoring hydrogen peroxide production by fluorescence techniques, often involving the formation of a fluorescent oxidation product from the non-fluorescent p-hydroxyphenyl acetic acid (HPA) or homovanillic acid (HVA) in the presence of a second enzyme, peroxidase (Klang et al., 1976). Since added reagent is necessary, these methods cannot be classified as biosensors, though they are suitable for in vitro analysis of clinical samples. A further strategy with enzymes such as glucose oxidase is to explore the use of the enzyme, inactivated of its ability to oxidize glucose, as a glucose-binding protein. D’Auria et al. (1999) found that removal of FAD from glucose oxidase (at low pH) resulted in an apo-enzyme that bound glucose with similar affinity to the native enzyme. Apo-glucose oxidase non-covalently bound 8-anilino-1-naphthalene sulphonic acid (ANS) and addition of glucose caused an approximately 25% decrease in fluorescence intensity (ex 335 nm, em 535 nm) and 40% in lifetime, possibly attributable to a shift of ANS to a more polar environment. A similar result by the same group (D’Auria et al., 2000) was reported for ANS bound to apo-glucose dehydrogenase (i.e. without NAD(P) cofactor), from a more heat- and solvent-stable enzyme from the thermophilic source, Thermoplasma acidophilum. However, 3% acetone was necessary to uncover any effect of glucose on the fluorescence of ANS-glucose dehydrogenase, which is compatible with the known effect of non-polar solvents in increasing the activity of thermophilic proteins. Fig. 2. The structure of monomeric yeast hexokinase, which is bilobular with a cleft in the middle. Each monomer has four tryptophan residues which are the main contributors of the intrinsic fluorescence of the enzyme. Binding of glucose induces a conformational change and a decrease in tryptophan fluorescence. From Maity et al. (2000). 3.3. Hexokinase/glucokinase The hexokinases catalyse the transfer of the ␥-phosphoryl group of ATP to the hydroxyl group at the C6 position of glucose. Mg2+ or another divalent metal ion such as Mn2+ is required for activity: ATP + d-glucose → ADP + d-glucose-6-phophate Yeast hexokinase exists in dimeric form (monomer molecular weight 52 kDa) and each subunit consists of two lobes with a cleft in the middle (Fig. 2); binding of glucose at the active site at the bottom of the cleft leads to a large conformational change in the enzyme, such that the two lobes move closer together and the glucose is almost surrounded by protein (Steitz et al., 1977). Monitoring the effects of glucose on hexokinase structure may thus provide the basis of a glucose sensor. Several groups studying the kinetics of hexokinase have reported quenching of the intrinsic fluorescence of the protein on addition of glucose, though not with the specific intent of developing glucose sensing technology (e.g. Feldman and Norton, 1980; Woolfitt et al., 1988). Each subunit of yeast hexokinase has four tryptophan residues (Fig. 2), two surface residues, one glucose-quenchable residue in the cleft and one buried (Kramp and Feldman, 1978); at an excitation wavelength of about 300 nm, both monomers and dimers have a steady state fluorescence emission maximum at about 330 nm which is attributable to tryptophan fluorescence. A recent report is that of Maity et al. (2000) who studied the intrinsic fluorescence of hexokinase to monitor the conformational changes in the enzyme. Addition of a single saturating concentration of glucose (12 mM) resulted in a 28–30% 2560 J.C. Pickup et al. / Biosensors and Bioelectronics 20 (2005) 2555–2565 decrease in tryptophan fluorescence intensity and a decrease in the mean lifetime from ∼3.3 to ∼2.6 ns. ATP or Mg2+ had negligible or only very small effects on the fluorescence changes. Another approach to studying the glucose-induced conformational change in hexokinase is to use the fluorescence of bis-ANS (the dimer of 1, 8-ANS), which avidly binds to hydrophobic areas of proteins, as a reporter of environmental change in the enzyme (Maity and Kasturi, 1998). Bis-ANS is almost non-fluorescent in aqueous solution but on binding to hexokinase displays fluorescence with a maximum at about 490 nm. At a saturating concentration of glucose the fluorescence intensity decreases by about 13%. The primary binding site for bis-ANS is likely to be at the site where ATP interacts with the enzyme. Because of concerns about the long-term stability of yeast hexokinase for sensing purposes, D’Auria et al. (2002) have explored the use of the more stable glucokinase/hexokinase from the thermophilic microorganism Bacillus stearothermophilus in a competitive FRET-based glucose assay. The acceptor was glucose containing an absorbing nitrophenyl group, o-nitrophenyl--d-gluconopryranoside (ONPG) which quenches the intrinsic, donor fluorescence of the enzyme attributable to tryptophan. Addition of glucose results in recovery of fluorescence. We have recently reexamined yeast hexokinase as a potential glucose sensing enzyme, focusing on developing sensing methodology for in vivo applications (Hussain and Pickup, unpublished; Pickup et al., in press). Addition of glucose to hexokinase in solution results in an immediate decrease in intrinsic fluorescence (ex 295 nm, em 330 nm), reaching a maximum decrement of about 25% after 3 min. The maximal fluorescence change occurs at about 0.8–1.0 mM glucose (Fig. 3), with a Km of about 0.3 mM. Unfortunately, inclusion of serum in the assay, almost completely quenches the glucose-dependent fluorescence change, indicating that protection from biological environment is necessary for proper in vivo functioning. We have approached the problem of configuration of hexokinase-based glucose sensors for in vivo use by studying its encapsulation in porous sol–gels based on tetramethyl orthosilicate (TMOS), with or without covering membranes. Sol–gels have several potential advantages for glucose sensors intended for implantation in the body, including the provision of a matrix for immobilizing and containment of the enzyme, protection and excluding interfering substances such as fluorescence quenchers from the biological medium, favourably altering the enzyme kinetics (e.g. extending the linear range) and providing a biocompatible medium. Sol–gel immobilized yeast hexokinase retains its activity, showing an approximately 20% decrease in intrinsic fluorescence in response to saturating glucose concentrations. Interestingly, the maximal response of hexokinase in a monolithic sol–gel matrix was increased to about 40 mM glucose (Fig. 3) (cf. 0.8 mM for enzyme in solution) and the Km to about 12.5 mM (cf. 0.3 mM for free hexokinase). Applica- Fig. 3. Upper: decrease in intrinsic fluorescence of hexokinase in solution (percent of fluorescence intensity without glucose), on addition of glucose (Km = 0.15 mM). Lower: hexokinase entrapped in sol gel has an increased Km of 12.5 mM. tion of an outer membrane consisting of 5% poly hydroxyethylmethacrylate extends the linear range to up to 100 mM and the Km to about 57 mM glucose. Unlike hexokinase in solution, sol–gel encapsulated hexokinase responds to glucose in serum with a decrease in intrinsic fluorescence comparable to that observed in serumfree buffer, whether or not coated with an outer membrane. This offers considerable promise for the development of an in vivo glucose sensor based on this enzyme. 3.4. Bacterial glucose-binding protein The periplasmic space of Escherichia coli and other bacteria contains a family of sugar- and other ligand-binding proteins of different molecular weight but similar structure, where there is a single polypeptide chain that folds into two domains connected by a hinge (Fig. 4). Binding of the ligand at a site between the two domains is accompanied by a large conformational change with the domains closing around the ligand, similar to hexokinase (Marvin and Hellinga, 1998). Protein engineering techniques are being used to adapt these molecules so that binding events are transduced by sitespecifically attached fluorophores, either through changes in FRET between donor–acceptor pairs on the protein or by fluorescent changes in an environmentally sensitive single fluorophore (Gilardi et al., 1997; Hellinga and Marvin, 1998). J.C. Pickup et al. / Biosensors and Bioelectronics 20 (2005) 2555–2565 Fig. 4. The structure of bacterial glucose-binding protein consists of two domains separated by a hinge region. Glucose binding at the interface between the two domains causes a bending and twisting around the hinge so that the molecule closes around the glucose. Adapted from Hellinga and Marvin (1998). 2561 labelled with a ruthenium flurophore. On addition of glucose the polarity sensitive acrylodan is exposed to solvent and shows a decrease in fluorescence, whereas the fluorescence of the ruthenium is unchanged, acting as a reference for ratiometric measurements. Such a strategy may be less subject to errors of photobleaching, fluctuations in the light source and sample positioning. A fluorescent fusion glucose-binding protein has also been used for in vivo monitoring of cell glucose (see below, Fehr et al., 2003). The possible construction of glucose sensors based on bacterial binding proteins and quantum dots is also discussed below. 3.5. Boronic acid derivatives Marvin and Hellinga (1998) constructed a number of variants of the glucose binding protein from E. coli where single cysteine residues introduced by site-directed mutagenesis were used to couple the polarity-sensitive fluorphores acrylodan (ex 392 nm, em 520 nm) or (((2(iodoacetoxy)ethyl)methyl)amino)-7-nitrobenz-2-oxa-1,3diazole (IANBD, ex 469 nm, em 540 nm). All four mutants with a fluorophore linked at the hinge region showed a change in fluorescence on glucose binding: the acrylodan conjugate at position 255 showed a two-fold decrease in fluorescence intensity with addition of 2 mM glucose. The largest change was noted with IANBD attached at the binding pocket, where there was a four-fold increase in fluorescence at saturating glucose. Tolosa et al. (1999) later reported a similar study, in which a mutant of glucose-binding protein was created by replacing the amino acid residue at position 26 with cysteine, and labelling with the environmentally sensitive probe 2(4 -iodoacetamidoanilino)naphthalene-6-sulphonic acid (IANS). Addition of glucose to the ANS-protein resulted in a two-fold reduction in fluorescence intensity (ex 325 nm, em 450 nm) but no change in fluorescence lifetime at saturating glucose concentration (∼8 M). Ye and Schultz (2003) have described a FRET-based system in which a fusion protein was constructed by fusing two fluorescent proteins to E. coli glucose-binding protein, one to each end—green fluorescent protein (ex 395 nm, em 510 nm) at the C terminus (the donor) and yellow fluorescent protein (ex 513 nm, em 527 nm) at the N terminus (acceptor). Because of the spectral overlap between the two fluorophores there is a high degree of energy transfer, and when glucose binds to the fusion protein, conformational change results in separation of the fluorophores and reduced FRET. The alteration in fluorescence was linearly related to glucose up to about 20 M glucose, where there was a 20% change in fluorescence. Finally, a prototype glucose sensor was configured as the fusion protein incorporated in a hollow dialysis fibre and tested in vitro. Most recently, Ge et al. (2004) have described a dualemitting glucose-binding protein with acrylodan labelling a single cysteine mutation at position 255 and the N terminus Boronic acids bind covalently to 1, 2 or 1, 3 diols to form five- or six-membered cyclic esters. Phenylboronic acid thus binds to the cis diols of saccharides, being more selective towards d-fructose than d-glucose. Several groups have synthesized derivatives of boronic acid which are linked to a fluorophore and where molecular recognition of glucose is coupled to a fluorescence change (James et al., 1996). The spatial separation of two boronic acid moieties in a derivative is an important determinant of which saccharide is bound: James et al. (1994) reported that a diboronic acid 9,10-diaminomethylanthracene skeleton provides a good fit with glucose (Fig. 5), and other diboronic acid derivatives have been described (James et al., 1996). A diphenylboronic acid dianthrocene compound reported by Karnati et al. (2002) has very high selectively towards glucose—some 43-fold over fructose and 49-fold over galactose. Addition of glucose causes an increase in fluorescence intensity (about sixfold at a saturating glucose concentration of about 3 mM; ex 370 nm, em 423 nm for this compound). Di Cesare and Lakowicz (2001) have also studied fluorescence lifetime changes with glucose binding to boronic acid derivatives, including an anthracene derivative which showed an increase Fig. 5. A molecular fluorescence sensor for glucose based on diboronic acid as the glucose receptor and diaminomethylanthracene as the fluorophore (James et al., 1994). 2562 J.C. Pickup et al. / Biosensors and Bioelectronics 20 (2005) 2555–2565 Fig. 7. Increase in the autofluorescence of adipocytes in culture with increasing glucose concentrations, attributed to increasing production of NAD(P)H, see Evans et al. (2003). in mean lifetime from 6.4 to 11.5 ns on addition of 10 mM glucose. The mechanism held responsible for fluorescent changes in such sensors is usually photoinduced electron transfer (PET) (Bryan et al., 1989; De Silva et al., 2001). In a sensor of design fluorophore-spacer-receptor, emission from the excited fluorophore is quenched by electron transfer from the receptor (Fig. 6). On binding of the ligand to the receptor a change in the ionization/redox potential of the receptor reduces electron transfer and ‘switches on’ fluorescence. In the case of compounds above, the nitrogen of the amine provides an electron-rich centre for PET. Boronic acid receptors can also be used for glucose assay in a competitive mode, where the association of a receptor and separate reporter is dissociated by ligands. Arimori et al. (2002) synthesized a diphenylboronic acid receptor without a fluorescent signaling unit. This binds to the non-fluorescent dye Alizarin Red S (via the dye diols) to form a fluorescent complex (ex 495 nm, em 570 nm). Addition of glucose displaces the dye from the receptor and the fluorescence decreases. the fluorescent cofactor NAD(P)H is produced from nonfluorescent NAD in many glucose-dependent metabolic pathways, including the tricarboxylic acid cycle, glycolysis and the hexose monophosphate pathway. NAD(P)H has a fluorescence with a maximum at about 440–480 nm when excited at 340 nm, and monitoring fluorescence at this wavelength at the skin surface may therefore provide a non-invasive glucose sensing technology. In an in vitro cell culture model, we measured the intrinsic fluorescence of skin component cells, adipocytes and fibroblasts, and showed that intrinsic fluorescence of these cells is similar to pure NAD(P)H. This was confirmed by treatment with rotenone, an inhibitor of complex I of the electron transport chain which maximizes mitochondrial NAD(P)H, increased the autofluorescence; treatment with carbonyl cyanide p-(trifluoromethoxy)phenylhydrazone, which abolishes the proton gradient and minimizes mitochondrial NAD(P)H, decreased cell autofluorescence (Evans et al., 2003). The intrinsic fluorescence of both fibroblasts and adipocytes increased with increasing glucose concentrations in the incubation medium, reaching a maximum at about 10–15 mM (Fig. 7). Several metabolites which might generate NAD(P)H in glucose-unrelated pathways (the fatty acid palmitate, the ketone body three-hydroxybutyric acid and the amino acid glutamine) had minimal effect on cell autofluorescence. Insulin, which is a major regular of glucose metabolism caused only small increases in glucosedependent fluorescence changes, indicating that the level of insulinization in diabetic patients would be unlikely to interfere significantly with fluorescence responses. 4. Tissue fluorescence 4.2. Fluorescent mitochondrial markers as indicators of glucose concentration Fig. 6. The principle of photoinduced electron transfer. In a complex consisting of a fluorophore linked to a molecular receptor via a spacer, excitation of the fluorophore drives electron transfer from the unoccupied receptor and quenches fluorescence (upper). On binding of ligand to the receptor, changes in the redox/ionization state of the receptor prevents electron transfer to the fluorophore and switches on fluorescence (lower). Based on De Silva et al. (2001). 4.1. Intrinsic fluorescence of cells Recently, we have been investigating the notion that the intrinsic fluorescence of tissues such as skin can be used as a reporter of glucose metabolism and thus blood glucose concentrations (Evans et al., 2003). We hypothesized that We incubated fibroblasts and adipocytes with the green fluorescent cationic dye, rhodamine 123 (ex 490 nm, em 530 nm), which is taken up by mitochondria in the cells. Addition of glucose caused an immediate concentrationdependent decrease in fluorescence (Fig. 8). This is probably related to the increased supply of reducing equivalents J.C. Pickup et al. / Biosensors and Bioelectronics 20 (2005) 2555–2565 2563 (NAD[P]H) caused by glucose metabolism which leads to hyperpolarization of the inner mitochondrial membrane, increased uptake of the rhodamine 123 into the mitochondrion, forced aggregation of the dye molecules and hence intermolecular fluorescence quenching (Duchen et al., 1993). citation at a single wavelength to cause the fluorescence of many different particle sizes and thus multiplexed assays. The potential of quantum dots for glucose monitoring has been demonstrated in a series of studies using maltosebinding protein. Medintz et al. (2003) explored quantum dots as highly fluorescent donors in FRET-based assays, firstly engineering maltose-binding protein so that an oligohistidine tail at the C terminus binds the protein electrostatically to the quantum dots. A -cyclodextrin-QSY9 acceptor dye conjugate capable of binding to the maltose binding protein acted as a competitive ligand for the protein. With 560 nm donor quantum dots and an average of 10 protein molecules bound, added maltose competes with the acceptor labelled cyclodextrin for binding to the protein, reducing FRET and increasing fluorescence intensity and lifetime of the quantum dots. The same group has bound hisitidine-tagged maltosebinding protein to quantum dots, with either a cyanine dye (Cy 3) serving as the acceptor, covalently linked to a mutant of the protein with a cysteine at position 95 Lapp (Clapp et al., 2004) or Rhodamine red bound to a range of maltose-binding protein mutants (Medintz et al., 2004). 4.3. Imaging of cell glucose with bacterial binding proteins 5. Conclusions Fig. 8. Glucose-induced quenching of the fluorescence of fibroblasts in culture, stained with the mitochondrial dye rhodamine 123 (Evans et al., 2003). Fehr et al. (2003) have developed a FRET-based nanosensor for monitoring glucose in individual cells by flanking the E. coli glucose/galactose binding protein with two green fluorescent protein variants—cyan fluorescent protein at the N terminus and yellow fluorescent protein at the C terminus. The substrate-induced hinge-twist motion of this type of binding protein is predicted to move the termini and fluorophores further apart and to decrease FRET (as opposed to maltose binding protein, where substrate induces the termini to move closer together). Thus, addition of glucose to the fusion protein increased fluorescence. For monitoring at physiological glucose concentration, a fluorescent mutant binding protein was produced by mutating phenylalanine-16 to alanine, which increased the binding constant from 170 nM to 0.6 mM. This was expressed in the cytosol of COS-7 (kidneyderived) cells with microscopy imaging of cell fluorescence. Addition of 10 mM glucose to the external medium caused a decrease in the ratio 535/480 nm fluorescence within <30 s, reflecting an increase in cytosolic glucose. At external glucose levels between 0.5 and 10 mM, free cytosolic glucose concentrations remained at about 50% of the external level. 4.4. Possible future technologies for fluorescence-based glucose sensing: quantum dots Quantum dots are semiconductor nanocrystals, typically a CdSe core and a ZnS shell, that exhibit size-dependent fluorescence emission (Chan et al., 2002). They have many special properties that would benefit the construction of fluorescence glucose sensors, including high quantum yield and photostability. Also, their broad emission spectra enables ex- There are few fluorescence-based glucose detection methods that have reached the stage of testing in vivo, and none have entered clinical practice in diabetes management. This will clearly be an area of active investigation in the coming years—we will need, for example, to explore potential interferents and the stability and accuracy under real-life conditions. Given the problems associated with the presently available in vivo glucose sensors based on implanted amperometric enzyme electrodes and reverse iontophoresis (Pickup et al., in press), there is an urgent need for alternative glucosesensing technologies to be investigated further. Whilst sensing based on fluorescence intensity has been studied in some depth, the potential of fluorescence lifetime measurements has yet to researched in any detail. Given that lifetime data have some special advantages for in vivo sensing, such as freedom from light scattering in the tissues and apparent changes in fluorophore concentration due to encapsulation or diffusion, we feel that this technique should be explored further. Techniques for encapsulation of in vivo fluorescence sensors are also in their infancy, at least as far as testing in humans or animals are concerned. Here, sol–gel immobilization and implanted fibre-optic probes are amongst the approaches that seem to us to have promise. We will undoubtedly see more improved fluorophores for use in biological systems, and in this respect quantum dots are already making an impact. We expect that several fluorescent nanocrystal variants of quantum dots will emerge in the next few years and are likely to be incorporated in sensors. There is no doubt that fluorescence technologies have considerable promise for glucose sensing. 2564 J.C. Pickup et al. / Biosensors and Bioelectronics 20 (2005) 2555–2565 Acknowledgements We are grateful to the Engineering and Physical Sciences Research Council, the Wellcome Trust and the Diabetes Foundation for financial support. References Arimori, S., Ward, C., James, T.D., 2002. A d-glucose selective fluorescent assay. 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