Microsensors for in vivo Measurement of Glutamate in Brain Tissue.

Several immobilized enzyme-based electrochemical biosensors for glutamate detection have been developed over the last decade. In this review, we compare first and second generation sensors. Structures, working mechanisms, interference prevention, in vitro detection characteristics and in vivo performance are summarized here for those sensors that have successfully detected brain glutamate in vivo. In brief, first generation sensors have a simpler structure and are faster in glutamate detection. They also show a better sensitivity to glutamate during calibration in vitro. For second generation sensors, besides their less precise detection, their fabrication is difficult to reproduce, even with a semi-automatic dip-coater. Both generations of sensors can detect glutamate levels in vivo, but the reported basal levels are different. In general, second generation sensors detect higher basal levels of glutamate compared with the results obtained from first generation sensors. However, whether the detected glutamate is indeed from synaptic sources is an issue that needs further attention.

Microdialysis of GABA and glutamate: analysis, interpretation and comparison with microsensors.

GABA and glutamate sampled from the brain by microdialysis do not always fulfill the classic criteria for exocytotic release. In this regard the origin (neuronal vs. astroglial, synaptic vs. extrasynaptic) of glutamate and GABA collected by microdialysis as well as in the ECF itself, is still a matter of debate. In this overview microdialysis of GABA and glutamate and the use of microsensors to detect extracellular glutamate are compared and discussed. During basal conditions glutamate in microdialysates is mainly derived from non-synaptic sources. Indeed recently several sources of astrocytic glutamate release have been described, including glutamate derived from gliotransmission. However during conditions of (chemical, electrical or behavioral) stimulation a significant part of glutamate might be derived from neurotransmission. Interestingly accumulating evidence suggests that glutamate determined by microsensors is more likely to reflect basal synaptic events. This would mean that microdialysis and microsensors are complementary methods to study extracellular glutamate. Regarding GABA we concluded that the chromatographic conditions for the separation of this transmitter from other amino acid-derivatives are extremely critical. Optimal conditions to detect GABA in microdialysis samples--at least in our laboratory--include a retention time of approximately 60 min and a careful control of the pH of the mobile phase. Under these conditions it appears that 50-70% of GABA in dialysates is derived from neurotransmission.

Evaluation of hydrogel-coated glutamate microsensors.

Glutamate microsensors form a promising analytical tool for monitoring neuronally derived glutamate directly in the brain. However, when a microsensor is implanted in brain tissue, many factors can diminish its performance. Consequently, a thorough characterization and evaluation of a microsensor is required concerning all factors that may possibly be encountered in vivo. The present report deals with the validation of a hydrogel-coated glutamate microsensor. This microsensor is constructed by coating a carbon fiber electrode (10-microm diameter; 300-500 microm long) with a five-component redox hydrogel, in which L-glutamate oxidase, horseradish peroxidase, and ascorbate oxidase are wired via poly(ethylene glycol) diglycidyl ether to an osmium-containing redox polymer. A thin Nafion coating completes the construction. Although this microsensor was previously used in vivo, information concerning its validation is limited. In the present study, attention was given to its selectivity, specificity, calibration, oxygen dependency, biofouling, operating potential dependency, and linear range. In addition, successful microsensor experiments in microdialysate, in vitro (in organotypic hippocampal slice cultures), and in vivo (in anesthesized rats) are shown.

Improving the performance of glutamate microsensors by purification of ascorbate oxidase.

Enzyme-based biosensors have the potential to directly detect extracellular concentrations of glutamate in brain tissue with a high spatial and temporal resolution. To optimize their analytical performance, much attention has been paid to the architectural construction of these biosensors. In particular, the coupling of enzymes to the electrode surface has received much interest, which has resulted in many (derivatives of) first-, second-, and third-generation type of biosensors. However, it is remarkable that in the literature little attention, if any, has been paid to the influence of the quality of the enzyme itself on the analytical performance of a biosensor. Previously we have reported that different batches of ascorbate oxidase significantly altered the performance of our glutamate microsensor.(1) In this note, it is shown that a simple enzyme purification procedure as buffer exchange leads to a more uniform enzyme quality and also significantly improves the reproducibility and performance of the microsensor. In our opinion, this is an important observation and of general interest for the construction of enzyme-based biosensors.

Improving glutamate microsensors by optimizing the composition of the redox hydrogel.

Amperometric hydrogel-coated glutamate microsensors form a promising concept to detect glutamate levels directly in brain tissue. These microsensors are constructed by coating a carbon fiber electrode (CFE) (10 microm diameter; 300-500 microm long) with a five-component redox-hydrogel, in which L-glutamate oxidase, horseradish peroxidase, and ascorbate oxidase are wired via poly(ethylene glycol) diglycidyl ether to an osmium-containing redox polymer. Coating with a thin Nafion film completes the construction. Prior to use in vivo, a reliable and reproducible construction of microsensors with a high performance is required. For an optimal microsensor performance, the balance between the five individual hydrogel components is critical. However, due to their small size, hydrogel application to CFE's need to be performed by dip-coating. Dip-coating is a difficult procedure to control and does not allow individual application of hydrogel constituents. To improve the microsensor construction and to better control the dip-coating procedure, we have recently developed an automated device. Throughout this study, automatic dip-coating was performed with premixed solutions, in which the amount of a single component was varied. This allowed us to optimize the hydrogel composition, which resulted in a significant improvement of the microsensor properties in terms of sensitivity, current density, linearity, detection limit, and interference by ascorbic acid.