Evaluation of neuron-based sensing with the neurotransmitter serotonin

Biomedical Perspective of Electrochemical Nanobiosensor

Electrochemical biosensor holds great promise in the biomedical area due to its enhanced specificity, sensitivity, label-free nature and cost effectiveness for rapid point-of-care detection of diseases at bedside. In this review, we are focusing on the working principle of electrochemical biosensor and how it can be employed in detecting biomarkers of fatal diseases like cancer, AIDS, hepatitis and cardiovascular diseases. Recent advances in the development of implantable biosensors and exploration of nanomaterials in fabrication of electrodes with increasing the sensitivity of biosensor for quick and easy detection of biomolecules have been elucidated in detail. Electrochemical-based detection of heavy metal ions which cause harmful effect on human health has been discussed. Key challenges associated with the electrochemical sensor and its future perspectives are also addressed.

Stochastic Frequency Signature for Chemical Sensing Using Noninvasive Neuronelectronic Interface

The detection of chemical agents is important in many areas including environmental pollutants, toxins, biological and chemical pollutants. As "smart" cells, with strong information encoding ability, neurons can be treated as independent sensing elements. A hybrid circuit of a semiconductor chip with dissociated neurons formed both sensors and transducers. Stochastic frequency spectrum was used to differentiate a mixture of chemical agents with effect on the opening of different ion channels. The frequency of spike trains revealed the concentration of the chemical agent, where the characteristic tuning curve revealed the identity. "Fatigue" experiment was performed to explore the "refreshing" ability and "memory" effect of neurons by cyclic and cascaded sensing. "Neuronelectronic noses" such as this should have wide potential applications, most notably in environmental and medical monitoring.

Methods for short time series analysis of cell-based biosensor data

This paper describes two approaches for sensing changes in spiking cells when only a limited amount of spike data is available, i.e., dynamically constructed local expansion rates and spike area distributions. The two methods were tested on time series from cultured neuron cells that exhibit spiking both autonomously and in the presence of periodic stimulation. Our tested hypothesis was that minute concentrations of toxins could affect the local statistics of the dynamics. Short data sets having relatively few spikes were generated from experiments on cells before and after being treated with a small concentration of channel blocker. In spontaneous spiking cells, local expansion rates show a sensitivity that correlates with channel concentration level, while stimulated cells show no such correlation. Spike area distributions on the other hand showed measurable differences between control and treated conditions for both types of spiking, and a much higher degree of sensitivity. Because these methods are based on analysis of short time series analysis, they might provide novel means for cell drug and toxin detection.

Influence of extracellular matrix proteins on membrane potentials and excitability in NG108-15 cells

Previous studies have demonstrated that components of the extracellular matrix can induce neurite extension and cell adhesion in the neuroblastoma x glioma hybrid cell line, NG108-15. Using standard intracellular recording techniques, we examined the resting membrane potential (RMP) and membrane excitability of NG108-15 cells differentiated under serum-free media with representative extracellular matrix (ECM) protein components as the substrate. Surfaces coated with collagen IV and a laminin-1 synthetic peptide induced a significantly (P < 0.05) more hyperpolarized RMP than control polystyrene surfaces. For example, after > or =8 days in culture NG108-15 cells plated on polystyrene exhibited a RMP of -33.2+/-0.8 mV (mean+/-SEM, n=158 cells) whereas cells cultured on the laminin-1 peptide C16 and collagen IV showed a RMP of -37.6+/-0.7 mV (n=157) and -37.5+/-1.5 mV (n=68), respectively. Furthermore, the proportions of cells on ECM substrates showing membrane excitability, i.e. evoked action potentials (APs) and the capability for regular firing, were significantly greater compared to those cells cultured on polystyrene. Among excitable cells cultured on the different substrates, characteristics of the action potentials, such as AP duration, amplitude, and the maximum rate of rise, dV/dtMAX, were examined in detail. While little or no differences were observed between polystyrene and the laminin-1 peptide groups, significant differences in the AP parameters were apparent for collagen IV. For example, dV/dtMAX for polystyrene and the laminin-1 peptide C16 were only 71.7+/-24.5 V/s (n=11) and 59.0+/-8.9 V/s (n=9), respectively, whereas cells cultured on collagen IV surfaces exhibited a dV/dtMAX reaching 156.1+/-22.0 V/s (n=7). These data support a role for ECM components in the maintenance of the RMP and membrane excitability in NG108-15 cells.

A cell-based immunobiosensor with engineered molecular recognition--Part II: Enzyme amplification systems

Immune cells in vivo routinely perform highly selective immunosensing in blood and tissues as part of their normal immune surveillance functions. We have been investigating the potential of exploiting the immunosensing detection abilities of excitable immune cells (i.e. the mast cell) for the development of whole cell immunobiosensors. A key feature is that these immune cells can be selectively engineered to recognize specific antigens in vitro. In the presence of antigen, these cells undergo excitable activation responses which result in increased metabolism and the exocytosis of stored intracellular mediators. We have previously determined that mast cell metabolic responses can be thermally transduced in real time, thus indicating the possibility of whole cell thermoelectric immunobiosensing. In this work we investigated the use of enzyme amplification systems to enhance the direct transduction of immune cell responses to analyte. It was found that with appropriate enzymes, peak outputs occurred within approximately 5 min (4-20 times faster than without enzymes) and peak response magnitudes were up to nine-fold greater than without enzymes.

Biomagnetic neurosensors

Non-invasive measurement of the neuromodulatory activity of certain analytes is now possible through the use of biomagnetic stimulation and detection techniques. The timely development of room-temperature instrumentation and of more effective techniques for coupling neurons to transducers are the critical elements for rapid progress in this field.

Application of compiled BASIC in developing software for collection and analysis of neuronal firing frequency data

Two programs are described which use an IBM-AT compatible personal computer, equipped with an analog-to-digital converter, to collect and analyze electrophysiological data. The first program is used to determine neuron firing rates during intracellular experiments and to save these results on disk. The second program is used to perform off-line analysis of the frequency data. Both programs are written entirely in the well known BASIC language and the Microsoft QuickBASIC compiler is employed for their use. All of the necessary hardware can be purchased commercially. In this paper emphasis is placed on the strategies and limitations involved when this high-level language is applied to tasks often needed in data acquisition and analysis. Both on- and off-line collection schemes are considered. This software is available from the authors.

Effects of temperature and analyte application technique on neuron-based chemical sensing

Results are presented which enhance the field of neuron-based sensing by providing insight on the effects of operating temperature and analyte application technique (pulse versus back-mixed) on sensing properties. In these studies, serotonin sensing attributes of giant visceral neurons VV1 and VV2 from the pond snail Lymnea stagnalis were measured. Experiments using a rapid fluid-exchange system reveal a concentration-dependent increase in maximum firing frequency similar to that reported earlier for a slow well-mixed application. With a rapid application, however, the maximum firing frequency is reached more quickly, and there is less cell-to-cell variability in both the maximum response and sensitivity. Given an application technique, an increase in temperature causes an increase in sensitivity and maximum firing frequency, as well as a decrease in the time required for the response to return to baseline following removal of the analyte. To provide insights on the kinetics of the serotonin-induced response, the effects of temperature and concentration on the rates of activation, recovery and desensitization were examined in detail. In general, it was found that an increase in temperature increases the rates of activation and desensitization, while the effects on recovery were not apparent. In addition, both the rates of activation and desensitization have a direct dependence on concentration while the rate of recovery has an inverse dependence.