Microscale biosensor for measurement of volatile fatty acids in anoxic environments

Microbiosensor for the detection of acetate in electrode-respiring biofilms

The goal of this work was to develop a microbiosensor to measure acetate concentration profiles inside biofilms in situ. The working principle of the microbiosensor was based on the correlation between the acetate concentration and the current generated during acetate oxidation by Geobacter sulfurreducens. The microbiosensor consisted of a 30-µm carbon microelectrode with an open tip as a working electrode, with G. sulfurreducens biofilm on the tip and a pseudo Ag/AgCl reference electrode, all enclosed in a glass outer case with a 30-µm tip diameter. The microbiosensor showed a linear response in the 0-1.6mM acetate concentration range with a 79±8µM limit of detection (S/N=2). We quantified the stirring effect and found it negligible. However, the interfering effect of alternative electron donors (lactate, formate, pyruvate, or hydrogen) was found to be significant. The usefulness of the acetate microbiosensor was demonstrated by measuring acetate concentration depth profiles within a G. sulfurreducens biofilm. The acetate concentration remained at bulk values throughout the biofilm when no current was passed, but it decreased from the bulk values to below the detection limit within 200µm when current was allowed to pass. The zero acetate concentration at the bottom of the biofilm showed that the biofilm was acetate-limited.

Microbiosensors for measurement of microbially available dissolved organic carbon: sensor characteristics and preliminary environmental application

Microbial respiration-based microbiosensors used for quantification of available dissolved organic carbon (ADOC) instantaneously respired by microorganisms are described. The sensing membranes contained aerobic seawater microorganisms immobilized in a polyurethane hydrogel. Molecular investigations revealed that the bacterial strain used was most closely related to Staphylococcus warneri. This strain was characterized by low substrate selectivity, which was reflected in the response to various mono- and disaccharides, short-chain fatty acids, and amino acids, as determined using Biolog microplates. Specific emphasis was placed on critically assessing biosensor functioning that was affected by preconditioning of the selected bacterial strain, chemical and geometric properties of the sensing membrane (e.g., composition, permeability, and thickness), and the distribution, biomass, and physiological state of immobilized cells, as well as the exposure conditions (e.g., temperature and nutrient supply). The sensors revealed that there was a linear response up to a glucose concentration of 500 microM depending on the type, characteristics, and recent history of the sensors. The detection limit of the sensors was equivalent to about 6 to 10 microM glucose. The 90% response time ranged from 1 to 5 min. Generally, the response of the biosensors became weaker with time. The shelf lives of individual sensors were up to 2 weeks. Measurements based on optical ADOC microbiosensors revealed that in photoautotrophically dominated sandy coastal sediments, the pool sizes and turnover of ADOC were regulated by the photosynthetic activity of benthic microalgae and microbial aerobic respiration. A large increase in ADOC production was observed shortly after the microphytobenthic primary production reached the maximum value at midday, whereas ADOC was consumed by microbial respiration during the night.

Analysis of microbial communities with electrochemical microsensors and microscale biosensors

Electrochemical microsensors for O2, pH, H2S, H2, and N2O are now available commercially, thus it has become a relatively simple task to analyze the microenvironment in stratified microbial communities for several chemical species. In addition, sensors are available for the physical parameters diffusivity and flow, and based on knowledge about both transport processes and microdistribution of chemistry, it becomes possible to calculate the spatial distribution and local rates of transformations, such as aerobic respiration or denitrification. As compared to other advanced techniques, microsensor equipment is inexpensive. For example, it is possible to start working with oxygen microsensors with an investment of only about 5000 dollars. Construction of one's own microsensors is only recommended for the very dedicated user, but the investment here is mainly in terms of man-hours as the equipment is simple and inexpensive. By establishing a microsensor construction facility, it is possible to work with short-lived sensors such as ion-selective microsensors for H+, NO2(-), NO3(-), Ca2+, and CO3(-) based on ion exchangers and with microscale biosensors for NO(x)-, NO2(-), CH4, and volatile fatty acids based on immobilized bacteria.

Saccharomyces cerevisiae JEN1 promoter activity is inversely related to concentration of repressing sugar

When carbon sources are changed, Saccharomyces cerevisiae transcriptional patterns drastically change. To identify genes whose transcription can be used to quantitatively measure sugar concentrations, we searched genomic expression databases for a set of genes that are highly induced during the diauxic shift, and we used the promoters from these genes to drive expression of green fluorescent protein (GFP). Certain sugars, including glucose, fructose, and mannose, repress the promoter of JEN1, which encodes a lactate-pyruvate transporter, in a dose-dependent manner. Nonrepressing carbon sources include galactose, raffinose, ethanol, lactate, and glycerol. JEN1 promoter activity is a linear function of glucose concentration when organisms are grown at a steady-state glucose concentration below 1 g/liter. JEN1 promoter repression is specific to carbon source; heat or cold shock, osmotic stress, DNA damage, and nitrogen starvation do not significantly affect promoter activity. Activation of the JEN1 promoter requires the Snf1 protein kinase, but multiple regulatory elements most likely combine to provide the linear relationship between JEN1 promoter activity and sugar concentration. Thus, a JEN1 promoter-reporter system appears to provide a good living cell biosensor for the concentration of certain sugars. The JEN1 promoter also permits quantitative regulation of cellular functions not normally controlled by sugar concentrations. For example, a strain expressing FLO1 under control of the JEN1 promoter flocculates at a low glucose concentration.