Testing for arsenic pollution is commonly performed with chemical test kits of unsatisfying accuracy. Bacterial biosensors are an interesting alternative as they are easily produced, simple, and highly accurate devices. Here, we describe the development of a set of bacterial biosensors based on a nonpathogenic laboratory strain of Escherichia coli, the natural resistance mechanism of E. coli against arsenite and arsenate, and three reporter proteins: bacterial luciferase, beta-galactosidase and Green Fluorescent Protein (GFP). The biosensors were genetically optimized to reduce background expression in the absence of arsenic. In calibration experiments with the biosensors and arsenite-amended potable water, arsenite concentrations at 4 microg of As/L (0.05 microM) were routinely and accurately measured. The currently most quantitative system expressed the bacterial luciferase as reporter protein, responding proportional with a concentration range between 8 and 80 microg of As/L. Sensor cells could be stored as frozen batches, resuspended in plain media, and exposed to the aqueous test sample, and light emission was measured after 30-min incubation. Field testing for arsenite was achieved with a system that contained beta-galactosidase, producing a visible blue color at arsenite concentrations above 8 microg/L. For this sensor, a protocol was developed in which the sensor cells were dried on a paper strip and placed in the aqueous test solution for 30 min after which time color development was allowed to take place. The GFP sensor showed good potential for continuous rather than end point measurements. In all cases, growth of the biosensors and production of the strip test was achieved by very simple means with common growth media, and quality control of the sensors was performed by isolating the respective plasmids with the genetic constructs according to simple standard genetic technologies. Therefore, the biosensor cells and protocols may offer a realistic alternative for measuring arsenic contamination in potable water.
Whole-cell biosensors based on reporter genes are finding a variety of applications in analytical chemistry. Despite their ability to selectively recognize the analyte in a complex mixture, few applications of such sensing devices to real sample analysis are reported. This is mainly due to nonspecific effects on the biosensor response caused by components of the sample matrix and by environmental changes. To overcome this problem, a bacterial biosensor with an internal correction mechanism of the analytical response was developed by introducing an additional reporter gene that provides a reference signal of the analytical performance of the biosensor. The first reporter (GFPuv), expressed in response to the concentration of L-arabinose, provides the analytical signal; the second reporter (EYFP), constitutively expressed if a constant amount of IPTG is added to each sample, was used as an internal reference. By inducing the biosensor with varying amounts of L-arabinose and a constant amount of IPTG, it was possible to obtain a dose-response curve for L-arabinose, together with a constant production of EYFP, which allowed for a dynamic evaluation of the metabolic activity of the cell. When tested in nonoptimal conditions (e.g., in the presence of either ethanol or deoxycholic acid at toxic concentrations), the presence of the internal reference system corrected the analytical response due to nonspecific interferences.
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