Minimal inhibition concentrations (MIC) of heavy metals to
The detection of pollutants in the environment is becoming a health and economic issues. The sector of water realises more than 700.000 analyses per year with an average price of approximately 15 euros/analysis. In 2001, the European Community published in the official journal a list of priority substances to be detected within the water framework (Decision N 2455/2001/EC). Heavy metals like cadmium, lead and mercury belong to this list. The current measurement techniques are not applicable to the on line analysis of these pollutants because they are too expensive and complex to be applied in the field.
Our laboratory develops since ten years alternative measurement methods of chemical pollutants in water and pathogenic bacteria in the food industry either as bioassay or biosensor.
2. Generalities about bioluminescence, heavy metals and biosensors
2.1. Bacterial bioluminescence
The mechanism of the bacterial bioluminescence is studied since 1944 (McElroy & Ballentine, 1944). Today eleven bioluminescent bacterial species classified in four genus are listed. Three genus are coming from marine origin:
From the biological and ecological point of view, the interest of the bioluminescence is related to the symbiotic character of the bacteria. It was suggested that the metabolic function of the bacterial luciferase was connected to its capacity to the electrons transfer to oxygen rather than to its light output. Thus, it would be an alternative pathway for the electrons transport under low oxygen pressure like in fish organs (Hastings et al., 1985; Meighen, 1993) and the hosts would draw advantage from the light emitted by using it for communication or defence (Nealson & Hastings, 1979; Meighen, 1994; Visick et al., 2000).
The reaction of bioluminescence is catalyzed by the luciferase enzyme coded by the
2.2. Heavy metals and bacterial resistance
a. Heavy metals
Among metals it is necessary to separate metals and metalloids essential to the biological life (for example copper, zinc, iron, selenium…), from non essential metals such as for example cadmium, mercury. However all metals according to their concentration have a toxicity with respect to living organisms.
Heavy metals are naturally present both in the environment and in water at trace levels (5ng. L-1 Cd in water, INERIS, France), but the anthropogenic activity increases metals concentration found in the natural environments (Audry et al., 2004). Because of their great solubility in water heavy metals are easily absorbed by the living organisms and are found accumulated in human at the end of the food chain (Kurniawan et al., 2006). In fact the industrial wastes are mainly responsible for the current pollution of the rivers by heavy metals that are normally collected and treated by waste water treatment plants (WWTP). However, Karvelas et al, 2003, pointed out that even a fraction is adsorbed in the activated sludges, between 37 to 77% (depending to the metal) are rejected into the river. The WWTP can thus be a considerable source of pollution in spite of the existing standards of rejections and the treatments carried out.
b. Bacterial heavy metals resistance mechanisms
Basically, heavy metals action in the bacterial cytoplasm leads to important oxydative stresses (Nies, 1999). The minimal inhibition concentrations of heavy metals/metal for
|MIC (mM)||Heavy metals|
|0.02||Ag 2+ , Au 3+|
|0.2||CrO 4 2- , Pd 2+|
|0.5||Pt 4+ , Cd 2+|
|1.0||Co 2+ , Ni 2+ , Cu 2+ , Zn 2+|
|2.0||Tl + , UO 2 2- , La 3+ , Y 3+ , Sc 3+ , Ru 3+ , Al 3+|
|5.0||Pb 2+ , Ir 3+ , Os 3+ , Sb 3+ , Sn 2+ , In 3+ , Rh 2+ , Ga 3+ , Cr 3+ , V 3+ , Ti 3+ , Be 2+|
The entry of heavy metals into the bacterial cell is done by the regulation systems of the divalent cations or oxyanions. Indeed, heavy metals are not distinguishable for these transmembrane proteins, from the other divalent cations or oxyanions (for example: SO4 2-, HPO4 2-, Fe2+, Mg2+, Mn2+, etc…). Bacteria have developed two kinds of resistance mechanisms to cure this passive entry. The first of them is fast, non specific and is based on the gradient of concentration or on proto-motive force. The second mechanism is more specific, inducible and is activated in the presence of a metal and generally requires ATP hydrolysis.
This second inducible mechanism of resistance is subdivided in three types.
The first of them is a more or less specific system of cation/oxyanion efflux by ATPases pumps (ATPase CPx-type).
The second system is based on the complexation capacity of some divalent heavy metals with the -SH group of the gluthation or the metallothionines for cyanobacteria (Cavet et al., 2002).
Lastly, the third mechanism, more specific for oxyanions, allows a reduction of them in a less toxic form. These reduced forms are then evacuated from the cytoplasm with a specific ATPases pumps (Nies, 1995; Nies, 1999; Nies, 2003).
The bacterial mechanisms of regulation and resistance to heavy metals are summarised in Figure 2. The efflux systems using ATPases pumps are preferred in the bacteria because their energy cost per cell is lower than the complexation of metals by the glutathion or the metallothioneins. Indeed one ATP molecule is enough to evacuate a divalent metal with an ATPase pump belonging to the family of the ATPases CPx-type, whereas 16 ATP are necessary to complex only one divalent metal (Nies, 1999).
It is important to note that the mechanisms of inducible resistances, known to be specific, are thus not activated by only one metal even if their name seems to make it believe (Nies, 2003). In the same way, only one metal can activate several systems of resistance (Moore et al., 2005; Wang & Crowley, 2005).
c. Molecular basis of the ZntA/ZntR system of Escherichia coli
The action of the MerR regulators consists first of all to the repression of the target promoter in the absence of the metal. This inactivation is due to a distortion of the DNA double helix on the RNA polymerase fixation site. The regulator, having fixed the metal pollutant, changes its conformation allowing the RNA polymerase to fix to the promoter. The regulation of the
The regulators of the MerR type are activators/repressors. This family of proteins has at its N-terminal part a site for DNA fixation and the ligands are fixed to the C-terminal.
2.3. Detection of heavy metals with bioluminescent bacteria: choice of a heavy metal-bacterial resistance mechanism.
The inducible bioluminecent bacteria are used to detect specifically a pollutant or a family of pollutants or even the toxic effects. The action of the pollutants on the cells induces in this case the synthesis of the genes of bioluminescence and thus the emission of light. Thus, the choice of an inducible resistance system to build a sensitive strain is foremost justified by its sensitivity to metals
To obtain an interesting sensitivity, the resistance systems coming from less resistant bacteria such as
pMOL28 and pMOL30 plasmids was the object of an insertion of the transposon Tn4431 containing the
Table 2 reports the detection limits of three bioluminescent strains for heavy metals detection using various mechanisms of resistance from
Various developments are proposed or were proposed on the market such as: the BIOMET® kit developed from transcriptional fusions between the
The team of S.Daunert (Lexinton, Irvine, the USA) developed an original microfluidic and analysis system integrated in a compact disc allowing arsenic detection with the arsenic-sensitive
|Metals tested||E.coli heavy metals resistance mechanisms||European standards for water*|
2.4. Bioluminescent bacterial biosensors
A biosensor is an integrated and autonomous device able to provide a quantitative or semi-quantitative analytical information by using a biological element of recognition (the bioelement) retained to transducer (Figure 4) (Thévenot, 2001). The biosensors are distinguished from bioassay that are disposable kits. The microbial biosensors can be classified according to whether the bioelement is in liquid phase or immobilised phase.
The liquid phase biosensors remains on the principle of reactor cultures in batch or continuous modes.
In the reactors culture, sets of probes ensure the traditional control of the temperature, oxygenation and the pH. In many systems, measurements of bioluminescence and sometimes optical density are done in a second reactor for the pollutant measurement. Thus, if the sample injected is toxic, the bacteria in culture are not affected and the analyses can continue (Gu et al., 1999; Gu et al., 2002). Only one apparatus allows the simultaneous measurement of the bioluminescence and optical density in the same reactor (Thouand et al., 2003; Horry et al., 2004; Picart, 2004).
These biosensors often can use only one bioelement at the same time that limits the number of analyses, excepted a multi-reactors platform developed by (Lee & Gu, 2005). Another drawback of these systems is the dilution of the analysed sample after injection into the culture volume inside the reactor.
Contrary to the biosensors in liquid phase, the biosensors in immobilised phase allow a direct contact between the micro-organisms, the transducer but also with the sample. The photomultipliers, associated with a beam of fiberoptics are mainly used as physical transducer (Polyak et al., 2001; Horry et al., 2006) but also the CCD camera (Charrier, Thesis, 2006) or the CMOS (Complementary Metal Oxide Semi-conductor (Simpson et al., 1998).
Few bioluminescent bacterial biosensors multichannel match with the strict definition provided by the IUPAC were developed excepted for example Charrier (Thesis, 2006) and the systems approaching the biosensor but of single use, therefore being able to be regarded as bioassay (Kamidate et al., 2001; Philp et al., 2003; Tani et al., 2004; Lee & Gu, 2005; Maehana et al., 2006; Rabner et al., 2006).
3. Experimental procedures
3.1. Molecular biology
3.2. Bacterial strains and media
LB medium supplemented with ampicillin (100µg.mL-1, Sigma) or kanamicyn (20µg.mL-1, Sigma) was used for molecular biology. Solid LB was supplemented with 15g.L-1 of bacteriologic agar (Biokar Diagnostics).
An acetate medium with a C/N/P ratio of 100/10/1 was used for the growth of
Batch cultures were prepared at 30 C and shaken at 250rpm in 100ml Erlen flasks. Bacterial growth was monitored using a spectrophotometer (Unicam) and optical density measurement was reached at 620nm (OD620nm).
3.3. Cell immobilization procedure
In a first step
Metals used were: CdCl2 (Panreac), HgCl2 (Prolabo France), PbCH3CH2O (Panreac), SnCl2 (Merck), ZnCl2 (Merck), NiSO4 (Labosi), CoCl2 (Labosi), K2Cr2O7 (Labosi), CrCl3 (Acros), AgNO3 (Prolabo France), CuSO4 (Labosi), FeSO4 (Labosi), MnCl2 (Panreac) and As2O3 (Sigma). The purity of the metals was greater than 95%. Metal stock solutions were prepared at a high concentration (1M or 0.5M) in acidified distilled water (pH5-6) and conserved at +4 C in brown bottles. Working dilutions of metals were made daily in distilled water acidified to pH5-6.
Measurements of bioluminescence were made at controlled temperatures (30 C or 37 C) using a microtiter plate luminometer (Microlumate L96V, EGG Berthold). Heavy metal detection with
3.6. Environmental samples treatment and analysis
Environmental water samples were all coming from the city waste water treatment plant of La Roche sur Yon (Moulin Grimaud, capacity of 83000 population equivalent). The samplings were carried out at the exit of the station, before the effluent rejection in the Yon river.
In laboratory, samples were first filtered on 0.45µM membrane (Pall Corporation) and preserved at 4 C during one or two days. Filtration was necessary to withdraw the largest particles which would clog the fluidic biosensors system.
Before their injection in the biosensor, samples were all supplemented with acetate media at 1/10X final concentration and, for cadmium detection control, with 0.5µM of CdCl2.
DOC (Dissolved Organic Carbon) was measured in environmental samples with a TOCmeter : (COT-5000A Shimadzu). Total sulphate was measured with Hach Lange kit Sulfaver and total phosphate with the Briggs method.
3.7. Description and operation of Lumisens2 biosensor
Lumisens 2 (Horry et al, 2006) features three distinct parts: the fluidic layout, the disposable card and the optoelectronic equipment (Figure 5). The latter is composed of the power supply, the temperature regulation and the bioluminescence measurement device. The temperature, measured with a J thermocouple (TC Online), is regulated via a threshold value given by the controller (Chauvin-Arnoult), connected to a heater (Radiospares), inserted close to the disposable card. The bioluminescence is monitored with a photon-counting photomultiplier (Hammamatsu) connected to the disposable card with a fiber optic (Oriel). The light measurements are automatically recorded with a dedicated LabView® interface throughout all of the experiments.
The bacteria are immobilized in a 35 x 35 x 17 mm disposable parallelepipedic card designed in Ertacetal® plastic. The card is bored through the center to let the fluids come in contact with the bacteria. A 13 mm diameter enclosure has been placed at the depth in which the bacteria are immobilized and includes a measuring chamber of 1.32 cm3. An optical window (Edmund Optics) is hermetically stuck to the bottom of the measuring chamber on which the membrane of the bacteria is coated and maintained because of a 1 mm groove.
Inserted into its fixed pad, the disposable card closes the hydraulic layout, and the immobilized bacteria are in contact with the fluid diffusing into the immobilization agarose matrix.
Three independent samples are linked to a remote controlled 10 channel multiposition valve (Valco AG) that allows their specific selection. Each channel can be periodically selected throughout the experiments with a Windows® Hyperterminal® protocol, allowing the design of sequences of liquid exposures. The liquids are drawn out of the disposable card with a peristaltic pump (Meredos, Germany) located between two anti-return valves to avoid the reflux of the liquids into the card.
Measurement cycles were programmed with a soft specially dedicated to Lumisens2. Experimentations were all realised with a flow rate of 5mL.min-1. Induction medium was first injected in the biosensor during 100 minutes to induce bioluminescence. Then the biosensor switched automatically to the regeneration medium during 140 minutes to let the bioluminescence signal back to ground. Bioluminescence was measured each six seconds during all the experimentation and results were directly shown on the computer screen.
Constant oxygenation of the feeding medium was realised by a continuous bubbling of sterile filtered air (0.22µM filters, Sartorius) among the measurement cell.
The aim of this study was to demonstrate the applicability of a bioluminescent bacteria for the on line cadmium detection in waste water treatment plant. The strain
4.1. Specificity and detection limits of
E.coli DH1 pBzntlux
The range of detected metals and their associated detection limits are listed in Table 3. Of the fourteen heavy metals used, eight were detected by
4.2. Flow rate effect on the bioluminescence measurement
A first study was undertaken in order to evaluate the effect of various flow rates on the bacterial bioluminescence rate (Figure 6). The light production rates were comparable whatever the flow tested according to a statistical analysis (Test of Levene, =0,01).
The fluids circulation rates inside the Lumisens2 biosensor thus do not influence significantly the detection efficiency by the immobilized bacteria in the range of the flows tested. However one can note a lower variability for 5mL.min-1, that was selected in all our following experiments.
|Metal tested||Specificity||Detection Limit||EU Pollution Standards*|
|PbCH 3 CH 2 O||+||5µM||0.005µM|
|K 2 Cr 2 O 7||+||50µM||1µM|
|As 2 O 3||-||-||0.135µM|
4.3. Reproducibility of the measurement
The phases of induction and regeneration have a low signal variability (lower than 10%). The maximum of variation (17.1%) of the signal is observed at the peak of bioluminescence (Figure 7).
One can note a significant reproducible light decrease signal with the switch from induction to regeneration medium linked to a variation of oxygen in the bottle. The total time of the measurement cycle is 220 minutes, including 100 minutes of induction with the medium of test and then 120 minutes of regeneration. It should be noted that the time of arrival to the peak of bioluminescence is lengthened compared to the bioassay (45 minutes in liquid phase against 60 minutes in immobilized phase)
4.4. Repeatability of the measurement
In an application point of view, it is necessary to know the repeatability of the measurement for one single agarose membrane. The cycle of measurement 100 minutes of induction then 120 minutes of regeneration was thus repeated on the same membrane until extinction of the bioluminescence signal (Figure 8).
The intensity of the detection peaks decreased in an important way during time. However, 5 analyzes producing a significant peak of bioluminescence were monitored in less than 20 H.
This signal decrease affecting the repeatability could be attributed to:
parameters related to the environment of the bacteria:
Toxicity of cadmium by accumulation in the membrane
Availability of oxygen in the measuring chamber
parameters related to the bacteria:
Growth of the bacteria in the membrane
Lack of aldehyde for the bioluminescence reaction
Adaptation of the microorganisms to cadmium
These parameters were successively studied during various experiments in order to quantify their role in the signal.
4.5. Influence of several parameters on the repeatability
The accumulation of cadmium inside the membrane could cause an increasing toxicity for the bacteria. The cadmium concentration was measured by ICP-MS (Inductively Coupled Plasma - Mass Spectrometry) at different time in the membrane (without bacterium) having undergoes several cycle- metal addition/washing (Figure 9).
The agarose membrane contains an initial quantity of residual cadmium (51.6 nM), ten times higher than the detection limit of
As expected, the assay medium contains a cadmium concentration close to 500 nM (470 nM) that was never reached inside the membrane (305.1 nM and 356.7nM instead of 470 nM). Moreover, after regenerations, the metal concentration does not go down to the initial Cd concentration (51.6nM) but remains at concentrations from 83 nM to149 nM (Figure 9).
Hence, cadmium was not accumulated during all the cycles, but a fraction remained blocked in the agarose, while this material is not considered as an adsorbant according to Pernetti et al. (2004).
Oxygen is necessary both for the catabolism of the bacteria and the reaction of bioluminescence. The oxygen brought to the bacteria comes only from the assay and the regeneration media and dropped during the biosensor measurement (Figure 10).
During the first induction, the oxygen concentration at the biosensor output decreased significantly (from 5.8 to 5.2mg.L-1) whereas it remained stable during the following regeneration (5.4mg. L-1). The oxygen fall was confirmed with the following cycle and can be at the origin of the decrease of bioluminesence.
To address this steady lack of oxygen inside the card, a permanent bubbling device was designed to bring air inside the card. Figure 11 compares the results obtained with and without air bubbling.
These results show a very significant improvement of the living time of the card with a constant air feeding allowing eleven cycles of measurement instead of five without air bubbling. However the bioluminescence signal disappeared after more than forty operating hours. Oxygen even in excess in the measuring cell did not seem to be the only limiting factor of the living time of the membrane.
The carbon provided by the circulating medium (acetate medium 1/10X: DCO=148mg.L-1) is low, but could allow the cellular division. In order to check this hypothesis, the absorbance (OD 620nm) was measured in situ during a whole experiment after each medium substitution (Figure 12).
As supposed the bacteria divided in the membrane and the optical density doubled in 24 hours (from 0.068 to 0.127) with a low growth rate (µ=0.081h-1). As a consequence the opaqueness of the resulting agarose membrane led to a quenching of photon and caused a fall of the quantity of light collected by the fiber optic beam. Other consequences are possible, like a more important adsorption of cadmium onto the bacteria.
Three other parameters were tested due to their possible effects on bioluminescence :
A lack of oxygen already addressed above but increased to avoid any limitation.
A lack of tetradecanal (resulting from the luxC,D et E genes activities) involved in the bioluminescence reaction. The tetradecanal is not produced at saturated concentration in the Vibrio genus and could be limited in E.coli DH1 pBzntlux too (Meighen, 1999).
An adaptation to the Cadmium concentration. Another fundamental parameter, which can affect the answer of the bacteria during long and repeated exposures to the same cadmium concentration, is their adaptation to the toxic. Indeed, the ZntA/ZntR system that we used for the detection of heavy metals belongs to systems induced naturally to evacuate the cadmium from the cytoplasm of the cell.
These different hypothesis were tested and the results are presented in the Figure 13.
The induction with more oxygen or the addition of decanal did not improve the signal. On the other hand, an induction carried out with more cadmium (1.5 µM instead of 500 nM) made it possible to obtain the same signal as the first cycles of analysis. This result would consolidate the assumption according to which the bacteria adapt to the metal concentration tested (500nM CdCl2).
4.6. Detection limit
The period of 15 to 20 hours, where the signal of the bacteria is stable, was used to determine the limit of detection of Lumisens2 for cadmium. For that, 5 cadmium concentrations were successively used on the same membrane and the experiment was repeated three times to determine the limit of detection when metal was added either in distilled water or in the waste water treatment plant of la Roche sur Yon (France) effluent (Figure 14). The detection limit of the biosensor for cadmium was 50 nM with or without environmental matrix. This value was close to the European standard for water (45 nM) but was ten times more important than the limit of detection observed for cadmium in bioassays in liquid or immobilised phase (5nM).
4.7. Application to the detection of cadmium in a waste water treatement plant output.
In a last stage, we wished to associate the biosensor for the detection of cadmium in an effluent from the urban waste water treatment plant (WWTP) of la Roche sur Yon (France). Since technically it was not possible to bring the biosensor on site, the samples of the WWTP were collected twice a day (morning and evening) during 4 days and tested in the laboratory. For each day, a card containing the E.coli DH1 pBzntlux bacteria was introduced into the Lumisens 2 biosensor and was used all the day without exceeding 5 cycles of measurements to avoid the bioluminescence decrease. During these cycles, the two samples were introduced directly to check the presence of Cd in the effluent and after addition of 500 nM of CdCl2 in order to confirm the response of the bacteria.
The Figure 15 shows that the bacteria of the biosensor did not detect metals because of a cadmium-free effluent or a concentration lower than the detection limit (50nM). On the other hand, the bioluminescence was monitored when metal was added in the effluent (for example Day 1) that confirmed the measurement’s capacity of the bacteria.
It also appears that the produced bioluminescence ranged between 100,000 and 500,000 RLU.s-1 according to the samples which received the same metal concentration. The 4B sample was positive while bioluminescence was weak but remained significant compared to the other samples.
Experimental conditions: Each day tow samples of water were taken at the exit of the waste water treatment plant of La Roche sur Yon. For each day, samples were analysed with one chip of Lumisens 2 biosensor. Analysis cycles first start with the injection of the raw sample, in order to determine the presence of heavy metals, during 100 minutes (green curve). In a second step, regeneration medium was introduced to wash the membrane during 120 minutes. In a third step, the same sample, supplemented with 0.5µM of CdCl2, was introduced in the biosensor during 100 minutes and in a final step the membrane was washed during 120 minutes. Flow rate was 5mL.min-1 with constant oxygenation and the temperature was 30 C.
|DOC (mg.L -1 )||9.115||6.839||7.828||8.990||8.468||8.589||7.566||14.020|
|Sulfate (mg.L -1 )||34||43||74||38||34||60||60||25|
|Phosphate (mg.L -1 )||0.425||0.625||0.421||0.365||0.563||0.587||0.374||0.447|
The average bioluminescence was 312,000 RLU.sec-1 with a variability of 64%, exceeding the variability between membranes (see Figure 7). We sought to identify external factors able to influence the signal of bioluminescence such as the dissolved carbon, the sulphates and phosphates, all three chelators of metals (Table 4). No correlation was identified between the fall of the optical signal and a strong content of one of the three measured elements. No explanation could be given and it is finally possible to conclude that measurement is currently of all-or-nothing basis. In other word, if a metal is present at a concentration ranging from the limit of detection and the limit of toxicity, the biosensor is able to measure it without to quantify the concentration by the means of the luminous intensity.
The study carried out with Lumisens2 made it possible to better understand and characterise the on line detection of a metal with an immobilised inducible bioluminescent strain: E.coli DH1 pBzntlux. The main results are summarised in Figure 16.
The reproducibility of the measurement of cadmium at the selected flow rate is acceptable. The lifetime of the same membrane in a continuous mode is forty hours and during this period, eleven analyses are possible. Lee et al., (2004) bring back a life time of 60 hours with their biosensor with only six possible analyses. Heitzer et al., (1994) describe a lifetime of 14 days but they shown only 3 possible analyses in twenty hours. Our results in comparison with the above data, are thus satisfactory. However, as we noted, a progressive fall of the signal of bioluminescence was observed after a prolonged use of the same membrane, that could be attributed to two parameters (combined or not) discussed below.
5.1. Bacterial growth effect
The growth of the bacteria inside the membrane caused a fall of the bioluminescence while acting on three factors: the “quenching” of the light by the bacteria, the increase in the consumption of nutrient and oxygen (Figure 17).
At the beginning of the experimentation, the immobilised bacteria are in low number in the membrane. The nutrient, oxygen and metal would be sufficient so that each bacterium emits a strong and detectable bioluminescence. However, after 16 hours of use, the growth of the bacteria in the membrane of agarose limits the diffusion of the nutrients and metal. Affi et al. (2009) demonstrated that oxygen is the limiting factor since oxygen concentration moving from 100% saturation at the surface to 10% at the bottom off the gel.
The calculation of instantaneous S0/X0 ratio (ratio between the mass of carbon, S0 versus the mass of bacteria, X0) in the measuring cell is 309 at the beginning of an experiment and 265 at the end of the analysis. Those ratios allow the growth of the bacteria and a solution would be to limit the growth by decreasing the quantity of carbon available but certainly at the expense of the bioluminescence.
5.2. Effect of the adaptation to the metal
The adaptation of the bacteria to cadmium is a believable hypothesis because after addition of higher cadmium concentration (Figure 13), the levels of induction were restored. As shown in the Figure 18, the presence of cadmium induces both the bioluminescence production and also the synthesis of the resistance mechanism to heavy metals ZntA/ZntR (Binet & Poole, 2000). The repeated exposure to metal would cause an important synthesis of the ZntA protein into E.coli DH1 pBzntlux cytoplasm. According to our assumption, the quantity of transmembrane ATPases pumps would become sufficient so that the cadmium once entered in the cytoplasm would be immediately evacuated outside the bacteria. This phenomenon would prevent the fixation of metal by the ZntR protein and the activation of the synthesis of the luxCDABE operon. The strain would thus be adapted to the presence of the same cadmium concentration. Moreover, the resistance system ZntA/ZntR is not alone and other systems of efflux or complexation of heavy metals can amplify this phenomenon of adaptation and thus take part in the progressive fall of the signal of bioluminescence (Nies, 1992; Ferianc et al., 1998; Nies, 1999; Spain, 2003; Wang & Crowley, 2005).
The Lumisens2 biosensor designed with the E.coli DH1 pBzntlux bacteria made it possible to better understand the on line detection of a metal. In spite of the signal bioluminescence decrease attributed to adaptation and growth effect, we showed that lifetime for the same membrane is 40 hours (eleven analyses), that the reproducibility of measurements was satisfactory with a reproducibility of 17% and finally that the limit of detection of cadmium was 50nM. A card can be used with a stable signal during one day and it is possible to monitor the pollution of an effluent of a WWTP during 4 days.
We would like to thank Professor C.P. Wolk (MSU-DOE Seedling Research Laboratory, Michigan State University) for sending us the V.fischeri bioluminescence operon.
The research has been funded through the CER 2000-2006 Action 15 Grant (section 1), Research Programme n 18035: Ville de La Roche-sur-Yon, Conseil Général de Vendée, Conseil Régional des Pays de la Loire, Ministère Français chargé de la Recherche (DRRT Pays de la Loire).
T. Charrier would like to warmly acknowledge the support from the town of La Roche sur Yon, the University of Nantes and the IUT de la Roche sur Yon.
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