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. 2022 Apr 27;12:6898. doi: 10.1038/s41598-022-11051-9

Detection of environmental pollutant cadmium in water using a visual bacterial biosensor

Chang-ye Hui 1,✉, Yan Guo 2, Han Li 3, Chao-xian Gao 1, Juan Yi 1
PMCID: PMC9046199  PMID: 35477977

Abstract

Cadmium (Cd) contamination in water and soil is considered an environmental pollutant. Food crops can absorb and accumulate bioavailable Cd. Continuous monitoring of Cd levels in the environment can minimize exposure and harm to humans. Visual pigments have been demonstrated to have great potential in the development of minimal-equipment biosensors. In the present study, a metabolically engineered bacterium was employed to produce blue-purple pigment violacein responsive to toxic Cd(II). The high stability of the bisindole pigment contributed to determining the violacein at wavelengths of 578 nm. Visual and quantifiable signals could be captured after a 1.5-h Cd(II) exposure. This novel biosensor showed significantly stronger responses to Cd(II) than to other heavy metals including Pb(II), Zn(II), and Hg(II). A significant increase in pigment signal was found to respond to as low as 0.049 μM Cd(II). The naked eye can detect the color change when violacein-based biosensor is exposed to 25 μM Cd(II). A high-throughput method for rapid determination of soluble Cd(II) in environmental water was developed using a colorimetric microplate.

Subject terms: Microbiology techniques, Environmental biotechnology

Introduction

Environmental pollution arising from Cd is a worldwide concern because of its persistence, bioaccumulation, and highly toxic properties1. Cd and its various compounds, as settled, soluble, bio-adsorbed, or bio-accumulated forms, are dispersed in the ecosystem, so the determination of bioavailable Cd is useful in health risk assessment of Cd pollution2. As an effective supplement to instrumental methods, the whole-cell biosensors have been well demonstrated to be powerful tools for predicting accumulation, translocation, and ecotoxicological effects of heavy metal pollution3.

So far, bioluminescent, chemiluminescent, fluorescent, and traditional colorimetric detection systems have been successfully employed in developing bacterial whole-cell biosensors toward heavy metals including Cd(II)4–9. Pigmented metabolites are visible to the naked eye, and so the use of colored pigments as biosensing readouts holds great promise in the design of heavy metal biosensors10–13. The visible signal output is able to be interpreted without the need for complicated instruments, enabling them as powerful tools especially useful in low-resource areas.

Violacein, as a hydrophobic chromogenic pigment produced by environmental bacteria, displays a charming purple-blue hue14. The violacein biosynthetic pathway has been extensively clarified and employed in several recent studies15–17. Whole-cell biosensors using violacein as a visible readout have been validated in detecting essential micronutrients such as zinc in biological samples18, as well as toxic lead and toxic mercury in environmental samples19,20. In this study, violacein production is performed by the heterologous biosynthetic genes expressed in bacterial biosensor under the control of Cd(II) sensory elements. The novel violacein-based biosensor could efficiently respond to low levels and a wide concentration range of Cd(II). Furthermore, a high-throughput 96-well microplate bioassay was established and validated in monitoring bioaccessible Cd(II) in environmental water samples in a visible and stable manner.

Materials and method

Bacterial strain, vectors, and agents

Escherichia coli (E. coli) TOP10 was used as the bacterial host. Engineered bacteria were cultured in Luria–Bertani (LB) broth (10 g/L tryptone, 5 g/L yeast extract, and 10 g/L NaCl) supplemented with 50 μg/mL ampicillin. Stock solutions of CdCl2, Pb(NO3)2, ZnSO4, and HgCl2 were freshly prepared using analytical grade reagents and purified water.

Assembly of the biosensing construct

The plasmid pET-vio with a violacein biosynthetic gene cluster (vioABCDE) inserted into the NdeI/SacI sites of pET-21a was previously constructed20. The plasmid pCadR21 was digested with BglII and XbaI, and the resultant fragment containing the Cd(II) sensory module, the cadR gene and its divergent cad promoter, was inserted into the same sites of pET-vio to generate pPcad-vio. The resultant biosensing construct pPcad-vio was used for transformation into E. coli TOP10 and spread on LB agar plates containing 50 μg/mL ampicillin. After inverted incubation at 37 °C for 12 h, single colonies were picked up for the following studies. E. coli TOP10 harboring the biosensing construct pPcad-vio is expected to sense bioavailable Cd(II) using biosynthetic violacein as a visual output signal.

Stability investigation of violacein-derived signal

The overnight LB culture of TOP10/pPcad-vio was used to inoculate fresh LB medium (1% v/v inoculum). After 3 h incubation at 37 °C with shaking at 250 rpm, engineered TOP10/pPcad-vio in early exponential phase (OD600 = 0.17) was induced with 25 μM Cd(II) for 3 h, and the intracellular violacein agglomerates were extracted with butanol as described previously19. The butanol extraction phase was placed at 37 °C and sampled at regular time intervals. The visible light absorption spectrum of the sample was measured in a microplate reader (BioTek Epoch, USA). A 300–750 nm scanning wavelength range with an interval of 2 nm was set.

Analysis of response pattern of whole-cell biosensor

To evaluate the time-dependent response of biosensor toward different concentrations of Cd(II), overnight culture of TOP10/pPcad-vio was inoculated using 1% v/v inoculum to 3 mL of LB medium and grown at 37 °C for 3 h. A final concentration of 0, 0.15, and 1.5 μM Cd(II) was supplemented into the early exponential-phase culture, followed by a 6-h incubation and sampled at regular time intervals. One milliliter culture was mixed with 400 μL butanol and vortexed violently for 2 min. The upper extract was prepared by centrifugation at 8000g for 2 min. To determinate the content of violacein in the butanol extraction phase, aliquots of 100 μL were transferred into a 96-well microplate and measured at 578 nm using a microplate reader.

Detection selectivity assay

To evaluate the detection selectivity of the biosensor, stock solutions of Cd(II), Pb(II), Zn(II), and Hg(II) were added into the early exponential-phase culture of TOP10/pPcad-vio at a final concentration of 0, 1.25, 2.5, 5, 10, and 20 μM. This was then followed by a 1.5-h culture at 37 °C before bacterial density and pigment signal were determined. Aliquots of culture containing 100 μL were pipetted into a microplate directly and measured at 600 nm for bacterial density. After butanol extraction, the violacein-derived signal was determined as described above.

Cd(II) detection with the developed whole-cell biosensor

To investigate the performance of the biosensor toward increased concentrations of Cd(II), the early exponential-phase cultures of TOP10/pPcad-vio were exposed to 0, 0.0061, 0.012, 0.024, 0.049, 0.098, 0.195, 0.39, 0.78, 1.56, 3.125, 6.25, 12.5, 25, 50, 100, 200, 400, and 800 μM Cd(II) at 37 °C using a double dilution method as described previously21. After a 1.5-h induction, aliquots of 100 μL culture were read at 600 nm to determine the bacterial density, and aliquots of 100 μL butanol extract were read at 578 nm to determine the violacein-derived signal.

Detection of environmental water samples

To validate the capability of the biosensor to detect bioavailable Cd(II) in environmental water samples, engineered TOP10/pPcad-vio was cultured in LB medium prepared with purified water, tap water, and two kinds of surface water as described previously11. The early exponential-phase culture were spiked with 0, 0.39, 0.78, 1.56, 3.125, 6.25, and 12.5 μM Cd(II) using a double dilution method. Bacterial density and pigment signal were measured after 1.5 h of incubation at 37 °C.

Results and discussion

Assembly of violacein-based Cd(II) biosensor

As a secondary metabolite, the bisindole violacein is generated by the condensation of two L-tryptophan molecules, and this reaction was usually catalyzed by five biosynthetic enzymes in diverse bacteria22. The violacein biosynthesis pathway has been heterogeneously reconstructed using the vioABCDE gene cluster derived from Chromobacterium violaceum in E. coli20. The metalloregulator CadR originally characterized in Pseudomonas putida23, has been successfully employed as the sensory element to develop Cd(II)-responsive biosensors with fluorescent proteins as the output signals in our previous studies5,21,24. In the present study, a Cd(II) biosensing construct was assembled by employing the CadR and its divergent promoter as the Cd(II) sensory module and the vioABCDE gene cluster as the visual reporter module. As shown in Fig. 1a, the expression of pigment biosynthetic genes is activated when the whole-cell biosensor is exposed to bioavailable Cd(II). Hydrophobic violacein cannot be secreted by the host and accumulates in the cell. Violacein can be released after butanol treatment and then quantified using a colorimetric method. Violacein is vibrant blue-purple and has maximum absorbance at about 578 nm (Fig. 1b). Furthermore, violacein in the butanol was demonstrated to be very stable. The visible adsorption spectrum of pigment remains almost unchanged over a 13-day period (Fig. 1c). Given the light absorption characteristics and stability of violacein described above, the pigment content in the butanol was determined at 578 nm in the following study.

Figure 1.

Figure 1

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(a) The violacein biosynthesis triggered by Cd(II) sensory element. (b) The maximum absorption wavelength of violacein produced by Cd(II)-induced TOP10/pPcad-vio. The left inset is the whole visible absorption spectrum ranging from 300 to 750 nm, and the right inset is the butanol-soluble violacein. (c) The stability of violacein-based pigment signal. The butanol-soluble violacein was placed at 37 °C and sampled at regular time intervals for the spectrum scanning. Experiments were performed four times with similar results and one of the representative experimental results is shown.

Response pattern of violacein-based biosensor toward Cd(II)

The basal expression has been shown to be common in most identified heavy metal resistance operons and this property was believed to facilitate bacterial survival in the unpredictable and complex environment25,26. High-background biosensing platforms for cadmium have been reported due to the leaky expression of fluorescent reporters in these artificial cadmium resistance operons5,7,21. Pigment reporter, which is produced by biosynthetic enzymes catalysis, can be expected to constantly accumulate along with prolonging induction15. This property has been proved to improve the sensitivity of pigment-based biosensor13. However, the background expression signal may also be amplified20. The target optimal induction time is a strong biosensing signal with the lowest background signal. As shown in Fig. 2a, both of the Cd(II)-induced violacein signals increased with the extension of induction time, and reached their maximum strengths after a 3.5-h induction. The leaky production of violacein was not obvious after 1.5-h incubation, however, the accumulation of violacein constantly increased since 2 h induction. The color change of butanol phase could be distinguished easily by the naked eye (Fig. 2b). Considering a low background and a strong enough Cd(II)-induced visual signal, a 1.5-h induction was chosen in the following study.

Figure 2.

Figure 2

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(a) Time-response curves of the biosensor upon exposure to increased concentrations of Cd(II). The results are shown as the mean of four independent assays ± SD. (b) The butanol extraction phases containing violacein were prepared at regular time intervals before read at 578 nm in a microplate reader. The representative image from four independent experiments is shown here. The red dotted box shows the pigment signal derived from the biosensor after a 1.5-h Cd(II) induction.

Response selectivity of violacein-based biosensor

For the investigation of biosensing selectivity, E. coli TOP10 carrying pPcad-vio was exposed to 0, 1.25, 2.5, 5, 10, and 20 μM Cd(II), Pb(II), Zn(II), or Hg(II). Violacein aggregates accumulated in bacterial cells could exert a certain influence on the determination of bacterial density at 600 nm20. For this reason, bacterial densities were slightly increased in all groups with violacein overproduction (Fig. 3a). Bacterial biosensor was responsive to Cd(II) > Hg(II), almost non-responsive to Pb(II) and Zn(II) (Fig. 3b). Importantly, the biosensor strongly responded to Cd(II) in a dose–response relationship ranging from 0 to 20 μM. Furthermore, the biosensor also responded to Hg(II) in a dose–response relationship ranging from 0 to 10 μM. Owning to the poor selectivity of metalloregulator CadR, non-specific response toward Hg(II) was also found in previously developed CadR-based biosensors4,5,8,27. The violacein-based reporter was demonstrated to not interfere with the metal specificity of metalloregulator CadR. A color deepening in butanol phases is obvious in Cd(II) and Hg(II) exposure groups (Fig. 3c). The decrease in bacterial density and violacein absorbance upon exposure to 20 μM Hg(II) was possibly attributed to significant cytotoxicity28.

Figure 3.

Figure 3

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The performance of biosensors toward different metal ions. TOP10/pPcad-vio during the early exponential phase was exposed to four kinds of metal ions. After being cultured at 37 °C for 1.5 h, the bacterial densities (a) and the violacein signals (b) were measured at 600 nm and 578 nm, respectively. The red dotted box shows the pigment signals derived from the biosensor without exposure to metal ions. (c) A representative photo of butanol extraction phases from four independent experiments with similar results is shown here.

Response of violacein-based biosensor toward Cd(II) with systematically varied concentrations

To characterize the overall response of the biosensor toward a wide concentration range of Cd(II), E. coli TOP10 harboring pPcad-vio was exposed to 0–800 μM Cd(II) using a double dilution method. Consistent with previous studies21, the cytotoxicity of Cd(II) was high upon exposure to above 200 μM Cd(II). Bacterial density decreased dramatically when the cytotoxicity of high concentrations of Cd(II) was obvious (Fig. 4a). The biosensing response was found to increase initially (0–25 μM), to maintain the maximum stable response (25–100 μM), and then to decrease steadily (100–800 μM) (Fig. 4b). Such an overall response of bacterial biosensor was believed to be determined by the molecular response properties of metalloregulators25. In the first stage, the biosensing signal constantly increases with the increase of the concentration of low-level intracellular cognate metal. In the second stage, the biosensing signal maintains stable when the metal binding sites of metalloregulators are saturated. In the third stage, the biosensing signal will decrease sharply when cytotoxicity of high-level cognate metal is obvious. Both linear and non-linear regression analyses were previously proposed to quantify the content of cognate metals using whole-cell biosensors13,20. Although the absorbance of violacein was proportional to the Cd(II) concentration ranging from 0 to 25 μM, a good non-linear response (R2 = 0.98365) to Cd(II) was only found in a low, narrow concentration range (Fig. 4c). Although this response property limits the precise quantitative assessment of bioavailable Cd(II), the biosensor has a great potential in approximately quantitating toxic Cd(II).

Figure 4.

Figure 4

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The performance of biosensor exposed to increased concentrations of Cd(II). (a) TOP10/pPcad-vio in early exponential phase from 0 to 800 μM Cd(II). After being cultured at 37 °C for 1.5 h, bacterial cell densities were measured at 600 nm. (b) The responses of biosensor toward 0–800 μM Cd(II). The inset shows the dose–response curve within 0–25 μM Cd(II). (c) Regression analysis of the relationship between violacein-derived signal and Cd(II) concentration (0.024–0.78 μM). (d) The detection sensitivity of the biosensor. The asterisk shows the limit of detection, which was defined as the lowest metal ion concentration that induced a significantly enhanced production of violacein (background + 3 × SD). (e) A representative photo from four independent experiments with similar results is shown here.

The detection limit could be defined as the lowest metal concentration that evokes a significant increase in biosensing signal (background + 3 × SD)7,11. The detection limit using bacterial biosensor in the present investigation was about 0.049 μM (Fig. 4d), which is lower than early reported CadR-based biosensor employing fluorescent reporters5,21, but still higher than the criteria maximum concentration (CMC) of cadmium in freshwater (about 0.016 μM) recommended by the United States Environmental Protection Agency (USEPA)2. However, the detection limit of violacein-based biosensors is similar to the permissible limits for cadmium in drinking water recommended by China, European Communities (EC), and World Health Organization (WHO)2.

Previously developed bacterial whole-cell biosensors toward Cd(II) were summarized in Table 1. Although the biosensors using fluorescence protein reporters usually showed high detection limits, various genetic circuits (amplification, logic gate, toggle switch) have been demonstrated to facilitate the improved detection sensitivity29,30. Compared with fluorescence proteins, enzyme reporters including luciferase31,32 and β-galactosidase33 have been demonstrated to significantly enhance the detection sensitivity. However, the determination of two enzyme reporters is highly dependent on extra substrates, expensive instruments, and professional technicians. These disadvantages seriously limit their practical applications. Naked-eye recognition of pigments induced by heavy metals has been demonstrated to be an alternative to traditional reporters2. We recently developed an indigoidine-based biosensor which could detect Cd(II) as low as 0.024 μM13. The biosynthesis of water soluble indigoidine was dose-dependently induced by bioavailable Cd(II). Compared with the instable indigoidine-derived signal, violacein is highly stable, which is more convenient for detection.

Table 1.

Comparison of developed whole-cell biosensors toward bioavailable Cd(II).

Host cells Sensory element Reporter Detection range (μM) LOD (μM) Specificity Ref
Escherichia coli PzntA Luciferase 0.01–0.3 0.01 Pb(II) and Hg(II) 31
PzntA LacZ 0.025–10 0.025 Cd(II), Zn(II), and Hg(II) 33
PzntA GFP 0.045–35.7 ND Cd(II), Zn(II), and Hg(II) 34
PzntA eGFP 0.89–44.64 ND Cd(II), Zn(II), and Pb(II) 35
RFP 8.93–267.8 ND
Logic gated PzntA GFP 12.3–333 ND Cd(II) and Zn(II) 36
PzntA eGFP, RFP 8.93–89.29 ND Cd(II), Zn(II), and Cr(III) 37
PcadCA GFP 0.09–0.45 0.09 Cd(II), Zn(II), and Pb(II) 7
PcadCA eGFP 3 3–30 Cd(II) and Pb(II) 9
A polycistronic unit, PcadR RFP, eGFP, and LacZ 0.1–1.56 0.1 Cd(II) and Hg(II) 5
PcadCA, PcadR RFP, eGFP 0.05–400 0.05 Cd(II), Pb(II) and Hg(II) 21
A dual-sensing element, PcadR RFP 0–200 0.1 Cd(II) and Hg(II) 24
PcadR Indigoidine 0–200 0.024 Cd(II) and Hg(II) 13
RFP 0–200 0.78 Cd(II), Pb(II) and Hg(II)
PcadR Violacein 0–25 0.049 Cd(II) and Hg(II) This study
Psuedomonas A toggle circuit, PcadR GFP 0.01–1 0.01 ND 29
PcadR GFP 0.09–90 0.09 Cd(II), Pb(II) and Hg(II) 8
A T7 RNAP circuit, PcadR RFP 0.01–10 0.01 ND 30
Staphylococcus aureus PcadCA Luciferase 0.107–0.89 0.107 Cd(II), Pb(II), and Sb(III) 32
Bacillus subtilis 0.007–0.035 0.007
Shewanella oneidensis PcadR GFP 0.09–90 0.09 Cd(II), Pb(II) and Hg(II) 8
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ND not determined, LOD limit of detection, lacZ β-galactosidase, GFP green fluorescent protein, eGFP enhanced green fluorescent protein, RFP red fluorescent protein.

Although the results suggested that violacein-based Cd(II) biosensor was not suitable for accurate quantitative analysis, the blue-purple color in the butanol phase was significantly deepened with the increase of Cd(II) concentrations, especially at a metal concentration higher than 3.125 μM (Fig. 4e). Based on colorimetric determination of heavy metal ions in aqueous matrix, several paper-based biosensor systems have been successfully developed38,39. The deepening of purple recognized to the naked eye might enable the violacein-based biosensor a robust, paper-based analytical device for monitoring high concentrations of toxic Cd(II).

Response of violacein-based biosensor toward bioavailable Cd(II) in environmental water

A procedure is proposed to simplify and cost-effectively detect bioavailable Cd(II) in environmental water samples (Fig. 5a). Minimal instruments are employed in the testing process, which is composed of preparation of culture medium, incubation, butanol extraction, and colorimetric determination after centrifugation. To compare the performance of biosensors responding to environmental water, different water samples including purified water, tap water, and two kinds of environmental surface water (Fig. 5b) were used to prepare culture broths. Total cadmium in these water samples was first demonstrated to be below the detection limit (0.004 μM) in atomic absorption spectrometry40,41. The early exponential-phase biosensor cells cultured in these mediums were exposed to different concentrations of Cd(II) at 37 °C for 1.5 h. The increase in turbidity measured as optical density at 600 nm was entirely attributed to intracellular pigment accumulation (Fig. 5c). The signals derived from violacein in the butanol phase significantly enhanced with the increase of concentration of spiked Cd(II). Importantly, the rising trends of pigment signals were all similar in four groups (Fig. 5d). The result showed that complex matrix in environmental water samples exerts slight influence on the biosynthesis of violacein triggered by bioavailable Cd(II). Owning to the hydrophobic characteristics of violacein, the color deepening in bacterial culture was not obvious (Fig. 5e). However, the color deepening in butanol phase became perceptible to the naked eye, and the results of three independent groups also showed excellent consistency (Fig. 5f).

Figure 5.

Figure 5

Figure 5

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Determination of soluble Cd(II) in artificially polluted environmental water samples. (a) The detailed protocol for measurement of bioavailable Cd(II) using violacein-based biosensor. (b) Environmental water was sampled from two local parks in downtown Shenzhen (map picture from Baidu Maps online). Early exponential-phase TOP10/pPcad-vio cultured in LB medium prepared using four water samples was exposed to elevated concentrations of Cd(II). After being cultured at 37 °C for 1.5 h, the bacterial densities (c) and the violacein-derived signals (d) were measured at 600 nm and 578 nm, respectively. A representative picture of the cultures (e) and the butanol extraction phases (f) with three independent assays in 96-well plates, showing that the production of violacein was positively correlated with the concentrations of Cd(II) spiked in environmental water samples.

Conclusion

In the present work, a bacterial biosensor selectively responding to toxic cadmium using a visual pigment as the output signal was developed. Direct visual feedback combined with colorimetric test was used in quantitatively determining bioavailable Cd(II). Although the background of the biosensor was a little high, the detection sensitivity was significantly higher than previously developed biosensors using fluorescence proteins. A proposed procedure was successfully used to detect soluble Cd(II) in environmental water samples. Our finding demonstrates that Cd(II)-induced violacein biosynthesis enables a fast-responding, low-cost, minimal-equipment biosensor which can be used to predict the ecotoxicology of heavy metals in the environment.

Acknowledgements

We thank Dr. Anne Fan Liu (Brigham and Women’s Hospital, Harvard Medical School, Boston, MA) for English language editing.

Author contributions

C.Y.H. conceived and designed the project, and wrote the manuscript. Y.G., H.L., and C.X.G. conducted the experiments. J.Y. provided advice on study design and data analysis. All authors read and approved the final manuscript.

Funding

This word was supported by the National Natural Science Foundation of China (82073517), the Natural Science Foundation of Guangdong Province (2019A1515011989, 2021A1515012472), the Science and Technology Program of Shenzhen (JCYJ20180306170237563, JCYJ20190808175205480, and KCXFZ20201221173602007), Shenzhen Key Medical Discipline Construction Fund (SZXK068), and Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties (SZGSP015).

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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