The impacts of different long-term fertilization regimes on the bioavailability of arsenic in soil: integrating chemical approach with Escherichia coli arsRp::luc-based biosensor

Hou, Qibin; Ma, Anzhou; Lv, Di; Bai, Zhihui; Zhuang, Xuliang; Zhuang, Guoqiang

doi:10.1007/s00253-014-5656-0

Cited by 23 publications

(7 citation statements)

References 71 publications

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“…The minimum detection limit of heavy metal biosensors often refers to the final concentration of the metal in the medium under optimal culture conditions (44). In this work, the same definition was used to describe the detection limit of the biosensors so that it can be compared with the work of other groups.…”

Section: Discussionmentioning

confidence: 99%

Sensitive and Specific Whole-Cell Biosensor for Arsenic Detection

Jia

Zhao

et al. 2019

Appl Environ Microbiol

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Whole-cell biosensors (WCBs) have been designed to detect As(III), but most suffer from poor sensitivity and specificity. In this paper, we developed an arsenic WCB with a positive feedback amplifier in Escherichia coli DH5␣. The output signal from the reporter mCherry was significantly enhanced by the positive feedback amplifier. The sensitivity of the WCB with positive feedback is about 1 order of magnitude higher than that without positive feedback when evaluated using a halfsaturation As(III) concentration. The minimum detection limit for As(III) was reduced by 1 order of magnitude to 0.1 M, lower than the World Health Organization standard for the arsenic level in drinking water, 0.01 mg/liter or 0.13 M. Due to the amplification of the output signal, the WCB was able to give detectable signals within a shorter period, and a fast response is essential for in situ operations. Moreover, the WCB with the positive feedback amplifier showed exceptionally high specificity toward As(III) when compared with other metal ions. Collectively, the designed positive feedback amplifier WCB meets the requirements for As(III) detection with high sensitivity and specificity. This work also demonstrates the importance of genetic circuit engineering in designing WCBs, and the use of genetic positive feedback amplifiers is a good strategy to improve the performance of WCBs. IMPORTANCE Arsenic poisoning is a severe public health issue. Rapid and simple methods for the sensitive and specific monitoring of arsenic concentration in drinking water are needed. In this study, we designed an arsenic WCB with a positive feedback amplifier. It is highly sensitive and able to detect arsenic below the WHO limit level. In addition, it also significantly improves the specificity of the biosensor toward arsenic, giving a signal that is about 10 to 20 times stronger in response to As(III) than to other metals. This work not only provides simple but effective arsenic biosensors but also demonstrates the importance of genetic engineering, particularly the use of positive feedback amplifiers, in designing WCBs.A rsenic (As)-contaminated groundwater, occurring from mining or agriculture or natural contamination due to the abundance of arsenic in the Earth's crust, is a serious global health issue. Long-term exposure to arsenic can result in various diseases including cancers (1, 2). It is estimated that over 100 million people worldwide may be at risk from consuming water contaminated with arsenic (3). The World Health Organization (WHO) has recommended 0.01 mg/liter (0.13 M) as a safe permissible level for arsenic in drinking water (4), and the Food and Agriculture Organization (FAO) has set a maximum contamination level (MCL) for arsenic of 0.01 mg/liter in irrigation water (5).

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Section: Discussionmentioning

confidence: 99%

Sensitive and Specific Whole-Cell Biosensor for Arsenic Detection

Jia

Zhao

et al. 2019

Appl Environ Microbiol

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“…The measurements performed with the biosensor were backed by analysis of manure and Cu amounts. The Escherichia coli-based biosensor used to measure the bioavailability of arsenic (As) in soil-and to assess the impacts of different long-term fertilization regimes containing N, NP, NPK, and M (manure), and NPK + M treatments on the bioavailability of As was reported in [197]. The mercury-inducible promoter P merT and the regulatory gene merR were merged with a promoterless reporter gene, egpf, to obtain a luminescent Pseudomonas putida chromosome whole cell reporter (BMB-ME) for Hg assessment in red soils from China in [198].…”

Section: Metal Detection By Bacterial Sensors (Bioassays) and Bio-pro...mentioning

confidence: 99%

Recent Advances in Chemical Sensors for Soil Analysis: A Review

et al. 2022

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The continuously rising interest in chemical sensors’ applications in environmental monitoring, for soil analysis in particular, is owed to the sufficient sensitivity and selectivity of these analytical devices, their low costs, their simple measurement setups, and the possibility to perform online and in-field analyses with them. In this review the recent advances in chemical sensors for soil analysis are summarized. The working principles of chemical sensors involved in soil analysis; their benefits and drawbacks; and select applications of both the single selective sensors and multisensor systems for assessments of main plant nutrition components, pollutants, and other important soil parameters (pH, moisture content, salinity, exhaled gases, etc.) of the past two decades with a focus on the last 5 years (from 2017 to 2021) are overviewed.

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“…S1a) and pcadCluc (ESM Fig. S1b) sensors were constructed in the previous research by our laboratory [8,9]. The pzntRluc sensor (ESM Fig.…”

Section: Experimental Materials and Methodsmentioning

confidence: 99%

Detection of bioavailable cadmium, lead, and arsenic in polluted soil by tailored multiple Escherichia coli whole-cell sensor set

Hou

Wang

et al. 2015

Anal Bioanal Chem

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Microbial whole-cell sensor has been widely used to assess bioavailability and risk of toxic elements, but their environmental use is still limited due to the presence of other interfering pollutants and the nonspecific binding in cells, which leads to inaccurate results. Here, we proposed a strategy combining Escherichia coli sensor set with binary regression models for the specific detection of bioavailable cadmium (Cd), lead (Pb), and arsenic (As) in a co-polluted environment. Initial tests suggested that the sensor set respectively termed pcadCluc, pzntRluc, and parsRluc could be classified into two groups according to their specific response to Cd, Pb, and As: group 1 (pcadCluc and pzntRluc) induced by a Cd-Pb mix and group 2 (parsRluc) induced by a Cd-As mix. Based on the variance in responses of each sensor to mixtures of target elements, three binary linear equations for two sensor groups were set up to calculate the individual concentrations in the mixture solutions. This method was then used to quantify the bioavailable Cd, Pb, and As in soils from a co-polluted mining region and to compare the results with other methods. Results showed that the conventional single target sensor method overestimated the bioavailability of each element, while sensor set was credible for accurate bioavailable Cd, Pb, and As quantification and comparable with the results from inductively coupled plasma mass spectrometry (ICP-MS) analysis. Our method can potentially be extended to cover the specific detection of other bioavailable toxic elements in different environmental settings.

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The impacts of different long-term fertilization regimes on the bioavailability of arsenic in soil: integrating chemical approach with Escherichia coli arsRp::luc-based biosensor

Cited by 23 publications

References 71 publications

Sensitive and Specific Whole-Cell Biosensor for Arsenic Detection

Sensitive and Specific Whole-Cell Biosensor for Arsenic Detection

Recent Advances in Chemical Sensors for Soil Analysis: A Review

Detection of bioavailable cadmium, lead, and arsenic in polluted soil by tailored multiple Escherichia coli whole-cell sensor set

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