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Detection of bioavailable cadmium, lead, and arsenic in polluted soil by tailored multiple Escherichia coli whole-cell sensor set
Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; College of Life Sciences, Shandong Agricultural University, Tai’an, China.
Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.ORCID iD: 0000-0002-5729-1908
State Key Laboratory of Microbial Technology, Shandong University, Jinan, China.
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2015 (English)In: Analytical and Bioanalytical Chemistry, ISSN 1618-2642, E-ISSN 1618-2650, Vol. 407, no 22, 6865-6871 p.Article in journal (Refereed) Published
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Abstract [en]

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.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2015. Vol. 407, no 22, 6865-6871 p.
Keyword [en]
Heavy metals; Bioavailability; Specificity; Whole-cell sensor set; Cross-mixed induction; Binary linear regression
National Category
Environmental Sciences
Research subject
Enviromental Science
Identifiers
URN: urn:nbn:se:oru:diva-47494DOI: 10.1007/s00216-015-8830-zISI: 000360220800028PubMedID: 26138890OAI: oai:DiVA.org:oru-47494DiVA: diva2:895352
Note

Funding Agencies:

"Knowledge Innovation" Program of Chinese Academy of Sciences KSCX2-YW-JS401

National Key Technology R&D Program of China 2012BAJ24B01

Major Science and Technology Program for Water Pollution Control and Treatment 2012ZX07209-003 

Key Research Program of Chinese Academy of Sciences KZZD-EW-11-1/3

Available from: 2016-01-18 Created: 2016-01-18 Last updated: 2017-10-17Bibliographically approved

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