Swift Acid Rain Sensing by Synergistic Rhizospheric Bioelectrochemical Responses

Tian Li, Xin Wang, Qixing Zhou, Chengmei Liao, Lean Zhou, Lili Wan, Jingkun An, Qing Du, Nan Li, Zhiyong Jason Ren

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

Acid rain poses significant threats to crops and causes a decline in food production, but current monitoring and response to acid rain damage is either slow or expensive. The direct damage observation on plants can take several hours to days when the damage is irreversible. This study presents a real time bioelectrochemical monitoring approach that can detect acid rain damage within minutes. The rhizospheric bioelectrochemical sensor (RBS) takes advantage of the fast chain responses from leaves to roots, and then to the microbial electrochemical reactions in the rhizosphere. Immediate and repeatable current fluctuations were observed within 2 min after acid rain, and such changes were found to correspond well to the changes in rhizospheric organic concentration and electrochemical responses. Such correlation not only can be observed during acid rain events that can be remedied via rinsing, but it was also validated when such damage is irreversible, resulted in zero current, photosynthetic efficiency, and electrochemical signals. The alanine, aspartate, and glutamate metabolism and galactose metabolism in leaves and roots were inhibited by the acid rain, which resulted in the decrease of rhizodeposits such as fumaric acid, d-galactose, and d-glucose. These changes resulted in reduced electroactivity of anodic microorganisms, which was confirmed by a reduced redox current, a narrower spectrum in differential pulse voltammetry, and the loss of peak in the Bode plot. These findings indicate that the RBS process can be a simple, swift, and low-cost monitoring tool for acid rain that allows swift remediation measures, and its potential may be broadened to other environmental monitoring applications.

Original languageEnglish (US)
Pages (from-to)1424-1430
Number of pages7
JournalACS Sensors
Volume3
Issue number7
DOIs
StatePublished - Jul 27 2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Instrumentation
  • Process Chemistry and Technology
  • Fluid Flow and Transfer Processes

Keywords

  • acid rain
  • metabolites
  • rhizodeposits
  • rhizospheric bioelectrochemical sensor
  • rice plant

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  • Cite this

    Li, T., Wang, X., Zhou, Q., Liao, C., Zhou, L., Wan, L., An, J., Du, Q., Li, N., & Ren, Z. J. (2018). Swift Acid Rain Sensing by Synergistic Rhizospheric Bioelectrochemical Responses. ACS Sensors, 3(7), 1424-1430. https://doi.org/10.1021/acssensors.8b00401