Development of a paper-based method to detect Hg in waste water using iturin from Bacillus subtilis.

Development of a paper-based method to detect Hg in waste water using iturin from Bacillus subtilis.

Zhao, Xixi;Ai, Chongyang;Li, Zhenzhu;Xu, Xiaoguang;Zhao, Haobin;Yan, Lu;Jiang, Chunmei;Shao, Dongyan;Shi, Junling;
Applied microbiology and biotechnology 2019 Vol. 103 pp. 8609-8618
199
zhao2019developmentapplied

Abstract

Colorimetric, fluorescence, and paper-based method were developed to measure the Hg level in water using iturin A, a lipopeptide produced by Bacillus subtilis. Firstly, iturin was used to synthesize highly stable and uniformly sized silver nanoparticles (AgNPs). Secondly, the iturin-AgNPs were found to be highly selective and sensitive to Hg. The absorbance of the reaction system showed a good linear correlation with the Hg concentration from 0.5 to 5 mg/L at 450 nm in the UV-Vis spectroscopy detection with the limit of detection (LOD) of 0.5 mg/L. When the reaction system was detected by fluorescence measurement, a good linear relationship was found between the fluorescence intensity and Hg concentration from 0.05 to 0.5 mg/ at 415 nm with the LOD of 0.05 mg/L. Lastly, a paper-based detection method was developed. The developed method was successfully used to detect Hg in contaminated polluted waters and showed acceptable results in terms of sensitivity, selectivity and stability. The paper-based method could distinguish Hg at levels higher than 0.05 mg/L, thereby meeting the guidelines of the effluent quality standard for industries (0.05 mg/L). In summary, this method can be used daily by various industries to monitor the Hg level in effluent water.

Citation

ID: 73252
Ref Key: zhao2019developmentapplied
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
73252
Unique Identifier:
10.1007/s00253-019-10109-5
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet