A simple and highly selective electrochemical label-free aptasensor of 17β-estradiol based on signal amplification of bi-functional graphene.

Clicks: 304
ID: 76637
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #68 of 391 articles by views in Talanta

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 391 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
In the present work, a convenient signal-on electrochemical label-free aptasensor for 17β-estradiol (E2), a typical steroidal hormones endocrine disrupting chemicals, was proposed. 6-mercapto-1-hexanol (MCH) self-assembled monolayer (SAM) modified Au (MCH/Au) electrode was used as the substrate electrode. Graphene is used with bi-functions, not only to adsorb E2 binding aptamer, serving as the recognition element to E2, but also to be assembled onto MCH/Au electrode when sensing E2, to controllably turn on the electron transfer (eT), and further indicate the signal to E2 concentration. With the synergistic effect of DNase I enzyme, highly sensitive detection of E2 was achieved at this aptasensing system, with a linear range from 0.07 to 10 pM and a detection limit of 50 fM. An outstanding selectivity towards E2 was proven for the sensing system by simultaneously detecting 100-fold potential co-existing interferences. The stability and reproducibility were also evaluated to be satisfactory. Spiked real water analysis further indicated its reliability and potential in practical environmental monitoring.
Reference Key
liu2019atalanta Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Liu, Meichuan;Ke, Hongyang;Sun, Caiqin;Wang, Guoqiang;Wang, Yu;Zhao, Guohua;
Journal Talanta
Year 2019
DOI
S0039-9140(18)31071-3
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.