Literature DB >> 27395020

A mini-review on functional nucleic acids-based heavy metal ion detection.

Shenshan Zhan1, Yuangen Wu2, Lumei Wang3, Xuejia Zhan3, Pei Zhou4.   

Abstract

Recent years have witnessed great progress in developing functional nucleic acids (FNAs)-based sensors for the detection of heavy metal ion. In this review, four types of the FNAs that most widely-used in heavy metal ions detection were briefly introduced and a dozen of recently published review articles which summarized those FNAs-based sensors were introduced. Particularly, according to the degree of automation and system integration, those FNAs-based sensors which belong to the lab-on-a-chip (LOC) category were reviewed in more detail by classifying them into six types such as microfluidic LOC system, microchip, lateral flow dipstick, personal glucose meter, microfluidic paper-based analytical devices (μPADs) and disc-based analytical platform. After gave a brief description of the sensing strategies, properties, advantages or disadvantages of these FNAs-based sensors, existing problems and future perspectives were also discussed.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aptamer; DNAzyme; Functional nucleic acids; G-quadruplex; Heavy metal ion detection; Microfluidic sensor

Mesh:

Substances:

Year:  2016        PMID: 27395020     DOI: 10.1016/j.bios.2016.06.075

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  15 in total

1.  Label-free colorimetric assay for arsenic(III) determination based on a truncated short ssDNA and gold nanoparticles.

Authors:  Dongwei Zhang; Yang Liu; Jina Ding; Kashif Hayat; Xuejia Zhan; Pei Zhou; Dan Zhang
Journal:  Mikrochim Acta       Date:  2021-01-11       Impact factor: 5.833

2.  Oligonucleotide-induced regulation of the oxidase-mimicking activity of octahedral Mn3O4 nanoparticles for colorimetric detection of heavy metals.

Authors:  Jiajia Wang; Jinlong Wang; Pei Zhou; Han Tao; Xueli Wang; Yuangen Wu
Journal:  Mikrochim Acta       Date:  2020-01-07       Impact factor: 5.833

Review 3.  DNAzyme sensors for detection of metal ions in the environment and imaging them in living cells.

Authors:  Claire E McGhee; Kang Yong Loh; Yi Lu
Journal:  Curr Opin Biotechnol       Date:  2017-04-28       Impact factor: 9.740

4.  Design of Research on Performance of a New Iridium Coordination Compound for the Detection of Hg2.

Authors:  Hailing Ma; Sang-Bing Tsai
Journal:  Int J Environ Res Public Health       Date:  2017-10-16       Impact factor: 3.390

5.  Paper-Based Sensor Chip for Heavy Metal Ion Detection by SWSV.

Authors:  Xiaoqing Wang; Jizhou Sun; Jianhua Tong; Xin Guan; Chao Bian; Shanhong Xia
Journal:  Micromachines (Basel)       Date:  2018-03-27       Impact factor: 2.891

Review 6.  Bio-Recognition in Spectroscopy-Based Biosensors for *Heavy Metals-Water and Waterborne Contamination Analysis.

Authors:  Alessandra Aloisi; Antonio Della Torre; Angelantonio De Benedetto; Rosaria Rinaldi
Journal:  Biosensors (Basel)       Date:  2019-07-30

7.  Predicting Future Prospects of Aptamers in Field-Effect Transistor Biosensors.

Authors:  Cao-An Vu; Wen-Yih Chen
Journal:  Molecules       Date:  2020-02-05       Impact factor: 4.411

Review 8.  Bio- and Biomimetic Receptors for Electrochemical Sensing of Heavy Metal Ions.

Authors:  Angela Maria Stortini; Maria Antonietta Baldo; Giulia Moro; Federico Polo; Ligia Maria Moretto
Journal:  Sensors (Basel)       Date:  2020-11-28       Impact factor: 3.576

9.  Highly sensitive determination of heavy metals in water prior to and after remediation using Citrofortunella Microcarpa.

Authors:  Shirley T Palisoc; Remuel Isaac M Vitto; Marissa G Noel; Katja T Palisoc; Michelle T Natividad
Journal:  Sci Rep       Date:  2021-01-14       Impact factor: 4.379

Review 10.  Practical Application of Aptamer-Based Biosensors in Detection of Low Molecular Weight Pollutants in Water Sources.

Authors:  Wei Zhang; Qing Xiu Liu; Zhi Hou Guo; Jun Sheng Lin
Journal:  Molecules       Date:  2018-02-07       Impact factor: 4.411

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