Microsensors for Water Monitoring

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "C:Chemistry".

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 3006

Special Issue Editor


E-Mail Website
Guest Editor
Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA
Interests: microsensor for water monitoring; green energy production using Microbial Electrochemical Technologies (MET) and microalgae; 2D materials application; biotechnology and bioprocess

Special Issue Information

Dear Colleagues,

With rapidly developing water monitoring technology, the traditional water analysis methods (e.g., gas chromatography (GC), high performance liquid chromatography (HPLC), and liquid chromatography-mass spectrometry (LC-MS)) have been shifting towards smart water monitoring based on the 4th industrial revolution via microsensor technology with a focus on minimizing the costs of fabrication, fabricating new materials for improving sensor sensitivity, controlling sensor operation remotely, and extending information technology (IT) for big data and machine learning. Expansion of the sensor technology for multi-application (e.g., water quality sensors for phosphate, VOC, sulfide and chloramine, emerging contaminants, heavy metal, and free chlorine analysis; biosensors for pathogenetic bacteria, algal bloom and bacteria community; and hydroxylamine sensors for nitrogen cycling), and for portable device platforms using universal wireless electrochemical detector (UWED) technology for field applications are needed for further research.

The aim of this Special Issue is to cover microsensor applications in water monitoring via sensor fabrication, chemistry, biotechnology, public health, and environmental monitoring. We invite full research papers, review articles and communications covering related topics included in the keywords below. We would like to collect up-to-date research from emerging investigators and pioneers and a collection of comprehensive reviews from leading experts in the field.

Dr. Jae-Hoon Hwang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • microsensor
  • biosensor
  • sensor fabrication and application
  • water quality
  • in-situ analysis

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

12 pages, 2660 KiB  
Article
Direct Mercury Detection in Landfill Leachate Using a Novel AuNP-Biopolymer Carbon Screen-Printed Electrode Sensor
by Jae-Hoon Hwang, David Fox, Jordan Stanberry, Vasileios Anagnostopoulos, Lei Zhai and Woo Hyoung Lee
Micromachines 2021, 12(6), 649; https://doi.org/10.3390/mi12060649 - 1 Jun 2021
Cited by 8 | Viewed by 2548
Abstract
A novel Au nanoparticle (AuNP)-biopolymer coated carbon screen-printed electrode (SPE) sensor was developed through the co-electrodeposition of Au and chitosan for mercury (Hg) ion detection. This new sensor showed successful Hg2+ detection in landfill leachate using square wave anodic stripping voltammetry (SWASV) [...] Read more.
A novel Au nanoparticle (AuNP)-biopolymer coated carbon screen-printed electrode (SPE) sensor was developed through the co-electrodeposition of Au and chitosan for mercury (Hg) ion detection. This new sensor showed successful Hg2+ detection in landfill leachate using square wave anodic stripping voltammetry (SWASV) with an optimized condition: a deposition potential of −0.6 V, deposition time of 200 s, amplitude of 25 mV, frequency of 60 Hz, and square wave step voltage of 4 mV. A noticeable peak was observed at +0.58 V associated with the stripping current of the Hg ion. The sensor exhibited a good sensitivity of ~0.09 μA/μg (~0.02 μA/nM) and a linear response over the concentration range of 10 to 100 ppb (50–500 nM). The limit of detection (LOD) was 1.69 ppb, which is significantly lower than the safety limit defined by the United States Environmental Protection Agency (USEPA). The sensor had an excellent selective response to Hg2+ in landfill leachate against other interfering cations (e.g., Zn2+, Pb2+, Cd2+, and Cu2+). Fifteen successive measurements with a stable peak current and a lower relative standard deviation (RSD = 5.1%) were recorded continuously using the AuNP-biopolymer-coated carbon SPE sensor, which showed excellent stability, sensitivity and reproducibility and consistent performance in detecting the Hg2+ ion. It also exhibited a good reliability and performance in measuring heavy metals in landfill leachate. Full article
(This article belongs to the Special Issue Microsensors for Water Monitoring)
Show Figures

Graphical abstract

Back to TopTop