Evidence map›Paper›PMID 34334850›Full record

ReviewTrends in analytical chemistry : TRAC2021

Nanobiotechnology enabled approaches for wastewater based epidemiology.

Asifur Rahman, Seju Kang, Wei Wang, Aditya Garg, Ayella Maile-Moskowitz, Peter J Vikesland

Open access · greenAbstract readReview
In one paragraph

Review in Trends in analytical chemistry : TRAC, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Asifur RahmanDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Seju KangDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Wei WangDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Aditya GargDepartment of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Ayella Maile-MoskowitzDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Peter J VikeslandDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Virginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impacts of the ongoing coronavirus pandemic highlight the importance of environmental monitoring to inform public health safety. Wastewater based epidemiology (WBE) has drawn interest as a tool for analysis of biomarkers in wastewater networks. Wide scale implementation of WBE requires a variety of field deployable analytical tools for real-time monitoring. Nanobiotechnology enabled sensing platforms offer potential as biosensors capable of highly efficient and sensitive detection of target analytes. This review provides an overview of the design and working principles of nanobiotechnology enabled biosensors and recent progress on the use of biosensors in detection of biomarkers. In addition, applications of biosensors for analysis of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus are highlighted as they relate to the potential expanded use of biosensors for WBE-based monitoring. Finally, we discuss the opportunities and challenges in future applications of biosensors in WBE for effective monitoring and investigation of public health threats.

Indexed as

BiomarkersBiosensorsCOVID-19Electrochemical sensingNanobiotechnologyNucleic acid based diagnostic toolsSARS-CoV-2SERSWastewater-based epidemiology

Identifiers

PMID34334850
PMCPMC8317456
OpenAlexW3184752163

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.