Evidence map›Paper›PMID 37593240›Full record

ArticleACS ES&T water2023

High-Throughput Microfluidic Quantitative PCR Platform for the Simultaneous Quantification of Pathogens, Fecal Indicator Bacteria, and Microbial Source Tracking Markers.

Elizabeth R Hill, Chan Lan Chun, Kerry Hamilton, Satoshi Ishii

Open access · greenAbstract read
In one paragraph

Article in ACS ES&T water, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Simultaneous detection and quantification of multiple pathogen targets in wastewater.medRxiv : the preprint server for health sciences · 2023
    Article
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

4 authors at 2 institutions in 1 country.

Elizabeth R HillWater Resource Science Graduate Program, University of Minnesota, 173 McNeal Hall, 1985 Buford Avenue, St. Paul, Minnesota 55108, United States.
Chan Lan ChunWater Resource Science Graduate Program, University of Minnesota, 173 McNeal Hall, 1985 Buford Avenue, St. Paul, Minnesota 55108, United States.
Kerry HamiltonSchool of Sustainable Engineering and the Built Environment, Arizona State University, 660 S. College Avenue, Tempe, Arizona 85281, United States.ORCID https://orcid.org/0000-0003-2991-7325
Satoshi IshiiWater Resource Science Graduate Program, University of Minnesota, 173 McNeal Hall, 1985 Buford Avenue, St. Paul, Minnesota 55108, United States.ORCID https://orcid.org/0000-0003-3600-9165
University of Minnesota · USCenter for Environmental Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contamination of water with bacterial, viral, and protozoan pathogens can cause human diseases. Both humans and nonhumans can release these pathogens through their feces. To identify the sources of fecal contamination in the water environment, microbial source tracking (MST) approaches have been developed; however, the relationship between MST markers and pathogens is still not well understood most likely due to the lack of comprehensive datasets of pathogens and MST marker concentrations. In this study, we developed a novel microfluidic quantitative PCR (MFQPCR) platform for the simultaneous quantification of 37 previously validated MST markers, two fecal indicator bacteria (FIB), 22 bacterial, 11 viral, and five protozoan pathogens, and three internal amplification/process controls in many samples. The MFQPCR chip was applied to analyze pathogen removal rates during the wastewater treatment processes. In addition, multiple host-specific MST markers, FIB, and pathogens were successfully quantified in human and avian-impacted surface waters. While the genes for pathogens were relatively infrequently detected, positive correlations were observed between some potential pathogens such as

Identifiers

PMID37593240
PMCPMC10428101
OpenAlexW4385222576

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.