Evidence map›Paper›PMID 34121812›Full record

ArticleSensors and actuators. B, Chemical2021

Multiplexed colorimetric detection of SARS-CoV-2 and other pathogens in wastewater on a 3D printed integrated microfluidic chip.

Kun Yin, Xiong Ding, Zhiheng Xu, Ziyue Li, Xingyu Wang, Hui Zhao, Clifford Otis, Baikun Li, Changchun Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors and actuators. B, Chemical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
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

36 citing papers in PubMed.

  1. Development of a rotating microfluidic device for efficient solid-phase extraction in food analysis.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
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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

9 authors.

Kun YinDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Xiong DingDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Zhiheng XuDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Ziyue LiDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Xingyu WangDepartment of Civil & Environmental Engineering, University of Connecticut, Storrs, CT, 06269-3037, USA.
Hui ZhaoDepartment of Mechanical Engineering, University of Nevada, Las Vegas, NV, 89154, USA.
Clifford OtisDepartment of Civil & Environmental Engineering, University of Connecticut, Storrs, CT, 06269-3037, USA.
Baikun LiDepartment of Civil & Environmental Engineering, University of Connecticut, Storrs, CT, 06269-3037, USA.
Changchun LiuDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, 06030, USA.

Funding

Asymmetric CRISPR Approach for Nucleic Acid QuantificationR01EB023607 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Changchun Liu · 2017 to 2026
$2.4M
Point of Care Diagnostics of HPV-Associated Cervical Cancer in HIV Epidemic Areas in ChinaR01CA214072 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LIU, CHANGCHUN · 2017 to 2021
$771k
NCI NIH HHS R01 CA214072NIBIB NIH HHS R01 EB023607
6 · The paper itself

Abstract

Severe acute respiratory coronavirus 2 (SARS-CoV-2) pandemic has become a global public health emergency. The detection of SARS-CoV-2 and human enteric pathogens in wastewater can provide an early warning of disease outbreak. Herein, a sensitive, multiplexed, colorimetric detection (termed "SMCD") method was established for pathogen detection in wastewater samples. The SMCD method integrated on-chip nucleic acid extraction, two-stage isothermal amplification, and colorimetric detection on a 3D printed microfluidic chip. The colorimetric signal during nucleic acid amplification was recorded in real-time and analyzed by a programmed smartphone without the need for complicated equipment. By combining two-stage isothermal amplification assay into the integrated microfluidic platform, we detected SARS-CoV-2 and human enteric pathogens with sensitivities of 100 genome equivalent (GE)/mL and 500 colony-forming units (CFU)/mL, respectively, in wastewater within one hour. Additionally, we realized smart, connected, on-site detection with a reporting framework embedded in a portable detection platform, which exhibited potential for rapid spatiotemporal epidemiologic data collection regarding the environmental dynamics, transmission, and persistence of infectious diseases.

Indexed as

3D printed integrated microfluidic chipColorimetric detectionHuman enteric pathogensSARS-CoV-2Smartphone-based detection platform

Identifiers

PMID34121812
PMCPMC8183101

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.