Evidence map›Paper›PMID 39439495›Full record

ArticleExploration (Beijing, China)2024

Detection of biological loads in sewage using the automated robot-driven photoelectrochemical biosensing platform.

Yiming Zhang, Zhi Chen, Songrui Wei, Yujun Zhang, Hai Fu, Han Zhang, Defa Li, Zhongjian Xie

Abstract read
In one paragraph

Article in Exploration (Beijing, China), 2024. 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
–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

8 citing papers in PubMed.

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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

8 authors.

Yiming ZhangDepartment of Laboratory Medicine Shenzhen Children's Hospital Shenzhen People's Republic of China.
Zhi ChenInternational Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology of Ministry of Education Institute of Microscale Optoelectronics Shenzhen University Shenzhen People's Republic of China.
Songrui WeiInternational Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology of Ministry of Education Institute of Microscale Optoelectronics Shenzhen University Shenzhen People's Republic of China.
Yujun ZhangDepartment of Laboratory Medicine Shenzhen Children's Hospital Shenzhen People's Republic of China.
Hai FuDepartment of Laboratory Medicine Shenzhen Children's Hospital Shenzhen People's Republic of China.
Han ZhangInternational Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology of Ministry of Education Institute of Microscale Optoelectronics Shenzhen University Shenzhen People's Republic of China.
Defa LiDepartment of Laboratory Medicine Shenzhen Children's Hospital Shenzhen People's Republic of China.
Zhongjian XieDepartment of Laboratory Medicine Shenzhen Children's Hospital Shenzhen People's Republic of China.ORCID https://orcid.org/0000-0002-4328-1303

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time polymerase chain reaction (RT-PCR) remains the most prevalent molecular detection technology for sewage analysis but is plagued with numerous disadvantages, such as time consumption, high manpower requirements, and susceptibility to false negatives. In this study, an automated robot-driven photoelectrochemical (PEC) biosensing platform is constructed, that utilizes the CRISPR/Cas12a system to achieve fast, ultrasensitive, high specificity detection of biological loads in sewage. The Shennong-1 robot integrates several functional modules, involving sewage sampling and pretreatment to streamline the sewage monitoring. A screen-printed electrode is employed with a vertical graphene-based working electrode and enhanced with surface-deposited Au nanoparticles (NPs). CdTe/ZnS quantum dots (QDs) are further fabricated through the double-stranded DNA (dsDNA) anchored on Au NPs. Using the cDNA template of Omicron BA.5 spike gene as a model, the PEC biosensor demonstrates excellent analytical performance, with a lower detection limit of 2.93 × 10

Indexed as

CRISPR/Cas12a systemnucleic acid detectionphotoelectrochemical biosensorrobot automationsewage monitoring

Identifiers

PMID39439495
PMCPMC11491307

What OpenQuestion holds

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LicenceCC BY
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.