Evidence map›Paper›PMID 35540241›Full record

ArticleRSC advances2019

Rapid screening and quantification of multi-class antibiotic pollutants in water using a planar waveguide immunosensor.

Tianmu Zhang, Yijun Li, Chunfei Chen, Xiaoping Liu, Yan Tian, Siyu Zeng, Miao He

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

7 authors at 2 institutions in 1 country.

Tianmu ZhangCenter for Sensor Technology of Environment and Health, Tsinghua University Beijing 100084 China liyijun14@mails.tsinghua.edu.cn.
Yijun LiCenter for Sensor Technology of Environment and Health, Tsinghua University Beijing 100084 China liyijun14@mails.tsinghua.edu.cn.ORCID https://orcid.org/0000-0002-5141-7987
Chunfei ChenGuangxi Environmental Monitoring Centre Nanning 530028 China.
Xiaoping LiuGuangxi Environmental Monitoring Centre Nanning 530028 China.
Yan TianGuangxi Environmental Monitoring Centre Nanning 530028 China.
Siyu ZengState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University Beijing 100084 China.
Miao HeCenter for Sensor Technology of Environment and Health, Tsinghua University Beijing 100084 China liyijun14@mails.tsinghua.edu.cn.
State Key Joint Laboratory of Environment Simulation and Pollution Control · CNNanning Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotics are commonly used in livestock-related agriculture and aquaculture, but they also remain in water and potentially threaten human health. Immunosensors are attractive tools for the rapid detection of antibiotics in water due to their high sensitivity and low costs. However, the simultaneous detection of multi-class antibiotics remains a challenge due to the limited number of detection sites on the immunochip. Also, matrix effects hinder the practical application of these sensors. This paper presents a method for multi-class antibiotic detection in real water using a planar waveguide immunosensor (PWI). We integrate the screening and quantitive detection sites on the same immunochip, and a single screening detection site could detect multi-class antibiotics from the same family, increasing the detection types of analytes. In addition, to eliminate the matrix effects, we develop a testing buffer for real water detection, so that complex pretreatments of the samples can be omitted. Using our sensor and testing buffer, we detect 14 different antibiotics in real water. Lincomycin can be detected with a detection limit of 0.01 μg L

Identifiers

PMID35540241
PMCPMC9075870
OpenAlexW2989580252

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.