Evidence map›Paper›PMID 34206584›Full record

ArticleMolecules (Basel, Switzerland)2021

Simultaneous Quantification of Ampicillin and Kanamycin in Water Samples Based on Lateral Flow Aptasensor Strip with an Internal Line.

Jinbiao Lin, Ang Shi, Ziwu Zheng, Long Huang, Yixin Wang, Honggui Lin, Xuexia Lin

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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.

Jinbiao LinProvincial Key Laboratory of Naval Architecture & Ocean Engineering, Marine Engineering College, Jimei University, Xiamen 361021, China.
Ang ShiProvincial Key Laboratory of Naval Architecture & Ocean Engineering, Marine Engineering College, Jimei University, Xiamen 361021, China.
Ziwu ZhengProvincial Key Laboratory of Naval Architecture & Ocean Engineering, Marine Engineering College, Jimei University, Xiamen 361021, China.
Long HuangCNTAC Testing Services Co., Ltd., Quanzhou 362700, China.
Yixin WangShanghai WEIPU Chemical Technology Service Co., Ltd., Shanghai 200000, China.
Honggui LinProvincial Key Laboratory of Naval Architecture & Ocean Engineering, Marine Engineering College, Jimei University, Xiamen 361021, China.
Xuexia LinDepartment of Chemical Engineering & Pharmaceutical Engineering, College of Chemical Engineering, Huaqiao University, Xiamen 361021, China.ORCID 0000-0002-4761-6844
Jimei University · CNHuaqiao University · CN

Funding

Fujian Science and Technology Project 2019I0014; 2020H0018; 2019H6017; 2019H0020; No.2018J01494; 2018J01498
6 · The paper itself

Abstract

In this work, a simple and rapid method based on the lateral flow assay (LFA) has been developed for the detection of dual antibiotics. To achieve the quantitative assay and to reduce the non-specific adsorption, an internal system has been developed. A non-specific DNA was exploited as an internal standard and could be recognized by the DNA marker that was coated at the internal line. Two different kinds of aptamers were applied to recognize ampicillin (AMP) and kanamycin (KAM), and the distance between the detection line and conjugate pad was then optimized. Under the optimum conditions, the quantitative assays of AMP (R

Indexed as

AmpicillinAptamers, NucleotideKanamycinWaterAmpicillinAptamers, NucleotideKanamycinWaterampicillinaptamerkanamycinlateral flow assaywater

Identifiers

PMID34206584
PMCPMC8270245
OpenAlexW3176132937

What OpenQuestion holds

Textmetadata
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.