Evidence map›Paper›PMID 34585287›Full record

ArticleMikrochimica acta2021

Competitive immune-nanoplatforms with positive readout for the rapid detection of imidacloprid using gold nanoparticles.

He Chen, Wanlin Sun, Zhongrong Zhang, Zhexuan Tao, Yuling Qin, Yuan Ding, Limin Wang, Minghua Wang, Xiude Hua

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

He ChenCollege of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China.
Wanlin SunCollege of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China.
Zhongrong ZhangCollege of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China.
Zhexuan TaoCollege of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China.
Yuling QinCollege of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China.
Yuan DingCollege of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China.
Limin WangCollege of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China.
Minghua WangCollege of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China.
Xiude HuaCollege of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China. huaxiude@njau.edu.cn.ORCID http://orcid.org/0000-0003-0557-1892
Nanjing Agricultural University · CN

Funding

fundamental research funds for the central universities KYZ201618national key research and development program of china 2017YFF0210200national natural science foundation of china 31772194
6 · The paper itself

Abstract

Two high-sensitivity competitive immune-nanoplatforms based on the inner filter effect (IFE-IN) and magnetic separation (MS-IN) with a positive readout were developed to rapidly detect imidacloprid (IMI) using gold nanoparticles (AuNPs). For IFE-IN, IMI competes with AuNPs-labeled IMI antigens (IMI-BSA-AuNPs) to bind with anti-IMI monoclonal antibody (mAb)-conjugated NaYF

Indexed as

GoldMetal NanoparticlesNeonicotinoidsNitro CompoundsAntibodies, MonoclonalInsecticidesLimit of DetectionSpectrometry, FluorescenceAntibodies, MonoclonalGoldimidaclopridInsecticidesNeonicotinoidsNitro CompoundsFluorescence detectionGold nanoparticlesImidaclopridImmune-nanoplatformInner filter effectMagnetic separation

Identifiers

PMID34585287
OpenAlexW3203322185

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.