Evidence map›Paper›PMID 36828428›Full record

ArticleToxins2023

Aggregation-Induced Red Emission Nanoparticle-Based Lateral Flow Immunoassay for Highly Sensitive Detection of Staphylococcal Enterotoxin A.

Hanpeng Xiong, Ping Chen, Xirui Chen, Xuanang Shen, Xiaolin Huang, Yonghua Xiong, Yu Su

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxins, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

1 citing paper in PubMed, 18 citations in OpenAlex.

  1. 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 1 institution in 1 country.

Hanpeng XiongState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China.
Ping ChenState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China.
Xirui ChenState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China.
Xuanang ShenState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China.
Xiaolin HuangState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China.ORCID 0000-0002-8908-0443
Yonghua XiongState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China.ORCID 0000-0001-5141-0841
Yu SuState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China.
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Staphylococcal enterotoxin A (SEA) has presented enormous difficulties in dairy food safety and the sensitive detection of SEA provides opportunities for effective food safety controls and staphylococcal food poisoning tracebacks. Herein, a novel aggregation-induced emission (AIE)-based sandwich lateral flow immunoassay (LFIA) was introduced to detect SEA by using red-emissive AIE nanoparticles (AIENPs) as the fluorescent nanoprobe. The nanoprobe was constructed by directly immobilising antibodies on boronate-tagged AIENPs (PBA-AIENPs) via a boronate affinity reaction, which exhibited a high SEA-specific affinity and remarkable fluorescent performance. Under optimal conditions, the ultrasensitive detection of SEA in pasteurised milk was achieved within 20 min with a limit of detection of 0.04 ng mL

Indexed as

Metal NanoparticlesNanoparticlesAnimalsEnterotoxinsGoldImmunoassayLimit of DetectionMilkenterotoxin A, StaphylococcalEnterotoxinsGoldaggregation-induced emissionboronate affinity reactionlateral flow immunoassaystaphylococcal enterotoxin A

Identifiers

PMID36828428
PMCPMC9964500
OpenAlexW4318464476

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.