Evidence map›Paper›PMID 35932340›Full record

ArticleMikrochimica acta2022

Smartphone-based paper microfluidic competitive immunoassay for the detection of α-amanitin from mushrooms.

Yan Liang, Avory Zhou, Candace S Bever, Luisa W Cheng, Jeong-Yeol Yoon

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2022. 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
2.0field-weighted citation impact, top 13% 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, 13 citations in OpenAlex.

  1. Article
  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

5 authors at 2 institutions in 1 country.

Yan LiangDepartment of Chemistry and Biochemistry, The University of Arizona, Tucson, AZ, USA.
Avory ZhouDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, USA.
Candace S BeverFoodborne Toxin Detection and Prevention Research Unit, Department of Agriculture, Agricultural Research Service, Western Regional Research Center, Albany, CA, USA.
Luisa W ChengFoodborne Toxin Detection and Prevention Research Unit, Department of Agriculture, Agricultural Research Service, Western Regional Research Center, Albany, CA, USA.
Jeong-Yeol YoonDepartment of Chemistry and Biochemistry, The University of Arizona, Tucson, AZ, USA. jyyoon@arizona.edu.ORCID http://orcid.org/0000-0002-9720-6472
University of Arizona · USWestern Regional Research Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

α-Amanitin is often considered the most poisonous mushroom toxin produced by various mushroom species, which are hard to identify from edible, non-toxic mushrooms. Conventional detection methods require expensive and bulky equipment or fail to meet high analytical sensitivity. We developed a smartphone-based fluorescence microscope platform to detect α-amanitin from dry mushroom tissues. Antibody-nanoparticle conjugates were captured by immobilized antigen-hapten conjugates while competing with the free analytes in the sample. Captured fluorescent nanoparticles were excited at 460 nm and imaged at 500 nm. The pixel numbers of such nanoparticles in the test zone were counted, showing a decreasing trend with increasing analyte concentration. The detection method exhibited a low detection limit (1 pg/mL), high specificity, and selectivity, allowing us to utilize a simple rinsing for toxin extraction and avoiding the need for high-speed centrifugation. In addition, this assay's short response time and portable features enable field detection of α-amanitin from amanitin-producing mushrooms.

Indexed as

Alpha-AmanitinToxins, BiologicalAmanitaImmunoassayMicrofluidicsSmartphoneAlpha-AmanitinToxins, BiologicalAmatoxinCompetitive immunoassayMushroom toxinPaper-based microfluidic chipSmartphone microscopeα-AMA

Identifiers

PMID35932340
OpenAlexW4290072616

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.