Evidence map›Paper›PMID 36832065›Full record

ArticleBiosensors2023

Nanobody-Based Sandwich Immunoassay for Pathogenic

Asma Dhehibi, Abdelmounaaim Allaoui, Amal Raouafi, Mohammed Terrak, Balkiss Bouhaouala-Zahar, Mohamed Hammadi, Noureddine Raouafi, Imed Salhi

Abstract read
In one paragraph

Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. 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

8 authors.

Asma DhehibiLivestock and Wildlife Laboratory (LR16IRA04), Arid Lands Institute (I.R.A), University of Gabès, Médenine 4119, Tunisia.
Abdelmounaaim AllaouiLaboratory of Microbiology, African Genome Centre, Mohammed VI Polytechnic University (UM6P), Lot 660-Hay Moulay Rachid, Ben Guerir 43150, Morocco.
Amal RaouafiSensors and Biosensors Group, Analytical Chemistry and Electrochemistry Lab (LR99ES15), University of Tunis El Manar, Tunis El Manar 2092, Tunisia.
Mohammed TerrakInBioS-Centre for Protein Engineering, University of Liege, B-4000 Liege, Belgium.ORCID 0000-0003-3837-6778
Balkiss Bouhaouala-ZaharLaboratory of Venoms and Theranostic Applications (LR20IPT01), Place Pasteur, BP74, Pasteur Institute of Tunis, University of Tunis El Manar, Tunis 1002, Tunisia.ORCID 0000-0003-3147-245X
Mohamed HammadiLivestock and Wildlife Laboratory (LR16IRA04), Arid Lands Institute (I.R.A), University of Gabès, Médenine 4119, Tunisia.
Noureddine RaouafiSensors and Biosensors Group, Analytical Chemistry and Electrochemistry Lab (LR99ES15), University of Tunis El Manar, Tunis El Manar 2092, Tunisia.ORCID 0000-0001-8938-8221
Imed SalhiLivestock and Wildlife Laboratory (LR16IRA04), Arid Lands Institute (I.R.A), University of Gabès, Médenine 4119, Tunisia.ORCID 0000-0001-6445-8748

Funding

Ministry of Higher Education and Scientific Research PRF2017 D4P1
6 · The paper itself

Abstract

Rapid and specific detection of pathogenic bacteria in fecal samples is of critical importance for the diagnosis of neonatal diarrhea in veterinary clinics. Nanobodies are a promising tool for the treatment and diagnosis of infectious diseases due to their unique recognition properties. In this study, we report the design of a nanobody-based magnetofluorescent immunoassay for the sensitive detection of pathogenic

Indexed as

Escherichia coliSingle-Domain AntibodiesEnzyme-Linked Immunosorbent AssayImmunoassaySingle-Domain AntibodiesEscherichia coliF17A fimbriafluorescenceimmunoassaynanobody

Identifiers

PMID36832065
PMCPMC9953962

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.