Evidence map›Paper›PMID 34065971›Full record

ReviewSensors (Basel, Switzerland)2021

Recent Advancements in Enzyme-Based Lateral Flow Immunoassays.

Donato Calabria, Maria Maddalena Calabretta, Martina Zangheri, Elisa Marchegiani, Ilaria Trozzi, Massimo Guardigli, Elisa Michelini, Fabio Di Nardo, Laura Anfossi, Claudio Baggiani and 1 more

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. A Two-Stage Cascading Amplification Strategy Based on ZnAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

11 authors.

Donato CalabriaDepartment of Chemistry "Giacomo Ciamician", Alma Mater Studiorum-University of Bologna, Via Selmi 2, 40126 Bologna, Italy.ORCID 0000-0002-8215-9458
Maria Maddalena CalabrettaDepartment of Chemistry "Giacomo Ciamician", Alma Mater Studiorum-University of Bologna, Via Selmi 2, 40126 Bologna, Italy.
Martina ZangheriDepartment of Chemistry "Giacomo Ciamician", Alma Mater Studiorum-University of Bologna, Via Selmi 2, 40126 Bologna, Italy.
Elisa MarchegianiDepartment of Chemistry "Giacomo Ciamician", Alma Mater Studiorum-University of Bologna, Via Selmi 2, 40126 Bologna, Italy.
Ilaria TrozziDepartment of Chemistry "Giacomo Ciamician", Alma Mater Studiorum-University of Bologna, Via Selmi 2, 40126 Bologna, Italy.
Massimo GuardigliDepartment of Chemistry "Giacomo Ciamician", Alma Mater Studiorum-University of Bologna, Via Selmi 2, 40126 Bologna, Italy.
Elisa MicheliniDepartment of Chemistry "Giacomo Ciamician", Alma Mater Studiorum-University of Bologna, Via Selmi 2, 40126 Bologna, Italy.ORCID 0000-0002-8651-0575
Fabio Di NardoDepartment of Chemistry, University of Turin, Via P. Giuria 5, 10125 Turin, Italy.ORCID 0000-0003-0497-4251
Laura AnfossiDepartment of Chemistry, University of Turin, Via P. Giuria 5, 10125 Turin, Italy.ORCID 0000-0002-2920-0140
Claudio BaggianiDepartment of Chemistry, University of Turin, Via P. Giuria 5, 10125 Turin, Italy.ORCID 0000-0003-1024-2532
Mara MirasoliDepartment of Chemistry "Giacomo Ciamician", Alma Mater Studiorum-University of Bologna, Via Selmi 2, 40126 Bologna, Italy.

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca 2017YER72K
6 · The paper itself

Abstract

Paper-based lateral-flow immunoassays (LFIAs) have achieved considerable commercial success and their impact in diagnostics is continuously growing. LFIA results are often obtained by visualizing by the naked eye color changes in given areas, providing a qualitative information about the presence/absence of the target analyte in the sample. However, this platform has the potential to provide ultrasensitive quantitative analysis for several applications. Indeed, LFIA is based on well-established immunological techniques, which have known in the last year great advances due to the combination of highly sensitive tracers, innovative signal amplification strategies and last-generation instrumental detectors. All these available progresses can be applied also to the LFIA platform by adapting them to a portable and miniaturized format. This possibility opens countless strategies for definitively turning the LFIA technique into an ultrasensitive quantitative method. Among the different proposals for achieving this goal, the use of enzyme-based immunoassay is very well known and widespread for routine analysis and it can represent a valid approach for improving LFIA performances. Several examples have been recently reported in literature exploiting enzymes properties and features for obtaining significative advances in this field. In this review, we aim to provide a critical overview of the recent progresses in highly sensitive LFIA detection technologies, involving the exploitation of enzyme-based amplification strategies. The features and applications of the technologies, along with future developments and challenges, are also discussed.

Indexed as

ImmunoassayImmunoenzyme Techniqueschemiluminescencecolorimetricenzymelateral flow immunoassaymetal nanoparticlesnanozymepoint-of-care

Identifiers

PMID34065971
PMCPMC8150770

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.