Evidence map›Paper›PMID 36031404›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Fast and Reliable Electronic Assay of a Xylella fastidiosa Single Bacterium in Infected Plants Sap.

Lucia Sarcina, Eleonora Macchia, Giuliana Loconsole, Giusy D'Attoma, Paolo Bollella, Michele Catacchio, Francesco Leonetti, Cinzia Di Franco, Vito Elicio, Gaetano Scamarcio and 4 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  4. Review
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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

14 authors at 3 institutions in 1 country.

Lucia SarcinaDipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", Bari, 70125, Italy.
Eleonora MacchiaDipartimento di Farmacia - Scienze del Farmaco, Università degli Studi di Bari "Aldo Moro", Bari, 70125, Italy.ORCID 0000-0002-1534-7336
Giuliana LoconsoleInstitute for Sustainable Plant Protection CNR, Bari, 70125, Italy.
Giusy D'AttomaInstitute for Sustainable Plant Protection CNR, Bari, 70125, Italy.
Paolo BollellaDipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", Bari, 70125, Italy.
Michele CatacchioDipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", Bari, 70125, Italy.
Francesco LeonettiDipartimento di Farmacia - Scienze del Farmaco, Università degli Studi di Bari "Aldo Moro", Bari, 70125, Italy.
Cinzia Di FrancoIstituto di Fotonica e Nanotecnologie CNR, c/o Dipartimento Interateneo di Fisica, Università degli Studi di Bari Aldo Moro, Bari, 70125, Italy.
Vito ElicioAgritest Srl, Tecnopolis, Casamassima, BA, 70010, Italy.
Gaetano ScamarcioIstituto di Fotonica e Nanotecnologie CNR, c/o Dipartimento Interateneo di Fisica, Università degli Studi di Bari Aldo Moro, Bari, 70125, Italy.
Gerardo PalazzoDipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", Bari, 70125, Italy.
Donato BosciaInstitute for Sustainable Plant Protection CNR, Bari, 70125, Italy.
Pasquale SaldarelliInstitute for Sustainable Plant Protection CNR, Bari, 70125, Italy.
Luisa TorsiDipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", Bari, 70125, Italy.ORCID 0000-0002-0798-0780
University of Bari Aldo Moro · ITInstitute for Sustainable Plant Protection · ITIstituto di Fotonica e Nanotecnologie · IT

Funding

CSGIERC Starting Grant 2021 NoOne 101040383H2020-Electronic Smart Systems SiMBiT 824946
6 · The paper itself

Abstract

Pathogens ultra-sensitive detection is vital for early diagnosis and provision of restraining actions and/or treatments. Among plant pathogens, Xylella fastidiosa is among the most threatening as it can infect hundreds of plant species worldwide with consequences on agriculture and the environment. An electrolyte-gated transistor is here demonstrated to detect X. fastidiosa at a limit-of-quantification (LOQ) of 2 ± 1 bacteria in 0.1 mL (20 colony-forming-unit per mL). The assay is carried out with a millimeter-wide gate functionalized with Xylella-capturing antibodies directly in saps recovered from naturally infected plants. The proposed platform is benchmarked against the quantitave polymerase chain reaction (qPCR) gold standard, whose LOQ turns out to be at least one order of magnitude higher. Furthermore, the assay selectivity is proven against the Paraburkholderia phytofirmans bacterium (negative-control experiment). The proposed label-free, fast (30 min), and precise (false-negatives, false-positives below 1%) electronic assay, lays the ground for an ultra-high performing immunometric point-of-care platform potentially enabling large-scale screening of asymptomatic plants.

Indexed as

XylellaElectronicsPlant DiseasesPlantselectrolyte gate organic field-effect transistorsingle bacterium sensingsingle-molecule assay with a large transistor

Identifiers

PMID36031404
PMCPMC9596825
OpenAlexW4293415287

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.