Evidence map›Paper›PMID 30792483›Full record

ArticleScientific reports2019

Laser-induced breakdown spectroscopy (LIBS) as a novel technique for detecting bacterial infection in insects.

Nabil Killiny, Ed Etxeberria, Alejandro Ponce Flores, Pedro Gonzalez Blanco, Teresa Flores Reyes, Luis Ponce Cabrera

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

6 authors at 3 institutions in 2 countries.

Nabil KillinyUniversity of Florida, Citrus Research and Education Center, 700 Experiment Station Road, Lake Alfred, FL, USA. nabilkilliny@ufl.edu.
Ed EtxeberriaUniversity of Florida, Citrus Research and Education Center, 700 Experiment Station Road, Lake Alfred, FL, USA.
Alejandro Ponce FloresUniversidad Nacional Autonoma de Mexico, Fac. De Ciencias, Universidad 3000, Circuito Exterior S/N, Distrito Federal, 04510, Mexico.
Pedro Gonzalez BlancoUniversity of Florida, Citrus Research and Education Center, 700 Experiment Station Road, Lake Alfred, FL, USA.
Teresa Flores ReyesUniversity of Florida, Citrus Research and Education Center, 700 Experiment Station Road, Lake Alfred, FL, USA.
Luis Ponce CabreraUniversity of Florida, Citrus Research and Education Center, 700 Experiment Station Road, Lake Alfred, FL, USA.
Florida Department of Citrus · USUniversity of Florida · USUniversidad Nacional Autónoma de México · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To prevent the spread of diseases in humans, animals or plants, determining whether potential vectors are infected is crucial. For example, early detection of the citrus disease Huanglongbing, which has been a scourge on the citrus industries around the world, is a critical need. This vector-borne disease is transmitted by Diaphorina citri, the Asian citrus psyllid, which carries the putative bacterial phytopathogen, Candidatus Liberibacter asiaticus (CLas). In this investigation, we introduced Laser-Induced Breakdown Spectroscopy (LIBS) to reveal key biochemical differences between CLas-infected and non-infected psyllids. The emission spectra captured from laser ablation of CLas-infected and healthy psyllids were processed through the principal component analysis (PCA) method and compared. Thirteen peaks from seven different elements were detected in D. citri. The t-test showed that CLas-infected D. citri were deficients in zinc, iron, copper, magnesium, calcium, and nitrogen. The PCA showed that LIBS can successfully differentiate between CLas-infected and healthy D. citri by comparing their elemental profile. In this work, we demonstrated a method that allows for a fast and precise compositional microanalysis of an insect vector which can contribute to the early detection of citrus huanglongbing.

Indexed as

AnimalsBacterial InfectionsCitrusEarly DiagnosisHemipteraInsect VectorsLasersPlant DiseasesRhizobiaceaeSensitivity and SpecificitySpectrum Analysis

Identifiers

PMID30792483
PMCPMC6385218
OpenAlexW2917476164

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.