Evidence map›Paper›PMID 35102204›Full record

ArticleScientific reports2022

Laser induced breakdown spectroscopy for the rapid detection of SARS-CoV-2 immune response in plasma.

K Berlo, W Xia, F Zwillich, E Gibbons, R Gaudiuso, E Ewusi-Annan, G R Chiklis, N Melikechi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 3 institutions in 2 countries.

K BerloDepartment of Earth and Planetary Sciences, GEOTOP Research Centre, McGill University, Montreal, Canada. kim.berlo@mcgill.ca.
W XiaGeriatric Research Education Clinical Center, Bedford VA Healthcare System, Bedford, MA, USA.
F ZwillichDepartment of Earth and Planetary Sciences, GEOTOP Research Centre, McGill University, Montreal, Canada.
E GibbonsDepartment of Earth and Planetary Sciences, GEOTOP Research Centre, McGill University, Montreal, Canada.
R GaudiusoDepartment of Physics and Applied Physics, Kennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA, USA.
E Ewusi-AnnanDepartment of Physics and Applied Physics, Kennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA, USA.
G R ChiklisMRN Diagnostics, Franklin, MA, USA.
N MelikechiDepartment of Physics and Applied Physics, Kennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA, USA.
McGill University · CAUniversity of Massachusetts Lowell · USBoston University · US

Funding

Big data and small molecules for Alzheimer's diseaseRF1AG063913 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI GOLDSTEIN, LEE E., XIA, WEIMING · 2019 to 2021
$2.9M
Canada Foundation for Innovation 33815Clinical Service Research and Development of the Veterans Affairs Office of Research and Development COVID19-8900-06NIA NIH HHS RF1 AG063913NIH HHS RF1AG063913
6 · The paper itself

Abstract

As the SARS-CoV-2 pandemic persists, methods that can quickly and reliably confirm infection and immune status is extremely urgently and critically needed. In this contribution we show that combining laser induced breakdown spectroscopy (LIBS) with machine learning can distinguish plasma of donors who previously tested positive for SARS-CoV-2 by RT-PCR from those who did not, with up to 95% accuracy. The samples were also analyzed by LIBS-ICP-MS in tandem mode, implicating a depletion of Zn and Ba in samples of SARS-CoV-2 positive subjects that inversely correlate with CN lines in the LIBS spectra.

Indexed as

ImmunityLasersPandemicsBariumCOVID-19Data AccuracyDiscriminant AnalysisFalse Negative ReactionsFalse Positive ReactionsHumansMachine LearningReverse Transcriptase Polymerase Chain ReactionSARS-CoV-2Sensitivity and SpecificitySpectrophotometry, AtomicZincBariumZinc

Identifiers

PMID35102204
PMCPMC8803875
OpenAlexW4210427786

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.