Evidence map›Paper›PMID 30558342›Full record

ArticleBiosensors2018

Label-Free SERS Discrimination and In Situ Analysis of Life Cycle in

Niccolò Paccotti, Francesco Boschetto, Satoshi Horiguchi, Elia Marin, Alessandro Chiadò, Chiara Novara, Francesco Geobaldo, Fabrizio Giorgis, Giuseppe Pezzotti

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 27 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Niccolò PaccottiDepartment of Applied Science and Technology, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Turin, Italy. niccolo.paccotti@polito.it.
Francesco BoschettoCeramic Physics Laboratory, Kyoto Institute of Technology, Kyoto 606-8585, Japan. boschetto.cesc@gmail.com.
Satoshi HoriguchiDepartment of Immunology, Kyoto Prefectural University of Medicine, Kyoto 602-0841, Japan. shorigu@koto.kpu-m.ac.jp.
Elia MarinCeramic Physics Laboratory, Kyoto Institute of Technology, Kyoto 606-8585, Japan. elia-marin@kit.ac.jp.
Alessandro ChiadòDepartment of Applied Science and Technology, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Turin, Italy. alessandro.chiado@polito.it.ORCID 0000-0002-3230-8427
Chiara NovaraDepartment of Applied Science and Technology, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Turin, Italy. chiara.novara@polito.it.
Francesco GeobaldoDepartment of Applied Science and Technology, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Turin, Italy. francesco.geobaldo@polito.it.
Fabrizio GiorgisDepartment of Applied Science and Technology, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Turin, Italy. fabrizio.giorgis@polito.it.
Giuseppe PezzottiCeramic Physics Laboratory, Kyoto Institute of Technology, Kyoto 606-8585, Japan. pezzotti@kit.ac.jp.
Politecnico di Torino · ITKyoto Institute of Technology · JPKyoto Prefectural University of Medicine · JPTokyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface enhanced Raman spectroscopy (SERS) has been proven suitable for identifying and characterizing different bacterial species, and to fully understand the chemically driven metabolic variations that occur during their evolution. In this study, SERS was exploited to identify the cellular composition of Gram-positive and Gram-negative bacteria by using mesoporous silicon-based substrates decorated with silver nanoparticles. The main differences between the investigated bacterial strains reside in the structure of the cell walls and plasmatic membranes, as well as their biofilm matrix, as clearly noticed in the corresponding SERS spectrum. A complete characterization of the spectra was provided in order to understand the contribution of each vibrational signal collected from the bacterial culture at different times, allowing the analysis of the bacterial populations after 12, 24, and 48 h. The results show clear features in terms of vibrational bands in line with the bacterial growth curve, including an increasing intensity of the signals during the first 24 h and their subsequent decrease in the late stationary phase after 48 h of culture. The evolution of the bacterial culture was also confirmed by fluorescence microscope images.

Indexed as

Life Cycle StagesBacteriological TechniquesEscherichia coliMetal NanoparticlesMicroscopy, FluorescencePorositySiliconSilverSpectrum Analysis, RamanStaphylococcus epidermidisSurface PropertiesSiliconSilverbiofilmE. colimetal-dielectric nanostructuresS. epidermidisSERS

Identifiers

PMID30558342
PMCPMC6315751
OpenAlexW2904648823

What OpenQuestion holds

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LicenceCC BY
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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.