Evidence map›Paper›PMID 28271376›Full record

ArticleLasers in medical science2017

Quantifying glucose and lipid components in human serum by Raman spectroscopy and multivariate statistics.

Landulfo Silveira, Rita de Cássia Fernandes Borges, Ricardo Scarparo Navarro, Hector Enrique Giana, Renato Amaro Zângaro, Marcos Tadeu Tavares Pacheco, Adriana Barrinha Fernandes

Abstract read
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In one paragraph

Article in Lasers in medical science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed, 48 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

7 authors at 3 institutions in 1 country.

Landulfo SilveiraBiomedical Engineering Center, Universidade Anhembi Morumbi - UAM, Parque Tecnológico de São José dos Campos, Estr. Dr. Altino Bondensan, 500, São José dos Campos, 12247-016, SP, Brazil. landulfo.silveira@gmail.com.
Rita de Cássia Fernandes BorgesGraduate Program in Biomedical Engineering, Universidade Brasil, Rua Carolina Fonseca, 584, São Paulo, 08230-030, SP, Brazil.
Ricardo Scarparo NavarroGraduate Program in Biomedical Engineering, Universidade Brasil, Rua Carolina Fonseca, 584, São Paulo, 08230-030, SP, Brazil.
Hector Enrique GianaLaboratório Oswaldo Cruz, Praça Cândida Maria C. Sawaya Giana, 128, São José dos Campos, 12243-003, SP, Brazil.
Renato Amaro ZângaroBiomedical Engineering Center, Universidade Anhembi Morumbi - UAM, Parque Tecnológico de São José dos Campos, Estr. Dr. Altino Bondensan, 500, São José dos Campos, 12247-016, SP, Brazil.
Marcos Tadeu Tavares PachecoBiomedical Engineering Center, Universidade Anhembi Morumbi - UAM, Parque Tecnológico de São José dos Campos, Estr. Dr. Altino Bondensan, 500, São José dos Campos, 12247-016, SP, Brazil.
Adriana Barrinha FernandesBiomedical Engineering Center, Universidade Anhembi Morumbi - UAM, Parque Tecnológico de São José dos Campos, Estr. Dr. Altino Bondensan, 500, São José dos Campos, 12247-016, SP, Brazil.
Anhembi Morumbi University · BRUniversidade Brasil · BRFaculdades Oswaldo Cruz · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raman spectroscopy has been employed in the quantitative analysis of biochemical components in human serum. This study aimed to develop a spectral model to estimate the concentration of glucose and lipid fractions in human serum, thus evaluating the feasibility of Raman spectroscopy technique for diagnostic purposes. A total of 44 samples of blood serum were collected from volunteers submitted to routine blood biochemical assay analysis. The biochemical concentrations of glucose, triglycerides, cholesterol, and high-density and low-density lipoproteins (HDL and LDL) were obtained by colorimetric method. Serum samples (200 μL) were submitted to Raman spectroscopy (830 nm, 250 mW, 50-s accumulation). The spectra of sera present peaks related to the main constituents, particularly proteins and lipids. A quantitative model based on partial least squares (PLS) regression has been developed to estimate the concentration of these compounds, taking the biochemical concentrations assayed by the colorimetric method as sample's actual concentrations. The PLS model based on leave-one-out cross-validation approach estimated the concentration of triglycerides and cholesterol with r = 0.98 and 0.96, and root mean square error of 35.4 and 15.9 mg/dL, respectively. For the other biochemicals, the r was ranging from 0.75 to 0.86. These results evidenced the possibility of performing biochemical assay in blood serum samples by Raman spectroscopy and PLS regression and may be employed as a means of diagnosis in routine clinical analysis.

Indexed as

Blood GlucoseColorimetryHumansLeast-Squares AnalysisLipidsMultivariate AnalysisReference StandardsSpectrum Analysis, RamanBlood GlucoseLipidsCholesterolGlucoseHDLHuman serumLDLRaman spectroscopyTriglycerides

Identifiers

PMID28271376
OpenAlexW2593371099

What OpenQuestion holds

Textmetadata
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.