Evidence map›Paper›PMID 30275544›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2018

Transmission infrared spectroscopy for rapid quantification of fat, protein, and lactose concentrations in human milk.

Ibrahim Elsohaby, J Trenton McClure, Christopher B Riley, Janet Bryanton, Kathryn Bigsby, R Anthony Shaw

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Article in Journal of perinatology : official journal of the California Perinatal Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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.

Ibrahim ElsohabyDepartment of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, PE, Canada. ielsohaby@upei.ca.ORCID http://orcid.org/0000-0003-2533-988X
J Trenton McClureDepartment of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, PE, Canada.
Christopher B RileyDepartment of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, PE, Canada.ORCID http://orcid.org/0000-0001-8679-7986
Janet BryantonFaculty of Nursing, University of Prince Edward Island, Charlottetown, PE, Canada.
Kathryn BigsbyQueen Elizabeth Hospital, Charlottetown, PE, Canada.
R Anthony ShawNational Research Council of Canada, Medical Devices Research Center, Winnipeg, MB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop partial least squares regression (PLSR) calibration models in combination with transmission infrared (TIR) spectroscopy for rapid and optimal quantification of human milk macronutrient concentrations. STUDY

designHuman milk samples (n = 306) were characterized simultaneously by reference chemical analytical methods and TIR spectroscopy. Reference macronutrient concentrations were linked to pre-processed spectra and divided into two (training and test) sets. PLSR was used to develop trial calibration models using training set, and the test set was used to assess the accuracy of the trial analytical methods.

resultsFor the methods selected as optimal, the concordance correlation coefficients between reference and TIR-based methods were 0.93 for fat, 0.96 for protein, and 0.52 for lactose. The Bland-Altman plots showed no evidence of systematic bias between TIR and reference methods.

conclusionsTIR spectroscopy provides the basis for accurate and rapid quantification of human milk fat and protein concentrations but is less accurate for measuring lactose concentration.

Indexed as

Dietary FatsHumansLactoseLeast-Squares AnalysisMilk, HumanMilk ProteinsSpectrophotometry, InfraredDietary FatsLactoseMilk Proteins

Identifiers

PMID30275544

What OpenQuestion holds

Textmetadata
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Registered trials

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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.