Evidence map›Paper›PMID 38201194›Full record

ArticleFoods (Basel, Switzerland)2024

SVR Chemometrics to Quantify β-Lactoglobulin and α-Lactalbumin in Milk Using MIR.

Habeeb Abolaji Babatunde, Joseph Collins, Rianat Lukman, Rose Saxton, Timothy Andersen, Owen M McDougal

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. 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
3.1field-weighted citation impact, top 9% 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, 13 citations in OpenAlex.

  1. Review
  2. Article
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  4. Age Determination ofInsects · 2024
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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

6 authors at 1 institution in 1 country.

Habeeb Abolaji BabatundeComputer Science, Boise State University, Boise, ID 83725, USA.ORCID 0009-0000-2507-6253
Joseph CollinsBiomolecular Sciences Graduate Program, Boise State University, Boise, ID 83725, USA.
Rianat LukmanDepartment of Chemistry and Biochemistry, Boise State University, Boise, ID 83725, USA.
Rose SaxtonDepartment of Chemistry and Biochemistry, Boise State University, Boise, ID 83725, USA.
Timothy AndersenComputer Science, Boise State University, Boise, ID 83725, USA.
Owen M McDougalDepartment of Chemistry and Biochemistry, Boise State University, Boise, ID 83725, USA.ORCID 0000-0002-1502-3462
Boise State University · US

Funding

National Dairy Council N/A
6 · The paper itself

Abstract

Protein content variation in milk can impact the quality and consistency of dairy products, necessitating access to in-line real time monitoring. Here, we present a chemometric approach for the qualitative and quantitative monitoring of β-lactoglobulin and α-lactalbumin, using mid-infrared spectroscopy (MIR). In this study, we employed Hotelling T2 and Q-residual for outlier detection, automated preprocessing using nippy, conducted wavenumber selection with genetic algorithms, and evaluated four chemometric models, including partial least squares, support vector regression (SVR), ridge, and logistic regression to accurately predict the concentrations of β-lactoglobulin and α-lactalbumin in milk. For the quantitative analysis of these two whey proteins, SVR performed the best to interpret protein concentration from 197 MIR spectra originating from 42 Cornell University samples of preserved pasteurized modified milk. The R

Indexed as

chemometricsKennard-Stonesmid-infrared spectroscopypartial least squaressupport vector regressionwhey proteins

Identifiers

PMID38201194
PMCPMC10778881
OpenAlexW4390544135

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.