Evidence map›Paper›PMID 38398532›Full record

ArticleMolecules (Basel, Switzerland)2024

Comparison of Multiple NIR Spectrometers for Detecting Low-Concentration Nitrogen-Based Adulteration in Protein Powders.

Matyas Lukacs, John-Lewis Zinia Zaukuu, George Bazar, Bernhard Pollner, Marietta Fodor, Zoltan Kovacs

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. 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, 11 citations in OpenAlex.

  1. Article
  2. Review
  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

6 authors at 3 institutions in 3 countries.

Matyas LukacsDepartment of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary.
John-Lewis Zinia ZaukuuDepartment of Food Science & Technology, Kwame Nkrumah University of Science & Technology, Kumasi-Ghana 00233, Ghana.ORCID 0000-0002-2058-4416
George BazarCORRELTECH Laboratory, ADEXGO Kft., 1222 Budapest, Hungary.ORCID 0000-0001-9829-4366
Bernhard PollnerIndependent Researcher, 6020 Innsbruck, Austria.ORCID 0000-0002-3759-4450
Marietta FodorDepartment of Food and Analytical Chemistry, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary.ORCID 0000-0001-8647-3201
Zoltan KovacsDepartment of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary.ORCID 0000-0003-0641-8830
Magyar Agrár- és Élettudományi Egyetem · HUKwame Nkrumah University of Science and Technology · GHManagement Center Innsbruck · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein adulteration is a common fraud in the food industry due to the high price of protein sources and their limited availability. Total nitrogen determination is the standard analytical technique for quality control, which is incapable of distinguishing between protein nitrogen and nitrogen from non-protein sources. Three benchtops and one handheld near-infrared spectrometer (NIRS) with different signal processing techniques (grating, Fourier transform, and MEM-micro-electro-mechanical system) were compared with detect adulteration in protein powders at low concentration levels. Whey, beef, and pea protein powders were mixed with a different combination and concentration of high nitrogen content compounds-namely melamine, urea, taurine, and glycine-resulting in a total of 819 samples. NIRS, combined with chemometric tools and various spectral preprocessing techniques, was used to predict adulterant concentrations, while the limit of detection (LOD) and limit of quantification (LOQ) were also assessed to further evaluate instrument performance. Out of all devices and measurement methods compared, the most accurate predictive models were built based on the dataset acquired with a grating benchtop spectrophotometer, reaching R

Indexed as

NitrogenSpectroscopy, Near-InfraredAnimalsCattleFood ContaminationPowdersUreaWheyNitrogenPowdersUreachemometricsfood fraudhandheld NIRSmelaminenear-infrared spectroscopyquality controlwhey protein

Identifiers

PMID38398532
PMCPMC10892823
OpenAlexW4391651339

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.