Evidence map›Paper›PMID 34641425›Full record

ArticleMolecules (Basel, Switzerland)2021

Utilizing AgNPt-SALDI to Classify Edible Oils by Multivariate Statistics of Triacylglycerol Profile.

Tzu-Ling Yang, Cheng-Liang Huang, Chu-Ping Lee

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. 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. Review
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

3 authors.

Tzu-Ling YangDepartment of Applied Chemistry, National Chiayi University, Chiayi City 60004, Taiwan.
Cheng-Liang HuangDepartment of Applied Chemistry, National Chiayi University, Chiayi City 60004, Taiwan.ORCID 0000-0001-5046-5728
Chu-Ping LeeDepartment of Chemistry, Fu Jen Catholic University, New Taipei City 24205, Taiwan.ORCID 0000-0001-6126-1333

Funding

Ministry of Science and Technology 108-2113-M-415-007-MY2
6 · The paper itself

Abstract

Edible oils are valuable sources of nutrients, and their classification is necessary to ensure high quality, which is essential to food safety. This study reports the establishment of a rapid and straightforward SALDI-TOF MS platform used to detect triacylglycerol (TAG) in various edible oils. Silver nanoplates (AgNPts) were used to optimize the SALDI samples for high sensitivity and reproducibility of TAG signals. TAG fingerprints were combined with multivariate statistics to identify the critical features of edible oil discrimination. Eleven various edible oils were discriminated using principal component analysis (PCA). The results suggested the creation of a robust platform that can examine food adulteration and food fraud, potentially ensuring high-quality foods and agricultural products.

Indexed as

Edible GrainFood AnalysisMetal NanoparticlesPlant OilsPrincipal Component AnalysisSilverSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTriglyceridesPlant OilsSilverTriglyceridesedible oilfingerprintsMALDImultivariate statisticsnanoparticlesprincipal component analysisSALDI

Identifiers

PMID34641425
PMCPMC8510378

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.