Evidence map›Paper›PMID 39456292›Full record

ArticleFoods (Basel, Switzerland)2024

Classification of Sesame Oil Based on Processing-Originated Differences in the Volatile Organic Compound Profile by a Colorimetric Sensor.

Tianyi Liu, Hai-Ming Shi, Untzizu Elejalde, Xiaodong Chen

Abstract 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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Tianyi LiuWilmar Innovation Center, Wilmar International HQ, 28 Biopolis Rd., Singapore 138568, Singapore.
Hai-Ming ShiWilmar (Shanghai) Biotechnology Research & Development Center Co., Ltd., 118 Gao Dong Rd., Shanghai 200137, China.
Untzizu ElejaldeWilmar Innovation Center, Wilmar International HQ, 28 Biopolis Rd., Singapore 138568, Singapore.ORCID 0009-0006-0035-3916
Xiaodong ChenSchool of Materials Science and Engineering, Nanyang Technological University, Block N4.1, 50 Nanyang Ave., Singapore 639798, Singapore.

Funding

Economic Development Board S18-1395-IPP-II
6 · The paper itself

Abstract

Fragrant edible sesame oil is popular for its unique aroma. The aroma of sesame oil is determined by its volatile organic compound (VOC) profile. Sesame oils produced by different techniques could have different VOC profiles. In addition, blending fragrant sesame oil with refined oil could also alter the VOC profile of the final product. Current practices in aroma analysis, such as sensory evaluation and gas chromatography (GC), still face many restraints. Hence, there is a need for alternatives. We present a novel 14-unit multiplexed paper-based colorimetric sensor for fragrant sesame oil VOC analysis. The sensor was designed to visualize the VOC profile as a color "fingerprint". The sensor was validated with 55 branded sesame oil samples produced by two different techniques, i.e., hot pressing and small milling; the experimental results suggested a processing dependency in color VOC fingerprints. The sensor also demonstrated the potential to detect the change in sesame oil VOC profile due to blending with refined oil, with an estimated limit of detection down to 20%

Indexed as

colorimetric sensorhot pressingrefined oilsesame oilsmall millingVOC

Identifiers

PMID39456292
PMCPMC11507991

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LicenceCC BY
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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.