Evidence map›Paper›PMID 32784818›Full record

ArticleSensors (Basel, Switzerland)2020

Rapid Non-Destructive Quantification of Eugenol in Curdlan Biofilms by Electronic Nose Combined with Gas Chromatography-Mass Spectrometry.

Lu Han, Jingyi Zhu, Xia Fan, Chong Zhang, Kang Tu, Jing Peng, Jiahong Wang, Leiqing Pan

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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
0.3field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

8 authors at 2 institutions in 1 country.

Lu HanCollege of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Jingyi ZhuCollege of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Xia FanCollege of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Chong ZhangCollege of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0002-7916-5136
Kang TuCollege of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Jing PengCollege of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Jiahong WangCollege of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0002-3089-0847
Leiqing PanCollege of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0001-5587-3544
Nanjing Agricultural University · CNNanjing Forestry University · CN

Funding

National Key R&D Program of China No. 2018YFD0400703
6 · The paper itself

Abstract

Eugenol is hepatotoxic and potentially hazardous to human health. This paper reports on a rapid non-destructive quantitative method for the determination of eugenol concentration in curdlan (CD) biofilms by electronic nose (E-nose) combined with gas chromatography-mass spectrometry (GC-MS). Different concentrations of eugenol were added to the film-forming solution to form a series of biofilms by casting method, and the actual eugenol concentration in the biofilm was determined. Analysis of the odor collected on the biofilms was carried out by GC-MS and an E-nose. The E-nose data was subjected to principal component analysis (PCA) and linear discriminant analysis (LDA) in order to establish a discriminant model for determining eugenol concentrations in the biofilms. Further analyses involving the application of all sensors and featured sensors, the prediction model-based partial least squares (PLS) and support vector machines (SVM) were carried out to determine eugenol concentration in the CD biofilms. The results showed that the optimal prediction model for eugenol concentration was obtained by PLS at R

Indexed as

BiofilmsElectronic NoseGas Chromatography-Mass Spectrometrybeta-GlucansEugenolHumansOdorantsbeta-GlucanscurdlanEugenolbiofilmcurdlanelectronic noseeugenolGC-MSprediction model

Identifiers

PMID32784818
PMCPMC7472399
OpenAlexW3047807544

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.