Evidence map›Paper›PMID 36500471›Full record

ArticleMolecules (Basel, Switzerland)2022

New Constructed EEM Spectra Combined with N-PLS Analysis Approach as an Effective Way to Determine Multiple Target Compounds in Complex Samples.

Zeying Li, Na Feng, Xinkang Li, Yuan Lin, Xiangzhi Zhang, Baoqiong Li

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Zeying LiSchool of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, China.
Na FengSchool of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, China.
Xinkang LiSchool of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, China.
Yuan LinSchool of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, China.
Xiangzhi ZhangSchool of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, China.
Baoqiong LiSchool of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, China.

Funding

Baoqiong Li 2018630100180019806Baoqiong Li 2019td09Baoqiong Li 2020030102060005412Na Feng 2018AL002Xiangzhi Zhang 2018AL003
6 · The paper itself

Abstract

Excitation-emission matrix (EEM) fluorescence spectroscopy has been applied to many fields. In this study, a simple method was proposed to obtain the new constructed three-dimensional (3D) EEM spectra based on the original EEM spectra. Then, the application of the N-PLS method to the new constructed 3D EEM spectra was proposed to quantify target compounds in two complex data sets. The quantitative models were established on external sample sets and validated using statistical parameters. For validation purposes, the obtained results were compared with those obtained by applying the N-PLS method to the original EEM spectra and applying the PLS method to the extracted maximum spectra in the concatenated mode. The comparison of the results demonstrated that, given the advantages of less useless information and a high calculating speed of the new constructed 3D EEM spectra, N-PLS on the new constructed 3D EEM spectra obtained better quantitative analysis results with a correlation coefficient of prediction above 0.9906 and recovery values in the range of 85.6-95.6%. Therefore, one can conclude that the N-PLS method combined with the new constructed 3D EEM spectra is expected to be broadened as an alternative strategy for the simultaneous determination of multiple target compounds.

Indexed as

Least-Squares AnalysisSpectrometry, Fluorescencecomplex samplesnew constructed spectraN-way partial least squarespartial least squaresquantitative analysis

Identifiers

PMID36500471
PMCPMC9740148

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.