Evidence map›Paper›PMID 38289550›Full record

ReviewEnvironmental science and pollution research international2024

Deciphering DOM-metal binding using EEM-PARAFAC: Mechanisms, challenges, and perspectives.

Weijun Li, Lei Lu, Huihui Du

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental science and pollution research international, 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
4.2field-weighted citation impact, top 5% 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, 18 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

3 authors at 1 institution in 1 country.

Weijun LiCollege of Environment and Ecology, Hunan Agricultural University, Changsha, 410127, China.
Lei LuCollege of Environment and Ecology, Hunan Agricultural University, Changsha, 410127, China.
Huihui DuCollege of Environment and Ecology, Hunan Agricultural University, Changsha, 410127, China. duhuihui@hunau.edu.cn.ORCID http://orcid.org/0000-0003-4575-6744
Hunan Agricultural University · CN

Funding

National Key Research and Development Program of China (2023YFD1702700National Natural Science Foundation of China No. 41907015Science and Technology Innovation Program of Hunan Province 2023NK2027
6 · The paper itself

Abstract

Dissolved organic matter (DOM) is a pivotal component of the biogeochemical cycles and can combine with metal ions through chelation or complexation. Understanding this process is crucial for tracing metal solubility, mobility, and bioavailability. Fluorescence excitation emission matrix (EEM) and parallel factor analysis (PARAFAC) has emerged as a popular tool in deciphering DOM-metal interactions. In this review, we primarily discuss the advantages of EEM-PARAFAC compared with other algorithms and its main limitations in studying DOM-metal binding, including restrictions in spectral considerations, mathematical assumptions, and experimental procedures, as well as how to overcome these constraints and shortcomings. We summarize the principles of EEM to uncover DOM-metal association, including why fluorescence gets quenched and some potential mechanisms that affect the accuracy of fluorescence quenching. Lastly, we review some significant and innovative research, including the application of 2D-COS in DOM-metal binding analysis, hoping to provide a fresh perspective for possible future hotspots of study. We argue the expansion of EEM applications to a broader range of areas related to natural organic matter. This extension would facilitate our exploration of the mobility and fate of metals in the environment.

Indexed as

Dissolved Organic MatterTrace ElementsFactor Analysis, StatisticalHumic SubstancesMetalsSpectrometry, FluorescenceDissolved Organic MatterHumic SubstancesMetalsTrace Elements2D-COSDissolved organic matterExcitation-emission matrix (EEM)Metal bindingParallel factor analysis (PARAFAC)

Identifiers

PMID38289550
OpenAlexW4391345750

What OpenQuestion holds

Textmetadata
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.