Evidence map›Paper›PMID 34322795›Full record

ArticleEnvironmental science and pollution research international2021

Spectral characterization of the effect of gas-water ratio on dissolved organic nitrogen variation along a drinking water biological aerated filter.

Jia Kang, Gang-Fu Song, Shu-Li Liu, Chu-Qiong Song, Xu Gao

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. 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
0.4field-weighted citation impact, top 40% 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, 4 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

5 authors at 2 institutions in 2 countries.

Jia KangSchool of Environmental and Municipal Engineering and Key Laboratory of Water Environment Simulation and Governance in Henan Province, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China. angjia@ncwu.edu.cn.
Gang-Fu SongSchool of Environmental and Municipal Engineering and Key Laboratory of Water Environment Simulation and Governance in Henan Province, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
Shu-Li LiuSchool of Environmental and Municipal Engineering and Key Laboratory of Water Environment Simulation and Governance in Henan Province, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
Chu-Qiong SongSchool of Environmental and Municipal Engineering and Key Laboratory of Water Environment Simulation and Governance in Henan Province, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
Xu GaoChongqing Water Group Co., Ltd., Chongqing, 400045, China.
North China University of Water Resources and Electric Power · CNEnvironmental Protection Engineering (Greece) · GR

Funding

High-level Talent Introduction Program of North China University of Water Resources and Electric Power 40518Key Promotion Project of Henan Province 202102310265National High Technology Research and Development Program of China (863Program) 2012AA062607National Natural Science Foundation of China 51708214
6 · The paper itself

Abstract

To improve the understanding of dissolved organic nitrogen (DON) variation characteristics in a biological aerated filter (BAF) used for drinking water treatment, this study investigated the effects of gas-water ratios (0, 0.5:1, 2:1, and 10:1), a controlling factor of BAF operation, on DON characteristics. The dissolved organic carbon (DOC) removal efficiency in the BAF was consistent with DON concentration and increased as the gas-water ratio increased to a certain point, above which the increase gradually decreased. The optimal gas-water ratio in this study was considered to be 2:1 from the perspective of DOC removal and DON reduction. Use of fluorescence regional integration (FRI) and parallel factor (PARAFAC) model to analyze the effects of the gas-water ratio on the spectral characteristics of DON revealed that humic acid-like substances were not sensitive to the gas-water ratio, while protein-like substances were more sensitive. Increasing the gas-water ratio was beneficial to the reduction of biodegradable DON. Correlation analysis showed that the results obtained using FRI were consistent with those obtained using the PARAFAC model under different gas-water ratios.

Indexed as

Drinking WaterWater PurificationHumic SubstancesNitrogenSpectrometry, FluorescenceDrinking WaterHumic SubstancesNitrogenAeration intensityBiological treatment processDissolved organic matterFluorescence regional integrationParallel factor modelThree-dimensional excitation–emission matrix spectroscopy

Identifiers

PMID34322795
OpenAlexW3184559955

What OpenQuestion holds

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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.