Evidence map›Paper›PMID 41012380›Full record

ArticleToxics2025

Discovery of Novel N-[(dimethylamino)methylene]thiourea (TUFA)-Functionalized Lignin for Efficient Cr(VI) Removal from Wastewater.

Haixin Wang, Tao Shen, Yiming Wang, Zongxiang Lv, Yu Liu, Juan Wu, Tai Li, Shui Wang, Yanguo Shang

Abstract read
In one paragraph

Article in Toxics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Haixin WangJiangsu Provincial Key Laboratory of Environmental Engineering, Jiangsu Provincial Academy of Environmental Science, Nanjing 210036, China.
Tao ShenCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 211816, China.
Yiming WangSchool of Chemical Engineering, Zhengzhou University, No. 100 Science Avenue, Zhengzhou 450001, China.
Zongxiang LvJiangsu Provincial Key Laboratory of Environmental Engineering, Jiangsu Provincial Academy of Environmental Science, Nanjing 210036, China.
Yu LiuJiangsu Longhuan Environmental Technology Co., Ltd., Changzhou 210036, China.
Juan WuJiangsu Longhuan Environmental Technology Co., Ltd., Changzhou 210036, China.
Tai LiJiangsu Longhuan Environmental Technology Co., Ltd., Changzhou 210036, China.
Shui WangJiangsu Provincial Key Laboratory of Environmental Engineering, Jiangsu Provincial Academy of Environmental Science, Nanjing 210036, China.
Yanguo ShangCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 211816, China.

Funding

Jiangsu Planned Projects for Postdoctoral Research Funds 2021K339CNational Key Research and Development Program of China 2022YFC3702500Program of National Natural Science Foundation of China 22208155
6 · The paper itself

Abstract

This study developed a novel adsorbent for Cr (VI) removal from wastewater by grafting N-[(dimethylamino)methylene]thiourea (TUFA) onto lignin. The resulting TUFA-functionalized lignin adsorbent AL was comprehensively characterized using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR), nuclear magnetic resonance (NMR), and X-ray photoelectron spectroscopy (XPS). Batch adsorption experiments systematically evaluated the influence of solution pH, contact time, temperature, initial Cr (VI) concentration, and adsorbent dosage. AL exhibited high adsorption capacity (593.9 mg g

Indexed as

amine functionalizationCr(VI) removallignin-based adsorbentreusabilitywastewater treatment

Identifiers

PMID41012380
PMCPMC12473888

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.