Evidence map›Paper›PMID 42110769›Full record

ArticleACS omega2026

Process Optimization and Structural Analysis of Humic Acid Extracted from Low-Rank Coal in Xinjiang, China.

Gaosong Lai, Guang Li, Xi Wang, Aikeremu Keremu, Shuqi Ma, Chuanxiang Zhang

Abstract read
In one paragraph

Article in ACS omega, 2026. 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

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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.

Gaosong LaiHenan Key Laboratory of Coal Green Conversion, School of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo 454003, China.ORCID https://orcid.org/0009-0005-8647-6185
Guang LiHenan Key Laboratory of Coal Green Conversion, School of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo 454003, China.
Xi WangSchool of Chemical Engineering, Xinjiang Railway Vocational and Technical College, Hami 839000, China.
Aikeremu KeremuSchool of Chemical Engineering, Xinjiang Railway Vocational and Technical College, Hami 839000, China.
Shuqi MaHenan Key Laboratory of Coal Green Conversion, School of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo 454003, China.ORCID https://orcid.org/0000-0003-4826-7110
Chuanxiang ZhangHenan Key Laboratory of Coal Green Conversion, School of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo 454003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Xinjiang, China, has abundant coal resources with a high proportion of low-rank coal; however, these resources are still mainly utilized as fuel, and their level of high-value utilization remains limited. Humic acids are important functional organic components in low-rank coal and exhibit significant application potential in the high-value-added utilization of coal resources. In this study, lignite samples collected from four regions in XinjiangAkesu, Naomaohu, Dananhu, and Santanghuwere used as raw materials for humic acid extraction via an alkaline hydrothermal method, and the extraction process was optimized by using an orthogonal experimental design. The effects of the extraction temperature, extraction time, alkali concentration, and solid-to-liquid ratio on humic acid yield were systematically investigated through intuitive analysis and range analysis. Under the optimized conditions, the humic acid yields obtained from Akesu, Naomaohu, Dananhu, and Santanghu lignite reached 76.31%, 64.98%, 41.33%, and 63.53%, respectively. Furthermore, the structural characteristics of the extracted humic acids were characterized by elemental analysis, acidic functional group determination, UV-vis spectroscopy, FT-IR, X-ray diffraction, and XPS. The results showed clear differences in aromaticity and structural condensation among humic acids from different regions, with Santanghu-humic acid exhibiting the highest aromaticity. This study provides an optimized alkaline hydrothermal extraction process for humic acid and a theoretical basis for the high-value and functional utilization of low-rank coal in Xinjiang.

Identifiers

PMID42110769
PMCPMC13150604

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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.