A Review of the Removal of Dyestuffs from Effluents onto Biochar DOI Creative Commons
Prakash Parthasarathy, Samra Sajjad,

Junaid Saleem

и другие.

Separations, Год журнала: 2022, Номер 9(6), С. 139 - 139

Опубликована: Май 30, 2022

The study provides a review of various applications biomass-derived biochars, waste-derived and modified biochars as adsorbent materials for removing dyestuff from process effluents. Processing significant amounts dye effluent discharges into receiving waters can supply major benefits to countries which are affected by the water crisis anticipated future stress in many areas world. When compared most conventional adsorbents, provide an economically attractive solution. In comparison other textile treatment processes, adsorption technology economic, easily managed, highly effective option. Several tabulated data values provided that summarize main characteristics biochar adsorbents according their ability remove dyestuffs wastewaters.

Язык: Английский

A review of sulfate-reducing bacteria: Metabolism, influencing factors and application in wastewater treatment DOI
Zhao Zhang, Chunhui Zhang, Yang Yang

и другие.

Journal of Cleaner Production, Год журнала: 2022, Номер 376, С. 134109 - 134109

Опубликована: Сен. 15, 2022

Язык: Английский

Процитировано

150

Recent progress on highly efficient removal of heavy metals by layered double hydroxides DOI

Tong He,

Qian Li, Tong Lin

и другие.

Chemical Engineering Journal, Год журнала: 2023, Номер 462, С. 142041 - 142041

Опубликована: Фев. 28, 2023

Язык: Английский

Процитировано

84

Application of perovskite oxides and their composites for degrading organic pollutants from wastewater using advanced oxidation processes: Review of the recent progress DOI
Farzaneh Mahmoudi, K. Saravanakumar,

V. Maheskumar

и другие.

Journal of Hazardous Materials, Год журнала: 2022, Номер 436, С. 129074 - 129074

Опубликована: Май 5, 2022

Язык: Английский

Процитировано

77

Adsorptive removal of heavy metals from aqueous solutions: Progress of adsorbents development and their effectiveness DOI
Usman M. Ismail, Muhammad S. Vohra, Sagheer A. Onaizi

и другие.

Environmental Research, Год журнала: 2024, Номер 251, С. 118562 - 118562

Опубликована: Март 5, 2024

Язык: Английский

Процитировано

56

A dual-ratiometric mitochondria-targeted fluorescent probe to detect hydrazine in soil samples and biological imaging DOI
Pan Liu, Wei-Na Wu, Yuan Wang

и другие.

Journal of Hazardous Materials, Год журнала: 2022, Номер 440, С. 129713 - 129713

Опубликована: Авг. 4, 2022

Язык: Английский

Процитировано

65

Geochemical audit of a historical tailings storage facility in Japan: Acid mine drainage formation, zinc migration and mitigation strategies DOI
Carlito Baltazar Tabelin,

Asuka Uyama,

Shingo Tomiyama

и другие.

Journal of Hazardous Materials, Год журнала: 2022, Номер 438, С. 129453 - 129453

Опубликована: Июнь 24, 2022

Язык: Английский

Процитировано

59

An overview on the corrosion mechanisms and inhibition techniques for amine-based post-combustion carbon capture process DOI
Feng Zhao, Kaixiang Cui, Shoulong Dong

и другие.

Separation and Purification Technology, Год журнала: 2022, Номер 304, С. 122091 - 122091

Опубликована: Сен. 28, 2022

Язык: Английский

Процитировано

44

Polysaccharide hydrogel electrolytes with robust interfacial contact to electrodes for quasi-solid state flexible aqueous zinc ion batteries with efficient suppressing of dendrite growth DOI
Yongqi Deng, Yihan Wu, Lele Wang

и другие.

Journal of Colloid and Interface Science, Год журнала: 2022, Номер 633, С. 142 - 154

Опубликована: Ноя. 22, 2022

Язык: Английский

Процитировано

41

An integrated approach for quantifying source apportionment and source-oriented health risk of heavy metals in soils near an old industrial area DOI
Chang Tan, Hao Wang, Qingchun Yang

и другие.

Environmental Pollution, Год журнала: 2023, Номер 323, С. 121271 - 121271

Опубликована: Фев. 16, 2023

Язык: Английский

Процитировано

41

A hybrid data-driven framework for diagnosing contributing factors for soil heavy metal contaminations using machine learning and spatial clustering analysis DOI
Guoxin Huang, Xiahui Wang, Di Chen

и другие.

Journal of Hazardous Materials, Год журнала: 2022, Номер 437, С. 129324 - 129324

Опубликована: Июнь 9, 2022

Язык: Английский

Процитировано

40