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Photocatalytic reduction of CO2 to sustainable hydrocarbon fuel using Bi2S3-incorporated CuMoO4 photocatalyst.

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Title: Photocatalytic reduction of CO2 to sustainable hydrocarbon fuel using Bi2S3-incorporated CuMoO4 photocatalyst.
Authors: Dey, Akshay Kumar1,2 (AUTHOR), Mandal, Kallol Kumar1 (AUTHOR), Bisai, Raju1 (AUTHOR), Chakrabarti, Rajashree1 (AUTHOR), Bachhar, Sourav3 (AUTHOR), Sarkar, Sayan3 (AUTHOR), Maity, Ramananda3 (AUTHOR), Pal, Kuntal3 (AUTHOR), Kamila, Biswajit1 (AUTHOR) bkchemengg@caluniv.ac.in, Mandal, Arindam1 (AUTHOR) amchemengg@caluniv.ac.in
Source: Journal of Materials Science. Aug2026, Vol. 61 Issue 32, p23948-23968. 21p.
Abstract: Innovative tactics for environmental remediation through carbon management are vital due to the growing problems imposed by pollution and climate change. To protect the environment, heterojunction-based photocatalytic systems have become a probable technology for CO2 reduction to sustainable hydrocarbon fuels generation and sustainable waste degradation. In this study, various Bi2S3/CuMoO4 heterojunction photocatalysts are synthesized using hydrothermal treatment and characterized by XRD, SEM, TEM, BET, UV–Vis, PL, EIS, and XPS analyses. In particular, the role of Bi2S3 with different weight percentage loading onto CuMoO4 is investigated. Among all synthesized photocatalysts, the optimum 5wt% Bi2S3/CuMoO4 photocatalyst exhibiting an enhanced visible light absorption capacity with the tunable bandgap energy of 1.71 eV offers selective photoreduction of CO2 to methanol as a sustainable fuel up to 306.7 µmol gcat−1 h−1. The renewable product obtained from photocatalytic CO2 reduction study is analysed and quantified by NMR spectroscopy. Despite a multi-cycle run up to three cycles, the direct Z-scheme interphase layer of 5wt% Bi2S3/CuMoO4 heterojunction photocatalyst promotes higher charge separation and electron transfer to the surface reactive zones for reducing the trapped CO2 to 100% selective methanol formation. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Materials Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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– Name: Abstract
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  Data: Innovative tactics for environmental remediation through carbon management are vital due to the growing problems imposed by pollution and climate change. To protect the environment, heterojunction-based photocatalytic systems have become a probable technology for CO2 reduction to sustainable hydrocarbon fuels generation and sustainable waste degradation. In this study, various Bi2S3/CuMoO4 heterojunction photocatalysts are synthesized using hydrothermal treatment and characterized by XRD, SEM, TEM, BET, UV–Vis, PL, EIS, and XPS analyses. In particular, the role of Bi2S3 with different weight percentage loading onto CuMoO4 is investigated. Among all synthesized photocatalysts, the optimum 5wt% Bi2S3/CuMoO4 photocatalyst exhibiting an enhanced visible light absorption capacity with the tunable bandgap energy of 1.71 eV offers selective photoreduction of CO2 to methanol as a sustainable fuel up to 306.7 µmol gcat−1 h−1. The renewable product obtained from photocatalytic CO2 reduction study is analysed and quantified by NMR spectroscopy. Despite a multi-cycle run up to three cycles, the direct Z-scheme interphase layer of 5wt% Bi2S3/CuMoO4 heterojunction photocatalyst promotes higher charge separation and electron transfer to the surface reactive zones for reducing the trapped CO2 to 100% selective methanol formation. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Materials Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Aug2026
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