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二氧化碳在掺有镍基金属有机框架材料-74(Ni-MOF-74)和多壁碳纳米管的聚丙烯腈纳米纤维上的吸附

Adsorption of Carbon Dioxide with Ni-MOF-74 and MWCNT Incorporated Poly Acrylonitrile Nanofibers.

作者信息

Harandizadeh Amir Hossein, Aghamiri Seyedfoad, Hojjat Mohammad, Ranjbar-Mohammadi Marziyeh, Talaie Mohammad Reza

机构信息

Department of Chemical Engineering, Faculty of Engineering, University of Isfahan, Isfahan 81746-73441, Iran.

Department of Textile, Engineering Faculty, University of Bonab, Bonab 55513-95133, Iran.

出版信息

Nanomaterials (Basel). 2022 Jan 27;12(3):412. doi: 10.3390/nano12030412.

DOI:10.3390/nano12030412
PMID:35159757
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8839861/
Abstract

Among the new adsorbent forms, nanofiber structures have attracted extra attention because of features such as high surface area, controllable properties, and fast kinetics. The objective of this study is to produce the polyacrylonitrile (PAN) electrospun nanofibers loaded with Ni-MOF-74/MWCNT to obtain maximum CO adsorption. The prepared PAN/MWCNT/MOF nanofiber based on the Box-Behnken design (BBD) model suggests the CO adsorption of about 1.68 mmol/g (at 25 °C and 7 bar) includes 14.61 /%, 1.43 /%, and 11.9 /% for PAN, MWCNT, and MOF, respectively. The results showed the effective CO adsorption of about 1.65 ± 0.03 mmol/g (BET = 65 m/g, pore volume = 0.08 cm/g), which proves the logical outcomes of the chosen model. The prepared PAN/MWCNT/MOF nanofiber was characterized using different analyzes such as SEM, TEM, TG, XRD, FTIR, and N adsorption-desorption isotherms. More MOF mass loading on the nanofiber surface via secondary growth method resulted in 2.83 mmol/g (BET = 353 m/g, pore volume = 0.22 cm/g, 43% MOF mass loading) and 4.35 mmol/g (BET = 493 m/g, pore volume = 0.27 cm/g, 65% MOF mass loading) CO adsorption at 7 bar for the first and second growth cycles, respectively. This indicates that secondary growth is more effective in the MOF loading amount and, consequently, adsorption capacity compared to the MOF loading during electrospinning.

摘要

在新型吸附剂形式中,纳米纤维结构因其高比表面积、可控制的性质和快速动力学等特性而备受关注。本研究的目的是制备负载Ni-MOF-74/MWCNT的聚丙烯腈(PAN)电纺纳米纤维,以实现最大的CO吸附量。基于Box-Behnken设计(BBD)模型制备的PAN/MWCNT/MOF纳米纤维表明,在25℃和7巴条件下,其CO吸附量约为1.68 mmol/g,其中PAN、MWCNT和MOF的占比分别为14.61%、1.43%和11.9%。结果显示,有效CO吸附量约为1.65±0.03 mmol/g(BET = 65 m/g,孔体积 = 0.08 cm/g),这证明了所选模型的合理结果。使用扫描电子显微镜(SEM)、透射电子显微镜(TEM)、热重分析(TG)、X射线衍射(XRD)、傅里叶变换红外光谱(FTIR)和N吸附-脱附等温线等不同分析方法对制备的PAN/MWCNT/MOF纳米纤维进行了表征。通过二次生长法在纳米纤维表面负载更多的MOF,在7巴条件下,第一次和第二次生长循环的CO吸附量分别为2.83 mmol/g(BET = 353 m/g,孔体积 = 0.22 cm/g,MOF质量负载量为43%)和4.35 mmol/g(BET = 493 m/g,孔体积 = 0.27 cm/g,MOF质量负载量为65%)。这表明,与静电纺丝过程中的MOF负载相比,二次生长在MOF负载量以及吸附容量方面更有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/3446f4a167ba/nanomaterials-12-00412-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/4e87ec78cbf1/nanomaterials-12-00412-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/1584bc25672d/nanomaterials-12-00412-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/1dba551fbbf8/nanomaterials-12-00412-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/b0a9f64d0294/nanomaterials-12-00412-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/2251707b9302/nanomaterials-12-00412-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/59ea18ef8c79/nanomaterials-12-00412-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/3446f4a167ba/nanomaterials-12-00412-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/4e87ec78cbf1/nanomaterials-12-00412-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/1584bc25672d/nanomaterials-12-00412-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/1dba551fbbf8/nanomaterials-12-00412-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/b0a9f64d0294/nanomaterials-12-00412-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/2251707b9302/nanomaterials-12-00412-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/59ea18ef8c79/nanomaterials-12-00412-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f2a/8839861/3446f4a167ba/nanomaterials-12-00412-g008.jpg

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