Preparation of Alumina Oxo-Cluster/Cellulose Polymers and Dye Adsorption Application.

Henglong Tang, Simeng Yao, Zhu Long, Xuefei Yang, Pengxiang Si, Chang Sun, Dan Zhang
Author Information
  1. Henglong Tang: College of Textile Science and Technology, Jiangnan University 1800 Lihu Avenue, Wuxi 214122, China.
  2. Simeng Yao: College of Textile Science and Technology, Jiangnan University 1800 Lihu Avenue, Wuxi 214122, China.
  3. Zhu Long: College of Textile Science and Technology, Jiangnan University 1800 Lihu Avenue, Wuxi 214122, China.
  4. Xuefei Yang: CETIM Technological Center, 15189 Culleredo, Spain.
  5. Pengxiang Si: College of Textile Science and Technology, Jiangnan University 1800 Lihu Avenue, Wuxi 214122, China. ORCID
  6. Chang Sun: College of Textile Science and Technology, Jiangnan University 1800 Lihu Avenue, Wuxi 214122, China. ORCID
  7. Dan Zhang: College of Textile Science and Technology, Jiangnan University 1800 Lihu Avenue, Wuxi 214122, China.

Abstract

Aluminum oxide clusters (AlOCs) possess high surface areas and customizable pore structures, making them applicable in the field of environmental remediation. However, their practical use is hindered by stability issues, aggregation tendencies, and recycling challenges. This study presents an in -situ synthesis of AlOCs on cellulose using a solvent thermal method. The resulting adsorbent's structural and property profiles were thoroughly characterized using multiple analytical techniques. Batch adsorption experiments were performed to assess the adsorbent's capacity and kinetics in removing selected dyes from aqueous solutions. Additionally, both real-environment simulation and regeneration experiments have been conducted to thoroughly assess the adsorbent's reliability, stability, and practical applicability. The aim was to engineer an effective and recyclable adsorbent specifically tailored for dye-contaminated wastewater treatment.

Keywords

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Grants

  1. No.2021KF10/Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control
  2. 22361142705 and U20A20144/National Natural Science Foundation of China

Word Cloud

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