Machine learning-driven preparation of high-performance bio-derived carbon catalyst for conversion of cellulose

机器学习驱动制备用于纤维素转化的高性能生物衍生碳催化剂

• 批准号: 22K14713
• 负责人: CHOKRADJAROEN CHAYANAPHAT
• 金额: $ 2.91万
• 依托单位: Nagoya University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Early-Career Scientists
• 财政年份: 2022
• 资助国家: 日本
• 起止时间: 2022-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-22K14713/
• 关键词: natural resources; carbon materials; database; cellulose conversion; bio-derived carbon; conversion; cellulose; catalyst

The research is divided into two parts. One is building database and material informatics. In this part, we have sourced 112 raw materials including both plant-based and animal-based materials. The characterization has been done by FTIR (50 raw materials), XRD (50 raw materials), and SEM (20 raw materials). 20 raw materials were converted into carbon materials. The selection of descriptors and data pre-processing methods have been decided based the demonstration of building data and predictions of 138 commercial carbons (20k data). Part two is the synthesis of catalyst and evaluation for conversion of cellulose. In this part, the preparation for evaluation of products from conversion of cellulose by using the synthesized catalysts have been started, such as setting up the reactor and HPLC.

研究分为两部分。一是建立数据库和材料信息学。在这一部分中，我们采购了 112 种原材料，包括植物性材料和动物性材料。通过 FTIR（50 种原料）、XRD（50 种原料）和 SEM（20 种原料）进行表征。 20种原材料被转化为碳材料。根据建筑数据的论证和138个商业碳（20k数据）的预测，确定了描述符的选择和数据预处理方法。第二部分是催化剂的合成及纤维素转化率的评价。在这一部分中，已经开始了使用合成的催化剂对纤维素转化产物进行评价的准备工作，例如搭建反应器和HPLC。

项目成果

Solution plasma in aqueous solution and their application in modification of nature-derived polymers

水溶液中的溶液等离子体及其在天然聚合物改性中的应用

• 发表时间: 2023
• 作者: Chayanapat Chokradjaroen

Mahidol University/Chulalongkorn University(タイ)

玛希隆大学/朱拉隆功大学（泰国）