基于智能融合大数据和深度学习算法的化学分析平台在本科实验教学中的设计与应用

引用本文: 李亦菲, 陈雪鑫, 刘思含, 陈士乙, 潘玲. 基于智能融合大数据和深度学习算法的化学分析平台在本科实验教学中的设计与应用[J]. 大学化学, 2026, 41(1): 169-178. doi: 10.12461/PKU.DXHX202504098 shu

Citation: Yifei Li, Xuexin Chen, Sihan Liu, Shiyi Chen, Ling Pan. Design and Application of Chemical Analysis Platform Based on Intelligent Integration of Big Data and Deep Learning Algorithm in Undergraduate Experimental Teaching[J]. University Chemistry, 2026, 41(1): 169-178. doi: 10.12461/PKU.DXHX202504098 shu

基于智能融合大数据和深度学习算法的化学分析平台在本科实验教学中的设计与应用

李亦菲 ^{1,
,} ,
陈雪鑫 ^1, ,
刘思含 ^1, ,
陈士乙 ^2, ,
潘玲 ^1,

1.
东北师范大学化学学院, 长春 130024;
2.
东北师范大学信息科学与技术学院, 长春 130024

通讯作者: 李亦菲，E-mail:liyf640@nenu.edu.cn

基金项目:
吉林省高等教育教学改革研究课题(2024L5L54AS001R)；东北师范大学本科教学综合改革“揭榜领题”项目资助(BKZG20230508)；东北师范大学研究生教学综合改革项目(131007655)

摘要: 为了强化实验操作技能训练，促进学生对于有机合成化学的深层次理解，我们提出了一种基于智能融合大数据和深度学习算法的化学分析平台。该平台通过引导学生自主探索数字化实验设计过程，使其在实验实践中直观感受多学科交叉融合的科研魅力。我们利用基础设施成熟完备的数字化平台，选取硝苯地平的合成反应作为教学案例，具体介绍数字化实验设计的流程及其在本科实验教学中的应用。本实验包含了有机化学和计算机科学领域的相关知识，涉及到合成化学与药物化学的相关学习内容，适用于模块化实验教学以满足不同教学需求，并期望以此提高学生的创新意识与综合能力。

关键词:

English

Design and Application of Chemical Analysis Platform Based on Intelligent Integration of Big Data and Deep Learning Algorithm in Undergraduate Experimental Teaching

Yifei Li ^{1,
,} ,
Xuexin Chen ^1, ,
Sihan Liu ^1, ,
Shiyi Chen ^2, ,
Ling Pan ^1,

1.
Faculty of Chemistry, Northeast Normal University, Changchun 130024, China;
2.
Faculty of Information Science and Technology, Northeast Normal University, Changchun 130024, China

Corresponding author: Yifei Li, liyf640@nenu.edu.cn

Received Date: 28 April 2025
Revised Date: 13 October 2025
Available Online: 31 October 2025

Abstract: To enhance students’ experimental operational skills and facilitate their profound comprehension of organic synthetic chemistry, we developed a chemical analysis platform incorporating intelligent big data fusion and deep learning algorithms. This platform guides students through autonomous exploration of digital experimental design processes, allowing them to directly experience the interdisciplinary research appeal during practical implementation. Utilizing a well-established digital platform infrastructure, we employed the synthesis of nifedipine as a teaching case to demonstrate the workflow of digital experimental design and its pedagogical applications in undergraduate laboratory courses. This experiment integrates knowledge from both organic chemistry and computer science disciplines, encompassing learning components related to synthetic chemistry and medicinal chemistry. Suitable for modular experimental teaching to accommodate diverse instructional requirements, this approach aims to cultivate students’ innovative thinking and comprehensive competencies.

Key words:

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1.
沈阳化工大学材料科学与工程学院沈阳 110142

基于智能融合大数据和深度学习算法的化学分析平台在本科实验教学中的设计与应用

通讯作者: 李亦菲，E-mail:liyf640@nenu.edu.cn

English

Design and Application of Chemical Analysis Platform Based on Intelligent Integration of Big Data and Deep Learning Algorithm in Undergraduate Experimental Teaching

Corresponding author: Yifei Li, liyf640@nenu.edu.cn

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通讯作者: 陈斌, bchen63@163.com

中国化学会秘书处

基于智能融合大数据和深度学习算法的化学分析平台在本科实验教学中的设计与应用

通讯作者: 李亦菲，E-mail:liyf640@nenu.edu.cn

English

Design and Application of Chemical Analysis Platform Based on Intelligent Integration of Big Data and Deep Learning Algorithm in Undergraduate Experimental Teaching

Corresponding author: Yifei Li, liyf640@nenu.edu.cn

CCS Chemistry：嵌段共聚物自组装成 “三明治”二维有机材料，实现纳米级压力传感功能

CCS Chemistry：颜徐州、鲍哲南： 你的皮肤可能是一片SPMs

CCS Chemistry：工作高效不疲劳，只须让催化剂动起来

CCS Chemistry：静电组装导向聚合- 聚电解质纳米凝胶量化制备新策略

CCS Chemistry：金黄色葡萄球菌醛基脱氢酶是如何识别特异性底物的？

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通讯作者: 陈斌, bchen63@163.com

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