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Citation: Xianjiao Meng, Yujiao Ma, Wang Li, Xi Zhao, Yiming Wang, Fugui Wang, Yongpo Zhang, Jinzhong Zhao. Experimental Teaching Design of Extracting Capsanthin from Chili Peppers: A Digital Perspective[J]. University Chemistry, ;2025, 40(11): 233-240. doi: 10.12461/PKU.DXHX202412118 shu

Experimental Teaching Design of Extracting Capsanthin from Chili Peppers: A Digital Perspective

Department of Basic Science, Shanxi Agricultural University, Jinzhong 030801, Shanxi Province, China

Corresponding author: Jinzhong Zhao, zhaojz@sxau.edu.cn
Received Date: 30 December 2024
Revised Date: 18 February 2025

The extraction of capsanthin from red chili peppers constitutes a comprehensive experiment in natural product chemistry education. This experimental protocol encompasses the extraction, separation, and purification of capsanthin, involving multiple experimental variables, utilization of sophisticated instrumentation, and constraints on instructional time. The strategic incorporation of digital teaching methodologies facilitates both process optimization and enhanced comprehension of theoretical principles and experimental procedures. The digital framework comprises two principal components: (1) offline “segmented” data acquisition coupled with mathematical modeling for numerical simulation of extraction parameters, including temperature, solvent composition, developing/eluting agent ratios, and silica gel column height, enabling students to analyze predicted outcomes and refine experimental conditions; (2) virtual simulation technology for dynamic visualization of experimental results, assisting students in apparatus assembly (e.g., reflux systems) and instrument operation (e.g., liquid chromatography). The assessment system automatically evaluates performance based on experimental outcomes and operational repetitions. This digital approach actively engages students, ensures preservation of bioactive components, fosters awareness of plant utilization and conservation, and promotes environmental stewardship.
- Natural product,
- Capsanthin,
- Numerical simulation,
- Virtual simulation,
- Path optimization
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