Work

Analysis of Large Data Sets in a Physical Chemistry Laboratory NMR Experiment Using Python

Year: 2023

Type: article

Abstract: We describe an update to an experiment demonstrating low-field NMR spectroscopy in the undergraduate physical chemistry laboratory. A Python-based data processing and analysis protocol is developed for this experiment. The Python language is used in fillable worksheets in the notebook software JupyterLab, providing an interactive means for students to work with the measured data step by step. The protocol teaches methods for the analysis of large data sets in science or engineering, a topic that is absent from traditional chemistry curricula. Python is among the most widely used modern tools for data analysis. In addition, its open-source nature reduces the barriers for adoption in an educational laboratory.

Source: Journal of Chemical Education

DOI: 10.1021/acs.jchemed.3c00586

Authors: Zefan Zhang, Anshul Gautam, Soon-Mi Lim, Christian Hilty

Institution: Texas A&M University

Language: English

Topic: Various Chemistry Research Topics

Subfield: Physical and Theoretical Chemistry

Field: Chemistry

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

Estimated APC paid: $5,000