The undergraduate analytical chemistry curriculum in academia emphasize univariate analysis to teach students about sample preparation and relevant instrumentation. Most of these students head out on summer internships and employment opportunities in the private sector, with no prior knowledge nor experience in multivariate analysis or programming. Increasingly, chemometric methods are being used in analytical research to analyze complex and unknown samples. Several recent studies in chemical education journals have reported introducing students to ‘toolboxes’, which can help the students to streamline their data analysis. However, these ‘toolboxes’ are not necessarily open-source nor are they used in industry. For this reason, we have developed a set of modules for use in analytical chemistry courses. These modules introduce undergraduates, with a limited background in mathematics, coding, and chemistry, to coding, univariate, and multivariate analysis. The modules are based on MathWorks’ MATLAB®, which is available at little or no cost to students on many college and university campuses and is used widely in industry. In this presentation, we will introduce our modules and provide some preliminary assessment data from our undergraduate Bioanalytical Chemistry course.<br/>

Introducing a MATLAB®-based chemometrics curriculum for use in undergraduate analytical chemistry

2019 Spring National Meeting

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