A Modern Twist on an Old Measurement: Using Laboratory Automation and Data Science to Determine the Solubility Product of Lead Iodide

Abstract

Laboratory automation and data science are valuable new skills for all chemists, but most pedagogical activities involving automation to date have focused on upper-level coursework. Herein, we describe a combined computational and experimental lab suitable for a first-year undergraduate general chemistry course, in which these topics are introduced in the context of determination of the solubility equilibrium constant of lead iodide. Students analyze their data using logistic regression analysis, which has a physical interpretation in terms of the solubility equilibrium expression and its stoichiometric coefficients. In addition to laboratory automation, data visualization, and data fitting skills, students also practice core laboratory skills such as the preparation of stock solutions using a volumetric flask and the use of micropipets. To keep the lab affordable, we demonstrate the use of a low-cost 3D-printed liquid dispensing robot to perform the automated experiment in addition to a commercial liquid-handling robot. Example pre-and post-lab computational notebooks are provided in both Mathematica and Python programming languages.

Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept

“…For example, the Sidekick liquid dispenser 94 was designed around the liquid dispensing requirements associated with automated exploratory synthesis of halide perovskites, 99 and only later used for teaching an introductory chemistry laboratory on automation. 100 Similarly, the Jubilee system 59 was originally demonstrated in the context of nanocrystal synthesis research, 101 and later used for education. 60…”