Cellulose acetate microwell plates for high-throughput colorimetric assays.

Abstract

Single use plasticware (SUP) in scientific, diagnostic, and academic laboratories makes a significant contribution to plastic waste generation worldwide. Polystyrene (PS) microwell plates form a part of this waste. These plates are the backbone of high throughput colorimetric measurements in academic, research, and healthcare settings for detection/quantification of wide-ranging analytes including proteins, carbohydrates, nucleic acids, and enzyme activity. Polystyrene (PS) microwell plates serve as a platform for holding samples and reagents, where mixing initiates chemical reaction(s), and the ensuing color changes are quantified using a microplate reader. However, these plates are rarely reused or recycled, contributing to the staggering amounts of plastic waste generated in scientific laboratories. Here, we are reporting the fabrication of cellulose acetate (CA) microwell plates as a greener alternative to non-biodegradable PS plates and we demonstrate their application in colorimetric assays. These easy to fabricate, lighter weight, customizable, and environmentally friendly plates were fabricated in 96- and 384-well formats and made water impermeable through chemical treatment. The plates were tested in three different colorimetric analyses: (i) bicinchoninic acid assay (BCA) for protein quantification; (ii) chymotrypsin (CT) activity assay; and (iii) alkaline phosphatase (AP) activity assay. Color intensities were quantified using a freely available smartphone application, Spotxel® Reader (Sicasys Software GmbH). To benchmark the performance of this platform, the same assays were performed in commercial PS plates too and quantified using a UV/Vis microplate reader. The two systems yielded comparable linear correlation coefficients, LOD and LOQ values, thereby validating the CA plate-cell phone based analytical method. The CA microwell plates, coupled with smart phone optical data capture, provide greener, accessible, and scalable tools for all laboratory settings and are particularly well-suited for resource- and infrastructure-limited environments.