Quantitative Monitoring of Solvent Concentration and Moisture Content

This technical report presents a method for quantitatively monitoring solvent concentration and moisture content during flow synthesis processes. The study focuses on the development of a micro-flow cell and regression models utilizing near-infrared (NIR) spectroscopy for peptide synthesis monitoring. It outlines the advantages of flow synthesis over traditional batch synthesis, including reduced analysis time and improved control over reaction conditions. The report details the design of the flow cell, which is engineered for high pressure resistance and efficient fluid displacement. The methodology includes the use of partial least squares regression (PLSR) for data analysis, allowing for accurate predictions of solvent concentrations and moisture content. The results indicate that the proposed monitoring method can effectively measure these parameters in real-time, highlighting its potential utility for in-line spectroscopic monitoring in chemical synthesis processes. The report also discusses the implications of moisture control and solvent composition on reaction efficiency and product quality.