Multivariate optimization of a simple and sensitive method for the determination of secondary biogenic organic compounds in airborne particles

Abstract

In this study, a simple and sensitive method for the determination of biogenic secondary organic aerosol (SOA) in airborne particles, has been optimized and validated. A one step derivatization protocol, with N-methyl-N-trimethyl-silyltrifluoroacetamide (MSTFA), trimethyl-chlorosilane (TMCS) and pyridine, followed by gas chromatography-mass spectrometry (GC/MS) has been implemented. The method was optimized using a multivariate strategy including the application of a central composite design. The proposed method provided low limits of detection (0.10–0.19 μg mL⁻¹) and good precision (relative standard deviations below 5.2%). The method was performed on the analysis of SOA in PM₁₀ particles from a semi-rural area.