Colorimetric chemosensory assays for furfural detection and quantification with high sensitivity

Abstract

This dissertation presents comprehensive research results on high-sensitivity detection and quantification methods for furfural, a compound commonly found in various applications such as transformers and food products. Traditional furfural detection methods have required expensive equipment, such as high-performance liquid chromatography, typically limited to laboratory settings. Additionally, colorimetric methods using chemical reactions like aniline acetate have been challenging to apply in industrial settings due to environmental regulations. To overcome these limitations, this research focused on developing an efficient colorimetric detection method with high selectivity for furfural and the capability for ppb-level quantification, while minimizing interference from different compounds in various matrices. The study encompassed three main areas of investigation: 1. Enhancement of Colorimetric Sensitivity: Optimal colorimetric conditions and quantification methods were designed for the liquid-liquid reaction between furfural and commonly used aldehyde detection reagents, such as DNPH and Purpald, to improve furfural's colorimetric sensitivity. 2. Solid-Liquid Reaction for APDS and Furfural: A novel colorimetric detection method utilizing a solid-liquid reaction between furfural and APDS was developed, offering a colorimetric approach that can be applied effectively. 3. Synthesis of Novel Polymers: A novel polymer, including aromatic amines not previously reported, was synthesized to enhance furfural selectivity and improve color development under optimized synthesis conditions. This dissertation aims to provide an effective and convenient analytical method by addressing the current limitations in furfural detection. The proposed method offers improved accuracy, sensitivity, and applicability, ultimately ensuring the quality of systems and products in both industrial and food sectors.