Metal-Organic Frameworks for Detection of Drugs of Abuse
摘要
Metal-organic frameworks (MOFs) have emerged as a promising class of materials for the detection of drugs of abuse due to their high selectivity and adsorption capacity. The unique properties of MOFs, such as their high surface area and tunable pore sizes, enable the selective adsorption of target molecules, making them ideal for the detection of drugs of abuse. MOFs can be functionalized with different ligands to enhance their selectivity towards specific molecules, enabling the development of highly sensitive and selective methods for drug detection. In recent years, several studies have demonstrated the potential of MOFs for the detection of drugs of abuse. For instance, ZIF-8 has been functionalized with a specific antibody for the detection of human chorionic gonadotropin (hCG) in urine samples, while NH2-MIL-125(Ti) has been employed as a stationary phase in High-Performance Liquid Chromatography (HPLC) for the separation of antipsychotics in human serum. These studies demonstrate the potential of MOFs for the detection of drugs of abuse. The integration of MOFs with other analytical techniques, such as mass spectrometry or chromatography, also offers a promising approach for drug detection. MOFs can be used as extraction phases in sample preparation, enabling the selective extraction of target molecules from complex matrices. The combination of MOFs with other analytical techniques enables the development of highly sensitive and selective methods for drug detection and analysis. Despite the challenges in the application of MOFs for drug detection and analysis, such as their stability and reproducibility, the potential of MOFs in this field is still being explored, and further research in this area is necessary to fully realize their potential. Overall, MOFs offer a promising approach for the detection of drugs of abuse, and the integration of MOFs with other analytical techniques provides a pathway for the development of highly sensitive and selective methods for drug detection and analysis.