The utilization of ambient ionization (AI) techniques for mass spectrometry (MS) has significantly grown due to their ability to facilitate rapid and direct sample analysis with minimal sample preparation. This study investigates the performance of various AI techniques, including atmospheric solids analysis probe (ASAP), thermal desorption corona discharge (TDCD), direct analysis in real time (DART), and paper spray coupled to a Waters QDa mass spectrometer. The focus is on evaluating the linearity, repeatability, and limit of detection (LOD) of these techniques across a range of analytes, including amino acids, drugs, and explosives.
View Article and Find Full Text PDFAmbient ionization (AI) is a rapidly growing field in mass spectrometry (MS). It allows for the direct analysis of samples without any sample preparation, making it a promising technique for the detection of explosives. Previous studies have shown that AI can be used to detect a variety of explosives, but the exact gas-phase reactions that occur during ionization are not fully understood.
View Article and Find Full Text PDFNanomedicines have emerged as a promising approach for targeted therapeutic delivery and specifically as a beneficial alternative to conventional cancer therapies as they can deliver higher concentrations of chemotherapeutic agents at the tumour site compared to healthy tissue, thus providing improved drug efficacy and lower systemic toxicity. Long acting injectables are increasingly becoming the focus of pharmaceutical research, as they can reduce dosing frequency and improve the life quality of patients. Development of an in vitro release (IVR) method for modified release nanomedicines is challenging because of the uniqueness and range of different formulation design approaches, as well as the complex nature of drug release mechanisms which may result in inherent variability.
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