Pooja Das Manjulabhai, Arun Warrier, Dr. Jeethu Raveendran, Dr. Dhanya Gangadharan
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引用次数: 0
Abstract
Background: Erlotinib (ERL) is a crucial tyrosine kinase inhibitor utilized for treating non-small cell lung cancer (NSCLC) and pancreatic cancer. However, due to its significant adverse effects, precise dosage monitoring is essential throughout treatments. Methods: This study developed a sensitive and specific screen-printed electrode (SPE) sensor to detect erlotinib in human serum, urine, and pharmaceutical dosage forms. The sensor's linear response range, limit of detection (LOD), and limit of quantification (LOQ) were determined. Additionally, the sensor's selectivity was assessed by studying electro-oxidation in the presence of common interfering molecules. Results: The developed sensor exhibited a linear response range of 2.0 μM to 34.0 μM, with a LOD of 0.03 μM and a LOQ of 0.84 μM. Excellent recovery values were observed in human serum, urine, and tablet dosage forms, demonstrating the sensor's applicability. The selectivity study confirmed the sensor's ability to accurately quantify erlotinib in the presence of interfering substances. Conclusion: The research presents a novel and reliable technique for therapeutic drug monitoring of erlotinib using a screen-printed electrode sensor. This method offers a quick, simple, and costeffective approach for detecting ERL in actual samples, thereby facilitating improved dosage monitoring in clinical settings.
期刊介绍:
Current Analytical Chemistry publishes full-length/mini reviews and original research articles on the most recent advances in analytical chemistry. All aspects of the field are represented, including analytical methodology, techniques, and instrumentation in both fundamental and applied research topics of interest to the broad readership of the journal. Current Analytical Chemistry strives to serve as an authoritative source of information in analytical chemistry and in related applications such as biochemical analysis, pharmaceutical research, quantitative biological imaging, novel sensors, and nanotechnology.