| چکیده انگلیسی مقاله |
Breast cancer is the most common disease in women and chemotherapy is a major treatment of cancer [1]. Clinical evaluations, anti-cancer drugs (ACDs), and individualized medicine lead to safer treatment of patients with breast cancer [2]. In recent decades, various analytical methods were developed to analyze therapeutic drugs, especially in patients with need for advanced treatments. In many circumstances, simultaneous quantification of ACDs is vital to monitor the kinetics and metabolism of drugs in living organisms. Simultaneous determination three important anti-breast cancer drugs including capecitabine (CAP), paclitaxel (PAC), and vinorelbine (VIN) were considered, in this study. High sensitive excitation-emission fluorescence (EEF) technique was utilized to determine the analytes of interest. Due to intense overlapping between analyte peaks, the collected EEF data was non-selective. Moreover, interference overlapping cause difficulties for precise calibration of the analytes [3]. In this work, the collected EEF data was processed using N-way chemometric methods for alleviating the problem of spectral overlapping and unknown interferences. Multiway variable importance in projection (NVIP) and multiway partial least squares (NPLS) algorithms were used for variable selection and modeling steps, respectively. The obtained EEF data was huge and complex, so, data quality was increased by removing Rayleigh scattering, savitzki-golay smoothing, and multiway preprocessing methods such as centering and double slab scaling. The prediction ability of the NPLS model was improved after selection of the important variables using NVIP algorithm. Calibration and validation steps were performed in both aqueous and blood-plasma samples. The correlation coefficient (R2) value for the validation set for CAP, PAC, and VIN are 0.896, 0.843, and 0.924 in aqueous samples, and 0.75, 0.698, and 0.713 in plasma samples, respectively. The suggested method is fast, sensitive, selective, low-cost, and can be used as an alternative and environmentally friendly approach for simultaneous determination of drugs in biological samples. |
