title: Application of unfolded principal component analysis-radial basis function neural network for determination of celecoxib in human serum by three-dimensional excitation-emission matrix fluorescence spectroscopy.
abstract: This study describes a simple and rapid approach of monitoring celecoxib (CLX). Unfolded principal component analysis-radial basis function neural network (UPCA-RBFNN) and excitation-emission spectra were combined to develop new model in the determination of CLX in human serum samples. Fluorescence landscapes with excitation wavelengths from 250 to 310nm and emission wavelengths in the range 280-450nm were obtained. The figures of merit for the developed model were evaluated. High performance liquid chromatography (HPLC) technique was also used as a standard method. Accuracy of the method was investigated by analysis of the serum samples spiked with various concentration of CLX and a recovery of 103.63% was obtained. The results indicated that the proposed method is an interesting alternative to the traditional techniques normally used for determining CLX such as HPLC.
authors.affiliation: Nano Drug Delivery Research Center, School of Pharmacy, Kermanshah University of Medical Sciences, Kermanshah, Iran; Medical Biology Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran. Electronic address: mohsenshahlaei@yahoo.com.
authors.forename: Mohsen
authors.initials: M
authors.lastname: Shahlaei
authors.affiliation: Medical Biology Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.
authors.forename: Gholamreza
authors.initials: G
authors.lastname: Bahrami
authors.affiliation: Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran.
authors.forename: Sajjad
authors.initials: S
authors.lastname: Abdolmaleki
authors.affiliation: Novel Drug Delivery Research Center, School of Pharmacy, Kermanshah University of Medical Sciences, Kermanshah, Iran.
authors.forename: Komail
authors.initials: K
authors.lastname: Sadrjavadi
authors.affiliation: Novel Drug Delivery Research Center, School of Pharmacy, Kermanshah University of Medical Sciences, Kermanshah, Iran.
authors.forename: Mohammad Bagher
authors.initials: MB
authors.lastname: Majnooni
mesh_terms: D000068579:Celecoxib / Q000097:blood* / Q000737:chemistry; D006801:Humans; D008752:Methylene Chloride / Q000737:chemistry; D016571:Neural Networks, Computer; D025341:Principal Component Analysis; D012044:Regression Analysis; D013050:Spectrometry, Fluorescence / Q000379:methods*
chemical_list: D008752:Methylene Chloride; D000068579:Celecoxib
keywords: Celecoxib; Excitation–emission fluorescence matrices; Principal component analysis; Radial basis function neural network