In this study, three anti-inflammatory agents, namely ibuprofen, indomethacin and naproxen, were titrated potentiometrically using tetrabutylammonium hydroxide in acetonitrile solvent under a nitrogen atmosphere at 25 °C. MATLAB 7.0 software was applied for data treatment as a multivariate calibration tool in the potentiometric titration procedure. An artificial neural network (ANN) was used as a multivariate calibration tool in the potentiometric titration to model the complex non-linear relationship between ibuprofen, indomethacin and naproxen concentrations and the millivolt (mV) of the solutions measured after the addition of different volumes of the titrant. The optimized network predicted the concentrations of agents in synthetic mixtures. The results showed that the employed ANN can precede the titration data with an average relative error of prediction of less than 2.30 %.

No abstract

Acetylsalicylic acid, paracetamol, and ascorbic acid which are used for the pain reliever and fever reducer were analyzed without any prior reservation by means of spectrophotometry-chemometry. The experimental calibration matrix was designed by measuring the absorbance within the range of 200-400 nm for 19 samples of acetylsalicylic acid, paracetamol, and ascorbic acid. Absorbance and concentration values were analyzed using Minitab and other chemometric programs to calculate estimated concentrations by PCR and PLSR. In the first step the synthetic mixtures including acetylsalicylic acid, paracetamol, and ascorbic acid were prepared and absorbance values were obtained according to spectrophotometry. In the second step, amounts of acetylsalicylic acid, paracetamol, and ascorbic acid were calculated in effervescent tablet (Afebryl®). Standard deviations were accomplished. This study encouraged us to apply the developed methods for drug analysis. The methods presented in this paper are rapid and do not need any separation process or preliminary treatments for the analysis.

Bu çalışmada, Parkinson hastalığının tedavisinde kullanılan ilaç numunesindeki levodopa ve benserazid maddelerinin spektrofotometrik olarak kemometrik metotlarla tayini gerçekleştirilmiştir. Deneysel çalışmada maddelerin spektrofotometrik özellikleri belirlendikten sonra her bir maddenin uygun oranlarıyla karıştırılmasıyla yapay karışımların spektrum verileri incelenmiştir. En son aşamada tablet numunesi analizi yapılmıştır. Kemometrik yöntemlerden, temel bileşen regresyonu yöntemi (PCR) ve kısmi en küçük kareler yöntemi (PLS), sentetik karışım ve tablet numunesindeki miktar tayininde başarı ile uygulanmıştır. Hesaplanan veriler, istatistik olarak incelendiklerinde hem hesaplanan geri kazanım değerleri yüksek hem de standart sapmalar yeterince küçüktür. Uygulanan kemometrik yöntemler yardımıyla elde edilen sonuçlar son derece hızlı, basit ve güvenilir sonuçlardır.

The spectrophotometric-chemometric analysis of levodopa and carbidopa that are used for Parkinson’s disease was analyzed without any prior reservation. Parkinson’s drugs in the urine sample of a healthy person (never used drugs in his life) were analyzed at the same time spectrophotometrically. The chemometric methods used were partial least squares regression (PLS) and principal component regression (PCR). PLS and PCR were successfully applied as chemometric determination of levodopa and carbidopa in human urine samples. A concentration set including binary mixtures of levodopa and carbidopa in 15 different combinations was randomly prepared in acetate buffer (pH 3.5).). UV spectrophotometry is a relatively inexpensive, reliable, and less time-consuming method. Minitab program was used for absorbance and concentration values. The normalization values for each active substance were good (r2>0.9997). Additionally, experimental data were validated statistically. The results of the analyses of the results revealed high recoveries and low standard deviations. Hence, the results encouraged us to apply the method to drug analysis. The proposed methods are highly sensitive and precise, and therefore they were implemented for the determination of the active substances in the urine sample of a healthy person in triumph.