Applying chemometric methods studying multidimensional data is transforming them into multiparty data and analyzing them with MCR-ALS in order to measurement of Furosemide drug in actual samples based upon studying its degradation

Measurement of medical materials in aqueous media are generally performed with difficult procedures including extraction from high volumes of water followed by tedious derivatization and measurement steps with different methods. Gas and liquid chromatography coupled with mass spectroscopy are among the examples [1]. These techniques need very specific equipment, long times and high costs. Therefore, application of methods with less expensive devices, desirable sensitivity, and high rate and accessibility such as spectrophotometry are ideal solutions. The data obtained from spectrophotometric-kinetic methods were of second order which make it possible to analyze the data in the presence of unknown interfering species. By using rate differences in the destruction of furosemide in the presence of interfering drug and spectrophotometric-kinetic data obtained during the destruction process of oxidants such as chlorine and studying the creation and selection of optimum conditions in terms of drug concentration and oxidant and pH of the reaction medium, simultaneous measurement and recording of 2D spectrophotometric-kinetic data can be performed providing second order algorithms for data analysis..In this work, Using MCR-ALS chemometric method and applying non-negativity and unimodality constrains in both concentration and spectrum dimensions and by comparing results obtained by applying more constrains such as equality constrains in concentration and/or spectrum dimensions as well as applying trilinearity constrains, the responses were improved [2-5]. destruction of Furosemide drug under optimum conditions gave linear rang of (5*10-7- 2*10-5) and using MCR-ALS technique, simultaneous drug measurements are possible without the need for knowing interfering species.