Home > Press > Scientists Measure Medical Species Simultaneously Using Statistical Methods
Abstract:
Iranian researchers from Kashan University designed a nanosensor with low detection limit for the simultaneous measurement of medical species.
In this research, the implementation of statistical methods has been proposed as well as the nanosensor itself to resolve the problems caused by laboratorial description results. Among the advantages of this method, mention can be made of reduction in cost, increasing the rate and the lack of the need for organic solvents in the tests.
Measurement of drugs plays an important role in controlling the quality of drugs and it has great effect on public health. Therefore, it is necessary to select a simple, sensitive and fast method to measure the amount of drugs. In this research, the ability of statistical methods has been used in the separation of the overlapped electrochemical peaks created by two important biomedicines, including sulfamethoxazole and sulfapyridine.
Dr. Seyed Mehdi Qoreishi, the supervisor of the research, explained about the importance of this study, and said, "The measurement of two drugs sulfamethoxazole and sulfapyridine is not possible only by using common methods due to the severe overlap in their electrochemical peaks. Therefore, electrochemical methods have been combined with statistical ones in this research. In addition and in order to increase the sensitivity of the responds, the measurement was carried out on the surface of carbon paste electrode modified with multi-walled carbon nanotubes."
Taking into account the replacement of separation laboratorial methods with chemometrics statistical ones, some advantages have been obtained by using this method including increase in sensitivity and improvement in detection limit at nanomolar scale, reduction in cost, increasing the speed, and the lack of the use of organic solvents, and reduction in pollution.
Chemometrics is a science that uses statistics and mathematics to describe and find solution for the problems in laboratorial data.
Results of the research have been published in Electrochemica Acta, vol. 130, issue 1, June 2014, pp. 271-278.
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