Journal Article

·2024 OPEN ACCESS

Chromatographic Determination of Triticonazole in Oat Samples by High Performance Liquid Chromatography-Ultraviolet Detection (HPLC-UV)

Elif Seda Koçoğlu YTU

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

Abstract

The chemical burden on ecosystems has been increased day by day because of the growing activities of agricultural sector. The chemicals that are used to protect plants and humans from different diseases in agricultural lands are known as pesticides. On the other hand, these chemicals can be caused a wide range of side effects on health and environment. The proposed study aimed to determine triticonazole belonging to the fungicide class by high pressure liquid chromatography equipped with ultraviolet detection system (HPLC-UV). Hence, suitable chromatographic conditions were applied to detect triticonazole at a certain retention time. 5 different validation parameters including limit of detection (LOD), limit of quantification (LOQ), percent relative standard deviation (RSD%), linear range (LR) and coefficient of linear regression (R2) were investigated. A comprehensive validation of the developed method was achieved by all these values. The selectivity of the method for the analyte was ensured by selecting the wavelength of maximum absorption (263 nm), which is peculiar to the analyte. Very low LOD/LOQ values of presented method were recorded as 0.87 and 2.90 µg kg-1 under the proposed conditions, respectively. Triticonazole was extracted from oat samples by using acetonitrile and the presence of the triticonazole was investigated by analytical measurements. No detectable analytical signal was obtained for triticonazole in the samples at the retention time interval. The accuracy and applicability of the developed method to the real samples was verified with recovery experiments and this yielded satisfactory percent recoveries. Matrix matching calibration strategy was used to improve quantification accuracy for triticonazole. The results were obtained in the range of 92.9 - 101.4 % for different spiked concentrations of samples within linear range.

Keywords

Analyte Chromatography Detection limit High-performance liquid chromatography Calibration Matrix (chemical analysis) Chemistry Linear regression Linear range Analytical Chemistry (journal) Mathematics Statistics

Subject Areas

Pesticide Residue Analysis and Safety ·Food Science ·Life Sciences
Spectroscopy and Chemometric Analyses ·Analytical Chemistry ·Physical Sciences
Mycotoxins in Agriculture and Food ·Plant Science ·Life Sciences

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