Determination of 3,5 – dimethylpyrazolium glyceroborate nitrification inhibitor in nitrogen fertilizer samples: HPLC-DAD method development and validation for 3,5 – dimethylpyrazole

•An HPLC method was developed for the determination of 3,5 – dimethylpyrazole.•The method was validated for quality parameters of the measurement.•The validated method was firstly applied to analysis of the inhibitory fertilizer samples. 3,5 – Dimethylpyrazolium glyceroborate is a nitrification inhi...

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Bibliographic Details
Published in:Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Analytical technologies in the biomedical and life sciences, 2017-11, Vol.1068-1069, p.277-281
Main Authors: Şahan, Serkan, Şahin, Uğur, Başaran, Mustafa, Uzun, Oğuzhan, Güneş, Adem
Format: Article
Language:English
Subjects:
3,5 – Dimethylpyrazolium glyceroborate
Borates - analysis
Borates - chemistry
Chromatography, High Pressure Liquid - methods
Fertilizers - analysis
HPLC-DAD
Limit of Detection
Linear Models
Nitrification
Nitrification inhibitor
Nitrogen - chemistry
Nitrogen fertilizers
Pyrazoles - analysis
Pyrazoles - chemistry
Reproducibility of Results
Sensitivity and Specificity
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Summary:•An HPLC method was developed for the determination of 3,5 – dimethylpyrazole.•The method was validated for quality parameters of the measurement.•The validated method was firstly applied to analysis of the inhibitory fertilizer samples. 3,5 – Dimethylpyrazolium glyceroborate is a nitrification inhibitor (a member of pyrazole derivatives) used for the fixation of nitrogen into the soil. In this study, an HPLC-DAD method was developed and validated for determination of 3,5 – dimethylpyrazole in order to determine 3,5 – dimethylpyrazolium glyceroborate in fertilizer samples. For method development, analytical parameters like type of eluent solution and column filling material and device parameters like eluent flow rate, column oven temperature and measurement wavelength were all optimized. For method validation, implementations were performed for linearity, limit of detection (LOD), limit of quantification (LOQ), specificity, stability, intra- and inter-day precision and accuracy. The developed and validated method was used for inhibitor detection in nitrogenous fertilizers. Sample analyses were performed with 95.6–103.3% recovery rates and 0–4.61% relative errors.
ISSN:1570-0232
1873-376X
DOI:10.1016/j.jchromb.2017.10.050