Analytical Method Development and Validation Analysis for Quantitative Assessment of Thifluzamide by HPLC Procedure
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2022.13.1.21Keywords:
Thifluzamide , Robust, Precision, Linearity and Stability.Dimensions Badge
Issue
Section
License
Copyright (c) 2022 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The precise, systematic, explicit, particular, linear, exact and robust scientific method was developed and validated for the assay of Thifluzamide in THIFLUZAMIDE 24% SC(CILPYROX) fungicide. Presently utilized Thifluzamide as a working standard having limit f assay of Thifluzamide in THIFLUZAMIDE 24% SC (CILPYROX) fungicide are not less than 95.0%. Acetonitrile, water and Phosphoric acid in the ratio (60:40:0.1 v/v/v) used as mobile phase and flow rate 1.0 ml / min. with 10 minutes run time. The detection was carried at 230 nm with column c18 - 250mm x 4.6mm x 5μ and ambient column temperature was maintained. The linearity of this method was found to be linear with a coefficient of regression at 0.999 in the concentration range of 50% to 150%. The linear regression equation was y=2174x-135.8. The present developed HPLC method is detected to be suitable. The analytical solution was detected to be stable up to 48 Hrs at room temperature.Abstract
How to Cite
Downloads
Similar Articles
- Muhammed Jouhar K. K., K. Aravinthan, A bigdata analytics method for social media behavioral analysis , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- V. Babydeepa, K. Sindhu, Piecewise adaptive weighted smoothing-based multivariate rosenthal correlative target projection for lung and uterus cancer prediction with big data , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- V. Manikandabalaji, R. Sivakumar, V. Maniraj, A novel approach using type-II fuzzy differential evolution is proposed for identifying and diagnosis of diabetes using semantic ontology , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Annalakshmi D, C. Jayanthi, A secured routing algorithm for cluster-based networks, integrating trust-aware authentication mechanisms for energy-efficient and efficient data delivery , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Rajeshwari D, C. Victoria Priscilla, An optimized real-time human detected keyframe extraction algorithm (HDKFE) based on faster R-CNN , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- B. Kalpana, P. Krishnamoorthy, S. Kanageswari, Anitha J. Albert, Machine learning approaches for predicting species interactions in dynamic ecosystems , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Kavitha V, Panneer Arokiaraj S., RPL-eSOA: Enhancing IoT network sustainability with RPL and enhanced sandpiper optimization algorithm , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- A. Sathya, M. S. Mythili, MOHCOA: Multi-objective hermit crab optimization algorithm for feature selection in sentiment analysis of Covid-19 Twitter datasets , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- S. Dhivya, S. Prakash, Power quality assessment in solar-connected smart grids via hybrid attention-residual network for power quality (HARN-PQ) , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Sathya R., Balamurugan P, Classification of glaucoma in retinal fundus images using integrated YOLO-V8 and deep CNN , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 6 7 8 9 10 11 12 13 14 15 > >>
You may also start an advanced similarity search for this article.

