Evaluation of Standard Changes in Enthalpy During Complex Formation of Mn(II), Ni(II), Cd(II) and Hg(II) with p-fluorobenzoylthioacetophenone
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2022.13.2.24Keywords:
Enthalpy, Monothio-β-diketones, Overall Stability Constant, p-fluorobenzoylthioacetophenone, Solution EquilibriaDimensions 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 stability constant values of the complexes of p-fluorobenzoylthioacetophenone with bivalent manganese, nickel, cadmium and mercury at different temperatures viz. 283K, 293K and 303K have been determined using Calvin-Bjerrum’s pH titration technique as adopted by Irving and Rossotti. Standard change in free energy at desired temperatures were evaluated with the help of data of overall stability constants using the thermodynamic expression, ΔG° = −2.303 RT Log β. The standard changes in enthalpy associated with the complex formation reactions were evaluated with the help of Isobar equation. The standard enthalpy change was also calculated by using Gibbs-Helmholtz equation. From values obtained, the standard changes in enthalpy associated with the above complex formation have been thoroughly discussed.Abstract
How to Cite
Downloads
Similar Articles
- Santosh T. Karmani, Sachin V. V. Acharekar, The impact of online degree programs on employment opportunities in contemporary India , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Rekha R., P. Meenakshi Sundaram, Trust aware clustering approach for the detection of malicious nodes in the WSN , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Merlin Sofia S, D. Ravindran, G. Arockia Sahaya Sheela, Clean Balance-Ensemble CHD: A Balanced Ensemble Learning Framework for Accurate Coronary Heart Disease Prediction , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- V Babydeepa, K. Sindhu, A hybrid feature selection and generative adversarial network for lung and uterus cancer prediction with big data , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- A. Kamatchi, Dr. V. Maniraj, An early classification of Alzheimer’s Disease with deep Features using Advanced Deep Learning Method (Graph Convolutional Neural Networks) , The Scientific Temper: Vol. 17 No. 03 (2026): The Scientific Temper
- C. Muruganandam, V. Maniraj, A Self-driven dual reinforcement model with meta heuristic framework to conquer the iot based clustering to enhance agriculture production , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- M. Prabhu, A. Chandrabose, Improving the resource allocation with enhanced learning in wireless sensor networks , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- M. Merla Agnes Mary, S. Britto Ramesh Kumar, DAJO: A Robust Machine Learning–Based Framework for Preprocessing and Denoising Fetal ECG Signals , The Scientific Temper: Vol. 16 No. 09 (2025): 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
- R. Sakthiraman, L. Arockiam, RFSVMDD: Ensemble of multi-dimension random forest and custom-made support vector machine for detecting RPL DDoS attacks in an IoT-based WSN environment , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
<< < 5 6 7 8 9 10 11 12 13 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Hashmat Ali, Nishant Soren, Rohit Kumar Ravi, Kunal Kumar, Anjali, Evaluation of Standard Changes in Free Energy During Complexation of p-chlorobenzoylthioacetophenone with Some Bivalent Transition Metals , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
