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Computer-Assisted Statistical Analysis of L-Methionine Protonation Equilibria in The Anionic, Cationic, and Neutral Micellar Systems

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Accelerating Discoveries in Data Science and Artificial Intelligence II (ICDSAI 2023)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 438))

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Abstract

At 303 K, the effect of anionic surfactant (Sodium lauryl sulfate), cationic surfactant (cetrimonium bromide), and neutral surfactant (Triton X-100) on the dissociation equilibria of L-Methionine was investigated at varying strengths (0.0, 0.5, 1.0, 1.5, 2.0, and 2.5%) of SLS, CTAB, and TX-100 liquid containing 0.16 mol dm−3 NaCl. The dissociation constants were calculated with the help of the programming language MINIQUAD75, and the models that will provide the best-fit models were recognized with the use of crystallographic R factor, χ2, skewness, and kurtosis for the purpose of statistical analysis. These dissociation constant values are shifted in micellar media while estimated these values in pure water. In the case of charged and neutral micelles, the discrepancies in values have been attributed to the solvent characteristics of the interfacial and the bulk phases, which include contributions from the electrostatic potential of the micellar surface. The trend of log values of step-wise dissociation constants with medium composition has been characterized by using electrostatic and non-electrostatic forces acting on dissociation equilibria. Further, species abundances, dissociation dynamics, and the influence of requisite factors on dissociation constants are displayed.

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Author information

Authors and Affiliations

  1. Department of Chemistry, Dr. V. S. Krishna Govt. Degree(A) & P. G. College, Visakhapatnam, Andhra Pradesh, India

    R. Neeraja

  2. Department of Chemistry, Aditya Institute of Technology and Management, Tekkali, India

    M. Ramanaiah

  3. Department of Chemistry, Government College for Women(A), Srikakulam, Andhra Pradesh, India

    V. S. Narayana

  4. Department of Engineering Chemistry, AUCE(A), Andhra University, Visakhapatnam, India

    G. Hima Bindu

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  1. R. Neeraja
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  4. G. Hima Bindu
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Editor information

Editors and Affiliations

  1. Information & Decision Sciences, College of Business and Public Administration, California State University, San Bernard, San Bernardino, CA, USA

    Frank M. Lin

  2. Computer & Information Science, University of Massachusetts Dartmouth, Dartmouth, MA, USA

    Ashokkumar Patel

  3. Department of Computer Science, Central University of Rajasthan, Ajmer, Rajasthan, India

    Nishtha Kesswani

  4. Lendi Institute of Engineering and Technology, Vizianagaram, Andhra Pradesh, India

    Bosubabu Sambana

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Neeraja, R., Ramanaiah, M., Narayana, V.S., Hima Bindu, G. (2024). Computer-Assisted Statistical Analysis of L-Methionine Protonation Equilibria in The Anionic, Cationic, and Neutral Micellar Systems. In: Lin, F.M., Patel, A., Kesswani, N., Sambana, B. (eds) Accelerating Discoveries in Data Science and Artificial Intelligence II. ICDSAI 2023. Springer Proceedings in Mathematics & Statistics, vol 438. Springer, Cham. https://doi.org/10.1007/978-3-031-51163-9_6

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