Predicting extreme thermal degradation of ascorbic acid (Vitamin C) using Bayesian-Inverse Weibull models: Applications in stability analysis and process optimization

Open Access

Peer-reviewed

Research Article

About the Authors

Rabia Azeem

Roles Conceptualization, Data curation, Methodology, Resources, Software, Writing – original draft

Affiliation Department of Mathematics and Statistics, Riphah International University, Islamabad, Pakistan

Muhammad Aslam

Roles Conceptualization, Formal analysis, Supervision

Affiliation Department of Mathematics and Statistics, Riphah International University, Islamabad, Pakistan

Tahir Mehmood

Roles Conceptualization, Formal analysis, Investigation

Affiliation School of Natural Sciences, National University of Sciences and Technology, Sector H-12, Islamabad, Pakistan

Laila A. Al-Essa

Roles Formal analysis, Funding acquisition, Writing – review & editing

Affiliation Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia

The authors have declared that no competing interests exist.

Vitamin C
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Forecasting
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Thermal stresses
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Bayesian statistics
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Medical risk factors
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Probability distribution
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Statistical models
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Thermal stability
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