Assessment and Predictive Modeling of Bilberry Cactus Extracts as Green Corrosion Inhibitor for Mild Steel surface protection from hydrogen evolution

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Nsikan Etim Dan
OO Taiwo
Chukwuka Nwoye
Ajit Behera

Abstract

This paper presents an evaluation of the corrosion behavior of mild steel in hydrochloric acid solution. Mild steel corrosion rates were predicted within the range of 0.0036 - 0.0086gcm-2 h-1, considering hydrogen evolution rates between 0.0086 and 0.0568 ml cm-1 min-1. Bilberry cactus extract has high inhibition efficiencies due to corrosion & hydrogen evolution, reaching (44.76 - 70.83)% and (43.49 - 70.11)%, respectively. These results align closely with the predictions of the derived empirical model. The model expresses corrosion rate as an exponential function given by: where and are mild steel corrosion rate (gcm-2 h-1), hydrogen evolution rate (ml cm-1 min-1), inhibition efficiency due to weight loss or corrosion (%), and inhibition due to hydrogen evolution (%), respectively. These equalizing constants Ϧ and ẞ are 1.0034 and 19.036, respectively. Model predictions deviated by < 6.3% from experimental values, corresponding to an operational confidence level above 93.7%. Its validity is reinforced by the core expression: , where both sides are nearly equal. The standard error in predicting corrosion rates was only 0.0002%, confirming the model’s precision. Furthermore, correlation coefficients between the predicted corrosion rate and inhibition due to corrosion, inhibition due to hydrogen evolution, and the hydrogen evolution rate exceeded 0.94, underscoring the reliability of the model.

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Etim Dan, N., Taiwo, O., Nwoye, C., & Behera, A. (2026). Assessment and Predictive Modeling of Bilberry Cactus Extracts as Green Corrosion Inhibitor for Mild Steel surface protection from hydrogen evolution. Advances and Applications in Statistics and Probability, 1–7. https://doi.org/10.17352/aasp.000004
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Copyright (c) 2026 Dan NE, et al.

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