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A reduced order model is obtained using modal truncation.
Starting from this work, a second order model is here proposed.
The pseudo-second order model is based on assumption that biosorption follows a second order mechanism.
A second order model is proposed to determine the impact of these parameters.
A reduced order model is developed based on the mechanistic model of the process.
The manifold-based reduced order model is verified using common principles from the machine-learning community.
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Here, the zero-order model is not suitable to explain the entire system, which is reflected by modeling data that do not form a straight line (Figure 10a).
The reduced-order model is of size (r=58).
A refined higher-order model is here presented.
Starting from this work, a second-order model is proposed here.
Therefore, Pseudo-second-order model is highly applicable for this adsorption process.
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