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Glycerol is produced as a major byproduct in a biodiesel production process but it has been thrown out as a waste. The glycerol byproduct will increase rapidly in amount if the biodiesel commercialization is attainable, so a reforming technology is required for glycerol to be used as a high value product. In the present study, the catalytic activity of several supported catalysts for glycerol-steam reforming was measured. The glycerol conversion of Ni foam-supported catalyst was higher than that of other supported catalysts such as Al₂O₃, monolith, and SBA-15. The Ni foam-supported catalyst had a good thermal dispersion over the catalyst surface because it has higher thermal conductivity than other supported catalysts. However, hydrogen selectivity of all support catalysts showed the similar result except for SBA-15 supported catalyst on which C₂H₄ and C₂H₆ were produced.

This paper presents a comprehensive investigation of the various parameters involved in the fabrication of a molecularly imprinted polymer (MIP) sensor for the detection of cortisol. Parameters such as monomer concentration, electropolymerization cycles, pH, monomer–template ratio, template removal technique, and rebinding time were optimized to establish a more consistent and effective method for the fabrication of MIP sensors. Under the optimized conditions, the MIP sensor demonstrated a proportional decrease in differential pulse voltammetry peak currents with increasing cortisol concentration in the range of 0.1 to 100 nM. The sensor exhibited excellent sensitivity, with a limit of detection of 0.036 nM. Selectivity experiments using a non-imprinted polymer sensor confirmed the specific binding affinity of the MIP sensor for cortisol, distinguishing it from other steroid hormones. This study provides crucial insights into the development of a reliable and sensitive strategy for cortisol detection using O-PD-based MIPs. These findings laid the foundation for further advancements in MIP research.