Robert S Bertrand, Lisa Stephanie H Dizon, Luke Chapman, William E Holmes, Dhan Lord B Fortela, Andrei Y Chistoserdov, Rafael A Hernandez, Mark E Zappi, Emmanuel D Revellame
Methanotrophs are bacteria with the ability to directly utilize methane as substrate to produce different useful biomaterials (e.g., lipids, proteins, bioplastics, methanol). However, due to the solubility and mass transfer limitations of methane, the methanotroph biotechnology remains almost entirely in laboratory/research scale. To address this, studies in recent years have focused on increasing the methane volumetric mass transfer coefficient (kLa) through modifications of bioreactor design and operations. This review critically analyzed these advances, aiming to identify the most suitable strategy for methane bioconversion. The modifications were categorized, i.e., mechanical agitation, feed gas introduction system, and cultivation medium modification [including addition of a non-aqueous phase (NAP)], and their effectiveness was related to kLa and/or productivity metrics (PM) (i.e., yield, elimination capacity, and remediation efficiency). Studies that determined both kLa and PM were assessed using a new metric (∆PM/∆kLa, with ∆ as the difference between implemented strategy and control). This metric, which was independently determined for each study, allowed cross-study comparison of the effectiveness of the different modifications/strategies. A positively high ∆PM/∆kLa indicates greater emphasis on PM improvement (or biological performance) over kLa enhancement (or physical attributes) of the bioreactor system. While majority of strategies result in a positive ∆PM/∆kLa, two-phase partitioning bioreactors (TPPBs) exhibited the highest potential (i.e., highest ∆PM/∆kLa). The effectiveness of this strategy relies on the homogeneous dispersion of the added NAP. Although TPPB operation is more complex than conventional bioreactors, this review suggests that future research should consider TPPB strategies to address its complexity and economic viability.