Modeling of exo-inulinase biosynthesis by Kluyveromyces marxianus in fed-batch mode: correlating production kinetics and metabolic heat fluxes

Abstract

A metabolic heat-based model was used for estimating the growth of Kluyveromyces marxianus, and the modified Luedeking-Piret kinetic model was used for describing the inulinase production kinetics. For the first time, a relationship was developed to relate inulinase production kinetics directly to metabolic heat generated, which corroborated well with the experimental data (with R values of above 0.9). It also demonstrated the predominantly growth-associated nature of the inulinase production with Luedeking-Piret parameters α and β, having values of 0.75 and 0.033, respectively, in the exponential feeding experiment. MATLAB was used for simulating the inulinase production kinetics which demonstrated the model's utility in performing real-time prediction of inulinase concentration with metabolic heat data as input. To validate the model predictions, a biocalorimetric (Bio RC1e) experiment for inulinase production by K. marxianus was performed. The inulinase concentration (IU/mL) values acquired from the model in were validated with the experimental values and the metabolic heat data. This modeling approach enabled the optimization, monitoring, and control of inulinase production process using the real-time biocalorimetric (Bio RC1e) data. Gas chromatography and mass spectrometry analysis were carried out to study the overflow metabolism taking place in K. marxianus inulinase production.

Monitoring β-Fructofuranosidase Activity through Kluyveromyces marxianus in Bioreactor Using a Lab-Made Sequential Analysis System

“…The yeast K. marxianus has the potential to produce β-fructofuranosidases, which are enzymes capable of hydrolyzing β-fructofuranosides links of fructans to obtain fructooligosaccharides. It is important to understand the dynamics associated with the production of the enzyme under favorable and inhibited conditions in the bioreactor [46,47]. The DNS methodology has been applied in diverse flow systems [20][21][22], i.e., to detect sugar content in beverages or to validate self-made amperometric sensors.…”

Techno-Economic Analysis and Life Cycle Assessment of Pineapple Leaves Utilization in Costa Rica

“…It was selected for its admirable thermotolerance and wide breadth of materials/substances that it can process (such as lactose and xylose), as well as how quickly it grew. Additionally, K. marxianus produces different enzymes (phytase [9], β-galactosidase [10], inulinase [11], and polygalacturonases [12]) that will assist in the conversion of organic residue into valuable resources. Moreover, K. marxianus, one of the generally regarded-as-safe (GRAS) yeast species originally selected from cheese production, has potential as a probiotic yeast and as a food additive for humans and animal feed [13].…”

Production of renewable fuel and value-added bioproducts using pineapple leaves in Costa Rica

“…In addition, K. marxianus can produce different enzymes (e.g. pectinase and inulinase) which contribute to the biological conversion of agricultural residues into value-added products [29][30][31]. Moreover, K. marxianus has potential as a probiotic yeast and can be used as a food additive for human food and animal feed production [32][33][34][35].…”