Optimization of lipase production using fungal isolates from oily residues

Molecular identification and lipolytic potential of filamentous fungi isolated from residual cooking oil

Filamentous fungi, microorganisms that develop and are located in different habitats, are considered important producers of enzymes and metabolites with potential for the biotechnology industry. The objective of this work was to isolate and identify filamentous fungi that grow in used oil. Two fungal species were characterised through their morphology and molecular identification. The DNA of each extracted strain was amplified by PCR using primers ITS1 and ITS4, obtaining sequences that were later in GenBank (NCBI). A white coloured strain (HB) with a cottony, white, hyaline morphology and irregular borders was observed; so too, a brown colony (HC) with a sandy surface, a well-defined border of beige colour in early growth until it became a dark brown colour. The identity result by homology of the sequences in the BLASTn database was 100% and 99.55%, indicating that they correspond to Cladosporiumtenuissimum and Fomitopsismeliae, respectively. Finally, the results in lipolytic activity show greater potential for Fomitopsismeliae with 0.61 U/l in residual oil. Thus, it is important to highlight the potential of this type of waste to favour the prospection of microorganisms for a sustainable alternative for future studies of biological conversion.

Rhizopus stolonifer biomass catalytic transesterification capability: optimization of cultivation conditions

BACKGROUND

Using fungal biomass for biocatalysis is a potential solution for the expensive cost of the use o enzymes. Production of fungal biomass with effective activity requires optimizing the cultivation conditions.

RESULTS

Rhizopus stolonifer biomass was optimized for transesterification and hydrolysis of waste frying oil (WFO). Growth and biomass lipolytic activities of R. stolonifer improved under shaking conditions compared to static conditions, and 200 rpm was optimum. As biomass lipase and transesterification activities inducer, olive oil was superior to soybean, rapeseed, and waste frying oils. Biomass produced in culture media containing fishmeal as an N-source feedstock had higher lipolytic capabilities than corn-steep liquor and urea. Plackett Burman screening of 9 factors showed that pH (5-9), fishmeal (0.25-1.7%, w/v), and KH2PO4 (0.1-0.9%, w/v) were significant factors with the highest main effect estimates 11.46, 10.42, 14.90, respectively. These factors were selected for response surface methodology (RSM) optimization using central composite design (CCD). CCD models for growth, biomass lipase activity, and transesterification capability were significant. The optimum conditions for growth and lipid modification catalytic activities were pH 7.4, fishmeal (2.62%, w/v), and KH2PO4 (2.99%, w/v).

CONCLUSION

Optimized culture conditions improved the whole cell transesterification capability of Rhizopus stolonifer biomass in terms of fatty acid methyl ester (FAME) concentration by 67.65% to a final FAME concentration of 85.5%, w/w.

Scale-up Lipase Production and Development of Methanol Tolerant Whole-Cell Biocatalyst from Magnusiomyces spicifer SPB2 in Stirred-Tank Bioreactor and Its Application for Biodiesel Production

This study aimed to economically develop the yeast whole-cell biocatalyst from the lipase-secreting Magnusiomyces spicifer SPB2 to serve green biodiesel production. The scaled-up productions of lipases were optimized using a 5-L stirred-tank bioreactor. The maximum extracellular lipase and cell-bound lipase (CBL) yields of 1189.65 U/L and 5603.74 U/L were achieved at 24 h and 60 h, respectively, in the modified IMY medium (pH 5.0) containing 2% of soybean oil as a carbon source and 0.2% Gum Arabic as an emulsifying agent. The optimized cultivation was initiated with an inoculum size of 1 × 107 cells/mL and conducted under an aeration rate of 0.75 vvm with an agitation speed of 400 rpm. The obtained whole-cell biocatalyst of M. spicifer SPB2 was applied to catalyze the transesterification reaction using palm oil and methanol as substrates. The greatest yield of 97.93% fatty acid methyl ester (FAME) was reached at 72 h using a palm oil/methanol ratio of 1:7, indicating high methanol stability of the biocatalyst. Moreover, substrate homogenization accelerated the reaction to achieve FAME production of 97.01% at 48 h and remained stable afterwards. Without homogenization, the highest FAME of 98.20% was obtained at 60 h. The whole-cell biocatalyst prepared from lipase-secreting M. spicifer SPB2 at an up-scaled level greatly enhanced efficiency and feasibility for commercial biodiesel production through a green conversion process.

Development of sequence-characterized amplified region (SCAR) markers for accurate and differential identification of multienzyme-producing and non-enzymatic Aspergillus strains of industrial importance

Aspergillus strains are known to produce multiple enzymes of industrial importance. To screen Aspergillus isolates and select a strain with the ability to produce multiple enzymes and discriminate it from non-enzymatic strains, a rapid and accurate approach is required. With this background, a DNA fingerprinting-based study was conducted to develop a simple but accurate molecular detection method with the potential to discriminate multienzyme-producing Aspergillus strains from non-enzymatic strains, irrespective of species. To achieve this, Enterobacterial Repetitive Intergenic Consensus (ERIC) PCR was employed to derive group-specific Sequence Characterized Amplified Region (SCAR) markers (i.e., markers corresponding to PCR amplicons of known DNA sequence). To this end, both group-specific (multienzyme-producing and non-enzymatic Aspergillus group) SCAR markers were sought by comparing the ERIC fingerprint profiles and used to develop primers for use in specific and differential identification of multienzyme-producing Aspergillus isolates. As an outcome, the two SCAR-PCR formats were developed. One format is for specific identification of multienzyme-producing Aspergillus strains (SCAR-PCR1), and the other for identifying non-enzymatic Aspergillus strains (SCAR-PCR2). Both SCAR-PCRs were able to discriminate between these two contrasting groups. These formats are simple but accurate and rapid compared to the time-consuming and laborious conventional methods. Therefore, they could be efficient as an alternative strategy for the high-throughput screening of industrially important Aspergillus strains.