Bioprospecting Soil Bacteria for Protease Production Using Agro-Waste: Toward Sustainable Detergent Formulations
摘要
Microbial proteases, particularly from soil-dwelling Bacillus species, are preferred over plant- and animal-derived enzymes due to their high yield, stability, and cost-effectiveness for large-scale production in industries. This study aimed to isolate and characterize potent protease-producing bacteria from soil and explore their application in developing a sustainable, bio-based stain remover. The formulation incorporates waste (citrus fruit peel and flower), promoting the valorization of agro-waste as part of a sustainable waste management strategy.
Methods and ResultsSoil samples collected from market waste disposal sites in Madurai, Tamil Nadu, yielded eight distinct bacterial isolates, among which strain S-5 showed the highest proteolytic activity on skimmed milk agar. Molecular identification confirmed the isolate as Bacillus aerius based on 16S rRNA sequencing.The crude enzyme extract obtained after 48 h of incubation exhibited maximum proteolytic activity at pH 11, with an activity of 0.928 U/mL. This confirms that enzyme production improves at higher pH levels. A biodegradable stain remover was prepared by combining the crude protease extract with citrus peel extract in water and ethanol formulations. The prepared formulation effectively removed oil, paint, and dye stains from cotton cloth within 20 min of treatment without mechanical rubbing, whereas control samples showed minimal stain removal. Ethanol-based formulations demonstrated higher cleaning efficiency compared to water-based extracts, showing extensive stain removal in all replicates, while control treatments showed only minor or minimal removal.
ConclusionThe integration of microbial proteases from soil-derived bacteria with agro-waste components produced an eco-friendly stain remover, offering a sustainable alternative to chemical detergents and promoting waste valorization in circular economy-based green product development.
Graphical Abstract