Abstract
The current study presents a method based on Optical Coherence Tomography (OCT) for non-destructive, real-time analysis and portrayal of immobilization efficacy for lipase on a natural matrix namely, eggshell. Subsequently, qualitative biochemical reaction kinetics of immobilized lipase was also studied. Successful immobilization of lipase on eggshell was confirmed by the presence of a clear peak in ‘A’ scan of OCT image. From immobilization kinetics it is clearly observed that the thickness of the highest peak of the A-scan increases significantly and peak intensity saturated after 90 min of incubation. Hydrolysis of oil using immobilized lipase indicated that the release of free fatty acids increased up to 8 h during reaction and the result was in accordance with the ‘B’ scan data of the OCT system. Changes in scattering coefficient-based analysis were performed with respect to incubation time to showcase the immobilization process and hydrolysis reaction of lipase. Scanning electron microscope analysis with smoother surface indicated presence of lipase on eggshell matrices, with no further change after oil hydrolysis.
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Acknowledgements
This work is supported by Department of Science and Technology (Science and Engineering Research Board) Govt. of India under project no. EMR/2015/001757, Indian council of medical research (ICMR) under project no: ICMR-EMR (5/20/21(Bio)/2014-NCD-I) and TEQIP-III, Birla Institute of Technology, Mesra. Authors acknowledge CIF, BIT Mesra, Ranchi for performing SEM analysis.
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MM and ZA are involved in sample preparation, mathematical model building, OCT data analysis and manuscript writing. SC contributed towards the development of immobilized lipase, oil hydrolysis, SEM analysis and manuscript preparation, where RP is involved in overall monitoring and manuscript writing.
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Mohan, M., Alam, Z., Poddar, R. et al. Real-time assessment and characterization of immobilized lipase onto a natural matrix and qualitative reaction kinetic studies using swept-source optical coherence tomography. 3 Biotech 10, 423 (2020). https://doi.org/10.1007/s13205-020-02408-w
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DOI: https://doi.org/10.1007/s13205-020-02408-w