Raman hyperspectral imaging with multivariate analysis for investigating enzyme immobilization

Area of Science:

• Biocatalysis and Enzyme Engineering
• Analytical Chemistry
• Materials Science

Background:

• Directed enzyme evolution enhances biocatalysis for chemical transformations.
• Immobilizing evolved enzymes in microporous supports offers advantages like stability and reusability.
• Current analytical methods lack spatial and chemical detail for immobilized enzymes.

Purpose of the Study:

• To develop and evaluate a novel analytical methodology for studying enzyme immobilization.
• To investigate the spatial and chemical distribution of evolved enzymes on microporous supports.
• To provide a new tool for analyzing immobilized biocatalysts.

Main Methods:

• Raman hyperspectral imaging combined with principal component analysis (PCA).
• Application of the technique to evolved pantothenate kinase (PanK) immobilized on diverse porous resins.
• Multivariate analysis to distinguish enzyme, resin, and immobilization-related chemical species.

Main Results:

• Demonstrated the ability to spatially and spectrally resolve immobilized evolved enzymes.
• Successfully chemically distinguished between the enzyme, support resin, and relevant chemical species.
• Validated the use of Raman hyperspectral imaging as a powerful tool for enzyme immobilization analysis.

Conclusions:

• Raman hyperspectral imaging with PCA is a novel and effective method for analyzing immobilized enzymes.
• This technique offers detailed insights into enzyme distribution and chemical environment.
• The methodology has broad potential for analyzing protein and biomolecule immobilization in various applications.