An overview of technologies for immobilization of enzymes and surface analysis techniques for immobilized enzymes

Biotechnol Biotechnol Equip. 2015 Mar 4;29(2):205-220. doi: 10.1080/13102818.2015.1008192. Epub 2015 Feb 17.

Abstract

The current demands of sustainable green methodologies have increased the use of enzymatic technology in industrial processes. Employment of enzyme as biocatalysts offers the benefits of mild reaction conditions, biodegradability and catalytic efficiency. The harsh conditions of industrial processes, however, increase propensity of enzyme destabilization, shortening their industrial lifespan. Consequently, the technology of enzyme immobilization provides an effective means to circumvent these concerns by enhancing enzyme catalytic properties and also simplify downstream processing and improve operational stability. There are several techniques used to immobilize the enzymes onto supports which range from reversible physical adsorption and ionic linkages, to the irreversible stable covalent bonds. Such techniques produce immobilized enzymes of varying stability due to changes in the surface microenvironment and degree of multipoint attachment. Hence, it is mandatory to obtain information about the structure of the enzyme protein following interaction with the support surface as well as interactions of the enzymes with other proteins. Characterization technologies at the nanoscale level to study enzymes immobilized on surfaces are crucial to obtain valuable qualitative and quantitative information, including morphological visualization of the immobilized enzymes. These technologies are pertinent to assess efficacy of an immobilization technique and development of future enzyme immobilization strategies.

Keywords: atomic force spectroscopy; circular dichroism; entrapment; enzymes; immobilization; nanoscale; surface analysis.

Grants and funding

This work was supported by the Exploratory Research Grant Scheme from the Ministry of Higher Education Malaysia [grant number ERGS R.J130000.7826.4L132] and the GUP scheme [grant number Q.J130000.2626.08J13] from the Universiti Teknologi Malaysia (UTM).