Literature DB >> 18836967

A biosensor based on Bay leaf (Laurus nobilis L.) tissue homogenate: improvement of the stability characteristics by a simple bio-imprinted technique.

Mustafa Teke1, Mustafa Kemal Sezgintürk, Erhan Dinçkaya.   

Abstract

Although enzymes are effective biocatalysts that are widely used in biosensors, a major drawback that hampers many of these biotechnological applications of enzymes is their limited stability. Applications that use very pure, high value proteins need to employ effective stabilization technology, primarily due to cost considerations and availability of the proteins used. For this purpose, interest in bio-imprinting techniques increases because it allows stability characteristics of enzymes to be improved. In this study, a bio-imprinted Bay leaf (Laurus nobilis L.) tissue homogenate biosensor was devised by a very simple way. For this purpose, the enzymes, polyphenol oxidases in the bay leaf tissue, were first complexed by using their competitive inhibitor, thiourea, in aqueous medium and then this enzyme was immobilized on gelatin by crosslinking with glutaraldehyde on a Clark-type oxygen electrode surface. Similarly, noncomplexed polyphenol oxidase with thiourea was also immobilized on a Clark-type oxygen electrode in the same conditions. The aim of the study was to prepare a new biosensor-based Bay leaf tissue homogenate and to improve the stability characteristics such as thermal stability, pH stability, and storage stability, of the biosensor by bio-imprinting method. The results showed that this simple technique should be effectively used to improve the stabilities of a biosensor.

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Year:  2008        PMID: 18836967     DOI: 10.1080/10731190802375794

Source DB:  PubMed          Journal:  Artif Cells Blood Substit Immobil Biotechnol        ISSN: 1073-1199


  1 in total

1.  Automatic Identification of Myeloperoxidase Natural Inhibitors in Plant Extracts.

Authors:  Fátima A R Mota; Sarah A P Pereira; André R T S Araújo; Beatriz Gullón; Marieta L C Passos; Maria Lúcia M F S Saraiva
Journal:  Molecules       Date:  2022-03-11       Impact factor: 4.411

  1 in total

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