105
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

Alternative method to improve the ethyl valerate yield using an immobilised Burkholderia cepacia lipase

, , &
Pages 327-337 | Received 22 Jan 2019, Accepted 28 May 2019, Published online: 24 Jun 2019
 

Abstract

This study is focussed on a biocatalysing chemical synthesis in order to produce a green apple flavour (ethyl valerate) using an immobilised lipase from Burkholderia cepacia. A strategy to improve the lipase stability during the esterification is used. In order to increase the ethyl valerate efficiency, an alternative method using the buffer pH to dissolve the lipase into alginate is proposed. Parameters of the immobilised lipase such as pH, temperature, activation energy and stirring speed are evaluated. The optimal condition using the substrate concentration and the lipase loading is provided. After 5 recyclability cycles, the immobilised lipase reveals a decreasing ∼25% in the ethyl valerate yield. An economical ester synthetising associated with the esterification efficiency is evidenced. This induces that a potential industrial application can be considered. This due to the demand for ethyl valerate in the flavour industry is required.

Disclosure statement

The authors declare that there is no conflict of interests regarding the publication of this paper.

Funding

The authors gratefully acknowledge the financial support provided by FAPESP (São Paulo Research Foundation, Brazil – Grants [2011/19394–3]).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 721.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.