• Log In
  • New issue alert
  • Submit a manuscript
  • Register
  • Home
  • About
  • Editorial Board
  • Search
  • Archives
  • Current
  • Forthcoming

Share

Article Panel


Vol 16, No 6 (2013)
»Table of Contents
Reading Tools
  • About the author
  • How to cite this article
  • Indexing metadata
  • Print version
  • Look up terms
  • Finding References
  • Review policy

Related items
  • Author's work


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivatives 4.0 International.
Studies on statistical optimization of sulforaphane production from broccoli seed | Wu | Electronic Journal of Biotechnology
doi: 10.2225/vol16-issue6-fulltext-16
Electronic Journal of Biotechnology, Vol 16, No 6 (2013)

Studies on statistical optimization of sulforaphane production from broccoli seed

Yuanfeng Wu, Jianwei Mao, Lehe Mei, Shiwang Liu



Abstract

Background: Natural sulforaphane (SF) has been of increasing interest for nutraceutical and pharmaceutical industries due to its anti-cancer effect. The main objective of the present work was to optimize the production of SF from broccoli seed using response surface methodology.

Results: Three major factors (hydrolysis time, water volume and ethyl acetate volume) were screened out through Plackett-Burman (PB) factorial design. The methods of steepest ascent combined with central composite design (CCD) were employed for optimization of the SF production process. The optimal extraction conditions for SF production were a hydrolysis time of 13 min, a hydrolysis volume/weight ratio of 2.9:1 (v/g) and an extraction volume/weight ratio of 17.5:1 (v/g). The maximum SF yield was 14.8 ± 0.1 mg/g, a value that was in perfect agreement with the actual experimental value (14.8 mg/g).

Conclusions: These results suggested that PB design combined with CCD were proved effective in screening and optimization of the parameters of SF production.




Full Text: | HTML | Reprint PDF | HTML

ISSN:  0717-3458

Contact: edbiotec@pucv.cl

Pontificia Universidad Católica de Valparaíso
Av. Brasil 2950, Valparaíso, Chile
Copyright © 1997- 2023 by Electronic Journal of Biotechnology