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Multi-response optimization of Artemia hatching process using split-split-plot design based response surface methodology
A novel method, BBD-SSPD is proposed by the combination of Box-Behnken Design (BBD) and Split-Split Plot Design (SSPD) which would ensure minimum number of experimental runs, leading to economical utilization in multi- factorial experiments. The brine shrimp Artemia was tested to study the combined...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5238432/ https://www.ncbi.nlm.nih.gov/pubmed/28091611 http://dx.doi.org/10.1038/srep40394 |
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author | Arun, V. V. Saharan, Neelam Ramasubramanian, V. Babitha Rani, A. M. Salin, K. R. Sontakke, Ravindra Haridas, Harsha Pazhayamadom, Deepak George |
author_facet | Arun, V. V. Saharan, Neelam Ramasubramanian, V. Babitha Rani, A. M. Salin, K. R. Sontakke, Ravindra Haridas, Harsha Pazhayamadom, Deepak George |
author_sort | Arun, V. V. |
collection | PubMed |
description | A novel method, BBD-SSPD is proposed by the combination of Box-Behnken Design (BBD) and Split-Split Plot Design (SSPD) which would ensure minimum number of experimental runs, leading to economical utilization in multi- factorial experiments. The brine shrimp Artemia was tested to study the combined effects of photoperiod, temperature and salinity, each with three levels, on the hatching percentage and hatching time of their cysts. The BBD was employed to select 13 treatment combinations out of the 27 possible combinations that were grouped in an SSPD arrangement. Multiple responses were optimized simultaneously using Derringer’s desirability function. Photoperiod and temperature as well as temperature-salinity interaction were found to significantly affect the hatching percentage of Artemia, while the hatching time was significantly influenced by photoperiod and temperature, and their interaction. The optimum conditions were 23 h photoperiod, 29 °C temperature and 28 ppt salinity resulting in 96.8% hatching in 18.94 h. In order to verify the results obtained from BBD-SSPD experiment, the experiment was repeated preserving the same set up. Results of verification experiment were found to be similar to experiment originally conducted. It is expected that this method would be suitable to optimize the hatching process of animal eggs. |
format | Online Article Text |
id | pubmed-5238432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52384322017-01-19 Multi-response optimization of Artemia hatching process using split-split-plot design based response surface methodology Arun, V. V. Saharan, Neelam Ramasubramanian, V. Babitha Rani, A. M. Salin, K. R. Sontakke, Ravindra Haridas, Harsha Pazhayamadom, Deepak George Sci Rep Article A novel method, BBD-SSPD is proposed by the combination of Box-Behnken Design (BBD) and Split-Split Plot Design (SSPD) which would ensure minimum number of experimental runs, leading to economical utilization in multi- factorial experiments. The brine shrimp Artemia was tested to study the combined effects of photoperiod, temperature and salinity, each with three levels, on the hatching percentage and hatching time of their cysts. The BBD was employed to select 13 treatment combinations out of the 27 possible combinations that were grouped in an SSPD arrangement. Multiple responses were optimized simultaneously using Derringer’s desirability function. Photoperiod and temperature as well as temperature-salinity interaction were found to significantly affect the hatching percentage of Artemia, while the hatching time was significantly influenced by photoperiod and temperature, and their interaction. The optimum conditions were 23 h photoperiod, 29 °C temperature and 28 ppt salinity resulting in 96.8% hatching in 18.94 h. In order to verify the results obtained from BBD-SSPD experiment, the experiment was repeated preserving the same set up. Results of verification experiment were found to be similar to experiment originally conducted. It is expected that this method would be suitable to optimize the hatching process of animal eggs. Nature Publishing Group 2017-01-16 /pmc/articles/PMC5238432/ /pubmed/28091611 http://dx.doi.org/10.1038/srep40394 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Arun, V. V. Saharan, Neelam Ramasubramanian, V. Babitha Rani, A. M. Salin, K. R. Sontakke, Ravindra Haridas, Harsha Pazhayamadom, Deepak George Multi-response optimization of Artemia hatching process using split-split-plot design based response surface methodology |
title | Multi-response optimization of Artemia hatching process using split-split-plot design based response surface methodology |
title_full | Multi-response optimization of Artemia hatching process using split-split-plot design based response surface methodology |
title_fullStr | Multi-response optimization of Artemia hatching process using split-split-plot design based response surface methodology |
title_full_unstemmed | Multi-response optimization of Artemia hatching process using split-split-plot design based response surface methodology |
title_short | Multi-response optimization of Artemia hatching process using split-split-plot design based response surface methodology |
title_sort | multi-response optimization of artemia hatching process using split-split-plot design based response surface methodology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5238432/ https://www.ncbi.nlm.nih.gov/pubmed/28091611 http://dx.doi.org/10.1038/srep40394 |
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