Response Surface Methodology for Optimization of Antagonist Effect of Bacillus sp.-Reference-Cited by-同舟云学术

Response Surface Methodology for Optimization of Antagonist Effect of Bacillus sp.

Published:2024-06-30 Issue:1 Volume:5 Page:126-132
ISSN:2687-2315
Container-title:Recep Tayyip Erdoğan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi
language:
Short-container-title:

Author:

Uzun Yaylacı Ecren¹^ORCID

Affiliation:

1. RECEP TAYYIP ERDOGAN UNIVERSITY

Abstract

The study aimed to optimize bacterial culture conditions to enhance the antagonist effect of B. pumilus PJ_11 on V. vulnificus. The experiment designed by the Box Behnken method showed that the antagonistic effect was highest (26.44 mm) at 30°C, NaCl concentration 2%, and 18 hours. According to the coefficient values of the regression equation, temperature was more effective on the response than other parameters. The combined effect of two variables, temperature and NaCl concentration, was more effective than other combinations. The results showed that the Box-Behnken design was an adequate method to optimize three factors of culture conditions.

Publisher

Recep Tayyip Erdogan Universitesi

Reference21 articles.

1. Ananda Raja, R., Sridhar, R., Balachandran, C., Palanisammi, A., Ramesh, S., Nagarajan, K. (2017). Pathogenicity profile of Vibrio parahaemolyticus in farmed Pacific white shrimp, Penaeus vannamei. Fish & Shellfish Immunology, 67, 368–381. https://doi.org/10.1016/j.fsi.2017.06.020

2. Austin, B., Stuckey, L.E., Robertson, P.A.W., Effendi, I., Griffith, D.R.W. (1995). A probiotic strain of Vibrio alginolyticus effective in reducing disease caused by Aeromonas salmonicida, Vibrio anguillarum and Vibrio ordalli. Journal of Fish Disease, 18, 93–96. https://doi.org/10.1111/j.1365-2761.1995.tb01271.x

3. Basri, M., Rahman, R.N., Ebrahimpour, A., Salleh, A.B, Gunawan, E.R., Rahman, M.B. (2007). Comparison of estimation capabilities of response surface methodology (RSM) with artificial neural network (ANN) in lipase-catalyzed synthesis of palm-based wax ester. BMC Biotechnology, 7, 53. https://doi:10.1186/1472-6750-7-53.

4. Bentzon-Tilia, M., Sonnenschein, E.C., Gram, L. (2016) Monitoring and managing microbes in aquaculture—towards a sustainable industry. Microbial Biotechnology, 9, 576–584. https://doi.org/10.1111/1751-7915.12392

5. Box, G., Behnken, D. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455–475.