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Statistical Optimisation of Rhamnolipid Production using a Pseudomonas putida Strain Cultivated on Renewable Carbon Sources of Waste Vegetable Oils

Statistische Optimierung der Rhamnolipid-Produktion unter Verwendun g eines Pseudomonas putida-Stammes, der auf nachwachsenden Kohlenstoffquellen aus pflanzlichen Altölen kultiviert wurde
Zulfiqar Ali Raza, Zafar M. Khalid, Naseer Ahmad and Bushra Tehseen

Abstract

Herein, synthesis of rhamnolipid surfactants was performed using a non-pathogenic Pseudomona s putida strain cultured on a variety of waste frying oils (WFOs) under Taguchi multi-objective optimization design. The effect of substrate types, fermentation setups and incubation time on the biomass concentration, rhamnolipid yield and surface tension of the cultivate media has been investigated. The results demonstrate that the multi-objectives investigation helps to document the optimal limits of the process parameters based on Gray relational analysis. After finding the optimal conditions, a validati on run was performed; therein, the rhamnolipid yield increased from 3.4 to 4.1 g/L; the biomass concentration decreased by 4.84% with an additional surface tension reduction of 2.19% due to an increase of rhamnolipids yield. Overall, soybean WFO was observed to be a preferred substrate for P. putida strain both under Taguchi design and the validation run. The present study proposes a low total of runs and optimum product yield under the Taguchi based multi-objective optimization.

Kurzfassung

In diesem Paper wurde die Synthese von Rhamnolipid- Tensiden unter Verwendung eines nicht pathogenen Pseudomonas putida-Stamms durchgeführt, der auf einer Vielzahl von Abfallbratölen (WFOs) mittels eines Taguchi-Versuchsplans mit Mehrzieloptimierung kultivier t wurde. Der Einfluss von Substrattypen, Fermentationsansätzen und Inkubationszeit auf die Biomassekonzentration, die Rhamnolipidausbeute und die Oberflächenspannung der Kultivierungsmedien wurde untersucht. Die Ergebnisse zeigen, dass die Mehrzieluntersuchung hilft, die optimalen Grenzen der Prozessparameter auf der Grundlage einer Gray-Relational-Analyse zu dokumentieren. Nachdem die optimalen Bedingungen gefunden worden waren, wurde ein Validierungslauf durchgeführt. Dabei erhöhte sich die Rhamnolipidausbeute von 3,4 g/L auf 4,1 g/Ll; die Biomassek onzentration sank um 4,84% bei einer zusätzlichen Oberfläch enspannungsreduzierung von 2,19% aufgrund der erhöhten Ausbeute an Rhamnolipiden. Insgesamt wurde beobachtet, dass Sojabohnen-WFO ein bevorzugtes Substrat für den P. putida-Stamm sowohl unter dem Taguchi-Versuchsplan als auch bei dem Validierungslauf ist. Die vorliegende Studie schlägt eine geringe Gesamtzahl an Durchläufen und eine optimale Produktausbeute im Rahmen der Taguchi-basierten Mehrzieloptimierung vor.


Correspondence address, Dr. Zulfiqar Ali Raza, Department of Applied Sciences, National Textile University, Faisalabad-37610, Pakistan, Tel.: +92419230081, Fax +92419230098, E-Mail:

Dr. Raza is Associate Professor of Chemistry at National Textile University (NTU), Faisalabad, Pakistan. He is regarded among the pioneers who have initiated research activities and culture in the NTU by establishing chemistry research laboratories there. He originat ed the application of biotechnology in the conventional and advanced textile processes and products at NTU. He has published numerous publications in application of biotechnology in various sectors of science and technology.

Dr. Khalid is Professor of Biotechnology at International Islamic University, Islamabad, Pakistan. He has research interest in environmental biotechnology with special focus on bioremediation. He has published a lot in this area.

Dr. Ahmad is Assistant Professor of Statistics National Textile University, Faisalabad, Pakistan. He has research interest in applied statistics with special focus on multi-re sponse optimization. He has published many papers in this area.

Ms. Tehseen is PhD Scholar in Biotechnology at National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan.


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Received: 2019-01-02
Accepted: 2019-03-13
Published Online: 2020-01-23
Published in Print: 2020-01-21

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