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Optimum Parametric Parameters for Extraction of Tamarind Seeds Oil Using Response Surface Methodology (RSM) with Central Composite Design (CCD) and Multiple Regression Analysis (MRA)

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Abstract

This paper outlines the composition of tamarind seed oil, the various applications for its use, the different solvents used to extract it, and the results of the response surface methodology (RSM-CCD) studies conducted to optimize the extraction process. It summarizes the results of the studies, which found that ethanol and isopropanol are the most promising solvents for oil extraction. The optimal extraction conditions are 52.5 °C and 8:1 ratio solvent to solid ratio for 6 h of reaction time, which yielded a maximum of 8.86% extractable oil.

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Availability of Data and Materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

I would like to express my deep sense of gratitude to Dr. Bharat A. Bhanvase, Professor and Head Laxminarayan Institute of Technology, Chemical Engineering, RTM Nagpur University, Nagpur, for her wholehearted support and exceptional assistance for the completion of this research work.

Funding

The above study was not funded by any agencies or organizations.

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Authors and Affiliations

  1. Chemical Engineering Department, Laxminarayan Institute of Technology, RTM University of Nagpur, Nagpur, 440033, India

    Payal N. Bhautik, R. P. Ugwekar & Kudeep J. Singh

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  1. Payal N. Bhautik
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  2. R. P. Ugwekar
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  3. Kudeep J. Singh
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Contributions

All authors contributed to the study’s conception and design. Miss performed material preparation, data collection, and analysis. PNB, RPU and KS. PNB wrote the first draft of the manuscript. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Payal N. Bhautik.

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Bhautik, P.N., Ugwekar, R.P. & Singh, K.J. Optimum Parametric Parameters for Extraction of Tamarind Seeds Oil Using Response Surface Methodology (RSM) with Central Composite Design (CCD) and Multiple Regression Analysis (MRA). Natl. Acad. Sci. Lett. (2023). https://doi.org/10.1007/s40009-023-01367-z

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  • DOI: https://doi.org/10.1007/s40009-023-01367-z

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