Rain tree (Samanea saman) seed oil: Solvent extraction, optimization and characterization

S. Chandra Sekhar; K. Karuppasamy; M. Vimal Kumar; D. Bijulal; N Vedaraman; Ravishankar Sathyamurthy

doi:10.1016/j.jobab.2021.04.005

Volume 6 Issue 3

Jul. 2021

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S. Chandra Sekhar, K. Karuppasamy, M. Vimal Kumar, D. Bijulal, N Vedaraman, Ravishankar Sathyamurthy. Rain tree (Samanea saman) seed oil: Solvent extraction, optimization and characterization[J]. Journal of Bioresources and Bioproducts, 2021, 6(3): 254-265. doi: 10.1016/j.jobab.2021.04.005

Citation:

S. Chandra Sekhar, K. Karuppasamy, M. Vimal Kumar, D. Bijulal, N Vedaraman, Ravishankar Sathyamurthy. Rain tree (Samanea saman) seed oil: Solvent extraction, optimization and characterization[J]. Journal of Bioresources and Bioproducts, 2021, 6(3): 254-265. doi: 10.1016/j.jobab.2021.04.005

Citation:

S. Chandra Sekhar, K. Karuppasamy, M. Vimal Kumar, D. Bijulal, N Vedaraman, Ravishankar Sathyamurthy. Rain tree (Samanea saman) seed oil: Solvent extraction, optimization and characterization[J]. Journal of Bioresources and Bioproducts, 2021, 6(3): 254-265. doi: 10.1016/j.jobab.2021.04.005

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Rain tree (Samanea saman) seed oil: Solvent extraction, optimization and characterization

doi: 10.1016/j.jobab.2021.04.005

a.
Department of Mechanical Engineering, N.B.K.R Institute of Technology(Autonomous), Vidyanagar-524 413, Andra Pradesh, India
b.
Department of Mechanical Engineering, Anna University Regional Campus, Tirunelveli, Tamil Nadu, 627007, India
c.
Department of Mechanical Engineering, M.A.M School of Engineering, Tiruchirappalli, 621 105, Tamil Nadu, India
d.
Department of Mechanical Engineering, Govt. Engineering College, Barton Hill, Thiruvananthapuram, 695035, Kerala, India
e.
Department of Chemical Engineering, Central Leather Research Institute (CSIR-CLRI), Chennai, Tamil Nadu, 600020, India
f.
Department of Mechanical Engineering, KPR Institute of Engineering and Technology, Arasur, Coimbatore, Tamil Nadu, 641407, India

More Information

Corresponding author: Corresponding author. Department of Mechanical Engineering, KPR Institute of Engineering and Technology, Arasur-641407, Coimbatore, Tamil Nadu, India
Department of Mechanical Engineering, N.B.K.R. Institute of Science and Technology, Vidyanagar-524 413, Andra Pradesh, India
Email addresses: raviannauniv23@gmail.com (Ravishankar Sathyamurthy); chandruthermal@gmail.com (S. Chandra Sekhar); Corresponding author. Department of Mechanical Engineering, KPR Institute of Engineering and Technology, Arasur-641407, Coimbatore, Tamil Nadu, India
Department of Mechanical Engineering, N.B.K.R. Institute of Science and Technology, Vidyanagar-524 413, Andra Pradesh, India
Email addresses: raviannauniv23@gmail.com (Ravishankar Sathyamurthy); chandruthermal@gmail.com (S. Chandra Sekhar)
Received Date: 2020-08-11
Accepted Date: 2021-03-19
Rev Recd Date: 2020-09-08

Available Online: 2021-04-07

Publish Date: 2021-07-21

Abstract

Abstract

The present investigation reports the soxhlet assisted solvent extraction technique to derive the oil from seeds of the rain tree. The optimization of the factors affecting the extraction process has been carried out by Response Surface Methodology (RSM) technique, and a Box-Behnken Design (BBD) consisting of three process variables has been developed to optimize the yield of oil. Using the RSM technique, the predicted optimum oil yield of 11.15% at an optimized condition of powder weight of 20 g, volume of solvent of 380 mL, and extraction time of 6 h. The physiochemical properties of the oil showed liquid greenish-yellow with 0.88, 1.473 of specific gravity and refractive index, respectively. Similarly, the moisture content, free fatty acid, acid value, saponification value, iodine value, and peroxide value were found to be 0.16%, 13.615, 27.23, 187.1 mg KOH per g oil, 65.8 g I₂ per 100 g, and 4.02 meq O₂ per kg, respectively. From the obtained results, it was found that the extracted oil could be used for various applications.
- Soxhlet apparatus,
- Response Surface Methodology,
- Box-Behnken design (BBD),
- Analysis of variance,
- mg per KOH g of oil

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References(40)

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