- Scholar, Department of Mechanical Engineering, Delhi Technological University, Delhi, India
- Associate Professor, Department of Mechanical Engineering, Delhi Technological University, Delhi, India
Peppermint is medicinal herb, and its extracts (essential oils) are of great importance because they are used in pharmaceutical, food, and cosmetic items. Moreover, peppermint oil is also used as anticancer, anti-bacterial, anti-viral, spasmodic, anti-diabetic, ulcer healing, anti-obesity, etc. Steam distillation method is used to extract essential oil from peppermint. Boiler, extraction unit, condenser
and Florentine flask are the main components of steam distillation system. The objective of present study is to develop a linear relationship for predicting peppermint essential oil yield using a regression model. Peppermint batch size was used as an input variable in linear regression model based on simple correlation analysis. Furthermore, operational performance parameters such as
productivity and essential oil yield are determined in this study. Experiments were performed for different batch sizes of peppermint (1000 to 2000 kg) for 5 days. Higher productivity and essential oil yield are obtained for higher batch sizes of peppermint. Productivity and EOY increased from 9 to 19 kg and 0.9 to 0.94% (w/w) with increasing batch size from 1000 to 2000 kg, respectively. Results
showed that linear relation of batch size of peppermint with yield was obtained based on the performance of Pearson’s coefficient and regression coefficient (Adj-R2). Pearson coefficient and Adj- R2 were obtained as 0.99516 and 0.99016. The Pearson and regression coefficient values show that the regression model provided a better correlated output for yield of peppermint. Developed
empirical relation provides a powerful tool for investigating the relationship between essential oil yield (output variable) and batch size of peppermint (input variable).
Keywords: peppermint, herb, bricks, concrete, steel
This article belongs to Conference RAMMTE-2022: Recent Advances in Materials, Manufacturing and Thermal Engineering
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|Received||August 27, 2022|
|Accepted||November 24, 2022|
|Published||November 30, 2022|