Optimization of oil extraction from giant bushel gourd seeds using response surface methodology

Abstract

Gourd seeds have been identified as a source of edible oil, but there is sparse literature on the effect of processing factors on the characteristics of oil extracted from any Lagenaria spp. Optimization of oil extraction with the aid of expeller was achieved by applying response surface methodology. The variables were roasting temperature (87.70-172.0°C) and roasting duration (7.93-22.07 min), while the responses were oil yield and oil quality (free fatty acid, color, specific gravity, saponification value, moisture, and refractive index). Data obtained were analyzed at P < 0.05. Roasting conditions significantly influenced all the responses at P < 0.05. The optimum roasting condition was 100°C for 20 min, which gave 27.62% oil yield with good quality attributes (free fatty acid: 0.61%, color: 3.47 abs, specific gravity: 0.90 g/mL, saponification value: 289.66 mL, and refractive index: 1.47). 760

Effect of Roasting Temperature and Duration on the Quality of Oil from Walnut (Plukenetia conophorum) Using Response Surface Methodology

“…Akinoso [3] who worked on palm kernel also reported a maximum oil yield (47%) which is higher than that recorded in this work. However, the yield recorded in this study was found to be slightly higher than the maximum yield (32.6%) reported by Popoola, et al [19] who worked on egusi igba bottle gourd seed. This observed variation might be attributed to varietal differences in the oil plant as well as some other factors among which include variations in oil yield to plant variety, methods of oil expression, efficiency of the equipment, cultivation, climate, ripening stage and harvesting time of the seed among others, all of which allow easy flow of the oil [24,25,3].…”

“…A modified method by Popoola, et al [19] was used. The walnut oil was expressed using handmade Piteba screw oil expeller (Holland).…”

Optimization of solvent extraction conditions of Cambodian soybean oil using response surface methodology

“…RSM mainly identifies the response by using given process variables following experimental designs, such as central composite design (CCD), that fit an empirical full second-order polynomial model. In previous studies (Aydar, 2018;Bokhari, Yusup, & Ahmad, 2012;Nde & Foncha, 2020;Popoola, Akinoso, & Raji, 2016;Yolmeh & Jafari, 2017), CCD has been used for the optimization of process parameters during oil extraction and provided successfully optimized conditions. Therefore, the current study aims to determine the effect of different solvents on soybean oil yield and to optimize the extraction conditions, including solvent-solid ratio and extraction time, using RSM.…”

Quality assessment of oil from Parkia filicoidea (Mkundi) seeds

“…With an ever increasing demand for vegetable oils for food and industrial applications, there is need for considerable expansion of oilseed crop production (Çamaş et al, 2007). This expansion can be achieved by exploring other sources of vegetable oils, especially underutilized oilseeds (Popoola et al, 2016).…”

“…These conventional sources of vegetable oil have little impact on meeting the increasing demand of vegetable oil for both human and industrial use. Hence, there is need to supplement the supplies with other sources, especially underutilized oilseeds (Popoola et al, 2016). With the current research trend towards the use of unconventional oil seeds for commercial vegetable oil production, it is worthwhile to examine the physico-chemical characteristics of oils from some of these less common seeds that, at present, exist as uncultivated types in order to explore their wider exploitation.…”