Response surface approach to optimize temperature, pH and time on antioxidant properties of Wild Bush (Plectranthus rugosus) honey from high altitude region (Kashmir Valley) of India

Abstract This work studied the effect of drying temperature and duration on some physical and mechanical properties of two varieties of kola nuts using a response surface methodology approach. Physical properties determined were length, breadth, thickness, sphericity, aspect ratio, colour and moisture loss, while mechanical properties were force at break, yield, and peak, deformation at break and peak, energy to peak, energy to break, and yield, and Young modulus. At 5% level of significance, only mass, moisture loss, and sphericity were the physical properties affected. However, all measured mechanical properties were affected by drying temperature and duration (p<0.05).

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Optimization of oil and pectin extraction from orange (Citrus sinensis) peels: a response surface approach

Journal of Analytical Science & Technology ◽

10.1186/s40543-018-0151-3 ◽

2018 ◽

Vol 9 (1) ◽

Cited By ~ 10

Author(s):

Olugbenga Abiola Fakayode ◽

Kingsley Emmanuel Abobi

Keyword(s):

Response Surface ◽

Citrus Sinensis ◽

Surface Approach

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Stepwise Response Surface Method and its Application in Reliability Analysis of Ship Hull Structure

Journal of Offshore Mechanics and Arctic Engineering ◽

10.1115/1.1493199 ◽

2002 ◽

Vol 124 (4) ◽

pp. 226-230 ◽

Cited By ~ 11

Author(s):

Lei Yu ◽

Purnendu K. Das ◽

Yunlong Zheng

Keyword(s):

Response Surface ◽

Goodness Of Fit ◽

Weighting Factor ◽

Small Sample ◽

Surface Approach ◽

Hull Structure ◽

One Step ◽

Actual Contribution ◽

Sample Set ◽

Robust Response

A stepwise response surface approach is proposed in this paper. The response surface is determined by modified stepwise regression, so that the square and cross terms can be absorbed into the model automatically according to their actual contribution, which is calculated by repeated variance analysis. Besides, by applying a weighting factor to the statistical value of contribution and changing the thresholds of introduction and rejection, the entry of each term can be controlled in a fairly flexible manner. None other criteria than those in the traditional statistics are needed to check the goodness of fit. Considering the relatively small sample set at the beginning, the algorithm starts with a linear response surface. As the adaptive iteration proceeds, the bar to quadratic terms is lifted gradually to allow ordered entry. Since the sampling points in one step of iteration are recycled in the succeeding ones, a simple experimental design is enough to fit a robust response surface. A double bottom hull system is analyzed with randomized Young’s modulus, load distribution, and geometric properties. The sensitivity analysis is also performed with respect to the random variables and the parameters in their distributions.

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