Simultaneous Optimization of Multiple Responses Using a Weighted Desirability Function

Park, Sung Hyun; Park, Jun-Oh

doi:10.1007/978-1-4612-1776-3_24

Cited by 26 publications

(15 citation statements)

References 6 publications

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“…When there are few process variables, one method is to overlay the contour plots i.e., graphical method. Another method of solving the optimization problem is by desirability function where all the responses are combined into one measurement (Park and Park 1997). In the present study optimization was done using desirability function that aimed at finding the levels of process variables, which would give maximum yield of starch.…”

Section: Optimization Of Starch Isolation Process From Taro Tubermentioning

confidence: 99%

Optimization of starch isolation from taro using combination of enzymes and comparison of properties of starches isolated by enzymatic and conventional methods

2014

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The optimization of enzymatic starch isolation process from taro tubers using cellulase and xylanase was carried out. The functional properties of starch isolated by optimized enzymatic process were compared with starch isolated by conventional method without the use of enzymes. A central composite rotatable design (CCRD) with four numerical factors was employed to design the experiments. The numerical factors were cellulase concentration (0-100 U/100 g tuber), xylanase concentration (0-100 U/100 g tuber), temperature of incubation (30-50 °C) and incubation time (1-5 h). Statistical analysis showed that the main effects of all the factors were significant on starch yield and effect of cellulase was more significant compared to xylanase. The effectiveness of xylanase in increasing the yield of starch from taro tubers confirmed that xylan is an important component of the cell walls of taro tubers. The optimized condition with maximum starch yield (17.22 %) was obtained when cellulase and xylanase concentration were 299.86 and 300 U/100 g tuber, temperature was 35 °C and incubation time was 2 h. The swelling of the starch granules increased whereas solubility decreased for enzymatic method. The clarity of the starch paste isolated by enzymatic method was found to be better compared to the clarity of starch paste isolated by conventional method. The pasting temperature of the starch paste was slightly higher and viscosity was lower for the starch isolated by enzymatic method. Freeze-thaw stability of the starch paste was also found to be better for the enzymatically isolated starch.

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Section: Optimization Of Starch Isolation Process From Taro Tubermentioning

confidence: 99%

Optimization of starch isolation from taro using combination of enzymes and comparison of properties of starches isolated by enzymatic and conventional methods

2014

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“…A Pareto chart contrasting the t-values and p-values of each factor were generated. Finally, a two-sided desirability model was achieved for each prognostic factor, according to the mentioned regression model and setting upper and lower limit of LQrv at 22 and 40, representing the lowest and highest desirability values, respectively [117,118]. Subsequently, the partial desirability functions (d i ) were combined into a single composite global desirability function, defined as the geometric mean of the different d i values, implying that all responses are in a desirable range simultaneously and the combination of the different criteria is therefore globally optimum, so the response values are near the target values.…”

Section: Data Handling and Statistical Analysismentioning

confidence: 99%

Olfactory-Related Quality of Life in Multiple Chemical Sensitivity: A Genetic-Acquired Factors Model

Micarelli

Cormano²,

Caccamo³

et al. 2019

IJMS

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Genetic polymorphisms as well as environmental exposures to chemical compounds, iatrogenic, psychological, and physical trauma may play a pathophysiological role in multiple chemical sensitivity (MCS) olfactory complaints, given that xenobiotic metabolism is influenced by sequence variations in genes of metabolizing enzymes. Thus, the aim of the present study was to depict—by means of multiple regression analysis—how different genetic conditions, grouped according to their function as well as clinical background and environmental exposure may interfere with those olfactory complaints referred by MCS patients. Therefore, MCS patients after gene polymorphism sequencing, the olfactory-related quality of life score—calculated by means of the Questionnaire of Olfactory Disorder in forty-six MCS patients—have been found to significantly rely on the phase I and II enzymes score and exposure to previous compounds and surgical treatments. The present work—implementing for the first time a genetic-acquired factors model on a regression analysis—further reinforces those theories, positing MCS as a complex, multifactorial, disease in which the genetic risk related to phase I and II enzymes involved in xenobiotic detoxification, olfactory, and neurodegenerative diseases play a necessary, but probably not sufficient role, along the pathophysiological route of the disease.

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“…The optimum solutions (a high hardness while maintaining a relatively low lnCSR value) were obtained from SAS 9.4 using the Grid-search method, which could be used to find an optimum for the overall desirability (Park and Park 1998). Based on the predicted data for hardness and lnCSR and Eqs.…”

Section: Desirability Functions Of Compression Set Recovery and Hardnessmentioning

confidence: 99%

Optimization of the Thermo-Hygromechanical (THM) Process for Sugar Maple Wood Densification

Fu¹,

Cloutier²,

Laghdir³

2016

BioResources

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Densified wood is a promising engineered wood product, especially for heavy-duty applications. This study optimized the temperature and duration of the thermo-hygromechanical (THM) densification process applied to sugar maple (Acer saccharum Marsh.) wood. The response variables studied were compression set recovery and hardness. The THM densification process was performed at three temperatures (180°C, 200 °C, and 220 °C), densification times (450 s, 900 s, and 1350 s), and posttreatment times (900 s, 1350 s, and 1800 s). Response surface methodology was used to analyze the impact of the three parameters. The effect of temperature on the density profile across thickness was also determined. The results suggested that the optimum densification conditions resulting in high hardness and low compression set recovery were obtained at a temperature of 180 °C, a densification time of 1004 s, and a post-treatment time of 1445 s. Additionally, the density of the densified samples was relatively homogeneous across thickness, although it was dramatically increased compared with control samples. However, density did not increase linearly with temperature. A much higher weight loss occurred at 220 °C, resulting in a significant decrease in density and hardness, whereas little compression set recovery was observed for sugar maple densified at this temperature.

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Simultaneous Optimization of Multiple Responses Using a Weighted Desirability Function

Cited by 26 publications

References 6 publications

Optimization of starch isolation from taro using combination of enzymes and comparison of properties of starches isolated by enzymatic and conventional methods

Optimization of starch isolation from taro using combination of enzymes and comparison of properties of starches isolated by enzymatic and conventional methods

Olfactory-Related Quality of Life in Multiple Chemical Sensitivity: A Genetic-Acquired Factors Model

Optimization of the Thermo-Hygromechanical (THM) Process for Sugar Maple Wood Densification

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