Optimization of Processing Parameters for Lettuce Vacuum Osmotic Dehydration Using Response Surface Methodology

Yuan, Yuejin; Tan, Libin; Xu, Yingying; Ji-xian, Dong; Zhao, Yu; Yuan, Yueding

doi:10.1515/pjfns-2017-0013

Cited by 14 publications

(14 citation statements)

References 15 publications

(14 reference statements)

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“…The first step was to design appropriate experiments to efficiently assess the model parameters. The second step was to develop a polynomial model that can be applied to the experimental data through regression, and to verify the model's suitability by applying a statistical test (e.g., lack-of-fit or F-test) [29][30][31]. The final step was to determine the values of factors that result in the best conditions.…”

Section: Experimental Design and Optimization Methodsmentioning

confidence: 99%

“…The coefficients of the model were predicted using regression. Details of the parameter estimations for such a model have been reported previously [29][30][31]. Central composite design (CCD), which was utilized in this study, was the most popular second-order experimental design, and was an efficient approach to providing sufficient information to test the fitness of a model.…”

Section: Experimental Design and Optimization Methodsmentioning

confidence: 99%

“…The CCD approach did not require numerous design points; therefore, it saved the expense and time associated with completing experiments. Many experiments in which CCD had been applied had included three sets: (1) factional factorial runs (2 k−1 ), which studied factors at −1 (minimum) and +1 (maximum) levels; (2) center-point runs, which examined factors at a center point of a design space and aided in the understanding of curvature and data replication to evaluate pure errors; and (3) axial or star-point runs (2k), which set all factors to 0 (i.e., the center point), except for one factor with values of +α and -α [29][30][31].…”

Section: Experimental Design and Optimization Methodsmentioning

confidence: 99%

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Efficient Removal of Hexavalent Chromium from Wastewater with Electro-Reduction

et al. 2019

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Removal of hexavalent chromium had attracted much attention as it is a hazardous contaminant. An electrocoagulation-like technology electro-reduction was applied. The chromium (VI) in the wastewater was reduced to chromium (III) by the electron supplied by electricity power and Fe2+, formed from corrosion of steel electrodes in acidic conditions. The mechanism and parameters affecting the reaction were investigated. The results optimized by response surface methodology indicated that the influence of single factor on the reduction efficiency followed the order: A: dosage of H2SO4 > C: reaction time > D: reaction temperature > B: current intensity. The reduction efficiency was hardly affected by current intensity, while it was increased with the increasing of reaction time and acid concentration. The reducing agent, Fe2+ an and extra free electron, acted as a reducing agent and could easily reduce hexavalent chromium to trivalent chromium at high temperatures in an acidic medium.

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Section: Experimental Design and Optimization Methodsmentioning

confidence: 99%

Section: Experimental Design and Optimization Methodsmentioning

confidence: 99%

Section: Experimental Design and Optimization Methodsmentioning

confidence: 99%

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Efficient Removal of Hexavalent Chromium from Wastewater with Electro-Reduction

et al. 2019

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“…Since this research involved 4 factors with each at five levels, which will results in a total of 1024 treatments according to a full factorial design and orthogonal array [41], a orthogonal rotation central combination design was applied, this regression technique is currently the most effective method for multi-factor interaction effect analysis, which will considerably reduce experiment times without losing efficiency [42] [43]. To reveal the relationship between the NPK+water combination and the fruit yield and achieve the optimal combination, a fourfactor quadratic regression orthogonal design table was chosen, and five levels (-γ, -1, 0, 1 and γ) were determined for each factor (Table 2) [41] according to the regression orthogonal rotation central combination design, γ is the maximum level for each factor.…”

Section: Experimental Statistical Methodsmentioning

confidence: 99%

Optimal fertigation for high yield and fruit quality of greenhouse strawberry

Yong

et al. 2020

PLoS ONE

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Nitrogen (N), phosphorus (P), potassium (K), and water are four crucial factors that have significant effects on strawberry yield and fruit quality. We used a 11 that involved 36 treatments with five levels of each of the four variables (N, P, and K fertilizers and water) to optimize fertilization and water combination for high yield and quality. Moreover, we used the SSC/TA ratio (the ratio of soluble solid content to titratable acid) as index of quality. Results showed that N fertilizer was the most important factor, followed by water and P fertilizer, and the N fertilizer had significant effect on yield and SSC/TA ratio. By contrast, the K fertilizer had significant effect only on yield. N×K fertilizer interacted significantly on yield, whereas the other interactions among the four factors had no significant effects on yield or SSC/TA ratio. The effects of the four factors on yield and SSC/TA ratio were ranked as N fertilizer > water > K fertilizer > P fertilizer and N fertilizer > P fertilizer > water > K fertilizer, respectively. The yield and SSC/TA ratio increased when NPK fertilizer and water increased, but then decreased when excessive NPK fertilizer and water were applied. The optimal fertilizer and water combination were 22.28-24.61 g plant -1 Ca (NO 3 ) 2 �4H 2 O, 1.75-2.03 g plant -1 NaH 2 PO 4 , 12.41-13.91 g plant -1 K 2 SO 4 , and 12.00-13.05 L water plant -1 for yields of more than 110 g plant -1 and optimal SSC/TA ratio of 8.5-14. OPEN ACCESSCitation: Wu Y, Li L, Li M, Zhang M, Sun H, Sigrimis N (2020) Optimal fertigation for high yield and fruit quality of greenhouse strawberry. PLoS ONE 15(4): e0224588. https://doi.org/10.

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“…To reveal the relationship between the NPK+water combination and the fruit yield and achieve the optimal combination, a quadratic regression orthogonal rotation combination experiment was designed involving four factors at five levels in 36 treatments; this technique is currently the most effective method for multi-factor interaction effect analysis [41]. The four factors were N, P, and K fertilizers and water, which were represented by x 1 , x 2 , x 3 , and x 4 , respectively.…”

Section: Methodsmentioning

confidence: 99%

Optimal fertigation for high yield and fruit quality of greenhouse strawberry

Yong

et al. 2019

Preprint

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2 21 Abstract 22 Nitrogen (N), phosphorus (P), potassium (K), and water are four crucial factors that have significant effects on strawberry yield 23 and fruit quality. A quadratic regression orthogonal rotation combination experiment that involved 36 treatments with five 24 levels of the four variables (N, P, and K fertilizers and water) was executed to optimize the fertilization and water combination 25 for high yield and quality. SSC/TA ratio (the ratio of soluble solid content to titratable acid) was selected as the index of 26 quality. Results showed that the N fertilizer was the most important factor, followed by water and P fertilizer, and the N 27 fertilizer had a significant effect on yield and SSC/TA ratio. By contrast, the K fertilizer had a significant effect only on yield. 28N×K fertilizer interaction had a significant effect on yield, whereas the other interactions among the four factors had no 29 significant effects on yield and SSC/TA ratio. The effects of the four factors on the yield and SSC/TA ratio were ranked as N 30 fertilizer > water > K fertilizer > P fertilizer and N fertilizer > P fertilizer > water > K fertilizer, respectively. The yield and 31 SSC/TA ratio increased and then decreased when NPK fertilizer and water increased. The optimal fertilizer and water 32 combination was 22.28-24.61 g/plant Ca (NO 3 ) 2 ·4H 2 O, 1.75-2.03 g/plant NaH 2 PO 4 , 12.41-13.91 g/plant K 2 SO 4 , and 12.00-33 13.05 L/plant water for yields of more than 110 g/plant and optimal SSC/TA ratio of 8.5-14. Introduction 35Mineral fertilizers and water have a significant effect on crop yield [1-3]. However, the excessive application of fertilizers may 36 lead to soil and water pollution and become a serious threat to food safety [4,5]. Meanwhile, water scarcity is now a major 37 challenge in China [6]. Therefore, a good management of fertilization and water is increasingly required for agriculture in China. 38Strawberry is one of the most profitable fruit cultivars in China, which ranks first in total strawberry production worldwide 39 with a production of 1,801,865 tons in 2016, followed by United States and Mexico among a total of 79 countries [7]. Thus, large 40 amounts of fertilizers and water are needed for strawberry production in China. Consumers prefer strawberries with a sweet taste 41 [8,9]. The strawberry flavor is strongly correlated with the balance between the soluble solid content (SSC) and titratable acid 42 (TA) in ripe fruits [10,11], which are common quality indexes to assess sweetness and sourness [12]. The ratio of SSC/TA is 43 another effective parameter to determine fruit flavor [13,14]. The higher the SSC/TA ratio, the sweeter the fruit [15]. Therefore, 44 increasing strawberry production and enhancing fruit quality with high SSC/TA ratio and without environment pollution are 45 important goals in the field. 46Nitrogen (N), phosphorus (P), and potassium (K) are primary mineral fertilizers. N is the most limiting nutrient to crop nutrient is essential for photosynthesis [20], and it is requ...

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Optimization of Processing Parameters for Lettuce Vacuum Osmotic Dehydration Using Response Surface Methodology

Cited by 14 publications

References 15 publications

Efficient Removal of Hexavalent Chromium from Wastewater with Electro-Reduction

Efficient Removal of Hexavalent Chromium from Wastewater with Electro-Reduction

Optimal fertigation for high yield and fruit quality of greenhouse strawberry

Optimal fertigation for high yield and fruit quality of greenhouse strawberry

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