scholarly journals Control of N-Propanol Production in Simulated Liquid State Fermentation of Chinese Baijiu by Response Surface Methodology

Fermentation ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 85
Author(s):  
Yajie Yin ◽  
Xinglin Han ◽  
Yifan Lu ◽  
Jinshan Li ◽  
Zongjie Zhang ◽  
...  
Keyword(s):  
Response Surface ◽  
Liquid State ◽  
Flavor Compound ◽  
Factors Affecting ◽  
Response Surface Optimization ◽  
Content Ratio ◽  
Initial Ph ◽  
Surface Test ◽  
The Rich ◽  
Fermentation Parameters

N-propanol is a vital flavor compound of Chinese baijiu, and the proper n-propanol contents contribute to the rich flavor of Chinese baijiu. However, the excessive content of n-propanol in liquor will reduce the drinking comfort. Based on the Box–Behnken design principle, the response surface test was used to optimize the factors affecting the production of n-propanol in a simulated liquid state fermentation of Chinese baijiu, and the best combination of factors to reduce n-propanol content was determined. Results showed that the content ratio of additional glucose to threonine and temperature had a significant effect on the production of n-propanol (P = 0.0009 < 0.01 and P = 0.0389 < 0.05, respectively). The best combination of fermentation parameters obtained was: the ratio of additional glucose to threonine content was 6:4, the temperature was 32 °C, and the initial pH was 4.40. Under these conditions, the production of n-propanol was 53.84 ± 0.12 mg/L, which was close to the theoretical value. Thus, the fermentation parameter model obtained through response surface optimization is reliable and can provide technical guidance for regulating the production of n-propanol and realizing high-quality baijiu brewing.

scholarly journals Study on Key Factors of Adsorption of Phosphorus by Steel Slag Filter Based on Response Surface Method

2018 ◽  
Vol 53 ◽  
pp. 03050 ◽  
Author(s):  
Jiabin Wang ◽  
Xiaoyu Wang ◽  
Liping Qiu ◽  
Tianhang Li ◽  
Cong Yu
Keyword(s):  
Reaction Time ◽  
Response Surface ◽  
Response Surface Method ◽  
Phosphorus Removal ◽  
Steel Slag ◽  
Molar Ratio ◽  
Factors Affecting ◽  
Surface Method ◽  
Initial Ph ◽  
Calcium Phosphorus

Excessive phosphorus emission is one of the important reasons for the eutrophication of water. At the same time, phosphorus is a significant mineral resource. In this paper, the response surface method is used to study the key influencing factors of phosphorus removal by steel slag filter and its action. Four factors affecting the dosage, initial pH, reaction time and calcium-phosphorus molar ratio were selected. The phosphorus removal was used as the response value. The interaction between various factors was established by Box-Behnken response surface analysis. The optimal conditions were determined by equation regression analysis: dosage = 2 cm3; initial pH = 7; molar ratio of calcium to phosphorus was 2:1; reaction time = 2 h.

scholarly journals Response Surface Optimization of Bioethanol Production from Sugarcane Molasses by Pichia veronae Strain HSC-22

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Hamed I. Hamouda ◽  
Hussein N. Nassar ◽  
Hekmat R. Madian ◽  
Salem S. Abu Amr ◽  
Nour Sh. El-Gendy
Keyword(s):  
Response Surface ◽  
Operating Conditions ◽  
Optimum Operating ◽  
Sugarcane Molasses ◽  
Bioethanol Production ◽  
Good Tolerance ◽  
Response Surface Optimization ◽  
Batch Fermenter ◽  
Initial Ph ◽  
Surface Optimization

Pichia veronae strain HSC-22 (accession number KP012558) showed a good tolerance to relatively high temperature, ethanol and sugar concentrations. Response surface optimization based on central composite design of experiments predicted the optimal values of the influencing parameters that affect the production of bioethanol from sugarcane molasses to be as follows: initial pH 5, 25% (w : v) initial molasses concentration, 35°C, 116 rpm, and 60 h. Under these optimum operating conditions the maximum bioethanol production on a batch fermenter scale was recorded as 32.32 g/L with 44% bioethanol yield.

SUBMERGED CITRIC ACID FERMENTATION OF SUGAR BEET MOLASSES: INCREASE IN SCALE

1955 ◽  
Vol 1 (5) ◽  
pp. 299-311 ◽  
Author(s):  
R. Steel ◽  
C. P. Lentz ◽  
S. M. Martin
Keyword(s):  
Citric Acid ◽  
Scale Up ◽  
Aeration Rate ◽  
Small Scale ◽  
Acid Fermentation ◽  
Inoculum Level ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Beet Molasses ◽  
Initial Ph

Factors affecting the production of citric acid in the submerged fermentation of ferrocyanide-treated beet molasses by Aspergillus niger were studied in 2.5 and 36 liter fermenters. The small fermenters were used to determine the effects of changes in sterilization technique, phosphate supplement, ferrocyanide treatment, inoculum level, initial pH, fermentation temperature, and aeration rate. The relation between ferrocyanide concentration and inoculum level was also studied. Four different samples of molasses were fermented successfully. An average yield of 8.2% citric acid (64% conversion) was obtained from 51 small-scale fermentations. Comparable yields were obtained in the large fermenters under comparable conditions. Most of the information obtained with the small fermenters was applicable to the larger-scale fermenters, but in the latter the fermentation was significantly more stable. Aeration was the main problem in the scale-up and aeration rates approximately double those calculated on a fermenter cross-sectional area basis were required for comparable results in the large fermenters.

scholarly journals Combining Response Surface Optimization and Stochastic Analysis for Crashworthiness Design – an Introductory Study

2001 ◽  
Vol 8 (1) ◽  
pp. 21-31 ◽  
Author(s):  
Lars A. Fredriksson ◽  
Uwe Schramm
Keyword(s):  
Response Surface ◽  
Stochastic Analysis ◽  
Cost Effective ◽  
Initial Study ◽  
Dynamic Responses ◽  
Stochastic Methods ◽  
Explicit Finite Element ◽  
Transient Dynamic ◽  
Response Surface Optimization ◽  
Safety Margins

Objective of the design process are cost effective designs that meet certain expectations with respect to functionality and appearance. Designs are created in an iterative process where analyses of the structural behavior lead to changes in the design. The use of optimization technology makes design changes to be driven directly by analysis results. The application of optimization allows an efficient search for the right combination of design variables for a certain design. Additional use of stochastic methods in order to analyze the design from a statistical standpoint adds robustness to the design and prevents unpleasant surprises in later physical testing.This paper discusses methodology to optimize structures that undergo impact loading. Objective and constraints are transient dynamic responses. The optimization problem is solved using a sequential response surface method. An explicit finite element code is used to solve the transient dynamic problem. The optimization is not performed on results from single simulations but on statistical results from a stochastic analysis. The stochastic analysis is driven using a Monte Carlo method. Commercial software is used for the implementation of the methodology.The results from the study indicate that a combination of optimization and stochastic analysis can add safety margins to a design with respect to robustness against physical errors in the design itself and against changes in load levels and load cases. However, this initial study must be followed up by more in-depth investigations to fully understand the benefits of combined optimization-stochastic analysis.

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