Multiple Response Optimization of Spray-Drying Process for the Preparation of Salvianolic Acids Microparticles and Evaluation for Potential Application in Dry Powder Inhalation

2011 ◽  
Vol 29 (5) ◽  
pp. 573-583 ◽  
Author(s):  
Xinsheng Fang ◽  
Jianhua Wang ◽  
Hongying Zhou ◽  
Xingkai Jiang ◽  
Guohui Zhang ◽  
...  
Author(s):  
Luis F. Cuevas-Glory ◽  
Jorge A. Pino ◽  
Odri Sosa-Moguel ◽  
Enrique Sauri-Duch ◽  
Madai Bringas-Lantigua

Abstract Response surface methodology was used to optimize the spray-drying process for the development of stingless bee honey powder. The independent variables were: inlet air temperature (110–150 oC) and maltodextrin 10DE content (50–70 % wb). The responses were powder yield, moisture, volatiles retention, solubility time, hygroscopicity, bulk loose, and hydroxymethylfurfural content. Powder moisture content, solubility time, hygroscopicity and loose bulk density were negatively affected by inlet air temperature, while powder yield, volatiles retention and hydroxymethylfurfural content were directly related. Powder yield, volatiles retention and solubility time increased with the rise in maltodextrin content, while moisture content, hygroscopicity, loose bulk density and hydroxymethylfurfural content were negatively affected by maltodextrin content. Multiple response optimization indicated that an inlet air temperature of 150 oC and maltodextrin content of 61 % wb were predicted to provide 40 % powder yield, 4.9 % wb moisture content, 71 % volatiles retention, 242 s solubility time and 232 mg/kg hydroxymethylfurfural content.


2019 ◽  
Vol 24 (5) ◽  
pp. 584-592 ◽  
Author(s):  
Mahdieh Farhangi ◽  
Arash Mahboubi ◽  
Farzad Kobarfard ◽  
Alireza Vatanara ◽  
Seyed Alireza Mortazavi

2013 ◽  
Vol 465-466 ◽  
pp. 751-755
Author(s):  
Seyed Jafar Golestaneh ◽  
Ismail Napsiah ◽  
Mohd Khairol Anuar Bin Mohd Ariffin ◽  
Say Hong Tang ◽  
Hassan Moslemi Naeini ◽  
...  

There are three phases to solve multiple response optimization (MRO) problems. They are experiment design, modelling and optimization. Different committee machines (CMs) are applied for modeling of MRO problem. Two kinds of CM introduced by current authors in recent works. Initial approach includs utilization of all experts in CM and finally sequentilal combinational model (SCM) is created. Current study proposes a combinational approach to filter and select the best experts to create CM which yields optimum combinational model (OCM). Also , there was another modeling with name point approach model (PAM). This study investigated two different features of different SCMs, PAM and OCM in a famous MRO problem with name wire-bonding. This problem was defined in 1997 and then, several researchers solved it in next years. The results show PAM has minimum RMSE but its global desirability is low. Also overall RMSE has a slightly fall from SCMs to OCM , whereas, there is gently rise in global desirability from SCMs to OCM and consequently proposed approach or OCM provides superior results.


2018 ◽  
Vol 8 (3) ◽  
pp. 693-701 ◽  
Author(s):  
Ailin Hou ◽  
Lu Li ◽  
Ying Huang ◽  
Vikramjeet Singh ◽  
Chune Zhu ◽  
...  

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