On line product quality estimator based on True Dew Point curve for control of Crude Distillation Units

AIChE Journal ◽  
2021 ◽  
Author(s):  
Alessandro Brambilla
Keyword(s):  
Product Quality ◽  
Dew Point ◽  
Point Curve ◽  
On Line

scholarly journals Analisis Pengaruh Kualitas Produk, Citra Perusahaan dan Kepercayaan Konsumen Terhadap Kepuasan Konsumen Produk Online

POINT ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 57-70
Author(s):  
Marina Malian
Keyword(s):  
Customer Satisfaction ◽  
Product Quality ◽  
Consumer Satisfaction ◽  
Quantitative Research ◽  
Brand Image ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Consumer Trust ◽  
Independent Variables ◽  
On Line

This study aims to analyze partially and simultaneously the influence of product quality, brand image and consumer trust on customer satisfaction. Including quantitative research using the results of questionnaire surveys filled by respondents. The sample used is 100 consumers of on line products in Palembang. The method of data analysis uses multiple linear regression analysis. To test the hypothesis the partial effect of independent variables on the dependent variable used the t test. The F test is used to test the effect of the independent variables on the dependent variable together. The results of processing data show there is an influence of product quality on customer satisfaction. Consumer trust affects consumer satisfaction and brand image does not affect consumer satisfaction. Taken together there is the effect of independent variables on the dependent variable. Consumer trust has the most dominant influence on customer satisfaction on line products in Palembang.

scholarly journals On-line monitoring of downstream purification processes for VSV based SARS-CoV-2 vaccine by a novel technique

2021 ◽  
Author(s):  
Arik Makovitzki ◽  
Avital Jayson ◽  
Ziv Oren ◽  
Elad Lerer ◽  
Yaron Kafri ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Product Quality ◽  
Rapid Development ◽  
Pharmaceutical Products ◽  
Cell Protein ◽  
Purification Process ◽  
Israel Institute ◽  
Process Yield ◽  
Critical Information ◽  
On Line

The COVID-19 pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) increases the need for rapid development of efficient vaccines. Among other vaccines in clinical trials, a recombinant VSV-∆G-spike vaccine was developed by the Israel Institute for Biological, Chemical and Environmental sciences (IIBR) and is being evaluated. Development of an efficient downstream purification process (DSP) enables advancing the vaccine to clinical trials. The DSP must eliminate impurities, either process- or product -related, to yield sufficient product with high purity, potency, and quality. To acquire critical information on process restrictions and qualities, incorporation of on-line monitoring is vital. Application of on-line monitoring should significantly impact process yield, product quality and economy of the entire process. Here, we describe an on-line monitoring technique that was applied in the DSP of the VSV-∆G-spike vaccine. The technique is based on determining concentrations of metabolites, nutrients and a host cell protein (HCP) by the automatic chemistry analyzer Cobas Integra 400 Plus. The analysis revealed critical information on process parameters and significantly impacted purification processes. The technique is rapid, easy and efficient. Adaptation of this technique during the purification process improves process yield, product quality and enhances the economy of the entire downstream process of biotechnology and bio pharmaceutical products.

Prediction of Double Retrograde Vaporization by Hybrid Global-Local Optimization Using Fuzzy Clustering Means

2008 ◽  
Vol 3 (1) ◽  
Author(s):  
Nelio Henderson ◽  
Wagner Figueiredo Sacco
Keyword(s):  
Critical Temperature ◽  
Fuzzy Clustering ◽  
Binary Systems ◽  
Volatile Component ◽  
Local Optimization ◽  
Dew Point ◽  
Mixing Rule ◽  
Hard Problem ◽  
Point Curve ◽  
Robinson Equation

Retrograde vaporization calculation is a hard problem, which possesses several solutions and demands a robust algorithm. In the present work, we solved the double retrograde vaporization problem by hybrid global-local optimization. In fact, we propose a new methodology that involves fuzzy clustering means together with Luus-Jaakola and Nelder-Mead algorithms. We applied the proposed methodology to solve the double retrograde vaporization problem for binary systems of methane + n-butane. For this mixture, the dew point curve exhibits an S-shape at temperatures slightly below the critical temperature of the more volatile component. This binary mixture was modeled using the original Peng-Robinson equation of state and the classical one-fluid van der Waals mixing rule.

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