scholarly journals Reactor Selection for Effective Continuous Biocatalytic Production of Pharmaceuticals

Catalysts ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 262 ◽  
Author(s):  
Rowan Lindeque ◽  
John Woodley
Keyword(s):  
Flow Reactor ◽  
Flow Behavior ◽  
Enzymatic Reaction ◽  
Plug Flow ◽  
Stirred Tank ◽  
Seamless Integration ◽  
Continuous Stirred Tank ◽  
Selection For ◽  
Reactor Types ◽  
Biocatalytic Production

Enzyme catalyzed reactions are rapidly becoming an invaluable tool for the synthesis of many active pharmaceutical ingredients. These reactions are commonly performed in batch, but continuous biocatalysis is gaining interest in industry because it would allow seamless integration of chemical and enzymatic reaction steps. However, because this is an emerging field, little attention has been paid towards the suitability of different reactor types for continuous biocatalytic reactions. Two types of continuous flow reactor are possible: continuous stirred tank and continuous plug-flow. These reactor types differ in a number of ways, but in this contribution, we focus on residence time distribution and how enzyme kinetics are affected by the unique mass balance of each reactor. For the first time, we present a tool to facilitate reactor selection for continuous biocatalytic production of pharmaceuticals. From this analysis, it was found that plug-flow reactors should generally be the system of choice. However, there are particular cases where they may need to be coupled with a continuous stirred tank reactor or replaced entirely by a series of continuous stirred tank reactors, which can approximate plug-flow behavior. This systematic approach should accelerate the implementation of biocatalysis for continuous pharmaceutical production.

scholarly journals ANÁLISE FLUDODIMÂMICA DE UMA COLUNA DE FLOTAÇÃO POR MEIO DE DISTRIBUIÇÃO DE TEMPOS DE RESIDÊNCIA

2016 ◽  
Vol 4 ◽  
pp. 3
Author(s):  
Hudson Jean Bianquini Couto ◽  
Raphael Andrade Eloy Oliveira ◽  
Paulo Fernando Almeida Braga
Keyword(s):  
Flow Reactor ◽  
Plug Flow ◽  
Plug Flow Reactor ◽  
Stirred Tank ◽  
Continuous Stirred Tank Reactor ◽  
Stirred Tank Reactor ◽  
Tank Reactor ◽  
Continuous Stirred Tank

Foi realizado um trabalho para avaliação da fluidodinâmica de uma coluna piloto de flotação, por meio da aplicação da técnica de distribuição de tempos de residência - DTR, em função das variáveis mais importantes do processo de flotação como velocidade superficial de alimentação, ar e água de lavagem, e da concentração de espumante. Foi ainda realizado um estudo comparativo entre as diferentes metodologias utilizadas para determinação dos parâmetros hidrodinâmicos de DTR, como ajuste dos modelos CSTR (Continuous Stirred-Tank Reactor) em série e PFR (Plug-Flow Reactor) de dispersão axial, aos dados experimentais.

Time-Lag Models for Continuous Stirred Tank and Plug Flow Digesters for Biogas Production

2016 ◽  
Vol 30 (12) ◽  
pp. 10404-10416 ◽  
Author(s):  
Aritra Das ◽  
Chanchal Mondal ◽  
Siddharth G. Chatterjee
Keyword(s):  
Biogas Production ◽  
Time Lag ◽  
Plug Flow ◽  
Stirred Tank ◽  
Continuous Stirred Tank

scholarly journals Explicit Residence Time Distribution of a Generalised Cascade of Continuous Stirred Tank Reactors for a Description of Short Recirculation Time (Bypassing)

Processes ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 615 ◽  
Author(s):  
Peter Toson ◽  
Pankaj Doshi ◽  
Dalibor Jajcevic
Keyword(s):  
Residence Time ◽  
Time Distribution ◽  
Residence Time Distribution ◽  
Flow Reactor ◽  
Plug Flow ◽  
Stirred Tank ◽  
Stirred Tank Reactors ◽  
Delayed Impulse ◽  
In Series ◽  
Back Mixing

The tanks-in-series model (TIS) is a popular model to describe the residence time distribution (RTD) of non-ideal continuously stirred tank reactors (CSTRs) with limited back-mixing. In this work, the TIS model was generalised to a cascade of n CSTRs with non-integer non-negative n. The resulting model describes non-ideal back-mixing with n > 1. However, the most interesting feature of the n-CSTR model is the ability to describe short recirculation times (bypassing) with n < 1 without the need of complex reactor networks. The n-CSTR model is the only model that connects the three fundamental RTDs occurring in reactor modelling by variation of a single shape parameter n: The unit impulse at n→0, the exponential RTD of an ideal CSTR at n = 1, and the delayed impulse of an ideal plug flow reactor at n→∞. The n-CSTR model can be used as a stand-alone model or as part of a reactor network. The bypassing material fraction for the regime n < 1 was analysed. Finally, a Fourier analysis of the n-CSTR was performed to predict the ability of a unit operation to filter out upstream fluctuations and to model the response to upstream set point changes.

Comparison of Raschig Ring Packing Pattern via Mean Resident Time using CFD Particle Tracing Technique: Dry Methane Reforming for Case Study

2018 ◽  
Author(s):  
Nattaporn Chutichairattanaphum ◽  
Phavanee Narataruksa ◽  
Karn Pana-Suppamassadu ◽  
Sabaithip Tungkamani ◽  
Chaiwat Prapainainar ◽  
...  
Keyword(s):  
Flow Reactor ◽  
Flow Behavior ◽  
Plug Flow ◽  
Tubular Reactor ◽  
Packed Bed ◽  
Methane Reforming ◽  
Particle Tracing ◽  
Raschig Ring ◽  
Resident Time

This paper aims to study the effect of raschig ring packing patterns using Computational Fluid Dynamics (CFD). CFD module of particle tracing was established to measure particles diffusing through the packed bed. The support raschigs catalyst was modeled in three patterns within a tubular reactor &ndash; namely, vertical staggered, chessboard staggered and reciprocal staggered pattern. A case study of Dry Methane Reforming (DMR) was investigated at 600&deg;C, 1 atm. The study of Mean Resident Time (MRT) and E(t) function were investigated to identify the packing pattern performance. The results showed that the minimum value of the E(t), which means the flow behavior, was close to ideal plug flow behavior. MRT can be used to systematically identify the deviation from the ideal plug flow reactor of the three different packing patterns.

Isothermal PFR/PMR Networks

2006 ◽  
Vol 4 (1) ◽  
Author(s):  
Ravindra S Waghmare ◽  
Arun S Moharir
Keyword(s):  
Flow Reactor ◽  
Plug Flow ◽  
Superior Performance ◽  
Network Synthesis ◽  
Continuous Stirred Tank Reactor ◽  
Kinetic Schemes ◽  
Multiple Reactions ◽  
Continuous Stirred Tank ◽  
Mixed Reactor ◽  
Reactor Network

Combinations of Plug Flow Reactor (PFR) and continuous Perfectly Mixed Reactor (PMR, also known as Continuous Stirred Tank Reactor - CSTR) are widely known to give superior performance over a single reactor especially when multiple reactions take place in the reactor. The occurrence of a PMR in an optimal reactor network requires presence of inflection condition in the space of variables describing the reactor objective. The mathematical equation for inflection of multi-dimensional trajectories is derived and applied to five cases of well-known models of kinetic schemes. The previously known results are confirmed or improved upon by applying the technique. A general algorithm for PFR/PMR network synthesis for arbitrary kinetic models is presented.

scholarly journals Digital Twins for Continuous mRNA Production

Processes ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1967
Author(s):  
Heribert Helgers ◽  
Alina Hengelbrock ◽  
Axel Schmidt ◽  
Jochen Strube
Keyword(s):  
Flow Reactor ◽  
Continuous Production ◽  
Effective Means ◽  
Plug Flow ◽  
Tubular Reactor ◽  
In Vitro Transcription ◽  
Stirred Tank ◽  
Parameter Determination ◽  
Messenger Ribonucleic Acid

The global coronavirus pandemic continues to restrict public life worldwide. An effective means of limiting the pandemic is vaccination. Messenger ribonucleic acid (mRNA) vaccines currently available on the market have proven to be a well-tolerated and effective class of vaccine against coronavirus type 2 (CoV2). Accordingly, demand is presently outstripping mRNA vaccine production. One way to increase productivity is to switch from the currently performed batch to continuous in vitro transcription, which has proven to be a crucial material-consuming step. In this article, a physico-chemical model of in vitro mRNA transcription in a tubular reactor is presented and compared to classical batch and continuous in vitro transcription in a stirred tank. The three models are validated based on a distinct and quantitative validation workflow. Statistically significant parameters are identified as part of the parameter determination concept. Monte Carlo simulations showed that the model is precise, with a deviation of less than 1%. The advantages of continuous production are pointed out compared to batchwise in vitro transcription by optimization of the space–time yield. Improvements of a factor of 56 (0.011 µM/min) in the case of the continuously stirred tank reactor (CSTR) and 68 (0.013 µM/min) in the case of the plug flow reactor (PFR) were found.

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