26.09.2022 • Topics

Expert Statement: Baburaj Krishnan, Aurigene Pharmaceutical Services

Executives and industry experts share their views on drivers as well as barriers for the use of flow chemistry in pharmaceutical manufacturing and the prospect for this technology in their industry sector.

Baburaj Krishnan, Head-CDMO, Drug Substance Development, Aurigene...
Baburaj Krishnan, Head-CDMO, Drug Substance Development, Aurigene Pharmaceutical Services

Continuous Manufacturing (CM) — also called Flow Chemistry or Micro Reaction Technology (MRT) — is a technique that has been gaining global importance over the past decade as a result of improved process control and reduced operating costs, leading to increased manufacturing profits and a competitive edge. Recent years have shown that the reason for a company to change from “batch” to “flow” have been varied, often depending on the sector, process type of interest and scale of operation. Supply chain security and improvements in process sustainability are strong emerging drivers for the adoption of CM.

With the product key, the infrastructure needed varies greatly and depends on the available chemistry, cost of goods, volumes required and the hazard profile of a transformation. The modularity and flexibility of continuous flow set-ups enables the development of small, agile production plants that can be used for the manufacture of multiple products — with easy re-configuration allowing for rapid product changeover.

Following on from this, the ease of replicating these small footprint systems represents an opportunity for manufacturers to develop a process and subsequently deliver production units across multiple countries to serve the local product demands. This is in stark contrast to the current approach of a single large-scale plant, with warehousing used to manage supply chain disruptions.
With all of these benefits, a logical question follows: Why the slow adoption of MRT?

CHEManager asked executives and industry experts to share their views on drivers as well as barriers for the use of flow chemistry and the prospect for this technology in their industry sector. We proposed to discuss the following aspects:

  • In your opinion, what are the strongest drivers (success factors) of the implementation of flow chemistry processes?
  • Which barriers are slowing down or impede the implementation of flow chemistry processes?
  • What does it need for flow chemistry to be implemented more widely?

 

Flow chemistry processes significantly increase productivity and process safety, but a strong driver is the aim to design more sustainable processes, which goes hand in hand with these aspects. Sustainability is also the key focus for large-scale API manufacturing. It can be achieved by combining the green chemistry principle and continuous processes. While green chemistry brings a better atom economy, continuous processes improve reaction selectivity and yield. Flow chemistry can significantly minimize the use of solvents, which usually contribute 50% of the input mass in any batch manufacturing process. Integrating unit reactions and operations reduces the overall processing time and results in energy saving and high-throughput efficiency.

 

“A strong driver of flow chemistry
is the aim to design more sustainable processes.”

 


The technical capabilities in performing heterogeneous reactions and continuous crystallizations are an area to evolve. Batch processes provide flexibility for a wide range of reactions. Many homogenous and heterogeneous reactions can be performed in a single batch reactor without altering the equipment configuration. However, the flow process has particular limitations in accommodating different reactions in a single reactor.
Aurigene Pharmaceutical Services has a well-evolved methodology for establishing continuous processes. A recent example is a process that has been successfully developed and performed with continuous flow, which, otherwise, cannot be linearly scaled due to stability issues, its hazardous nature, and byproduct formation.

Innovation Pitch

The Start-up Platform for Chemistry & Life Sciences
Discover Tomorrow’s Innovators

The Start-up Platform for Chemistry & Life Sciences

CHEManager Innovation Pitch supports innovation in the chemistry and life sciences start-up scene. The platform allows founders, young entrepreneurs, and start-ups to present their companies to the industry.

CHEManager Spotlight

Standardization and Harmonization of Digital Chemical and Pharmaceutical Logistics
Creating Interfaces

Standardization and Harmonization of Digital Chemical and Pharmaceutical Logistics

CHEManager Spotlight is an exclusive event tailored for practitioners and decision-makers in the chemical industry. This part of our event series delves into the latest trends and innovations in logistics to streamline your operations and drive efficiency.

most read

Photo
19.03.2025 • TopicsStrategy

Substances of Concern

The EU Chemicals Strategy for Sustainability (CSS) highlights the shift to a hazard-centric approach in EU chemical regulation, emphasizing 'Substance of Concern' over risk-based measures.

Photo
19.03.2025 • TopicsChemistry

Making Waves

Global water scarcity is now urgent due to climate change, population growth, and unsustainable practices. 700 million people could be displaced by 2030, warns UNICEF, especially in water-intensive industries like personal care, textiles, food production, and paint.

Photo
19.03.2025 • TopicsStrategy

The Future of Demand for Chemicals

The chemical industry is shifting to sustainability-related products, with demand growing 4.5 times faster than conventional ones. Companies must revise their market strategies to capitalize on this opportunity.

Photo
11.11.2024 • TopicsDigitalization

Artificial Intelligence – a Revolution for Innovation?

Artificial intelligence (AI) has made groundbreaking progress in recent years, particularly through innovations in machine learning and neural networks. These developments are largely driven by deep learning technologies, which enable the recognition of complex data patterns and the achievement of human-like performance in areas such as speech recognition, image processing, and decision-making.