As biologics manufacturing operations become increasingly complex, biopharma companies are under growing pressure to improve efficiency, strengthen contamination control and meet evolving regulatory expectations without compromising product quality or patient safety. In this exclusive with Biopharma Boardroom, Georgios Koukoulas, Global Technical Consulting Manager at Ecolab, shares his perspective on the most pressing cleaning and disinfection challenges facing modern bioprocessing facilities and explains how manufacturers can unlock hidden operational capacity through more data-driven, scientifically justified approaches to cleaning validation, contamination control and manufacturing strategy.

What are the most pressing contamination control challenges currently facing bioprocessing facilities?

Bioprocessing facilities are dealing with a complexity squeeze. More multiproduct operations, advanced modalities, legacy facility designs and single-use workflows create more interfaces, each one creating different challenges for contamination control. A major challenge is variability. Manual cleaning and disinfection can be inconsistent from operator to operator, shift to shift, and room to room, which makes it harder to demonstrate a sustained state of control. Another persistent issue is residue risk, not only from product and process soils, but also from cleaning agents and disinfectants that can build up, interfere with monitoring, or create material compatibility problems over time impacting manufacturing quality and safety.

Single-use systems reduce some traditional cleaning burdens, but they do not eliminate contamination risk. Instead, risk shifts toward connection interfaces, transfer disinfection, material compatibility, and boundary management between controlled and uncontrolled areas. At the same time, regulatory expectations increasingly require manufacturers to show that cleaning and disinfection regimes are scientifically justified and fully integrated into a broader contamination control strategy, rather than treated as background hygiene.

How can companies improve manufacturing efficiency without compromising product quality or compliance?

Many efficiency gains start with rethinking cleaning as a manufacturing process step rather than a purely compliance-driven activity. Significant capacity is often lost in the time between batches, particularly where cleaning cycles are conservative, complex, and rarely reviewed after validation. A practical first step is adopting a risk-based, data-led approach that focuses on understanding process residues, surface materials, cleanroom flora and potential contamination risks involved, then designing cleaning strategies that are effective without being excessive.

Digitizing batch documentation and cleaning records also plays an important role. When documentation is streamlined and standardized, teams spend less time reviewing paperwork and more time managing the process itself. The goal is not to reduce controls, but to ensure cleaning processes are fit for purpose, supported by evidence, and aligned with real operational risk. When done properly, optimized cleaning can reduce changeover time, improve throughput, and unlock hidden capacity without compromise to quality and safety.

In what ways is digitalization or data analytics transforming cleaning and contamination control processes?

Digitalization is helping manufacturers move from periodic verification toward continuous process control. Instead of relying solely on manual records and retrospective review, facilities are increasingly expected to capture data that supports traceability, data integrity, and repeatability over time. This becomes particularly important as regulatory focus grows around electronic systems, audit trails, and management of the full data lifecycle.

Analytics also help teams identify recurring deviations, high-risk areas, and sources of variability that are difficult to detect through manual review alone. This insight enables better standardization of procedures and more targeted improvements. Digital tools are also strengthening documentation by linking cleaning execution, environmental data, and compliance evidence in more connected systems.

Overall, digitalization is making cleaning easier to manage, easier to track, easier to justify, and easier to improve continuously, while supporting a stronger demonstration of control during inspections.

What strategies are proving most effective in strengthening supply chain resilience in biomanufacturing?

Supply chain resilience is increasingly being treated as a core operational strategy rather than a contingency plan. The most effective approaches combine diversification, supplier qualification, and long-term partnerships. On the supply side, manufacturers are strengthening continuity by diversifying critical inputs, qualifying alternatives earlier, and placing greater emphasis on supplier transparency, documentation and qualification.

Operational resilience also plays a critical role. Contamination events and prolonged recovery times remain a major cause of supply disruption. Facilities that treat cleaning and disinfection as critical control measures, supported by robust data and scientific justification, are better positioned to maintain continuity under pressure.

More broadly, resilience is being linked to regulatory readiness, standardized execution, and global manufacturing networks. The common theme is confidence. Organizations want confidence that their processes can withstand change, scrutiny, and uncertainty without disrupting supply.

How do you see sustainability goals influencing cleaning validation and operational practices?

Sustainability goals are encouraging manufacturers to challenge long-standing assumptions that more cleaning always equals more safety. In practice, this is driving interest in optimized cleaning cycles, fewer rinse steps, and low-residue chemistries that maintain control while reducing water, energy, and chemical use.

Importantly, sustainability and compliance are not opposing goals. When cleaning strategies are scientifically designed and well characterized, they can reduce variability and residue risk while also lowering resource consumption. Cleaning validation increasingly focuses on proving what is necessary and effective, rather than defaulting to maximum cycles out of caution.

As sustainability metrics become more visible, manufacturers are also factoring environmental impact into equipment, chemistry, and process decisions. The result is a shift toward cleaning validation that remains rigorous, but is more targeted, data-informed, and resource-efficient.

What practical steps can facilities take today to future-proof their operations against evolving regulatory expectations?

A strong starting point is treating cleaning and disinfection as integral elements of a risk-based contamination control strategy. Facilities can take several practical steps today. Involve microbiology, engineering, and quality experts early so cleaning is designed into processes rather than retrofitted later. Reduce variability through standardized tools, procedures, and training to ensure repeatable execution. Build a clear and defensible residue management strategy that explains chemistry selection, contact times, and rotation rationale.

Facilities should also assess whether validated cleaning processes still reflect current products, equipment, and throughput requirements, rather than relying on legacy assumptions. Finally, documentation should be audit-ready, traceable, and aligned with modern expectations for data integrity. Together, these steps help organizations respond with confidence as regulatory expectations continue to evolve.