Its value comes from interpreting measurements in relation to process performance and desired product quality. Changes in temperature, pH, dissolved oxygen, biomass, nutrients, or metabolites can indicate that conditions are shifting. Teams can then use the information to adjust process conditions, helping maintain consistency, identify deviations, and support more reliable production outcomes.
Online measurements are obtained during the process, while at-line measurements are performed near the production system, and offline measurements are conducted through separate analysis. These approaches provide different ways to assess process variables and interpret changes. Selecting among them helps teams track biological production conditions and obtain information needed for timely adjustments or later evaluation.
A single measurement may not fully describe the state of a biological production process. Temperature and pH show environmental conditions, dissolved oxygen reflects another important process condition, and biomass, nutrients, and metabolites provide information about growth and production. Considering these measurements together supports a more complete interpretation of performance and helps reveal deviations that could affect yield or quality.
Both systems require assessment of process conditions and biological performance, but monitoring must reflect the production system being used. Measurements of temperature, pH, dissolved oxygen, biomass, nutrients, and metabolites can inform adjustments in either microbial fermentation or mammalian cell culture. Applying the same monitoring principle to each system supports consistent operation while accounting for their distinct biological contexts.
A practical workflow begins by selecting relevant process variables, measuring them through online, at-line, or offline approaches, and interpreting the resulting data. Teams then compare the observed conditions with expected process performance, identify deviations, and adjust conditions when appropriate. Repeating this cycle supports process control, improves reproducibility, and provides information for evaluating production outcomes.
Monitoring becomes particularly important when a process moves from laboratory systems toward manufacturing, because teams must determine whether performance remains consistent across scales. Tracking conditions and biological responses can reveal deviations, support process control strategies, and inform efforts to maintain yield and product quality. This context is relevant to producing vaccines, therapeutics, and other bio-based products.