Sample loss
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Seamlessly enhancing accuracy
With FIDA, sample loss measurement is seamlessly integrated into every assay, providing real-time insights into sample integrity without adding complexity. Depending on the case, the sample loss readout can, either offer data which helps to optimise the assay, or, alternatively, optimise the formulation.
This automatic feature helps prevent issues that could compromise experiment accuracy, saves valuable resources by minimizing waste, and ensures higher productivity. FIDA's sample loss measurement offers unparalleled control and confidence, reducing the need for re-runs and maximizing the value of every experiment.
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Why measure sample loss?
Experimental Research: Informing Experimental Adjustments (Early):
Detecting sample loss during FIDA experiments provides real-time feedback about the integrity and behaviour of the sample under specific conditions. Whether working with proteins, small molecules, or biologics, significant sample loss may suggest experimental conditions are too harsh or that the sample is degrading or interacting in unexpected ways. This insight allows researchers to adjust experimental parameters, improving the accuracy of results and maximizing data quality. Luckily, FIDA offers full buffer, detergent, ionic strength and pH flexibility, making troubleshooting easy.
Formulation Development: Optimizing Conditions for Stability:
In formulation development, sample loss measurement delivers information that enables formulation scientists to refine the buffer, excipient choice, or pH conditions, ensuring that the formulation supports the stability of the active compound and streamlining the optimization process.
Quality Control: Flagging Potential Product Issues:
In quality control, monitoring sample loss during routine QC runs can flag potential product issues before they escalate. If a product shows higher-than-expected sample loss, it may indicate degradation or improper handling during production or storage. This early detection enables quality control teams to investigate and address the issue promptly, maintaining product quality while minimizing delays and costly recalls.
Protein Production: Identifying Processing Weaknesses:
During protein production, sample loss measurement during FIDA experiments can reveal weaknesses in the production or purification processes. If a high level of sample loss occurs, it could signal issues such as protein denaturation or precipitation. By identifying these problems early in the process, production teams can adjust their protocols to maintain sample integrity, increasing yields and reducing rework or wasted material.
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