Analytical development in the laboratory
Your needs: develop or optimize reliable, rapid, and transferable analytical methods for your production sites
As part of a product launch, process optimization, or regulatory change, the development of a tailored analytical method enables manufacturers in all industries to perform analysis specific to a given matrix, making it possible to assess its performance and characteristics.
What is analytical method development?
Analytical method development is a process involving the creation, testing, and validation of procedures for analyzing substances in samples, particularly in analytical chemistry.
This process determines the optimal experimental conditions for obtaining reliable and accurate results. Once a method has been developed, it must be validated through analytical validation to ensure its accuracy, reproducibility, and specificity in accordance with regulatory standards. This process helps maintain product quality and compliance across various industrial sectors.
What is analytical method optimization?
Analytical method optimization involves improving an existing method for analyzing substances in samples in order to increase the efficiency, accuracy, and speed of the results obtained, while reducing costs and potential errors.
This optimization, applied in analytical chemistry, may include adjusting experimental parameters such as time, temperature, pH, and the solvents used, as well as the instrumental technique employed, such as chromatography or spectrometry.
The analytical optimization process often uses statistical tools such as Design of Experiments (DoE) to systematically assess the effects of several variables simultaneously and determine the optimal conditions. This makes it possible to standardize the method so that it is robust and transferable between different laboratories or production sites, thereby ensuring reliable and reproducible analytical results.
Why work with a laboratory for analytical development and optimization?
Working with a specialized laboratory for analytical method development and optimization offers numerous guarantees. At FILAB, our laboratory provides expertise in analytical chemistry and access to a state-of-the-art analytical platform, enabling accurate analysis that comply with regulatory standards. This reduces risks, saves time, and allows industries to focus on their core business.
By outsourcing these research and development services to an analytical chemistry laboratory, companies also benefit from improved standardization and test repeatability.
Alongside studying the life cycle of your methods, we provide long-term support and adaptability to regulatory and technological changes, accelerating the time to market for your products.
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Our solutions: deliver a tailored analytical method development project by providing the human and technical resources suited to your needs
FILAB laboratory supports you in the development and validation of analytical methods, managing the various implementation stages. With high-level in-house expertise and a diverse analytical platform (GC-MS, LC-MSMS, ICP-MS…), FILAB assesses your needs and offers solutions tailored to your requirements and to the standards applicable to your specific challenges.
Our analytical development and optimization services
The stages of analytical development
Analysis of the client's needs
Drafting the study protocol specifying the choice of analytical parameters
A feasibility study to verify that the method is stable and reproducible across several batches
Drafting the analytical protocol, which may be followed by method validation.
Analytical development by industry sector
Through its three service levels—analysis, expertise, and R&D support—FILAB helps companies across all industries and of every size resolve their industrial challenges by providing clients with the expertise and experience of its team.
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Method development is specific to: a molecule, an analytical technique (and its parameters), a preparation or injection method, and a matrix.
Therefore, the parameters to consider are:
The development of an analytical method specific to your matrix may be required in various situations: to meet regulatory requirements, during product development, or to solve a problem. When the need is recurring, industrial companies often turn to analytical development.
As part of method validation, regular checks may be necessary to analyze potential deviations in the method.
This may be due, in particular, to equipment becoming obsolete.
Research and development
Our FAQ
Several parameters must be considered when developing and validating an analytical method: specificity, repeatability, reproducibility, linearity, and detection capability (LoD and LoQ).
When developing analytical methods, several parameters are essential to ensure the method’s effectiveness and compliance:
>Selectivity and specificity: The ability to specifically identify the analyte, even in the presence of other similar components.
>Sensitivity: The ability to detect low concentrations, measured by the limit of detection (LOD) and the limit of quantification (LOQ).
>Precision: The consistency of results across repeated tests under identical conditions.
>Trueness: The closeness of results to a reference value.
>Linearity: The proportional relationship between the analyte concentration and the measured signal.
>Robustness: The stability of the method in response to variations in experimental conditions.
>Dynamic range: The concentration range over which the method is effective.
>Analysis time, cost, and feasibility with the available resources.
These parameters ensure the development of analytical methods that are accurate, reliable, and suited to specific needs.
Analytical optimization for industries ensures that the analytical methods used are reliable, accurate, and tailored to their specific needs. It includes various tests and analysis, such as robustness, sensitivity, repeatability, and reproducibility, which verify a method's ability to produce consistent and accurate results, even in the presence of operational variations.
Linearity and specificity assessments, as well as the determination of detection and quantification limits, are also included to ensure that the method performs optimally under real-world conditions.
These analysis are essential for minimizing the risk of errors and maximizing process efficiency, making companies more competitive and compliant with regulatory standards.
