- Testing Types
- Method Development
Terms and Conditions
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Overview
An analytical method is a scientifically developed procedure used to evaluate critical quality attributes such as identity, potency, purity, assay, impurities, and degradation products. At PLS Analytical, robust analytical methods form the foundation for generating reliable data that supports product development, quality control, and regulatory decision-making.
PLS Analytical develops analytical methods tailored to specific products, formulations, and testing objectives. Method development involves selecting appropriate analytical techniques, optimizing test conditions, and establishing procedures that consistently deliver accurate, reproducible results. These methods support formulation development, stability studies, impurity profiling, release testing, and subsequent method validation activities.
Reliable analytical methods are essential for generating accurate data throughout the pharmaceutical product lifecycle. Well-developed methods help manufacturers monitor critical quality attributes, identify impurities, support stability programs, and reduce the risk of inconsistent results, investigation findings, or regulatory delays.
PLS Analytical develops scientifically robust, regulatory-aligned analytical methods that support validation, technology transfer, quality systems, and submissions in accordance with ICH Q14, ICH Q2(R2), and global regulatory expectations.
Testing Services
PLS Analytical develops and optimizes analytical methods to support pharmaceutical development, quality control programs, stability studies, and regulatory submissions across a wide range of product types and dosage forms.
1. Method Feasibility & Development
1. Method Feasibility & Development
Method feasibility and development establish analytical procedures capable of accurately measuring target compounds and critical quality attributes. Scientifically robust data supports new product development, early-phase formulation studies, non-compendial methods, and product-specific analytical strategies.
2. Method Optimization & Troubleshooting
2. Method Optimization & Troubleshooting
Method optimization and troubleshooting evaluate existing analytical procedures to improve performance, reliability, and robustness. Scientifically robust data supports process changes, reformulations, OOS investigations, method refinement, and operational efficiency.
3. Stability Indicating Method Development
3. Stability Indicating Method Development
Stability indicating method development establishes analytical procedures for monitoring product stability, degradation pathways, and impurity profiles throughout the product lifecycle. Scientifically robust data supports stability programs, impurity profiling, shelf-life studies, and regulatory submissions.
Advantages
Analytical method development provides the scientific foundation required for accurate testing, effective quality control, and successful regulatory submissions.
Fit-for-Purpose Method Design
Methods are developed around the specific characteristics of the product testing, ensuring that analytical procedures remain suitable for their intended application.
Reliable and Reproducible Results
Systematic development and optimization help establish methods capable of delivering consistent, accurate, and reproducible data across routine laboratory operations and quality programs.
Reduced Development and Validation Risk
Early identification of analytical challenges helps minimize delays during validation, technology transfer, stability studies, and commercial implementation, improving overall development efficiency.
