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ADC analytics FAQs: Answering the most common questions about ADC characterization

Antibody-drug conjugates (ADCs) have emerged as one of the fastest-growing classes of biotherapeutics, combining the targeting specificity of monoclonal antibodies with the potency of cytotoxic payloads. However, this unique architecture also introduces significant analytical complexity. From drug-to-antibody ratio (DAR) distributions and charge variants to conjugation sites and structural modifications, ADCs present multiple, interconnected sources of heterogeneity that must be understood to ensure product quality and performance.

Back to the new basics: Part 1 | Making the leap from GC-MS to LC-MS

Producing accurate results quickly in a demanding environment is no easy feat for analytical scientists. What’s more, many of us are constantly questioning ourselves—I certainly am—about whether we are employing the best technique for the analysis at hand.

It’s an overwhelming thought, considering the wide range of tools that are available to choose from, each of which offers varying levels of capacity, sensitivity, selectivity, specificity and cost. How do you meet the unique needs of your organization without breaking the bank? I get it, and I’m not here to convince you it’s easy. My aim is to guide you through the process to help you make the right decision for you.

ADC analytics FAQs: Answering the most common questions about ADC characterization

ADC analytics FAQs: Answering the most common questions about ADC characterization

Antibody-drug conjugates (ADCs) have emerged as one of the fastest-growing classes of biotherapeutics, combining the targeting specificity of monoclonal antibodies with the potency of cytotoxic payloads. However, this unique architecture also introduces significant analytical complexity. From drug-to-antibody ratio (DAR) distributions and charge variants to conjugation sites and structural modifications, ADCs present multiple, interconnected sources of heterogeneity that must be understood to ensure product quality and performance.

Back to the new basics: Part 1 | Making the leap from GC-MS to LC-MS

Back to the new basics: Part 1 | Making the leap from GC-MS to LC-MS

Producing accurate results quickly in a demanding environment is no easy feat for analytical scientists. What’s more, many of us are constantly questioning ourselves—I certainly am—about whether we are employing the best technique for the analysis at hand.

It’s an overwhelming thought, considering the wide range of tools that are available to choose from, each of which offers varying levels of capacity, sensitivity, selectivity, specificity and cost. How do you meet the unique needs of your organization without breaking the bank? I get it, and I’m not here to convince you it’s easy. My aim is to guide you through the process to help you make the right decision for you.

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