How NFD improves impurity detection and peak integration in CE SDS workflows

Apr 28, 2026 | Biopharma, BioPhase 8800 system, Blogs | 0 comments

CE‑SDS remains a cornerstone assay for characterizing fragmentation, aggregation, and product‑related impurities in therapeutic proteins. UV detection has been the long‑standing standard. However, it frequently struggles with baseline noise, limited sensitivity for minor fragments, and subjective integration.

Native fluorescence detection (NFD) strengthens CE‑SDS performance by improving both detection sensitivity and interpretability.

 

High sensitivity without labeling

NFD leverages intrinsic tryptophan fluorescence to detect proteins label‑free, avoiding the variability and workflow burden of dye‑labeling steps.

Technical note data show:

  • Heavy‑chain S/N improved from 78 (UV) to 185 (NFD)
  • Impurity detection down to 0.01% via enhanced sensitivity and flatter baselines
  • Dose‑dependent detection of low‑spiked lysozyme impurities with strong linearity (R² = 0.9999)

For scientists managing stability programs or performing forced degradation studies, this sensitivity can reveal early‑stage degradation signatures that UV cannot reliably resolve.

 

Clearer, more stable baselines for better integration

Typical UV electropherograms show baseline drifting due to buffer absorbance and gel heterogeneity.

The NFD baseline, however, is consistently flat, improving:

  • Peak boundary definition
  • Automated integration accuracy
  • Review and approval cycles

These benefits reduce manual reprocessing and strengthen data defensibility across development stages.

 

Multi-capillary throughput for faster studies

The BioPhase 8800 system processes 8 samples in parallel, expanding CE‑SDS throughput without requiring additional instruments or longer sequences.

High‑throughput CE‑SDS paired with NFD’s sensitivity provides a strong foundation for data‑driven therapeutic development.

 

A balanced upgrade path from UV and LIF

NFD complements existing detection modes:

  • UV remains essential for bridging legacy data
  • LIF remains the most sensitive tool for dye‑labeled assays
  • NFD occupies the ideal middle ground with label‑free sensitivity and stable baselines

This offers scientists flexibility while building long‑term method robustness.

 

Explore the CE‑SDS NFD data

For deeper review, check out the resources in our NFD solutions hub >

 

Why SCIEX partners with experts around the world

Innovation in mass spectrometry does not happen in isolation. Some of the most impactful scientific advances emerge from highly specialized research communities – proteomics experts developing new peptide identification workflows, metabolomics researchers curating spectral databases, toxicologists building compound libraries, and biopharma scientists creating novel characterization methods.

Managing ADC characterization: The challenge of turning complexity into confidence

Unlike traditional monoclonal antibodies, ADCs combine an antibody backbone with linker chemistry and a cytotoxic payload. This multi-component architecture introduces overlapping layers of heterogeneity, including drug-to-antibody ratio (DAR) distributions, charge variants, post-translational modifications, and structural changes at both the intact and subunit levels. Across ADC development, these characteristics are considered critical quality attributes that must be characterized, understood, and monitored.

3 reasons ZT Scan DIA is changing the game in metabolomics

For years, metabolomics researchers have faced a frustrating reality: modern high-resolution mass spectrometers can detect tens of thousands of molecular features, yet only a fraction can be confidently identified. The challenge is no longer finding molecules. It is generating the high-quality MS/MS data needed to confidently assign structures and extract meaningful biological insights.

Posted by

Roxana has over 15 years of experience in sales and marketing roles in the MS community. As Senior Global Marketing Manager for protein therapeutics at SCIEX, she specializes in communicating innovations in MS and CE-based workflows to the biopharma community.

Tags


0 Comments

Submit a Comment

Pin It on Pinterest

Share This

Share this post with your network