From solvent selection to pH optimization and sedimentation control, slurry stability is at the heart of electrode performance. Small formulation changes can significantly impact coating uniformity, mechanical strength, and ultimately battery lifetime. In this edition, we highlight three application notes demonstrating how TURBISCAN technology enables fast, quantitative stability analysis to:
📊 Detect early-stage sedimentation and aggregation before coating
⚗️ Optimize pH‑dependent polymer adsorption in aqueous cathode systems
🌱 Identify and validate greener solvent alternatives using the Hansen approach
Whether you’re refining formulation parameters or improving process consistency, these insights show how to move from trial‑and‑error to data‑driven slurry optimization. Explore the summaries below and dive into the full application notes to see the complete methodology and results.
📊 Stable & Homogeneous Electrode Slurries — Detect Instability Before It Impacts Performance
Sedimentation. Aggregation. Heterogeneous coatings.
Small slurry instabilities can translate into major battery performance issues — but they’re not always visible until it’s too late. This application note shows how TURBISCAN’s Static Multiple Light Scattering (SMLS) technology detects and quantifies early-stage destabilization in lithium-ion electrode slurries — faster than visual inspection.
Key insights include:
✅ How ΔBS profiles reveal sedimentation and clarification in less than a day
✅ A simple ranking method to compare slurry formulations quantitatively
If you’re optimizing electrode formulation, mixing conditions, or batch consistency, this note demonstrates how to identify instability before coating — and before performance suffers.
⚗️ Optimizing Cathode Slurry Stability
How does pH influence polymer adsorption and slurry stability in lithium-ion battery cathodes? This application note explores how Poly(acrylic acid) (PAA) affects the dispersion of LiFePO₄ (LFP) and Carbon Black (CB) in aqueous systems — and how the optimal pH differs for each material. Using TURBISCAN’s Static Multiple Light Scattering technology, stability was monitored over 12 hours to reveal: ✅ Improved LFP stability around pH 6
✅ Optimal CB dispersion near pH 7.7
⚠️ Destabilization at extreme pH due to reduced polymer adsorption The takeaway? Binder performance is highly pH-dependent — and particle-specific.Discover how quantitative stability analysis can help you fine‑tune aqueous battery slurry formulations and prevent costly production issues.
🌱 Greener, More Stable Battery Slurries
Can you predict slurry stability before scaling up?
This application note shows how combining Hansen Solubility Parameters (HSP) with TURBISCAN stability analysis enables fast, data-driven reformulation of lithium-ion NCA battery slurries — including the successful validation of greener solvent alternatives.
By building a Hansen stability sphere and verifying predictions with quantitative RTSI measurements, formulators can reduce trial-and-error, improve dispersion stability, and accelerate sustainable solvent selection.
✅ Predict stability
✅ Validate with real measurements
✅ Identify viable green solvents
Curious how it works in practice?
📩 Want to optimize your battery slurries?
✅ Contact our experts
✅ Request a demo and/or a FREE sample analysis
✅ Discuss your formulation challenges
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