AI-Assisted Troubleshooting for Regulated Small Molecule Bioanalysis
Peak tailing at LLOQ?
Broad peaks in plasma samples?
Fronting at ULOQ?
Unstable integration during validation batches?
In regulated PK bioanalysis, peak distortion is not cosmetic — it impacts:
- Accuracy
- Precision
- LLOQ robustness
- Reportable data integrity
- Regulatory confidence
This engine analyzes your method conditions and ranks the most probable mechanistic causes, with confirmation tests and corrective actions.
🚀 What This Tool Does
The LC–MS PK Peak Integrity Engine evaluates:
- Injection solvent mismatch
- pH / pKa misalignment
- Secondary silanol interactions
- Metal adsorption effects
- Column aging / contamination
- Buffer strength limitations
- Matrix-driven distortion
- Sample precipitation at column head
- Column overload
Instead of a checklist, you receive:
- 🔎 Ranked mechanistic probabilities
- 🧪 Targeted confirmation experiments
- 🛠 Specific corrective actions
- ⚠ Regulatory risk impact assessment
- 📘 Preventive SOP recommendations
This is structured decision support — not generic advice.
🎯 Designed Specifically For
- Small molecule PK assays
- Plasma/serum matrices
- Triple quadrupole LC–MS
- GLP / GCP / regulated environments
- Scientists validating or maintaining bioanalytical methods
If you’re troubleshooting during validation, partial validation, or routine production batches — this tool is built for your workflow.
🧠 Why It’s Different
Most troubleshooting resources are:
- Generic
- UV-centric
- Non-regulatory
- Non-mechanistic
LabVeda combines:
- 15+ years of LC–MS bioanalysis expertise
- Structured troubleshooting logic
- AI-assisted feature scoring
- Regulatory-aware decision framing
This engine translates real-world experience into structured, reproducible logic.
⏱ Takes 2–3 Minutes
Answer a short set of high-signal questions about:
- Peak behavior
- Injection conditions
- Chemistry
- Column state
- Sample prep
- Matrix
The engine calculates weighted hypotheses and returns the most likely root causes.
🔒 Built for Scientific Rigor
Every recommendation includes:
- Mechanistic reasoning
- Confirmatory experiment
- Practical corrective action
- Preventive SOP-level guidance
This makes it suitable for use in:
- Method development
- Assay transfer
- Validation troubleshooting
- Lifecycle management