Zamann Pharma Support logo

Siedlerstraße 7 | 68623 Lampertheim, Germany

info@zamann-pharma.com

Request an appointment now

Environmental Monitoring Sample Integrity in Pharma: Automating Transport and Storage with LabWare 8

Environmental monitoring supports contamination control in sterile manufacturing.

However, sample integrity can weaken between collection and laboratory analysis.

Transport delays, poor storage, and mishandling can affect sample validity. Yet many companies still rely on SOPs, paper logs, and reactive deviations.

LabWare 8 closes this gap by using audit trail data to track transport and storage times.

Our team configured this data into automated compliance checks that show sample validity before analysis.

Challenges Faced

A detailed GAP analysis in Quality Management Systems is essential for identifying process deficiencies effectively.
  • Transport Time Risks: Long transport times may cause microbial overgrowth or die-off.
  • Storage Condition Risks: Incorrect temperature or humidity can affect sample results.
  • Delayed Processing: Late laboratory processing can make results less representative of sampling conditions.
  • Quality Consequences: Poor handling can cause invalid results, missed contamination, repeat sampling, deviations, and CAPAs.
  • Manual Chain of Custody: Many laboratories still depend on SOPs, handwritten logs, or ad-hoc barcode scans.
  • Limited System Controls: Traditional systems often lack automated timing checks, threshold warnings, and audit trail integration.
  • Regulatory Scrutiny: FDA and EMA inspections may challenge how companies protect EM sample integrity before analysis.
  • Weak Inspection Evidence: In one example, a sterile facility relied only on paper incubation records. The source reports that this led to a 483 observation.
  • Operational Disruption: In another example, transport delays invalidated cleanroom samples and required repeat sampling.

Zamann Pharma Support’s Approach

  • Use Audit Trail Data: LabWare 8 already records sample movements, scans, and storage information.
  • Extract Timestamps: The automation retrieves scan and movement times directly from the audit trail.
  • Capture Storage Changes: The system also captures changes in storage conditions.
  • Calculate Elapsed Time: LabWare automatically calculates transport and storage durations.
  • Display Warnings: The system shows visual warnings when defined limits are exceeded.
  • Define Thresholds: Transport and storage limits are configured for each sample type.
  • Configure Automation: Audit trail and storage data feed directly into system calculations.
  • Set Visual Indicators: Color-coded warnings help analysts identify affected samples during result entry.
  • Validate Calculations: The calculations are tested for accuracy and reliability using CSV or CSA principles.
  • Train Analysts and QA: Users learn how to interpret warnings and respond correctly.
  • Embed Sample Integrity: The control becomes part of the laboratory workflow instead of a manual afterthought.
  • Stability Studies: Track room-temperature exposure during condition changes.
  • Clinical Trial Samples: Track transport time between collection sites and central laboratories.
  • Incoming Raw Materials: Monitor retained samples, including temperature-sensitive APIs or excipients.
  • Bioburden and Endotoxin Testing: Flag samples held beyond validated hold times.
  • Chain of Custody: Provide digital evidence for sensitive samples during storage and transfer.
  • Quick Self-Diagnostic: A quick self-check can show whether your EM process has weak digital controls. If sample transfer, timing, validity, or chain-of-custody evidence cannot be verified in the system, a compliance gap may exist.

Results Achieved

  • Stronger Compliance Evidence: The system documents whether samples stay within defined timelines.
  • Earlier Risk Detection: Analysts can identify exceeded limits before analysis continues.
  • Fewer Avoidable Deviations: Invalid samples can be detected before unnecessary laboratory work begins.
  • Less Manual Work: Automatic calculations replace manual timing checks and cross-referencing.
  • Prevented Deviation: In one client example, the system identified an exceeded storage limit during result entry.
  • Better Inspection Visibility: Automated records provide objective evidence of transport and storage controls.
  • Broader Digital Control: The same approach can support other laboratory workflows using audit trail data.
  • Operational Benefits: The source links fewer deviations with faster release, lower inspection risk, and greater efficiency.
Laboratory
Digital GMP software systems with audit trail monitoring, lifecycle validation controls, and risk-based data governance supporting inspection readiness.
Services

Digital Solutions for GMP Operations

We support pharmaceutical teams in implementing, maintaining, and optimizing GMP software, data management systems, and computerized workflows that strengthen compliance, data integrity, and operational efficiency.

Read More

Contact Us

Need help? Don't hesitate to get in touch
Zamann pharma support is committed to protecting and respecting your privacy, and we’ll use your personal information to administer your account and to provide the products and services you requested from us.

FAQ

1. How can LabWare 8 detect an EM sample that exceeded transport or storage limits

LabWare 8 can use audit trail timestamps and storage data for automated calculations. The system calculates elapsed transport and storage times against defined limits. Therefore, it can display a warning during result entry when thresholds are exceeded.

2. What LabWare 8 data supports environmental monitoring sample chain-of-custody checks?

The solution uses information already captured within the system. This includes movement timestamps, scan timestamps, and storage condition changes. Therefore, companies can use system data instead of relying only on manual transport records.

3. How should a company implement LabWare 8 transport and storage time controls?

First, define transport and storage limits for each sample type. Next, configure calculations using audit trail and storage data. Then, create visual warnings during result entry. Finally, validate the calculations and train analysts and QA personnel to interpret the results.