Malvern Zetasizer to LIMS integration for particle sizing

Seal connects Zetasizer measurements to the formulations, samples and studies behind them. Bring selected size and zeta-potential results together with method context and source files, helping scientists compare formulations with a clear view of what was measured.

Particle sizing supports a formulation study

Illustrative records for configuring a ZS Xplorer result handoff.

  1. Formulation

    FORM-073 / preparation 2

    Link the tested sample to its formulation and preparation.

  2. Measurement

    ZS-073-04 / method DLS-02

    Retain the source measurement and method context.

  3. Reported parameter

    Selected size statistic / nm

    Store the parameter name, unit and relevant weighting.

  4. Study comparison

    STUDY-073 / selected measurements

    Keep the contributing measurements and quality context accessible.

Connect the particle result to the formulation decision.

Seal keeps a measurement connected to sample preparation, formulation identity and the study conditions. Scientists can reach the reported parameter and supporting evidence from a common record, making comparisons easier to explain and revisit.

neil can help assemble a formulation comparison and show where records use different methods or reported statistics. Your team can inspect those differences before drawing a conclusion from the selected measurements.

With the records connected, try asking neil:

Compare the Zetasizer results for these formulation samples. Separate the reported statistics and methods, and show the source measurement and quality context for each comparison.

Choose the parameter table the study needs.

Malvern Panalytical documents CSV export of parameter and statistics tables from the Analyze workspace in ZS Xplorer 3.1. Confirm the software and instrument family in your installation, then select the parameters needed by the receiving workflow.

Keep the exported column definitions with the mapping and retain the source measurement reference. Seal can expose the selected values for comparison while linking back to the files or source study used for more detailed inspection.

Name the statistic as carefully as the sample.

Agree distinct fields for the reported quantities, such as a size parameter, polydispersity measure or zeta-potential result. Retain the method, unit and distribution weighting where relevant. A shared unit does not establish that two parameters describe the same quantity.

Link the measurement to the formulation sample and record the preparation and measurement conditions required by the study. This lets Seal organize comparable results together and makes method differences visible when scientists explore a wider set of measurements.

Keep individual measurements behind the summary.

Define whether the receiving result represents one measurement or a selected summary. Keep references to the contributing measurements and any recorded quality indicators. The reader should be able to see which data support the comparison.

When the analysis or selected summary changes, retain the earlier source relationship and show the revision in the review workflow. Seal connects that history to the study, giving the team a durable record of the evidence considered for a formulation decision.

Vendor references for this workflow

Test it with your data.

Use these cases to agree and test the connection’s behaviour. They are proposed acceptance checks, not completed tests or automatic connector features.

Two size columns use different reported statistics

A result table contains two size values in nm with different statistic or weighting definitions.

Expected behaviour
Map each to its own defined quantity and preserve the context needed for comparison.
Evidence to keep
The source headers, method definition and destination field mapping.

A study summary excludes a qualified measurement

A reported study summary is based on selected measurements and one measurement has a quality qualifier.

Expected behaviour
Retain the full measurement set and identify which records contributed to the selected summary.
Evidence to keep
The source measurement references, quality indicators and summary-selection record.
More checks for this connection
  • Compare exported column definitions with the configured destination fields.
  • Verify that different reported size statistics remain distinguishable.
  • Trace a study summary back to each contributing measurement.

Before you connect

Can Seal import Malvern Zetasizer results into LIMS workflows?

Yes. Configure the available ZS Xplorer export and map the selected parameters to samples in Seal. The connection preserves the measurement and method context needed by the laboratory's review process.

Can all Zetasizer size values share one result field?

Use fields that distinguish the reported statistic and its context. Match the method, units and relevant weighting before treating measurements as comparable.

Can neil help compare formulation measurements?

Yes. With formulation samples and measurement records connected in Seal, neil can help assemble a comparison and identify differences in methods, result definitions or available evidence.

Check your system’s connection options.

Confirm the installed version, available exports and permissions. These pages cover the source interface and link to setup instructions.

For configuration: Seal Scripts and local-file collection.

Build the workflow around your lab.

Start with a Seal blueprint, then connect the source evidence and records your team uses.

Start with one export.

Bring the source evidence and the records it needs to connect to. For this workflow, a useful starting pack is:

  • A representative ZS Xplorer parameter or statistics CSV and its column definitions.
  • The formulation sample identities and measurement conditions used by the study.
  • An example summary with references to its contributing measurements.
Discuss this connection