LyoINSIGHT powered by LyoCLC®

Endpoint assessment, design space analysis,
lyo-cycle optimization, scale-up, transfer,
PPQ, CPV-oriented process evaluation.
Contact Tempris to Discuss your LyoINSIGHT Project

LyoINSIGHT powered by LyoCLC®

From lyophilization complexity to data-based decisions

Every lyophilization challenge begins differently: a cycle is too long, a laboratory cycle must be scaled, a transfer to a CDMO is planned, or a production batch shows defects. LyoINSIGHT helps you structure the question, identify the data that matter, and define the technically appropriate next step.

Tempris combines representative LyoCONNECT measurement, Digital Twin context, and LyoCLC® analysis with expert consulting. The result is not another data set, but a project-specific path toward process understanding, product quality, and optimal cycle time.

Why time matters

Time lost in development, transfer, PPQ or routine production is not neutral. It can trigger additional runs, occupy scarce freeze-dryer capacity, delay customer milestones and postpone market or supply objectives.

LyoINSIGHT addresses technical uncertainty earlier — before it becomes repeated experimentation, transfer delay or blocked manufacturing capacity.

The Business Impact of Delay

According to the Tufts CSDD (Center for the Study of Drug Development) white paper “Quantifying the Value of a Day of Delay in Drug Development” (August 2024), each day of delay in prescription drug sales day costs approximately $800,000.

Typical starting points

Cycle Time & Process Optimization

Starting Situation

Your laboratory or production cycle is too long, or it includes safety margins that have never been verified against real product data.

Goal

Your laboratory or production cycle is too long, or it includes safety margins that have never been verified against real product data.

Lab Cycle Development & Scale-up

Starting Situation

You are developing a new laboratory cycle or need to determine whether an existing cycle can be scaled for pilot or production equipment.

Goal

Establish a measurable, technically justified starting point for scale-up, transfer, or production.

Product Defects & Quality Risks

Starting Situation

A batch shows melt-back, shrinkage, collapse, variable residual moisture, cake defects, or an uncertain primary-drying endpoint.

Goal

Distinguish product-, process-, position-, and equipment-related causes.

Transfer, Site Change & CDMO Projects

Starting Situation

A product must be transferred to a CDMO, another site, or a different freeze dryer.

Goal

Assess comparability, equipment fit, and the data required for engineering runs, PPQ, and routine manufacturing.

CDMO Rapid Assessment & Multi-Product Handling

Starting Situation

You need to quickly evaluate changes to customer products and define technically plausible starting parameters.

Goal

Qualify the project, identify data gaps, and prepare a faster, more defensible transfer pathway.

Personal Consultation

The typical starting points provide orientation, not an automated diagnosis. During an initial technical consultation, Tempris clarifies the product, process status, equipment, available data, quality risks, timeline, and regulatory boundary.

We will provide a compact LyoINSIGHT pre-assessment questionnaire that helps you prepare for the discussion and identify the information already available.

Your starting point is individual. The pathway is defined together.

The LyoINSIGHT Pathway

How LyoINSIGHT supports your project

UNDERSTAND → STRUCTURE → MEASURE → BASELINE → CALCULATE → SIMULATE → DECIDE

LyoCONNECT provides real product-temperature data. The Digital Twin links sensor ID, vial position, shelf, and process data. LyoCLC® calculates and models the relevant relationships. LyoINSIGHT converts the results into a customer-specific consulting pathway and a decision recommendation.

Where should we measure?

Data quality begins with representative sensor positioning. Measurement locations are selected to capture the true thermal response across relevant shelves, including edge and center vials, hot and cold spots, transition zones, and equipment-specific clusters.

The required sensor count depends on freeze-dryer size, shelf area, load pattern, vial format, equipment performance, and project objective. Sensor count reduces statistical uncertainty, and meaningful placement reduces representativeness risk.

For demanding development, transfer, or validation questions, Tempris typically recommends using 60 to 100% of the 40 available sensor channels.

Not the number of sensors alone, but representative coverage of the relevant thermal zones determines the value of the data.

LyoINSIGHT - Why Sensor Placement Determines Data Quality

Real product data before Design Space simulation

LyoINSIGHT does not begin by optimizing a theoretical model. A conservative baseline run is first performed, or an existing representative data set is qualified, to characterize actual product and equipment behavior under safe process conditions.

The baseline captures product-temperature profiles, hot/cold-spot and edge/center behavior, chamber pressure, shelf temperature, Pirani/CM signals, endpoint indicators, process variability, and equipment effects, including shelves, chamber geometry, vacuum, vapor flow, and condenser behavior.

The conservative baseline run is not an additional detour. It is the measured reference that makes subsequent calculations and simulations defensible.

How heat input, product resistance, and equipment determine the cycle

Kv characterizes the position- and equipment-dependent heat input into the product. Its assessment considers shelf contact, gas conduction, radiation, chamber pressure, vial geometry, loading, and local position.

Rp characterizes the resistance of the dried product layer to water-vapor transport. It varies during primary drying as the dried layer thickens. A joint time- and position-dependent evaluation of Kv and Rp identifies limiting vials and the safety margins actually required.

The same recipe does not necessarily yield the same product response across different freeze dryers. LyoINSIGHT therefore evaluates shelf uniformity, chamber geometry, radiation, vacuum performance, vapor-flow path, loading, and condenser capability, along with the controlled process parameters.

Condenser temperature, ice capacity, vapor path, and pressure stability can limit sublimation performance, especially at full load, during scale-up, or after transfer to another freeze dryer.

Quality and process parameters are evaluated together

LyoINSIGHT links critical quality attributes, such as residual moisture, cake appearance, reconstitution, stability, and product-specific acceptance criteria, to critical process parameters, including shelf temperature, chamber pressure, ramps, hold times, freezing conditions, primary drying, and secondary drying.

Residual-moisture estimation is offered as an additional parameter to support the primary-drying endpoint. It is not a direct measurement and does not replace Karl Fischer titration or formal release testing.

At laboratory scale, Karl Fischer reference samples collected at defined primary-drying progress points — for example, 50, 80, 90, 95, and 99% — can be related to LyoCONNECT temperature-time series, measurements, neighboring vials, and Pirani and capacitance manometer data.

LyoCLC® uses these relationships to provide a model-based residual-moisture estimate that strengthens the rationale for determining when free ice has been sufficiently removed and when transition to secondary drying can safely occur.

A Design Space anchored in real product and equipment behavior

Instead of building the Design Space from assumptions alone, LyoINSIGHT starts with the measured response from the conservative baseline run. LyoCLC® determines and interprets Kv and Rp, evaluates positional and temporal variability, and links the results to CQAs, CPPs, and equipment capability.

Only then are scenarios for chamber pressure, shelf temperature, primary-drying time, product temperature, endpoint, and safety margins assessed.

Manual simulation involves expert-guided variation and review of defined scenarios by Tempris and the customer. Automated simulation uses physical models, numerical calculations, statistical methods, and ANN-supported pattern recognition to evaluate larger combinations within predefined boundaries.

Automation does not mean an uncontrolled, autonomous GxP decision. The context of use, data quality, model version, acceptance criteria, human oversight, and change control remain aligned with the intended use.

Measured Baseline → Correct Kv/Rp Interpretation → CQA/CPP and Equipment Constraints → Manual and Automated Scenarios → Decision-ready Design Space

What you receive

A LyoINSIGHT project does not end with a raw data set. Depending on the project objective, the LyoINSIGHT Decision Report may include:

  • Structured assessment of the customer question and available data
  • Measurement strategy and sensor-positioning plan
  • Interpretation of the conservative baseline run
  • Kv/Rp assessment and position/process variability
  • Endpoint assessment with residual-moisture estimation as an additional parameter
  • Design Space scenarios and comparison of manual and automated simulations
  • Recommendation for the next engineering run, scale-up, transfer, PPQ or CPV step
  • Definition of the technical and regulatory boundary of the recommendation

Regulatory Boundary

Technically useful. Regulatory responsibilities remain clear.

LyoINSIGHT can be used as a methodology for development, engineering, transfer, or lifecycle assessment. If results are later implemented in PPQ, CPV, a registered control strategy, or a CMC change, the applicable quality and regulatory assessment must be performed separately.

Model- and ANN-supported analyses are positioned as controlled decision support. They do not replace product knowledge, predefined acceptance criteria, quality oversight, or formal release testing.

Request a Project Example

From a complex transfer question to a structured implementation pathway

A forthcoming case study will demonstrate how Tempris supports measurement strategy, equipment understanding, engineering runs, transfer preparation, and validation-related decisions in a sterile manufacturing project.

Discuss your LyoINSIGHT Project

Start with your lyophilization question

Please tell us what you need to understand, transfer, correct, or improve. Tempris will help you define the data, the method, and the appropriate next step.