NIR_RealTime_Blend_Endpoint

NIR Real-Time Blend Endpoint

Lumex QC URS & FS input.csv output.json rule-based LIMS-ready NIR
Open selection

Utility description: NIR Real-Time Blend Endpoint

NIR Real-Time Blend Endpoint — Determination of Blending Endpoint in Real-Time (PAT)

ℹ️  Utility controls blending process using NIR spectroscopy data:
   • Homogeneity Metric (e.g., Block Variance): ≤ Threshold Value
   • Endpoint Criterion: Met N times consecutively (usually 3-5 scans)
   • Goal: Prevent over-blending and ensure homogeneity

⚠️  CRITICAL: Premature stop → blend non-uniformity (Content Uniformity fail)!
   Over-blending → segregation or degradation of sensitive components.

Usage:
 NIR_RealTime_Blend_Endpoint.exe                            → demo mode (console output)
 NIR_RealTime_Blend_Endpoint.exe input.csv output.json      → evaluate your data

Input format:
BatchNumber,CurrentTimeMin,HomogeneityMetric,EndpointThreshold,ConsecutivePassCount,RequiredConsecutivePass

Example:
 BLEND-PAT-2026-001,15.0,0.05,0.1,3,3

— WHY IS THIS NEEDED?
PAT (Process Analytical Technology) allows quality control during manufacturing.
• Traditional approach: fixed blending time + off-line sampling. Slow and risky.
• PAT approach: NIR probe (e.g., InfraLUM FT-12) continuously acquires spectra from the blender volume.
• Algorithm calculates metric of difference between sequential spectra or blocks of spectra.
• When blend becomes homogeneous, spectrum stops changing, and metric drops below threshold.
• This allows stopping the blender immediately after reaching homogeneity, saving time and energy.

⚠️  CRITICAL:
• Threshold must be set based on validation studies (correlation with reference sampling method).
• "N consecutive passes" requirement is necessary to exclude false positives due to random spectral fluctuations or mixer blade passing near the probe.
• Metric can be based on PCA (Principal Component Analysis), Block Variance, or Correlation Coefficient.
• Probe must be installed in the zone of active powder flow.

Key features:
• Real-time NIR data analysis.
• Robust endpoint determination logic (Consecutive Pass).
• Integration with blender control systems (PLC/SCADA).

Critical parameters:
• Homogeneity Metric: <= Threshold (e.g., 0.1)
• Consecutive Passes: >= Required Count (e.g., 3)

💡 Usage tips:
1. Perform preliminary calibration: determine metric threshold corresponding to successful Content Uniformity (CU) test.
2. Account for blender rotation speed effect on spectrum (Doppler effect or bulk density changes).
3. Use spectral pretreatment (SNV, Detrend) to compensate for physical effects.
4. Set spectral acquisition rate higher than blender rotation frequency.
5. Save all raw spectra for subsequent auditing and retrospective analysis.

⚠️ Note: This method does not measure concentration directly but assesses spectral stability over time, which is an indirect but very reliable indicator of achieving macroscopic and microscopic blend homogeneity.

input.csv

BatchNumber,TimeMin,MetricValue,Threshold,ConsecPassCount,ReqConsecPass
BLEND-PAT-2026-001,15.0,0.05,0.1,3,3
BLEND-PAT-2026-002,10.0,0.15,0.1,0,3
BLEND-PAT-2026-003,12.0,0.08,0.1,2,3

Utility description

NIR Real-Time Blend Endpoint — Determination of Blending Endpoint in Real-Time (PAT)

ℹ️  Utility controls blending process using NIR spectroscopy data:
   • Homogeneity Metric (e.g., Block Variance): ≤ Threshold Value
   • Endpoint Criterion: Met N times consecutively (usually 3-5 scans)
   • Goal: Prevent over-blending and ensure homogeneity

⚠️  CRITICAL: Premature stop → blend non-uniformity (Content Uniformity fail)!
   Over-blending → segregation or degradation of sensitive components.

Usage:
 NIR_RealTime_Blend_Endpoint.exe                            → demo mode (console output)
 NIR_RealTime_Blend_Endpoint.exe input.csv output.json      → evaluate your data

Input format:
BatchNumber,CurrentTimeMin,HomogeneityMetric,EndpointThreshold,ConsecutivePassCount,RequiredConsecutivePass

Example:
 BLEND-PAT-2026-001,15.0,0.05,0.1,3,3

— WHY IS THIS NEEDED?
PAT (Process Analytical Technology) allows quality control during manufacturing.
• Traditional approach: fixed blending time + off-line sampling. Slow and risky.
• PAT approach: NIR probe (e.g., InfraLUM FT-12) continuously acquires spectra from the blender volume.
• Algorithm calculates metric of difference between sequential spectra or blocks of spectra.
• When blend becomes homogeneous, spectrum stops changing, and metric drops below threshold.
• This allows stopping the blender immediately after reaching homogeneity, saving time and energy.

⚠️  CRITICAL:
• Threshold must be set based on validation studies (correlation with reference sampling method).
• "N consecutive passes" requirement is necessary to exclude false positives due to random spectral fluctuations or mixer blade passing near the probe.
• Metric can be based on PCA (Principal Component Analysis), Block Variance, or Correlation Coefficient.
• Probe must be installed in the zone of active powder flow.

Key features:
• Real-time NIR data analysis.
• Robust endpoint determination logic (Consecutive Pass).
• Integration with blender control systems (PLC/SCADA).

Critical parameters:
• Homogeneity Metric: <= Threshold (e.g., 0.1)
• Consecutive Passes: >= Required Count (e.g., 3)

💡 Usage tips:
1. Perform preliminary calibration: determine metric threshold corresponding to successful Content Uniformity (CU) test.
2. Account for blender rotation speed effect on spectrum (Doppler effect or bulk density changes).
3. Use spectral pretreatment (SNV, Detrend) to compensate for physical effects.
4. Set spectral acquisition rate higher than blender rotation frequency.
5. Save all raw spectra for subsequent auditing and retrospective analysis.

⚠️ Note: This method does not measure concentration directly but assesses spectral stability over time, which is an indirect but very reliable indicator of achieving macroscopic and microscopic blend homogeneity.

URS & FS — User Requirements and Functional Specification

This document describes the controlled interface, user requirements and functional behaviour of NIR_RealTime_Blend_Endpoint. The utility is intended for automated verification of laboratory, pharmacopoeial, analytical or manufacturing QC parameters using input.csv and producing a structured output.json result.

Domain limits and critical parameters

Before production use, all limits must be verified against the approved specification, registration dossier, pharmacopoeial monograph, validated method and local SOPs.
  • • Traditional approach: fixed blending time + off-line sampling. Slow and risky.
  • • PAT approach: NIR probe (e.g., InfraLUM FT-12) continuously acquires spectra from the blender volume.
  • • Algorithm calculates metric of difference between sequential spectra or blocks of spectra.
  • • When blend becomes homogeneous, spectrum stops changing, and metric drops below threshold.
  • • This allows stopping the blender immediately after reaching homogeneity, saving time and energy.
  • • Threshold must be set based on validation studies (correlation with reference sampling method).
  • • "N consecutive passes" requirement is necessary to exclude false positives due to random spectral fluctuations or mixer blade passing near the probe.
  • • Metric can be based on PCA (Principal Component Analysis), Block Variance, or Correlation Coefficient.
  • • Probe must be installed in the zone of active powder flow.
  • • Real-time NIR data analysis.
  • • Robust endpoint determination logic (Consecutive Pass).
  • • Integration with blender control systems (PLC/SCADA).
  • • Homogeneity Metric: <= Threshold (e.g., 0.1)
  • • Consecutive Passes: >= Required Count (e.g., 3)
  • • Homogeneity Metric (e.g., Block Variance): ≤ Threshold Value

URS — User Requirements Specification

IDRequirementCriticalityAcceptance criterion
URS-001The utility shall accept an input.csv file with exact headers defined in the data contract.HighThe file is processed without manual header editing.
URS-002The utility shall perform deterministic evaluation for NIR Real-Time Blend Endpoint using input values, approved limits and domain rules.HighEach row receives a PASS / WARNING / FAIL status.
URS-003The utility shall validate mandatory fields, data types, numeric ranges, units and domain plausibility.HighSchema, format and conversion errors are explicitly reported.
URS-004The utility shall identify critical deviations for parameters stated in the method description and specification.HighA critical deviation causes FAIL or a dedicated critical finding.
URS-005The utility shall generate output.json with machine-readable results, source values, warnings and failures.HighJSON is suitable for LIMS/ELN/MES integration, QA/QC review and archival.
URS-006The result shall not depend on machine learning or undocumented heuristics.MediumAll decisions are based on explicit rules, thresholds and input values.
URS-007The system shall preserve traceability between batch/sample, input data, applied rules and final status.HighThe output contains the batch/sample identifier and checked parameters.
URS-008The documentation shall support IQ/OQ/PQ preparation and inspection discussion.MediumURS, FS, CSV/JSON contract and test scenarios are supplied with the utility.
URS-009The utility shall support batch processing of multiple input.csv rows.MediumEach row is evaluated independently; errors in one row do not mask errors in others.
URS-010The utility shall support a simple operating model: demo mode and execution with input/output files.MediumThe CLI scenario is reproducible in test and production environments.

input.csv contract

#FieldTypeSamplePurpose
1BatchNumberstringBLEND-PAT-2026-001Batch or lot identifier used for traceability, review and deviation investigation.
2TimeMindecimal15.0Time-related process or analytical observation parameter.
3MetricValuedecimal0.05Relative standard deviation; precision metric for the process or analytical method.
4Thresholddecimal0.1Defined threshold or acceptance limit used for the rule decision.
5ConsecPassCountflag / boolean3Controlled input parameter used by deterministic QC rules and traceable result generation.
6ReqConsecPassflag / boolean3Controlled input parameter used by deterministic QC rules and traceable result generation.
BatchNumber,TimeMin,MetricValue,Threshold,ConsecPassCount,ReqConsecPass
BLEND-PAT-2026-001,15.0,0.05,0.1,3,3
BLEND-PAT-2026-002,10.0,0.15,0.1,0,3
BLEND-PAT-2026-003,12.0,0.08,0.1,2,3

FS — Functional Specification

IDFunctionImplementation
FS-001CSV importRead input.csv in UTF-8/CSV-compatible format and validate the header and expected columns.
FS-002Schema validationCheck mandatory fields, column count, critical missing values and row structure.
FS-003Type conversionConvert numeric, flag and text values; invalid formats are recorded as row-level errors.
FS-004Domain rule engineApply domain rules for NIR Real-Time Blend Endpoint, including limits from the utility description and approved specification.
FS-005Status aggregationProduce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance.
FS-006JSON exportWrite output.json with detailed checks, source values, warnings, failures and critical findings.
FS-007Audit supportKeep the result structure suitable for review, deviation investigation, calculation reproduction and IQ/OQ/PQ preparation.
FS-008Integration contractSupport the production scenario: LIMS/ELN/MES creates input.csv, the utility returns output.json, and the portal displays description and documentation.
FS-009Error handlingReport errors unambiguously and do not substitute missing values with calculated values unless the rule is explicitly defined.
FS-010Version control supportDocument the utility version, input contract, executable checksum and rule application date.

Example output.json

{
  "utilityId": "nir-realtime-blend-endpoint",
  "utilityName": "NIR_RealTime_Blend_Endpoint",
  "overallStatus": "PASS|WARNING|FAIL",
  "sourceFile": "input.csv",
  "checks": [
    {
      "parameter": "BatchNumber",
      "value": "BLEND-PAT-2026-001",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "TimeMin",
      "value": "15.0",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "MetricValue",
      "value": "0.05",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "Threshold",
      "value": "0.1",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "ConsecPassCount",
      "value": "3",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    },
    {
      "parameter": "ReqConsecPass",
      "value": "3",
      "status": "PASS|WARNING|FAIL",
      "message": "Rule-based check result"
    }
  ],
  "criticalFindings": [],
  "warnings": [],
  "generatedFor": "QA/QC review and LIMS integration"
}

Traceability matrix

URSFSOQ/PQ coverage
URS-001, URS-003FS-001, FS-002, FS-003OQ-001/OQ-002/OQ-003
URS-002, URS-004FS-004, FS-005OQ-004/PQ-001
URS-005, URS-007FS-006, FS-007OQ-005/PQ-002
URS-008, URS-010FS-008, FS-010IQ-001/OQ-006

OQ/PQ test scenarios

IDScenarioExpected result
OQ-001Valid sample rowPASS or acceptable WARNING according to the rules.
OQ-002Mandatory column missingSchema error or FAIL.
OQ-003Non-numeric value in numeric fieldType-conversion error.
OQ-004Critical parameter outside limitFAIL and critical finding.
OQ-005Multiple rows with different statusesIndependent row-level evaluation.
PQ-001User real batch/sampleReviewed result with retained input/output files.

QA/QC and change control

  • Do not rename columns without updating the validator, documentation and test set.
  • Retain input.csv, output.json, executable version, documentation and checksum.
  • Before production use, perform IQ/OQ/PQ or equivalent CSV/CSA verification.
  • Critical limits must be verified against the approved specification, local SOPs and registration dossier.

Included in packages

Gastroenterology QC Suite

QC package for gastroenterology: PPIs, antiemetics, prokinetics, IBD medicines, laxatives, enzymes and GI anti-infectives.

Open

Lumex QC Suite

A single Lumex package combining the former Lumex and Lumex2 sets: instrumental and general pharmaceutical QC, AAS/ICP, CE, HPLC, NIR/PAT, stability, dissolution, content uniformity, system suitability and statistical control.

Open

Radiology QC Suite

QC package for radiology and diagnostic imaging: radiopharmaceuticals, PET/SPECT, contrast media, iodinated and gadolinium products, plus particle, sterility and endotoxin checks.

Open