ELISABioassayQualityChecker
ELISA Bioassay
ELISA Bioassay Quality Checker — Control of ELISA Quality ℹ️ Utility checks critical parameters of ELISA validity: • Calibration Curve Linearity (R²): ≥0.99 • Standard Recovery: 80–120% • Duplicate Precision (CV): ≤15% • Blank Optical Density (Blank OD): <0.1 (example) ⚠️ CRITICAL: If any parameter fails criteria, the entire run is considered invalid! This is a GLP/GMP requirement for bioanalytical methods. Usage: ELISABioassayQualityChecker.exe → demo mode (console output) ELISABioassayQualityChecker.exe input.csv output.json → evaluate your data Input format: BatchNumber,CurveRSquared,StandardRecoveryPercent,DuplicateCVPercent,BlankOD,CalculatedConcentration Example: ELISA-BIO-2026-001,0.998,98.5,4.2,0.05,125.5 — WHY IS THIS NEEDED? ELISA is widely used for quantification of proteins, antibodies, vaccines, and biomarkers. • Assay quality depends on many factors: incubation, washing, conjugate activity. • Calibration curve must be linear (or log-linear) with high R². • Recovery indicates method accuracy (absence of matrix effects). • Duplicate CV reflects pipetting precision and reaction homogeneity. • High Blank may indicate non-specific binding or contamination. • Automation of criteria check eliminates operator subjectivity. ⚠️ CRITICAL: • R² < 0.99 often requires curve recalculation or standard re-dilution. • CV > 15% indicates technical error (bubbles, uneven washing). • Recovery outside 80-120% may require buffer or extraction changes. • All criteria must be pre-approved in the method validation protocol. Key features: • Comprehensive check of all main ELISA QC parameters. • Support for microplate reader data (Molecular Devices, Tecan, BioTek). • Generation of run validity report. Critical parameters: • Curve R²: >= 0.99 • Recovery: 80-120% • Duplicate CV: <= 15% • Blank OD: < Limit 💡 Usage tips: 1. Use 4-parameter logistic regression (4PL) for curve fitting if sigmoidal. 2. Always include Blank and Zero Standard. 3. Check plate edges for evaporation effect (edge effect). 4. Use control samples (QC Low, Mid, High) in each run. 5. Regularly calibrate reader and check filters. ⚠️ Note: Unlike chemical analysis, bioassays have higher variability. Therefore, acceptance criteria (especially CV) may be wider (up to 20-25% at the Lower Limit of Quantitation LLOQ).
input.csv
BatchNumber,R2,Recovery%,CV%,BlankOD,Concentration ELISA-BIO-2026-001,0.998,98.5,4.2,0.05,125.5 ELISA-BIO-2026-002,0.995,102.0,6.5,0.08,85.2 ELISA-FAIL-2026-003,0.980,125.0,18.5,0.25,0.0
URS & FS — ELISA Bioassay
This document describes the user requirements and functional specification for ELISABioassayQualityChecker. The utility is intended for QC laboratory use as a rule-based check of data prepared from an instrument, LIMS, ELN, MES or an approved input.csv.
URS — User Requirements Specification
| ID | Requirement | Criticality | Acceptance criterion |
|---|---|---|---|
| URS-001 | The utility shall accept input.csv with approved columns: BatchNumber, R2, Recovery%, CV%, BlankOD, Concentration. | High | The CSV file is processed without manual header editing. |
| URS-002 | The utility shall perform deterministic evaluation for “ELISA Bioassay” without machine learning. | High | The same input data produce the same JSON result. |
| URS-003 | The utility shall validate mandatory fields, numeric formats, flags, ranges and domain plausibility. | High | Schema and conversion errors are explicitly reported. |
| URS-004 | The utility shall generate output.json with PASS / WARNING / FAIL statuses, source values, warnings and failures. | High | The JSON result is suitable for review, deviation investigation and integration. |
| URS-005 | The documentation shall support IQ/OQ/PQ or CSV/CSA verification. | Medium | URS/FS, CSV/JSON contract and test scenarios are supplied with the utility. |
input.csv contract
| # | Field | Sample | Purpose |
|---|---|---|---|
| 1 | BatchNumber | ELISA-BIO-2026-001 | Input parameter for deterministic QC evaluation. |
| 2 | R2 | 0.998 | Input parameter for deterministic QC evaluation. |
| 3 | Recovery% | 98.5 | Input parameter for deterministic QC evaluation. |
| 4 | CV% | 4.2 | Input parameter for deterministic QC evaluation. |
| 5 | BlankOD | 0.05 | Input parameter for deterministic QC evaluation. |
| 6 | Concentration | 125.5 | Input parameter for deterministic QC evaluation. |
FS — Functional Specification
| ID | Function | Implementation |
|---|---|---|
| FS-001 | CSV import | Read input.csv; validate header, column count and encoding. |
| FS-002 | Schema validation | Check required fields and permitted input values. |
| FS-003 | Rule engine | Apply domain rules, limits and system suitability/specification checks described in the source utility description. |
| FS-004 | Status aggregation | Produce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance. |
| FS-005 | JSON export | Write machine-readable output.json for LIMS/ELN/MES and QA/QC review. |
OQ/PQ scenarios
- OQ-001: a valid sample row shall be processed without schema error.
- OQ-002: a missing mandatory column shall produce a schema error.
- OQ-003: a non-numeric value in a numeric field shall produce a conversion error.
- OQ-004: a critical parameter outside the limit shall produce
FAILor a critical finding. - PQ-001: user real batches shall be checked with retention of
input.csv,output.json, utility version and checksum.
Included in packages
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OpenRadiology QC Suite
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