🔬 HPLC System Suitability (SST)

Why this is needed: Per FDA and USP <621> regulations, QC Analysts must mathematically prove the HPLC/GC machine is highly precise before testing actual medicine. If the RSD is too high, the test is legally invalid.

Inj 1:
Inj 2:
Inj 3:
Inj 4:
Inj 5:
1,057,180
Mean Peak Area
0.39 %
Relative Standard Deviation (RSD)
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USP Limit: The precision of replicate injections (RSD) must strictly be ≤ 2.0% for the system to be deemed suitable for active drug assay testing.

🧪 HPLC Analytical Assay %

Why this is needed: The core formula of a QC lab. Determines the exact concentration of raw APIs and finished tablets to ensure patients receive the correct medical dose.

98.9 %
Calculated Assay (Limit: 98-102%)
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Formula: (Sample Area ÷ Standard Area) × (Standard Wt ÷ Sample Wt) × Purity %.
Assumes equal dilution volumes for standard and sample.

📅 QC Stability Pull Scheduler

Why this is needed: FDA ICH Q1A guidelines require precise interval testing to prove a drug's expiry date. Missing a pull date by even a few days can invalidate millions of dollars of product.

  • Month 1 to 3: strict ± 3 Days
  • Month 6 to 12: allowed ± 7 Days
  • Month 24+: allowed ± 14 Days

Mandatory Pull Dates:

Warning: Always pull samples ON the exact target date whenever possible. The window is for unforeseen lab delays/weekends only.

☑️ Master Batch Record (BMR) Release

Why this is needed: CFR 211.192 mandates that the Quality Assurance unit must independently review and sign off on all production and lab records before a drug can be legally sold.

🔒
BATCH QUARANTINED
QA review incomplete. Do not ship.
Sign-off Authority: Only a designated Quality Assurance Manager (Qualified Person / QP) has the legal authority to transition this batch from Quarantine to Market.

📋 FDA Inspection Readiness Scorecard

Why this is needed: Unannounced FDA/EMA audits can result in factory shutdowns (Form 483 Warning Letters). QA evaluates these 5 primary compliance pillars weekly to ensure audit-readiness.

100%
Overall Health Score
Ready for FDA Inspection
Scores below 100% mean you have active FDA violations. A score below 75% indicates a high probability of receiving an Official Action Indicated (OAI) status.

💊 AQL Sampling Standard (ISO 2859-1)

Why this is needed: You cannot physically test 50,000 tablets. ISO 2859-1 dictates the mathematically minimum sample size required to statistically prove the entire batch is safe, providing legal Accept/Reject thresholds.

Calculations based on General Inspection Level II (Normal).
200
Samples to Pull & Inspect
Accept (Ac) if errors ≤
3
Reject (Re) if errors ≥
4
Rule: If defects equal or exceed the "Reject (Re)" number, the entire parent batch must be quarantined or destroyed. It cannot be sold.

📊 USP Content Uniformity (AV)

Why this is needed: USP <905> mandates that tablets in a batch must be uniformly mixed. The "Acceptance Value" proves consistency using a rigorous statistical k-factor.

Mean (X)
100.5%
Std. Deviation (s)
1.2
2.88
Acceptance Value (AV)
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USP Formula: AV = |M - X| + ks. Target (T) is 100%. If AV ≤ 15.0, the batch passes L1 Stage. If > 15.0, test 20 more tablets (L2 stage).

📈 Six Sigma Cpk Process Capability

Why this is needed: QA uses Cpk during process validation to mathematically prove that a tablet press or filling machine will consistently produce drugs within FDA limits without producing defects.

Enter historical data summarizing a 30-batch manufacturing run to determine the machine's true centering and variation.
1.45
Process Capability Index (Cpk)
1.58
Cpl (Lower)
1.45
Cpu (Upper)
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Industry Standard: A Cpk of 1.33 is the absolute minimum requirement (4 Sigma). A Cpk of 2.0 indicates an elite "Six Sigma" process generating zero defects.

💧 LOD % Moisture Calculation

Why this is needed: If wet powder is compressed into tablets, the batch will literally crumble or stick to the machine punches. Loss on Drying proves the moisture was safely evaporated.

Weight recorded after drying at 105°C for standard interval.
6.22 %
Loss on Drying (LOD)
0.2170 g
Moisture Evaporated
3.4870 g
Init. Sample Weight
Formula: [ (W2 - W3) / (W2 - W1) ] * 100.