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Risk Assessment Plug-and-play starting point Quality Assurance

Risk Assessment: ICH M7 Mutagenic Impurity Classification and Control Option Justification

A plug-and-play risk assessment for classifying a potential mutagenic impurity under ICH M7's five-class system and justifying the chosen control option (1 through 4), including the purge-factor evidence Option 4 requires, with a filled specimen.

Document type: Risk Assessment

Read and copy the template below into your own quality system. It is a generic starting point for your own internal use, provided as is, with no warranty; see the Terms and License. Adopting it does not by itself create compliance.

This is a ready-to-use risk assessment template. Replace every <<FILL: ...>> placeholder, confirm current guidance and thresholds before use, and route through your normal technical and QA review. A filled specimen follows.

1. Methodology

This assessment classifies each actual and potential mutagenic impurity for a given drug substance under ICH M7(R2), determines the applicable acceptable intake, and justifies the chosen control option. Classification follows the M7 five-class system; control-option selection follows the four-option framework, with Option 4 (no analytical test) requiring documented purge-factor evidence rather than a general “small fraction of the acceptable intake” claim.

2. Scope

FieldEntry
Drug substance / process<<FILL>>
Route/step(s) assessed<<FILL>>
Assessment date and author<<FILL>>

3. Impurity enumeration and classification

ImpurityStructural alert?Present in API?Experimental mutagenicity data?(Q)SAR result (2 methodologies)Assigned class (1-5)
<<FILL>><<FILL: Y/N>><<FILL: Y/N>><<FILL: Y/N, source>><<FILL: both negative / positive / equivocal>><<FILL: 1-5>>

Classification logic: Class 1, both mutagenic and carcinogenic (compound-specific limit). Class 2, mutagenic with carcinogenicity not established (default to TTC, 1.5 microgram/day, unless compound-specific data justify otherwise). Class 3, structural alert with no data of its own (default to TTC or run an Ames test to reclassify). Class 4, alert also present in a non-mutagenic API (handle as non-mutagenic). Class 5, no structural alert (handle as non-mutagenic).

4. (Q)SAR assessment detail (for impurities without experimental data)

FieldEntry
Methodology 1 (expert rule-based) result<<FILL>>
Methodology 2 (statistics-based) result<<FILL>>
Concordant?<<FILL: Y/N>>
If discordant: expert review conclusion and rationale<<FILL: signed, dated, reasoned review, not a verbal opinion>>

5. Acceptable intake

FieldEntry
TTC (default, if applicable)1.5 microgram/day
Compound-specific AI (if available)<<FILL: value and source>>
Less-than-lifetime adjustment applied?<<FILL: Y/N, treatment duration and basis>>
Multiple mutagenic impurities on spec? If 2 or more Class 2/3 impurities are specified, is the combined lifetime limit (5 microgram/day, adjusted for LTL) respected?<<FILL>>

6. Control option selection and justification

FieldEntry
Chosen option (1, 2, 3, or 4)<<FILL>>
Option 1/2: specification and test method<<FILL: spec limit, method ID, LOQ vs. AI-derived concentration>>
Option 3: skip-testing justification<<FILL: process understanding basis, periodic verification frequency>>
Option 4: purge factor evidenceSee section 7

7. Option 4 purge-factor evidence (complete only if Option 4 is selected)

FieldEntry
Step where impurity is introduced or forms<<FILL>>
Downstream steps contributing purge<<FILL: list each step>>
Purge factor per step (reactivity, solubility, volatility, ionizability basis)<<FILL: factor and basis for each step>>
Cumulative purge factor (product of per-step factors)<<FILL>>
Worst-case input level<<FILL>>
Predicted level after purge (input / cumulative purge factor)<<FILL>>
Margin vs. acceptable intake<<FILL: predicted level should sit orders of magnitude below the AI, not merely "under a low percentage of it">>
Spiking study confirming predicted purge<<FILL: study reference, spiked level, recovery/purge confirmed>>

A purge argument built only on “the level is consistently under X% of the AI” does not satisfy Option 4 on its own; ICH M7’s own Q&A is explicit on this point. The justification must rest on demonstrated purge capability tied to process understanding, evidenced by the spiking study above.

8. Conclusion and approval

FieldEntry
Overall conclusion<<FILL>>
Analytical/process chemistry approval<<FILL: name, date>>
Toxicology approval<<FILL: name, date>>
QA approval<<FILL: name, date>>

Filled specimen

Scope. Drug substance Example-API, step 4 chlorination intermediate. Assessed 15 August 2026 by M. Okafor (Process Chemistry).

Enumeration. Impurity “Int-4-Cl”: structural alert present (alkyl chloride, potential SN2 electrophile), not present in the API, no experimental mutagenicity data. (Q)SAR: both expert rule-based and statistical methodologies predict negative, concordant. Assigned class: 3 (default negative, but no experimental confirmation on file).

(Q)SAR detail. Methodology 1: negative. Methodology 2: negative. Concordant, no expert review escalation needed; documented as a standard concordant-negative call.

Acceptable intake. TTC applies as the default for Class 3: 1.5 microgram/day. No compound-specific data exist. Chronic treatment, no LTL adjustment. Only one Class 3 impurity on this specification, so the multiple-impurity cap does not apply.

Control option. Option 4 selected, no routine analytical test.

Purge evidence. Int-4-Cl forms at step 4. Three downstream steps (aqueous wash, recrystallization, final wash) each carry a purge factor of approximately 80 to 120-fold based on the impurity’s high aqueous solubility relative to the API and its reactivity under the recrystallization conditions. Cumulative purge factor: approximately 900,000-fold. Worst-case input level at step 4: 0.5% (w/w). Predicted level after purge: roughly 0.5% / 900,000, several orders of magnitude below the 1.5 microgram/day AI at the registered maximum daily dose. Spiking study SP-2026-019 confirmed the predicted purge at 5x the worst-case input level, recovering below the assay’s detection limit after the recrystallization step.

Conclusion. Option 4 is justified by demonstrated, spiking-confirmed purge capability with wide margin. No routine test required on the drug substance specification; the purge argument is retained as part of the control strategy and revisited on any change to the step 4 through final-wash sequence. Approved by Process Chemistry, Toxicology, and QA, 22 August 2026.

Common inspection findings this assessment prevents

  • Option 4 claimed with only a percentage-of-AI statement and no purge-factor or spiking evidence.
  • A Class 3 impurity’s (Q)SAR result recorded without noting whether the two methodologies were concordant.
  • A discordant (Q)SAR call resolved by an undocumented verbal expert opinion rather than a signed, reasoned review.
  • The multiple-impurity cap ignored when two or more Class 2/3 impurities sit on the same specification.

How to adapt this assessment

  1. Confirm the current TTC, multiple-impurity cap, and any compound-specific AI figures against the current ICH M7(R2) text and any addendum in force before use.
  2. Where your (Q)SAR software differs from the two-methodology approach described, document your platform’s equivalent and how it satisfies the “two complementary methodologies” expectation.
  3. Pair this assessment with the analytical method validation package when Option 1 or 2 is chosen, so the LOQ-vs-AI comparison is on file alongside the classification.
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