SOP Guide for Pharma

Analytical Method Development: SOP for Bridging Study Between Two Analytical Methods – V 2.0

Analytical Method Development: SOP for Bridging Study Between Two Analytical Methods – V 2.0

Standard Operating Procedure for Conducting a Bridging Study Between Two Analytical Methods in Analytical Method Development


Department Analytical Method Development
SOP No. SOP/AMD/298/2025
Supersedes SOP/AMD/298/2022
Page No. Page 1 of 10
Issue Date 21/05/2025
Effective Date 23/05/2025
Review Date 21/05/2026

1. Purpose

To establish a procedure for conducting a bridging study between an existing validated analytical method and a

newly developed or revised method to demonstrate equivalency and justify method replacement or parallel usage.

2. Scope

This SOP applies to Analytical Method Development and Quality Control teams when transferring from an existing method to a new method or when introducing alternate methods for regulatory, technical, or operational improvements.

3. Responsibilities

  • Method Development Scientist: Designs and coordinates the bridging study.
  • QC Analyst: Performs analyses using both methods on the same sample sets.
  • QA Executive: Reviews the comparative data and verifies report integrity and compliance.

4. Accountability

The Head of Analytical Method Development is accountable for ensuring that method bridging studies are performed in accordance with applicable guidelines and documented appropriately.

5. Procedure

5.1 Study Design

  1. Select representative batches (e.g., 3–6) of the product for testing.
  2. Analyze each batch in triplicate using:
    • Existing Method: Fully validated and currently approved method.
    • New Method: Recently validated or optimized method.
  3. Ensure both methods are executed under similar environmental and instrumental conditions.

5.2 Parameters to Compare

  • Assay (% content)
  • Related substances (individual impurities)
  • System suitability parameters (e.g., %RSD, resolution)

5.3 Acceptance Criteria

  • Assay: Mean difference between methods NMT ±2.0%
  • Impurities: Individual impurity deviation NMT ±20%
  • Precision: RSD for both methods NMT 2.0%
  • System Suitability: Must meet specification for both methods independently

5.4 Statistical Comparison

  1. Use paired t-test for mean comparison.
  2. Calculate correlation coefficient (r) between methods; r ≥ 0.98 required.
  3. Plot comparative graphs (scatter, trend, or Bland-Altman) to support visual equivalency.

5.5 Documentation

  1. Record raw data, chromatograms, and calculation sheets.
  2. Prepare a bridging report including:
    • Executive summary
    • Sample details
    • Data comparison tables
    • Statistical outcomes
    • Conclusion and justification

5.6 Change Control and Regulatory Filing

  1. If the new method is intended for regulatory submission or internal change, initiate a Change Control (CC) process.
  2. Attach bridging study report and approval as supporting documentation.

6. Abbreviations

  • API: Active Pharmaceutical Ingredient
  • RSD: Relative Standard Deviation
  • CC: Change Control
  • ICH: International Council for Harmonisation

7. Documents

  1. Bridging Study Data Sheet – Annexure-1
  2. Comparative Method Summary Table – Annexure-2
  3. Statistical Analysis Report – Annexure-3

8. References

  • ICH Q2(R1): Validation of Analytical Procedures
  • ICH Q14: Analytical Procedure Development
  • FDA Analytical Procedures and Methods Validation Guidance

9. SOP Version

Version: 2.0

10. Approval Section

Prepared By Checked By Approved By
Signature
Date
Name Anita Kapoor Devashish Kulkarni Sunita Reddy
Designation Method Development Scientist QA Reviewer Head – AMD
Department Analytical Method Development QA Analytical Method Development

11. Annexures

Annexure-1: Bridging Study Data Sheet

Sample ID Assay (%) – Existing Assay (%) – New Difference (%) Status
BS-298-01 98.7 99.2 +0.5 Pass

Annexure-2: Comparative Method Summary Table

Parameter Existing Method New Method
Column C18, 250 mm × 4.6 mm C18, 150 mm × 4.6 mm
Mobile Phase Buffer:ACN (65:35) Buffer:ACN (60:40)
Run Time 20 min 12 min
Detection UV 254 nm UV 254 nm

Annexure-3: Statistical Analysis Report

Paired t-test yielded p-value = 0.237 (>0.05), indicating no significant difference. Correlation coefficient r = 0.993. Bridging successful and method equivalency established.

Revision History:

Revision Date Revision No. Details Reason Approved By
21/05/2025 2.0 Expanded statistical tools and added regulatory linkage to ICH Q14 Annual SOP Review Sunita Reddy
05/09/2022 1.0 Initial SOP Release New SOP QA Head
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