TY - JOUR

T1 - Analytical method reliability index (AMRI) as an innovative tool and software for the assessment of analytical procedure

AU - Mansour, Fotouh R.

AU - Locatelli, Marcello

AU - Fuente-Ballesteros, Adrián

AU - Bedair, Alaa

N1 - Publisher Copyright: © 2026 The Author(s)

PY - 2026/2

Y1 - 2026/2

N2 - The reliability of an analytical method is paramount, especially in high-stakes fields like forensic science, where results can directly affect legal outcomes. While traditional method validation establishes a baseline for acceptability, it often fails to differentiate between methods that merely meet minimum criteria and those that demonstrate superior and robust performance. To address this gap, the Analytical Method Reliability Index (AMRI) was introduced, an innovative scoring tool and software (available at bit.ly/AMRI2026) designed specifically to provide a standardized, quantitative assessment of analytical method reliability. The AMRI framework builds upon international validation guidelines (e.g., ICH, FDA) and employs a tailored scoring system for key parameters, including linearity, range, accuracy, precision, selectivity, robustness, stability, and application to real samples. Each parameter is evaluated against application-specific acceptance criteria, rewarding methods that exceed minimum requirements. The composite AMRI score facilitates objective comparison and selection of the most dependable analytical procedures. The utility of AMRI is demonstrated through several case studies involving pharmaceutical analysis in biological fluids, where it successfully differentiated the different methods in the case studies with scores ranging from 36 to 82, clearly reflecting their relative reliability. AMRI serves as a crucial complementary tool to validation, enhancing transparency, supporting defensible decision-making, and ensuring analytical methods are not only valid on paper but also robust and trustworthy in practice.

AB - The reliability of an analytical method is paramount, especially in high-stakes fields like forensic science, where results can directly affect legal outcomes. While traditional method validation establishes a baseline for acceptability, it often fails to differentiate between methods that merely meet minimum criteria and those that demonstrate superior and robust performance. To address this gap, the Analytical Method Reliability Index (AMRI) was introduced, an innovative scoring tool and software (available at bit.ly/AMRI2026) designed specifically to provide a standardized, quantitative assessment of analytical method reliability. The AMRI framework builds upon international validation guidelines (e.g., ICH, FDA) and employs a tailored scoring system for key parameters, including linearity, range, accuracy, precision, selectivity, robustness, stability, and application to real samples. Each parameter is evaluated against application-specific acceptance criteria, rewarding methods that exceed minimum requirements. The composite AMRI score facilitates objective comparison and selection of the most dependable analytical procedures. The utility of AMRI is demonstrated through several case studies involving pharmaceutical analysis in biological fluids, where it successfully differentiated the different methods in the case studies with scores ranging from 36 to 82, clearly reflecting their relative reliability. AMRI serves as a crucial complementary tool to validation, enhancing transparency, supporting defensible decision-making, and ensuring analytical methods are not only valid on paper but also robust and trustworthy in practice.

KW - AMRI

KW - Analytical methods reliability

KW - Method validation

KW - Performance index

KW - Scoring system

KW - Chemistry

UR - https://www.scopus.com/pages/publications/105027200416

U2 - 10.1016/j.microc.2026.116826

DO - 10.1016/j.microc.2026.116826

M3 - Journal articles

AN - SCOPUS:105027200416

VL - 221

JO - Microchemical Journal

JF - Microchemical Journal

SN - 0026-265X

M1 - 116826

ER -