4.1 Review

The standard addition method and its validation in forensic toxicology

Journal

FORENSIC TOXICOLOGY
Volume 39, Issue 2, Pages 311-333

Publisher

SPRINGER
DOI: 10.1007/s11419-021-00585-8

Keywords

Standard addition method; Method validation; Guidelines; New psychoactive substances (NPS); Absence of blank matrix; Surrogate analyte approach

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Although the experimental procedures for the SAM are more laborious than those of the MMCM, it is essential for quantifying target xenobiotics in special matrices that interfere significantly with conventional quantitative analyses. Proposed validation methods for the SAM in the absence of blank matrices are also addressed in this review.
Purpose In the quantitative forensic toxicological analyses using instruments, major methods to be employed are conventional matrix-matched calibration method (MMCM). However, nowadays, the needs for using the standard addition methods (SAM) are increasing. In spite of this situation, there are no reports of the guidelines for the validations of SAM. In this review, the principle, how to perform it, advantages, disadvantages, reported application data, and the details of validation procedures for the SAM are described. Methods Various databases such as SciFinder, Google and Google Scholar were utilized to collect relevant reports referring to the SAM. The long experiences of our research group on the SAM were also included in this review. Results Although the experimental procedures for the SAM are much more laborious than those of the MMCM, the SAM is essential to quantify target xenobiotic(s) in special matrices such as human solid tissues or biles, which remarkably interfere with the usual quantitative analyses. The validation methods for the SAM have been also proposed for the cases in the absence of the blank matrices. Conclusions To our knowledge, this is the first presentation of detailed SAM procedure and its validation, which will facilitate the use of the SAM in forensic toxicology. Especially for its validation, new simple methods have been proposed.

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