Scholarlink

<p>Quantitative determination of ethanol in blood is a routine, widely used, and high-value assay in forensic toxicology. Because blood alcohol concentration results serve as key evidence for conviction and sentencing in many regions, laboratories continually prioritize within-laboratory data quality and interlaboratory consistency. Drawing on proficiency-testing data from 4073 laboratories collected from 2016 to 2023, this study evaluates how sample concentrations, quantification approaches, and analytical techniques affect accuracy and interlaboratory consistency. The results demonstrate the value of proficiency testing for interlaboratory quality control, while indicating that, when analyzing low-concentration samples that exhibit high variability, laboratories are likelier to achieve satisfactory rates if they follow standard recommendations and use headspace gas chromatography, internal standard quantification, and dual-column systems (<i>p</i> &lt; 0.05). Accordingly, this study presents quality-control recommendations centered on quantitative headspace sampling with an internal standard, dual-column verification, and concentration-dependent evaluation and explains how these recommendations have informed updates to the Chinese national standard GB/T 42430-2023, examination methods for ethanol, methanol, n-propanol, acetone, isopropanol, and n-butanol in blood and urine.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

An 8-year review of blood alcohol concentration analysis of proficiency testing using population statistics and econometrics: interlaboratory variation sources and control measures (2016–2023)

  • 期刊论文

  • 发表日期：

    2026年7月17日

查看全文
  • Xinyu Cao,
  • Xianyu Fan,
  • Zheng Qiao,
  • Wei Liu,
  • Xin Wang,
  • Hui Yan,
  • Hang Chen

摘要

Quantitative determination of ethanol in blood is a routine, widely used, and high-value assay in forensic toxicology. Because blood alcohol concentration results serve as key evidence for conviction and sentencing in many regions, laboratories continually prioritize within-laboratory data quality and interlaboratory consistency. Drawing on proficiency-testing data from 4073 laboratories collected from 2016 to 2023, this study evaluates how sample concentrations, quantification approaches, and analytical techniques affect accuracy and interlaboratory consistency. The results demonstrate the value of proficiency testing for interlaboratory quality control, while indicating that, when analyzing low-concentration samples that exhibit high variability, laboratories are likelier to achieve satisfactory rates if they follow standard recommendations and use headspace gas chromatography, internal standard quantification, and dual-column systems (p < 0.05). Accordingly, this study presents quality-control recommendations centered on quantitative headspace sampling with an internal standard, dual-column verification, and concentration-dependent evaluation and explains how these recommendations have informed updates to the Chinese national standard GB/T 42430-2023, examination methods for ethanol, methanol, n-propanol, acetone, isopropanol, and n-butanol in blood and urine.