碳氧血红蛋白
色谱法
化学
腐败
火焰离子化检测器
气相色谱法
产量(工程)
分析化学(期刊)
准确度和精密度
死后变化
法医毒理学
定量分析(化学)
人类血液
饱和(图论)
样品制备
毛细管气相色谱法
甲烷
毛细管作用
检出限
作者
Roman Papoušek,Vladimíra Gebauerová,M Staňková,Petr Handlos,Edita Červenková,Denisa Ptáčková,Lucie Borovcová
摘要
In some cases, the determination of carboxyhemoglobin (COHb) concentration in postmortem blood using standard spectrophotometric methods, may be either impossible or yield misleading results. In forensic laboratories, there is an increasing need to analyze COHb saturation in autopsy blood samples, the quality of which is often compromised by various factors. Therefore, a gas chromatographic method has been developed and validated to confirm the results of an established spectrophotometric method and to determine the concentration of COHb in postmortem samples affected by processes such as putrefaction or thermocoagulation. This method is based on automated headspace analysis of a blood sample treated with a solution of potassium hexacyanoferrate and saponin. It employs a combination of two capillary columns for chromatographic separation, followed by a highly sensitive detection system that incorporates a methanizer to convert carbon monoxide (CO) to methane couple to a flame ionization detector. The percentage of COHb concentration is calculated using the ratio of the analyzed blood to that of fully CO-saturated blood. Careful optimization of the method has reduced the sample requirement to 100 mg while maintaining high sensitivity. Additionally, the sample pretreatment process has been simplified to ensure that the method can be easily integrated into the routine operation of a conventional forensic laboratory. The method demonstrates linearity across a concentration range of 0.1% to 100% COHb. The determined values of limit of detection (<0.01% COHb) and limit of quantification (0.1% COHb) reflect excellent sensitivity. Overall, the validation study confirmed the method for its intended purpose. The method is particularly effective in reliably determining COHb content in putrefied and similarly degraded samples. Its robustness has been further validated through the analysis of dozens of real samples over more than 4 years.
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