Kim Jeong Eun, Kim Seon Yeong, Cheong Jae Chul, Kim Jin Young
Forensic Genetics and Chemistry Division, Supreme Prosecutors' Office, Seoul, Republic of Korea.
Biomed Chromatogr. 2025 Jun;39(6):e70074. doi: 10.1002/bmc.70074.
Increasing social concern regarding individuals with mental health disorders in the criminal justice system has underscored the need for effective strategies to reduce recidivism. Medication compliance monitoring is a critical approach that ensures adherence to prescribed treatments, facilitating the reintegration of these individuals into society. This study focuses on the development and validation of a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for detecting 59 psychotropic drugs and their metabolites in urine, addressing a significant gap in existing monitoring techniques. Utilizing a dilute-and-shoot approach for urine sample preparation, we established a robust analytical method that demonstrated high sensitivity and precision, with limits of detection ranging from 0.07 to 1.5 ng/mL and correlation coefficients consistently above 0.997. The method was validated through various parameters, including selectivity, stability, and accuracy, ensuring reliable performance in forensic applications. Analysis of urine samples from 248 individuals on probation with mental health conditions confirmed the practicality of the method, identifying 53 psychotropic substances. The LC-MS/MS method was successfully applied for medication compliance monitoring of mentally disordered probationers. Therefore, this analytical method could provide clear evidence for preventing the recurrence of mentally disordered crimes.
社会对刑事司法系统中患有精神疾病的个体日益关注,这凸显了采取有效策略以减少累犯的必要性。药物依从性监测是一种关键方法,可确保患者坚持规定的治疗,促进这些个体重新融入社会。本研究聚焦于开发和验证一种液相色谱 - 串联质谱(LC-MS/MS)方法,用于检测尿液中的59种精神药物及其代谢物,填补了现有监测技术中的重大空白。我们采用稀释进样法进行尿液样品制备,建立了一种稳健的分析方法,该方法具有高灵敏度和精密度,检测限范围为0.07至1.5 ng/mL,相关系数始终高于0.997。该方法通过包括选择性、稳定性和准确性在内的各种参数进行了验证,确保在法医应用中具有可靠的性能。对248名患有精神疾病的缓刑人员的尿液样本进行分析,证实了该方法的实用性,共鉴定出53种精神活性物质。LC-MS/MS方法成功应用于对患有精神疾病的缓刑人员的药物依从性监测。因此,这种分析方法可为预防精神疾病患者再次犯罪提供明确证据。