Rapid Identification of Buprenorphine in Patient Saliva.

Stuart Farquharson, Kathryn Dana, Chetan Shende, Zachary Gladding, Jenelle Newcomb, Jessica Dascher, Ismene L Petrakis, Albert J Arias
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引用次数: 13

Abstract

Buprenorphine is becoming the medication of choice to help patients withdraw from opioid addiction. However, treatment is compromised by the inability of physicians to assess patient usage during scheduled examinations. Here we describe the development of a point-of-care (POC) analyzer that can rapidly measure both illicit and treatment drugs in patient saliva, ideally in the physician's office, and with a degree of accuracy similar to chromatography. The analyzer employs a relatively simple supported liquid extraction to isolate the drugs from the saliva and surface-enhanced Raman spectroscopy (SERS) to detect the drugs. The SERS-based POC analyzer was used to identify buprenorphine and opioids in saliva samples by matching library spectra to samples collected from 7 veterans. The total analysis time, including sample preparation, was ~25 minutes. Buprenorphine concentration was estimated between 0 and 3 μg/mL. While no other prescription opioids were detected in any samples, heroin was identified in one sample; Δ-9 tetrahydrocannabinol (THC) was detected in 3 samples; and acetaminophen, caffeine, and nicotine were detected in several samples, none of which interfered with the measurements. The analysis was in very good agreement with urinalysis, correctly identifying the presence or absence of buprenorphine and THC in 13 of 14 measurements.

Abstract Image

Abstract Image

患者唾液中丁丙诺啡的快速鉴定。
丁丙诺啡正成为帮助患者戒除阿片类药物成瘾的首选药物。然而,由于医生无法在安排的检查中评估患者的使用情况,治疗受到损害。在这里,我们描述了一种即时(POC)分析仪的发展,该分析仪可以快速测量患者唾液中的非法药物和治疗药物,理想情况下可以在医生办公室使用,并且具有类似色谱法的准确度。该分析仪采用相对简单的支撑液体萃取法从唾液中分离药物,采用表面增强拉曼光谱(SERS)检测药物。基于sers的POC分析仪通过与7名退伍军人唾液样本的文库光谱匹配,对唾液样本中的丁丙诺啡和阿片类药物进行鉴定。包括样品制备在内的总分析时间为~25分钟。丁丙诺啡浓度在0 ~ 3 μg/mL之间。虽然没有在任何样本中检测到其他处方阿片类药物,但在一个样本中发现了海洛因;Δ-9在3份样品中检测到四氢大麻酚(tetrahydrocannabinol, THC);在几个样本中检测到对乙酰氨基酚、咖啡因和尼古丁,这些都没有干扰测量。该分析与尿液分析非常一致,14次测量中有13次正确识别丁丙诺啡和四氢大麻酚的存在或不存在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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