Rapid and sensitive detection of ketamine in blood using novel fluorescence genosensor

Autor: Jiang Ling, Lingmei Lan, Jie Yan, Xingmei Li, Jifeng Cai, Weichen Li, Lagabaiyla Zha, Yunfeng Chang, Yanjun Ding, Yadong Guo
Rok vydání: 2017
Předmět:
Zdroj: Analytical and bioanalytical chemistry. 409(30)
ISSN: 1618-2650
Popis: In recent years, drug abuse has been considered as a most challenging social problem that aroused public attention. Ketamine has increased in unregulated use as a ‘recreational drug’ in teenagers. However, there is no suitable and maneuverable detection method for ketamine in situ at the moment. Fluorescence sensor technique, with predominant recognition and simple operation, is a good potential application in drug detection. Here, we first reported a highly sensitive and selective fluorescence genosensor for rapid detection of ketamine based on DNA-templated silver nanoclusters (DNA-AgNCs) probes, in which the DNA sequence could specially recognize ketamine with high affinity. Parameters affecting detection efficiency were investigated and optimized. Under optimum conditions, the as-prepared genosensor can allow for the determination of ketamine in the concentration range of 0.0001–20 μg/mL with two linear equations: one is y = 2.84x-7.139 (R2 = 0.987) for 0.0001–0.1 μg/mL, and the other is y = 1.87x-0.091 (R2 = 0.962) for 0.1–20 μg/mL, and the estimated detection limit of ketamine is 0.06 ng/mL. Moreover, the feasibility of this proposed method was also demonstrated by analyzing forensic blood samples. Compared with official gas chromatography/mass spectrometry (GC/MS), this fluorescence genosensor is simple, rapid, and accurate for quantitative determination of ketamine in blood for pharmaceutical and forensic analysis. Overall, it is the first report on a fluorescence genosensor for detecting ketamine directly in blood. This research may provide a new insight for the analyst to band fluorescence genosensor technology together with drug monitoring in the battle against drug abuse and forensic examination.
Databáze: OpenAIRE