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Rapid High-throughput Species Identification of Botanical Material Using Direct Analysis in Real Time High Resolution Mass Spectrometry
Published on: October 2, 2016
Rapid green analytical methodology for simultaneous biomonitoring of five toxic areca nut alkaloids using UHPLC-MS/MS
Ragavendra Rao Pasupuleti1, Chien-Hung Lee2, Peter G Osborne3
1Department of Medicinal and Applied Chemistry, Kaohsiung Medical University (KMU), Kaohsiung City 807, Taiwan.
Abstract:
Areca nut (AN) is a fundamental component of betel quid (BQ), an addictive and carcinogenic mixture chewed by hundreds of millions of people in India-Asia-Pacific. Chewing of BQ is associated with oral cancers due to specific carcinogenic alkaloids (arecaidine, guvacine, guvacoline, arecoline, N-Nitrosoguvacoline) in AN. To predict the hazardous health risks of short and long-term chewing of BQ, it is crucial to identify five toxic AN alkaloids in saliva and urine of BQ chewers. This study reports a green analytical methodology comprising in-syringe assisted vortex-induced salt-enhanced liquid-liquid microextraction coupled with ultra-HPLC-MS/MS for simultaneous biomonitoring of five AN alkaloids in saliva and urine. The analytical method validation results exhibited good linearities between 0.05 and 1000 ng mL-1 with r2 > 0.9930. The detection and quantification limits were between 0.01 and 1.5 and 0.05-5 ng mL-1. Relative recoveries ranged between 87.9% and 110.1% with RSD < 9.1% for saliva samples, 81.5-115.1% with RSD < 9.7% for urine samples. The results indicated the successful identification and real-time monitoring of concentrations of five target AN alkaloids in saliva and urine of BQ chewers and demonstrated the utility of this technique as an efficient analytical protocol for routine biomonitoring of levels of toxic AN alkaloids from BQ chewers and to predict the exposure level and its harmful health risk.
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