標題: Automated on-line liquid-liquid extraction system for temporal mass spectrometric analysis of dynamic samples
作者: Hsieh, Kai-Ta
Liu, Pei-Han
Urban, Pawel L.
應用化學系
應用化學系分子科學碩博班
Department of Applied Chemistry
Institute of Molecular science
關鍵字: Automation;Drug dissolution;Internet-of-Things;Liquid-liquid extraction;Mass spectrometry;Sample preparation
公開日期: 24-九月-2015
摘要: Most real samples cannot directly be infused to mass spectrometers because they could contaminate delicate parts of ion source and guides, or cause ion suppression. Conventional sample preparation procedures limit temporal resolution of analysis. We have developed an automated liquid-liquid extraction system that enables unsupervised repetitive treatment of dynamic samples and instantaneous analysis by mass spectrometry (MS). It incorporates inexpensive open-source microcontroller boards (Arduino and Netduino) to guide the extraction and analysis process. Duration of every extraction cycle is 17 min. The system enables monitoring of dynamic processes over many hours. The extracts are automatically transferred to the ion source incorporating a Venturi pump. Operation of the device has been characterized (repeatability, RSD = 15%, n = 20; concentration range for ibuprofen, 0.053-2.000 mM; LOD for ibuprofen, similar to 0.005 mM; including extraction and detection). To exemplify its usefulness in real-world applications, we implemented this device in chemical profiling of pharmaceutical formulation dissolution process. Temporal dissolution profiles of commercial ibuprofen and acetaminophen tablets were recorded during 10 h. The extraction-MS datasets were fitted with exponential functions to characterize the rates of release of the main and auxiliary ingredients (e.g. ibuprofen, k = 0.43 +/- 0.01 h(-1)). The electronic control unit of this system interacts with the operator via touch screen, internet, voice, and short text messages sent to the mobile phone, which is helpful when launching long-term (e.g. overnight) measurements. Due to these interactive features, the platform brings the concept of the Internet-of-Things (IoT) to the chemistry laboratory environment. (C) 2015 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.aca.2015.08.045
http://hdl.handle.net/11536/128273
ISSN: 0003-2670
DOI: 10.1016/j.aca.2015.08.045
期刊: ANALYTICA CHIMICA ACTA
Volume: 894
起始頁: 35
結束頁: 43
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