Department of Applied Chemistry, National Chiao Tung University, 1001 University Road, Hsinchu 300, Taiwan.
Department of Applied Chemistry, National Chiao Tung University, 1001 University Road, Hsinchu 300, Taiwan; Institute of Molecular Science, National Chiao Tung University, 1001 University Road, Hsinchu 300, Taiwan.
Biosens Bioelectron. 2015 Feb 15;64:260-8. doi: 10.1016/j.bios.2014.08.087. Epub 2014 Sep 6.
Mass spectrometry (MS) is an important analytical technique with numerous applications in clinical analysis, biochemistry, environmental analysis, geology and physics. Its success builds on the ability of MS to determine molecular weights of analytes, and elucidate their structures. However, sample handling prior to MS requires a lot of attention and labor. In this work we were aiming to automate processing samples for MS so that analyses could be conducted without much supervision of experienced analysts. The goal of this study was to develop a robotics and information technology-oriented platform that could control the whole analysis process including sample delivery, reaction-based assay, data acquisition, and interaction with the analyst. The proposed platform incorporates a robotic arm for handling sample vials delivered to the laboratory, and several auxiliary devices which facilitate and secure the analysis process. They include: multi-relay board, infrared sensors, photo-interrupters, gyroscopes, force sensors, fingerprint scanner, barcode scanner, touch screen panel, and internet interface. The control of all the building blocks is achieved through implementation of open-source electronics (Arduino), and enabled by custom-written programs in C language. The advantages of the proposed system include: low cost, simplicity, small size, as well as facile automation of sample delivery and processing without the intervention of the analyst. It is envisaged that this simple robotic system may be the forerunner of automated laboratories dedicated to mass spectrometric analysis of biological samples.
质谱(MS)是一种重要的分析技术,在临床分析、生物化学、环境分析、地质学和物理学等领域有广泛的应用。其成功基于 MS 能够确定分析物的分子量并阐明其结构的能力。然而,在进行 MS 分析之前,样品处理需要大量的关注和劳动。在这项工作中,我们旨在实现样品处理的自动化,以便在没有经验丰富的分析师的监督下进行分析。本研究的目的是开发一个以机器人技术和信息技术为导向的平台,能够控制整个分析过程,包括样品输送、基于反应的测定、数据采集以及与分析师的交互。该平台采用机械臂来处理送到实验室的样品小瓶,并使用多个辅助设备来简化和确保分析过程的安全,这些设备包括:多继电器板、红外传感器、光电传感器、陀螺仪、力传感器、指纹扫描仪、条形码扫描仪、触摸屏和互联网接口。所有构建模块的控制都是通过实施开源电子(Arduino)和用 C 语言编写的自定义程序来实现的。该系统的优点包括:成本低、结构简单、体积小,以及可以轻松实现样品输送和处理的自动化,无需分析师的干预。预计这个简单的机器人系统可能是专门用于生物样品质谱分析的自动化实验室的先驱。