Improvement of bioanalytical parameters through automation: suitability of a hand-like robotic system.

IF 3.8 2区 化学 Q1 BIOCHEMICAL RESEARCH METHODS
Analytical and Bioanalytical Chemistry Pub Date : 2024-11-01 Epub Date: 2024-08-29 DOI:10.1007/s00216-024-05510-7
Nicole Rupp, Michael Köppl, Lena Alexandra Düben, Larissa Ballardt, Klaus König, Thole Zuchner
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Abstract

Commercial automation systems for small- and medium-sized laboratories, including research environments, are often complex to use. For liquid handling systems (LHS), development is required not only for the robot's movements but also for adapting the bioanalytical method to the automated system. This study investigates whether a more human-like automation strategy-using a robotic system (RS)-is more suitable for research laboratories than a professional automation approach utilizing a commercial automated LHS. We conducted a series of measurements for protein determination using a Bradford assay manually, with a fully automated LHS, and with our human-like RS. Although the hand-like RS approach requires more than twice the time of the LHS, it achieved the best standard deviation in this setup (RS = 0.5, manual = 0.71, LHS = 0.86). Due to the low limit of detection (LOD) and limit of quantification (LOQ), most protein samples could be quantified with the RS (samples below LOQ = 9.7%, LOD = 0.23; LOQ = 0.25) compared to manual (samples below LOQ = 28.8%, LOD = 0.24; LOQ = 0.26) and the LHS (samples below LOQ = 36.1%, LOD = 0.27; LOQ = 0.31). In another time-dependent enzymatic assay test, the RS achieved results comparable to the manual method and the LHS, although the required time could be a constraint for short incubation times. Our results demonstrate that a more hand-like automation system closely models the manual process, leading easier to accurate bioanalytical results. We conclude that such a system could be more suitable for typical research environments than a complex LHS.

Abstract Image

通过自动化改进生物分析参数:仿手机器人系统的适用性。
用于中小型实验室(包括研究环境)的商用自动化系统通常使用复杂。对于液体处理系统(LHS)来说,不仅需要开发机器人的动作,还需要使生物分析方法适应自动化系统。本研究探讨了使用机器人系统 (RS) 这种更像人类的自动化策略是否比使用商用自动液体处理系统的专业自动化方法更适合研究实验室。我们使用布拉德福德测定法进行了一系列蛋白质测定,包括手动、全自动 LHS 和类人 RS。虽然类人 RS 方法需要的时间是 LHS 的两倍多,但它在此设置中实现了最佳标准偏差(RS = 0.5,手动 = 0.71,LHS = 0.86)。由于检测限(LOD)和定量限(LOQ)较低,大多数蛋白质样品都可以用 RS 方法定量(低于 LOQ 的样品 = 9.7%,LOD = 0.23;LOQ = 0.25),而人工方法(低于 LOQ 的样品 = 28.8%,LOD = 0.24;LOQ = 0.26)和 LHS 方法(低于 LOQ 的样品 = 36.1%,LOD = 0.27;LOQ = 0.31)则无法定量。在另一项时间依赖性酶分析测试中,RS 的结果与手工方法和 LHS 相当,但所需时间可能会对短孵育时间造成限制。我们的研究结果表明,更接近手工操作的自动化系统更容易模拟手工操作过程,从而获得准确的生物分析结果。我们的结论是,与复杂的 LHS 相比,这种系统更适合典型的研究环境。
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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来源期刊
CiteScore
8.00
自引率
4.70%
发文量
638
审稿时长
2.1 months
期刊介绍: Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.
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