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用于高重复性海洋实验的连续处理应用机器人(STAR)

Sequential Treatment Application Robot (STAR) for high-replication marine experimentation.

作者信息

Enochs I C, Soderberg N, Palacio-Castro A M, Eaton K

机构信息

Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, NOAA, 4301 Rickenbacker Cswy, Miami, FL 33149, USA.

Cooperative Institute for Marine and Atmospheric Studies, University of Miami, 4600 Rickenbacker Cswy, Miami, FL 33149, USA.

出版信息

HardwareX. 2024 Mar 28;18:e00524. doi: 10.1016/j.ohx.2024.e00524. eCollection 2024 Jun.

Abstract

Marine organisms are often subject to numerous anthropogenic stressors, resulting in widespread ecosystem degradation. Physiological responses to these stressors, however, are complicated by high biological variability, species-specific sensitivities, nonlinear relationships, and countless permutations of stressor combinations. Nevertheless, quantification of these relationships is paramount for parameterizing predictive tools and ultimately for effective management of marine resources. Multi-level, multi-stressor experimentation is therefore key, yet the high replication required has remained a logistical challenge and a financial barrier. To overcome these issues, we created an automated system for experimentation on marine organisms, the Sequential Treatment Application Robot (STAR). The system consists of a track-mounted robotic arm that sequentially applies precision treatments to independent aquaria via syringe and peristaltic pumps. The accuracy and precision were validated with dye and spectrophotometry, and stability was demonstrated by maintaining corals under treatment conditions for more than a month. The system is open source and scalable in that additional treatments and replicates may be added without incurring multiplicative costs. While STAR was designed for investigating the combined impacts of nutrients, warming, and disease on reef-building corals, it is highly customizable and may be used for experimentation involving a diverse array of treatments and species.

摘要

海洋生物常常受到众多人为压力源的影响,导致生态系统普遍退化。然而,由于生物变异性高、物种特异性敏感性、非线性关系以及压力源组合的无数种排列,对这些压力源的生理反应变得复杂。尽管如此,量化这些关系对于参数化预测工具以及最终有效管理海洋资源至关重要。因此,多层次、多压力源实验是关键,但所需的高重复次数一直是一个后勤挑战和资金障碍。为了克服这些问题,我们创建了一个用于海洋生物实验的自动化系统,即顺序处理应用机器人(STAR)。该系统由一个安装在轨道上的机械臂组成,该机械臂通过注射器和蠕动泵将精确处理依次应用于独立的水族箱。通过染料和分光光度法验证了准确性和精度,并通过在处理条件下将珊瑚维持一个多月证明了稳定性。该系统是开源且可扩展的,因为可以添加额外的处理和重复,而不会产生成倍的成本。虽然STAR是为研究营养物质、变暖以及疾病对造礁珊瑚的综合影响而设计的,但它具有高度可定制性,可用于涉及各种处理和物种的实验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f894/11022082/ff0d8ec7125c/ga1.jpg

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