发表机构
Technological University of Havana José Antonio Echeverría (CUJAE); Université Libre de Bruxelles (ULB); University of Havana（哈瓦那何塞·安东尼奥·埃切维里亚理工大学（CUJAE）; 布鲁塞尔自由大学（ULB）; 哈瓦那大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究比较评估三种开源低成本分光光度计架构，发现无普遍最优方案，多光谱传感适合现场，成像平台性能更接近实验室级，并提出选择框架以促进水质监测应用。
AI 中文摘要
低成本且开源的分光光度计的快速增长，催生了对系统化方法的需求，用以评估和比较不同的仪器架构。本研究对三种具有代表性的开源分光光度平台进行了比较评估，涵盖了离散多光谱传感和连续光谱成像两种方法。它们的性能以光谱一致性、便携性、实现复杂性和成本为指标，与商用Thermo Scientific Genesys 30分光光度计进行了对比。结果表明，没有一种架构是普遍最优的；相反，每种架构都呈现出独特的权衡，这些权衡决定了其对于特定应用的适用性。基于多光谱传感器的系统为现场部署提供了紧凑、低功耗的解决方案，而成像平台则提供了更接近实验室级仪器的光谱性能。本工作中开发的所有硬件设计、固件和软件均作为开源资源发布，以支持可重复性和进一步开发。该研究强调了将仪器架构与应用需求相匹配的重要性，并提出了一个用于评估和选择低成本分光光度计的实用框架，从而促进开源分析工具在水质监测及相关应用中的采用。
英文摘要
The rapid growth of low-cost and open-source spectrophotometers has created a need for systematic methodologies to evaluate and compare alternative instrument architectures. This study presents a comparative assessment of three representative open-source spectrophotometric platforms, encompassing discrete multispectral sensing and continuous-spectrum imaging approaches. Their performance was evaluated against a commercial Thermo Scientific Genesys 30 spectrophotometer in terms of spectral agreement, portability, implementation complexity, and cost. The results demonstrate that no single architecture is universally optimal; instead, each presents distinct trade-offs that determine its suitability for specific applications. Multispectral sensor-based systems offer compact, low-power solutions for field deployment, whereas imaging-based platforms provide spectral performance closer to laboratory-grade instrumentation. All hardware designs, firmware, and software developed in this work are released as open-source resources to support reproducibility and further development. The study highlights the importance of matching instrument architecture to application requirements and proposes a practical framework for the evaluation and selection of low-cost spectrophotometers, facilitating the adoption of open-source analytical tools for water quality monitoring and related applications.
Comments23 pages, 5 figures, 4 tables
