一种便携式、低成本的基于单片机的紫外和可见光光谱分析平台

IF 3.5
Alessandro Tonelli, Anna Tortone, Alessandro Grazioli, Francesco Pasquali, Michele Sozzi, Alessandro Candiani, Luca Capelli, Alessandro Bertucci
{"title":"一种便携式、低成本的基于单片机的紫外和可见光光谱分析平台","authors":"Alessandro Tonelli,&nbsp;Anna Tortone,&nbsp;Alessandro Grazioli,&nbsp;Francesco Pasquali,&nbsp;Michele Sozzi,&nbsp;Alessandro Candiani,&nbsp;Luca Capelli,&nbsp;Alessandro Bertucci","doi":"10.1002/adsr.202400163","DOIUrl":null,"url":null,"abstract":"<p>The growing ability of high-performance consumer electronics is fostering innovation in prototyping and research. Although the Raspberry Pi single-board computer (SBC) is widely used across various fields, including diagnostics, applications involving UV-based reading remain underexplored. In this study, a simple, low-cost (less than 100 euros), and portable device for UV–vis measurements based on Raspberry Pi is presented. The system integrates the AS7341 multi-channel multispectral digital sensor, offering analytical performance comparable to two commercial spectrophotometers – one benchtop and one portable – in terms of linearity, limit of detection, quantitation, and repeatability. Furthermore, the device demonstrates reliable performance both in analyzing real wine samples using two different commercial enzymatic kits and in quantifying different concentrations of synthetic DNA oligonucleotides. By providing a ready-to-use, portable, and affordable platform for UV–vis diagnostics, this prototype is well-suited for resource-limited settings, educational environments, and IoT applications where numerous distributed sensors are required for specific diagnostic tasks.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"4 4","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400163","citationCount":"0","resultStr":"{\"title\":\"A Portable and Low-Cost Single Board Computer-Based Spectrophotometric Platform for Optical Analysis in the UV and Visible Range\",\"authors\":\"Alessandro Tonelli,&nbsp;Anna Tortone,&nbsp;Alessandro Grazioli,&nbsp;Francesco Pasquali,&nbsp;Michele Sozzi,&nbsp;Alessandro Candiani,&nbsp;Luca Capelli,&nbsp;Alessandro Bertucci\",\"doi\":\"10.1002/adsr.202400163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The growing ability of high-performance consumer electronics is fostering innovation in prototyping and research. Although the Raspberry Pi single-board computer (SBC) is widely used across various fields, including diagnostics, applications involving UV-based reading remain underexplored. In this study, a simple, low-cost (less than 100 euros), and portable device for UV–vis measurements based on Raspberry Pi is presented. The system integrates the AS7341 multi-channel multispectral digital sensor, offering analytical performance comparable to two commercial spectrophotometers – one benchtop and one portable – in terms of linearity, limit of detection, quantitation, and repeatability. Furthermore, the device demonstrates reliable performance both in analyzing real wine samples using two different commercial enzymatic kits and in quantifying different concentrations of synthetic DNA oligonucleotides. By providing a ready-to-use, portable, and affordable platform for UV–vis diagnostics, this prototype is well-suited for resource-limited settings, educational environments, and IoT applications where numerous distributed sensors are required for specific diagnostic tasks.</p>\",\"PeriodicalId\":100037,\"journal\":{\"name\":\"Advanced Sensor Research\",\"volume\":\"4 4\",\"pages\":\"\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-02-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400163\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Sensor Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://advanced.onlinelibrary.wiley.com/doi/10.1002/adsr.202400163\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Sensor Research","FirstCategoryId":"1085","ListUrlMain":"https://advanced.onlinelibrary.wiley.com/doi/10.1002/adsr.202400163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

高性能消费电子产品日益增长的能力正在促进原型设计和研究方面的创新。尽管树莓派单板计算机(SBC)广泛应用于包括诊断在内的各个领域,但涉及基于uv的阅读的应用仍未得到充分开发。在这项研究中,提出了一种简单、低成本(不到100欧元)、便携式的基于树莓派的UV-vis测量设备。该系统集成了AS7341多通道多光谱数字传感器,在线性度、检测限、定量和可重复性方面,提供与两台商用分光光度计(一台台式和一台便携式)相当的分析性能。此外,该装置在使用两种不同的商业酶试剂盒分析真实葡萄酒样品和定量不同浓度的合成DNA寡核苷酸方面都表现出可靠的性能。通过提供一个即用型、便携且价格合理的UV-vis诊断平台,该原型非常适合资源有限的环境、教育环境和物联网应用,这些应用需要大量分布式传感器来完成特定的诊断任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Portable and Low-Cost Single Board Computer-Based Spectrophotometric Platform for Optical Analysis in the UV and Visible Range

A Portable and Low-Cost Single Board Computer-Based Spectrophotometric Platform for Optical Analysis in the UV and Visible Range

A Portable and Low-Cost Single Board Computer-Based Spectrophotometric Platform for Optical Analysis in the UV and Visible Range

A Portable and Low-Cost Single Board Computer-Based Spectrophotometric Platform for Optical Analysis in the UV and Visible Range

A Portable and Low-Cost Single Board Computer-Based Spectrophotometric Platform for Optical Analysis in the UV and Visible Range

The growing ability of high-performance consumer electronics is fostering innovation in prototyping and research. Although the Raspberry Pi single-board computer (SBC) is widely used across various fields, including diagnostics, applications involving UV-based reading remain underexplored. In this study, a simple, low-cost (less than 100 euros), and portable device for UV–vis measurements based on Raspberry Pi is presented. The system integrates the AS7341 multi-channel multispectral digital sensor, offering analytical performance comparable to two commercial spectrophotometers – one benchtop and one portable – in terms of linearity, limit of detection, quantitation, and repeatability. Furthermore, the device demonstrates reliable performance both in analyzing real wine samples using two different commercial enzymatic kits and in quantifying different concentrations of synthetic DNA oligonucleotides. By providing a ready-to-use, portable, and affordable platform for UV–vis diagnostics, this prototype is well-suited for resource-limited settings, educational environments, and IoT applications where numerous distributed sensors are required for specific diagnostic tasks.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信