Suppr超能文献

一种以合理精度测量荧光团温度敏感性和温度变化的经济高效方法。

A cost-effective approach to measurements of fluorophore temperature sensitivity and temperature change with reasonable accuracy.

作者信息

Cai Matthew, Sun Alexander, Yan Andrea, Ding Zachary, Jiang Melvin Zunyao, Wang Charissa, Yuan Baohong

机构信息

SRCP, RCLabX LLC, Southlake, TX, 76092, USA.

出版信息

Sci Rep. 2024 Mar 21;14(1):6823. doi: 10.1038/s41598-024-57387-2.

Abstract

The demand for measuring fluorophore temperature sensitivity and temperature change in chemical or biological samples has spurred the search for effective methods. While infrared (IR) light-based thermal devices are popular, they are limited to surface temperature measurement. Fluorescence-based thermometry, which utilizes intensity, lifetime, polarization, and spectrum change, provides the temperature information directly from the samples and can have high temporal and spatial resolution. However, measuring fluorescence can be tricky and expensive. A cost-effective approach to achieving reasonable accuracy is highly desired. This study introduces such an approach, employing a light-emitting diode (LED) for fluorophore excitation and a laser diode (LD) for sample heating, with a phone camera recording fluorescence changes. A data processing method converts the video into digital data, processed through digital filters. Utilizing a small-volume cuvette enhances heating efficiency. This study serves as a practical guide for inexperienced individuals, including students, instructors, and researchers, facilitating entry into the field and navigating the complexities of fluorescence-based thermometry.

摘要

对测量化学或生物样品中荧光团温度敏感性和温度变化的需求推动了对有效方法的探索。虽然基于红外(IR)光的热设备很受欢迎,但它们仅限于表面温度测量。基于荧光的温度测量利用强度、寿命、偏振和光谱变化,直接从样品中提供温度信息,并且可以具有高时间和空间分辨率。然而,测量荧光可能既棘手又昂贵。非常需要一种具有成本效益的方法来实现合理的精度。本研究介绍了这样一种方法,采用发光二极管(LED)进行荧光团激发,采用激光二极管(LD)进行样品加热,并用手机摄像头记录荧光变化。一种数据处理方法将视频转换为数字数据,通过数字滤波器进行处理。使用小体积比色皿可提高加热效率。本研究为包括学生、教师和研究人员在内的缺乏经验的个人提供了实用指南,有助于他们进入该领域并应对基于荧光的温度测量的复杂性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验