Shahid Shahina, Geetha Mithra, Sadasivuni Kishor Kumar, Remani Divya, Muthusamy Suresh, Muthalif Asan G A, Al-Maadeed Somaya
Center for Advanced Materials, Qatar University, P.O. Box 2713, Doha, Qatar.
Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, Tamil Nadu India.
3 Biotech. 2022 Dec;12(12):334. doi: 10.1007/s13205-022-03396-9. Epub 2022 Oct 31.
The concentration of carbon dioxide (CO) in unhealthy people differs greatly from healthy people. High-precision CO detection with a quick response time is essential for many biomedical applications. A major focus of this research is on the detection of CO, one of the most important health biomarkers. We investigated a low-cost, flexible, and reliable strategy by using dyes for colorimetric CO sensing in this study. The impacts of temperature, pH, reaction time, reusability, concentration, and dye selectivity were studied thoroughly. This study described real-time CO analysis. Using this multi-dye method, we got an average detection limit of 1.98 ppm for CO, in the range of 50-120 ppm. A portable colorimetric instrument with a smartphone-assisted unit was constructed to determine the relative red/green/blue values for real-time and practical applications within 15 s of interaction and the readings are very similar to those of an optical fiber probe. Environmental and biological chemistry applications are likely to benefit greatly from this unique approach.
不健康人群体内二氧化碳（CO）的浓度与健康人群有很大差异。对于许多生物医学应用而言，具备快速响应时间的高精度CO检测至关重要。本研究的一个主要重点是检测CO，它是最重要的健康生物标志物之一。在本研究中，我们通过使用染料进行比色CO传感，研究了一种低成本、灵活且可靠的策略。深入研究了温度、pH值、反应时间、可重复使用性、浓度和染料选择性的影响。本研究描述了实时CO分析。使用这种多染料方法，我们在50 - 120 ppm范围内获得了CO的平均检测限为1.98 ppm。构建了一个带有智能手机辅助单元的便携式比色仪器，以在15秒的相互作用内确定实时和实际应用中的相对红/绿/蓝值，并且读数与光纤探头的读数非常相似。环境和生物化学应用可能会从这种独特方法中受益匪浅。
