纳米片
计算机科学
可靠性(半导体)
纳米技术
微流控
灵敏度(控制系统)
生物传感器
显色的
生化工程
线性范围
检出限
材料科学
极限(数学)
航程(航空)
过氧化氢
鉴定(生物学)
工艺工程
作者
Kermue Vasco Jarnda,Heng Dai,Huiting Hu,Yuan Tian,Richmond Anaman,Pian Wu,Ping Ding
出处
期刊:ACS omega
[American Chemical Society]
日期:2026-02-25
卷期号:11 (9): 14533-14545
标识
DOI:10.1021/acsomega.5c10036
摘要
Recent advancements in microfluidic paper-based analytical devices (μPADs) have demonstrated their significant potential for point-of-care testing (POCT), particularly in low-resource settings. These devices are especially promising for monitoring glucose levels in patients with diabetes, offering a cost-effective and portable solution. However, one of the primary challenges hindering the widespread adoption of smartphone-coupled μPADs has been their sensitivity to varying ambient lighting conditions, which can interfere with accurate colorimetric detection. To address this issue, researchers have introduced a novel approach involving a metal–organic framework (MOF), specifically Co-TCPP (Fe) [cobalt Fe(III) meso-tetra(4-carboxyphenyl) porphyrin chloride], synthesized using a straightforward method. Co-TCPP (Fe) exhibits remarkable peroxidase-like activity when exposed to hydrogen peroxide (H2O2), enabling it to interact effectively with classic chromogenic substrates and thus improving the colorimetric reaction crucial for accurate glucose detection. In this study, the team developed paper-based μPADs that incorporate the Co-TCPP (Fe) MOF, allowing it to accurately detect glucose levels across a wide concentration range. The limit of detection (LOD) achieved was 5.3 μM, with a linear detection range from 5 to 750 μM. This innovation addresses previous concerns regarding the impact of environmental lighting fluctuations and varying shooting angles, ensuring the reliability of glucose measurements under uncontrolled conditions. By integrating this algorithm into a smartphone-coupled μPAD system, the researchers have created a portable, high-resolution platform that delivers dependable results, even in challenging and fluctuating environments. This breakthrough marks a significant step toward enhancing the practicality and accessibility of glucose monitoring in resource-constrained settings, providing a valuable tool for both clinical and everyday use.
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