Biosensors · 2022 · 13 citations · 31 references
EngineeringBioengineeringBiomedical EngineeringAnalytical ChemistryBiosensorsSensorsBiosensor CalibrationCalcium SignalingFluorescence SpectroscopyOptical BiosensingOptical BiosensorsSensor-based AnalysisCalcium ImagingFluorescent BiosensingFluorescent Calcium IndicatorsFluorescent ProbesPortable Fluorescence DetectionRatiometric Fluorescence ImagingSerum Calcium MeasurementSmartphone-integrated Biosensors
Hypocalcemia is a disease that adversely affects the production and reproduction of dairy cows. A portable device for rapid bovine blood calcium sensing has been growing in demand. Herein, we report a smartphone-based ratiometric fluorescence probe (SRFP) platform as a new way to detect and quantify calcium ions (Ca2+) in blood serum. Specifically, we employed a cost-effective and portable smartphone-based platform coupled with customized software that evaluates the response of Ca2+ ions to ratiometric fluorescence probe in bovine serum. The platform consists of a three-dimensional (3D) printed housing and low-cost optical components that excite fluorescent probe and selectively transmit fluorescence emissions to smartphones. The customized software is equipped with a calibration model to quantify the acquired fluorescence images and quantify the concentration of Ca2+ ions. The ratio of the green channel to the red channel bears a highly reproducible relationship with Ca2+ ions concentration from 10 μM to 40 μM in bovine serum. Our detection system has a limit of detection (LOD) of 1.8 μM in bovine serum samples and the recoveries of real samples ranged from 92.8% to 110.1%, with relative standard deviation (RSD) ranging from 1.72% to 4.89%. The low-cost SRFP platform has the potential to enable campesino to rapidly detect Ca2+ ions content in bovine serum on-demand in any environmental setting.
31
Fluorescent Gold Nanoclusters: Recent Advances in Sensing and Imaging
Liyi Chen, Chia‐Wei Wang, Zhiqin Yuan et al. · Analytical Chemistry · 2014 · 837 citations
Daizong Ji, Zixiang Liu, Lei Liu et al. · Biosensors and Bioelectronics · 2018 · 193 citations