Microfluidic paper-based analytical devices: from design to applications
Microfluidic paper-based analytical devices (μPADs) have garnered significant interest as a
promising analytical platform in the past decade. Compared with traditional microfluidics …
promising analytical platform in the past decade. Compared with traditional microfluidics …
Point-of-care testing based on smartphone: The current state-of-the-art (2017–2018)
Smartphone-based point-of-care testing (POCT) is rapidly emerging as a potential
alternative to the traditional laboratory-based diagnostic testing owing to economic …
alternative to the traditional laboratory-based diagnostic testing owing to economic …
Smartphone embedded deep learning approach for highly accurate and automated colorimetric lactate analysis in sweat
Here, a microfluidic paper-based analytical device (μPAD) was first combined with a deep
learning-based smartphone app called “DeepLactate” and then applied for quantitative and …
learning-based smartphone app called “DeepLactate” and then applied for quantitative and …
[HTML][HTML] Nanozyme-based colorimetric biosensor with a systemic quantification algorithm for noninvasive glucose monitoring
Diabetes mellitus accompanies an abnormally high glucose level in the bloodstream. Early
diagnosis and proper glycemic management of blood glucose are essential to prevent …
diagnosis and proper glycemic management of blood glucose are essential to prevent …
Machine learning-based colorimetric determination of glucose in artificial saliva with different reagents using a smartphone coupled μPAD
Abstract Potassium iodide (KI) and 3, 3′, 5, 5′-tetramethylbenzidine (TMB) are frequently
used as chromogenic agents in μ PADs for glucose determination. Chitosan (Chi) has …
used as chromogenic agents in μ PADs for glucose determination. Chitosan (Chi) has …
Big data and machine learning for materials science
Herein, we review aspects of leading-edge research and innovation in materials science
that exploit big data and machine learning (ML), two computer science concepts that …
that exploit big data and machine learning (ML), two computer science concepts that …
Smartphone-based colorimetric detection systems for glucose monitoring in the diagnosis and management of diabetes
Diabetes is a group of metabolic conditions resulting in high blood sugar levels over
prolonged periods that affects hundreds of millions of patients worldwide. Measuring …
prolonged periods that affects hundreds of millions of patients worldwide. Measuring …
Machine learning enhances the performance of bioreceptor-free biosensors
Since their inception, biosensors have frequently employed simple regression models to
calculate analyte composition based on the biosensor's signal magnitude. Traditionally …
calculate analyte composition based on the biosensor's signal magnitude. Traditionally …
Colorimetric biosensor based on smartphone: State-of-art
Z Geng, Y Miao, G Zhang, X Liang - Sensors and Actuators A: Physical, 2023 - Elsevier
Smartphone-based colorimetric sensors can be operated out of the laboratory, meeting
urgent needs such as point-of-care testing and on-site diagnostics. The quality of the …
urgent needs such as point-of-care testing and on-site diagnostics. The quality of the …
Quantifying colorimetric tests using a smartphone app based on machine learning classifiers
A smartphone application based on machine learning classifier algorithms was developed
for quantifying peroxide content on colorimetric test strips. The strip images were taken from …
for quantifying peroxide content on colorimetric test strips. The strip images were taken from …