4.7 Article

Colorimetric detection of glucose with smartphone-coupled μPADs: harnessing machine learning algorithms in variable lighting environments

Related references

Note: Only part of the references are listed.
Article Chemistry, Analytical

Nanomaterials integrated with microfluidic paper-based analytical devices for enzyme-free glucose quantification

Kawin Khachornsakkul et al.

Summary: In this study, nanomaterials were integrated into microfluidic paper-based analytical devices (mu PADs) for enzyme-free glucose quantification and colorimetric readout. Gold and silver nanoparticles were used as a peroxidase-like nanozyme and colorimetric probe to detect glucose. The device achieved clinically relevant glucose monitoring with a linear range of 0.50-10.0 mmol L-1 and a detection limit of 340.0 mu mol L-1. The method is rapid (20 min), selective, and potentially suitable for point-of-care diagnostics in resource-limited settings.

TALANTA (2023)

Article Chemistry, Analytical

Microfluidic paper-based analytical device by using Pt nanoparticles as highly active peroxidase mimic for simultaneous detection of glucose and uric acid with use of a smartphone

Jie Zheng et al.

Summary: A simple microfluidic paper-based analytical device using platinum nanoparticles as peroxidase mimic was developed for simultaneous determination of glucose and uric acid. The multi-layered structure improves color uniformity and intensity, leading to enhanced sensitivity in detection. The device showed satisfactory results in real serum samples and integrated with smartphone for easy and intelligent detection, making it suitable for simple and portable on-site analysis.

TALANTA (2022)

Review Optics

Blood glucose sensors and recent advances: A review

Zhiqing Peng et al.

Summary: Blood glucose concentration is an important index for diagnosing diabetes, and traditional glucose meters have limitations. Wearable devices have become a research focus for continuous monitoring. This review discusses the mechanisms of different glucose sensors and summarizes wearable products on the market.

JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES (2022)

Article Chemistry, Analytical

Colorimetric detection of H2O2 with Fe3O4@Chi nanozyme modified μPADs using artificial intelligence

Mustafa Sen et al.

Summary: A peroxidase mimicking nanozyme Fe3O4@Chitosan was synthesized for high-sensitive enzyme-free colorimetric detection of H2O2. The system achieved user-friendly and robust performance through machine learning-based color analysis.

MICROCHIMICA ACTA (2022)

Article Chemistry, Analytical

Cascaded enzymatic reaction-mediated multicolor pixelated quantitative system integrated microfluidic wearable analytical device (McPiQ-μWAD) for non-invasive and sensitive glucose diagnostics

Shan He et al.

Summary: Non-invasive body fluid analysis has made significant progress in health monitoring and disease diagnostics. In this study, a wearable microfluidic device with a cascaded enzymatic reaction-mediated multicolor pixelated quantitative system was developed for non-invasive and sensitive detection of sweat glucose. This is the first application of non-invasive portable detection using multicolor pixelated quantification, and also the first smartphone-assistant multicolor pixelated analysis for Localized Surface Plasmon Resonance (LSPR) of gold nanorods (Au NRs).

SENSORS AND ACTUATORS B-CHEMICAL (2022)

Article Chemistry, Analytical

Smartphone embedded deep learning approach for highly accurate and automated colorimetric lactate analysis in sweat

Elif Yuzer et al.

Summary: A microfluidic paper-based analytical device (mu PAD) combined with a deep learning-based smartphone app was used for quantitative and selective determination of lactate concentration in sweat. The system demonstrated high classification accuracy and fast processing time. It also showed excellent selectivity towards lactate and has the potential for practical use in various fields.

SENSORS AND ACTUATORS B-CHEMICAL (2022)

Article Chemistry, Analytical

A regression-based machine learning approach for pH and glucose detection with redox-sensitive colorimetric paper sensors

Taeha Lee et al.

Summary: Colorimetric paper sensors are widely used due to their convenience and intuitive nature, but they often lack accuracy in practical use. In this study, a machine learning-based paper sensor platform is developed to accurately determine color changes. By training and testing regression models, accurate estimations of pH levels and glucose concentrations can be achieved.

ANALYTICAL METHODS (2022)

Article Chemistry, Analytical

A field-deployable water quality monitoring with machine learning-based smartphone colorimetry

Vakkas Dogan et al.

Summary: This article presents a smartphone-based colorimetric pollutant quantification method in a machine learning framework, which captures the color variation on the strip indicators using smartphone cameras and extracts features to train classifiers. The proposed approach enables water quality monitoring and provides an alternative solution for resource-limited settings.

ANALYTICAL METHODS (2022)

Article Chemistry, Analytical

Non-enzymatic colorimetric glucose detection based on Au/Ag nanoparticles using smartphone and machine learning

Volkan Kilic et al.

Summary: In this study, a portable platform incorporating gold and silver nanoparticles and a smartphone application based on machine learning was proposed for non-enzymatic glucose quantification. The color change captured by a smartphone camera was used to create a dataset for machine-learning classifiers, enabling rapid and cost-efficient glucose quantification.

ANALYTICAL SCIENCES (2022)

Article Biochemical Research Methods

Instrument-free single-step direct estimation of the plasma glucose level from one drop of blood using smartphone-interfaced analytics on a paper strip

Sujay K. Biswas et al.

Summary: The study demonstrated a cost-effective method for direct estimation of plasma glucose from whole blood, without the need for laboratory equipment. The smartphone interface with paper-strip sensor allows for accurate and reliable testing in resource-limited settings.

LAB ON A CHIP (2022)

Article Chemistry, Analytical

Machine learning-based colorimetric determination of glucose in artificial saliva with different reagents using a smartphone coupled μPAD

Oyku Berfin Mercan et al.

Summary: A portable platform was developed integrating mu PADs with a smartphone application for quantifying glucose concentration in artificial saliva. Three different detection mixtures were used, with the mixture containing TMB showing the highest classification accuracy and inter-phone repeatability under versatile illumination.

SENSORS AND ACTUATORS B-CHEMICAL (2021)

Article Chemistry, Analytical

A Portable Smartphone-based Platform with an Offline Image-processing Tool for the Rapid Paper-based Colorimetric Detection of Glucose in Artificial Saliva

Tansu Golcez et al.

Summary: The study developed a microfluidic paper-based analytical device integrated with a smartphone app for rapid colorimetric detection of glucose. The experimental results show that the quantitative analysis of glucose could be completed in less than one minute with the proposed smartphone platform.

ANALYTICAL SCIENCES (2021)

Review Chemistry, Inorganic & Nuclear

Gold nanorods etching as a powerful signaling process for plasmonic multicolorimetric chemo-/biosensors: Strategies and applications

Kimia Kermanshahian et al.

Summary: Localized surface plasmon resonance (LSPR) is an optical phenomenon generated by conductive nanoparticles, applied as a label-free sensing technique with superior sensitivity based on the nanoparticle size, shape, and structure; Gold nanorods (AuNRs) etched into small nanoparticles serve as a powerful tool for fabricating various chemo-/bio-sensors, exhibiting unique optical properties resulting from LSPR excitation across visible to near-infrared range.

COORDINATION CHEMISTRY REVIEWS (2021)

Article Chemistry, Analytical

Non-enzymatic colorimetric detection of hydrogen peroxide using a μPAD coupled with a machine learning-based smartphone app

Vakkas Dogan et al.

Summary: In this study, a iodide-mediated reaction system was used to determine H2O2 colorimetrically on a microfluidic paper-based analytical device. The system incorporated a machine learning-based smartphone app, providing high accuracy and robustness against various illumination conditions.

ANALYST (2021)

Review Chemistry, Analytical

Smartphone-based colorimetric detection systems for glucose monitoring in the diagnosis and management of diabetes

Ozlem Kap et al.

Summary: This review discusses recent advances in smartphone-based colorimetric glucose detection systems, emphasizing the importance of glucose monitoring and the various methods of application.

ANALYST (2021)

Article Computer Science, Artificial Intelligence

Intelligent image-based colourimetric tests using machine learning framework for lateral flow assays

Marzia Hoque Tania et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Article Computer Science, Artificial Intelligence

Feature extraction method based on point pair hierarchical clustering

Jiang Qian et al.

CONNECTION SCIENCE (2020)

Article Biochemical Research Methods

Microfluidic Paper-Based Analytical Devices for Colorimetric Detection of Lactoferrin

Hiroko Kudo et al.

SLAS TECHNOLOGY (2020)

Article Biochemical Research Methods

Development and clinical trial of a smartphone-based colorimetric detection system for self-monitoring of blood glucose

Hung-Chih Wang et al.

BIOMEDICAL OPTICS EXPRESS (2020)

Article Materials Science, Multidisciplinary

Smartphone-based image analysis coupled to paper-based colorimetric devices

Dami Kim et al.

CURRENT APPLIED PHYSICS (2020)

Article Chemistry, Analytical

Laser-inscribed contact lens sensors for the detection of analytes in the tear fluid

Rosalia Moreddu et al.

SENSORS AND ACTUATORS B-CHEMICAL (2020)

Article Materials Science, Multidisciplinary

Highly sensitive smartphone-integrated colorimetric glucose sensor based on MnFe2O4 - graphitic carbon nitride hybrid nanostructure

Yen-Linh Thi Ngo et al.

MATERIALS RESEARCH BULLETIN (2020)

Article Nanoscience & Nanotechnology

A sample volume independent paper microfluidic device for quantifying glucose in real human plasma

Mehrdad Lotfi Choobbari et al.

MICROFLUIDICS AND NANOFLUIDICS (2020)

Article Optics

Color conversion matrices in digital cameras: a tutorial

D. Andrew Rowlands

OPTICAL ENGINEERING (2020)

Article Chemistry, Analytical

Improved analytical performance of smartphone-based colorimetric analysis by using a power-free imaging box

Gang Chen et al.

SENSORS AND ACTUATORS B-CHEMICAL (2019)

Article Chemistry, Analytical

Point-of-care colorimetric analysis through smartphone video

Benjamin Coleman et al.

SENSORS AND ACTUATORS B-CHEMICAL (2019)

Article Biophysics

Real time monitoring of glucose in whole blood by smartphone

Miguel M. Erenas et al.

BIOSENSORS & BIOELECTRONICS (2019)

Article Biochemical Research Methods

Accessory-free quantitative smartphone imaging of colorimetric paper-based assays

Tian Kong et al.

LAB ON A CHIP (2019)

Article Endocrinology & Metabolism

Neonatal Hypoglycemia Following Diet-Controlled and Insulin-Treated Gestational Diabetes Mellitus

Daphne N. Voormolen et al.

DIABETES CARE (2018)

Article Chemistry, Analytical

Quantifying colorimetric tests using a smartphone app based on machine learning classifiers

Mehmet E. Solmaz et al.

SENSORS AND ACTUATORS B-CHEMICAL (2018)

Article Multidisciplinary Sciences

High-throughput rapid-prototyping of low-cost paper-based microfluidics

Fariba Ghaderinezhad et al.

SCIENTIFIC REPORTS (2017)

Article Chemistry, Analytical

Smartphone-based colorimetric detection via machine learning

Ali Y. Mutlu et al.

ANALYST (2017)

Review Chemistry, Multidisciplinary

Turning the Page: Advancing Paper-Based Microfluidics for Broad Diagnostic Application

Max M. Gong et al.

CHEMICAL REVIEWS (2017)

Article Computer Science, Information Systems

Smartphone-based diagnostic for preeclampsia: an mHealth solution for administering the Congo Red Dot (CRD) test in settings with limited resources

Stephan Michael Jonas et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2016)

Article Nanoscience & Nanotechnology

A graphene-based electrochemical device with thermoresponsive microneedles for diabetes monitoring and therapy

Hyunjae Lee et al.

NATURE NANOTECHNOLOGY (2016)

Proceedings Paper Computer Science, Artificial Intelligence

A Software Platform for Manipulating the Camera Imaging Pipeline

Hakki Can Karaimer et al.

COMPUTER VISION - ECCV 2016, PT I (2016)

Article Chemistry, Analytical

Use of multiple colorimetric indicators for paper-based microfluidic devices

Wijitar Dungchai et al.

ANALYTICA CHIMICA ACTA (2010)