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 considerations and availability of medical equipment especially in resource-limited areas. A smartphone, combined with a biosensor and other related accessories, can offer high accuracy and sensitivity for medical testing. Moreover, the ubiquity of smartphone has propelled the development considerably, and accordingly research in recent years has shown promising progress in POCT. Here, we used samples (blood, urine, sweat, saliva and tears) of liquid biopsy as the standard for classification of smartphone-based POCT devices, considering that these samples contain multiple biomarkers of serious diseases. The colorimetric, fluorescent, brightfield, and electrochemical methods were utilized to examine these samples. We performed a comprehensive review of the development of smartphone-based POCT devices over the past two years (2017-2018) and assessed their relative merits and drawbacks. Based on the progress of POCT development, it illustrates that the various technological and economical requirements are urgent and tremendous. The tendency of high-quality, low-cost smartphone-based POCT devices, feature of biosensors (paper-based sensor, flexible device, microfluidic chip, et al.) currently widely used in POCT and recommendations of future works were summarized.

[1]  Jongmin Park,et al.  Integrated Biosensor for Rapid and Point-of-Care Sepsis Diagnosis. , 2018, ACS nano.

[2]  A StJohn,et al.  Existing and Emerging Technologies for Point-of-Care Testing. , 2014 .

[3]  Hassan Hajghassem,et al.  Point of care testing: The impact of nanotechnology. , 2017, Biosensors & bioelectronics.

[4]  Nitika Pant Pai,et al.  Point-of-Care Diagnostic Testing in Global Health: What Is the Point?: The main goal of such testing is to inform caregivers in ways that lead rapidly to their starting correct treatments for patients , 2015 .

[5]  Ali K. Yetisen,et al.  A smartphone algorithm with inter-phone repeatability for the analysis of colorimetric tests , 2014 .

[6]  Drew A. Hall,et al.  Smartphone-Based pH Sensor for Home Monitoring of Pulmonary Exacerbations in Cystic Fibrosis , 2017, Sensors.

[7]  G. Whitesides,et al.  Simple telemedicine for developing regions: camera phones and paper-based microfluidic devices for real-time, off-site diagnosis. , 2008, Analytical chemistry.

[8]  Inamuddin,et al.  Smartphone based bioanalytical and diagnosis applications: A review. , 2018, Biosensors & bioelectronics.

[9]  David Erickson,et al.  ironPhone: Mobile device-coupled point-of-care diagnostics for assessment of iron status by quantification of serum ferritin. , 2018, Biosensors & bioelectronics.

[10]  Q. Wei,et al.  Smartphone‐based clinical diagnostics: towards democratization of evidence‐based health care , 2018, Journal of internal medicine.

[11]  Jinhong Guo,et al.  Smartphone-Powered Electrochemical Dongle for Point-of-Care Monitoring of Blood β-Ketone. , 2017, Analytical chemistry.

[12]  R. Sack,et al.  Tear Glucose Dynamics in Diabetes Mellitus , 2006, Current eye research.

[13]  Jinhong Guo,et al.  Automatic smartphone-based microfluidic biosensor system at the point of care. , 2018, Biosensors & bioelectronics.

[14]  R J Meagher,et al.  Mobile oral heath technologies based on saliva. , 2018, Oral diseases.

[15]  John A Rogers,et al.  A fluorometric skin-interfaced microfluidic device and smartphone imaging module for in situ quantitative analysis of sweat chemistry. , 2018, Lab on a chip.

[16]  Joon Hak Oh,et al.  Recent advances in organic sensors for health self-monitoring systems , 2018 .

[17]  R. Dahiya,et al.  Stretchable wireless system for sweat pH monitoring. , 2018, Biosensors & bioelectronics.

[18]  Jungyul Park,et al.  User-friendly point-of-care detection of influenza A (H1N1) virus using light guide in three-dimensional photonic crystal , 2018, RSC advances.

[19]  Kelika A. Konda,et al.  Laboratory Evaluation of a Smartphone-Based Electronic Reader of Rapid Dual Point-of-Care Tests for Antibodies to Human Immunodeficiency Virus and Treponema pallidum Infections , 2017, Sexually transmitted diseases.

[20]  C. Jessica E. Metcalf,et al.  Assessing the global threat from Zika virus , 2016, Science.

[21]  D. P. Fromm,et al.  Methods of single-molecule fluorescence spectroscopy and microscopy , 2003 .

[22]  Xinhao Wang,et al.  White blood cell counting on smartphone paper electrochemical sensor. , 2017, Biosensors & bioelectronics.

[23]  Tian Tian,et al.  Integrated paper-based microfluidic devices for point-of-care testing , 2018 .

[24]  Navjot Kaur,et al.  Paper-based nucleic acid amplification tests for point-of-care diagnostics. , 2018, The Analyst.

[25]  Manoj Kumar Kanakasabapathy,et al.  An automated smartphone-based diagnostic assay for point-of-care semen analysis , 2017, Science Translational Medicine.

[26]  Dan Wang,et al.  An electrochemiluminescence cloth-based biosensor with smartphone-based imaging for detection of lactate in saliva. , 2017, The Analyst.

[27]  B. Yan,et al.  A fluorescent wearable platform for sweat Cl− analysis and logic smart-device fabrication based on color adjustable lanthanide MOFs , 2018 .

[28]  Yong Xia,et al.  Single wearable sensing energy device based on photoelectric biofuel cells for simultaneous analysis of perspiration and illuminance. , 2017, Nanoscale.

[29]  T. Dong,et al.  Design of a wearable device for real-time screening of urinary tract infection and kidney disease based on smartphone. , 2018, The Analyst.

[30]  Joseph Wang,et al.  Re-usable electrochemical glucose sensors integrated into a smartphone platform. , 2018, Biosensors & bioelectronics.

[31]  Sam Emaminejad,et al.  Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis , 2016, Nature.

[32]  Sam Emaminejad,et al.  Autonomous sweat extraction and analysis applied to cystic fibrosis and glucose monitoring using a fully integrated wearable platform , 2017, Proceedings of the National Academy of Sciences.

[33]  Jeong-Yeol Yoon,et al.  Recent approaches for optical smartphone sensing in resource-limited settings: a brief review , 2016 .

[34]  Ali Yener Mutlu,et al.  Smartphone Based Colorimetric Detection via Machine Learning , 2017, The Analyst.

[35]  Meg Wirth,et al.  A prospective observational pilot study to test the feasibility of a smartphone enabled uChek© urinalysis device to detect biomarkers in urine indicative of preeclampsia/eclampsia , 2018, Health and Technology.

[36]  A simple design atomic emission spectrometer combined with multivariate image analysis for the determination of sodium content in urine , 2017 .

[37]  John R Yates,et al.  The proteomes of human parotid and submandibular/sublingual gland salivas collected as the ductal secretions. , 2008, Journal of proteome research.

[38]  Danila Moscone,et al.  Electrochemical biosensors based on nanomodified screen-printed electrodes: Recent applications in clinical analysis , 2016 .

[39]  M. Meyerhoff,et al.  An Ionophore-Based Anion-Selective Optode Printed on Cellulose Paper. , 2017, Angewandte Chemie.

[40]  Hao Yu,et al.  Machine Learning Based Single-Frame Super-Resolution Processing for Lensless Blood Cell Counting , 2016, Sensors.

[41]  Leanne T. Labriola,et al.  In situ plasmonic generation in functional ionic-gold-nanogel scaffold for rapid quantitative bio-sensing. , 2018, Biosensors & bioelectronics.

[42]  Mustafa Kemal Sezgintürk,et al.  Electrochemical biosensors for hormone analyses. , 2015, Biosensors & bioelectronics.

[43]  Whoi-Yul Kim,et al.  Smartphone-Based Point-of-Care Urinalysis Under Variable Illumination , 2018, IEEE Journal of Translational Engineering in Health and Medicine.

[44]  J. Marth,et al.  Smartphone-based pathogen diagnosis in urinary sepsis patients , 2018, EBioMedicine.

[45]  M. S. Kumar,et al.  Emerging nanotechnology based strategies for diagnosis and therapeutics of urinary tract infections: A review. , 2017, Advances in colloid and interface science.

[46]  Mohammad Zarei,et al.  Infectious pathogens meet point-of-care diagnostics. , 2018, Biosensors & bioelectronics.

[47]  Su‐Ting Han,et al.  An Overview of the Development of Flexible Sensors , 2017, Advanced materials.

[48]  Yu-Chung Chang,et al.  A multichannel smartphone optical biosensor for high-throughput point-of-care diagnostics. , 2017, Biosensors & bioelectronics.

[49]  Matti Kaisti,et al.  Polyaniline-functionalized ion-sensitive floating-gate FETs for the on-chip monitoring of peroxidase-catalyzed redox reactions , 2018 .

[50]  Sara W. Bird,et al.  A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses , 2017, Scientific Reports.

[51]  Mohammad Zarei,et al.  Portable biosensing devices for point-of-care diagnostics: Recent developments and applications , 2017 .

[52]  Ho Nam Chan,et al.  Point-of-care testing: applications of 3D printing. , 2017, Lab on a chip.

[53]  Minjeong Ha,et al.  Wearable and flexible sensors for user-interactive health-monitoring devices. , 2018, Journal of materials chemistry. B.

[54]  Manoj Kumar Kanakasabapathy,et al.  Rapid, label-free CD4 testing using a smartphone compatible device. , 2017, Lab on a chip.

[55]  Yingjie Yu,et al.  Quantitative real-time detection of carcinoembryonic antigen (CEA) from pancreatic cyst fluid using 3-D surface molecular imprinting. , 2016, The Analyst.

[56]  Wooseok Choi,et al.  Mobile diagnostics: next-generation technologies for in vitro diagnostics. , 2018, The Analyst.

[57]  Yuexiang Lu,et al.  A smartphone readable colorimetric sensing platform for rapid multiple protein detection. , 2017, The Analyst.

[58]  Jinzhao Song,et al.  Smartphone-Based Mobile Detection Platform for Molecular Diagnostics and Spatiotemporal Disease Mapping. , 2018, Analytical chemistry.

[59]  Holger Moch,et al.  The Value of In Vitro Diagnostic Testing in Medical Practice: A Status Report , 2016, PloS one.

[60]  Zhiwen Liu,et al.  A smartphone-based chloridometer for point-of-care diagnostics of cystic fibrosis. , 2017, Biosensors & bioelectronics.

[61]  Qi Zhang,et al.  Design of a molecular imprinting biosensor with multi-scale roughness for detection across a broad spectrum of biomolecules. , 2016, The Analyst.

[62]  S. Crowe,et al.  Point-of-Care Testing , 2011, Current HIV/AIDS reports.

[63]  John G. Bruno,et al.  Aptamer-based point-of-care diagnostic platforms , 2017 .

[64]  Rocío Cánovas,et al.  A novel wireless paper-based potentiometric platform for monitoring glucose in blood. , 2017, Lab on a chip.

[65]  Yusheng Fu,et al.  Blood Cholesterol Monitoring With Smartphone as Miniaturized Electrochemical Analyzer for Cardiovascular Disease Prevention , 2018, IEEE Transactions on Biomedical Circuits and Systems.

[66]  Molly M Stevens,et al.  A Serological Point-of-Care Test for the Detection of IgG Antibodies against Ebola Virus in Human Survivors. , 2018, ACS nano.

[67]  Steve Feng,et al.  Rapid imaging, detection and quantification of Giardia lamblia cysts using mobile-phone based fluorescent microscopy and machine learning. , 2015, Lab on a chip.

[68]  David Erickson,et al.  NutriPhone: a mobile platform for low-cost point-of-care quantification of vitamin B12 concentrations , 2016, Scientific Reports.

[69]  Hongying Zhu,et al.  Optical imaging techniques for point-of-care diagnostics. , 2013, Lab on a chip.

[70]  Sungho Ko,et al.  A smartphone-based optical platform for colorimetric analysis of microfluidic device , 2017 .

[71]  Jinghua Yu,et al.  Flexible Electronics Based on Micro/Nanostructured Paper , 2018, Advanced materials.

[72]  Xiaofei Zhu,et al.  Nonenzymatic Wearable Sensor for Electrochemical Analysis of Perspiration Glucose. , 2018, ACS sensors.

[73]  Aldo Roda,et al.  Smartphone-based enzymatic biosensor for oral fluid L-lactate detection in one minute using confined multilayer paper reflectometry. , 2017, Biosensors & bioelectronics.

[74]  Portable Electrochemical Sensing System Attached to Smartphones and Its Incorporation with Paper-based Electrochemical Glucose Sensor , 2017 .

[75]  Binh Vu,et al.  A low-cost smartphone-based platform for highly sensitive point-of-care testing with persistent luminescent phosphors. , 2017, Lab on a chip.

[76]  Uddin M Jalal,et al.  Paper-Plastic Hybrid Microfluidic Device for Smartphone-Based Colorimetric Analysis of Urine. , 2017, Analytical chemistry.

[77]  S. S. Olmsted,et al.  Requirements for high impact diagnostics in the developing world , 2006, Nature.

[78]  R. Richards-Kortum,et al.  Point-of-care diagnostics to improve maternal and neonatal health in low-resource settings. , 2017, Lab on a chip.

[79]  V. Shetty,et al.  Salivary biosensors for screening trauma-related psychopathology. , 2010, Oral and maxillofacial surgery clinics of North America.

[80]  Biswendu Chatterjee,et al.  Smartphone camera-based analysis of ELISA using artificial neural network , 2018, IET Comput. Vis..

[81]  Jing Li,et al.  Sensitive colorimetric assay for uric acid and glucose detection based on multilayer-modified paper with smartphone as signal readout , 2018, Analytical and Bioanalytical Chemistry.

[82]  Zohaib Khurshid,et al.  Advancing Point-of-Care (PoC) Testing Using Human Saliva as Liquid Biopsy , 2017, Diagnostics.

[83]  W. Bishai,et al.  Diagnostic point-of-care tests in resource-limited settings. , 2014, The Lancet. Infectious diseases.

[84]  Aydogan Ozcan,et al.  Mobile phones democratize and cultivate next-generation imaging, diagnostics and measurement tools. , 2014, Lab on a chip.

[85]  R. Bashir,et al.  Hands-free smartphone-based diagnostics for simultaneous detection of Zika, Chikungunya, and Dengue at point-of-care , 2017, Biomedical microdevices.

[86]  Ning Xu,et al.  Smartphone-based differential pulse amperometry system for real-time monitoring of levodopa with carbon nanotubes and gold nanoparticles modified screen-printing electrodes. , 2019, Biosensors & bioelectronics.

[87]  L. Drey,et al.  Counting unstained, confluent cells by modified bright-field microscopy. , 2013, BioTechniques.

[88]  Jin-Woo Choi,et al.  Point-of-care testing (POCT) diagnostic systems using microfluidic lab-on-a-chip technologies , 2015 .

[89]  J. Heo,et al.  Achromatic-chromatic colorimetric sensors for on-off type detection of analytes. , 2014, The Analyst.

[90]  Aydogan Ozcan,et al.  Albumin testing in urine using a smart-phone. , 2013, Lab on a chip.

[91]  Valentín Huerva,et al.  Noninvasive Continuous Monitoring of Tear Glucose Using Glucose-Sensing Contact Lenses , 2016, Optometry and vision science : official publication of the American Academy of Optometry.

[92]  Lei Liu,et al.  Smartphone-based integrated voltammetry system for simultaneous detection of ascorbic acid, dopamine, and uric acid with graphene and gold nanoparticles modified screen-printed electrodes. , 2018, Biosensors & bioelectronics.

[93]  S. Tasoglu,et al.  3D-printed smartphone-based point of care tool for fluorescence- and magnetophoresis-based cytometry. , 2017, Lab on a chip.

[94]  Euiwon Bae,et al.  Colorimetric analysis of saliva–alcohol test strips by smartphone-based instruments using machine-learning algorithms , 2017 .

[95]  Eka Noviana,et al.  Paper-Based Microfluidic Devices: Emerging Themes and Applications. , 2017, Analytical chemistry.

[96]  B. Liu,et al.  Flexible Energy‐Storage Devices: Design Consideration and Recent Progress , 2014, Advanced materials.

[97]  Peter B. Luppa,et al.  Point-of-care testing (POCT): Current techniques and future perspectives , 2011, TrAC Trends in Analytical Chemistry.

[98]  Sandeep Kumar Jha,et al.  Smartphone based optical biosensor for the detection of urea in saliva , 2018, Sensors and Actuators B: Chemical.

[99]  Sandeep Kumar Jha,et al.  Smartphone based non-invasive salivary glucose biosensor. , 2017, Analytica chimica acta.

[100]  Xiong Zhang,et al.  Recent Progress in Optical Biosensors Based on Smartphone Platforms , 2017, Sensors.