Recent Progress in Optical Biosensors Based on Smartphone Platforms

Zhang, Geng; Zhang, Xiong; Fan, Zhiyuan; Lv, Xiaoqing; Su, Yue; Chen, Hongda

doi:10.3390/s17112449

Cited by 125 publications

(78 citation statements)

References 48 publications

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“…The results are obtained through a smartphone application, which reads the colorimetric results from the strip and provides a positive or negative result based on a cutoff threshold. This biosensing approach has been the subject of several papers, where tools for registration, transfer, and analysis of assays data were discussed [93][94][95][96]. A summary of the patient details and a description of the test taken are given in Figure 9B.…”

Section: Microfluidic-based Ehealthmentioning

confidence: 99%

Microfluidic Point-of-Care Devices: New Trends and Future Prospects for eHealth Diagnostics

Mejía‐Salazar

Cruz

Vásques

et al. 2020

Sensors

138

111

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Point-of-care (PoC) diagnostics is promising for early detection of a number of diseases, including cancer, diabetes, and cardiovascular diseases, in addition to serving for monitoring health conditions. To be efficient and cost-effective, portable PoC devices are made with microfluidic technologies, with which laboratory analysis can be made with small-volume samples. Recent years have witnessed considerable progress in this area with “epidermal electronics”, including miniaturized wearable diagnosis devices. These wearable devices allow for continuous real-time transmission of biological data to the Internet for further processing and transformation into clinical knowledge. Other approaches include bluetooth and WiFi technology for data transmission from portable (non-wearable) diagnosis devices to cellphones or computers, and then to the Internet for communication with centralized healthcare structures. There are, however, considerable challenges to be faced before PoC devices become routine in the clinical practice. For instance, the implementation of this technology requires integration of detection components with other fluid regulatory elements at the microscale, where fluid-flow properties become increasingly controlled by viscous forces rather than inertial forces. Another challenge is to develop new materials for environmentally friendly, cheap, and portable microfluidic devices. In this review paper, we first revisit the progress made in the last few years and discuss trends and strategies for the fabrication of microfluidic devices. Then, we discuss the challenges in lab-on-a-chip biosensing devices, including colorimetric sensors coupled to smartphones, plasmonic sensors, and electronic tongues. The latter ones use statistical and big data analysis for proper classification. The increasing use of big data and artificial intelligence methods is then commented upon in the context of wearable and handled biosensing platforms for the Internet of things and futuristic healthcare systems.

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Section: Microfluidic-based Ehealthmentioning

confidence: 99%

Microfluidic Point-of-Care Devices: New Trends and Future Prospects for eHealth Diagnostics

Mejía‐Salazar

Cruz

Vásques

et al. 2020

Sensors

138

111

View full text Add to dashboard Cite

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“…For example, by using the embedded cameras and biosensors, a mobile phone can collect personal information, for example, X-ray and CT images, cough sound, and heart rate, which may be encrypted and compressed before sending to the cloud for training [31], [56]. Review on recent advances in biosensors for mobile health platforms can be found in [122]. The massive number of mobile devices connected to the Internet may relax the limited data sent from an individual phone.…”

Section: A Phone-based Solution For Detection and Surveillancementioning

confidence: 99%

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

Pham

Nguyen

Huynh‐The

et al. 2020

Preprint

104

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The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 215 countries and areas in the world, and has significantly affected every aspect of our daily lives. At the time of writing this article, the numbers of infected cases and deaths still increase significantly and have no sign of a well-controlled situation, e.g., as of 14 April 2020, a cumulative total of 1,853,265 (118,854) infected (dead) COVID-19 cases were reported in the world. Motivated by recent advances and applications of artificial intelligence (AI) and big data in various areas, this paper aims at emphasizing their importance in responding to the COVID-19 outbreak and preventing the severe effects of the COVID-19 pandemic. We firstly present an overview of AI and big data, then identify their applications in fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the COVID-19 situation. It is expected that this paper provides researchers and communities with new insights into the ways AI and big data improve the COVID-19 situation, and drives further studies in stopping the COVID-19 outbreak.

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“…[ 248–250 ] The latest models of smartphones incorporate powerful computing capabilities, large data storage, network connectivity, and a large variety of sensors/detectors such as CMOS cameras, touch screens, sound detectors, gyroscopes, etc. Nowadays, the demonstrated smartphone‐based diagnostics include optical microscopy (e.g., brightfield, fluorescence, scattering), [ 251 ] spectroscopy, [ 252 ] colorimetric detection, [ 253 ] and electrochemical detections. [ 254 ] Well‐established tests originally performed with bulky instruments including label‐free immunoassays, cellular imaging, lateral flow assays have been accomplished using such a miniaturized smartphone‐incorporated system.…”

Section: The Roadmap For Future Silicon‐based Optical Biosensorsmentioning

confidence: 99%

Silicon‐Based Integrated Label‐Free Optofluidic Biosensors: Latest Advances and Roadmap

Wang

Sánchez

Yin

et al. 2020

Adv Materials Technologies

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By virtue of the well‐developed micro‐ and nanofabrication technologies and rapidly progressing surface functionalization strategies, silicon‐based devices have been widely recognized as a highly promising platform for the next‐generation lab‐on‐a‐chip bioanalytical systems with a great potential for point‐of‐care medical diagnostics. Herein, an overview of the latest advances in silicon‐based integrated optofluidic label‐free biosensing technologies relying on the efficient interactions between the evanescent light field at the functionalized surface and specifically bound analytes is presented. State‐of‐the‐art technologies demonstrating label‐free evanescent wave‐based biomarker detection mainly encompass three device configurations, including on‐chip waveguide‐based interferometers, microring resonators, and photonic‐crystal‐based cavities. Moreover, up‐to‐date strategies for elevating the sensitivities and also simplifying the sensing processes are discussed. Emerging laboratory prototypes with advanced integration and packaging schemes incorporating automatic microfluidic components or on‐chip optoelectronic devices lead to one significant step forward in real applications of decentralized diagnostics. Besides, particular attention is paid to currently commercialized label‐free optical bioanalytical models on the market. Finally, the prospects are elaborated with several research routes toward chip‐scale, low‐cost, highly sensitive, multi‐functional, and user‐friendly bioanalytical systems benefiting to global healthcare.

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Recent Progress in Optical Biosensors Based on Smartphone Platforms

Cited by 125 publications

References 48 publications

Microfluidic Point-of-Care Devices: New Trends and Future Prospects for eHealth Diagnostics

Microfluidic Point-of-Care Devices: New Trends and Future Prospects for eHealth Diagnostics

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

Silicon‐Based Integrated Label‐Free Optofluidic Biosensors: Latest Advances and Roadmap

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