A high-throughput fully automatic biosensing platform for efficient COVID-19 detection

Rong, Guoguang; Zheng, Yuqiao; Li, Xiangqing; Guo, Mengzhun; Su, Yi; Bian, Sumin; Dang, Bobo; Chen, Yin; Zhang, Yanjun; Shen, Liming; Jin, Hui; Yan, Renhong; Wen, Liaoyong; Zhu, Peixi

doi:10.1016/j.bios.2022.114861

Cited by 18 publications

(22 citation statements)

References 52 publications

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“…62,63 Other relies on more complex construction (e.g. electrochemical anodization, thermal oxidation and metal coating; 64,65 silver nanotriangle array fabrication 66 ) in comparison to our simple fabrication. In our method, a 1% PEI solution in water is added to the plastic for 45 minutes, washed with water and then the silver colloid was added to form the lm.…”

Section: Discussionmentioning

confidence: 99%

Detection of SARS-CoV-2 in saliva by a low-cost LSPR-based sensor

Bido¹,

Ember²,

Trudel³

et al. 2023

Anal. Methods

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Section: Discussionmentioning

confidence: 99%

Detection of SARS-CoV-2 in saliva by a low-cost LSPR-based sensor

Bido¹,

Ember²,

Trudel³

et al. 2023

Anal. Methods

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“…CT scans are often utilized in conjunction with other diagnostic outcomes to assist in the accurate diagnosis of COVID-19 . The methods such as NAAT, PCR, RT-PCR, and CRISPR-based tests are associated with complex sample preparation procedures, possess limited throughput, require clean environment as well as trained personnel, and exhibit limited cost-effectiveness. , Rong et al developed an automated antigen-based biosensing platform with localized surface plasmon resonance detection for COVID-19 to offer enhanced throughput, increased sensitivity, and rapid testing capabilities for SARS-CoV-2 (Figure -I) . In this configuration, two robotic arms were utilized for sample loading, incubation, sensor surface rising, and optical measurement using a portable spectrometer.…”

Section: Different Types Of Sensing Systems With Elements Of Automationmentioning

confidence: 99%

“…Reprinted from Biosensors and Bioelectronics , 220, Rong, G.; Zheng, Y.; Li, X.; Guo, M.; Su, Y.; Bian, S.; Dang, B.; Chen, Y.; Zhang, Y.; Shen, L.; Jin, H.; Yan, R.; Wen, L.; Zhu, P.; Sawan, M. A High-Throughput Fully Automatic Biosensing Platform for Efficient COVID-19 Detection. 114861, Copyright (2023) with permission from Elsevier . (II) Photograph of robotic amperometric enzyme 24-well microplate biosensing platform.…”

Section: Different Types Of Sensing Systems With Elements Of Automationmentioning

confidence: 99%

Automation and Computerization of (Bio)sensing Systems

Raju,

Elpa,

Urban

2024

ACS Sens.

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Sensing systems necessitate automation to reduce human effort, increase reproducibility, and enable remote sensing. In this perspective, we highlight different types of sensing systems with elements of automation, which are based on flow injection and sequential injection analysis, microfluidics, robotics, and other prototypes addressing specific real-world problems. Finally, we discuss the role of computer technology in sensing systems. Automated flow injection and sequential injection techniques offer precise and efficient sample handling and dependable outcomes. They enable continuous analysis of numerous samples, boosting throughput, and saving time and resources. They enhance safety by minimizing contact with hazardous chemicals. Microfluidic systems are enhanced by automation to enable precise control of parameters and increase of analysis speed. Robotic sampling and sample preparation platforms excel in precise execution of intricate, repetitive tasks such as sample handling, dilution, and transfer. These platforms enhance efficiency by multitasking, use minimal sample volumes, and they seamlessly integrate with analytical instruments. Other sensor prototypes utilize mechanical devices and computer technology to address real-world issues, offering efficient, accurate, and economical real-time solutions for analyte identification and quantification in remote areas. Computer technology is crucial in modern sensing systems, enabling data acquisition, signal processing, real-time analysis, and data storage. Machine learning and artificial intelligence enhance predictions from the sensor data, supporting the Internet of Things with efficient data management.

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“…The optical evaluation, which was based on reflectance transduction of the RNA bioanalyte using cys-AuNPs optical sensing probes, showed a swift response time of 30 min with great specificity, decent linearity, and great reproducibility across a concentration range of 25 nM to 200 nM for SARS-CoV-2 RNA, and with a LOD 0.12 nM. Furthermore, Rong et al [80] proposed a label-free biosensor relying on a localised surface plasmon resonance and a porous silicon (PS) resonant architecture. PS was utilised to create resonant microstructure pores, and a gold thin coating was formed on top of the PS to create mode coupling between Tamm plasmon polariton (TPP) mode and micropore resonant mode.…”

Section: Optical-based Systems Relying On Nanomaterials and Polymers ...mentioning

confidence: 99%

Electrochemical and optical-based systems for SARS-COV-2 and various pathogens assessment

Ahmed,

Ansari,

Siddiqui

et al. 2023

Adv. Nat. Sci: Nanosci. Nanotechnol.

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A critical step in the process for preventing and identifying emergencies relating to health, safety, and welfare is the testing and quick diagnosis of microbial pathogens. Due to the fast spread of waterborne and food borne infections in society and the high costs associated with them, pathogen identification has emerged as one of the most difficult parts of the water and food sectors. Since the turn of the century, pathogens have demonstrated enormous epidemiological and pandemic potential. The emergence and dissemination of a novel virus with pandemic potential endanger the livelihoods and well-being of individuals worldwide. The severe acute respiratory syndrome-coronavirus-2 (SARS-COV-2) coronavirus pandemic has propagated to almost every country on Earth and has had a considerable negative influence on economies and communities. Despite improvements in identification techniques for viral diseases, all nations must now execute biosensing in a speedy, sensitive, focused, and consistent manner in order to address pressing global issues. Hence, in this review, we have critically summarised the recent advancement of electrochemical as well as optical biosensors for the monitoring of SARS-COV-2 and various pathogens. Then, we began by providing a technical overview of cutting-edge strategies utilised to combat diseases and emergencies for it, including the utilisation of point-of-care technology (POCT), artificial intelligence (AI), and the internet of medical things (IoMT). This review article explores the integration of POC, IoMT, and AI technologies in the context of personal healthcare, focusing on their potential to expedite the diagnosis and treatment of medical conditions, ultimately leading to improved patient outcomes. Subsequently, the notion and execution of multiplex testing are presented to enhance the comprehension of detecting multiple analytes. Finally, conclusions and future directions have been presented.

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A high-throughput fully automatic biosensing platform for efficient COVID-19 detection

Cited by 18 publications

References 52 publications

Detection of SARS-CoV-2 in saliva by a low-cost LSPR-based sensor

Detection of SARS-CoV-2 in saliva by a low-cost LSPR-based sensor

Automation and Computerization of (Bio)sensing Systems

Electrochemical and optical-based systems for SARS-COV-2 and various pathogens assessment

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