Grand Challenges in Biosensors and Biomolecular Electronics

Liu, Guozhen

doi:10.3389/fbioe.2021.707615

Cited by 17 publications

(10 citation statements)

References 41 publications

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“…Although smartphone‐based POCT technology has the advantages of being rapid, low cost, and easy popularization, its performance in terms of detection sensitivity, repeatability, and throughput awaits for further improvement compared to the automatic detection platforms in laboratory. Besides these emerging technologies for optical signal outputs, advances [ 153 ] in ultrasensitive assays (such as CRISPR/Cas biosensing, [ 154 ] nanomaterials‐facilitated biosensors, et al), printable biosensors (such as standardization of biosensor fabrication and preparation), and microfluidics (such as sensor arrays) will be beneficial to achieve desirable performance for smartphone‐enabled point‐of‐care diagnostics.…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Engineering Strategies for Advancing Optical Signal Outputs in Smartphone‐Enabled Point‐of‐Care Diagnostics

Fan

Liu

Miao

et al. 2023

Advanced Intelligent Systems

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The use of smartphone‐based analysis systems has been increasing over the past few decades. Among the important reasons for its popularity are its ubiquity, increasing computing power, relatively low cost, and capability to acquire and process data simultaneously in a point‐of‐need fashion. Furthermore, smartphones are equipped with various sensors, especially a complementary metal–oxide–semiconductor (CMOS) sensor. The high sensitivity of the CMOS sensor allows smartphones to be used as a colorimeter, fluorimeter, and spectrometer, constituting the essential part of point‐of‐care testing contributing to E‐health and beyond. However, despite its myriads of merits, smartphone‐based diagnostic devices still face many challenges, including high susceptibility to illumination conditions, difficulty in adapter uniformization, low interphone repeatability, and et al. These problems may hinder smartphone‐enabled diagnosis from passing the FDA regulations of medical devices. This review discusses the design and application of current smartphone‐based diagnostic devices and highlights challenges associated with existent methods and perspectives on how to deal with those challenges from engineering aspects on constant color signal acquisition, including smartphone adapter design, color space transformation, machine learning classification, and color correction.

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Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Engineering Strategies for Advancing Optical Signal Outputs in Smartphone‐Enabled Point‐of‐Care Diagnostics

Fan

Liu

Miao

et al. 2023

Advanced Intelligent Systems

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“…Therefore, to make it easily available, the matrix of the diagnostic device should be simple and cost effective (Divya, Dkhar, 2022;Liu, 2021).…”

Section: Costmentioning

confidence: 99%

“…Additionally, their price may be too high for regular clinical use and their implementation in a larger population. Therefore, to make it easily available, the matrix of the diagnostic device should be simple and cost effective (Divya, Dkhar, 2022; Divya, Mahapatra, et al, 2022; Liu, 2021).…”

Section: Challenges and Possible Solutionsmentioning

confidence: 99%

Design and development of opto‐electrochemical biosensing devices for diagnosing chronic kidney disease

Kumar

Darshna

Sammi

et al. 2023

Biotech & Bioengineering

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Chronic kidney disease (CKD) is emerging as one of the major causes of the increase in mortality rate and is expected to become 5th major cause by 2050. Many studies have shown that it is majorly related to various risk factors, and thus becoming one of the major health issues around the globe. Early detection of renal disease lowers the overall burden of disease by preventing individuals from developing kidney impairment. Therefore, diagnosis and prevention of CKD are becoming the major challenges, and in this situation, biosensors have emerged as one of the best possible solutions. Biosensors are becoming one of the preferred choices for various diseases diagnosis as they provide simpler, cost‐effective and precise methods for onsite detection. In this review, we have tried to discuss the globally developed biosensors for the detection of CKD, focusing on their design, pattern, and applicability in real samples. Two major classifications of biosensors based on transduction systems, that is, optical and electrochemical, for kidney disease have been discussed in detail. Also, the major focus is given to clinical biomarkers such as albumin, creatinine, and others related to kidney dysfunction. Furthermore, the globally developed sensors for the detection of CKD are discussed in tabulated form comparing their analytical performance, response time, specificity as well as performance in biological fluids.

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“…21 All these reported methods are sensitive and accurate, but the fabrication is complicated, and thus, they are not suitable for point-of-care testing (POCT). 22 Being different from the paper lateral flow assay, 23 microfluidic paper-based analytical devices (μPADs) have won their attractive position in biosensing and POCT due to their affordability, simplicity of operation, various pattern designs, and adaptability to different assays. 24−28 How to realize quantitative analysis with desirable sensitivity is a longstanding question in the academic field, which can be addressed by assay development, 26 μPAD engineering design, 25 and data analysis with the aid of mathematics and a smartphone.…”

mentioning

confidence: 99%

“…To overcome the enzyme biosensors’ drawbacks (high cost and poor reproducibility), a molybdenum disulfide-based nonenzymatic electrochemical sensor was developed for a highly selective detection of UA in human urine samples with a lowest detection limit of 0.2 ppm . All these reported methods are sensitive and accurate, but the fabrication is complicated, and thus, they are not suitable for point-of-care testing (POCT) . Being different from the paper lateral flow assay, microfluidic paper-based analytical devices (μPADs) have won their attractive position in biosensing and POCT due to their affordability, simplicity of operation, various pattern designs, and adaptability to different assays. − How to realize quantitative analysis with desirable sensitivity is a long-standing question in the academic field, which can be addressed by assay development, μPAD engineering design, and data analysis with the aid of mathematics and a smartphone. , Recently, the colorimetric μPAD was developed for the rapid detection of UA in human urine based on the colorimetric reaction between silver nanoparticles and tetramethylbenzidine (TMB) to generate oxidized TMB with a bluish-green color, which will be reduced by UA providing a signal-off signal .…”

mentioning

confidence: 99%

Digital Quantification Method for Sensitive Point-of-Care Detection of Salivary Uric Acid Using Smartphone-Assisted μPADs

et al. 2022

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Uric acid (UA) is an important biomarker for many diseases. A sensitive point-of-care (POC) testing platform is designed for the digital quantification of salivary UA based on a colorimetric reaction on an easy-to-build smartphone-assisted microfluidic paper-based analytical device (SμPAD). UA levels are quantified according to the color intensity of Prussian blue on the SμPAD with the aid of a MATLAB code or a smartphone APP. A color correction method is specifically applied to exclude the light effect. Together with the engineering design of SμPADs, the background calibration function with the APP increases the UA sensitivity by 100-fold to reach 0.1 ppm with a linear range of 0.1−200 ppm. The assay time is less than 10 min. SμPADs demonstrate a correlation of 0.97 with a commercial UA kit for the detection of salivary UA in clinical samples. SμPADs provide a sensitive, fast, affordable, and reliable tool for the noninvasive POC quantification of salivary UA for early diagnosis of abnormal UA level-associated health conditions.

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Grand Challenges in Biosensors and Biomolecular Electronics

Cited by 17 publications

References 41 publications

Engineering Strategies for Advancing Optical Signal Outputs in Smartphone‐Enabled Point‐of‐Care Diagnostics

Engineering Strategies for Advancing Optical Signal Outputs in Smartphone‐Enabled Point‐of‐Care Diagnostics

Design and development of opto‐electrochemical biosensing devices for diagnosing chronic kidney disease

Digital Quantification Method for Sensitive Point-of-Care Detection of Salivary Uric Acid Using Smartphone-Assisted μPADs

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