Machine Learning-Assisted Array-Based Biomolecular Sensing Using Surface-Functionalized Carbon Dots

Pandit, Subrata; Banerjee, Tuseeta; Srivastava, Indrajit; Nie, Shuming; Pan, Dipanjan

doi:10.1021/acssensors.9b01227

Cited by 96 publications

(74 citation statements)

References 36 publications

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“… 102 A sensor array based on carbon or carbon polymer dots with antibody functionality can detect aqueous proteins at 100 nM. 103 , 104 Furthermore, the highly active Fe 3 O 4 nanozyme amplifies the signals of the photoelectrochemical immunoassay. 105 A set of surface-enhanced Raman spectroscopy nanotags can detect multiple viral antigens through a sandwich immunoassay.…”

Section: Diagnostic Approaches To Covid-19mentioning

confidence: 99%

Current and Perspective Diagnostic Techniques for COVID-19

et al. 2020

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Since late December 2019, the coronavirus pandemic (COVID-19; previously known as 2019-nCoV) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been surging rapidly around the world. With more than 1,700,000 confirmed cases, the world faces an unprecedented economic, social, and health impact. The early, rapid, sensitive, and accurate diagnosis of viral infection provides rapid responses for public health surveillance, prevention, and control of contagious diffusion. More than 30% of the confirmed cases are asymptomatic, and the high false-negative rate (FNR) of a single assay requires the development of novel diagnostic techniques, combinative approaches, sampling from different locations, and consecutive detection. The recurrence of discharged patients indicates the need for long-term monitoring and tracking. Diagnostic and therapeutic methods are evolving with a deeper understanding of virus pathology and the potential for relapse. In this Review, a comprehensive summary and comparison of different SARS-CoV-2 diagnostic methods are provided for researchers and clinicians to develop appropriate strategies for the timely and effective detection of SARS-CoV-2. The survey of current biosensors and diagnostic devices for viral nucleic acids, proteins, and particles and chest tomography will provide insight into the development of novel perspective techniques for the diagnosis of COVID-19.

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Section: Diagnostic Approaches To Covid-19mentioning

confidence: 99%

Current and Perspective Diagnostic Techniques for COVID-19

et al. 2020

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“…Similarly, Lu et al reported identifying microorganisms at single cellular level using laser tweezer spectroscopy with convolutional neural networks, with a classification accuracy of ~95% [240]. Pandit et al demonstrated highly accurate detection of proteins present in low concentrations, without the use of any bioreceptor by using carbon-dot sensors assisted by a variety of machine learning algorithms [241]. The authors also provided a comparative analysis of the accuracy achieved by different algorithms, which ranged from 83-100%.…”

Section: Machine Learning For Nano-biosensorsmentioning

confidence: 99%

Nanostructures for Biosensing, with a Brief Overview on Cancer Detection, IoT, and the Role of Machine Learning in Smart Biosensors

Banerjee

Maity

Mastrangelo

2021

Sensors

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Biosensors are essential tools which have been traditionally used to monitor environmental pollution and detect the presence of toxic elements and biohazardous bacteria or virus in organic matter and biomolecules for clinical diagnostics. In the last couple of decades, the scientific community has witnessed their widespread application in the fields of military, health care, industrial process control, environmental monitoring, food-quality control, and microbiology. Biosensor technology has greatly evolved from in vitro studies based on the biosensing ability of organic beings to the highly sophisticated world of nanofabrication-enabled miniaturized biosensors. The incorporation of nanotechnology in the vast field of biosensing has led to the development of novel sensors and sensing mechanisms, as well as an increase in the sensitivity and performance of the existing biosensors. Additionally, the nanoscale dimension further assists the development of sensors for rapid and simple detection in vivo as well as the ability to probe single biomolecules and obtain critical information for their detection and analysis. However, the major drawbacks of this include, but are not limited to, potential toxicities associated with the unavoidable release of nanoparticles into the environment, miniaturization-induced unreliability, lack of automation, and difficulty of integrating the nanostructured-based biosensors, as well as unreliable transduction signals from these devices. Although the field of biosensors is vast, we intend to explore various nanotechnology-enabled biosensors as part of this review article and provide a brief description of their fundamental working principles and potential applications. The article aims to provide the reader a holistic overview of different nanostructures which have been used for biosensing purposes along with some specific applications in the field of cancer detection and the Internet of things (IoT), as well as a brief overview of machine-learning-based biosensing.

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“…Thus, careful design of the sensory system is required to minimize interferences. One may implement an array of OFS, each functionalized with different sensing materials that exhibit different affinity levels to a group of target molecules in order to obtain multivariable responses which allow statistical method such as linear discriminant analysis to be done to improve sensor's selectivity [227]. A multiplexing system also enables the translation of the existing optical fiber sensing platform for distributed sensing applications.…”

Section: Future Outlookmentioning

confidence: 99%

Carbon Allotrope-Based Optical Fibers for Environmental and Biological Sensing: A Review

Yap

Chan

Tjin

et al. 2020

Sensors

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Recently, carbon allotropes have received tremendous research interest and paved a new avenue for optical fiber sensing technology. Carbon allotropes exhibit unique sensing properties such as large surface to volume ratios, biocompatibility, and they can serve as molecule enrichers. Meanwhile, optical fibers possess a high degree of surface modification versatility that enables the incorporation of carbon allotropes as the functional coating for a wide range of detection tasks. Moreover, the combination of carbon allotropes and optical fibers also yields high sensitivity and specificity to monitor target molecules in the vicinity of the nanocoating surface. In this review, the development of carbon allotropes-based optical fiber sensors is studied. The first section provides an overview of four different types of carbon allotropes, including carbon nanotubes, carbon dots, graphene, and nanodiamonds. The second section discusses the synthesis approaches used to prepare these carbon allotropes, followed by some deposition techniques to functionalize the surface of the optical fiber, and the associated sensing mechanisms. Numerous applications that have benefitted from carbon allotrope-based optical fiber sensors such as temperature, strain, volatile organic compounds and biosensing applications are reviewed and summarized. Finally, a concluding section highlighting the technological deficiencies, challenges, and suggestions to overcome them is presented.2 of 43 of target molecules or physical parameters. In some instances, surface-modified carbon allotropes also permit multi-parameter detection capabilities of carbon allotrope-based OFS [7]. As such, an insight into the recent advances of carbon allotrope-based OFS can serve as a guideline to develop an effective detection approach for emerging real-world applications. Many review articles on carbon allotrope-based OFS mainly focus on a single type of carbon allotrope and the fundamental theory of carbon allotrope-based OFS [8,9]. Thus, this comprehensive review article encompasses the properties, preparation, sensing mechanisms, nanocoating deposition techniques, physical and biochemical sensing applications. This review aims to highlight the recent research work on carbon allotrope-based OFS that will serve as a reference guide for researchers to develop optimal detection approaches for physical parameters or trace level monitoring of chemical and biomolecules. Four groups of carbon allotropes, including carbon nanotubes (CNT), carbon dots (CDs), graphene, and nanodiamonds (NDs), will be studied. Commonly adopted synthesis approaches, classification of various deposition techniques for the integration of carbon allotropes as the thin film coating of OFS as well as numerous examples of these carbon allotrope-based OFS will also be outlined.

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Machine Learning-Assisted Array-Based Biomolecular Sensing Using Surface-Functionalized Carbon Dots

Cited by 96 publications

References 36 publications

Current and Perspective Diagnostic Techniques for COVID-19

Current and Perspective Diagnostic Techniques for COVID-19

Nanostructures for Biosensing, with a Brief Overview on Cancer Detection, IoT, and the Role of Machine Learning in Smart Biosensors

Carbon Allotrope-Based Optical Fibers for Environmental and Biological Sensing: A Review

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