scholarly journals 2D Materials in Development of Electrochemical Point-of-Care Cancer Screening Devices

Micromachines ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 662 ◽  
Author(s):  
Mohsen Mohammadniaei ◽  
Huynh Vu Nguyen ◽  
My Van Tieu ◽  
Min-Ho Lee
Keyword(s):  
Cancer Screening ◽  
2D Materials ◽  
Point Of Care ◽  
Low Cost ◽  
Clinical Analysis ◽  
Cancer Diagnostics ◽  
Electrochemical Sensing ◽  
Screening Tools ◽  
Electrochemical Biosensors ◽  
2D Material

Effective cancer treatment requires early detection and monitoring the development progress in a simple and affordable manner. Point-of care (POC) screening can provide a portable and inexpensive tool for the end-users to conveniently operate test and screen their health conditions without the necessity of special skills. Electrochemical methods hold great potential for clinical analysis of variety of chemicals and substances as well as cancer biomarkers due to their low cost, high sensitivity, multiplex detection ability, and miniaturization aptitude. Advances in two-dimensional (2D) material-based electrochemical biosensors/sensors are accelerating the performance of conventional devices toward more practical approaches. Here, recent trends in the development of 2D material-based electrochemical biosensors/sensors, as the next generation of POC cancer screening tools, are summarized. Three cancer biomarker categories, including proteins, nucleic acids, and some small molecules, will be considered. Various 2D materials will be introduced and their biomedical applications and electrochemical properties will be given. The role of 2D materials in improving the performance of electrochemical sensing mechanisms as well as the pros and cons of current sensors as the prospective devices for POC screening will be emphasized. Finally, the future scopes of implementing 2D materials in electrochemical POC cancer diagnostics for the clinical translation will be discussed.

scholarly journals Electrochemical Biosensors as Potential Diagnostic Devices for Autoimmune Diseases

Biosensors ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 38 ◽  
Author(s):  
Anca Florea ◽  
Gheorghe Melinte ◽  
Ioan Simon ◽  
Cecilia Cristea
Keyword(s):  
Autoimmune Disease ◽  
Early Diagnosis ◽  
Point Of Care ◽  
Low Cost ◽  
Therapy Monitoring ◽  
Specific Interaction ◽  
Sample Pretreatment ◽  
Disease Diagnosis ◽  
Clinical Analysis ◽  
Electrochemical Biosensors

An important class of biosensors is immunosensors, affinity biosensors that are based on the specific interaction between antibodies and antigens. They are classified in four classes based on the type of employed transducer: electrochemical, optical, microgravimetric, and thermometric and depending on the type of recognition elements, antibodies, aptamers, microRNAs and recently peptides are integrating parts. Those analytical devices are able to detect peptides, antibodies and proteins in various sample matrices, without many steps of sample pretreatment. Their high sensitivity, low cost and the easy integration in point of care devices assuring portability are attracting features that justify the increasing interest in their development. The use of nanomaterials, simultaneous multianalyte detection and integration on platforms to form point-of-care devices are promising tools that can be used in clinical analysis for early diagnosis and therapy monitoring in several pathologies. Taking into account the growing incidence of autoimmune disease and the importance of early diagnosis, electrochemical biosensors could represent a viable alternative to currently used diagnosis methods. Some relevant examples of electrochemical assays for autoimmune disease diagnosis developed in the last several years based on antigens, antibodies and peptides as receptors were gathered and will be discussed further.

scholarly journals Glycoprofiling of cancer biomarkers: Label-free electrochemical lectin-based biosensors

2015 ◽  
Vol 13 (1) ◽  
Author(s):  
Dominika Pihíková ◽  
Peter Kasák ◽  
Jan Tkac
Keyword(s):  
Electrochemical Impedance ◽  
Early Stage ◽  
Point Of Care ◽  
Low Cost ◽  
Warning Signal ◽  
Cancer Biomarkers ◽  
Cancer Diagnostics ◽  
Label Free ◽  
Glycosylation Pattern ◽  
Human Proteins

AbstractGlycosylation of biomolecules is one of the most prevalent post- and co-translational modification in a human body, with more than half of all human proteins being glycosylated. Malignant transformation of cells influences glycosylation machinery resulting in subtle changes of the glycosylation pattern within the cell populations as a result of cancer. Thus, an altered terminal glycan motif on glycoproteins could provide a warning signal about disease development and progression and could be applied as a reliable biomarker in cancer diagnostics. Among all highly effective glycoprofiling tools, label-free electrochemical impedance spectroscopy (EIS)-based biosensors have emerged as especially suitable tool for point-of-care early-stage cancer detection. Herein, we highlight the current challenges in glycoprofiling of various cancer biomarkers by ultrasensitive impedimetric-based biosensors with low sample consumption, low cost fabrication and simple miniaturization. Additionally, this review provides a short introduction to the field of glycomics and lectinomics and gives a brief overview of glycan alterations in different types of cancer.

scholarly journals Smartphone-Based NFC Potentiostat for Wireless Electrochemical Sensing

2021 ◽  
Vol 11 (1) ◽  
pp. 392
Author(s):  
Karnpimon Krorakai ◽  
Supannika Klangphukhiew ◽  
Sirinan Kulchat ◽  
Rina Patramanon
Keyword(s):  
Cyclic Voltammetry ◽  
Point Of Care ◽  
Low Cost ◽  
Near Field ◽  
Electrochemical Techniques ◽  
Electrochemical Sensing ◽  
Voltage Range ◽  
Resource Limited ◽  
Electrochemical Devices ◽  
User Friendly

Most electrochemical sensing requires affordable, portable and easy-to-use electrochemical devices for use in point-of-care testing and resource-limited settings. This work presents the design and evaluates the analytical performance of a near-field communication (NFC) potentiostat, a flat card-sized electrochemical device containing a microchip for electrical analysis and an NFC antenna for smartphone connection. The NFC interface is a wireless connection between the microchip and smartphone to simplify measuring units and make the potentiostat into a passive operated device, running without a battery. The proposed potentiostat can perform the common electrochemical techniques including cyclic voltammetry and chronoamperometry with a current range and voltage range of ±20 µA and ±0.8 V. The performance of the NFC potentiostat is compared to a commercial benchtop potentiostat using ferricyanide as a standard solution. The results show that the NFC potentiostat is comparable to a commercial benchtop potentiostat for both cyclic voltammetry and chronoamperometry measurements. The application of the proposed potentiostat is demonstrated by measuring ascorbic acid concentration. As described, the NFC potentiostat, which is compatible with a smartphone, is low-cost, small in size and user-friendly. Thus, the device can be developed for on-site measurement to apply in various fields.

scholarly journals 3D-Printed Immunosensor Arrays for Cancer Diagnostics

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4514 ◽  
Author(s):  
Mohamed Sharafeldin ◽  
Karteek Kadimisetty ◽  
Ketki S. Bhalerao ◽  
Tianqi Chen ◽  
James F. Rusling
Keyword(s):  
3D Printing ◽  
Early Stage ◽  
Point Of Care ◽  
Low Cost ◽  
Cancer Diagnostics ◽  
Diagnostic Tools ◽  
Protein Biomarkers ◽  
Protein Biomarker ◽  
Subtractive Manufacturing ◽  
3D Printed

Detecting cancer at an early stage of disease progression promises better treatment outcomes and longer lifespans for cancer survivors. Research has been directed towards the development of accessible and highly sensitive cancer diagnostic tools, many of which rely on protein biomarkers and biomarker panels which are overexpressed in body fluids and associated with different types of cancer. Protein biomarker detection for point-of-care (POC) use requires the development of sensitive, noninvasive liquid biopsy cancer diagnostics that overcome the limitations and low sensitivities associated with current dependence upon imaging and invasive biopsies. Among many endeavors to produce user-friendly, semi-automated, and sensitive protein biomarker sensors, 3D printing is rapidly becoming an important contemporary tool for achieving these goals. Supported by the widely available selection of affordable desktop 3D printers and diverse printing options, 3D printing is becoming a standard tool for developing low-cost immunosensors that can also be used to make final commercial products. In the last few years, 3D printing platforms have been used to produce complex sensor devices with high resolution, tailored towards researchers’ and clinicians’ needs and limited only by their imagination. Unlike traditional subtractive manufacturing, 3D printing, also known as additive manufacturing, has drastically reduced the time of sensor and sensor array development while offering excellent sensitivity at a fraction of the cost of conventional technologies such as photolithography. In this review, we offer a comprehensive description of 3D printing techniques commonly used to develop immunosensors, arrays, and microfluidic arrays. In addition, recent applications utilizing 3D printing in immunosensors integrated with different signal transduction strategies are described. These applications include electrochemical, chemiluminescent (CL), and electrochemiluminescent (ECL) 3D-printed immunosensors. Finally, we discuss current challenges and limitations associated with available 3D printing technology and future directions of this field.

scholarly journals Machine learning approach for early detection of autism by combining questionnaire and home video screening

2018 ◽  
Vol 25 (8) ◽  
pp. 1000-1007 ◽  
Author(s):  
Halim Abbas ◽  
Ford Garberson ◽  
Eric Glover ◽  
Dennis P Wall
Keyword(s):  
Machine Learning ◽  
Clinical Study ◽  
Early Detection ◽  
Low Cost ◽  
Clinical Analysis ◽  
Autism Spectrum ◽  
Training Data ◽  
Screening Tools ◽  
Home Video ◽  
Home Videos

Abstract Background Existing screening tools for early detection of autism are expensive, cumbersome, time- intensive, and sometimes fall short in predictive value. In this work, we sought to apply Machine Learning (ML) to gold standard clinical data obtained across thousands of children at-risk for autism spectrum disorder to create a low-cost, quick, and easy to apply autism screening tool. Methods Two algorithms are trained to identify autism, one based on short, structured parent-reported questionnaires and the other on tagging key behaviors from short, semi-structured home videos of children. A combination algorithm is then used to combine the results into a single assessment of higher accuracy. To overcome the scarcity, sparsity, and imbalance of training data, we apply novel feature selection, feature engineering, and feature encoding techniques. We allow for inconclusive determination where appropriate in order to boost screening accuracy when conclusive. The performance is then validated in a controlled clinical study. Results A multi-center clinical study of n = 162 children is performed to ascertain the performance of these algorithms and their combination. We demonstrate a significant accuracy improvement over standard screening tools in measurements of AUC, sensitivity, and specificity. Conclusion These findings suggest that a mobile, machine learning process is a reliable method for detection of autism outside of clinical settings. A variety of confounding factors in the clinical analysis are discussed along with the solutions engineered into the algorithms. Final results are statistically limited and will benefit from future clinical studies to extend the sample size.

scholarly journals Label free, electric field mediated ultrasensitive electrochemical point-of-care device for CEA detection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
B. Chakraborty ◽  
A. Das ◽  
N. Mandal ◽  
N. Samanta ◽  
N. Das ◽  
...  
Keyword(s):  
Electric Field ◽  
Electrochemical Impedance ◽  
Limit Of Detection ◽  
Point Of Care ◽  
Low Cost ◽  
Zno Nanorods ◽  
Hybrid Nanostructures ◽  
Electrochemical Sensing ◽  
Label Free ◽  
Electron Transfer Rate

AbstractDeveloping point-of-care (PoC) diagnostic platforms for carcinoembryonic antigen detection is essential. However, thefew implementations of transferring the signal amplification strategies in electrochemical sensing on paper-based platforms are not satisfactory in terms of detection limit (LOD). In the quest for pushing down LOD, majority of the research has been targeted towards development of improved nanostructured substrates for entrapping more analyte molecules and augmenting the electron transfer rate to the working electrode. But, such approaches have reached saturation. This paper focuses on enhancing the mass transport of the analyte towards the sensor surface through the application of an electric field, in graphene-ZnO nanorods heterostructure. These hybrid nanostructures have been deposited on flexible polyethylene terephthalate substrates with screen printed electrodes for PoC application. The ZnO nanorods have been functionalized with aptamers and the working sensor has been integrated with smartphone interfaced indigenously developed low cost potentiostat. The performance of the system, requiring only 50 µl analyte has been evaluated using electrochemical impedance spectroscopy and validated against commercially available ELISA kit. Limit of detection of 1 fg/ml in human serum with 6.5% coefficient of variation has been demonstrated, which is more than three orders of magnitude lower than the existing attempts on PoC device.

scholarly journals Wearable Biosensors for Non-Invasive Sweat Diagnostics

Biosensors ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 245
Author(s):  
Jing Xu ◽  
Yunsheng Fang ◽  
Jun Chen
Keyword(s):  
Point Of Care ◽  
Low Cost ◽  
Wearable Sensors ◽  
Electrochemical Sensing ◽  
Future Research ◽  
Health States ◽  
Non Invasive ◽  
Healthcare Monitoring ◽  
Medical Modeling ◽  
Level Monitoring

Recent advances in microfluidics, microelectronics, and electrochemical sensing methods have steered the way for the development of novel and potential wearable biosensors for healthcare monitoring. Wearable bioelectronics has received tremendous attention worldwide due to its great a potential for predictive medical modeling and allowing for personalized point-of-care-testing (POCT). They possess many appealing characteristics, for example, lightweight, flexibility, good stretchability, conformability, and low cost. These characteristics make wearable bioelectronics a promising platform for personalized devices. In this paper, we review recent progress in flexible and wearable sensors for non-invasive biomonitoring using sweat as the bio-fluid. Real-time and molecular-level monitoring of personal health states can be achieved with sweat-based or perspiration-based wearable biosensors. The suitability of sweat and its potential in healthcare monitoring, sweat extraction, and the challenges encountered in sweat-based analysis are summarized. The paper also discusses challenges that still hinder the full-fledged development of sweat-based wearables and presents the areas of future research.

scholarly journals Printed Electrochemical Biosensors: Opportunities and Metrological Challenges

Biosensors ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 166
Author(s):  
Emilio Sardini ◽  
Mauro Serpelloni ◽  
Sarah Tonello
Keyword(s):  
Limit Of Detection ◽  
Point Of Care ◽  
Low Cost ◽  
Basic Research ◽  
Critical Discussion ◽  
Detection Sensitivity ◽  
Live Cells ◽  
Electrochemical Biosensors ◽  
Non Invasive ◽  
Home Based

Printed electrochemical biosensors have recently gained increasing relevance in fields ranging from basic research to home-based point-of-care. Thus, they represent a unique opportunity to enable low-cost, fast, non-invasive and/or continuous monitoring of cells and biomolecules, exploiting their electrical properties. Printing technologies represent powerful tools to combine simpler and more customizable fabrication of biosensors with high resolution, miniaturization and integration with more complex microfluidic and electronics systems. The metrological aspects of those biosensors, such as sensitivity, repeatability and stability, represent very challenging aspects that are required for the assessment of the sensor itself. This review provides an overview of the opportunities of printed electrochemical biosensors in terms of transducing principles, metrological characteristics and the enlargement of the application field. A critical discussion on metrological challenges is then provided, deepening our understanding of the most promising trends in order to overcome them: printed nanostructures to improve the limit of detection, sensitivity and repeatability; printing strategies to improve organic biosensor integration in biological environments; emerging printing methods for non-conventional substrates; microfluidic dispensing to improve repeatability. Finally, an up-to-date analysis of the most recent examples of printed electrochemical biosensors for the main classes of target analytes (live cells, nucleic acids, proteins, metabolites and electrolytes) is reported.

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