101
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Liu TL, Dong Y, Chen S, Zhou J, Ma Z, Li J. Battery-free, tuning circuit-inspired wireless sensor systems for detection of multiple biomarkers in bodily fluids. SCIENCE ADVANCES 2022; 8:eabo7049. [PMID: 35857473 PMCID: PMC9258955 DOI: 10.1126/sciadv.abo7049] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 05/23/2022] [Indexed: 06/15/2023]
Abstract
Tracking the concentration of biomarkers in biofluids can provide crucial information about health status. However, the complexity and nonideal form factors of conventional digital wireless schemes impose challenges in realizing biointegrated, lightweight, and miniaturized sensors. Inspired by the working principle of tuning circuits in radio frequency electronics, this study reports a class of battery-free wireless biochemical sensors: In a resonance circuit, the coupling between a sensing interface and an inductor-capacitor oscillator through a pair of varactor diodes converts a change in electric potential into a modulation in capacitance, resulting in a quantifiable shift of the resonance circuit. Proper design of sensing interfaces with biorecognition elements enables the detection of various biomarkers, including ions, neurotransmitters, and metabolites. Demonstrations of "smart accessories" and miniaturized probes suggest the broad utility of this circuit model. The design concepts and sensing strategies provide a realistic pathway to building biointegrated electronics for wireless biochemical sensing.
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Affiliation(s)
- Tzu-Li Liu
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH 43220, USA
| | - Yan Dong
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH 43220, USA
| | - Shulin Chen
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH 43220, USA
| | - Jie Zhou
- Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Zhenqiang Ma
- Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Engineering Physics, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Jinghua Li
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH 43220, USA
- Chronic Brain Injury Program, The Ohio State University, Columbus, OH 43220, USA
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102
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Nanoparticle-Mediated Signaling for Aptamer-Based Multiplexed Detection of Cortisol and Neuropeptide Y in Serum. CHEMOSENSORS 2022. [DOI: 10.3390/chemosensors10050153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Multiplexed profiling of the expression of neurochemical biomarkers of stress, for periodic assessment to enable augmentation of human performance, requires wash-free detection platforms that exhibit reproducible signals from samples in biological matrices. However, alterations in aptamer conformation after binding to targets, such as cortisol, are minimal based on NMR spectra, and the methylene blue signaling is blocked by serum proteins. Hence, in this study, we explore aptamer derivatization with magnetic nanoparticles that are conjugated with multiple methylene blue moieties, to amplify signals and alter the net charge configuration for repulsing serum proteins, so that the aptamer conformation upon target recognition can lead to a signal ON assay in serum media. Based on this, a microchip platform with addressable electrodes that are immobilized with selective aptamer receptors is developed for multiplexed detection of cortisol (1–700 ng/mL) and neuropeptide Y (5–1000 pg/mL) in patient-derived serum samples, which is validated by immunoassays. We envision the application of this sensor for profiling a wider array of human performance biomarkers under stress-related events to develop stress augmentation methodologies.
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103
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Chen M, Cui D, Zhao Z, Kang D, Li Z, Albawardi S, Alsageer S, Alamri F, Alhazmi A, Amer MR, Zhou C. Highly sensitive, scalable, and rapid SARS-CoV-2 biosensor based on In 2O 3 nanoribbon transistors and phosphatase. NANO RESEARCH 2022; 15:5510-5516. [PMID: 35371413 PMCID: PMC8959552 DOI: 10.1007/s12274-022-4190-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 01/24/2022] [Accepted: 01/25/2022] [Indexed: 05/06/2023]
Abstract
UNLABELLED Developing convenient and accurate SARS-CoV-2 antigen test and serology test is crucial in curbing the global COVID-19 pandemic. In this work, we report an improved indium oxide (In2O3) nanoribbon field-effect transistor (FET) biosensor platform detecting both SARS-CoV-2 antigen and antibody. Our FET biosensors, which were fabricated using a scalable and cost-efficient lithography-free process utilizing shadow masks, consist of an In2O3 channel and a newly developed stable enzyme reporter. During the biosensing process, the phosphatase enzymatic reaction generated pH change of the solution, which was then detected and converted to electrical signal by our In2O3 FETs. The biosensors applied phosphatase as enzyme reporter, which has a much better stability than the widely used urease in FET based biosensors. As proof-of-principle studies, we demonstrate the detection of SARS-CoV-2 spike protein in both phosphate-buffered saline (PBS) buffer and universal transport medium (UTM) (limit of detection [LoD]: 100 fg/mL). Following the SARS-CoV-2 antigen tests, we developed and characterized additional sensors aimed at SARS-CoV-2 IgG antibodies, which is important to trace past infection and vaccination. Our spike protein IgG antibody tests exhibit excellent detection limits in both PBS and human whole blood ((LoD): 1 pg/mL). Our biosensors display similar detection performance in different mediums, demonstrating that our biosensor approach is not limited by Debye screening from salts and can selectively detect biomarkers in physiological fluids. The newly selected enzyme for our platform performs much better performance and longer shelf life which will lead our biosensor platform to be capable for real clinical diagnosis usage. ELECTRONIC SUPPLEMENTARY MATERIAL Supplementary material (materials and methods for device fabrication, functionalization of In2O3 devices, photographs of the liquid gate measurement setup, mobilities of the nine devices labeled in Fig. 1(b), family curves of I DS-V DS with the liquid gate setup and current change after bubbling the substrate solution (current vs. time curve for S1 antigen detection)) is available in the online version of this article at 10.1007/s12274-022-4190-0.
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Affiliation(s)
- Mingrui Chen
- Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089 USA
| | - Dingzhou Cui
- Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, California 90089 USA
| | - Zhiyuan Zhao
- Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089 USA
| | - Di Kang
- eDNA Biotech, Pasadena, California 91107 USA
| | - Zhen Li
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089 USA
| | - Shahad Albawardi
- Center of Excellence for Green Nanotechnologies, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Shahla Alsageer
- Center of Excellence for Green Nanotechnologies, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Faisal Alamri
- Center of Excellence for Green Nanotechnologies, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Abrar Alhazmi
- Center of Excellence for Green Nanotechnologies, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Moh. R. Amer
- Center of Excellence for Green Nanotechnologies, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
- Department of Electrical Engineering, 420 Westwood Plaza, 5412 Boelter Hall, University of California, Los Angeles, Los Angeles, California 90095 USA
| | - Chongwu Zhou
- Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089 USA
- Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, California 90089 USA
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104
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Dalan R, Bornstein SR, Boehm BO. Cushing's Disease Management: Glimpse Into 2051. Front Endocrinol (Lausanne) 2022; 13:943993. [PMID: 35872988 PMCID: PMC9299426 DOI: 10.3389/fendo.2022.943993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 06/03/2022] [Indexed: 11/13/2022] Open
Abstract
Major advancements are expected in medicine and healthcare in the 21st century- "Digital Age", mainly due to the application of data technologies and artificial intelligence into healthcare. In this perspective article we share a short story depicting the future Cushings' Disease patient and the postulated diagnostic and management approaches. In the discussion, we explain the advances in recent times which makes this future state plausible. We postulate that endocrinology care will be completely reinvented in the Digital Age.
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Affiliation(s)
- Rinkoo Dalan
- Tan Tock Seng Hospital, National Healthcare Group, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- *Correspondence: Rinkoo Dalan,
| | - Stefan R. Bornstein
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Medicine III, University Hospital Carl Gustav Carus, Dresden, Germany
- Division of Diabetes and Nutritional Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
- Klinik für Endokrinologie, Diabetologie und Klinische Ernährung, University Hospital, Zürich, Switzerland
| | - Bernhard O. Boehm
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
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105
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Cho W, Rafi H, Cho S, Balijepalli A, Zestos AG. High resolution voltammetric and field-effect transistor readout of carbon fiber microelectrode biosensors. SENSORS & DIAGNOSTICS 2022; 1:460-464. [PMID: 35647552 PMCID: PMC9119317 DOI: 10.1039/d2sd00023g] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Rapid and sensitive pH measurements with increased spatiotemporal resolution are imperative to probe neurochemical signals and illuminate brain function. We interfaced carbon fiber microelectrode (CFME) sensors with both fast scan cyclic voltammetry (FSCV) and field-effect transistor (FET) transducers for dynamic pH measurements. The electrochemical oxidation and reduction of functional groups on the surface of CFMEs affect their response over a physiologically relevant pH range. When measured with FET transducers, the sensitivity of the measurements over the measured pH range was found to be (101 ± 18) mV, which exceeded the Nernstian value of 59 mV by approximately 70%. Finally, we validated the functionality of CFMEs as pH sensors with FSCV ex vivo in rat brain coronal slices with exogenously applied solutions of varying pH values indicating that potential in vivo study is feasible. Highly sensitive CFMEs as a pH sensor in tandem with both FET and FSCV methods having ex vivo sensing capability is demonstrated.![]()
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Affiliation(s)
- Whirang Cho
- Department of Chemistry, American University, Washington, D.C. 20016, USA
- Biophysical and Biomedical Measurement Group, Microsystems and Nanotechnology Division, National Institute of Standards and Technology, Gaithersburg 20899, USA
| | - Harmain Rafi
- Department of Chemistry, American University, Washington, D.C. 20016, USA
| | - Seulki Cho
- Biophysical and Biomedical Measurement Group, Microsystems and Nanotechnology Division, National Institute of Standards and Technology, Gaithersburg 20899, USA
| | - Arvind Balijepalli
- Biophysical and Biomedical Measurement Group, Microsystems and Nanotechnology Division, National Institute of Standards and Technology, Gaithersburg 20899, USA
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