1
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Kim KH, Kwak J, Seo SE, Ha S, Kim GJ, Lee S, Sim SJ, Lee YK, Tran NL, Oh SJ, Kim WK, Song HS, Kwon OS. TRPA1 nanovesicle-conjugated receptonics for rapid biocide screening. JOURNAL OF HAZARDOUS MATERIALS 2024; 477:135282. [PMID: 39088952 DOI: 10.1016/j.jhazmat.2024.135282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 07/07/2024] [Accepted: 07/20/2024] [Indexed: 08/03/2024]
Abstract
Although biocides are important materials in modern society and help protect human health and the environment, increasing exposure to combined biocides can cause severe side effects in the human body, such as lung fibrosis. In this study, we developed a receptonics system to screen for biocides in combined household chemical products based on biocides. The system contains transient receptor potential ankyrin 1 (TRPA1) nanovesicles (NVs) to sense biocides based on pain receptors and a side-gated field-effect transistor (SGFET) using a single-layer graphene (SLG) micropattern channel. The binding affinities between the TRPA1 receptor and the various biocides were estimated by performing biosimulation and using a calcium ion (Ca2+) assay, and the sensitivity of the system was compared with that of TRPA1 NV receptonics systems. Based on the results of the TRPA1 NV receptonics system, the antagonistic and potentiation effects of combined biocides and household chemical products depended on the concentration. Finally, the TRPA1 NV receptonics system was applied to screen for biocides in real products, and its performance was successful. Based on these results, the TRPA1 NV receptonics system can be utilized to perform risk evaluations and identify biocides in a simple and rapid manner.
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Affiliation(s)
- Kyung Ho Kim
- SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Jisung Kwak
- Sensor System Research Center, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea; Department of Chemical and Biological Engineering, Korea University, Seoul 02841, Republic of Korea
| | - Sung Eun Seo
- SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Siyoung Ha
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Gyeong-Ji Kim
- SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Sangwoo Lee
- Department of Predictive Toxicology, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea; Human and Environmental Toxicology, University of Science and Technology, Daejeon 34113, Republic of Korea
| | - Sang Jun Sim
- Department of Chemical and Biological Engineering, Korea University, Seoul 02841, Republic of Korea
| | - Yeon Kyung Lee
- Sensor System Research Center, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea; Department of Biomicrosystem Technology, Korea University, Seoul, 02841, Republic of Korea
| | - Na Ly Tran
- Department of Genetics and Biotechnology, College of Life Sciences, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Republic of Korea
| | - Seung Ja Oh
- Department of Genetics and Biotechnology, College of Life Sciences, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Republic of Korea
| | - Woo-Keun Kim
- Department of Predictive Toxicology, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea; Human and Environmental Toxicology, University of Science and Technology, Daejeon 34113, Republic of Korea.
| | - Hyun Seok Song
- Sensor System Research Center, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea.
| | - Oh Seok Kwon
- SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Republic of Korea; Department of Nano Science and Technology, Sungkyunkwan University, Suwon 16419, Republic of Korea; Department of Nano Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
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2
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Xiang Y, Shi K, Li Y, Xue J, Tong Z, Li H, Li Z, Teng C, Fang J, Hu N. Active Micro-Nano-Collaborative Bioelectronic Device for Advanced Electrophysiological Recording. NANO-MICRO LETTERS 2024; 16:132. [PMID: 38411852 PMCID: PMC10899154 DOI: 10.1007/s40820-024-01336-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 12/28/2023] [Indexed: 02/28/2024]
Abstract
The development of precise and sensitive electrophysiological recording platforms holds the utmost importance for research in the fields of cardiology and neuroscience. In recent years, active micro/nano-bioelectronic devices have undergone significant advancements, thereby facilitating the study of electrophysiology. The distinctive configuration and exceptional functionality of these active micro-nano-collaborative bioelectronic devices offer the potential for the recording of high-fidelity action potential signals on a large scale. In this paper, we review three-dimensional active nano-transistors and planar active micro-transistors in terms of their applications in electro-excitable cells, focusing on the evaluation of the effects of active micro/nano-bioelectronic devices on electrophysiological signals. Looking forward to the possibilities, challenges, and wide prospects of active micro-nano-devices, we expect to advance their progress to satisfy the demands of theoretical investigations and medical implementations within the domains of cardiology and neuroscience research.
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Affiliation(s)
- Yuting Xiang
- Department of Chemistry, Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 310058, People's Republic of China
- Department of Obstetrics and Gynecology, The Tenth Affiliated Hospital, Southern Medical University, Dongguan, 523059, People's Republic of China
- Dongguan Key Laboratory of Major Diseases in Obstetrics and Gynecology, Dongguan, 523059, People's Republic of China
| | - Keda Shi
- Department of Lung Transplantation and General Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China
| | - Ying Li
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China
| | - Jiajin Xue
- General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310052, People's Republic of China
| | - Zhicheng Tong
- Department of Orthopedics, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322005, People's Republic of China
| | - Huiming Li
- Department of Orthopedics, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322005, People's Republic of China
| | - Zhongjun Li
- Department of Obstetrics and Gynecology, The Tenth Affiliated Hospital, Southern Medical University, Dongguan, 523059, People's Republic of China.
- Dongguan Key Laboratory of Major Diseases in Obstetrics and Gynecology, Dongguan, 523059, People's Republic of China.
| | - Chong Teng
- Department of Orthopedics, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322005, People's Republic of China.
| | - Jiaru Fang
- School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, People's Republic of China.
| | - Ning Hu
- Department of Chemistry, Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 310058, People's Republic of China.
- General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310052, People's Republic of China.
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3
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Song Y, Song JY, Shim JE, Kim DH, Na HK, You EA, Ha YG. Highly Effective and Efficient Self-Assembled Multilayer-Based Electrode Passivation for Operationally Stable and Reproducible Electrolyte-Gated Transistor Biosensors. ACS APPLIED MATERIALS & INTERFACES 2023; 15:46527-46537. [PMID: 37713500 DOI: 10.1021/acsami.3c09976] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/17/2023]
Abstract
To ensure the operational stability of transistor-based biosensors in aqueous electrolytes during multiple measurements, effective electrode passivation is crucially important for reliable and reproducible device performances. This paper presents a highly effective and efficient electrode passivation method using a facile solution-processed self-assembled multilayer (SAML) with excellent insulation property to achieve operational stability and reproducibility of electrolyte-gated transistor (EGT) biosensors. The SAML is created by the consecutive self-assembly of three different molecular layers of 1,10-decanedithiol, vinyl-polyhedral oligomeric silsesquioxane, and 1-octadecanethiol. This passivation enables EGT to operate stably in phosphate-buffered saline (PBS) during repeated measurements over multiple cycles without short-circuiting. The SAML-passivated EGT biosensor is fabricated with a solution-processed In2O3 thin film as an amorphous oxide semiconductor working both as a semiconducting channel in the transistor and as a functionalizable biological interface for a bioreceptor. The SAML-passivated EGT including In2O3 thin film is demonstrated for the detection of Tau protein as a biomarker of Alzheimer's disease while employing a Tau-specific DNA aptamer as a bioreceptor and a PBS solution with a low ionic strength to diminish the charge-screening (Debye length) effect. The SAML-passivated EGT biosensor functionalized with the Tau-specific DNA aptamer exhibits ultrasensitive, quantitative, and reliable detection of Tau protein from 1 × 10-15 to 1 × 10-10 M, covering a much larger range than clinical needs, via changes in different transistor parameters. Therefore, the SAML-based passivation method can be effectively and efficiently utilized for operationally stable and reproducible transistor-based biosensors. Furthermore, this presented strategy can be extensively adapted for advanced biomedical devices and bioelectronics in aqueous or physiological environments.
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Affiliation(s)
- Youngmin Song
- Department of Chemistry, Kyonggi University, Suwon 16227, Republic of Korea
| | - Jong Yu Song
- Department of Chemistry, Kyonggi University, Suwon 16227, Republic of Korea
| | - Jae-Eul Shim
- Nanobiosensor Team, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
| | - Dong Hyung Kim
- Nanobiosensor Team, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
| | - Hee-Kyung Na
- Bioimaging Team, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
| | - Eun-Ah You
- Nanobiosensor Team, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
| | - Young-Geun Ha
- Department of Chemistry, Kyonggi University, Suwon 16227, Republic of Korea
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Izquierdo JEE, Cavallari MR, García DC, Oliveira JDDS, Nogueira VAM, Braga GDS, Ando Junior OH, Quivy AA, Kymissis I, Fonseca FJ. Detection of Water Contaminants by Organic Transistors as Gas Sensors in a Bottom-Gate/Bottom-Contact Cross-Linked Structure. SENSORS (BASEL, SWITZERLAND) 2023; 23:7981. [PMID: 37766036 PMCID: PMC10534344 DOI: 10.3390/s23187981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/23/2023] [Accepted: 08/25/2023] [Indexed: 09/29/2023]
Abstract
Detecting volatile organic compounds is a fundamental step in water quality analysis. Methylisoborneol (MIB) provides a lousy odor to water, whereas geosmin (GEO) is responsible for its sour taste. A widely-used technique for their detection is gas-phase chromatography. On the other hand, an electronic nose from organic thin-film transistors is a cheaper and faster alternative. Poly(2,5-bis(3-tetradecyl-thiophen-2-yl)thieno[3,2-b]thiophene) (PBTTT-C14) features semiconducting properties suitable for organic electronics. However, in order to expose the active layer in a bottom-gate transistor structure with photolithographically patterned electrodes, a cross-linked dielectric such as poly(4-vinyl phenol) (PVP) is necessary. In this work, the cross-linking was demonstrated using FTIR and Raman spectroscopies, as well as high-k capacitors with a dielectric constant of 5.3. The presence of enhanced crystallinity with terrace formation in the semiconducting film was confirmed with UV-visible spectrophotometry, atomic force microscopy, and X-ray diffraction. Finally, for the first time, a PBTTT-C14 transistor on cross-linked PVP was shown to respond to isoborneol with a sensitivity of up to 6% change in mobility per ppm. Due to its similarity to MIB, a system comprising these sensors must be investigated in the future as a tool for sanitation companies in real-time water quality monitoring.
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Grants
- CAPES, scholarship number 88882.333362/2019-01, Programa de Excelência Acadêmica/PROEX Coordenação de Aperfeicoamento de Pessoal de Nível Superior
- FAPESP, process numbers 13/50440-7, 580 13/19420-0, and 15/08566-9 São Paulo Research Foundation
- Unicamp, Auxílio Início de Carreira (Docente), FAEPEX, process number 2095/23 State University of Campinas
- FACEPE, process numbers APQ-0616-9.25/21 and APQ-0642-9.25/22 Fundação de Amparo a Ciência e Tecnologia do Estado de Pernambuco
- CNPq, process numbers 311687/2017-2, 608 407531/2018-1, 303293/2020-9, 309837/2021-9, 405385/2022-6, 405350/2022-8, and 40666/2022-3 National Council for Scientific and Technological Development
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Affiliation(s)
- José Enrique Eirez Izquierdo
- Departamento de Engenharia de Sistemas Eletrônicos (PSI), Escola Politécnica da Universidade de São Paulo (EPUSP), São Paulo 05508-010, SP, Brazil; (J.E.E.I.); (D.C.G.); (J.D.d.S.O.); (V.A.M.N.); (G.d.S.B.)
| | - Marco Roberto Cavallari
- Departamento de Engenharia de Sistemas Eletrônicos (PSI), Escola Politécnica da Universidade de São Paulo (EPUSP), São Paulo 05508-010, SP, Brazil; (J.E.E.I.); (D.C.G.); (J.D.d.S.O.); (V.A.M.N.); (G.d.S.B.)
- School of Electrical and Computer Engineering, University of Campinas (Unicamp), Av. Albert Einstein 400, Campinas 13083-852, SP, Brazil
- Electrical Engineering Department, Columbia University, New York, NY 10027, USA;
| | - Dennis Cabrera García
- Departamento de Engenharia de Sistemas Eletrônicos (PSI), Escola Politécnica da Universidade de São Paulo (EPUSP), São Paulo 05508-010, SP, Brazil; (J.E.E.I.); (D.C.G.); (J.D.d.S.O.); (V.A.M.N.); (G.d.S.B.)
| | - José Diogo da Silva Oliveira
- Departamento de Engenharia de Sistemas Eletrônicos (PSI), Escola Politécnica da Universidade de São Paulo (EPUSP), São Paulo 05508-010, SP, Brazil; (J.E.E.I.); (D.C.G.); (J.D.d.S.O.); (V.A.M.N.); (G.d.S.B.)
| | - Vinicius Augusto Machado Nogueira
- Departamento de Engenharia de Sistemas Eletrônicos (PSI), Escola Politécnica da Universidade de São Paulo (EPUSP), São Paulo 05508-010, SP, Brazil; (J.E.E.I.); (D.C.G.); (J.D.d.S.O.); (V.A.M.N.); (G.d.S.B.)
| | - Guilherme de Souza Braga
- Departamento de Engenharia de Sistemas Eletrônicos (PSI), Escola Politécnica da Universidade de São Paulo (EPUSP), São Paulo 05508-010, SP, Brazil; (J.E.E.I.); (D.C.G.); (J.D.d.S.O.); (V.A.M.N.); (G.d.S.B.)
- Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal
| | - Oswaldo Hideo Ando Junior
- Research Group on Energy & Energy Sustainability (GPEnSE), Academic Unit of Cabo de Santo Agostinho (UACSA), Federal Rural University of Pernambuco (UFRPE), Cabo de Santo Agostinho 54518-430, PE, Brazil;
| | - Alain A. Quivy
- Institute of Physics, University of São Paulo, São Paulo 05508-090, SP, Brazil;
| | - Ioannis Kymissis
- Electrical Engineering Department, Columbia University, New York, NY 10027, USA;
| | - Fernando Josepetti Fonseca
- Departamento de Engenharia de Sistemas Eletrônicos (PSI), Escola Politécnica da Universidade de São Paulo (EPUSP), São Paulo 05508-010, SP, Brazil; (J.E.E.I.); (D.C.G.); (J.D.d.S.O.); (V.A.M.N.); (G.d.S.B.)
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5
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Kim KH, Jo S, Seo SE, Kim J, Lee DS, Joo S, Lee J, Song HS, Lee HG, Kwon OS. Ultrasensitive Gas Detection Based on Electrically Enhanced Nanoplasmonic Sensor with Graphene-Encased Gold Nanorod. ACS Sens 2023; 8:2169-2178. [PMID: 37161992 DOI: 10.1021/acssensors.2c02414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Nanoplasmonic sensors are a widely known concept and have been studied with various applications. Among them, gas detection is engaging attention in many fields. However, the analysis performance of nanoplasmonic sensors based on refractive index confined to the metal nanostructure characteristics causes challenges in gas detection. In this study, we develop a graphene-encased gold nanorod (AuNR)-based nanoplasmonic sensor to detect cadaverine gas. The graphene-encased AuNR (Gr@AuNR) presents an ultrasensitive peak wavelength shift even with tiny molecules. In addition, the external potential transmitted through graphene induces an additional shift. A chemical receptor is immobilized on Gr@AuNR (CR@Gr@AuNR) for selectively capturing cadaverine. The CR@Gr@AuNR achieves ultrasensitive detection of cadaverine gas, and the detection limit is increased to 15.99 ppb by applying a voltage to graphene. Furthermore, the experimental results of measuring cadaverine generated from spoiled pork show the practicality of CR@Gr@AuNR. The strategy of external-boosted nanoplasmonics provides new insight into plasmonic sensing and applications.
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Affiliation(s)
- Kyung Ho Kim
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
- Immunotherapy Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Seongjae Jo
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
- Immunotherapy Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Sung Eun Seo
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Jaemin Kim
- Department of Control and Instrumentation Engineering, Korea University, Sejong 30019, Republic of Korea
| | - Dae-Sik Lee
- Diagnostic & Therapeutic Systems Research Section, Electronics and Telecommunications Research Institute (ETRI), Daejeon 34141, Republic of Korea
| | - Siyeon Joo
- Center for Environment, Health and Welfare Research, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
| | - Jiwon Lee
- Center for Environment, Health and Welfare Research, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
| | - Hyun Seok Song
- Sensor System Research Center, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
| | - Hee Gu Lee
- Immunotherapy Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Oh Seok Kwon
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
- Department of Nano Engineering, SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea
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6
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Wang X, Dai C, Wu Y, Liu Y, Wei D. Molecular-electromechanical system for unamplified detection of trace analytes in biofluids. Nat Protoc 2023:10.1038/s41596-023-00830-x. [PMID: 37208410 DOI: 10.1038/s41596-023-00830-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 03/07/2023] [Indexed: 05/21/2023]
Abstract
Biological research and diagnostic applications normally require analysis of trace analytes in biofluids. Although considerable advancements have been made in developing precise molecular assays, the trade-off between sensitivity and ability to resist non-specific adsorption remains a challenge. Here, we describe the implementation of a testing platform based on a molecular-electromechanical system (MolEMS) immobilized on graphene field-effect transistors. A MolEMS is a self-assembled DNA nanostructure, containing a stiff tetrahedral base and a flexible single-stranded DNA cantilever. Electromechanical actuation of the cantilever modulates sensing events close to the transistor channel, improving signal-transduction efficiency, while the stiff base prevents non-specific adsorption of background molecules present in biofluids. A MolEMS realizes unamplified detection of proteins, ions, small molecules and nucleic acids within minutes and has a limit of detection of several copies in 100 μl of testing solution, offering an assay methodology with wide-ranging applications. In this protocol, we provide step-by-step procedures for MolEMS design and assemblage, sensor manufacture and operation of a MolEMS in several applications. We also describe adaptations to construct a portable detection platform. It takes ~18 h to construct the device and ~4 min to finish the testing from sample addition to result.
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Affiliation(s)
- Xuejun Wang
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai, China
| | - Changhao Dai
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai, China
| | - Yungeng Wu
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai, China
| | - Yunqi Liu
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai, China
| | - Dacheng Wei
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, China.
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai, China.
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7
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Seo SE, Lim SG, Kim KH, Kim J, Shin CJ, Kim S, Kim L, Lee SH, Jang SY, Oh HW, Lee HA, Kim WK, Park YM, Lee KG, Lee SH, Ha S, Kwon OS. Reusable Electronic Tongue Based on Transient Receptor Potential Vanilloid 1 Nanodisc-Conjugated Graphene Field-Effect Transistor for a Spiciness-Related Pain Evaluation. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2206198. [PMID: 36856042 DOI: 10.1002/adma.202206198] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 02/15/2023] [Indexed: 05/12/2023]
Abstract
The sense of spiciness is related to the stimulation of vanilloid compounds contained in the foods. Although, the spiciness is commonly considered as the part of taste, it is more classified to the sense of pain stimulated on a tongue, namely, pungency, which is described as a tingling or burning on the tongue. Herein, first, a reusable electronic tongue based on a transient receptor potential vanilloid 1 (TRPV1) nanodisc conjugated graphene field-effect transistor is fabricated and spiciness-related pain evaluation with reusable electrode is demonstrated. The pungent compound reactive receptor TRPV1 is synthesized in the form of nanodiscs to maintain stability and reusability. The newly developed platform shows highly selective and sensitive performance toward each spiciness related vanilloid compound repeatably: 1 aM capsaicin, 10 aM dihydrocapsaicin, 1 fM piperine, 10 nM allicin, and 1 pM AITC. The binding mechanism is also examined by simulation. Furthermore, the elimination of the burning sensation on the tongue after eating spicy foods is not investigated. Based on the synthesis of micelles composed of casein protein (which is contained in skim milk) that remove pungent compounds bound to TRPV1 nanodisc, the deactivation of TRPV1 is investigated, and the electrode is reusable that mimics electronic tongue.
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Affiliation(s)
- Sung Eun Seo
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-ro, Yuseong-gu, Daejeon, 34141, South Korea
- Department of Nano Engineering, SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon, 16419, South Korea
| | - Seong Gi Lim
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-ro, Yuseong-gu, Daejeon, 34141, South Korea
- Department of Nano Engineering, SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon, 16419, South Korea
| | - Kyung Ho Kim
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-ro, Yuseong-gu, Daejeon, 34141, South Korea
- Department of Nano Engineering, SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon, 16419, South Korea
| | - Jinyeong Kim
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-ro, Yuseong-gu, Daejeon, 34141, South Korea
| | - Chan Jae Shin
- Department of Nano Engineering, SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon, 16419, South Korea
| | - Soomin Kim
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-ro, Yuseong-gu, Daejeon, 34141, South Korea
| | - Lina Kim
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-ro, Yuseong-gu, Daejeon, 34141, South Korea
| | - Seung Hwan Lee
- Department of Bionano Engineering, Center for Bionano Intelligence Education and Research, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan, 15588, South Korea
- Department of Chemical and Biological Engineering, Hanbat National University, 125 Dongseo-daero, Yuseong-gu, Daejeon, 34158, South Korea
| | - Song Yee Jang
- Core Research Facility & Analysis Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-ro, Yuseong-gu, Daejeon, 34141, South Korea
- School of Pharmacy, University of Maryland Eastern Shore, Princess Anne, MD, 21853, United States
| | - Hyun Woo Oh
- Core Research Facility & Analysis Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-ro, Yuseong-gu, Daejeon, 34141, South Korea
- School of Pharmacy, University of Maryland Eastern Shore, Princess Anne, MD, 21853, United States
| | - Hyang-Ae Lee
- Department of Predictive Toxicology, Korea Institute of Toxicology, 141 Gajeong-ro, Yuseong-gu, Daejeon, 34114, South Korea
| | - Woo-Keun Kim
- Department of Predictive Toxicology, Korea Institute of Toxicology, 141 Gajeong-ro, Yuseong-gu, Daejeon, 34114, South Korea
| | - Yoo Min Park
- Center for NanoBio Development, National NanoFab Center, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, South Korea
| | - Kyoung G Lee
- Center for NanoBio Development, National NanoFab Center, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, South Korea
| | - Sang Hun Lee
- Department of Chemical and Biological Engineering, Hanbat National University, 125 Dongseo-daero, Yuseong-gu, Daejeon, 34158, South Korea
| | - Siyoung Ha
- School of Pharmacy, University of Maryland Eastern Shore, Princess Anne, MD, 21853, United States
| | - Oh Seok Kwon
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-ro, Yuseong-gu, Daejeon, 34141, South Korea
- Department of Nano Engineering, SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon, 16419, South Korea
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8
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Nazir S, Kim KH, Kim L, Seo SE, Bae PK, An JE, Kwon OS. Discrimination of the H1N1 and H5N2 Variants of Influenza A Virus Using an Isomeric Sialic Acid-Conjugated Graphene Field-Effect Transistor. Anal Chem 2023; 95:5532-5541. [PMID: 36947869 DOI: 10.1021/acs.analchem.2c04273] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
There has been a continuous effort to fabricate a fast, sensitive, and inexpensive system for influenza virus detection to meet the demand for effective screening in point-of-care testing. Herein, we report a sialic acid (SA)-conjugated graphene field-effect transistor (SA-GFET) sensor designed using α2,3-linked sialic acid (3'-SA) and α2,6-linked sialic acid (6'-SA) for the detection and discrimination of the hemagglutinin (HA) protein of the H5N2 and H1N1 viruses. 3'-SA and 6'-SA specific for H5 and H1 influenza were used in the SA-GFET to capture the HA protein of the influenza virus. The net charge of the captured viral sample led to a change in the electrical current of the SA-GFET platform, which could be correlated to the concentration of the viral sample. This SA-GFET platform exhibited a highly sensitive response in the range of 101-106 pfu mL-1, with a limit of detection (LOD) of 101 pfu mL-1 in buffer solution and a response time of approximately 10 s. The selectivity of the SA-GFET platform for the H1N1 and H5N2 influenza viruses was verified by testing analogous respiratory viruses, i.e., influenza B and the spike protein of SARS-CoV-2 and MERS-CoV, on the SA-GFET. Overall, the results demonstrate that the developed dual-channel SA-GFET platform can potentially serve as a highly efficient and sensitive sensing platform for the rapid detection of infectious diseases.
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Affiliation(s)
- Sophia Nazir
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
- Department of Biotechnology, University of Science and Technology (UST), 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Kyung Ho Kim
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Lina Kim
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Sung Eun Seo
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Pan Kee Bae
- BioNano Health Guard Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Jai Eun An
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Oh Seok Kwon
- SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Nano Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
- Department of Biotechnology, University of Science and Technology (UST), 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
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9
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Zhang R, Hao T, Hu S, Wang K, Ren S, Tian Z, Jia Y. Electrolyte-Gated Graphene Field Effect Transistor-Based Ca 2+ Detection Aided by Machine Learning. SENSORS (BASEL, SWITZERLAND) 2022; 23:353. [PMID: 36616952 PMCID: PMC9824237 DOI: 10.3390/s23010353] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/21/2022] [Accepted: 12/27/2022] [Indexed: 06/17/2023]
Abstract
Flexible electrolyte-gated graphene field effect transistors (Eg-GFETs) are widely developed as sensors because of fast response, versatility and low-cost. However, their sensitivities and responding ranges are often altered by different gate voltages. These bias-voltage-induced uncertainties are an obstacle in the development of Eg-GFETs. To shield from this risk, a machine-learning-algorithm-based LgGFETs' data analyzing method is studied in this work by using Ca2+ detection as a proof-of-concept. For the as-prepared Eg-GFET-Ca2+ sensors, their transfer and output features are first measured. Then, eight regression models are trained with the use of different machine learning algorithms, including linear regression, support vector machine, decision tree and random forest, etc. Then, the optimized model is obtained with the random-forest-method-treated transfer curves. Finally, the proposed method is applied to determine Ca2+ concentration in a calibration-free way, and it is found that the relation between the estimated and real Ca2+ concentrations is close-to y = x. Accordingly, we think the proposed method may not only provide an accurate result but also simplify the traditional calibration step in using Eg-GFET sensors.
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Affiliation(s)
- Rong Zhang
- College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, China
- School of Integrated Circuit Science and Engineering, Tianjin University of Technology, Tianjin 300384, China
| | - Tiantian Hao
- College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, China
| | - Shihui Hu
- College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, China
| | - Kaiyang Wang
- College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, China
| | - Shuhui Ren
- College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, China
| | - Ziwei Tian
- College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, China
| | - Yunfang Jia
- College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, China
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10
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Lim S, Seo SE, Jo S, Kim KH, Kim L, Kwon OS. Highly Efficient Real-Time TRPV1 Screening Methodology for Effective Drug Candidates. ACS OMEGA 2022; 7:36441-36447. [PMID: 36278091 PMCID: PMC9583638 DOI: 10.1021/acsomega.2c04202] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 09/21/2022] [Indexed: 05/26/2023]
Abstract
Transient receptor potential vanilloid 1 (TRPV1) agonists that bind to the vanilloid pocket are being actively studied in the pharmaceutical industry to develop novel treatments for chronic pain and cancer. To discover synthetic vanilloids without the side effect of capsaicin, a time-consuming process of drug candidate selection is essential to a myriad of chemical compounds. Herein, we propose a novel approach to field-effect transistors for the fast and facile screening of lead vanilloid compounds for the development of TRPV1-targeting medications. The graphene field-effect transistor was fabricated with human TRPV1 receptor protein as the bioprobe, and various analyses (SEM, Raman, and FT-IR) were utilized to verify successful manufacture. Simulations of TRPV1 with capsaicin, olvanil, and arvanil were conducted using AutoDock Vina/PyMOL to confirm the binding affinity. The interaction of the ligands with TRPV1 was detected via the fabricated platform, and the collected responses corresponded to the simulation analysis.
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Affiliation(s)
- Seong
Gi Lim
- Infectious
Disease Research Center, Korea Research
Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Sung Eun Seo
- Infectious
Disease Research Center, Korea Research
Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
- Department
of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Seongjae Jo
- Infectious
Disease Research Center, Korea Research
Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Kyung Ho Kim
- Infectious
Disease Research Center, Korea Research
Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Lina Kim
- Infectious
Disease Research Center, Korea Research
Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Oh Seok Kwon
- Infectious
Disease Research Center, Korea Research
Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
- Department
of Biotechnology, University of Science
& Technology (UST), Daejeon 34141, Republic of Korea
- College
of Biotechnology and Bioengineering, Sungkyunkwan
University, Suwon 16419, Republic of Korea
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11
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Wang S, Sun M, Zhang Y, Ji H, Gao J, Song S, Sun J, Liu H, Zhang Y, Han L. Ultrasensitive Antibiotic Perceiving Based on Aptamer-Functionalized Ultraclean Graphene Field-Effect Transistor Biosensor. Anal Chem 2022; 94:14785-14793. [PMID: 36223308 DOI: 10.1021/acs.analchem.2c03732] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Antibiotics are powerful tools to treat bacterial infections, but antibiotic pollution is becoming a severe threat to the effective treatment of human bacterial infections. The detection of antibiotics in water has been a crucial research area for bioassays in recent years. There is still an urgent need for a simple ultrasensitive detection approach to achieve accurate antibiotic detection at low concentrations. Herein, a field-effect transistor (FET)-based biosensor was developed using ultraclean graphene and an aptamer for ultrasensitive tetracycline detection. Using a newly designed camphor-rosin clean transfer (CRCT) scheme to prepare ultraclean graphene, the carrier mobility of the FET is found to be improved by more than 10 times compared with the FET prepared by the conventional PMMA transfer (CPT) method. Based on the FET, aptamer-functionalized transistor antibiotic biosensors were constructed and characterized. A dynamic detection range of 5 orders of magnitude, a sensitivity of 21.7 mV/decade, and a low detection limit of 100 fM are achieved for the CRCT-FET biosensors with good stability, which are much improved compared with the biosensor prepared by the CPT method. The antibiotic sensing and sensing performance enhancement mechanisms for the CRCT-FET biosensor were studied and analyzed based on experimental results and a biosensing model. Finally, the CRCT-FET biosensor was verified by detecting antibiotics in actual samples obtained from the entrances of Bohai Bay.
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Affiliation(s)
- Shun Wang
- Institute of Marine Science and Technology, Shandong University, Qingdao266237, Shandong, China
| | - Mingyuan Sun
- Institute of Marine Science and Technology, Shandong University, Qingdao266237, Shandong, China
| | - Yunhong Zhang
- Institute of Marine Science and Technology, Shandong University, Qingdao266237, Shandong, China
| | - Hao Ji
- Institute of Marine Science and Technology, Shandong University, Qingdao266237, Shandong, China
| | - Jianwei Gao
- Institute of Marine Science and Technology, Shandong University, Qingdao266237, Shandong, China
| | - Shuai Song
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing100049, China
| | - Jun Sun
- College of Marine Science and Technology, China University of Geosciences (Wuhan), Wuhan430074, China
| | - Hong Liu
- State Key Laboratory of Crystal Materials, Shandong University, Jinan250100, Shandong, China
| | - Yu Zhang
- Institute of Marine Science and Technology, Shandong University, Qingdao266237, Shandong, China.,Shenzhen Research Institute of Shandong University, Shenzhen518057, China.,State Key Laboratory of Microbial Technolgoy, Shandong University, Qingdao266237, China
| | - Lin Han
- Institute of Marine Science and Technology, Shandong University, Qingdao266237, Shandong, China.,Shenzhen Research Institute of Shandong University, Shenzhen518057, China.,State Key Laboratory of Microbial Technolgoy, Shandong University, Qingdao266237, China
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12
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Jahromi AK, Shieh H, Low K, Tasnim N, Najjaran H, Hoorfar M. Experimental comparison of direct and indirect aptamer-based biochemical functionalization of electrolyte-gated graphene field-effect transistors for biosensing applications. Anal Chim Acta 2022; 1222:340177. [DOI: 10.1016/j.aca.2022.340177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 11/25/2022]
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13
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Xu L, Ramadan S, Rosa BG, Zhang Y, Yin T, Torres E, Shaforost O, Panagiotopoulos A, Li B, Kerherve G, Kim DK, Mattevi C, Jiao LR, Petrov PK, Klein N. On-chip integrated graphene aptasensor with portable readout for fast and label-free COVID-19 detection in virus transport medium. SENSORS & DIAGNOSTICS 2022; 1:719-730. [PMID: 35923775 PMCID: PMC9280445 DOI: 10.1039/d2sd00076h] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/10/2022] [Indexed: 01/12/2023]
Abstract
Graphene field-effect transistor (GFET) biosensors exhibit high sensitivity due to a large surface-to-volume ratio and the high sensitivity of the Fermi level to the presence of charged biomolecules near the surface. For most reported GFET biosensors, bulky external reference electrodes are used which prevent their full-scale chip integration and contribute to higher costs per test. In this study, GFET arrays with on-chip integrated liquid electrodes were employed for COVID-19 detection and functionalized with either antibody or aptamer to selectively bind the spike proteins of SARS-CoV-2. In the case of the aptamer-functionalized GFET (aptasensor, Apt-GFET), the limit-of-detection (LOD) achieved was about 103 particles per mL for virus-like particles (VLPs) in clinical transport medium, outperforming the Ab-GFET biosensor counterpart. In addition, the aptasensor achieved a LOD of 160 aM for COVID-19 neutralizing antibodies in serum. The sensors were found to be highly selective, fast (sample-to-result within minutes), and stable (low device-to-device signal variation; relative standard deviations below 0.5%). A home-built portable readout electronic unit was employed for simultaneous real-time measurements of 12 GFETs per chip. Our successful demonstration of a portable GFET biosensing platform has high potential for infectious disease detection and other health-care applications.
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Affiliation(s)
- Lizhou Xu
- Department of Materials, Imperial College LondonLondonSW7 2AZUK,ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang UniversityHangzhou311200China
| | - Sami Ramadan
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | | | - Yuanzhou Zhang
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Tianyi Yin
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Elias Torres
- Graphenea SemiconductorPaseo Mikeletegi 83San Sebastián20009Spain
| | - Olena Shaforost
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | | | - Bing Li
- Department of Brain Sciences, Imperial College LondonLondonW12 0BZUK,Care Research & Technology Centre, UK Dementia Research InstituteW12 0BZUK,Institute for Materials Discovery, University College LondonRoberts BuildingLondonWC1E 7JEUK
| | | | - Dong Kuk Kim
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Cecilia Mattevi
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Long R. Jiao
- Department of Hepatobiliary Surgery, Division of Surgery & Cancer, Imperial College LondonHammersmith Hospital Campus, Du Cane RoadLondonW12 0NNUK
| | - Peter K. Petrov
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Norbert Klein
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
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14
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Wireless portable bioelectronic nose device for multiplex monitoring toward food freshness/spoilage. Biosens Bioelectron 2022; 215:114551. [PMID: 35839622 DOI: 10.1016/j.bios.2022.114551] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 06/22/2022] [Accepted: 07/05/2022] [Indexed: 01/07/2023]
Abstract
Monitoring food freshness/spoilage is important to ensure food quality and safety. Current methods of food quality monitoring are mostly time-consuming and labor intensive processes that require massive analytical equipment. In this study, we developed a portable bioelectronic nose (BE-nose) integrated with trace amine-associated receptor (TAAR) nanodiscs (NDs), allowing food quality monitoring via the detection of food spoilage indicators, including the biogenic amines cadaverine (CV) and putrescine (PT). The olfactory receptors TAAR13c and TAAR13d, which have specific affinities for CV and PT, were produced and successfully reconstituted in ND structures. TAAR13 NDs BE-nose-based side-gated field-effect transistor (SG-FET) system was constructed by utilizing a graphene micropattern (GM) into which two types of olfactory NDs (TAAR13c ND and TAAR13d ND) were introduced, and this system showed ultrahigh sensitivity for a limit of detection (LOD) of 1 fM for CV and PT. Moreover, the binding affinities between the TAAR13 NDs and the indicators were confirmed by a tryptophan fluorescence quenching assay and biosimulations, in which the specific binding site was confirmed. Gas-phase indicators were detected by the TAAR13 NDs BE-nose platform, and the LODs for CV and PT were confirmed to be 26.48 and 7.29 ppb, respectively. In addition, TAAR13 NDs BE-nose was fabricated with commercial gas sensors as a portable platform for the measurement of NH3 and H2S, multiplexed monitoring was achieved with similar performance, and the change ratio of the indicators was observed in a real sample. The integration of commercial gas sensors on a BE-nose enhanced the accuracy and reliability for the quality monitoring of real food samples. These results indicate that the portable TAAR13 NDs BE-nose can be used to monitor CV and PT over a wide range of concentrations, therefore, the electronic nose platform can be utilized for monitoring the freshness/spoilage step in various foods.
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15
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Gao J, Wang C, Chu Y, Han Y, Gao Y, Wang Y, Wang C, Liu H, Han L, Zhang Y. Graphene oxide-graphene Van der Waals heterostructure transistor biosensor for SARS-CoV-2 protein detection. Talanta 2022; 240:123197. [PMID: 34996016 PMCID: PMC8719368 DOI: 10.1016/j.talanta.2021.123197] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 12/27/2021] [Accepted: 12/29/2021] [Indexed: 12/27/2022]
Abstract
The current outbreaking of the coronavirus SARS-CoV-2 pandemic threatens global health and has caused serious concern. Currently there is no specific drug against SARS-CoV-2, therefore, a fast and accurate diagnosis method is an urgent need for the diagnosis, timely treatment and infection control of COVID-19 pandemic. In this work, we developed a field effect transistor (FET) biosensor based on graphene oxide-graphene (GO/Gr) van der Waals heterostructure for selective and ultrasensitive SARS-CoV-2 proteins detection. The GO/Gr van der Waals heterostructure was in-situ formed in the microfluidic channel through π-π stacking. The developed biosensor is capable of SARS-CoV-2 proteins detection within 20 min in the large dynamic range from 10 fg/mL to 100 pg/mL with the limit of detection of as low as ∼8 fg/mL, which shows ∼3 × sensitivity enhancement compared with Gr-FET biosensor. The performance enhancement mechanism was studied based on the transistor-based biosensing theory and experimental results, which is mainly attributed to the enhanced SARS-CoV-2 capture antibody immobilization density due to the introduction of the GO layer on the graphene surface. The spiked SARS-CoV-2 protein samples in throat swab buffer solution were tested to confirm the practical application of the biosensor for SARS-CoV-2 proteins detection. The results indicated that the developed GO/Gr van der Waals heterostructure FET biosensor has strong selectivity and high sensitivity, providing a potential method for SARS-CoV-2 fast and accurate detection.
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Affiliation(s)
- Jianwei Gao
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Chunhua Wang
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Yujin Chu
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Yingkuan Han
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Yakun Gao
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Yanhao Wang
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Chao Wang
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Hong Liu
- State Key Laboratory of Crystal Materials, Shandong University, Jinan, Shandong, 250100, China.
| | - Lin Han
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Yu Zhang
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
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16
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Walters F, Burwell G, Mitchell JJ, Ali MM, Daghigh Ahmadi E, Mostert AB, Jenkins CA, Rozhko S, Kazakova O, Guy OJ. A Rapid Graphene Sensor Platform for the Detection of Viral Proteins in Low Volume Samples. ADVANCED NANOBIOMED RESEARCH 2022. [DOI: 10.1002/anbr.202100140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Affiliation(s)
- Ffion Walters
- Centre for NanoHealth, School of Engineering and Applied Sciences Swansea University Swansea SA2 8PP UK
| | - Gregory Burwell
- Department of Physics, School of Biosciences, Geography and Physics Swansea University Swansea SA2 8PP UK
| | - Jacob John Mitchell
- Centre for NanoHealth, School of Engineering and Applied Sciences Swansea University Swansea SA2 8PP UK
- SPTS Technologies Ltd, R&D and Product department Ringland Way Newport NP18 2TA UK
| | - Muhammad Munem Ali
- Centre for NanoHealth, School of Engineering and Applied Sciences Swansea University Swansea SA2 8PP UK
| | - Ehsaneh Daghigh Ahmadi
- Centre for NanoHealth, School of Engineering and Applied Sciences Swansea University Swansea SA2 8PP UK
| | - A. Bernardus Mostert
- Department of Chemistry, School of Engineering and Applied Sciences Swansea University Swansea SA2 8PP UK
| | | | - Sergiy Rozhko
- National Physical Laboratory Quantum Metrology Institute Teddington Middlesex TW11 0LW UK
| | - Olga Kazakova
- National Physical Laboratory Quantum Metrology Institute Teddington Middlesex TW11 0LW UK
| | - Owen J. Guy
- Centre for NanoHealth, School of Engineering and Applied Sciences Swansea University Swansea SA2 8PP UK
- Department of Chemistry, School of Engineering and Applied Sciences Swansea University Swansea SA2 8PP UK
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17
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In-situ food spoilage monitoring using a wireless chemical receptor-conjugated graphene electronic nose. Biosens Bioelectron 2021; 200:113908. [PMID: 34972042 DOI: 10.1016/j.bios.2021.113908] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 11/23/2021] [Accepted: 12/20/2021] [Indexed: 11/20/2022]
Abstract
Monitoring food spoilage is one of the most effective methods for preventing food poisoning caused by biogenic amines or microbes. Therefore, various analytical techniques have been introduced to detect low concentrations of cadaverine (CV) and putrescine (PT), which are representative biogenic polyamines involved in food spoilage (5-8 ppm at the stage of initial decomposition after storage for 5 days at 5 °C and 17-186 ppm at the stage of advanced decomposition after storage for 7 days at 5 °C). Although previous methods showed selective CV and PT detection even at low concentrations, the use of these methods remains challenging in research areas that require in-situ, real-time, on-site monitoring. In this study, we demonstrated for the first time an in-situ high-performance chemical receptor-conjugated graphene electronic nose (CRGE-nose) whose limits of detection (LODs), 27.04 and 7.29 ppb, for CV and PT are up to 102 times more sensitive than those of conventional biogenic amine sensors. Specifically, the novel chemical receptors 2,7-bis(3-morpholinopropyl)benzo[lmn][3,8] phenanthroline-1,3,6,8(2H,7H)-tetraone (NaPhdiMor (NPM)) and 2,7-bis(2-((3-morpholinopropyl)amino)ethyl)benzo[lmn][3,8]phenanthroline-1,3,6,8(2H,7H)-tetraone (NaPhdiEtAmMor (NPEAM)) were designed on the basis of density functional theory (DFT) calculations, and their interaction mechanism was characterized by a DFT 3D simulation. Interestingly, the CRGE-nose was connected on a micro sim chip substrate via wire bonding and then integrated into wireless portable devices, resulting in a cost-effective, high-performance prototype CRGE-nose device capable of on-site detection. The portable CRGE-nose can be used for in-situ monitoring of CV and PT concentration changes as low as 27.04 and 7.29 ppb in real meats such as pork, beef, lamb and chicken.
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18
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Nekrasov N, Jaric S, Kireev D, Emelianov AV, Orlov AV, Gadjanski I, Nikitin PI, Akinwande D, Bobrinetskiy I. Real-time detection of ochratoxin A in wine through insight of aptamer conformation in conjunction with graphene field-effect transistor. Biosens Bioelectron 2021; 200:113890. [PMID: 34953205 DOI: 10.1016/j.bios.2021.113890] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 12/10/2021] [Accepted: 12/13/2021] [Indexed: 12/26/2022]
Abstract
Mycotoxins comprise a frequent type of toxins present in food and feed. The problem of mycotoxin contamination has been recently aggravated due to the increased complexity of the farm-to-fork chains, resulting in negative effects on human and animal health and, consequently, economics. The easy-to-use, on-site, on-demand, and rapid monitoring of mycotoxins in food/feed is highly desired. In this work, we report on an advanced mycotoxin biosensor based on an array of graphene field-effect transistors integrated on a single silicon chip. A specifically designed aptamer against ochratoxin A (OTA) was used as a recognition element, where it was covalently attached to graphene surface via pyrenebutanoic acid, succinimidyl ester (PBASE) chemistry. Namely, an electric field stimulation was used to promote more efficient π-π stacking of PBASE to graphene. The specific G-rich aptamer strand suggest its π-π stacking on graphene in free-standing regime and reconfiguration in G-quadruplex during binding an OTA molecule. This realistic behavior of the aptamer is sensitive to the ionic strength of the analyte solution, demonstrating a 10-fold increase in sensitivity at low ionic strengths. The graphene-aptamer sensors reported here demonstrate fast assay with the lowest detection limit of 1.4 pM for OTA within a response time as low as 10 s, which is more than 30 times faster compared to any other reported aptamer-based methods for mycotoxin detection. The sensors hold comparable performance when operated in real-time within a complex matrix of wine without additional time-consuming pre-treatment.
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Affiliation(s)
- Nikita Nekrasov
- National Research University of Electronic Technology, Moscow, Zelenograd, 124498, Russia.
| | - Stefan Jaric
- BioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, 21000, Serbia.
| | - Dmitry Kireev
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Aleksei V Emelianov
- National Research University of Electronic Technology, Moscow, Zelenograd, 124498, Russia
| | - Alexey V Orlov
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 119991, Moscow, Russia
| | - Ivana Gadjanski
- BioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, 21000, Serbia
| | - Petr I Nikitin
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 119991, Moscow, Russia.
| | - Deji Akinwande
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Ivan Bobrinetskiy
- National Research University of Electronic Technology, Moscow, Zelenograd, 124498, Russia; BioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, 21000, Serbia
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19
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Halima HB, Errachid A, Jaffrezic‐Renault N. Electrochemical Affinity Sensors Using Field Effect Transducer Devices for Chemical Analysis. ELECTROANAL 2021. [DOI: 10.1002/elan.202100451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Hamdi Ben Halima
- University of Lyon Institute of Analytical Sciences 69100 Villeurbanne France
| | - Abdelhamid Errachid
- University of Lyon Institute of Analytical Sciences 69100 Villeurbanne France
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