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Wang Y, Yang F, Fu Y, He X, Tian H, Yang L, Wu M, Cao J, Liu J. A point-of-care testing platform for on-site identification of genetically modified crops. LAB ON A CHIP 2024; 24:2622-2632. [PMID: 38644672 DOI: 10.1039/d4lc00040d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Genetically modified (GM) food is still highly controversial nowadays. Due to the disparate policies and attitudes worldwide, demands for a rapid, cost-effective and user-friendly GM crop identification method are increasingly significant for import administration, market supervision, etc. However, as the most-recognized methods, nucleic acid-based identification approaches require bulky instruments, long turn-around times and trained personnel, which are only suitable in laboratories. To fulfil the urgent needs of on-site testing, we develop a point-of-care testing platform that is able to identify 12 types of GM crops in less than 40 minutes without using laboratory settings. Our system integrates sample pre-treatment modules in a microfluidic chip, performs DNA amplification via a battery-powered portable kit, and presents results via eye-recognized colorimetric change. A paraffin-based reflow method and a slip plate-based fluid switch are developed to encapsulate and release amplification primers in individual microwells on demand, thus enabling identification of varied targets simultaneously. Our system offers an efficient, affordable and convenient tool for GM crop identification, thus it will not only benefit customs and market administration bureaus, but also satisfy demands of numerous consumers.
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Affiliation(s)
- Yangyang Wang
- State Key Laboratory of High-Performance Precision Manufacturing, Dalian University of Technology, Dalian, 116024, China.
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, Liaoning, 116024, China
| | - Furui Yang
- State Key Laboratory of High-Performance Precision Manufacturing, Dalian University of Technology, Dalian, 116024, China.
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, Liaoning, 116024, China
| | - Yingyi Fu
- State Key Laboratory of High-Performance Precision Manufacturing, Dalian University of Technology, Dalian, 116024, China.
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, Liaoning, 116024, China
| | - Xin He
- State Key Laboratory of High-Performance Precision Manufacturing, Dalian University of Technology, Dalian, 116024, China.
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, Liaoning, 116024, China
| | - Haowei Tian
- State Key Laboratory of High-Performance Precision Manufacturing, Dalian University of Technology, Dalian, 116024, China.
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, Liaoning, 116024, China
| | - Lili Yang
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China.
| | - Mengxi Wu
- State Key Laboratory of High-Performance Precision Manufacturing, Dalian University of Technology, Dalian, 116024, China.
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, Liaoning, 116024, China
| | - Jijuan Cao
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China.
| | - Junshan Liu
- State Key Laboratory of High-Performance Precision Manufacturing, Dalian University of Technology, Dalian, 116024, China.
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, Liaoning, 116024, China
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2
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Qiu Y, You A, Zhang M, Cui H, Fu X, Wang J, Huang H, Shentu X, Ye Z, Yu X. Phage-displayed nanobody-based fluorescence-linked immunosorbent assay for the detection of Cry3Bb toxin in corn. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.114094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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3
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Tavakoli H, Hirth E, Luo M, Sharma Timilsina S, Dou M, Dominguez DC, Li X. A microfluidic fully paper-based analytical device integrated with loop-mediated isothermal amplification and nano-biosensors for rapid, sensitive, and specific quantitative detection of infectious diseases. LAB ON A CHIP 2022; 22:4693-4704. [PMID: 36349548 PMCID: PMC9701502 DOI: 10.1039/d2lc00834c] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Bacterial meningitis, an infection of the membranes (meninges) and cerebrospinal fluid (CSF) surrounding the brain and spinal cord, is one of the major causes of death and disability worldwide. Higher case-fatality rates and short survival times have been reported in developing countries. Hence, a quick, straightforward, and low-cost approach is in great demand for the diagnosis of meningitis. In this research, a microfluidic fully paper-based analytical device (μFPAD) integrated with loop-mediated isothermal amplification (LAMP) and ssDNA-functionalized graphene oxide (GO) nano-biosensors was developed for the first time for a simple, rapid, low-cost, and quantitative detection of the main meningitis-causing bacteria, Neisseria meningitidis (N. meningitidis). The results can be successfully read within 1 hour with the limit of detection (LOD) of 6 DNA copies per detection zone. This paper device also offers versatile functions by providing a qualitative diagnostic analysis (i.e., a yes or no answer), confirmatory testing, and quantitative analysis. These features make the presented μFPAD capable of a simple, highly sensitive, and specific diagnosis of N. meningitis. Furthermore, this microfluidic approach has great potential in the rapid detection of a wide variety of different other pathogens in low-resource settings.
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Affiliation(s)
- Hamed Tavakoli
- Department of Chemistry and Biochemistry, University of Texas at El Paso, El Paso, Texas, 79968, USA.
| | - Elisabeth Hirth
- Department of Chemistry and Biochemistry, University of Texas at El Paso, El Paso, Texas, 79968, USA.
- Department of Chemistry, University of Aalen, Beethovenstraße 1, 73430 Aalen, Germany
| | - Man Luo
- Department of Chemistry and Biochemistry, University of Texas at El Paso, El Paso, Texas, 79968, USA.
| | - Sanjay Sharma Timilsina
- Department of Chemistry and Biochemistry, University of Texas at El Paso, El Paso, Texas, 79968, USA.
| | - Maowei Dou
- Department of Chemistry and Biochemistry, University of Texas at El Paso, El Paso, Texas, 79968, USA.
| | - Delfina C Dominguez
- College of Health Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - XiuJun Li
- Department of Chemistry and Biochemistry, University of Texas at El Paso, El Paso, Texas, 79968, USA.
- Border Biomedical Research Center, Biomedical Engineering, University of Texas at El Paso, El Paso, 79968, USA
- Environmental Science and Engineering, University of Texas at El Paso, El Paso, 79968, USA
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4
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Novel insights into Graphene oxide-based adsorbents for remediation of hazardous pollutants from aqueous solutions: A comprehensive review. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.120821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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5
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Huang J, Wei F, Cui Y, Hou L, Lin T. Fluorescence immunosensor based on functional nanomaterials and its application in tumor biomarker detection. RSC Adv 2022; 12:31369-31379. [PMID: 36349017 PMCID: PMC9624183 DOI: 10.1039/d2ra04989a] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 10/19/2022] [Indexed: 09/29/2023] Open
Abstract
An immunosensor is defined as an analytical device that detects the binding of an antigen to its specific antibody by coupling an immunochemical reaction to the surface of a device called a transducer. Fluorescence immunosensing is one of the most promising immunoassays at present, and has the advantages of simple operation, fast response and high stability. A traditional fluorescence immunosensor often uses an enzyme-labelled antibody as a recognition unit and an organic dye as a fluorescence probe, so it is easily affected by environmental factors with low sensitivity. Nanomaterials have unique photostability, catalytic properties and biocompatibility, which open up a new path for the construction of stable and sensitive fluorescence immunosensors. This paper briefly introduces different kinds of immunosensors and the role of nanomaterials in the construction of immunosensors. The significance of fluorescent immunosensors constructed from functional nanomaterials to detect tumor biomarkers was analyzed, and the strategies to further improve the performance of fluorescent immunosensors and their future development trend were summarized.
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Affiliation(s)
- Juanjuan Huang
- School of Chemistry and Pharmaceutical Science, State Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University Guilin 541004 P. R. China
| | - Fenghuang Wei
- School of Chemistry and Pharmaceutical Science, State Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University Guilin 541004 P. R. China
| | - Yuling Cui
- Jinan Center for Food and Drug Control Jinan 250102 Shandong China
| | - Li Hou
- School of Chemistry and Pharmaceutical Science, State Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University Guilin 541004 P. R. China
| | - Tianran Lin
- School of Chemistry and Pharmaceutical Science, State Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University Guilin 541004 P. R. China
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Huang J, Yao Y, Chen Y, Lin T, Hou L, Tang D. Polydopamine-Functionalized Copper Peroxide/ZIF-8 Nanoparticle-Based Fluorescence-Linked Immunosorbent Assay for the Sensitive Determination of Carcinoembryonic Antigen by Self-Supplied H 2O 2 Generation. BIOSENSORS 2022; 12:830. [PMID: 36290967 PMCID: PMC9599728 DOI: 10.3390/bios12100830] [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: 09/03/2022] [Revised: 09/30/2022] [Accepted: 10/01/2022] [Indexed: 06/16/2023]
Abstract
Copper peroxide/zeolitic imidazolate framework/polydopamine nanoparticles (CP/ZIF-8/PDA)-based fluorescence-linked immunosorbent assay (FLISA) was designed for the sensitive and high-throughput determination of carcinoembryonic antigen (CEA) by self-supplied H2O2 generation. Specifically, the CEA aptamer was modified on the surface of CP/ZIF-8/PDA to form an immunoprobe. The structures of CP and ZIF-8 could be broken under acidic conditions, and produced the Cu2+ and H2O2 due to the dissociation the CP. A subsequent Fenton-type reaction of Cu2+ and H2O2 generated hydroxyl radical (·OH). o-phenylenediamine (OPD) was oxidized by the ·OH to form 2, 3-diaminophenazine (DPA) with a significant fluorescence signal. CP/ZIF-8/PDA could be used as an efficient Fenton-type reactant to generate a large amount of ·OH to promote OPD oxidation. The sensitive detection of CEA could be realized. Under optimal conditions, the FLISA platform displayed a linear detection range from 0.01 to 20 ng mL-1 with a detection limit of 7.6 pg mL-1 for CEA. This strategy has great application potential for sensitive and high-throughput determination for other biomarkers in the field of biomedicine.
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Affiliation(s)
- Juanjuan Huang
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, China
| | - Yiyun Yao
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, China
| | - Yanling Chen
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, China
| | - Tianran Lin
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, China
| | - Li Hou
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, China
| | - Dianping Tang
- Key Laboratory of Analytical Science for Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou 350108, China
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7
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Nano-labeled materials as detection tags for signal amplification in immunochromatographic assay. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116673] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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8
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Li K, Lei Z, Zhang C, Zhu L, Huang K, Shang Y, Xu W. Graphene oxide nanosheet-mediated fluorescent RPA "turn-on" biosensor for rapid RNAi transgenic plant detection. Anal Chim Acta 2022; 1189:339222. [PMID: 34815046 DOI: 10.1016/j.aca.2021.339222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/11/2021] [Accepted: 10/26/2021] [Indexed: 11/01/2022]
Abstract
In this paper preliminarily verified that graphene oxide (GO) nanomaterials enhanced the recombinase polymerase amplification (RPA). GO nanosheets improved the efficiency of RPA amplification by absorbing ingredients to induce local aggregation. The recombinase initially aggregated with the primers to form nucleoprotein filaments, absorbed on the GO nanosheets, changing the structure. Therefore, an isothermal fluorescence biosensor was developed based on GO nanosheets enhanced the RPA to detect RNA interference (RNAi) transgenic plants. FAM-labeled primers were absorbed and quenched by the GO nanosheets. After amplification, the primers were extended into double-stranded DNA, detaching from the GO surface to recover the fluorescent signal. The biosensor displayed high sensitivity and selectivity and showed an excellent relationship ranging from 1.5 to 100 ng of genome DNA, with a detection limit (LOD) of 1.5 ng. Consequently, the biosensor provides an enhanced isothermal method for detecting genetically modified (GM) products and exhibits significant potential for molecular detection.
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Affiliation(s)
- Kai Li
- Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) (MOA), Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutrition Engineering, China Agricultural University, Beijing, 100191, China
| | - Zhan Lei
- Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China
| | - Chen Zhang
- Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China
| | - Longjiao Zhu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health(Institute of Nutrition and Health), China Agricultural University, Beijing 100083, China
| | - Kunlun Huang
- Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) (MOA), Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutrition Engineering, China Agricultural University, Beijing, 100191, China.
| | - Ying Shang
- Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China
| | - Wentao Xu
- Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) (MOA), Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutrition Engineering, China Agricultural University, Beijing, 100191, China; Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health(Institute of Nutrition and Health), China Agricultural University, Beijing 100083, China.
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9
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Graphene-Based Materials for Efficient Neurogenesis. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1351:43-64. [DOI: 10.1007/978-981-16-4923-3_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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10
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Joshi DJ, Koduru JR, Malek NI, Hussain CM, Kailasa SK. Surface modifications and analytical applications of graphene oxide: A review. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116448] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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11
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Raghavan VS, O'Driscoll B, Bloor JM, Li B, Katare P, Sethi J, Gorthi SS, Jenkins D. Emerging graphene-based sensors for the detection of food adulterants and toxicants - A review. Food Chem 2021; 355:129547. [PMID: 33773454 DOI: 10.1016/j.foodchem.2021.129547] [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: 11/24/2020] [Revised: 02/25/2021] [Accepted: 03/04/2021] [Indexed: 02/06/2023]
Abstract
The detection of food adulterants and toxicants can prevent a large variety of adverse health conditions for the global population. Through the process of rapid sensing enabled by deploying novel and robust sensors, the food industry can assist in the detection of adulterants and toxicants at trace levels. Sensor platforms which exploit graphene-based nanomaterials satisfy this requirement due to outstanding electrical, optical and thermal properties. The materials' facile conjugation with linkers and biomolecules along with the option for further enhancement using nanoparticles results in highly sensitive and selective sensing characteristics. This review highlights novel applications of graphene derivatives for detection covering three important approaches; optical, electrical (field-effect) and electrochemical sensing. Suitable graphene-based sensors for portable devices as point-of-need platforms are also presented. The future scope of these sensors is discussed to showcase how these emerging techniques will disrupt the food detection sector for years to come.
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Affiliation(s)
- Vikram Srinivasa Raghavan
- Optics and Microfluidics Instrumentation Lab, Department of Instrumentation and Applied Physics, Indian Institute of Science, Bangalore 560012, India.
| | - Benjamin O'Driscoll
- Wolfson Nanomaterials & Devices Laboratory, School of Engineering, Computing and Mathematics, Plymouth University, Devon PL4 8AA, UK
| | - J M Bloor
- Wolfson Nanomaterials & Devices Laboratory, School of Engineering, Computing and Mathematics, Plymouth University, Devon PL4 8AA, UK
| | - Bing Li
- Department of Brain Sciences, Imperial College, London W12 0NN, UK
| | - Prateek Katare
- Optics and Microfluidics Instrumentation Lab, Department of Instrumentation and Applied Physics, Indian Institute of Science, Bangalore 560012, India
| | - Jagriti Sethi
- Wolfson Nanomaterials & Devices Laboratory, School of Engineering, Computing and Mathematics, Plymouth University, Devon PL4 8AA, UK
| | - Sai Siva Gorthi
- Optics and Microfluidics Instrumentation Lab, Department of Instrumentation and Applied Physics, Indian Institute of Science, Bangalore 560012, India
| | - David Jenkins
- Wolfson Nanomaterials & Devices Laboratory, School of Engineering, Computing and Mathematics, Plymouth University, Devon PL4 8AA, UK
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12
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Huang GL, Sun LX, Ma JJ, Sui SY, Wang YN. Anti-polyphenol oxidase properties of total flavonoids from young loquat fruits: inhibitory activity and mechanism. Bioengineered 2021; 12:640-647. [PMID: 33587004 PMCID: PMC8806263 DOI: 10.1080/21655979.2021.1886387] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
This study investigated anti-polyphenol oxidase activity and mechanism of purified total flavonoids (PTF) from young loquat fruits. PTF remarkably inhibited the activity of polyphenol oxidase (PPO) with an IC50 value of 21.03 ± 2.37 μg/mL. Based on enzyme kinetics, PTF was found to be a potent, mixed-type, and reversible inhibitor of PPO. The fluorescence intensity of PPO was quenched by PTF through forming a PTF-PPO complex in a static procedure. Therefore, this study authenticated PTF as an efficient PPO inhibitor, which would contribute to their utilization in food industry.
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Affiliation(s)
- Gui-Li Huang
- Agricultural Product Storage and Processing Laboratory, Suzhou Academy of Agricultural Sciences , Suzhou, China
| | - Ling-Xiang Sun
- Agricultural Product Storage and Processing Laboratory, Suzhou Academy of Agricultural Sciences , Suzhou, China
| | - Jia-Jia Ma
- Agricultural Product Storage and Processing Laboratory, Suzhou Academy of Agricultural Sciences , Suzhou, China
| | - Si-Yao Sui
- Agricultural Product Storage and Processing Laboratory, Suzhou Academy of Agricultural Sciences , Suzhou, China
| | - Yu-Ning Wang
- Agricultural Product Storage and Processing Laboratory, Suzhou Academy of Agricultural Sciences , Suzhou, China.,Jiangsu Key Laboratory for Biomass Energy and Material, Institute of Chemical Industry of Forest Products CAF , Nanjing, China
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Esmaeili Y, Bidram E, Zarrabi A, Amini A, Cheng C. Graphene oxide and its derivatives as promising In-vitro bio-imaging platforms. Sci Rep 2020; 10:18052. [PMID: 33093483 PMCID: PMC7582845 DOI: 10.1038/s41598-020-75090-w] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 09/10/2020] [Indexed: 12/29/2022] Open
Abstract
Intrinsic fluorescence and versatile optical properties of Graphene Oxide (GO) in visible and near-infrared range introduce this nanomaterial as a promising candidate for numerous clinical applications for early-diagnose of diseases. Despite recent progresses in the impact of major features of GO on the photoluminescence properties of GO, their modifications have not yet systematically understood. Here, to study the modification effects on the fluorescence behavior, poly ethylene glycol (PEG) polymer, metal nanoparticles (Au and Fe3O4) and folic acid (FA) molecules were used to functionalize the GO surface. The fluorescence performances in different environments (water, DMEM cell media and phosphate buffer with two different pH values) were assessed through fluorescence spectroscopy and fluorescent microscopy, while Fourier-transform infrared spectroscopy (FTIR) and X-ray diffraction (XRD) and Scanning electron microscopy (SEM) were utilized to evaluate the modifications of chemical structures. The modification of GO with desired molecules improved the photoluminescence property. The synthesized platforms of GO-PEG, GO-PEG-Au, GO-PEG-Fe3O4 and GO-PEG-FA illustrated emissions in three main fluorescence regions (blue, green and red), suitable for tracing and bio-imaging purposes. Considering MTT results, these platforms potentially positioned themselves as non-invasive optical sensors for the diagnosis alternatives of traditional imaging agents.
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Affiliation(s)
- Yasaman Esmaeili
- Faculty of Advanced Sciences and Technologies, University of Isfahan, Isfahan, Iran
| | - Elham Bidram
- Biosensor Research Center, Department of Biomaterials, Nanotechnology, and Tissue Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Ali Zarrabi
- Nanotechnology Research and Application Center (SUNUM), Sabanci University, 34956, Tuzla, Istanbul, Turkey
| | - Abbas Amini
- Department of Mechanical Engineering, Australian College of Kuwait, 13015, Mishref, Safat, Kuwait.
| | - Chun Cheng
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, China
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