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Formation of miRNA Nanoprobes-Conjugation Approaches Leading to the Functionalization. Molecules 2022; 27:molecules27238428. [PMID: 36500520 PMCID: PMC9739806 DOI: 10.3390/molecules27238428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/25/2022] [Accepted: 11/25/2022] [Indexed: 12/05/2022] Open
Abstract
Recently, microRNAs (miRNA) captured the interest as novel diagnostic and prognostic biomarkers, with their potential for early indication of numerous pathologies. Since miRNA is a short, non-coding RNA sequence, the sensitivity and selectivity of their detection remain a cornerstone of scientific research. As such, methods based on nanomaterials have emerged in hopes of developing fast and facile approaches. At the core of the detection method based on nanotechnology lie nanoprobes and other functionalized nanomaterials. Since miRNA sensing and detection are generally rooted in the capture of target miRNA with the complementary sequence of oligonucleotides, the sequence needs to be attached to the nanomaterial with a specific conjugation strategy. As each nanomaterial has its unique properties, and each conjugation approach presents its drawbacks and advantages, this review offers a condensed overview of the conjugation approaches in nanomaterial-based miRNA sensing. Starting with a brief recapitulation of specific properties and characteristics of nanomaterials that can be used as a substrate, the focus is then centered on covalent and non-covalent bonding chemistry, leading to the functionalization of the nanomaterials, which are the most commonly used in miRNA sensing methods.
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Bioprobes-regulated precision biosensing of exosomes: From the nanovesicle surface to the inside. Coord Chem Rev 2022. [DOI: 10.1016/j.ccr.2022.214538] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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3
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Sun Z, Tong Y, Zhou X, Li J, Zhao L, Li H, Wang C, Du L, Jiang Y. Ratiometric Fluorescent Biosensor Based on Forster Resonance Energy Transfer between Carbon Dots and Acridine Orange for miRNA Analysis. ACS OMEGA 2021; 6:34150-34159. [PMID: 34926963 PMCID: PMC8675165 DOI: 10.1021/acsomega.1c05901] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 11/22/2021] [Indexed: 06/14/2023]
Abstract
The expression level of miRNA is highly correlated with the pathological process of malignant tumors. Therefore, the abnormal expression of miRNA in serum is considered as reliable evidence for the existence of tumor cells. Here, a ratiometric fluorescent biosensor based on the Forster resonance energy transfer between fluorophores is proposed for detecting colorectal cancer-specific miRNA (miR-92a-3p). The miRNA in serum was first isolated by carboxyl-modified SiO2 microspheres. Then, the addition of miRNA to the detection system resulted in the distance change between the donor acridine orange (AO) and the acceptor fluorescent carbon dots (CDs), which made the fluorescence signal change. The physicochemical properties, especially the fluorescence characteristics of CDs and AO, which enabled the ratiometric fluorescence detection, were comprehensively studied. The ratiometric fluorescent biosensor could detect miRNA in the concentration range of 1-9 nM and showed a detection limit of 0.14 nM. Moreover, the ratiometric fluorescent biosensor exhibited high selectivity for the target miRNA. The validity of the ratiometric fluorescent biosensor was also verified using the serum sample, demonstrating its potential for enzyme-free miRNA analysis.
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Affiliation(s)
- Zhiwei Sun
- Key
Laboratory for Liquid−Solid Structural Evolution and Processing
of Materials, Ministry of Education, Shandong
University, Jinan 250061, China
- Shenzhen
Research Institute of Shandong University, Shenzhen 518057, China
| | - Yao Tong
- Department
of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250033, China
| | - Xiaoyu Zhou
- Key
Laboratory for Liquid−Solid Structural Evolution and Processing
of Materials, Ministry of Education, Shandong
University, Jinan 250061, China
| | - Juan Li
- Department
of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250033, China
| | - Li Zhao
- Key
Laboratory for Liquid−Solid Structural Evolution and Processing
of Materials, Ministry of Education, Shandong
University, Jinan 250061, China
| | - Hui Li
- Key
Laboratory for Liquid−Solid Structural Evolution and Processing
of Materials, Ministry of Education, Shandong
University, Jinan 250061, China
| | - Chuanxin Wang
- Department
of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250033, China
- Shandong
Engineering & Technology Research Center for Tumor Marker Detection, Jinan 250033, China
- Shandong
Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan 250033, China
| | - Lutao Du
- Department
of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250033, China
| | - Yanyan Jiang
- Key
Laboratory for Liquid−Solid Structural Evolution and Processing
of Materials, Ministry of Education, Shandong
University, Jinan 250061, China
- Shenzhen
Research Institute of Shandong University, Shenzhen 518057, China
- Suzhou Institute
of Shandong University, Suzhou 215123, China
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Usha SP, Manoharan H, Deshmukh R, Álvarez-Diduk R, Calucho E, Sai VVR, Merkoçi A. Attomolar analyte sensing techniques (AttoSens): a review on a decade of progress on chemical and biosensing nanoplatforms. Chem Soc Rev 2021; 50:13012-13089. [PMID: 34673860 DOI: 10.1039/d1cs00137j] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Detecting the ultra-low abundance of analytes in real-life samples, such as biological fluids, water, soil, and food, requires the design and development of high-performance biosensing modalities. The breakthrough efforts from the scientific community have led to the realization of sensing technologies that measure the analyte's ultra-trace level, with relevant sensitivity, selectivity, response time, and sampling efficiency, referred to as Attomolar Analyte Sensing Techniques (AttoSens) in this review. In an AttoSens platform, 1 aM detection corresponds to the quantification of 60 target analyte molecules in 100 μL of sample volume. Herein, we review the approaches listed for various sensor probe design, and their sensing strategies that paved the way for the detection of attomolar (aM: 10-18 M) concentration of analytes. A summary of the technological advances made by the diverse AttoSens trends from the past decade is presented.
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Affiliation(s)
- Sruthi Prasood Usha
- Biomedical Engineering, Department of Applied Mechanics, Indian Institute of Technology Madras (IITM), India.
| | - Hariharan Manoharan
- Biomedical Engineering, Department of Applied Mechanics, Indian Institute of Technology Madras (IITM), India.
| | - Rehan Deshmukh
- Biomedical Engineering, Department of Applied Mechanics, Indian Institute of Technology Madras (IITM), India.
| | - Ruslan Álvarez-Diduk
- Nanobioelectronics & Biosensors Group, Institut Català de Nanociència i Nanotecnologia (ICN2), Campus UAB, Barcelona, Spain.
| | - Enric Calucho
- Nanobioelectronics & Biosensors Group, Institut Català de Nanociència i Nanotecnologia (ICN2), Campus UAB, Barcelona, Spain.
| | - V V R Sai
- Biomedical Engineering, Department of Applied Mechanics, Indian Institute of Technology Madras (IITM), India.
| | - Arben Merkoçi
- Nanobioelectronics & Biosensors Group, Institut Català de Nanociència i Nanotecnologia (ICN2), Campus UAB, Barcelona, Spain. .,ICREA, Institució Catalana de Recercai Estudis Avançats, Barcelona, Spain
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Li S, Pang C, Ma X, Zhang Y, Xu Z, Li J, Zhang M, Wang M. Microfluidic paper-based chip for parathion-methyl detection based on a double catalytic amplification strategy. Mikrochim Acta 2021; 188:438. [PMID: 34839414 DOI: 10.1007/s00604-021-05084-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 10/28/2021] [Indexed: 01/24/2023]
Abstract
The rapid detection of insecticides such as parathion-methyl (PM) requires methods with high sensitivities and selectivities. Herein, a dual catalytic amplification strategy was developed using Fe3O4 nanozyme-supported carbon quantum dots and silver terephthalate metal-organic frameworks (Fe3O4/C-dots@Ag-MOFs) as current amplification elements. Based on this strategy, a novel electrochemical microfluidic paper-based chip was designed to detect PM. Fe3O4/C-dots@Ag-MOFs were synthesised by a hydrothermal method, and a molecularly imprinted polymer (MIP) was then synthesised on the surface of Fe3O4/C-dots@Ag-MOFs using PM as a template molecule. Finally, the reaction zone of a chip was modified with MIP/Fe3O4/C-dots@Ag-MOFs. PM from a sample introduced into the reaction zone was captured by the MIP, which generated a reduction current response at - 0.53 V in a three-electrode system embedded in the chip. Simultaneous catalysis by Fe3O4/C-dots and Ag-MOFs significantly enhanced the signal. The chip had a detection limit of 1.16 × 10-11 mol L-1 and was successfully applied to the determination of PM in agricultural products and environmental samples with recovery rates ranging from 82.7 to 109%, with a relative standard deviation (RSD) of less than 5.0%. This approach of combining a dual catalytic amplification strategy with an MIP significantly increased the sensitivity as well as selectivity of chips and can potentially be used to detect a wide variety of target analytes using microfluidic paper-based chips.
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Affiliation(s)
- Shuhuai Li
- Analysis and Test Center of Chinese Academy of Tropical Agricultural Sciences, Hainan Provincial Key Laboratory of Quality and Safety for Tropical Fruits and Vegetables, Haikou, 571101, China.
| | - Chaohai Pang
- Analysis and Test Center of Chinese Academy of Tropical Agricultural Sciences, Hainan Provincial Key Laboratory of Quality and Safety for Tropical Fruits and Vegetables, Haikou, 571101, China
| | - Xionghui Ma
- Analysis and Test Center of Chinese Academy of Tropical Agricultural Sciences, Hainan Provincial Key Laboratory of Quality and Safety for Tropical Fruits and Vegetables, Haikou, 571101, China
| | - Yanling Zhang
- Analysis and Test Center of Chinese Academy of Tropical Agricultural Sciences, Hainan Provincial Key Laboratory of Quality and Safety for Tropical Fruits and Vegetables, Haikou, 571101, China
| | - Zhi Xu
- Analysis and Test Center of Chinese Academy of Tropical Agricultural Sciences, Hainan Provincial Key Laboratory of Quality and Safety for Tropical Fruits and Vegetables, Haikou, 571101, China.
| | - Jianping Li
- College of Chemistry and Bioengineering, Guilin University of Technology, Guilin, 541004, China
| | - Meng Zhang
- School of Electronic and Information Engineering, Beihang University, Beijing, 100191, China
| | - Mingyue Wang
- Analysis and Test Center of Chinese Academy of Tropical Agricultural Sciences, Hainan Provincial Key Laboratory of Quality and Safety for Tropical Fruits and Vegetables, Haikou, 571101, China.
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Li Q, Bencherif SA, Su M. Edge-Enhanced Microwell Immunoassay for Highly Sensitive Protein Detection. Anal Chem 2021; 93:10292-10300. [PMID: 34251806 DOI: 10.1021/acs.analchem.1c01754] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Highly sensitive biosensors that can detect low concentrations of protein biomarkers at the early stages of diseases or proteins secreted from single cells are of importance for disease diagnosis and treatment assessment. This work reports a new signal amplification mechanism, that is, edge enhancement based on the vertical sidewalls of microwells for ultra-sensitive protein detection. The fluorescence emission at the edge of the microwells is highly amplified due to the microscopic axial resolution (depth of field) and demonstrates a microring effect. The enhanced fluorescence intensity from microrings is calibrated for bovine serum albumin detection, which shows a 6-fold sensitivity enhancement and a lower limit of detection at the microwell edge, compared to those obtained on a flat surface. The microwell chip is used to separate single cells, and the wall of each microwell is used to detect interferon-γ secretion from T cells stimulated with a peptide and whole cancer cells. Given its edge-enhancement ability, the microwell technique can be a highly sensitive biosensing platform for disease diagnosis at an early stage and for assessing potential treatments at the single-cell level.
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Affiliation(s)
- Qingxuan Li
- Department of Chemical Engineering, Northeastern University, Boston, Massachusetts 02115, United States
| | - Sidi A Bencherif
- Department of Chemical Engineering, Northeastern University, Boston, Massachusetts 02115, United States.,Department of Bioengineering, Northeastern University, Boston, Massachusetts 02115, United States
| | - Ming Su
- Department of Chemical Engineering, Northeastern University, Boston, Massachusetts 02115, United States
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Wu W, Yu X, Wu J, Wu T, Fan Y, Chen W, Zhao M, Wu H, Li X, Ding S. Surface plasmon resonance imaging-based biosensor for multiplex and ultrasensitive detection of NSCLC-associated exosomal miRNAs using DNA programmed heterostructure of Au-on-Ag. Biosens Bioelectron 2020; 175:112835. [PMID: 33246677 DOI: 10.1016/j.bios.2020.112835] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 10/28/2020] [Accepted: 11/19/2020] [Indexed: 12/20/2022]
Abstract
Exosomal miRNAs are potential tumor biomarkers for early diagnosis of non-small cell lung cancer (NSCLC). Herein, a surface plasmon resonance imaging (SPRi)-based biosensor was developed for simultaneous detection of multiplex NSCLC-associated exosomal miRNAs in a clinical sample using Au-on-Ag heterostructure and DNA tetrahedral framework (DTF). Exosomal miRNAs are captured by various DTF probes immobilized on the gold array chip. Subsequently, single-stranded DNA (ssDNA) functionalized silver nanocube (AgNC) hybridizes with the captured exosomal miRNAs and then the ssDNA-coated Au nanoparticles assembled on the surface of AgNC, forming Au-on-Ag heterostructures as essential labels to realize amplified SPR response. With the aid of DNA programmed Au-on-Ag heterostructure and DTF, the SPRi-based biosensor exhibits wide detection range from 2 fM to 20 nM, ultralow limit of detection of 1.68 fM, enhanced capture efficiency, and improved antifouling capability. Furthermore, the biosensor enables accurate discrimination of NSCLC patients based on detection results of exosomal miRNAs. Overall, this developed biosensor is a promising tool for multiplex exosomal miRNAs detection, providing a new possibility for early diagnosis of NSCLC.
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Affiliation(s)
- Wenwen Wu
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Xiaolin Yu
- Department of Laboratory Medicine, Zigong Fourth People's Hospital, Sichuan, 643000, China
| | - Jiangling Wu
- Department of Clinical Laboratory, University-Town Hospital of Chongqing Medical University, Chongqing, 401331, China
| | - Tao Wu
- Department of Laboratory Medicine, Zigong Fourth People's Hospital, Sichuan, 643000, China
| | - Yunpeng Fan
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Wenqin Chen
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Min Zhao
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Haiping Wu
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Xinmin Li
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China.
| | - Shijia Ding
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China.
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