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Lyu N, Hassanzadeh-Barforoushi A, Rey Gomez LM, Zhang W, Wang Y. SERS biosensors for liquid biopsy towards cancer diagnosis by detection of various circulating biomarkers: current progress and perspectives. NANO CONVERGENCE 2024; 11:22. [PMID: 38811455 PMCID: PMC11136937 DOI: 10.1186/s40580-024-00428-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 05/09/2024] [Indexed: 05/31/2024]
Abstract
Liquid biopsy has emerged as a promising non-invasive strategy for cancer diagnosis, enabling the detection of various circulating biomarkers, including circulating tumor cells (CTCs), circulating tumor nucleic acids (ctNAs), circulating tumor-derived small extracellular vesicles (sEVs), and circulating proteins. Surface-enhanced Raman scattering (SERS) biosensors have revolutionized liquid biopsy by offering sensitive and specific detection methodologies for these biomarkers. This review comprehensively examines the application of SERS-based biosensors for identification and analysis of various circulating biomarkers including CTCs, ctNAs, sEVs and proteins in liquid biopsy for cancer diagnosis. The discussion encompasses a diverse range of SERS biosensor platforms, including label-free SERS assay, magnetic bead-based SERS assay, microfluidic device-based SERS system, and paper-based SERS assay, each demonstrating unique capabilities in enhancing the sensitivity and specificity for detection of liquid biopsy cancer biomarkers. This review critically assesses the strengths, limitations, and future directions of SERS biosensors in liquid biopsy for cancer diagnosis.
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Affiliation(s)
- Nana Lyu
- School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | | | - Laura M Rey Gomez
- School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - Wei Zhang
- School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - Yuling Wang
- School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia.
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Wang W, Liu L, Zhu J, Xing Y, Jiao S, Wu Z. AI-Enhanced Visual-Spectral Synergy for Fast and Ultrasensitive Biodetection of Breast Cancer-Related miRNAs. ACS NANO 2024; 18:6266-6275. [PMID: 38252138 DOI: 10.1021/acsnano.3c10543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
In biomedical testing, artificial intelligence (AI)-enhanced analysis has gradually been applied to the diagnosis of certain diseases. This research employs AI algorithms to refine the precision of integrative detection, encompassing both visual results and fluorescence spectra from lateral flow assays (LFAs), which signal the presence of cancer-linked miRNAs. Specifically, the color shift of gold nanoparticles (GNPs) is paired with the red fluorescence from nitrogen vacancy color centers (NV-centers) in fluorescent nanodiamonds (FNDs) and is integrated into LFA strips. While GNPs amplify the fluorescence of FNDs, in turn, FNDs enhance the color intensity of GNPs. This reciprocal intensification of fluorescence and color can be synergistically augmented with AI algorithms, thereby improving the detection sensitivity for early diagnosis. Supported by the detection platform based on this strategy, the fastest detection results with a limit of detection (LOD) at the fM level and the R2 value of ∼0.9916 for miRNA can be obtained within 5 min. Meanwhile, by labeling the capture probes for miRNA-21 and miRNA-96 (both of which are early indicators of breast cancer) on separate T-lines, simultaneous detection of them can be achieved. The miRNA detection methods employed in this study may potentially be applied in the future for the early detection of breast cancer.
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Affiliation(s)
- Wei Wang
- School of Mechanical Engineering, Southeast University, Nanjing 211189, People's Republic of China
| | - Lei Liu
- School of Mechanical Engineering, Southeast University, Nanjing 211189, People's Republic of China
| | - Jianxiong Zhu
- School of Mechanical Engineering, Southeast University, Nanjing 211189, People's Republic of China
| | - Youqiang Xing
- School of Mechanical Engineering, Southeast University, Nanjing 211189, People's Republic of China
| | - Songlong Jiao
- School of Mechanical Engineering, Southeast University, Nanjing 211189, People's Republic of China
| | - Ze Wu
- School of Mechanical Engineering, Southeast University, Nanjing 211189, People's Republic of China
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Moro G, Fratte CD, Normanno N, Polo F, Cinti S. Point-of-Care Testing for the Detection of MicroRNAs: Towards Liquid Biopsy on a Chip. Angew Chem Int Ed Engl 2023; 62:e202309135. [PMID: 37672490 DOI: 10.1002/anie.202309135] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 08/23/2023] [Accepted: 09/06/2023] [Indexed: 09/08/2023]
Abstract
Point-of-care (PoC) testing is revolutionizing the healthcare sector improving patient care in daily hospital practice and allowing reaching even remote geographical areas. In the frame of cancer management, the design and validation of PoC enabling the non-invasive, rapid detection of cancer markers is urgently required to implement liquid biopsy in clinical practice. Therefore, focusing on stable blood-based markers with high-specificity, such as microRNAs, is of crucial importance. In this work, we highlight the potential impact of circulating microRNAs detection on cancer management and the crucial role of PoC testing devices, especially for low-income countries. A detailed discussion about the challenges that should be faced to promote the technological transfer and clinical use of these tools has been added, to provide the readers with a complete overview of potentialities and current limitations.
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Affiliation(s)
- Giulia Moro
- Department of Pharmacy, University of Naples Federico II, Via Montesano 9, 80131, Naples, Italy
| | - Chiara Dalle Fratte
- Department of Medical Biotechnology and Translational Medicine, Postgraduate School of Clinical Pharmacology and Toxicology, University of Milan "Statale", Via Vanvitelli 32, 20133, Milan, Italy
| | - Nicola Normanno
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori (IRCCS), Fondazione Pascale, Via Mariano Semmola, 53, 80131, Naples, Italy
| | - Federico Polo
- Department of Molecular Sciences and Nanosystems, Ca' Foscari University of Venice, Via Torino 155, 30172, Venice, Italy
- European Centre for Living Technology (ECLT), Ca' Foscari University of Venice Ca' Bottacin, 30124, Venice, Italy
| | - Stefano Cinti
- Department of Pharmacy, University of Naples Federico II, Via Montesano 9, 80131, Naples, Italy
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Chauhan N, Saxena K, Rawal R, Yadav L, Jain U. Advances in surface-enhanced Raman spectroscopy-based sensors for detection of various biomarkers. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2023; 184:32-41. [PMID: 37648087 DOI: 10.1016/j.pbiomolbio.2023.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 08/18/2023] [Accepted: 08/27/2023] [Indexed: 09/01/2023]
Abstract
Surface enhanced Raman spectroscopy (SERS) allows the ultrasensitive detection of analytes present in traces or even single molecule levels by the generation of electromagnetic fields. It is a powerful vibrational spectroscopic method that is capable to detect traces of chemical and biological analytes. SERS technique is involved in the extremely sophisticated studies of molecules with high specificity and sensitivity. In the vicinity of nanomaterials decorated surfaces, SERS can monitor extremely low concentrations of analytes in a non-destructive manner with narrow line widths. This review article is focused on some recently developed SERS-based sensors for distinct types of analytes like disease-related biomarkers, organic and inorganic molecules, various toxins, dyes, pesticides, bacteria as well as single molecules. This study aims to enlighten the arising sensing approaches based on the SERS technique. Apart from this, some basics of the SERS technique like their mechanism, detection strategy, and involvement of some specific nanomaterials are also highlighted herein. Finally, the study concluded with some discussion of applications of SERS in various fields like food and environmental analysis.
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Affiliation(s)
- Nidhi Chauhan
- School of Health Sciences & Technology (SoHST), University of Petroleum and Energy Studies (UPES), Bidholi, 248007, Dehradun, India
| | - Kirti Saxena
- Amity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida, 201313, India
| | - Rachna Rawal
- Department of Physics and Astrophysics, University of Delhi, Delhi, 110007, India
| | - Lalit Yadav
- Amity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida, 201313, India.
| | - Utkarsh Jain
- School of Health Sciences & Technology (SoHST), University of Petroleum and Energy Studies (UPES), Bidholi, 248007, Dehradun, India.
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Omidfar K, Riahi F, Kashanian S. Lateral Flow Assay: A Summary of Recent Progress for Improving Assay Performance. BIOSENSORS 2023; 13:837. [PMID: 37754072 PMCID: PMC10526804 DOI: 10.3390/bios13090837] [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: 07/18/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 09/28/2023]
Abstract
Lateral flow tests are one of the most important types of paper-based point-of-care (POCT) diagnostic tools. It shows great potential as an implement for improving the rapid screening and management of infections in global pandemics or other potential health disorders by using minimally expert staff in locations where no sophisticated laboratory services are accessible. They can detect different types of biomarkers in various biological samples and provide the results in a little time at a low price. An important challenge regarding conventional LFAs is increasing their sensitivity and specificity. There are two main approaches to increase sensitivity and specificity, including assay improvement and target enrichment. Assay improvement comprises the assay optimization and signal amplification techniques. In this study, a summarize of various sensitivity and specificity enhancement strategies with an objective evaluation are presented, such as detection element immobilization, capillary flow rate adjusting, label evolution, sample extraction and enrichment, etc. and also the key findings in improving the LFA performance and solving their limitations are discussed along with numerous examples.
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Affiliation(s)
- Kobra Omidfar
- Biosensor Research Center, Endocrinology and Metabolism Molecular—Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran 1458889694, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran 1458889694, Iran
| | - Fatemeh Riahi
- Biosensor Research Center, Endocrinology and Metabolism Molecular—Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran 1458889694, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran 1458889694, Iran
| | - Soheila Kashanian
- Faculty of Chemistry, Razi University, Kermanshah 6714414971, Iran
- Nanobiotechnology Department, Faculty of Innovative Science and Technology, Razi University, Kermanshah 6714414971, Iran
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Lamprou E, Sotiriou M, Kalligosfyri PM, Kalogianni DP, Christopoulos TK. A universal lateral flow assay for microRNA visual detection in urine samples. Talanta 2023; 262:124682. [PMID: 37244240 DOI: 10.1016/j.talanta.2023.124682] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 04/25/2023] [Accepted: 05/16/2023] [Indexed: 05/29/2023]
Abstract
MicroRNAs (miRNAs) have been emerged as novel and significant biomarkers in liquid biopsy that can be found in different body fluids. Several techniques have been developed and applied for miRNAs analysis, including nucleic acid-based amplification methods, next generation sequencing, DNA microarrays and new genome-editing methods. These methods, however, are time-consuming and require expensive instruments and specially trained personnel. Biosensors, on the other hand, are alternative and valuable analytical/diagnostic tools due to their simplicity, cost-effectiveness, rapid analysis and ease of use. Several biosensors, especially nanotechnology-based ones, have been developed for miRNA analysis that are based either on target amplification or signal amplification and target re-cycling for sensitive detection. At this point of view, we have introduced a new and universal lateral flow assay in combination with reverse transcription - polymerase chain reaction (RT-PCR) and gold nanoparticles as reporters for the detection of miR-21 and miR-let-7a in human urine. It is the first time that such a biosensor has been applied to the detection of microRNAs in urine. As low as 102-103 copies of miR-21 and 102--104 copies of miR-let-7a added in urine were detectable by the proposed lateral flow assay with great specificity and repeatability (%CVs <4.5%).
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Affiliation(s)
- Eleni Lamprou
- Department of Chemistry, University of Patras, GR26504, Rio, Patras, Greece
| | - Markos Sotiriou
- Department of Chemistry, University of Patras, GR26504, Rio, Patras, Greece
| | | | | | - Theodore K Christopoulos
- Department of Chemistry, University of Patras, GR26504, Rio, Patras, Greece; Institute of Chemical Engineering Sciences, Foundation for Research and Technology Hellas (FORTH/ICE-HT), Patras, 26504, Greece
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