1
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Albiach-Delgado A, Moreno-Casillas JL, Ettabaa-Bahji Y, Ten-Doménech I, Cascant-Vilaplana MM, Vento M, Quintás G, Kuligowski J. Portable point-of-care surface enhanced Raman scattering spectroscopy for the quantification of glutathione in whole blood microsamples. Talanta 2024; 279:126566. [PMID: 39047627 DOI: 10.1016/j.talanta.2024.126566] [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] [Received: 02/15/2024] [Revised: 06/19/2024] [Accepted: 07/12/2024] [Indexed: 07/27/2024]
Abstract
Glutathione (GSH) is a non-protein tripeptide thiol that plays a prominent role in oxidative stress defense. GSH concentration is particularly critical in the neonatal period, especially for premature newborns that face increased susceptibility to oxidative stress. Monitoring GSH levels provides valuable insights into newborn health, helping to tailor care to their specific needs. The aim of this study was the development of a sensor specifically targeted for its use in neonatology, enabling GSH determination in only 2 μL of whole blood. The newly developed sensing system simplifies sample processing, addressing a critical need in clinical applications. Unlike current methods that demand fast pre-processing of relatively large sample volumes, expensive equipment, and skilled personnel, the developed approach streamlines the analytical process. By using 2 μL of whole blood, a single syringe filter for sample treatment, a deuterated internal standard (IS) for signal normalization, and Surface Enhanced Raman Scattering (SERS) spectroscopy with a silver colloid substrate for GSH detection, the set-up's characteristics are compatible with point-of-care applications. The analytical procedure was validated and applied to diverse populations including healthy adults (N = 63) and newborns (N = 35), yielding GSH concentration values ranging from 0.6 to 1.8 and 0.8-2.1 mM, respectively. This new optical sensor offers a quick and cost-effective solution to support the assessment of GSH levels in newborns that can greatly benefit not only neonatal care, but also the study of adult populations for health monitoring.
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Affiliation(s)
- Abel Albiach-Delgado
- Neonatal Research Group, Health Research Institute La Fe (IIS La Fe), Avda Fernando Abril Martorell 106, 46026, Valencia, Spain; Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin Network (RICORS-SAMID) (RD21/0012/0015), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Jose Luis Moreno-Casillas
- Neonatal Research Group, Health Research Institute La Fe (IIS La Fe), Avda Fernando Abril Martorell 106, 46026, Valencia, Spain
| | - Youssef Ettabaa-Bahji
- Neonatal Research Group, Health Research Institute La Fe (IIS La Fe), Avda Fernando Abril Martorell 106, 46026, Valencia, Spain
| | - Isabel Ten-Doménech
- Neonatal Research Group, Health Research Institute La Fe (IIS La Fe), Avda Fernando Abril Martorell 106, 46026, Valencia, Spain; Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin Network (RICORS-SAMID) (RD21/0012/0015), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Mari Merce Cascant-Vilaplana
- Neonatal Research Group, Health Research Institute La Fe (IIS La Fe), Avda Fernando Abril Martorell 106, 46026, Valencia, Spain
| | - Máximo Vento
- Neonatal Research Group, Health Research Institute La Fe (IIS La Fe), Avda Fernando Abril Martorell 106, 46026, Valencia, Spain; Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin Network (RICORS-SAMID) (RD21/0012/0015), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Guillermo Quintás
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain; Health and Biomedicine, Leitat Technological Center, Carrer de la Innovació, 2, 08225, Terrassa, Spain.
| | - Julia Kuligowski
- Neonatal Research Group, Health Research Institute La Fe (IIS La Fe), Avda Fernando Abril Martorell 106, 46026, Valencia, Spain; Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin Network (RICORS-SAMID) (RD21/0012/0015), Instituto de Salud Carlos III, 28029, Madrid, Spain.
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2
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Mi Y, Li X, Zeng X, Cai Y, Sun X, Yan Y, Jiang Y. Diagnosis of neuropsychiatric systemic lupus erythematosus by label-free serum microsphere-coupled SERS fingerprints with machine learning. Biosens Bioelectron 2024; 260:116414. [PMID: 38815463 DOI: 10.1016/j.bios.2024.116414] [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] [Received: 01/27/2024] [Revised: 04/08/2024] [Accepted: 05/20/2024] [Indexed: 06/01/2024]
Abstract
Surface-enhanced Raman spectroscopy (SERS) is a powerful optical technique for non-invasive and label-free bioanalysis of liquid biopsy, facilitating to diagnosis of potential diseases. Neuropsychiatric systemic lupus erythematosus (NPSLE) is one of the subgroups of systemic lupus erythematosus (SLE) with serious manifestations for a high mortality rate. Unfortunately, lack of well-established gold standards results in the clinical diagnosis of NPSLE being a challenge so far. Here we develop a novel Raman fingerprinting machine learning (ML-) assisted diagnostic method. The microsphere-coupled SERS (McSERS) substrates are employed to acquire Raman spectra for analysis via convolutional neural network (CNN). The McSERS substrates demonstrate better performance to distinguish the Raman spectra from serums between SLE and NPSLE, attributed to the boosted signal-to-noise ratio of Raman intensities due to the multiple optical regulation in microspheres and AuNPs. Eight statistically-significant (p-value <0.05) Raman shifts are identified, for the first time, as the characteristic spectral markers. The classification model established by CNN algorithm demonstrates 95.0% in accuracy, 95.9% in sensitivity, and 93.5% in specificity for NPSLE diagnosis. The present work paves a new way achieving clinical label-free serum diagnosis of rheumatic diseases by enhanced Raman fingerprints with machine learning.
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Affiliation(s)
- Yanlin Mi
- School of Physics and Optoelectronic Engineering, Beijing University of Technology, Beijing, 100124, China
| | - Xue Li
- Department of Rheumatology and Immunology, Peking University People's Hospital and Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, 100044, China
| | - Xingyue Zeng
- Department of Rheumatology and Immunology, Peking University People's Hospital and Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, 100044, China
| | - Yuyang Cai
- Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Xiaolin Sun
- Department of Rheumatology and Immunology, Peking University People's Hospital and Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, 100044, China.
| | - Yinzhou Yan
- School of Physics and Optoelectronic Engineering, Beijing University of Technology, Beijing, 100124, China; Key Laboratory of Trans-scale Laser Manufacturing Technology (Beijing University of Technology), Ministry of Education, Beijing, 100124, China; Beijing Engineering Research Center of Laser Technology, Beijing University of Technology, Beijing, 100124, China.
| | - Yijian Jiang
- School of Physics and Optoelectronic Engineering, Beijing University of Technology, Beijing, 100124, China; Key Laboratory of Trans-scale Laser Manufacturing Technology (Beijing University of Technology), Ministry of Education, Beijing, 100124, China; Beijing Engineering Research Center of Laser Technology, Beijing University of Technology, Beijing, 100124, China
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3
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Gobbato R, Fornasaro S, Sergo V, Bonifacio A. Direct comparison of different protocols to obtain surface enhanced Raman spectra of human serum. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 317:124390. [PMID: 38749203 DOI: 10.1016/j.saa.2024.124390] [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: 03/12/2024] [Revised: 04/21/2024] [Accepted: 04/29/2024] [Indexed: 05/31/2024]
Abstract
Label-free Surface Enhanced Raman Spectroscopy (SERS) is a rapid technique that has been extensively applied in clinical diagnosis and biomedicine for the analysis of biofluids. The purpose of this approach relies on the ability to detect specific "metabolic fingerprints" of complex biological samples, but the full potential of this technique in diagnostics is yet to be exploited, mainly because of the lack of common analytical protocols for sample preparation and analysis. Variation of experimental parameters, such as substrate type, laser wavelength and sample processing can greatly influence spectral patterns, making results from different research groups difficult to compare. This study aims at making a step toward a standardization of the protocols in the analysis of human serum samples with Ag nanoparticles, by directly comparing the SERS spectra obtained from five different methods in which parameters like laser power, nanoparticle concentration, incubation/deproteinization steps and type of substrate used vary. Two protocols are the most used in the literature, and the other three are "in-house" protocols proposed by our group; all of them are employed to analyze the same human serum sample. The experimental results show that all protocols yield spectra that share the same overall spectral pattern, conveying the same biochemical information, but they significantly differ in terms of overall spectral intensity, repeatability, and preparation steps of the sample. A Principal Component Analysis (PCA) was performed revealing that protocol 3 and protocol 1 have the least variability in the dataset, while protocol 2 and 4 are the least repeatable.
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Affiliation(s)
- Roberto Gobbato
- Raman Spectroscopy Laboratory, Department of Engineering and Architecture, University of Trieste, Via Valerio 6a, 34127 Trieste, TS, Italy.
| | - Stefano Fornasaro
- Department of Chemical and Pharmaceutical Sciences, University of Trieste, Via Licio Giorgieri 1, 34127 Trieste, TS, Italy.
| | - Valter Sergo
- Raman Spectroscopy Laboratory, Department of Engineering and Architecture, University of Trieste, Via Valerio 6a, 34127 Trieste, TS, Italy.
| | - Alois Bonifacio
- Raman Spectroscopy Laboratory, Department of Engineering and Architecture, University of Trieste, Via Valerio 6a, 34127 Trieste, TS, Italy.
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4
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Zhang J, Weng Y, Liu Y, Wang N, Feng S, Qiu S, Lin D. Molecular separation-assisted label-free SERS combined with machine learning for nasopharyngeal cancer screening and radiotherapy resistance prediction. JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY. B, BIOLOGY 2024; 257:112968. [PMID: 38955080 DOI: 10.1016/j.jphotobiol.2024.112968] [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: 11/24/2023] [Revised: 04/30/2024] [Accepted: 06/25/2024] [Indexed: 07/04/2024]
Abstract
Nasopharyngeal cancer (NPC) is a malignant tumor with high prevalence in Southeast Asia and highly invasive and metastatic characteristics. Radiotherapy is the primary strategy for NPC treatment, however there is still lack of effect method for predicting the radioresistance that is the main reason for treatment failure. Herein, the molecular profiles of patient plasma from NPC with radiotherapy sensitivity and resistance groups as well as healthy group, respectively, were explored by label-free surface enhanced Raman spectroscopy (SERS) based on surface plasmon resonance for the first time. Especially, the components with different molecular weight sizes were analyzed via the separation process, helping to avoid the possible missing of diagnostic information due to the competitive adsorption. Following that, robust machine learning algorithm based on principal component analysis and linear discriminant analysis (PCA-LDA) was employed to extract the feature of blood-SERS data and establish an effective predictive model with the accuracy of 96.7% for identifying the radiotherapy resistance subjects from sensitivity ones, and 100% for identifying the NPC subjects from healthy ones. This work demonstrates the potential of molecular separation-assisted label-free SERS combined with machine learning for NPC screening and treatment strategy guidance in clinical scenario.
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Affiliation(s)
- Jun Zhang
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350117, PR China
| | - Youliang Weng
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fujian Branch of Fudan University Shanghai Cancer Center, Fuzhou 350014, PR China
| | - Yi Liu
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350117, PR China
| | - Nan Wang
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350117, PR China
| | - Shangyuan Feng
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350117, PR China
| | - Sufang Qiu
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fujian Branch of Fudan University Shanghai Cancer Center, Fuzhou 350014, PR China.
| | - Duo Lin
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350117, PR China.
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5
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Chen X, Lin K, Chen K, Wang L, Liu H, Ma P, Zeng L, Zhang X, Sui M, Chen H. Novel non-invasive method for urine mapping: Deep-learning-enabled SERS spectroscopy for the rapid differential detection of kidney allograft injury. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 315:124255. [PMID: 38608562 DOI: 10.1016/j.saa.2024.124255] [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: 12/18/2023] [Revised: 03/16/2024] [Accepted: 04/03/2024] [Indexed: 04/14/2024]
Abstract
The kidney allograft has been under continuous attack from diverse injuries since the very beginning of organ procurement, leading to a gradual decline in function, chronic fibrosis, and allograft loss. It is vital to routinely and precisely monitor the risk of injuries after renal transplantation, which is difficult to achieve because the traditional laboratory tests lack sensitivity and specificity, and graft biopsies are invasive with the risk of many complications and time-consuming. Herein, a novel method for the diagnosis of graft injury is demonstrated, using deep learning-assisted surface-enhanced Raman spectroscopy (SERS) of the urine analysis. Specifically, we developed a hybrid SERS substrate composed of gold and silver with high sensitivity to the urine composition under test, eliminating the need for labels, which makes measurements easy to perform and meanwhile results in extremely abundant and complex Raman vibrational bands. Deep learning algorithms were then developed to improve the interpretation of the SERS spectral fingerprints. The deep learning model was trained with SERS signals of urine samples of recipients with different injury types including delayed graft function (DGF), calcineurin-inhibitor toxicity (CNIT), T cell-mediated rejection (TCMR), antibody-mediated rejection (AMR), and BK virus nephropathy (BKVN), which explored the features of these types and achieved the injury differentiation with an overall accuracy of 93.03%. The results highlight the potential of combining label-free SERS spectroscopy with deep learning as a method for liquid biopsy of kidney allograft injuries, which can provide great potential to diagnose and evaluate allograft injuries, and thus extend the life of kidney allografts.
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Affiliation(s)
- Xi Chen
- Key Laboratory of Optical Technology and Instrument for Medicine, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Kailin Lin
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200000, China
| | - Kewen Chen
- Department of Organ Transplantation, Shanghai Changhai Hospital, Navy Medical University, Shanghai 200433, China
| | - Luyao Wang
- Key Laboratory of Optical Technology and Instrument for Medicine, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Hongyi Liu
- Key Laboratory of Optical Technology and Instrument for Medicine, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Pei Ma
- Key Laboratory of Optical Technology and Instrument for Medicine, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Li Zeng
- Department of Organ Transplantation, Shanghai Changhai Hospital, Navy Medical University, Shanghai 200433, China
| | - Xuedian Zhang
- Key Laboratory of Optical Technology and Instrument for Medicine, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Mingxing Sui
- Department of Organ Transplantation, Shanghai Changhai Hospital, Navy Medical University, Shanghai 200433, China.
| | - Hui Chen
- Key Laboratory of Optical Technology and Instrument for Medicine, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China.
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6
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Chang L, Bai S, Wei P, Gao X, Dong J, Zhou B, Peng C, Jia J, Luan T. Quantitative detecting low concentration polystyrene nanoplastics in aquatic environments via an Ag/Nb 2CT x (MXene) SERS substrate. Talanta 2024; 273:125859. [PMID: 38447341 DOI: 10.1016/j.talanta.2024.125859] [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: 11/20/2023] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 03/08/2024]
Abstract
In this study, the plasmonic Ag nanoparticles (Ag NPs) were uniformly anchored on the high conductivity Nb2CTx (MXene) nanosheets to construct an Ag/Nb2CTx substrate for surface-enhanced Raman spectroscopy (SERS) detection of polystyrene (PS) nanoplastics. The KI addition (0.15 mol/L), the volume ratio between substrate colloid and nanoplastic suspension (2:1), and the mass ratio of Nb2CTx in substrate (14%) on SERS performance were optimized. The EM hot spots of Ag/Nb2CTx are significantly enlarged and enhanced, elucidated by FDFD simulation. Then, the linear relationship between the PS nanoplastics concentration with three different sizes (50, 300, and 500 nm) and the SERS intensity was obtained (R2 > 0.976), wherein, the detection limit was as low as 10-4 mg/mL for PS nanoplastic. Owing to the fingerprint feature, the Ag/Nb2CTx-14% substrate successfully discerns the mixtures from two-component nanoplastics. Meanwhile, it exhibits excellent stability of PS nanoplastics on different detection sites. The recovery rates of PS nanoplastics with different sizes in lake water ranged from 94.74% to 107.29%, with the relative standard deviation (RSD) ranging from 2.88% to 8.30%. Based on this method, the expanded polystyrene (EPS) decomposition behavior was evaluated, and the PS concentrations in four water environments were analyzed. This work will pave the way for the accurate quantitative detection of low concentration of nanoplastics in aquatic environments.
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Affiliation(s)
- Lekai Chang
- School of Environmental and Chemical Engineering, Jiangmen Key Laboratory of Synthetic Chemistry and Cleaner Production, Wuyi University, Jiangmen, 529020, Guangdong, China
| | - Shuli Bai
- School of Environmental and Chemical Engineering, Jiangmen Key Laboratory of Synthetic Chemistry and Cleaner Production, Wuyi University, Jiangmen, 529020, Guangdong, China
| | - Ping Wei
- School of Pharmacy and Food Engineering, Wuyi University, Jiangmen, 529020, Guangdong, China
| | - Xingyue Gao
- School of Environmental and Chemical Engineering, Jiangmen Key Laboratory of Synthetic Chemistry and Cleaner Production, Wuyi University, Jiangmen, 529020, Guangdong, China
| | - Jinfeng Dong
- School of Pharmacy and Food Engineering, Wuyi University, Jiangmen, 529020, Guangdong, China
| | - Bingpu Zhou
- Institute of Applied Physics and Materials Engineering, University of Macau, Macao SAR, 999078, China
| | - Chao Peng
- School of Environmental and Chemical Engineering, Jiangmen Key Laboratory of Synthetic Chemistry and Cleaner Production, Wuyi University, Jiangmen, 529020, Guangdong, China; Institute of Carbon Peaking and Carbon Neutralization, Wuyi University, Jiangmen, 529020, Guangdong, China; Guangdong Laboratory of Chemistry and Fine Chemical Industry Jieyang Center, Jieyang, 515200, Guangdong, China.
| | - Jianbo Jia
- School of Environmental and Chemical Engineering, Jiangmen Key Laboratory of Synthetic Chemistry and Cleaner Production, Wuyi University, Jiangmen, 529020, Guangdong, China; Institute of Carbon Peaking and Carbon Neutralization, Wuyi University, Jiangmen, 529020, Guangdong, China; Guangdong Laboratory of Chemistry and Fine Chemical Industry Jieyang Center, Jieyang, 515200, Guangdong, China
| | - Tiangang Luan
- School of Environmental and Chemical Engineering, Jiangmen Key Laboratory of Synthetic Chemistry and Cleaner Production, Wuyi University, Jiangmen, 529020, Guangdong, China; Institute of Carbon Peaking and Carbon Neutralization, Wuyi University, Jiangmen, 529020, Guangdong, China; Guangdong Laboratory of Chemistry and Fine Chemical Industry Jieyang Center, Jieyang, 515200, Guangdong, China
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7
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Zhang S, Chen F, Zhang Y, Xu Y, Wang L, Wang X, Jia L, Chen Y, Xu Y, Zhang Z, Deng B. SERS detection platform based on a nucleic acid aptamer-functionalized Au nano-dodecahedron array for efficient simultaneous testing of colorectal cancer-associated microRNAs. BIOMEDICAL OPTICS EXPRESS 2024; 15:3366-3381. [PMID: 38855705 PMCID: PMC11161369 DOI: 10.1364/boe.520161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/23/2024] [Accepted: 04/12/2024] [Indexed: 06/11/2024]
Abstract
A surface-enhanced Raman scattering (SERS) detection platform was constructed based on Au nano-dodecahedrons (AuNDs) functionalized with nucleic acid aptamer-specific binding and self-assembly techniques. SERS labels were prepared by modifying Raman signaling molecules and complementary aptamer chains and were bound on the aptamer-functionalized AuNDs array. Using this protocol, the limits of detection (LODs) of miR-21 and miR-18a in the serum were 6.8 pM and 7.6 pM, respectively, and the detection time was 5 min. Additionally, miR-21 and miR-18a were detected in the serum of a mouse model of colorectal cancer. The results of this protocol were consistent with quantitative real-time polymerase chain reaction (qRT-PCR). This method provides an efficient and rapid method for the simultaneous testing of miRNAs, which has great potential clinical value for the early detection of colorectal cancer (CRC).
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Affiliation(s)
- Shuofeng Zhang
- Clinical Medical College, Yangzhou University, Yangzhou 225001, China
| | - Fengsong Chen
- Gastroenterology Department, Nantong Haimen People's Hospital, Nantong 226600, China
| | - Yanqing Zhang
- Medical College, Yangzhou University, Yangzhou 225001, China
| | - Yemin Xu
- Clinical Medical College, Yangzhou University, Yangzhou 225001, China
| | - Lu Wang
- Clinical Medical College, Yangzhou University, Yangzhou 225001, China
| | - Xiya Wang
- Clinical Medical College, Yangzhou University, Yangzhou 225001, China
| | - Long Jia
- Clinical Medical College, Yangzhou University, Yangzhou 225001, China
| | - Yong Chen
- Department of Medical Oncology, Affiliated Hospital of Yangzhou University, Yangzhou 225001, China
| | - Yongcheng Xu
- Department of Medical Oncology, Affiliated Hospital of Yangzhou University, Yangzhou 225001, China
| | - Zhengrong Zhang
- Department of Medical Oncology, Affiliated Hospital of Yangzhou University, Yangzhou 225001, China
| | - Bin Deng
- Department of Gastroenterology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, 225001 Yangzhou, China
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8
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Guo Z, Wu X, Jayan H, Yin L, Xue S, El-Seedi HR, Zou X. Recent developments and applications of surface enhanced Raman scattering spectroscopy in safety detection of fruits and vegetables. Food Chem 2024; 434:137469. [PMID: 37729780 DOI: 10.1016/j.foodchem.2023.137469] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/01/2023] [Accepted: 09/11/2023] [Indexed: 09/22/2023]
Abstract
This article reviewed the latest research progress of Surface-enhanced Raman Spectroscopy (SERS) in the security detection of fruits and vegetables in recent years, especially in three aspects: pesticide residues, microbial toxin contamination and harmful microorganism infection. The binding mechanism and application potential of SERS detection materials (including universal type and special type) and carrier materials (namely rigid and flexible materials) were discussed. Finally, the application prospect of SERS in fruit and vegetable safety detection was explored, and the problems to be solved and development trends were put forward. The poor stability and reproducibility of SERS substrates make it difficult for practical applications. It is necessary to continuously optimize SERS substrates and develop small and portable Raman spectroscopy analyzers. In the future, SERS technology is expected to play an important role in human health, food safety and economy.
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Affiliation(s)
- Zhiming Guo
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China; China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
| | - Xinchen Wu
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Heera Jayan
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Limei Yin
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Shanshan Xue
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Hesham R El-Seedi
- Pharmacognosy Group, Department of Pharmaceutical Biosciences, BMC, Uppsala University, Box 591, SE 751 24 Uppsala, Sweden; International Research Center for Food Nutrition and Safety, Jiangsu University, Zhenjiang 212013, China
| | - Xiaobo Zou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China; China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China; International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing (Jiangsu University), Jiangsu Education Department, Zhenjiang 212013, China
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9
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Dzhagan V, Mazur N, Kapush O, Skoryk M, Pirko Y, Yemets A, Dzhahan V, Shepeliavyi P, Valakh M, Yukhymchuk V. Self-Organized SERS Substrates with Efficient Analyte Enrichment in the Hot Spots. ACS OMEGA 2024; 9:4819-4830. [PMID: 38313516 PMCID: PMC10832017 DOI: 10.1021/acsomega.3c08393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 12/29/2023] [Accepted: 01/05/2024] [Indexed: 02/06/2024]
Abstract
One of the requirements of an efficient surface-enhanced Raman spectroscopy (SERS) substrate is a developed surface morphology with a high density of "hot spots", nm-scale spacings between plasmonic nanoparticles. Of particular interest are plasmonic architectures that could enable self-localization (enrichment) of the analyte in the hot spots. We report a straightforward method of fabrication of efficient SERS substrates that comply with these requirements. The basis of the substrate is a large-area film of tightly packed SiO2 spheres formed by their quick self-assembling upon drop casting from the solution. Thermally evaporated thin Ag layer is converted by quick thermal annealing into nanoparticles (NPs) self-assembled in the trenches between the silica spheres, i.e., in the places where the analyte molecules get localized upon deposition from solution and drying. Therefore, the obtained substrate morphology enables an efficient enrichment of the analyte in the hot spots formed by the densely arranged plasmonic NPs. The high efficiency of the developed SERS substrates is demonstrated by the detection of Rhodamine 6G down to 10-13 mol/L with an enhancement factor of ∼108, as well as the detection of low concentrations of various nonresonant analytes, both small dye molecules and large biomolecules. The developed approach to SERS substrates is very straightforward for implementation and can be further extended to using gold or other plasmonic NPs.
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Affiliation(s)
- Volodymyr Dzhagan
- V.
Lashkaryov Institute of Semiconductors Physics, National Academy of Sciences of Ukraine, Kyiv 03028, Ukraine
- Physics
Department, Taras Shevchenko National University
of Kyiv, Kyiv 01601, Ukraine
| | - Nazar Mazur
- V.
Lashkaryov Institute of Semiconductors Physics, National Academy of Sciences of Ukraine, Kyiv 03028, Ukraine
| | - Olga Kapush
- V.
Lashkaryov Institute of Semiconductors Physics, National Academy of Sciences of Ukraine, Kyiv 03028, Ukraine
| | - Mykola Skoryk
- G. V.
Kurdyumov Institute for Metal Physics, National
Academy of Sciences of Ukraine, Kyiv 03142, Ukraine
| | - Yaroslav Pirko
- Institute
of Food Biotechnology and Genomics, National
Academy of Sciences of Ukraine, Kyiv 04123, Ukraine
| | - Alla Yemets
- Institute
of Food Biotechnology and Genomics, National
Academy of Sciences of Ukraine, Kyiv 04123, Ukraine
| | - Vladyslav Dzhahan
- Physics
Department, Taras Shevchenko National University
of Kyiv, Kyiv 01601, Ukraine
| | - Petro Shepeliavyi
- V.
Lashkaryov Institute of Semiconductors Physics, National Academy of Sciences of Ukraine, Kyiv 03028, Ukraine
| | - Mykhailo Valakh
- V.
Lashkaryov Institute of Semiconductors Physics, National Academy of Sciences of Ukraine, Kyiv 03028, Ukraine
| | - Volodymyr Yukhymchuk
- V.
Lashkaryov Institute of Semiconductors Physics, National Academy of Sciences of Ukraine, Kyiv 03028, Ukraine
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10
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Elsheikh S, Coles NP, Achadu OJ, Filippou PS, Khundakar AA. Advancing Brain Research through Surface-Enhanced Raman Spectroscopy (SERS): Current Applications and Future Prospects. BIOSENSORS 2024; 14:33. [PMID: 38248410 PMCID: PMC10813143 DOI: 10.3390/bios14010033] [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: 11/21/2023] [Revised: 12/15/2023] [Accepted: 12/20/2023] [Indexed: 01/23/2024]
Abstract
Surface-enhanced Raman spectroscopy (SERS) has recently emerged as a potent analytical technique with significant potential in the field of brain research. This review explores the applications and innovations of SERS in understanding the pathophysiological basis and diagnosis of brain disorders. SERS holds significant advantages over conventional Raman spectroscopy, particularly in terms of sensitivity and stability. The integration of label-free SERS presents promising opportunities for the rapid, reliable, and non-invasive diagnosis of brain-associated diseases, particularly when combined with advanced computational methods such as machine learning. SERS has potential to deepen our understanding of brain diseases, enhancing diagnosis, monitoring, and therapeutic interventions. Such advancements could significantly enhance the accuracy of clinical diagnosis and further our understanding of brain-related processes and diseases. This review assesses the utility of SERS in diagnosing and understanding the pathophysiological basis of brain disorders such as Alzheimer's and Parkinson's diseases, stroke, and brain cancer. Recent technological advances in SERS instrumentation and techniques are discussed, including innovations in nanoparticle design, substrate materials, and imaging technologies. We also explore prospects and emerging trends, offering insights into new technologies, while also addressing various challenges and limitations associated with SERS in brain research.
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Affiliation(s)
- Suzan Elsheikh
- National Horizons Centre, Teesside University, 38 John Dixon Ln, Darlington DL1 1HG, UK (N.P.C.); (O.J.A.); (P.S.F.)
| | - Nathan P. Coles
- National Horizons Centre, Teesside University, 38 John Dixon Ln, Darlington DL1 1HG, UK (N.P.C.); (O.J.A.); (P.S.F.)
| | - Ojodomo J. Achadu
- National Horizons Centre, Teesside University, 38 John Dixon Ln, Darlington DL1 1HG, UK (N.P.C.); (O.J.A.); (P.S.F.)
- School of Health and Life Science, Teesside University, Campus Heart, Southfield Rd, Middlesbrough TS1 3BX, UK
| | - Panagiota S. Filippou
- National Horizons Centre, Teesside University, 38 John Dixon Ln, Darlington DL1 1HG, UK (N.P.C.); (O.J.A.); (P.S.F.)
- School of Health and Life Science, Teesside University, Campus Heart, Southfield Rd, Middlesbrough TS1 3BX, UK
| | - Ahmad A. Khundakar
- National Horizons Centre, Teesside University, 38 John Dixon Ln, Darlington DL1 1HG, UK (N.P.C.); (O.J.A.); (P.S.F.)
- School of Health and Life Science, Teesside University, Campus Heart, Southfield Rd, Middlesbrough TS1 3BX, UK
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
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11
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Majdinasab M, Lamy de la Chapelle M, Marty JL. Recent Progresses in Optical Biosensors for Interleukin 6 Detection. BIOSENSORS 2023; 13:898. [PMID: 37754132 PMCID: PMC10526799 DOI: 10.3390/bios13090898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 09/28/2023]
Abstract
Interleukin 6 (IL-6) is pleiotropic cytokine with pathological pro-inflammatory effects in various acute, chronic and infectious diseases. It is involved in a variety of biological processes including immune regulation, hematopoiesis, tissue repair, inflammation, oncogenesis, metabolic control, and sleep. Due to its important role as a biomarker of many types of diseases, its detection in small amounts and with high selectivity is of particular importance in medical and biological fields. Laboratory methods including enzyme-linked immunoassays (ELISAs) and chemiluminescent immunoassays (CLIAs) are the most common conventional methods for IL-6 detection. However, these techniques suffer from the complexity of the method, the expensiveness, and the time-consuming process of obtaining the results. In recent years, too many attempts have been conducted to provide simple, rapid, economical, and user-friendly analytical approaches to monitor IL-6. In this regard, biosensors are considered desirable tools for IL-6 detection because of their special features such as high sensitivity, rapid detection time, ease of use, and ease of miniaturization. In this review, current progresses in different types of optical biosensors as the most favorable types of biosensors for the detection of IL-6 are discussed, evaluated, and compared.
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Affiliation(s)
- Marjan Majdinasab
- Department of Food Science & Technology, School of Agriculture, Shiraz University, Shiraz 71441-65186, Iran;
| | - Marc Lamy de la Chapelle
- Institut des Molécules et Matériaux du Mans (IMMM—UMR 6283 CNRS), Le Mans Université, Avenue Olivier Messiaen, CEDEX 9, 72085 Le Mans, France;
| | - Jean Louis Marty
- BAE: Biocapteurs-Analyses-Environnement, University of Perpignan Via Domitia, 52 Avenue Paul Alduy, CEDEX 9, 66860 Perpignan, France
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12
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Deriu C, Thakur S, Tammaro O, Fabris L. Challenges and opportunities for SERS in the infrared: materials and methods. NANOSCALE ADVANCES 2023; 5:2132-2166. [PMID: 37056617 PMCID: PMC10089128 DOI: 10.1039/d2na00930g] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 03/15/2023] [Indexed: 06/19/2023]
Abstract
In the wake of a global, heightened interest towards biomarker and disease detection prompted by the SARS-CoV-2 pandemic, surface enhanced Raman spectroscopy (SERS) positions itself again at the forefront of biosensing innovation. But is it ready to move from the laboratory to the clinic? This review presents the challenges associated with the application of SERS to the biomedical field, and thus, to the use of excitation sources in the near infrared, where biological windows allow for cell and through-tissue measurements. Two main tackling strategies will be discussed: (1) acting on the design of the enhancing substrate, which includes manipulation of nanoparticle shape, material, and supramolecular architecture, and (2) acting on the spectral collection set-up. A final perspective highlights the upcoming scientific and technological bets that need to be won in order for SERS to stably transition from benchtop to bedside.
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Affiliation(s)
- Chiara Deriu
- Department of Applied Science and Technology, Politecnico di Torino 10129 Turin Italy
| | - Shaila Thakur
- Department of Applied Science and Technology, Politecnico di Torino 10129 Turin Italy
| | - Olimpia Tammaro
- Department of Applied Science and Technology, Politecnico di Torino 10129 Turin Italy
| | - Laura Fabris
- Department of Applied Science and Technology, Politecnico di Torino 10129 Turin Italy
- Department of Materials Science and Engineering, Rutgers University Piscataway NJ 08854 USA
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13
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Tian F, de Carvalho LFDCES, Casey A, Nogueira MS, Byrne HJ. Surface-Enhanced Raman Analysis of Uric Acid and Hypoxanthine Analysis in Fractionated Bodily Fluids. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:1216. [PMID: 37049309 PMCID: PMC10097234 DOI: 10.3390/nano13071216] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 03/26/2023] [Accepted: 03/27/2023] [Indexed: 06/19/2023]
Abstract
In recent years, the disease burden of hyperuricemia has been increasing, especially in high-income countries and the economically developing world with a Western lifestyle. Abnormal levels of uric acid and hypoxanthine are associated with many diseases, and therefore, to demonstrate improved methods of uric acid and hypoxanthine detection, three different bodily fluids were analysed using surface-enhanced Raman spectroscopy (SERS) and high-performance liquid chromatography (HPLC). Gold nanostar suspensions were mixed with series dilutions of uric acid and hypoxanthine, 3 kDa centrifugally filtered human blood serum, urine and saliva. The results show that gold nanostars enable the quantitative detection of the concentration of uric acid and hypoxanthine in the range 5-50 μg/mL and 50-250 ng/mL, respectively. The peak areas of HPLC and maximum peak intensity of SERS have strongly correlated, notably with the peaks of uric acid and hypoxanthine at 1000 and 640 cm-1, respectively. The r2 is 0.975 and 0.959 for uric acid and hypoxanthine, respectively. Each of the three body fluids has a number of spectral features in common with uric acid and hypoxanthine. The large overlap of the spectral bands of the SERS of uric acid against three body fluids at spectra peaks were at 442, 712, 802, 1000, 1086, 1206, 1343, 1436 and 1560 cm-1. The features at 560, 640, 803, 1206, 1290 and 1620 cm-1 from hypoxanthine were common to serum, saliva and urine. There is no statistical difference between HPLC and SERS for determination of the concentration of uric acid and hypoxanthine (p > 0.05). For clinical applications, 3 kDa centrifugal filtration followed by SERS can be used for uric acid and hypoxanthine screening is, which can be used to reveal the subtle abnormalities enhancing the great potential of vibrational spectroscopy as an analytical tool. Our work supports the hypnosis that it is possible to obtain the specific concentration of uric acid and hypoxanthine by comparing the SER signals of serum, saliva and urine. In the future, the analysis of other biofluids can be employed to detect biomarkers for the diagnosis of systemic pathologies.
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Affiliation(s)
- Furong Tian
- FOCAS Research Institute, Technological University Dublin Camden Row, D08CKP1 Dublin, Ireland; (A.C.)
| | - Luis Felipe das Chagas e Silva de Carvalho
- FOCAS Research Institute, Technological University Dublin Camden Row, D08CKP1 Dublin, Ireland; (A.C.)
- Centro Universitario Braz Cubas, Mogi das Cruzes 08773-380, Brazil
- Universidade de Taubate, Taubate 12080-000, Brazil
| | - Alan Casey
- FOCAS Research Institute, Technological University Dublin Camden Row, D08CKP1 Dublin, Ireland; (A.C.)
| | - Marcelo Saito Nogueira
- Tyndall National Institute, Lee Maltings Complex, Dyke Parade, T12R5CP Cork, Ireland;
- Department of Physics, University College Cork, College Road, T12K8AF Cork, Ireland
| | - Hugh J. Byrne
- FOCAS Research Institute, Technological University Dublin Camden Row, D08CKP1 Dublin, Ireland; (A.C.)
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Beeram R, Vepa KR, Soma VR. Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques. BIOSENSORS 2023; 13:328. [PMID: 36979540 PMCID: PMC10046859 DOI: 10.3390/bios13030328] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/20/2023] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
Surface-enhanced Raman spectroscopy/scattering (SERS) has evolved into a popular tool for applications in biology and medicine owing to its ease-of-use, non-destructive, and label-free approach. Advances in plasmonics and instrumentation have enabled the realization of SERS's full potential for the trace detection of biomolecules, disease diagnostics, and monitoring. We provide a brief review on the recent developments in the SERS technique for biosensing applications, with a particular focus on machine learning techniques used for the same. Initially, the article discusses the need for plasmonic sensors in biology and the advantage of SERS over existing techniques. In the later sections, the applications are organized as SERS-based biosensing for disease diagnosis focusing on cancer identification and respiratory diseases, including the recent SARS-CoV-2 detection. We then discuss progress in sensing microorganisms, such as bacteria, with a particular focus on plasmonic sensors for detecting biohazardous materials in view of homeland security. At the end of the article, we focus on machine learning techniques for the (a) identification, (b) classification, and (c) quantification in SERS for biology applications. The review covers the work from 2010 onwards, and the language is simplified to suit the needs of the interdisciplinary audience.
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15
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Stefancu A, Gargiulo J, Laufersky G, Auguié B, Chiş V, Le Ru EC, Liu M, Leopold N, Cortés E. Interface-Dependent Selectivity in Plasmon-Driven Chemical Reactions. ACS NANO 2023; 17:3119-3127. [PMID: 36722817 DOI: 10.1021/acsnano.2c12116] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Plasmonic nanoparticles can drive chemical reactions powered by sunlight. These processes involve the excitation of surface plasmon resonances (SPR) and the subsequent charge transfer to adsorbed molecular orbitals. Nonetheless, controlling the flow of energy and charge from SPR to adsorbed molecules is still difficult to predict or tune. Here, we show the crucial role of halide ions in modifying the energy landscape of a plasmon-driven chemical reaction by carefully engineering the nanoparticle-molecule interface. By doing so, the selectivity of plasmon-driven chemical reactions can be controlled, either enhancing or inhibiting the metal-molecule charge and energy transfer or by regulating the vibrational pumping rate. These results provide an elegant method for controlling the energy flow from plasmonic nanoparticles to adsorbed molecules, in situ, and selectively targeting chemical bonds by changing the chemical nature of the metal-molecule interface.
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Affiliation(s)
- Andrei Stefancu
- Chair in Hybrid Nanosystems, Nanoinstitute Munich, Faculty of Physics, Ludwig-Maximilians-Universität München, 80539 Munich, Germany
- Faculty of Physics, Babeş-Bolyai University, Kogalniceanu 1, 400084 Cluj-Napoca, Romania
| | - Julian Gargiulo
- Chair in Hybrid Nanosystems, Nanoinstitute Munich, Faculty of Physics, Ludwig-Maximilians-Universität München, 80539 Munich, Germany
| | - Geoffry Laufersky
- The MacDiarmid Institute for Advanced Materials and Nanotechnology, School of Chemical and Physical Sciences, Victoria University of Wellington, Wellington 6140, New Zealand
| | - Baptiste Auguié
- The MacDiarmid Institute for Advanced Materials and Nanotechnology, School of Chemical and Physical Sciences, Victoria University of Wellington, Wellington 6140, New Zealand
| | - Vasile Chiş
- Faculty of Physics, Babeş-Bolyai University, Kogalniceanu 1, 400084 Cluj-Napoca, Romania
| | - Eric C Le Ru
- The MacDiarmid Institute for Advanced Materials and Nanotechnology, School of Chemical and Physical Sciences, Victoria University of Wellington, Wellington 6140, New Zealand
| | - Min Liu
- Hunan Joint International Research Center for Carbon Dioxide Resource Utilization, State Key Laboratory of Powder Metallurgy, School of Physics and Electronics, Central South University, Changsha 410083, P. R. China
| | - Nicolae Leopold
- Faculty of Physics, Babeş-Bolyai University, Kogalniceanu 1, 400084 Cluj-Napoca, Romania
| | - Emiliano Cortés
- Chair in Hybrid Nanosystems, Nanoinstitute Munich, Faculty of Physics, Ludwig-Maximilians-Universität München, 80539 Munich, Germany
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16
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Molecularly imprinted 3D SERS sensor with inorganic frameworks for specific and recyclable SERS sensing application. Mikrochim Acta 2023; 190:50. [PMID: 36629926 DOI: 10.1007/s00604-023-05631-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 12/22/2022] [Indexed: 01/12/2023]
Abstract
Poor selectivity and reusability of Au/Ag nanostructures are the main challenges for surface-enhanced Raman spectroscopy (SERS) in real sample detection. Herein, a novel specific and reusable three-dimensional (3D) SERS sensor with dual functions of selective trapping and photocatalytic degradation was designed. Firstly, Au-Ag bimetallic nanoparticles decorated silicon nanowires array (SiNWs-AuAg) were prepared as 3D SERS substrate. Then, silicon-based inorganic-framework molecularly imprinted TiO2 (TiO2@SiMIP) was synthesized and immobilized on SiNWs-AuAg by using rhodamine 6G (R6G) as template molecule. Owing to the excellent SERS performance of SiNWs-AuAg and the specific affinity of TiO2@SiMIP to template molecule, the prepared SERS sensor enables sensitive and selective detection of R6G in food samples with a limit of detection (LOD) of 0.27 nM. In addition, due to the photocatalysis of TiO2 and the stability of silicon-based inorganic framework, the residual templates in TiO2@SiMIP can be completely removed by UV irradiation, and the imprinted cavity of regenerated sensors still maintained good selectivity after regeneration by UV irradiation.
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17
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Zhang J, Song C, Zhu Y, Gan H, Fang X, Peng Q, Xiong J, Dong C, Han C, Wang L. A novel cascade signal amplification strategy integrating CRISPR/Cas13a and branched hybridization chain reaction for ultra-sensitive and specific SERS detection of disease-related nucleic acids. Biosens Bioelectron 2023; 219:114836. [PMID: 36327567 DOI: 10.1016/j.bios.2022.114836] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 10/07/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022]
Abstract
The molecular diagnosis of disease by high-sensitively and specifically detecting extremely trace amounts of nucleic acid biomarkers in biological samples is still a great challenge, and the powerful sensing strategy has become an urgent need for basic researches and clinical applications. Herein, a novel one-pot cascade signal amplification strategy (Cas13a-bHCR) integrating CRISPR/Cas13a system (Cas13a) and branched hybridization chain reaction (bHCR) was proposed for ultra-highly sensitive and specific SERS assay of disease-related nucleic acids on SERS-active silver nanorods sensing chips. The Cas13a-bHCR based SERS assay of gastric cancer-related miRNA-106a (miR-106a) can be achieved within 60 min and output significantly enhanced SERS signal due to the multiple signal amplification, which possesses a good linear calibration curve from 10 aM to 1 nM with the limit of detection (LOD) low to 8.55 aM for detecting gastric cancer-related miR-106a in human serum. The Cas13a-bHCR based SERS sensing also shows good specificity, uniformity, repeatability and reliability, and has good practicability for detection of miR-106a in clinical samples, which can provide a potential powerful tool for SERS detection of disease-related nucleic acids and promise brighter prospects in the field of clinical diagnosis of early disease.
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Affiliation(s)
- Jingjing Zhang
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Chunyuan Song
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China; State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China.
| | - Yunfeng Zhu
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Hongyu Gan
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Xinyue Fang
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Qian Peng
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Jingrong Xiong
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Chen Dong
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Caiqin Han
- Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, 22116, China.
| | - Lianhui Wang
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China.
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18
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Wang Y, Zhang Y, Du Q, Cao D, Lu X, Meng Z. Sensitive SERS detection of oral squamous cell carcinoma-related miRNAs in saliva via a gold nanohexagon array coupled with hybridization chain reaction amplification. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:4563-4575. [PMID: 36317581 DOI: 10.1039/d2ay01180h] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
In this work, a highly specific and sensitive method for the detection of dual miRNAs was successfully developed by a hybridization chain reaction (HCR) amplification coupled with surface-enhanced Raman scattering (SERS) on Au-Ag hollow nanoparticles (Au-Ag HNPs) and a gold nanohexagon (AuNH) array. Two Raman reporter-labelled and hairpin DNA-modified Au-Ag HNPs acted as SERS probes (Au-Ag HNPs@4-MBA@HP1-1, Au-Ag HNPs@4-MBA@HP2-1, Au-Ag HNPs@DTNB@HP1-2, and Au-Ag HNPs@DTNB@HP2-2), and the hairpin DNA-modified AuNH array acted as the capture substrate. The HCR process could be triggered by the presence of target miRNAs, and long DNA hybridization chains on the substrate were formed by self-assembly rapidly, causing significant signal enhancement. Using the mentioned strategy, a low detection limit (LOD) of 6.51 aM for miR-31 and 6.52 aM for miR-21 in human saliva were obtained, showing the biosensor's remarkable sensitivity. The proposed biosensor also displays a significant specificity in detecting target miRNAs by introducing different interfering factors. This method has been successfully applied to detect and identify miR-21 and miR-31 in saliva from oral squamous cell carcinoma (OSCC) patients and healthy subjects. The results were consistent with those of the traditional test method in detecting target miRNAs, which confirmed the good accuracy of our method. Hence, the new assay method has great potential to be a valuable platform for detecting miRNAs in the early diagnosis of OSCC.
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Affiliation(s)
- Youwei Wang
- Department of Neurosurgery, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, 225000, China
| | - Yatong Zhang
- Graduate School of Dalian Medical University, Dalian, Liaoning, 116011, China
| | - Qiu Du
- Department of Neurosurgery, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, 225000, China
| | - Demao Cao
- Department of Neurosurgery, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, 225000, China
| | - Xiaoxia Lu
- Department of Oncology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, 225000, China.
| | - Zhibing Meng
- Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, 225000, China.
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Li M, Jiang F, Xue L, Peng C, Shi Z, Zhang Z, Li J, Pan Y, Wang X, Feng C, Qiao D, Chen Z, Luo Q, Chen X. Recent Progress in Biosensors for Detection of Tumor Biomarkers. Molecules 2022; 27:7327. [PMID: 36364157 PMCID: PMC9658374 DOI: 10.3390/molecules27217327] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 07/31/2022] [Accepted: 08/05/2022] [Indexed: 10/07/2023] Open
Abstract
Cancer is a leading cause of death worldwide, with an increasing mortality rate over the past years. The early detection of cancer contributes to early diagnosis and subsequent treatment. How to detect early cancer has become one of the hot research directions of cancer. Tumor biomarkers, biochemical parameters for reflecting cancer occurrence and progression have caused much attention in cancer early detection. Due to high sensitivity, convenience and low cost, biosensors have been largely developed to detect tumor biomarkers. This review describes the application of various biosensors in detecting tumor markers. Firstly, several typical tumor makers, such as neuron-specific enolase (NSE), carcinoembryonic antigen (CEA), prostate-specific antigen (PSA), squamous cell carcinoma antigen (SCCA), carbohydrate, antigen19-9 (CA19-9) and tumor suppressor p53 (TP53), which may be helpful for early cancer detection in the clinic, are briefly described. Then, various biosensors, mainly focusing on electrochemical biosensors, optical biosensors, photoelectrochemical biosensors, piezoelectric biosensors and aptamer sensors, are discussed. Specifically, the operation principles of biosensors, nanomaterials used in biosensors and the application of biosensors in tumor marker detection have been comprehensively reviewed and provided. Lastly, the challenges and prospects for developing effective biosensors for early cancer diagnosis are discussed.
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Affiliation(s)
- Mantong Li
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Feng Jiang
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Liangyi Xue
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Cheng Peng
- Guangzhou Institute of Food Inspection, Guangzhou 510080, China
| | - Zhengzheng Shi
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Zheng Zhang
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Jia Li
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Yupeng Pan
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Xinya Wang
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Chunqiong Feng
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Dongfang Qiao
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Zhenzhong Chen
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Qizhi Luo
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Xuncai Chen
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
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20
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Juang RS, Wang KS, Cheng YW, Wu WE, Lin YH, Jeng RJ, Huang LY, Yang MC, Liu SH, Liu TY. Intelligent and thermo-responsive Au-pluronic® F127 nanocapsules for Raman-enhancing detection of biomolecules. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 279:121475. [PMID: 35696969 DOI: 10.1016/j.saa.2022.121475] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 05/23/2022] [Accepted: 06/03/2022] [Indexed: 06/15/2023]
Abstract
Thermo-responsive Raman-enhanced nanocapsules were successfully fabricated by Pluronic® F127 (F127) decorated with gold nanoparticles (AuNPs) for surface-enhanced Raman scattering (SERS) detection of biomolecules. F127 nanocapsules changes from hydrophilicity (swelling) to hydrophobicity (de-swelling) when the temperature increases from 15 °C to 37 °C, owing to the lower critical solution temperature (LCST) of F127 is about 26.5 °C. The size of nanocapsules would be enormous shrinking from 160 nm to 20 nm, resulting in a significant decrease in the distance between AuNPs to enhance hot spot effect, which increases the sensitivity of SERS detection. Based on the thermo-sensitive behavior, the ratio of AuNPs and F127 would be manipulated to find the optimal SERS enhancement effect. SERS nanocapsules can rapidly detect biomolecules (adenine and R6G) with limit of detection (LOD) lower than 10-6 M. In addition, the relatively difficult to detect clinical samples, carboxyl-terminal parathyroid hormone fragments (C-PTH), can also be measured by the thermo-responsive SERS nanocapsules developed in this work. It is expected the biomolecules can be adsorbed at low temperature (15 °C), as well as collected and concentrated at high temperature (37 °C) for SERS detection, to increase the sensitivity and stability of SERS detection.
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Affiliation(s)
- Ruey-Shin Juang
- Department of Chemical and Materials Engineering, Chang Gung University, Guishan, Taoyuan 33302, Taiwan; Division of Nephrology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou, Taiwan; Department of Safety, Health and Environmental Engineering, Ming Chi University of Technology, New Taipei City 243303, Taiwan
| | - Kuan-Syun Wang
- Institute of Polymer Science and Engineering, National Taiwan University, Taipei 10617, Taiwan
| | - Yu-Wei Cheng
- Department of Chemical Engineering, Ming Chi University of Technology, New Taipei City 243303, Taiwan
| | - Wei-En Wu
- Department of Materials Engineering, Ming Chi University of Technology, New Taipei City 243303, Taiwan
| | - Yu-Hsuan Lin
- Department of Materials Engineering, Ming Chi University of Technology, New Taipei City 243303, Taiwan
| | - Ru-Jong Jeng
- Institute of Polymer Science and Engineering, National Taiwan University, Taipei 10617, Taiwan
| | - Li-Ying Huang
- Department of Materials Science and Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
| | - Ming-Chien Yang
- Department of Materials Science and Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.
| | - Shou-Hsuan Liu
- Division of Nephrology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou, Taiwan.
| | - Ting-Yu Liu
- Department of Materials Engineering, Ming Chi University of Technology, New Taipei City 243303, Taiwan.
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21
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Avci E, Yilmaz H, Sahiner N, Tuna BG, Cicekdal MB, Eser M, Basak K, Altıntoprak F, Zengin I, Dogan S, Çulha M. Label-Free Surface Enhanced Raman Spectroscopy for Cancer Detection. Cancers (Basel) 2022; 14:cancers14205021. [PMID: 36291805 PMCID: PMC9600112 DOI: 10.3390/cancers14205021] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 10/04/2022] [Accepted: 10/10/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Blood is considered a rich reservoir of biomarkers for disease diagnosis. Surface-enhanced Raman scattering (SERS) is known for its high sensitivity and has been successfully employed to differentiate blood samples from cancer patients versus healthy individuals. Different from previous reports, this study aims at investigating the reliability of the observed results by varying several parameters influencing the observed spectra. Thus, blood taken from 30 healthy individuals as the control group, 30 patients with different types of cancers, and 15 patients with various types of chronic diseases were used in the study. The results revealed that spectral differences in the cancer group was directly related to the presence of cancer-related biomarkers. Although data were obtained from only small group of patients, the recorded sensitivity and specificity values clearly show the power of the technique to detect cancer. Abstract Blood is a vital reservoir housing numerous disease-related metabolites and cellular components. Thus, it is also of interest for cancer diagnosis. Surface-enhanced Raman spectroscopy (SERS) is widely used for molecular detection due to its very high sensitivity and multiplexing properties. Its real potential for cancer diagnosis is not yet clear. In this study, using silver nanoparticles (AgNPs) as substrates, a number of experimental parameters and scenarios were tested to disclose the potential for this technique for cancer diagnosis. The discrimination of serum samples from cancer patients, healthy individuals and patients with chronic diseases was successfully demonstrated with over 90% diagnostic accuracies. Moreover, the SERS spectra of the blood serum samples obtained from cancer patients before and after tumor removal were compared. It was found that the spectral pattern for serum from cancer patients evolved into the spectral pattern observed with serum from healthy individuals after the removal of tumors. The data strongly suggests that the technique has a tremendous potential for cancer detection and screening bringing the possibility of early detection onto the table.
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Affiliation(s)
- Ertug Avci
- Department of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University, Istanbul 34755, Turkey
| | - Hulya Yilmaz
- Sabanci University Nanotechnology Research and Application Center (SUNUM), Istanbul 34956, Turkey
| | - Nurettin Sahiner
- Department of Ophthalmology, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA
- Department of Chemistry, Canakkale Onsekiz Mart University, Canakkale 17020, Turkey
| | - Bilge Guvenc Tuna
- Department of Biophysics, School of Medicine, Yeditepe University, Istanbul 34755, Turkey
| | - Munevver Burcu Cicekdal
- Department of Medical Biology, School of Medicine, Yeditepe University, Istanbul 34755, Turkey
| | - Mehmet Eser
- Department of General Surgery, School of Medicine, Istinye University, Istanbul 34010, Turkey
| | - Kayhan Basak
- Department of Pathology, Kartal Dr. Lütfi Kırdar City Hospital, University of Health Sciences, Istanbul 34865, Turkey
| | - Fatih Altıntoprak
- Department of General Surgery, Research and Educational Hospital, Sakarya University, Serdivan 54100, Turkey
| | - Ismail Zengin
- Department of General Surgery, Research and Educational Hospital, Sakarya University, Serdivan 54100, Turkey
| | - Soner Dogan
- Department of Medical Biology, School of Medicine, Yeditepe University, Istanbul 34755, Turkey
| | - Mustafa Çulha
- Sabanci University Nanotechnology Research and Application Center (SUNUM), Istanbul 34956, Turkey
- The Knight Cancer Institute, Cancer Early Detection Advanced Research Center (CEDAR), Oregon Health and Science University, Portland, OR 97239, USA
- Department of Chemistry and Physics, College of Science and Mathematics, Augusta University, Augusta, GA 30912, USA
- Correspondence: or or
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22
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Wu HY, Lin HC, Liu YH, Chen KL, Wang YH, Sun YS, Hsu JC. Highly Sensitive, Robust, and Recyclable TiO 2/AgNP Substrate for SERS Detection. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27196755. [PMID: 36235289 PMCID: PMC9571145 DOI: 10.3390/molecules27196755] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/05/2022] [Accepted: 10/07/2022] [Indexed: 11/26/2022]
Abstract
Label-free biosensors provide an important platform for detecting chemical and biological substances without needing extra labeling agents. Unlike surface-based techniques such as surface plasmon resonance (SPR), interference, and ellipsometry, surface-enhanced Raman spectroscopy (SERS) possesses the advantage of monitoring analytes both on surfaces and in solutions. Increasing the SERS enhancement is crucial to preparing high-quality substrates without quickly losing their stability, sensitivity, and repeatability. However, fabrication methods based on wet chemistry, nanoimprint lithography, spark discharge, and laser ablation have drawbacks of waste of time, complicated processes, or nonreproducibility in surface topography. This study reports the preparation of recyclable TiO2/Ag nanoparticle (AgNP) substrates by using simple arc ion plating and direct-current (dc) magnetron sputtering technologies. The deposited anatase-phased TiO2 ensured the photocatalytic degradation of analytes. By measuring the Raman spectra of rhodamine 6G (R6G) in titrated concentrations, a limit of detection (LOD) of 10−8 M and a SERS enhancement factor (EF) of 1.01 × 109 were attained. Self-cleaning was performed via UV irradiation, and recyclability was achieved after at least five cycles of detection and degradation. The proposed TiO2/AgNP substrates have the potential to serve as eco-friendly SERS enhancers for label-free detection of various chemical and biological substances.
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Affiliation(s)
- Hsing-Yu Wu
- System Manufacturing Center, National Chung-Shan Institute of Science and Technology, New Taipei City 237209, Taiwan
- Center for Astronomical Physics and Engineering, Department of Optics and Photonics, National Central University, Taoyuan City 320317, Taiwan
- Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
| | - Hung-Chun Lin
- Department of Physics, Fu Jen Catholic University, New Taipei City 242062, Taiwan
| | - Yung-Hsien Liu
- System Manufacturing Center, National Chung-Shan Institute of Science and Technology, New Taipei City 237209, Taiwan
- Department of Chemical and Materials Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan City 335009, Taiwan
| | - Kai-Lin Chen
- System Manufacturing Center, National Chung-Shan Institute of Science and Technology, New Taipei City 237209, Taiwan
| | - Yu-Hsun Wang
- Department of Physics, Fu Jen Catholic University, New Taipei City 242062, Taiwan
| | - Yung-Shin Sun
- Department of Physics, Fu Jen Catholic University, New Taipei City 242062, Taiwan
- Correspondence: (Y.-S.S.); (J.-C.H.)
| | - Jin-Cherng Hsu
- Department of Physics, Fu Jen Catholic University, New Taipei City 242062, Taiwan
- Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University, New Taipei City 242062, Taiwan
- Correspondence: (Y.-S.S.); (J.-C.H.)
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23
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Zhang Y, Li W, Zhang H, Wang S, Li X, Zaigham Abbas Naqvi SM, Hu J. Dual-functional SERRS and fluorescent aptamer sensor for abscisic acid detection via charged gold nanorods. Front Chem 2022; 10:965761. [PMID: 36046725 PMCID: PMC9420979 DOI: 10.3389/fchem.2022.965761] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 07/15/2022] [Indexed: 11/13/2022] Open
Abstract
Abscisic acid (ABA) is a plant hormone, which plays an important role in plant growth, crop cultivation and modern agricultural engineering management. Accordingly, the detection of ABA content combined with new techniques and methods has become a more and more popular problem in the field of agricultural engineering. In this work, a SERRS and fluorescence dual-function sensor based on the fluorescence quenching and Raman enhancement properties of gold nanorods (AuNRs) was developed, and applied to the detection of plant hormone ABA. The dual-function reporter molecule Rhodamine isothiocyanate (RBITC) and complementary DNA (cDNA) were modified on AuNRs (AuNRs@RBITC@cDNA) as signal probes and aptamer modified magnetic nanoparticles (Fe3O4MNPs@Apt) as capture probes. Through the specific recognition of ABA aptamer and its complementary chains, an dual-function aptamer sensor based on SERRS and fluorescence was constructed. When ABA molecules were present in the detection system, the signal probes were detached from the capture probes due to the preferential binding between aptamer and ABA molecules. SERS signal of the reporter molecules appeared in the supernatant after magnetic separation, and it increased with the increase of ABA concentration. If the etching agent that can etch AuNRs was added to the supernatant, the AuNRs was etching disappeared, then the signal molecules fall off from the AuNRs, and the fluorescence signal intensity would recovered. The intensity of fluorescence signal also increased with the increase of ABA concentration. Thus, the quantitative relationship between ABA concentration and SERRS intensity and fluorescence intensity of signal molecules was established. The linear range of SERRS detection was 100 fM–0.1 nM, the detection limit was 38 fM; The linear range of fluorescence detection was 1 pM–100 nM, the detection limit is 0.33 p.m. The constructed dual-effect sensor was used in the recovery laboratory of real ABA samples, the recovery rate was up to 85–108%.
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Affiliation(s)
- Yanyan Zhang
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China
- Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China
| | - Wei Li
- Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China
- College of Science, Henan Agricultural University, Zhengzhou, China
| | - Hao Zhang
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China
- Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China
| | - Shun Wang
- Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China
- College of Science, Henan Agricultural University, Zhengzhou, China
| | - Xiaodong Li
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China
- Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China
| | - Syed Muhammad Zaigham Abbas Naqvi
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China
- Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China
| | - Jiandong Hu
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China
- Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China
- State Key Laboratory of Wheat and Maize Crop Science, Zhengzhou, China
- *Correspondence: Jiandong Hu,
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24
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Dzhagan V, Kapush O, Plokhovska S, Buziashvili A, Pirko Y, Yeshchenko O, Yukhymchuk V, Yemets A, Zahn DRT. Plasmonic colloidal Au nanoparticles in DMSO: a facile synthesis and characterisation. RSC Adv 2022; 12:21591-21599. [PMID: 35975078 PMCID: PMC9346627 DOI: 10.1039/d2ra03605c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 07/20/2022] [Indexed: 11/21/2022] Open
Abstract
We report a new pathway for the synthesis of plasmonic gold nanoparticles (Au NPs) in a bio-compatible medium. A modified room temperature approach based on the standard Turkevich synthesis, using sodium citrate as a reducing and stabilizing agent, results in a highly stable colloidal suspension of Au NPs in dimethyl sulfoxide (DMSO). The mean NP size of about 15 nm with a fairly low size distribution is revealed by scanning electron microscopy. The stability test through UV-vis absorption spectroscopy indicates no sign of aggregation for months. The Au NPs are also characterized by X-ray photoelectron, Raman scattering, and FTIR spectroscopies. The stabilisation mechanism of the Au NPs in DMSO is concluded to be similar to that of NPs synthesized in water. The Au NPs obtained in this work are applicable as SERS substrates, as proved by common analytes. In terms of bio-applications, they do not possess such side-effects as pronounced antibacterial activity, based on the tests performed on non-pathogenic Gram-positive or Gram-negative bacteria.
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Affiliation(s)
- Volodymyr Dzhagan
- V. Lashkaryov Institute of Semiconductors Physics, National Academy of Sciences of Ukraine Kyiv Ukraine
- Physics Department, Taras Shevchenko National University of Kyiv 01601 Kyiv Ukraine
| | - Olga Kapush
- V. Lashkaryov Institute of Semiconductors Physics, National Academy of Sciences of Ukraine Kyiv Ukraine
| | - Svitlana Plokhovska
- Department of Cell Biology and Biotechnology, Institute of Food Biotechnology and Genomics, National Academy of Sciences of Ukraine 04123 Kyiv Ukraine
| | - Anastasiya Buziashvili
- Department of Cell Biology and Biotechnology, Institute of Food Biotechnology and Genomics, National Academy of Sciences of Ukraine 04123 Kyiv Ukraine
| | - Yaroslav Pirko
- Department of Population Genetics, Institute of Food Biotechnology and Genomics, National Academy of Sciences of Ukraine Osypovskogo str., 2a Kyiv 04123 Ukraine
| | - Oleg Yeshchenko
- Physics Department, Taras Shevchenko National University of Kyiv 01601 Kyiv Ukraine
| | - Volodymyr Yukhymchuk
- V. Lashkaryov Institute of Semiconductors Physics, National Academy of Sciences of Ukraine Kyiv Ukraine
| | - Alla Yemets
- Department of Cell Biology and Biotechnology, Institute of Food Biotechnology and Genomics, National Academy of Sciences of Ukraine 04123 Kyiv Ukraine
| | - Dietrich R T Zahn
- Semiconductor Physics, Chemnitz University of Technology 09107 Chemnitz Germany
- Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology 09107 Chemnitz Germany
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25
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Dallari C, Innocenti R, Lenci E, Trabocchi A, Pavone FS, Credi C. Design and Synthesis of Novel Raman Reporters for Bioorthogonal SERS Nanoprobes Engineering. Int J Mol Sci 2022; 23:ijms23105573. [PMID: 35628383 PMCID: PMC9144405 DOI: 10.3390/ijms23105573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/12/2022] [Accepted: 05/13/2022] [Indexed: 11/16/2022] Open
Abstract
Surface-enhanced Raman spectroscopy (SERS) exploiting Raman reporter-labeled nanoparticles (RR@NPs) represents a powerful tool for the improvement of optical bio-assays due to RRs’ narrow peaks, SERS high sensitivity, and potential for multiplexing. In the present work, starting from low-cost and highly available raw materials such as cysteamine and substituted benzoic acids, novel bioorthogonal RRs, characterized by strong signal (103 counts with FWHM < 15 cm−1) in the biological Raman-silent region (>2000 cm−1), RRs are synthesized by implementing a versatile, modular, and straightforward method with high yields and requiring three steps lasting 18 h, thus overcoming the limitations of current reported procedures. The resulting RRs’ chemical structure has SH-pendant groups exploited for covalent conjugation to high anisotropic gold-NPs. RR@NPs constructs work as SERS nanoprobes demonstrating high colloidal stability while retaining NPs’ physical and vibrational properties, with a limit of detection down to 60 pM. RR@NPs constructs expose carboxylic moieties for further self-assembling of biomolecules (such as antibodies), conferring tagging capabilities to the SERS nanoprobes even in heterogeneous samples, as demonstrated with in vitro experiments by transmembrane proteins tagging in cell cultures. Finally, thanks to their non-overlapping spectra, we envision and preliminary prove the possibility of exploiting RR@NPs constructs simultaneously, aiming at improving current SERS-based multiplexing bioassays.
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Affiliation(s)
- Caterina Dallari
- European Laboratory for Non-Linear Spectroscopy, University of Florence, 50019 Sesto Fiorentino, Italy; (R.I.); (F.S.P.); (C.C.)
- Department of Physics, University of Florence, 50019 Sesto Fiorentino, Italy
- Correspondence:
| | - Riccardo Innocenti
- European Laboratory for Non-Linear Spectroscopy, University of Florence, 50019 Sesto Fiorentino, Italy; (R.I.); (F.S.P.); (C.C.)
| | - Elena Lenci
- Department of Chemistry, University of Florence, 50019 Sesto Fiorentino, Italy; (E.L.); (A.T.)
| | - Andrea Trabocchi
- Department of Chemistry, University of Florence, 50019 Sesto Fiorentino, Italy; (E.L.); (A.T.)
| | - Francesco Saverio Pavone
- European Laboratory for Non-Linear Spectroscopy, University of Florence, 50019 Sesto Fiorentino, Italy; (R.I.); (F.S.P.); (C.C.)
- Department of Physics, University of Florence, 50019 Sesto Fiorentino, Italy
- National Institute of Optics, National Research Council, 50019 Sesto Fiorentino, Italy
| | - Caterina Credi
- European Laboratory for Non-Linear Spectroscopy, University of Florence, 50019 Sesto Fiorentino, Italy; (R.I.); (F.S.P.); (C.C.)
- National Institute of Optics, National Research Council, 50019 Sesto Fiorentino, Italy
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26
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Iancu SD, Cozan RG, Stefancu A, David M, Moisoiu T, Moroz-Dubenco C, Bajcsi A, Chira C, Andreica A, Leopold LF, Eniu D, Staicu A, Goidescu I, Socaciu C, Eniu DT, Diosan L, Leopold N. SERS liquid biopsy in breast cancer. What can we learn from SERS on serum and urine? SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 273:120992. [PMID: 35220052 DOI: 10.1016/j.saa.2022.120992] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 01/21/2022] [Accepted: 02/01/2022] [Indexed: 06/14/2023]
Abstract
SERS analysis of biofluids, coupled with classification algorithms, has recently emerged as a candidate for point-of-care medical diagnosis. Nonetheless, despite the impressive results reported in the literature, there are still gaps in our knowledge of the biochemical information provided by the SERS analysis of biofluids. Therefore, by a critical assignment of the SERS bands, our work aims to provide a systematic analysis of the molecular information that can be achieved from the SERS analysis of serum and urine obtained from breast cancer patients and controls. Further, we compared the relative performance of five different machine learning algorithms for breast cancer and control samples classification based on the serum and urine SERS datasets, and found comparable classification accuracies in the range of 61-89%. This result is not surprising since both biofluids show striking similarities in their SERS spectra providing similar metabolic information, related to purine metabolites. Lastly, by carefully comparing the two datasets (i.e., serum and urine) we show that it is possible to link the misclassified samples to specific metabolic imbalances, such as carotenoid levels, or variations in the creatinine concentration.
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Affiliation(s)
- Stefania D Iancu
- Faculty of Physics, Babeș-Bolyai University, 400084 Cluj-Napoca, Romania
| | - Ramona G Cozan
- Faculty of Physics, Babeș-Bolyai University, 400084 Cluj-Napoca, Romania
| | - Andrei Stefancu
- Faculty of Physics, Babeș-Bolyai University, 400084 Cluj-Napoca, Romania
| | - Maria David
- Faculty of Chemistry and Chemical Engineering, Babeș-Bolyai University, 400028 Cluj-Napoca, Romania
| | - Tudor Moisoiu
- Clinical Institute of Urology and Renal Transplant, 400006 Cluj-Napoca, Romania; Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania; Biomed Data Analytics SRL, 400696 Cluj-Napoca, Romania
| | - Cristiana Moroz-Dubenco
- Department of Computer Science, Faculty of Mathematics and Computer Science, Babeș-Bolyai University, 400084 Cluj-Napoca, Romania
| | - Adel Bajcsi
- Department of Computer Science, Faculty of Mathematics and Computer Science, Babeș-Bolyai University, 400084 Cluj-Napoca, Romania
| | - Camelia Chira
- Department of Computer Science, Faculty of Mathematics and Computer Science, Babeș-Bolyai University, 400084 Cluj-Napoca, Romania; Department of Computer Science, Faculty of Mathematics and Computer Science, Babeș-Bolyai University, 400084 Cluj-Napoca, Romania
| | - Anca Andreica
- Department of Computer Science, Faculty of Mathematics and Computer Science, Babeș-Bolyai University, 400084 Cluj-Napoca, Romania
| | - Loredana F Leopold
- Faculty of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania
| | - Daniela Eniu
- Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania
| | - Adelina Staicu
- Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania
| | - Iulian Goidescu
- Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania
| | - Carmen Socaciu
- Faculty of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania; BIODIATECH Research Centre for Applied Biotechnology, SC Proplanta, 400478 Cluj-Napoca, Romania
| | - Dan T Eniu
- Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania; Department of Surgical and Gynecological Oncology, Ion Chiricuta Clinical Cancer Center, 400015 Cluj-Napoca, Romania
| | - Laura Diosan
- Department of Computer Science, Faculty of Mathematics and Computer Science, Babeș-Bolyai University, 400084 Cluj-Napoca, Romania.
| | - Nicolae Leopold
- Faculty of Physics, Babeș-Bolyai University, 400084 Cluj-Napoca, Romania; Biomed Data Analytics SRL, 400696 Cluj-Napoca, Romania.
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27
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Drăgan LR, Andras D, Fechete R. Fourier Transform Infrared (FT-IR) Spectroscopy and Proton Nuclear Magnetic Resonance ( 1H NMR) Relaxometry and Diffusometry for the Identification of Colorectal Cancer in Blood Plasma. ANAL LETT 2022. [DOI: 10.1080/00032719.2022.2065497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Lavinia Raluca Drăgan
- Faculty of Physics, Doctoral School, Babeş-Bolyai University, Cluj-Napoca, Romania
- Surgical Department, County Emergency Hospital, Cluj-Napoca, Romania
| | - David Andras
- Surgical Department, County Emergency Hospital, Cluj-Napoca, Romania
- Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Radu Fechete
- Faculty of Physics, Doctoral School, Babeş-Bolyai University, Cluj-Napoca, Romania
- Faculty of Material and Environmental Engineering, Technical University of Cluj-Napoca, Cluj-Napoca, Romania
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28
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Targeting non-coding RNAs to overcome cancer therapy resistance. Signal Transduct Target Ther 2022; 7:121. [PMID: 35418578 PMCID: PMC9008121 DOI: 10.1038/s41392-022-00975-3] [Citation(s) in RCA: 143] [Impact Index Per Article: 71.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 03/07/2022] [Accepted: 03/07/2022] [Indexed: 02/07/2023] Open
Abstract
It is now well known that non-coding RNAs (ncRNAs), rather than protein-coding transcripts, are the preponderant RNA transcripts. NcRNAs, particularly microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs), are widely appreciated as pervasive regulators of multiple cancer hallmarks such as proliferation, apoptosis, invasion, metastasis, and genomic instability. Despite recent discoveries in cancer therapy, resistance to chemotherapy, radiotherapy, targeted therapy, and immunotherapy continue to be a major setback. Recent studies have shown that ncRNAs also play a major role in resistance to different cancer therapies by rewiring essential signaling pathways. In this review, we present the intricate mechanisms through which dysregulated ncRNAs control resistance to the four major types of cancer therapies. We will focus on the current clinical implications of ncRNAs as biomarkers to predict treatment response (intrinsic resistance) and to detect resistance to therapy after the start of treatment (acquired resistance). Furthermore, we will present the potential of targeting ncRNA to overcome cancer treatment resistance, and we will discuss the challenges of ncRNA-targeted therapy—especially the development of delivery systems.
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29
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Moisoiu T, Dragomir MP, Iancu SD, Schallenberg S, Birolo G, Ferrero G, Burghelea D, Stefancu A, Cozan RG, Licarete E, Allione A, Matullo G, Iacob G, Bálint Z, Badea RI, Naccarati A, Horst D, Pardini B, Leopold N, Elec F. Combined miRNA and SERS urine liquid biopsy for the point-of-care diagnosis and molecular stratification of bladder cancer. Mol Med 2022; 28:39. [PMID: 35365098 PMCID: PMC8973824 DOI: 10.1186/s10020-022-00462-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 03/07/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Bladder cancer (BC) has the highest per-patient cost of all cancer types. Hence, we aim to develop a non-invasive, point-of-care tool for the diagnostic and molecular stratification of patients with BC based on combined microRNAs (miRNAs) and surface-enhanced Raman spectroscopy (SERS) profiling of urine. METHODS Next-generation sequencing of the whole miRNome and SERS profiling were performed on urine samples collected from 15 patients with BC and 16 control subjects (CTRLs). A retrospective cohort (BC = 66 and CTRL = 50) and RT-qPCR were used to confirm the selected differently expressed miRNAs. Diagnostic accuracy was assessed using machine learning algorithms (logistic regression, naïve Bayes, and random forest), which were trained to discriminate between BC and CTRL, using as input either miRNAs, SERS, or both. The molecular stratification of BC based on miRNA and SERS profiling was performed to discriminate between high-grade and low-grade tumors and between luminal and basal types. RESULTS Combining SERS data with three differentially expressed miRNAs (miR-34a-5p, miR-205-3p, miR-210-3p) yielded an Area Under the Curve (AUC) of 0.92 ± 0.06 in discriminating between BC and CTRL, an accuracy which was superior either to miRNAs (AUC = 0.84 ± 0.03) or SERS data (AUC = 0.84 ± 0.05) individually. When evaluating the classification accuracy for luminal and basal BC, the combination of miRNAs and SERS profiling averaged an AUC of 0.95 ± 0.03 across the three machine learning algorithms, again better than miRNA (AUC = 0.89 ± 0.04) or SERS (AUC = 0.92 ± 0.05) individually, although SERS alone performed better in terms of classification accuracy. CONCLUSION miRNA profiling synergizes with SERS profiling for point-of-care diagnostic and molecular stratification of BC. By combining the two liquid biopsy methods, a clinically relevant tool that can aid BC patients is envisaged.
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Affiliation(s)
- Tudor Moisoiu
- Clinical Institute of Urology and Renal Transplantation, 400006, Cluj-Napoca, Romania.,Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania.,Biomed Data Analytics SRL, 400696, Cluj-Napoca, Romania
| | - Mihnea P Dragomir
- Institute of Pathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin and Berlin Institute of Health, 10117, Berlin, Germany. .,German Cancer Consortium (DKTK), Partner Site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Stefania D Iancu
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Simon Schallenberg
- Institute of Pathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin and Berlin Institute of Health, 10117, Berlin, Germany
| | - Giovanni Birolo
- Department of Medical Sciences, University of Turin, 10126, Turin, Italy
| | - Giulio Ferrero
- Department of Clinical and Biological Sciences, University of Turin, Regione Gonzole, 10, 10043, Orbassano, Italy
| | - Dan Burghelea
- Clinical Institute of Urology and Renal Transplantation, 400006, Cluj-Napoca, Romania.,Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania
| | - Andrei Stefancu
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Ramona G Cozan
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Emilia Licarete
- Faculty of Biology, Babeș-Bolyai University, 400015, Cluj-Napoca, Romania
| | - Alessandra Allione
- Department of Medical Sciences, University of Turin, 10126, Turin, Italy
| | - Giuseppe Matullo
- Department of Medical Sciences, University of Turin, 10126, Turin, Italy
| | - Gheorghita Iacob
- Clinical Institute of Urology and Renal Transplantation, 400006, Cluj-Napoca, Romania
| | - Zoltán Bálint
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Radu I Badea
- Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania.,Octavian Fodor Regional Institute of Gastroenterology and Hepatology, 400162, Cluj-Napoca, Romania
| | - Alessio Naccarati
- Candiolo Cancer Institute-FPO IRCCS, 10060, Candiolo, Turin, Italy.,Italian Institute for Genomic Medicine (IIGM), IRCCS Candiolo, 10060, Candiolo, Turin, Italy
| | - David Horst
- Institute of Pathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin and Berlin Institute of Health, 10117, Berlin, Germany.,German Cancer Consortium (DKTK), Partner Site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Barbara Pardini
- Candiolo Cancer Institute-FPO IRCCS, 10060, Candiolo, Turin, Italy. .,Italian Institute for Genomic Medicine (IIGM), IRCCS Candiolo, 10060, Candiolo, Turin, Italy.
| | - Nicolae Leopold
- Biomed Data Analytics SRL, 400696, Cluj-Napoca, Romania. .,Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania.
| | - Florin Elec
- Clinical Institute of Urology and Renal Transplantation, 400006, Cluj-Napoca, Romania. .,Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania.
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30
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Spectroscopic Study of Phytosynthesized Ag Nanoparticles and Their Activity as SERS Substrate. CHEMOSENSORS 2022. [DOI: 10.3390/chemosensors10040129] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
The affordable and scalable synthesis of noble metal nanoparticles that are biocompatible without additional functionalization steps has been a growing field of research, stimulated by numerous prospective applications of these NPs. In the case of phytosynthesized or biogenic noble metal NPs, the mechanism of NP stabilization by biomolecules contained in each particular plant extract or living organism determines the possible applications of these NPs. In this work, we investigated Ag NPs synthesized in water with plant extracts of common toothwort (Lathraea squamaria) and two species of pepper (Capsicum annuum and Capsicum chinense). From FTIR and XPS, we drew conclusions about the composition of the functional groups and molecules that stabilize NPs in each extract, such as polysaccharide compounds (pectins, cellulose, glycosides and phenolic acids). Distinct characteristic IR features of amide I and amide II proteins were observed, which are common in plant extracts, while features of amide III were not distinctly observed in our extracts. A Raman spectroscopy study revealed weak own-SERS activity of the biomolecules of the extract and high efficiency of the NPs in the enhancement of “external” analytes, such as dyes and antibodies. This is the first report of the efficient SERS application of phytosynthesized Ag NPs.
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31
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Zacharovas E, Velička M, Platkevičius G, Čekauskas A, Želvys A, Niaura G, Šablinskas V. Toward a SERS Diagnostic Tool for Discrimination between Cancerous and Normal Bladder Tissues via Analysis of the Extracellular Fluid. ACS OMEGA 2022; 7:10539-10549. [PMID: 35382275 PMCID: PMC8973049 DOI: 10.1021/acsomega.2c00058] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 03/03/2022] [Indexed: 05/09/2023]
Abstract
Vibrational spectroscopy provides the possibility for sensitive and precise detection of chemical changes in biomolecules due to development of cancers. In this work, label-free near-infrared surface enhanced Raman spectroscopy (SERS) was applied for the differentiation between cancerous and normal human bladder tissues via analysis of the extracellular fluid of the tissue. Specific cancer-related SERS marker bands were identified by using a 1064 nm excitation wavelength. The prominent spectral marker band was found to be located near 1052 cm-1 and was assigned to the C-C, C-O, and C-N stretching vibrations of lactic acid and/or cysteine molecules. The correct identification of 80% of samples is achieved with even limited data set and could be further improved. The further development of such a detection method could be implemented in clinical practice for the aid of surgeons in determining of boundaries of malignant tumors during the surgery.
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Affiliation(s)
- Edvinas Zacharovas
- Institute
of Chemical Physics, Faculty of Physics, Vilnius University, Saulėtekis Avenue 3, LT-10257 Vilnius, Lithuania
| | - Martynas Velička
- Institute
of Chemical Physics, Faculty of Physics, Vilnius University, Saulėtekis Avenue 3, LT-10257 Vilnius, Lithuania
| | - Gediminas Platkevičius
- Clinic
of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical
Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio st. 21/27, LT-03101 Vilnius, Lithuania
| | - Albertas Čekauskas
- Clinic
of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical
Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio st. 21/27, LT-03101 Vilnius, Lithuania
| | - Aru̅nas Želvys
- Clinic
of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical
Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio st. 21/27, LT-03101 Vilnius, Lithuania
| | - Gediminas Niaura
- Institute
of Chemical Physics, Faculty of Physics, Vilnius University, Saulėtekis Avenue 3, LT-10257 Vilnius, Lithuania
- Department
of Organic Chemistry, Center for Physical
Sciences and Technology (FTMC), Saulėtekis Avenue 3, LT 10257, Vilnius, Lithuania
| | - Valdas Šablinskas
- Institute
of Chemical Physics, Faculty of Physics, Vilnius University, Saulėtekis Avenue 3, LT-10257 Vilnius, Lithuania
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32
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Fornasaro S, Sergo V, Bonifacio A. The key role of ergothioneine in label‐free surface‐enhanced Raman scattering spectra of biofluids: a retrospective re‐assessment of the literature. FEBS Lett 2022; 596:1348-1355. [DOI: 10.1002/1873-3468.14312] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 01/21/2022] [Accepted: 02/02/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Stefano Fornasaro
- Raman Spectroscopy Lab Department of Engineering and Architecture University of Trieste 34127 Trieste Italy
| | - Valter Sergo
- Raman Spectroscopy Lab Department of Engineering and Architecture University of Trieste 34127 Trieste Italy
- Health Sciences Dept University of Macau SAR Macau China
| | - Alois Bonifacio
- Raman Spectroscopy Lab Department of Engineering and Architecture University of Trieste 34127 Trieste Italy
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33
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Lu Y, Lin L, Ye J. Human metabolite detection by surface-enhanced Raman spectroscopy. Mater Today Bio 2022; 13:100205. [PMID: 35118368 PMCID: PMC8792281 DOI: 10.1016/j.mtbio.2022.100205] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 01/15/2022] [Accepted: 01/16/2022] [Indexed: 12/17/2022]
Abstract
Metabolites are important biomarkers in human body fluids, conveying direct information of cellular activities and physical conditions. Metabolite detection has long been a research hotspot in the field of biology and medicine. Surface-enhanced Raman spectroscopy (SERS), based on the molecular “fingerprint” of Raman spectrum and the enormous signal enhancement (down to a single-molecule level) by plasmonic nanomaterials, has proven to be a novel and powerful tool for metabolite detection. SERS provides favorable properties such as ultra-sensitive, label-free, rapid, specific, and non-destructive detection processes. In this review, we summarized the progress in recent 10 years on SERS-based sensing of endogenous metabolites at the cellular level, in tissues, and in biofluids, as well as drug metabolites in biofluids. We made detailed discussions on the challenges and optimization methods of SERS technique in metabolite detection. The combination of SERS with modern biomedical technology were also anticipated.
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Affiliation(s)
- Yao Lu
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, PR China
| | - Li Lin
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, PR China
- Corresponding author.
| | - Jian Ye
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, PR China
- Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, PR China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200240, PR China
- Corresponding author. State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, PR China.
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