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Ran C, Zhang JL, He X, Luo C, Zhang Q, Shen Y, Yin L. Recent development of gold nanochips in biosensing and biodiagnosis sensibilization strategies in vitro based on SPR, SERS and FRET optical properties. Talanta 2024; 282:126936. [PMID: 39362039 DOI: 10.1016/j.talanta.2024.126936] [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: 07/01/2024] [Revised: 09/07/2024] [Accepted: 09/23/2024] [Indexed: 10/05/2024]
Abstract
Gold nanomaterials have become attractive nanomaterials for biomedical research due to their unique physical and chemical properties, and nanochips are designed to manufacture high-quality substrates for loading gold nanoparticles (GNPs) to achieve specific and selective detection. By utilizing multiple optical properties of different gold nanostructures, the sensitivity, specificity, speed, contrast, resolution, and other performance of biosensing and biological diagnosis can be significantly improved. This paper summarized the sensitivity enhancement strategies of optical biosensing techniques based on the three main optical properties of gold nanomaterials: surface plasmon resonance (SPR), surface-enhanced Raman scattering (SERS) and fluorescence resonance energy transfer (FRET). The aim is to comprehensively review the development direction of in vitro diagnostics (IVDs) from two aspects: detection strategies and modification of gold nanomaterials. In addition, some opportunities and challenges that gold-based IVDs may encounter at present or in the future are also mentioned in this paper. In summary, this paper can enlighten readers with feasible strategies for manufacturing potential gold-based nanobiosensors.
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Affiliation(s)
- Chuanjiang Ran
- Department of Pharmaceutics, School of Pharmacy, China Pharmaceutical University, Nanjing, 210019, Jiangsu Province, People's Republic of China
| | - Jin-Lin Zhang
- Department of Pharmaceutics, School of Pharmacy, China Pharmaceutical University, Nanjing, 210019, Jiangsu Province, People's Republic of China; Jiangsu Institute for Food and Drug Control, Nanjing, 210019, Jiangsu Province, People's Republic of China
| | - Xinyue He
- Department of Pharmaceutics, School of Pharmacy, China Pharmaceutical University, Nanjing, 210019, Jiangsu Province, People's Republic of China
| | - Changyou Luo
- Department of Pharmaceutics, School of Pharmacy, China Pharmaceutical University, Nanjing, 210019, Jiangsu Province, People's Republic of China
| | - Qingjie Zhang
- Department of Pharmaceutics, School of Pharmacy, China Pharmaceutical University, Nanjing, 210019, Jiangsu Province, People's Republic of China
| | - Yan Shen
- Department of Pharmaceutics, School of Pharmacy, China Pharmaceutical University, Nanjing, 210019, Jiangsu Province, People's Republic of China.
| | - Lifang Yin
- Department of Pharmaceutics, School of Pharmacy, China Pharmaceutical University, Nanjing, 210019, Jiangsu Province, People's Republic of China.
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Saridag AM, Karagoz ID, Wachsmann-Hogiu S, Kahraman M. Diatomite-Based, Flexible SERS Immunosensor Platform for Rapid, Specific, and Sensitive Detection of Circulating Cancer-Specific Protein Biomarkers in Serum Using Raman Probes. ACS APPLIED BIO MATERIALS 2024; 7:1878-1887. [PMID: 38414330 DOI: 10.1021/acsabm.3c01253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
Cancer is one of the most actively researched diseases having a high mortality rate when not detected at an early stage. Thus, rapid, simultaneous, and sensitive quantification of cancer biomarkers plays an important role in early diagnosis, with patient impact to disability adjusted life years. Herein, a diatomite-based SERS flexible platform for the rapid and sensitive detection of circulating cancer-specific protein biomarkers in serum is presented. In this approach, diatomite/AgNPs strips with maximum SERS activity prepared using the layer-by-layer (LbL) technique were modified with specific antibodies, and specific antigens (HER2, CA15-3, PSA, and MUC4) were captured and detected. By using Raman probes specific to the captured antigens in serum, a SERS limit of detection (LOD) of 0.1 ng/mL was measured (calculated LOD < 0.1 ng/mL). This value is lower than the cutoff amount of cancer antigens in the person's blood. The specificity for the antigens of each antibody was calculated to be higher than 95%. As a result, an immunosensor for rapid detection of cancer biomarkers in serum with good specificity, high sensitivity, good reproducibility, and low cost has been demonstrated. Overall, we show that the prepared diatomite-based SERS substrate with a high surface-to-volume ratio is a useable platform for immunoassay tests.
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Affiliation(s)
- Ayse Mine Saridag
- Department of Chemistry, Faculty of Arts and Sciences, Gaziantep University, 27310 Gaziantep, Turkey
| | - Isik Didem Karagoz
- Department of Biology, Faculty of Arts and Sciences, Gaziantep University, 27310 Gaziantep, Turkey
| | | | - Mehmet Kahraman
- Department of Chemistry, Faculty of Arts and Sciences, Gaziantep University, 27310 Gaziantep, Turkey
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Cao Y, Xiong J, Du Y, Tang Y, Yin L. Raman spectroscopy combined with multivariate statistical algorithms for the simultaneous screening of cervical and breast cancers. Lasers Med Sci 2024; 39:68. [PMID: 38374512 DOI: 10.1007/s10103-024-04019-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 02/11/2024] [Indexed: 02/21/2024]
Abstract
Breast and cervical cancers are becoming the leading causes of death among women worldwide, but current diagnostic methods have many drawbacks, such as being time-consuming and high cost. Raman spectroscopy, as a rapid, reliable, and non-destructive spectroscopic detection technique, has achieved many breakthrough results in the screening and prognosis of various cancer tumors. Therefore, in this study, Raman spectroscopy technology was used to diagnose breast cancer and cervical cancer. A total of 225 spectra were recorded from 87 patients with cervical cancer, 60 patients with breast cancer, and 78 healthy individuals. The obvious difference in Raman spectrum between the three groups was mainly shown at 809 cm-1 (tyrosine), 958 cm-1 (carotenoid), 1004 cm-1 (phenylalanine), 1154 cm-1 (β-carotene), 1267 cm-1 (Amide III), 1445 cm-1 (phospholipids), 1515 cm-1 (β-carotene), and 1585 cm-1 (C = C olefinic stretch). We used one-way analysis of variance for these peaks and demonstrated that they were significantly different. Then, we combined the detected Raman spectra with multivariate statistical calculations using the principal component analysis-linear discrimination algorithm (PCA-LDA) to discriminate between the three groups of collected serum samples. The diagnostic results showed that the model's accuracy, precision, recall, and F1 score of the model were 92.90%, 92.62%, 92.10%, and 92.36%, respectively. These results suggest that Raman spectroscopy can achieve ultra-sensitive detection of serum, and the developed diagnostic models have great potential for the prognosis and simultaneous screening of cervical and breast cancers.
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Affiliation(s)
- Yue Cao
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China
| | - Jiaran Xiong
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China
| | - Yu Du
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China
| | - Yishu Tang
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China.
| | - Longfei Yin
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
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Xu Q, Li T, Lin J, Wu X. Label-free screening of common urinary system tumors from blood plasma based on surface-enhanced Raman spectroscopy. Photodiagnosis Photodyn Ther 2024; 45:103900. [PMID: 38081568 DOI: 10.1016/j.pdpdt.2023.103900] [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: 10/08/2023] [Revised: 11/05/2023] [Accepted: 11/17/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND The incidence of common urinary system tumors has been rising rapidly in recent years, and most urinary system-derived tumors lack specific biomarkers. OBJECTIVES To explore the efficacy of surface-enhanced Raman spectroscopy (SERS) of blood plasma in screening three common urinary system tumors, including bladder cancer (BC), prostate cancer (PCa), and renal cell carcinoma (RCC). METHODS SERS plasma spectra from 125 plasma samples, including 25 PCa, 38 RCC, 24 BC patients, and 38 normal volunteers, were collected. All candidates had no other comorbidities. The Diagnosis was based on the combination of Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), and the effectiveness of the diagnostic algorithms was verified using the Receiver Operating Characteristic Curve (ROC). RESULTS There are significant differences in SERS signals between PCa, BC, RCC, and normal plasma, especially at 639, 889, 1010, 1136, and 1205 cm-1. The PCA-LDA results show that high sensitivity (100 %), specificity (100 %), and accuracy (100 %) could be achieved for screening the PCa, RCC, BC group vs. the normal group, the PCa group vs. the BC and RCC group, respectively. The diagnostic sensitivity, specificity, and accuracy for the BC group vs. the RCC group are 79.2 %, 71.1 %, and 75.15 %, respectively. The integrated area under the ROC curve (AUC) is 1.0, 1.0, and 1.0 for the PCa, RCC, and BC group vs. the normal group, respectively. The AUC of the PCa group vs. the BC group and RCC group and the BC group vs. the RCC group are 1.0, 1.0, and 0.842, respectively. CONCLUSIONS Label-free plasma-SERS technology with PCA-LDA analysis could be a useful screening method for detecting urinary system tumors (PCa, RCC, and BC) in this exploratory study.
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Affiliation(s)
- Qingjiang Xu
- Provincial Clinical Medical College of Fujian Medical University, Fuzhou 350001, China; Department of Urology, Fujian Provincial Hospital, Fuzhou 350001, China
| | - Tao Li
- Provincial Clinical Medical College of Fujian Medical University, Fuzhou 350001, China; Department of Urology, Fujian Provincial Hospital, Fuzhou 350001, China
| | - Juqiang Lin
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, and Affiliated Hospital, Fujian Normal University, Fuzhou, China; School of Opto-electronic and Communication Engineering, Xiamen University of Technology, Xiamen, China.
| | - Xiang Wu
- Provincial Clinical Medical College of Fujian Medical University, Fuzhou 350001, China; Department of Urology, Fujian Provincial Hospital, Fuzhou 350001, China.
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Buhas BA, Toma V, Crisan N, Ploussard G, Maghiar TA, Știufiuc RI, Lucaciu CM. High-Accuracy Renal Cell Carcinoma Discrimination through Label-Free SERS of Blood Serum and Multivariate Analysis. BIOSENSORS 2023; 13:813. [PMID: 37622899 PMCID: PMC10452371 DOI: 10.3390/bios13080813] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/07/2023] [Accepted: 08/09/2023] [Indexed: 08/26/2023]
Abstract
Renal cell carcinoma (RCC) represents the sixth most frequently diagnosed cancer in men and is asymptomatic, being detected mostly incidentally. The apparition of symptoms correlates with advanced disease, aggressive histology, and poor outcomes. The development of the Surface-Enhanced Raman Scattering (SERS) technique opened the way for investigating and detecting small molecules, especially in biological liquids such as serum or blood plasma, urine, saliva, and tears, and was proposed as a simple technique for the diagnosis of various diseases, including cancer. In this study, we investigated the use of serum label-free SERS combined with two multivariate analysis tests: Principal Component Analysis combined with Linear Discriminate Analysis (PCA-LDA) and Supported Vector Machine (SVM) for the discrimination of 50 RCC cancer patients from 45 apparently healthy donors. In the case of LDA-PCA, we obtained a discrimination accuracy of 100% using 12 principal components and a quadratic discrimination function. The accuracy of discrimination between RCC stages was 88%. In the case of the SVM approach, we obtained a training accuracy of 100%, a validation accuracy of 92% for the discrimination between RCC and controls, and an accuracy of 81% for the discrimination between stages. We also performed standard statistical tests aimed at improving the assignment of the SERS vibration bands, which, according to our data, are mainly due to purinic metabolites (uric acid and hypoxanthine). Moreover, our results using these assignments and Student's t-test suggest that the main differences in the SERS spectra of RCC patients are due to an increase in the uric acid concentration (a conclusion in agreement with recent literature), while the hypoxanthine concentration is not statistically different between the two groups. Our results demonstrate that label-free SERS combined with chemometrics holds great promise for non-invasive and early detection of RCC. However, more studies are needed to validate this approach, especially when combined with other urological diseases.
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Affiliation(s)
- Bogdan Adrian Buhas
- Department of Urology, La Croix du Sud Hospital, 52 Chemin de Ribaute St., 31130 Quint Fonsegrives, France; (B.A.B.); (G.P.)
- Department of Urology, Clinical Municipal Hospital, 11 Tabacarilor St., 400139 Cluj-Napoca, Romania;
- Faculty of Medicine and Pharmacy, University of Oradea, 1 Universitatii St., 410087 Oradea, Romania;
| | - Valentin Toma
- Department of Nanobiophysics, MedFuture Research Center for Advanced Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 4-6 Pasteur St., 400337 Cluj-Napoca, Romania;
| | - Nicolae Crisan
- Department of Urology, Clinical Municipal Hospital, 11 Tabacarilor St., 400139 Cluj-Napoca, Romania;
- Department of Urology, “Iuliu Hatieganu” University of Medicine and Pharmacy, 8 Victor Babes St., 400347 Cluj-Napoca, Romania
| | - Guillaume Ploussard
- Department of Urology, La Croix du Sud Hospital, 52 Chemin de Ribaute St., 31130 Quint Fonsegrives, France; (B.A.B.); (G.P.)
| | - Teodor Andrei Maghiar
- Faculty of Medicine and Pharmacy, University of Oradea, 1 Universitatii St., 410087 Oradea, Romania;
| | - Rareș-Ionuț Știufiuc
- Department of Nanobiophysics, MedFuture Research Center for Advanced Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 4-6 Pasteur St., 400337 Cluj-Napoca, Romania;
- Department of Pharmaceutical Physics–Biophysics, Faculty of Pharmacy, “Iuliu Hatieganu” University of Medicine and Pharmacy, 6 Pasteur St., 400349 Cluj-Napoca, Romania
| | - Constantin Mihai Lucaciu
- Department of Pharmaceutical Physics–Biophysics, Faculty of Pharmacy, “Iuliu Hatieganu” University of Medicine and Pharmacy, 6 Pasteur St., 400349 Cluj-Napoca, Romania
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Borșa RM, Toma V, Onaciu A, Moldovan CS, Mărginean R, Cenariu D, Știufiuc GF, Dinu CM, Bran S, Opriș HO, Văcăraș S, Onișor-Gligor F, Sentea D, Băciuț MF, Iuga CA, Știufiuc RI. Developing New Diagnostic Tools Based on SERS Analysis of Filtered Salivary Samples for Oral Cancer Detection. Int J Mol Sci 2023; 24:12125. [PMID: 37569501 PMCID: PMC10418512 DOI: 10.3390/ijms241512125] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
Cancer still represents one of the biggest challenges in current medical practice. Among different types of cancer, oral cancer has a huge impact on patients due to its great visibility, which is more likely to create social stigma and increased anxiety. New early diagnose methods are still needed to improve treatment efficiency and patients' life quality. Raman/SERS (Surface Enhanced Raman Spectroscopy) spectroscopy has a unique and powerful potential for detecting specific molecules that can become priceless biomarkers in different pathologies, such as oral cancer. In this study, a batch of saliva samples obtained from a group of 17 patients with oro-maxillofacial pathologies compared with saliva samples from 18 healthy donors using the aforementioned methods were evaluated. At the same time, opiorphin, potassium thiocyanate and uric acid were evaluated as potential specific biomarkers for oro-maxillofacial pathologies using multivariate analysis. A careful examination of SERS spectra collected on saliva samples showed that the spectra are dominated by the vibrational bands of opiorphin, potassium thiocyanate and uric acid. Given the fact that all these small molecules are found in very small amounts, we filtrated all the samples to get rid of large molecules and to improve our analysis. By using solid plasmonic substrates, we were able to gain information about molecular concentration and geometry of interaction. On the other hand, the multivariate analysis of the salivary spectra contributed to developing a new detection method for oral cancer.
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Affiliation(s)
- Rareș-Mario Borșa
- Dental Medicine Faculty, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4, 400349 Cluj-Napoca, Romania; (R.-M.B.); (C.-M.D.); (S.B.); (H.-O.O.); (S.V.); (F.O.-G.); (M.-F.B.)
- Research Center for Advanced Medicine—MedFuture, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4-6, 400337 Cluj-Napoca, Romania; (V.T.); (A.O.); (C.-S.M.); (R.M.); (D.C.); (C.-A.I.)
| | - Valentin Toma
- Research Center for Advanced Medicine—MedFuture, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4-6, 400337 Cluj-Napoca, Romania; (V.T.); (A.O.); (C.-S.M.); (R.M.); (D.C.); (C.-A.I.)
| | - Anca Onaciu
- Research Center for Advanced Medicine—MedFuture, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4-6, 400337 Cluj-Napoca, Romania; (V.T.); (A.O.); (C.-S.M.); (R.M.); (D.C.); (C.-A.I.)
| | - Cristian-Silviu Moldovan
- Research Center for Advanced Medicine—MedFuture, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4-6, 400337 Cluj-Napoca, Romania; (V.T.); (A.O.); (C.-S.M.); (R.M.); (D.C.); (C.-A.I.)
| | - Radu Mărginean
- Research Center for Advanced Medicine—MedFuture, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4-6, 400337 Cluj-Napoca, Romania; (V.T.); (A.O.); (C.-S.M.); (R.M.); (D.C.); (C.-A.I.)
| | - Diana Cenariu
- Research Center for Advanced Medicine—MedFuture, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4-6, 400337 Cluj-Napoca, Romania; (V.T.); (A.O.); (C.-S.M.); (R.M.); (D.C.); (C.-A.I.)
| | | | - Cristian-Mihail Dinu
- Dental Medicine Faculty, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4, 400349 Cluj-Napoca, Romania; (R.-M.B.); (C.-M.D.); (S.B.); (H.-O.O.); (S.V.); (F.O.-G.); (M.-F.B.)
- Department of Maxillofacial Surgery and Implantology, “Iuliu Hațieganu” University of Medicine and Pharmacy, Iuliu Hossu 37, 400029 Cluj-Napoca, Romania
- County Emergency Hospital Cluj, Clinicilor 3-5, 400006 Cluj-Napoca, Romania;
| | - Simion Bran
- Dental Medicine Faculty, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4, 400349 Cluj-Napoca, Romania; (R.-M.B.); (C.-M.D.); (S.B.); (H.-O.O.); (S.V.); (F.O.-G.); (M.-F.B.)
- Department of Maxillofacial Surgery and Implantology, “Iuliu Hațieganu” University of Medicine and Pharmacy, Iuliu Hossu 37, 400029 Cluj-Napoca, Romania
- County Emergency Hospital Cluj, Clinicilor 3-5, 400006 Cluj-Napoca, Romania;
| | - Horia-Octavian Opriș
- Dental Medicine Faculty, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4, 400349 Cluj-Napoca, Romania; (R.-M.B.); (C.-M.D.); (S.B.); (H.-O.O.); (S.V.); (F.O.-G.); (M.-F.B.)
- Department of Maxillofacial Surgery and Implantology, “Iuliu Hațieganu” University of Medicine and Pharmacy, Iuliu Hossu 37, 400029 Cluj-Napoca, Romania
- County Emergency Hospital Cluj, Clinicilor 3-5, 400006 Cluj-Napoca, Romania;
| | - Sergiu Văcăraș
- Dental Medicine Faculty, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4, 400349 Cluj-Napoca, Romania; (R.-M.B.); (C.-M.D.); (S.B.); (H.-O.O.); (S.V.); (F.O.-G.); (M.-F.B.)
- Department of Maxillofacial Surgery and Implantology, “Iuliu Hațieganu” University of Medicine and Pharmacy, Iuliu Hossu 37, 400029 Cluj-Napoca, Romania
- County Emergency Hospital Cluj, Clinicilor 3-5, 400006 Cluj-Napoca, Romania;
| | - Florin Onișor-Gligor
- Dental Medicine Faculty, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4, 400349 Cluj-Napoca, Romania; (R.-M.B.); (C.-M.D.); (S.B.); (H.-O.O.); (S.V.); (F.O.-G.); (M.-F.B.)
- Department of Maxillofacial Surgery and Implantology, “Iuliu Hațieganu” University of Medicine and Pharmacy, Iuliu Hossu 37, 400029 Cluj-Napoca, Romania
- County Emergency Hospital Cluj, Clinicilor 3-5, 400006 Cluj-Napoca, Romania;
| | - Dorin Sentea
- County Emergency Hospital Cluj, Clinicilor 3-5, 400006 Cluj-Napoca, Romania;
| | - Mihaela-Felicia Băciuț
- Dental Medicine Faculty, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4, 400349 Cluj-Napoca, Romania; (R.-M.B.); (C.-M.D.); (S.B.); (H.-O.O.); (S.V.); (F.O.-G.); (M.-F.B.)
- Department of Maxillofacial Surgery and Implantology, “Iuliu Hațieganu” University of Medicine and Pharmacy, Iuliu Hossu 37, 400029 Cluj-Napoca, Romania
- County Emergency Hospital Cluj, Clinicilor 3-5, 400006 Cluj-Napoca, Romania;
| | - Cristina-Adela Iuga
- Research Center for Advanced Medicine—MedFuture, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4-6, 400337 Cluj-Napoca, Romania; (V.T.); (A.O.); (C.-S.M.); (R.M.); (D.C.); (C.-A.I.)
- Department of Pharmaceutical Analysis, Faculty of Pharmacy, “Iuliu Hațieganu” University of Medicine and Pharmacy, Pasteur 6, 400349 Cluj-Napoca, Romania
| | - Rareș-Ionuț Știufiuc
- Research Center for Advanced Medicine—MedFuture, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 4-6, 400337 Cluj-Napoca, Romania; (V.T.); (A.O.); (C.-S.M.); (R.M.); (D.C.); (C.-A.I.)
- Department of Pharmaceutical Physics-Biophysics, Faculty of Pharmacy, “Iuliu Hatieganu” University of Medicine and Pharmacy, Pasteur 6, 400349 Cluj-Napoca, Romania
- TRANSCEND Research Center, Regional Institute of Oncology, 700483 Iasi, Romania
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Quesnel A, Coles N, Angione C, Dey P, Polvikoski TM, Outeiro TF, Islam M, Khundakar AA, Filippou PS. Glycosylation spectral signatures for glioma grade discrimination using Raman spectroscopy. BMC Cancer 2023; 23:174. [PMID: 36809974 PMCID: PMC9942363 DOI: 10.1186/s12885-023-10588-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 01/12/2023] [Accepted: 01/27/2023] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND Gliomas are the most common brain tumours with the high-grade glioblastoma representing the most aggressive and lethal form. Currently, there is a lack of specific glioma biomarkers that would aid tumour subtyping and minimally invasive early diagnosis. Aberrant glycosylation is an important post-translational modification in cancer and is implicated in glioma progression. Raman spectroscopy (RS), a vibrational spectroscopic label-free technique, has already shown promise in cancer diagnostics. METHODS RS was combined with machine learning to discriminate glioma grades. Raman spectral signatures of glycosylation patterns were used in serum samples and fixed tissue biopsy samples, as well as in single cells and spheroids. RESULTS Glioma grades in fixed tissue patient samples and serum were discriminated with high accuracy. Discrimination between higher malignant glioma grades (III and IV) was achieved with high accuracy in tissue, serum, and cellular models using single cells and spheroids. Biomolecular changes were assigned to alterations in glycosylation corroborated by analysing glycan standards and other changes such as carotenoid antioxidant content. CONCLUSION RS combined with machine learning could pave the way for more objective and less invasive grading of glioma patients, serving as a useful tool to facilitate glioma diagnosis and delineate biomolecular glioma progression changes.
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Affiliation(s)
- Agathe Quesnel
- School of Health & Life Sciences, Teesside University, TS1 3BX, Middlesbrough, UK
- National Horizons Centre, Teesside University, 38 John Dixon Ln, DL1 1HG, Darlington, UK
| | - Nathan Coles
- School of Health & Life Sciences, Teesside University, TS1 3BX, Middlesbrough, UK
- National Horizons Centre, Teesside University, 38 John Dixon Ln, DL1 1HG, Darlington, UK
| | - Claudio Angione
- National Horizons Centre, Teesside University, 38 John Dixon Ln, DL1 1HG, Darlington, UK
- School of Computing, Engineering & Digital Technologies, Teesside University, Darlington, UK
- Centre for Digital Innovation, Teesside University, Darlington, UK
| | - Priyanka Dey
- School of Health & Life Sciences, Teesside University, TS1 3BX, Middlesbrough, UK
- National Horizons Centre, Teesside University, 38 John Dixon Ln, DL1 1HG, Darlington, UK
- School of Pharmacy and Biomedical Sciences, University of Portsmouth, PO1 2UP, Portsmouth, UK
| | - Tuomo M Polvikoski
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Tiago F Outeiro
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center, Göttingen, Germany
- Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Göttingen, Germany
| | - Meez Islam
- School of Health & Life Sciences, Teesside University, TS1 3BX, Middlesbrough, UK
- National Horizons Centre, Teesside University, 38 John Dixon Ln, DL1 1HG, Darlington, UK
| | - Ahmad A Khundakar
- School of Health & Life Sciences, Teesside University, TS1 3BX, Middlesbrough, UK
- National Horizons Centre, Teesside University, 38 John Dixon Ln, DL1 1HG, Darlington, UK
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Panagiota S Filippou
- School of Health & Life Sciences, Teesside University, TS1 3BX, Middlesbrough, UK.
- National Horizons Centre, Teesside University, 38 John Dixon Ln, DL1 1HG, Darlington, UK.
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Zhang B, Zhang Z, Gao B, Zhang F, Tian L, Zeng H, Wang S. Raman microspectroscopy based TNM staging and grading of breast cancer. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 285:121937. [PMID: 36201869 DOI: 10.1016/j.saa.2022.121937] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 09/23/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
The tumor-node-metastasis (TNM) system is the most common way that doctors determine the anatomical extent of cancer on the basis of clinical and pathological criteria. In this study, a spectral histopathological study has been carried out to bridge Raman micro spectroscopy with the breast cancer TNM system. A total of seventy breast tissue samples, including healthy tissue, early, middle, and advanced cancer, were investigated to provide detailed insights into compositional and structural variations that accompany breast malignant evolution. After evaluating the main spectral variations in all tissue types, the generalized discriminant analysis (GDA) pathological diagnostic model was established to discriminate the TNM staging and grading information. Moreover, micro-Raman images were reconstructed by K-means clustering analysis (KCA) for visualizing the lobular acinar in healthy tissue and ductal structures in all early, middle and advanced breast cancer tissue groups. While, univariate imaging techniques were adapted to describe the distribution differences of biochemical components such as tryptophan, β-carotene, proteins, and lipids in the scanned regions. The achieved spectral histopathological results not only established a spectra-structure correlations via tissue biochemical profiles but also provided important data and discriminative model references for in vivo Raman-based breast cancer diagnosis.
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Affiliation(s)
- Baoping Zhang
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710127, China
| | - Zhanqin Zhang
- Department of Anesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China
| | - Bingran Gao
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710127, China
| | - Furong Zhang
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710127, China
| | - Lu Tian
- Department of Physics, Northwest University, Xi'an, Shaanxi 710127, China
| | - Haishan Zeng
- Imaging Unit - Integrative Oncology Department, BC Cancer Research Center, Vancouver, BC V5Z 1L3, Canada
| | - Shuang Wang
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710127, China.
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9
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Differentiating Follicular Thyroid Carcinoma and Thyroid Adenoma by Using Near-Infrared Surface-Enhanced Raman Spectroscopy. Indian J Surg 2023. [DOI: 10.1007/s12262-023-03666-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
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10
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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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11
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Lin J, Weng Y, Lin X, Qiu S, Huang Z, Pan C, Li Y, Kong KV, Zhang X, Feng S. Highly Efficient Blood Protein Analysis Using Membrane Purification Technique and Super-Hydrophobic SERS Platform for Precise Screening and Staging of Nasopharyngeal Carcinoma. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:2724. [PMID: 35957154 PMCID: PMC9370769 DOI: 10.3390/nano12152724] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/18/2022] [Accepted: 08/04/2022] [Indexed: 06/15/2023]
Abstract
Early screening and precise staging are crucial for reducing mortality in patients with nasopharyngeal carcinoma (NPC). This study aimed to assess the performance of blood protein surface-enhanced Raman scattering (SERS) spectroscopy, combined with deep learning, for the precise detection of NPC. A highly efficient protein SERS analysis, based on a membrane purification technique and super-hydrophobic platform, was developed and applied to blood samples from 1164 subjects, including 225 healthy volunteers, 120 stage I, 249 stage II, 291 stage III, and 279 stage IV NPC patients. The proteins were rapidly purified from only 10 µL of blood plasma using the membrane purification technique. Then, the super-hydrophobic platform was prepared to pre-concentrate tiny amounts of proteins by forming a uniform deposition to provide repeatable SERS spectra. A total of 1164 high-quality protein SERS spectra were rapidly collected using a self-developed macro-Raman system. A convolutional neural network-based deep-learning algorithm was used to classify the spectra. An accuracy of 100% was achieved for distinguishing between the healthy and NPC groups, and accuracies of 96%, 96%, 100%, and 100% were found for the differential classification among the four NPC stages. This study demonstrated the great promise of SERS- and deep-learning-based blood protein testing for rapid, non-invasive, and precise screening and staging of NPC.
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Affiliation(s)
- Jinyong Lin
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou 350014, China
| | - Youliang Weng
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou 350014, China
| | - Xueliang Lin
- Fujian Provincial Key Laboratory for Advanced Micro-Nano Photonics Technology and Devices, Research Center for Photonics Technology, Quanzhou Normal University, Quanzhou 362046, China
| | - Sufang Qiu
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou 350014, China
| | - Zufang Huang
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China
| | - Changbin Pan
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China
| | - Ying Li
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou 350014, China
| | - Kien Voon Kong
- Department of Chemistry, National Taiwan University, Taipei 10617, Taiwan
| | - Xianzeng Zhang
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, 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 350007, China
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12
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New Insights into the Multivariate Analysis of SER Spectra Collected on Blood Samples for Prostate Cancer Detection: Towards a Better Understanding of the Role Played by Different Biomolecules on Cancer Screening: A Preliminary Study. Cancers (Basel) 2022; 14:cancers14133227. [PMID: 35804993 PMCID: PMC9264810 DOI: 10.3390/cancers14133227] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 06/24/2022] [Accepted: 06/27/2022] [Indexed: 11/24/2022] Open
Abstract
Simple Summary In recent years, research on biofluids using Raman and SERS has expanded dramatically, indicating the enormous promise of this technology as a high-throughput tool for identifying cancer and other disorders. In the investigations thus far, researchers have concentrated on a specific illness or condition, but the techniques employed to acquire experimental spectra prevent direct comparison of the data. This necessitates comparative research of a variety of diseases and an increase in scientific cooperation to standardize experimental conditions. In our study, positive results were reached by applying a combined SERS multivariate analysis (MVA) to the urgent problem of prostate cancer diagnosis that was directly linked to real-world settings in healthcare. Moreover, in comparison to the prostate-specific antigen (PSA) test, which has a high sensitivity but limited specificity, our combined SERS-MVA method has greater specificity, which may assist in preventing the overtreatment of patients. Abstract It is possible to obtain diagnostically relevant data on the changes in biochemical elements brought on by cancer via the use of multivariate analysis of vibrational spectra recorded on biological fluids. Prostate cancer and control groups included in this research generated almost similar SERS spectra, which means that the values of peak intensities present in SERS spectra can only give unspecific and limited information for distinguishing between the two groups. Our diagnostic algorithm for prostate cancer (PCa) differentiation was built using principal component analysis and linear discriminant analysis (PCA-LDA) analysis of spectral data, which has been widely used in spectral data management in many studies and has shown promising results so far. In order to fully utilize the entire SERS spectrum and automatically determine the most meaningful spectral features that can be used to differentiate PCa from healthy patients, we perform a multivariate analysis on both the entire and specific spectral intervals. Using the PCA-LDA model, the prostate cancer and control groups are clearly distinguished in our investigation. The separability of the following two data sets is also evaluated using two alternative discrimination techniques: principal least squares discriminant analysis (PLS-DA) and principal component analysis—support vector machine (PCA-SVM).
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13
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Lin Y, Qiu T, Lan Y, Li Z, Wang X, Zhou M, Li Q, Li Y, Liang J, Zhang J. Multi-Modal Optical Imaging and Combined Phototherapy of Nasopharyngeal Carcinoma Based on a Nanoplatform. Int J Nanomedicine 2022; 17:2435-2446. [PMID: 35656166 PMCID: PMC9151321 DOI: 10.2147/ijn.s357493] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 05/11/2022] [Indexed: 11/23/2022] Open
Abstract
Nasopharyngeal carcinoma (NPC) is a common malignant tumor of the head and neck with a high incidence rate worldwide, especially in southern China. Phototheranostics in combination with nanoparticles is an integrated strategy for enabling simultaneous diagnosis, real-time monitoring, and administration of precision therapy for nasopharyngeal carcinoma (NPC). It has shown great potential in the field of cancer diagnosis and treatment owing to its unique noninvasive advantages. Many Chinese and international research teams have applied nano-targeted drugs to optical diagnosis and treatment technology to conduct multimodal imaging and collaborative treatment of NPC, which has become a hot research topic. In this review, we aimed to introduce the recent developments in phototheranostics of NPC based on a nanoplatform. This study aimed to elaborate on the applications of nanoplatform-based optical imaging strategies and treatment modalities, including fluorescence imaging, photoacoustic imaging, Raman spectroscopy imaging, photodynamic therapy, and photothermal therapy. This study is expected to provide a scientific basis for further research and development of NPC diagnosis and treatment.
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Affiliation(s)
- Yanping Lin
- Department of Radiology, DongGuan Tungwah Hospital, DongGuan, Guangdong, 523000, People's Republic of China
| | - Ting Qiu
- Department of Radiology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, Guangdong, 519000, People's Republic of China
| | - Yintao Lan
- Department of Biomedical Engineering, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong, 511436, People's Republic of China
| | - Zhaoyong Li
- Department of Radiology, DongGuan Tungwah Hospital, DongGuan, Guangdong, 523000, People's Republic of China
| | - Xin Wang
- Department of Oncology, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, Guangdong, 511500, People's Republic of China
| | - Mengyu Zhou
- Department of Biomedical Engineering, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong, 511436, People's Republic of China
| | - Qiuyu Li
- Department of Radiology, DongGuan Tungwah Hospital, DongGuan, Guangdong, 523000, People's Republic of China
| | - Yao Li
- Department of Radiology, DongGuan Tungwah Hospital, DongGuan, Guangdong, 523000, People's Republic of China
| | - Junsheng Liang
- Department of Radiology, DongGuan Tungwah Hospital, DongGuan, Guangdong, 523000, People's Republic of China
| | - Jian Zhang
- Department of Biomedical Engineering, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong, 511436, People's Republic of China.,Department of Oncology, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, Guangdong, 511500, People's Republic of China
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14
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Kim WH, Lee JU, Jeon MJ, Park KH, Sim SJ. Three-dimensional hierarchical plasmonic nano-architecture based label-free surface-enhanced Raman spectroscopy detection of urinary exosomal miRNA for clinical diagnosis of prostate cancer. Biosens Bioelectron 2022; 205:114116. [DOI: 10.1016/j.bios.2022.114116] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 01/29/2022] [Accepted: 02/17/2022] [Indexed: 12/20/2022]
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15
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Kar S, Jaswandkar SV, Katti KS, Kang JW, So PTC, Paulmurugan R, Liepmann D, Venkatesan R, Katti DR. Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging. Sci Rep 2022; 12:8050. [PMID: 35577856 PMCID: PMC9110417 DOI: 10.1038/s41598-022-11800-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 04/25/2022] [Indexed: 11/09/2022] Open
Abstract
Metastatic prostate cancer colonizes the bone to pave the way for bone metastasis, leading to skeletal complications associated with poor prognosis and morbidity. This study demonstrates the feasibility of Raman imaging to differentiate between cancer cells at different stages of tumorigenesis using a nanoclay-based three-dimensional (3D) bone mimetic in vitro model that mimics prostate cancer bone metastasis. A comprehensive study comparing the classification of as received prostate cancer cells in a two-dimensional (2D) model and cancer cells in a 3D bone mimetic environment was performed over various time intervals using principal component analysis (PCA). Our results showed distinctive spectral differences in Raman imaging between prostate cancer cells and the cells cultured in 3D bone mimetic scaffolds, particularly at 1002, 1261, 1444, and 1654 cm-1, which primarily contain proteins and lipids signals. Raman maps capture sub-cellular responses with the progression of tumor cells into metastasis. Raman feature extraction via cluster analysis allows for the identification of specific cellular constituents in the images. For the first time, this work demonstrates a promising potential of Raman imaging, PCA, and cluster analysis to discriminate between cancer cells at different stages of metastatic tumorigenesis.
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Affiliation(s)
- Sumanta Kar
- Department of Civil, Construction and Environmental Engineering, Center for Engineered Cancer Testbeds, Materials and Nanotechnology Program, North Dakota State University, Fargo, ND, 58108, USA
| | - Sharad V Jaswandkar
- Department of Civil, Construction and Environmental Engineering, Center for Engineered Cancer Testbeds, Materials and Nanotechnology Program, North Dakota State University, Fargo, ND, 58108, USA
| | - Kalpana S Katti
- Department of Civil, Construction and Environmental Engineering, Center for Engineered Cancer Testbeds, Materials and Nanotechnology Program, North Dakota State University, Fargo, ND, 58108, USA
| | - Jeon Woong Kang
- Laser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, MB, 02139, Cambridge, USA
| | - Peter T C So
- Laser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, MB, 02139, Cambridge, USA
| | - Ramasamy Paulmurugan
- Cellular Pathway Imaging Laboratory (CPIL), Department of Radiology, Stanford University School of Medicine, 3155 Porter Drive, Suite 2236, Palo Alto, CA, 94304, USA
| | - Dorian Liepmann
- Department of Bioengineering, University of California, Berkeley, CA, USA
| | - Renugopalakrishnan Venkatesan
- Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, 02115, USA
| | - Dinesh R Katti
- Department of Civil, Construction and Environmental Engineering, Center for Engineered Cancer Testbeds, Materials and Nanotechnology Program, North Dakota State University, Fargo, ND, 58108, USA.
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16
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Plou J, Valera PS, García I, de Albuquerque CDL, Carracedo A, Liz-Marzán LM. Prospects of Surface-Enhanced Raman Spectroscopy for Biomarker Monitoring toward Precision Medicine. ACS PHOTONICS 2022; 9:333-350. [PMID: 35211644 PMCID: PMC8855429 DOI: 10.1021/acsphotonics.1c01934] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/21/2022] [Accepted: 01/24/2022] [Indexed: 05/14/2023]
Abstract
Future precision medicine will be undoubtedly sustained by the detection of validated biomarkers that enable a precise classification of patients based on their predicted disease risk, prognosis, and response to a specific treatment. Up to now, genomics, transcriptomics, and immunohistochemistry have been the main clinically amenable tools at hand for identifying key diagnostic, prognostic, and predictive biomarkers. However, other molecular strategies, including metabolomics, are still in their infancy and require the development of new biomarker detection technologies, toward routine implementation into clinical diagnosis. In this context, surface-enhanced Raman scattering (SERS) spectroscopy has been recognized as a promising technology for clinical monitoring thanks to its high sensitivity and label-free operation, which should help accelerate the discovery of biomarkers and their corresponding screening in a simpler, faster, and less-expensive manner. Many studies have demonstrated the excellent performance of SERS in biomedical applications. However, such studies have also revealed several variables that should be considered for accurate SERS monitoring, in particular, when the signal is collected from biological sources (tissues, cells or biofluids). This Perspective is aimed at piecing together the puzzle of SERS in biomarker monitoring, with a view on future challenges and implications. We address the most relevant requirements of plasmonic substrates for biomedical applications, as well as the implementation of tools from artificial intelligence or biotechnology to guide the development of highly versatile sensors.
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Affiliation(s)
- Javier Plou
- CIC
biomaGUNE, Basque Research
and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain
- Biomedical
Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine
(CIBER-BBN), 20014 Donostia-San Sebastián, Spain
- CIC
bioGUNE, Basque Research and Technology
Alliance (BRTA), 48160 Derio, Spain
| | - Pablo S. Valera
- CIC
biomaGUNE, Basque Research
and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain
- CIC
bioGUNE, Basque Research and Technology
Alliance (BRTA), 48160 Derio, Spain
| | - Isabel García
- CIC
biomaGUNE, Basque Research
and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain
- Biomedical
Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine
(CIBER-BBN), 20014 Donostia-San Sebastián, Spain
| | | | - Arkaitz Carracedo
- CIC
bioGUNE, Basque Research and Technology
Alliance (BRTA), 48160 Derio, Spain
- Biomedical
Research Networking Center in Cancer (CIBERONC), 48160, Derio, Spain
- Ikerbasque,
Basque Foundation for Science, 48009 Bilbao, Spain
- Translational
Prostate Cancer Research Lab, CIC bioGUNE-Basurto, Biocruces Bizkaia Health Research Institute, 48160 Derio, Spain
| | - Luis M. Liz-Marzán
- CIC
biomaGUNE, Basque Research
and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain
- Biomedical
Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine
(CIBER-BBN), 20014 Donostia-San Sebastián, Spain
- Ikerbasque,
Basque Foundation for Science, 48009 Bilbao, Spain
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17
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Chen X, Li X, Yang H, Xie J, Liu A. Diagnosis and staging of diffuse large B-cell lymphoma using label-free surface-enhanced Raman spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 267:120571. [PMID: 34752994 DOI: 10.1016/j.saa.2021.120571] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 10/24/2021] [Accepted: 10/28/2021] [Indexed: 05/27/2023]
Abstract
Non-invasive diagnosis and staging of diffuse large B-cell lymphoma (DLBCL) were achieved using label-free surface-enhanced Raman spectroscopy (SERS). SERS spectra were measured for serum samples of DLBCL patients at different progressive stages and healthy controls (HCs), using colloidal silver nano-particles (AgNPs) as the substrate. Differences in the spectral intensities of Raman peaks were observed between the DLBCL and HC groups, and a close correlation between the spectral intensities of Raman peaks with the progressive stages of the cancer was obtained, demonstrating the possibility of diagnosis and staging of the disease using the serum SERS spectra. Multivariate analysis methods, including principal component analysis (PCA), linear discriminant analysis (LDA), support vector machine (SVM) classifier, and k-nearest neighbors (kNN) classifier, were used to build the diagnosis and staging models for DLBCL. Leave-one-out cross-validation was used to evaluate the performances of the models. The kNN model achieved the best performances for both diagnosis and staging of DLBCL: for the diagnosis analysis, the accuracy, sensitivity, and specificity were 87.3%, 0.921, and 0.809, respectively; for the staging analysis between the early (Stage I & II) and the late (Stage III & IV) stages, the accuracy was 90.6%, and the sensitivity values for the early and the late stages were 0.947 and 0.800, respectively. The label-free serum SERS in combination with multivariate analysis could serve as a potential technique for non-invasive diagnosis and staging of DLBCL.
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Affiliation(s)
- Xue Chen
- Department of Hematology, Harbin Medical University Cancer Hospital, 150 Haping Road, 150081 Harbin, China.
| | - Xiaohui Li
- Institute of Opto-electronics, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China; National Key Laboratory on Tunable Laser, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China.
| | - Hao Yang
- Institute of Opto-electronics, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China; National Key Laboratory on Tunable Laser, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China
| | - Jinmei Xie
- Institute of Opto-electronics, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China; National Key Laboratory on Tunable Laser, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China
| | - Aichun Liu
- Department of Hematology, Harbin Medical University Cancer Hospital, 150 Haping Road, 150081 Harbin, China
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18
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Aitekenov S, Sultangaziyev A, Abdirova P, Yussupova L, Gaipov A, Utegulov Z, Bukasov R. Raman, Infrared and Brillouin Spectroscopies of Biofluids for Medical Diagnostics and for Detection of Biomarkers. Crit Rev Anal Chem 2022; 53:1561-1590. [PMID: 35157535 DOI: 10.1080/10408347.2022.2036941] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/23/2023]
Abstract
This review surveys Infrared, Raman/SERS and Brillouin spectroscopies for medical diagnostics and detection of biomarkers in biofluids, that include urine, blood, saliva and other biofluids. These optical sensing techniques are non-contact, noninvasive and relatively rapid, accurate, label-free and affordable. However, those techniques still have to overcome some challenges to be widely adopted in routine clinical diagnostics. This review summarizes and provides insights on recent advancements in research within the field of vibrational spectroscopy for medical diagnostics and its use in detection of many health conditions such as kidney injury, cancers, cardiovascular and infectious diseases. The six comprehensive tables in the review and four tables in supplementary information summarize a few dozen experimental papers in terms of such analytical parameters as limit of detection, range, diagnostic sensitivity and specificity, and other figures of merits. Critical comparison between SERS and FTIR methods of analysis reveals that on average the reported sensitivity for biomarkers in biofluids for SERS vs FTIR is about 103 to 105 times higher, since LOD SERS are lower than LOD FTIR by about this factor. High sensitivity gives SERS an edge in detection of many biomarkers present in biofluids at low concentration (nM and sub nM), which can be particularly advantageous for example in early diagnostics of cancer or viral infections.HighlightsRaman, Infrared spectroscopies use low volume of biofluidic samples, little sample preparation, fast time of analysis and relatively inexpensive instrumentation.Applications of SERS may be a bit more complicated than applications of FTIR (e.g., limited shelf life for nanoparticles and substrates, etc.), but this can be generously compensated by much higher (by several order of magnitude) sensitivity in comparison to FTIR.High sensitivity makes SERS a noninvasive analytical method of choice for detection, quantification and diagnostics of many health conditions, metabolites, and drugs, particularly in diagnostics of cancer, including diagnostics of its early stages.FTIR, particularly ATR-FTIR can be a method of choice for efficient sensing of many biomarkers, present in urine, blood and other biofluids at sufficiently high concentrations (mM and even a few µM)Brillouin scattering spectroscopy detecting visco-elastic properties of probed liquid medium, may also find application in clinical analysis of some biofluids, such as cerebrospinal fluid and urine.
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Affiliation(s)
- Sultan Aitekenov
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Alisher Sultangaziyev
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Perizat Abdirova
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Lyailya Yussupova
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | | | - Zhandos Utegulov
- Department of Physics, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Rostislav Bukasov
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
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19
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Non-invasive discrimination of multiple myeloma using label-free serum surface-enhanced Raman scattering spectroscopy in combination with multivariate analysis. Anal Chim Acta 2022; 1191:339296. [PMID: 35033255 DOI: 10.1016/j.aca.2021.339296] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 10/13/2021] [Accepted: 11/15/2021] [Indexed: 11/22/2022]
Abstract
We report non-invasive discrimination of multiple myeloma (MM) using label-free serum surface-enhanced Raman scattering (SERS) spectroscopy in combination with multivariate analysis. Colloidal silver nano-particles (AgNPs) were used as the SERS substrate. High quality serum SERS spectra were obtained from 53 MM patients and 44 healthy controls (HCs). The SERS spectral differences demonstrated variation of relative concentrations of biomolecules in the serum of MM patients in comparison to HCs. Multivariate analysis methods, including principal component analysis (PCA), linear discriminant analysis (LDA), and support vector machine (SVM), were used to build discrimination models for MM. Leave-one-out cross-validation (LOOCV) was used to evaluate the performances of the models, in terms of accuracy, sensitivity, specificity, and area under the receiver operating characteristic curves (AUC). Using the SVM model, the accuracy for discrimination of MM was achieved as 78.4%, and the corresponding sensitivity, specificity, and AUC values were 0.830, 0.727, and 0.840, respectively. The results show that the serum SERS in combination with multivariate analysis could be a fast, non-invasive, and cost-effective technique for discrimination of MM.
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20
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Esposito A, Bonifacio A, Sergo V, Fornasaro S. Label-free Surface Enhanced Raman Scattering (SERS) on Centrifugal Silver Plasmonic Paper (CSPP): A Novel Methodology for Unprocessed Biofluids Sampling and Analysis. BIOSENSORS 2021; 11:bios11110467. [PMID: 34821683 PMCID: PMC8615985 DOI: 10.3390/bios11110467] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 11/17/2021] [Accepted: 11/19/2021] [Indexed: 06/13/2023]
Abstract
Label-free SERS is a powerful bio-analytical technique in which molecular fingerprinting is combined with localized surface plasmons (LSPs) on metal surfaces to achieve high sensitivity. Silver and gold colloids are among the most common nanostructured substrates used in SERS, but since protein-rich samples such as serum or plasma can hinder the SERS effect due to protein-substrate interactions, they often require a deproteinization step. Moreover, SERS methods based on metal colloids often suffer from a poor reproducibility. Here, we propose a paper-based SERS sampling method in which unprocessed human serum samples are first soaked on paper strips (0.4 × 2 cm2), and then mixed with colloidal silver nanoparticles by centrifugation to obtain a Centrifugal Silver Plasmonic Paper (CSPP). The CSPP methodology has the potential to become a promising tool in bioanalytical SERS applications: it uses common colloidal substrates but without the need for sample deproteinization, while having a good reproducibility both in terms of overall spectral shape (r > 0.96) and absolute intensity (RSD < 10%). Moreover, this methodology allows SERS analysis more than one month after serum collection on the paper strip, facilitating storage and handling of clinical samples (including shipping from clinical sites to labs).
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21
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Lin Y, Gao S, Zheng M, Tang S, Lin K, Xie S, Yu Y, Lin J. A microsphere nanoparticle based-serum albumin targeted adsorption coupled with surface-enhanced Raman scattering for breast cancer detection. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 261:120039. [PMID: 34144332 DOI: 10.1016/j.saa.2021.120039] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/26/2021] [Accepted: 05/28/2021] [Indexed: 05/20/2023]
Abstract
The serum albumin level is inseparable associated with survival in patients with breast cancer, and simultaneously serve as a good indicator of prognosis of cancer. Here, we proposed a novel extraction-isolation analysis method of albumin for breast cancer detection utilizing hydroxyapatite particles (HAp) to targeted adsorb albumin from serum relying on its specific adsorption capacity. An ideal protein-release reagent was used for isolating albumin from the surface of HAp, and meanwhile ensuring that the structure and property of albumin was not suffered damage. The surface-enhanced Raman scattering (SERS) signal of extracted albumin was obtained, and partial least squares (PLS) and linear discriminant analysis (LDA) analysis approach were employed to analyze SERS spectra data, with the aim to assess the capability of HAp method for identifying breast cancer, yielding an ideal diagnostic accuracy of 98.6%, demonstrating promising potential as a non-invasive and sensitive nanotechnology for breast cancer screening.
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Affiliation(s)
- Yamin Lin
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China
| | - Siqi Gao
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China
| | - Mengmeng Zheng
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China
| | - Shuzhen Tang
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China
| | - Kecan Lin
- Liver Disease Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China
| | - Shusen Xie
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China
| | - Yun Yu
- College of Integrated Traditional Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
| | - Juqiang Lin
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China.
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22
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Grieve S, Puvvada N, Phinyomark A, Russell K, Murugesan A, Zed E, Hassan A, Legare JF, Kienesberger PC, Pulinilkunnil T, Reiman T, Scheme E, Brunt KR. Nanoparticle surface-enhanced Raman spectroscopy as a noninvasive, label-free tool to monitor hematological malignancy. Nanomedicine (Lond) 2021; 16:2175-2188. [PMID: 34547916 DOI: 10.2217/nnm-2021-0076] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Aim: Monitoring minimal residual disease remains a challenge to the effective medical management of hematological malignancies; yet surface-enhanced Raman spectroscopy (SERS) has emerged as a potential clinical tool to do so. Materials & methods: We developed a cell-free, label-free SERS approach using gold nanoparticles (nanoSERS) to classify hematological malignancies referenced against two control cohorts: healthy and noncancer cardiovascular disease. A predictive model was built using machine-learning algorithms to incorporate disease burden scores for patients under standard treatment upon. Results: Linear- and quadratic-discriminant analysis distinguished three cohorts with 69.8 and 71.4% accuracies, respectively. A predictive nanoSERS model correlated (MSE = 1.6) with established clinical parameters. Conclusion: This study offers a proof-of-concept for the noninvasive monitoring of disease progression, highlighting the potential to incorporate nanoSERS into translational medicine.
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Affiliation(s)
- Stacy Grieve
- Department of Biology, University of New Brunswick, Saint John, New Brunswick, Canada.,IMPART investigator team, Canada
| | - Nagaprasad Puvvada
- Department of Pharmacology, Dalhousie University, Saint John, New Brunswick, Canada.,Department of Chemistry, Indrashil University, Gujarat, India
| | - Angkoon Phinyomark
- IMPART investigator team, Canada.,Institute of Biomedical Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada
| | - Kevin Russell
- Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada
| | - Alli Murugesan
- Department of Biology, University of New Brunswick, Saint John, New Brunswick, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada
| | - Elizabeth Zed
- Department of Oncology, Saint John Regional Hospital, Saint John, New Brunswick, Canada
| | - Ansar Hassan
- IMPART investigator team, Canada.,Department of Cardiac Surgery, Saint John Regional Hospital, Saint John, New Brunswick, Canada
| | - Jean-Francois Legare
- IMPART investigator team, Canada.,Department of Cardiac Surgery, Saint John Regional Hospital, Saint John, New Brunswick, Canada
| | - Petra C Kienesberger
- IMPART investigator team, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada.,Department of Biochemistry & Molecular Biology, Dalhousie University, Saint John, New Brunswick, Canada
| | - Thomas Pulinilkunnil
- IMPART investigator team, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada.,Department of Biochemistry & Molecular Biology, Dalhousie University, Saint John, New Brunswick, Canada
| | - Tony Reiman
- Department of Biology, University of New Brunswick, Saint John, New Brunswick, Canada.,IMPART investigator team, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada.,Department of Oncology, Saint John Regional Hospital, Saint John, New Brunswick, Canada
| | - Erik Scheme
- IMPART investigator team, Canada.,Institute of Biomedical Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada
| | - Keith R Brunt
- IMPART investigator team, Canada.,Department of Pharmacology, Dalhousie University, Saint John, New Brunswick, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada
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23
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Lin T, Song YL, Kuang P, Chen S, Mao Z, Zeng TT. Nanostructure-based surface-enhanced Raman scattering for diagnosis of cancer. Nanomedicine (Lond) 2021; 16:2389-2406. [PMID: 34530631 DOI: 10.2217/nnm-2021-0298] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Cancer is a malignant disease that seriously affects human health and life. Early diagnosis and timely treatment can significantly improve the survival rate of cancer patients. Surface-enhanced Raman scattering (SERS) is an optical technology that can detect and image samples at the single-molecule level. It has the advantages of rapidity, high specificity, high sensitivity and no damage to the sample. The performance of SERS is highly dependent on the properties, size and morphology of the SERS substrate. Preparation of SERS substrates with good reproducibility and chemical stability is a key factor in realizing the wide application of SERS technology in cancer diagnosis. In this review we provide a detailed presentation of the latest research on SERS in cancer diagnosis and the detection of cancer biomarkers, mainly focusing on nanotechnological approaches in cancer diagnosis by using SERS. We also consider the future development of nanostructure-based SERS in cancer diagnosis.
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Affiliation(s)
- Ting Lin
- Department of Hematology, Research Laboratory of Hematology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ya-Li Song
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Pu Kuang
- Department of Hematology, Research Laboratory of Hematology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Si Chen
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zhigang Mao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ting-Ting Zeng
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
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24
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Gao S, Lin Y, Zheng M, Lin Y, Lin K, Xie S, Yu Y, Lin J. Label-free determination of liver cancer stages using surface-enhanced Raman scattering coupled with preferential adsorption of hydroxyapatite microspheres. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:3885-3893. [PMID: 34382625 DOI: 10.1039/d1ay00946j] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Here, we explored a label-free albumin targeted analysis method by utilizing hydroxyapatite (HAp) to adsorb-release serum albumin, in conjunction with surface-enhanced Raman scattering (SERS) for screening liver cancer (LC) at different tumor (T) stages. Excitingly, albumin can be preferentially adsorbed by HAp as compared with other serum proteins. Moreover, we developed a novel strategy using a high concentration of PO43- solution as the albumin-release agent. This method overcomes the shortcomings of the traditional purification technology of serum albumin, which requires acid to release protein, and ensures that the structure and properties of albumin are not damaged. The SERS spectra of serum albumin obtained from three sample groups were analyzed to verify the feasibility of this new method: healthy volunteers (n = 35), LC patients with T1 stage (n = 25) and LC patients with T2-T4 stage (n = 23). Furthermore, principal component analysis (PCA) combined with linear discriminant analysis (LDA) was employed to classify the early T (T1) stage LC vs. normal group and advanced T (T2-T4) stage LC vs. normal group, yielding high diagnostic accuracies of 90.00% and 96.55%, respectively, which showed a 10% improvement in diagnostic accuracy for the early stage detection of cancer as compared with previous studies. The results of this exploratory work demonstrated that HAp-adsorbed-released serum albumin combined with SERS analysis has great potential for label-free, noninvasive and sensitive detection of different T stages of liver cancer.
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Affiliation(s)
- Siqi Gao
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China.
| | - Yamin Lin
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China.
| | - Mengmeng Zheng
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China.
| | - Yating Lin
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China.
| | - Kecan Lin
- Liver Disease Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China
| | - Shusen Xie
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China.
| | - Yun Yu
- College of Integrated Traditional Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
| | - Juqiang Lin
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China.
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25
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Gao C, Zhang Q, Ma L, Lu X, Wu S, Song P, Xia L. Dual‐spectroscopic real‐time monitoring of the reduction reaction between aristolochic acid I and Fe
2+
and its bio‐application. J PHYS ORG CHEM 2021. [DOI: 10.1002/poc.4194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Ce Gao
- Department of Chemistry Liaoning University Shenyang China
| | - Qijia Zhang
- Department of Chemistry Liaoning University Shenyang China
| | - Liping Ma
- Department of Chemistry Liaoning University Shenyang China
| | - Xuemei Lu
- Department of Physics Liaoning University Shenyang China
| | - Shiwei Wu
- Department of Chemistry Liaoning University Shenyang China
- Experimental Center Shenyang Normal University Shenyang China
| | - Peng Song
- Department of Physics Liaoning University Shenyang China
| | - Lixin Xia
- Department of Chemistry Liaoning University Shenyang China
- College of Chemistry and Environmental Engineering Yingkou Institute of Technology Yingkou China
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26
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Tefas C, Mărginean R, Toma V, Petrushev B, Fischer P, Tanțău M, Știufiuc R. Surface-enhanced Raman scattering for the diagnosis of ulcerative colitis: will it change the rules of the game? Anal Bioanal Chem 2020; 413:827-838. [PMID: 33161464 DOI: 10.1007/s00216-020-03036-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 10/18/2020] [Accepted: 10/28/2020] [Indexed: 12/22/2022]
Abstract
Ulcerative colitis (UC) is a relapsing-remitting inflammatory bowel disease that requires numerous costly invasive investigations which lead to physical and psychological patient discomfort. We need a non-invasive technological approach that would significantly improve its diagnosis. Surface-enhanced Raman scattering (SERS) is a growing technique that can provide a molecular diagnostic fingerprint in just a few minutes, without the need for prior sample preparation. The aim of this pilot in vivo study was to prove that multivariate analysis of SER spectra collected on plasma samples could be employed for non-invasive diagnosis of UC. Plasma samples were collected from healthy subjects (n = 35) and patients with UC (n = 28). SERS spectra were acquired using a 785-nm excitation laser line and a solid plasmonic substrate developed in our laboratory using an original procedure described in the literature. The classification accuracy yielded by SERS was assessed by principal component analysis-linear discriminant analysis (PCA-LDA) and partial least squares discriminant analysis (PLS-DA). PCA-LDA differentiated UC samples from those of healthy subjects with a sensitivity of 86%, a specificity of 92%, and an accuracy of 89%, the AUC being 0.96. The PLS-DA analysis resulted in a sensitivity of 89%, a specificity of 94%, an accuracy of 92%, and an AUC value of 0.92. Several spectral bands were associated with UC: 376-420, 440-513, 686-715, 919-939, 1035-1062, 1083-1093, 1120-1132, 1148-1156, 1191-1211, 1234-1262, 1275-1294, 1382-1405, 1511-1526, and 1693-1702 cm-1. Changes in plasma levels of amino acids, proteins, lipids, and other compounds were noted using SERS in patients with UC. Multivariate analysis of SER spectra collected on a solid plasmonic substrate represents a promising alternative to diagnosing UC, as it is non-invasive, easy to use, and fast.
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Affiliation(s)
- Cristian Tefas
- Gastroenterology Department, "Prof. Dr. Octavian Fodor" Institute of Gastroenterology and Hepatology, 19-21 Croitorilor Street, 400162, Cluj-Napoca, Romania. .,Department of Internal Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 8 Victor Babes Street, 400012, Cluj-Napoca, Romania.
| | - Radu Mărginean
- MedFuture - Research Center for Advanced Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 6 Pasteur Street, 400349, Cluj-Napoca, Romania
| | - Valentin Toma
- MedFuture - Research Center for Advanced Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 6 Pasteur Street, 400349, Cluj-Napoca, Romania
| | - Bobe Petrushev
- Pathology Department, "Prof. Dr. Octavian Fodor" Institute of Gastroenterology and Hepatology, 19-21 Croitorilor Street, 400162, Cluj-Napoca, Romania
| | - Petra Fischer
- Gastroenterology Department, "Prof. Dr. Octavian Fodor" Institute of Gastroenterology and Hepatology, 19-21 Croitorilor Street, 400162, Cluj-Napoca, Romania
| | - Marcel Tanțău
- Gastroenterology Department, "Prof. Dr. Octavian Fodor" Institute of Gastroenterology and Hepatology, 19-21 Croitorilor Street, 400162, Cluj-Napoca, Romania.,Department of Internal Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 8 Victor Babes Street, 400012, Cluj-Napoca, Romania
| | - Rareș Știufiuc
- MedFuture - Research Center for Advanced Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 6 Pasteur Street, 400349, Cluj-Napoca, Romania.,Department of Pharmaceutical Physics-Biophysics, "Iuliu Hațieganu" University of Medicine and Pharmacy, 6 Pasteur Street, 400349, Cluj-Napoca, Romania
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27
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Fang Y, Lin T, Zheng D, Zhu Y, Wang L, Fu Y, Wang H, Wu X, Zhang P. Rapid and label-free identification of different cancer types based on surface-enhanced Raman scattering profiles and multivariate statistical analysis. J Cell Biochem 2020; 122:277-289. [PMID: 33043480 DOI: 10.1002/jcb.29857] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 07/22/2020] [Accepted: 09/07/2020] [Indexed: 01/24/2023]
Abstract
Rapid detection and classification of cancer cells with label-free and non-destructive methods are helpful for rapid screening of cancer patients in clinical settings. Here, surface-enhanced Raman scattering (SERS) was used for rapid, unlabeled, and non-destructive detection of seven different cell types, including human cancer cells and non-tumorous cells. Au nanoparticles were used as enhanced substrates and directly added to cell surfaces. The single cellular SERS signals could be easily and stably collected in several minutes, and the cells maintained structural integrity over one hour. Different types of cells had unique Raman phenotypes. By applying multivariate statistical analysis to the Raman phenotypes, the cancer cells and non-tumorous cells were accurately identified. The high sensitivity enabled this method to discriminate subtle molecular changes in different cell types, and the accuracy reached 81.2% with principal components analysis and linear discriminant analysis. The technique provided a rapid, unlabeled, and non-destructive method for the detection and identification of various cancer types.
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Affiliation(s)
- Yaping Fang
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China
| | - Taifeng Lin
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China
| | - Dawei Zheng
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China
| | - Yongwei Zhu
- Department of State-owned Assets and Laboratory Management, Beijing University of Technology, Beijing, China
| | - Limin Wang
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China
| | - Yingying Fu
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China
| | - Huiqin Wang
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China
| | - Xihao Wu
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China
| | - Ping Zhang
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China
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28
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Raman spectroscopy-based biomarker screening by studying the fingerprint characteristics of chronic lymphocytic leukemia and diffuse large B-cell lymphoma. J Pharm Biomed Anal 2020; 190:113514. [PMID: 32827998 DOI: 10.1016/j.jpba.2020.113514] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2019] [Revised: 06/06/2020] [Accepted: 07/28/2020] [Indexed: 01/03/2023]
Abstract
Raman spectroscopy (RS) can provide fingerprint-type information on biochemical molecules. RS-based blood plasma analysis of solid tumors has been reported in recent years; however, there are no studies on the use of this analysis for detecting blood diseases. We studied the features of blood plasma in patients with diffuse large B-cell lymphoma (DLBCL) and chronic lymphocytic leukemia (CLL) by RS with the aim of developing a simple blood test for noninvasive DLBCL and CLL detection. We analyzed blood plasma from 33 DLBCL patients, 39 CLL patients and 30 healthy volunteers. Orthogonal partial least squares discriminant analysis (OPLS-DA) could build two clusters with almost no overlap between DLBCL/CLL and the controls. We used the prediction set to test the model built by OPLS-DA. For the CLL model, the sensitivity was 92.86%, and the specificity was 100%, whereas for the DLBCL model, the sensitivity was 80% and the specificity was 92.31%. We found Raman bands specific to both DLBCL and CLL patients in comparison with the healthy volunteers. Most importantly, we found that the combination of the 1445 cm-1 and 1655 cm-1 Raman shifts could discriminate DLBCL from CLL and even the other solid tumors reported to date. Further analysis of the assignments of 1655 cm-1 also gave us a clue to find potential important variables hemoglobin and serum albumin related with the CLL prognosis. Our exploratory study primarily demonstrated the great potential of developing RS blood plasma analysis as a novel clinical tool for the noninvasive detection of DLBCL and CLL.
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29
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Solid Plasmonic Substrates for Breast Cancer Detection by Means of SERS Analysis of Blood Plasma. NANOMATERIALS 2020; 10:nano10061212. [PMID: 32575924 PMCID: PMC7353077 DOI: 10.3390/nano10061212] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 06/10/2020] [Accepted: 06/17/2020] [Indexed: 01/27/2023]
Abstract
Surface enhanced Raman spectroscopy (SERS) represents a promising technique in providing specific molecular information that could have a major impact in biomedical applications, such as early cancer detection. SERS requires the presence of a suitable plasmonic substrate that can generate enhanced and reproducible diagnostic relevant spectra. In this paper, we propose a new approach for the synthesis of such a substrate, by using concentrated silver nanoparticles purified using the Tangential Flow Filtration method. The capacity of our substrates to generate reproducible and enhanced Raman signals, in a manner that can allow cancer detection by means of Multivariate Analysis (MVA) of Surface Enhanced Raman (SER) spectra, has been tested on blood plasma samples collected from 35 healthy donors and 29 breast cancer patients. All the spectra were analyzed by a combined Principal Component-Linear Discriminant Analysis. Our results facilitated the discrimination between healthy donors and breast cancer patients with 90% sensitivity, 89% specificity and 89% accuracy. This is a direct consequence of substrates’ ability to generate diagnostic relevant spectral information by performing SERS measurements on pristine blood plasma samples. Our results suggest that this type of solid substrate could be employed for the detection of other types of cancer or other diseases by means of MVA-SERS procedure.
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30
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Burgara-Estrella AJ, Acosta-Elías MA, Álvarez-Bajo O, Silva-Campa E, Angulo-Molina A, Rodríguez-Hernández IDC, Sarabia-Sainz HM, Escalante-Lugo VM, Pedroza-Montero MR. Atomic force microscopy and Raman spectra profile of blood components associated with exposure to cigarette smoking. RSC Adv 2020; 10:11971-11981. [PMID: 35496627 PMCID: PMC9050830 DOI: 10.1039/d0ra01384f] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 03/06/2020] [Indexed: 11/21/2022] Open
Abstract
Tobacco smoke contains several compounds with oxidant and pro-oxidant properties with the capability of producing structural changes in biomolecules, as well as cell damage. This work aimed to describe and analyse the effect of tobacco smoke on human blood components, red blood cell (RBC) membrane, haemoglobin (Hb) and blood plasma by Atomic Force Microscopy (AFM) and Raman spectroscopy. Our results indicate that tobacco induced RBC membrane nano-alterations characterized by diminished RBC diameter and increased nano-vesicles formation, and RBC fragility. The Raman spectra profile suggests modifications in chemical composition specifically found in peaks 1135 cm-1, 1156 cm-1, 1452 cm-1 and intensity relation of peaks 1195 cm-1 and 1210 cm-1 of blood plasma and by change of peaks 1338 cm-1, 1357 cm-1, 1549 cm-1 and 1605 cm-1 associated with the pyrrole ring of Hb. The relevance of these results lies in the identification of a profile of structural and chemical alterations that serves as a biomarker of physiological and pathological conditions in the human blood components induced by tobacco exposure using AFM and the Raman spectroscopy as tools for monitoring them.
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Affiliation(s)
| | | | - Osiris Álvarez-Bajo
- CONACYT-Departamento de Investigación en Física, Universidad de Sonora Hermosillo Mexico
| | - Erika Silva-Campa
- Departamento de Investigación en Física, Universidad de Sonora Hermosillo Mexico
| | - Aracely Angulo-Molina
- Departamento de Investigación en Física, Universidad de Sonora Hermosillo Mexico
- Departamento de Ciencias Químico Biológicas, Universidad de Sonora Hermosillo Mexico
| | | | - Héctor M Sarabia-Sainz
- Departamento de Ciencias del Deporte y de la Actividad Física, Universidad de Sonora Hermosillo Mexico
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Pellacani P, Morasso C, Picciolini S, Gallach D, Fornasari L, Marabelli F, Manso Silvan M. Plasma Fabrication and SERS Functionality of Gold Crowned Silicon Submicrometer Pillars. MATERIALS (BASEL, SWITZERLAND) 2020; 13:E1244. [PMID: 32164146 PMCID: PMC7085028 DOI: 10.3390/ma13051244] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 03/03/2020] [Accepted: 03/05/2020] [Indexed: 12/13/2022]
Abstract
Sequential plasma processes combined with specific lithographic methods allow for the fabrication of advanced material structures. In the present work, we used self-assembled colloidal monolayers as lithographic structures for the conformation of ordered Si submicrometer pillars by reactive ion etching. We explored different discharge conditions to optimize the Si pillar geometry. Selected structures were further decorated with gold by conventional sputtering, prior to colloidal monolayer lift-off. The resulting structures consist of a gold crown, that is, a cylindrical coating on the edge of the Si pillar and a cavity on top. We analysed the Au structures in terms of electronic properties by using X-ray absorption spectroscopy (XAS) prior to and after post-processing with thermal annealing at 300 °C and/or interaction with a gold etchant solution (KI). The angular dependent analysis of the plasmonic properties was studied with Fourier transformed UV-vis measurements. Certain conditions were selected to perform a surface enhanced Raman spectroscopy (SERS) evaluation of these platforms with two model dyes, prior to confirming the potential interest for a well-resolved analysis of filtered blood plasma.
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Affiliation(s)
- Paola Pellacani
- Departamento de Física Aplicada and Instituto de Ciencia de Materiales Nicolás Cabrera, Universidad Autónoma de Madrid, 28049 Madrid, Spain; (P.P.); or
- Plasmore S.r.l., Via Vittorio Emanuele II 4, 27100 Pavia, Italy;
| | - Carlo Morasso
- Istituti Clinici Scientifici Maugeri IRCCS, via Maugeri 4, 27100 Pavia, Italy;
| | - Silvia Picciolini
- IRCCS Fondazione Don Carlo Gnocchi, Via Capecelatro 66, 20148 Milano, Italy;
| | - Dario Gallach
- Departamento de Física Aplicada and Instituto de Ciencia de Materiales Nicolás Cabrera, Universidad Autónoma de Madrid, 28049 Madrid, Spain; (P.P.); or
- Departamento de Ciencia, Computación y Tecnología, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Madrid, Spain
| | - Lucia Fornasari
- Plasmore S.r.l., Via Vittorio Emanuele II 4, 27100 Pavia, Italy;
| | - Franco Marabelli
- Physics Department, University of Pavia. via A.Bassi, 6. I-27100, Pavia, Italy;
| | - Miguel Manso Silvan
- Departamento de Física Aplicada and Instituto de Ciencia de Materiales Nicolás Cabrera, Universidad Autónoma de Madrid, 28049 Madrid, Spain; (P.P.); or
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Rickard JJS, Di-Pietro V, Smith DJ, Davies DJ, Belli A, Oppenheimer PG. Rapid optofluidic detection of biomarkers for traumatic brain injury via surface-enhanced Raman spectroscopy. Nat Biomed Eng 2020; 4:610-623. [DOI: 10.1038/s41551-019-0510-4] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 12/11/2019] [Indexed: 02/07/2023]
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Metabolite profiling of human blood by surface-enhanced Raman spectroscopy for surgery assessment and tumor screening in breast cancer. Anal Bioanal Chem 2020; 412:1611-1618. [DOI: 10.1007/s00216-020-02391-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 12/26/2019] [Accepted: 01/06/2020] [Indexed: 01/11/2023]
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Kim N, Thomas MR, Bergholt MS, Pence IJ, Seong H, Charchar P, Todorova N, Nagelkerke A, Belessiotis-Richards A, Payne DJ, Gelmi A, Yarovsky I, Stevens MM. Surface enhanced Raman scattering artificial nose for high dimensionality fingerprinting. Nat Commun 2020; 11:207. [PMID: 31924755 PMCID: PMC6954179 DOI: 10.1038/s41467-019-13615-2] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 11/11/2019] [Indexed: 01/12/2023] Open
Abstract
Label-free surface-enhanced Raman spectroscopy (SERS) can interrogate systems by directly fingerprinting their components' unique physicochemical properties. In complex biological systems however, this can yield highly overlapping spectra that hinder sample identification. Here, we present an artificial-nose inspired SERS fingerprinting approach where spectral data is obtained as a function of sensor surface chemical functionality. Supported by molecular dynamics modeling, we show that mildly selective self-assembled monolayers can influence the strength and configuration in which analytes interact with plasmonic surfaces, diversifying the resulting SERS fingerprints. Since each sensor generates a modulated signature, the implicit value of increasing the dimensionality of datasets is shown using cell lysates for all possible combinations of up to 9 fingerprints. Reliable improvements in mean discriminatory accuracy towards 100% are achieved with each additional surface functionality. This arrayed label-free platform illustrates the wide-ranging potential of high-dimensionality artificial-nose based sensing systems for more reliable assessment of complex biological matrices.
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Affiliation(s)
- Nayoung Kim
- Department of Materials, Department of Bioengineering and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Michael R Thomas
- Department of Materials, Department of Bioengineering and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Mads S Bergholt
- Department of Materials, Department of Bioengineering and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Isaac J Pence
- Department of Materials, Department of Bioengineering and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Hyejeong Seong
- Department of Materials, Department of Bioengineering and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Patrick Charchar
- School of Engineering, RMIT University, Melbourne, Victoria, Australia
| | - Nevena Todorova
- School of Engineering, RMIT University, Melbourne, Victoria, Australia
| | - Anika Nagelkerke
- Department of Materials, Department of Bioengineering and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Alexis Belessiotis-Richards
- Department of Materials, Department of Bioengineering and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - David J Payne
- Department of Materials, Imperial College London, London, SW7 2AZ, UK
| | - Amy Gelmi
- Department of Materials, Department of Bioengineering and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Irene Yarovsky
- School of Engineering, RMIT University, Melbourne, Victoria, Australia.
| | - Molly M Stevens
- Department of Materials, Department of Bioengineering and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK.
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Zheng M, Gao S, Yu Y, Xu J, Huang Z, Li J, Xie S, Lin J. Surface-enhanced Raman spectroscopy analysis of mast cell degranulation induced by low-intensity laser. IET Nanobiotechnol 2019; 13:983-988. [PMID: 31811770 DOI: 10.1049/iet-nbt.2019.0145] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Mast cell (MC) degranulation is an important step in the healing process. In this study, silver-nanoparticles-based surface-enhanced Raman spectroscopy (SERS) was used to investigate the spectral characteristics of degranulation of MCs activated by low-intensity laser. The significant spectral changes, such as Raman peak intensities, suggested the concentration variation of some degranulated substances. The Raman intensity ratio of 799-554 cm-1 could be used as a potential internal indicator for the degranulation degree of MCs. Principal component analysis (PCA) was employed to reduce the high dimension of spectra into a few principal components (PCs) while retaining the most diagnostically significant information for sample differentiation. Using the diagnostically significant PC scores (P < 0.05), linear discriminate analysis (LDA) was applied to identify different cell degranulation groups with high sensitivity, specificity and accuracy. This exploratory work demonstrates that SERS technique combined with a PCA-LDA algorithm possesses great potential for developing a label-free, comprehensive, non-invasive and accurate method for measuring MC degranulation.
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Affiliation(s)
- Mengmeng Zheng
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, People's Republic of China
| | - Siqi Gao
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, People's Republic of China
| | - Yun Yu
- College of Integrated Traditional Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, People's Republic of China
| | - Jianshu Xu
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, People's Republic of China
| | - Zufang Huang
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, People's Republic of China
| | - Juan Li
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, People's Republic of China
| | - Shusen Xie
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, People's Republic of China
| | - Juqiang Lin
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, People's Republic of China.
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Lin D, Wu Q, Qiu S, Chen G, Feng S, Chen R, Zeng H. Label-free liquid biopsy based on blood circulating DNA detection using SERS-based nanotechnology for nasopharyngeal cancer screening. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 2019; 22:102100. [PMID: 31648038 DOI: 10.1016/j.nano.2019.102100] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Revised: 08/10/2019] [Accepted: 09/09/2019] [Indexed: 01/07/2023]
Abstract
Development of a sensitive, rapid and easy-to-use liquid biopsy method is of imperative clinical value for point-of-care caner diagnostics. Here, a label-free and modification-free nanotechnology based on surface-enhanced Raman spectroscopy (SERS) was employed for DNA analysis. Using the SERS signals of phosphate backbone as internal standard, quantitative detection for nucleobases was achieved even at single base level. The method combined with principal component analysis and linear discriminant analysis was further applied for real blood circulating DNA detection for the first time, and an ideal diagnostic sensitivity of 83.3% and specificity of 82.5% could be obtained for differentiating the nasopharyngeal cancer from the normal group, demonstrating promising potential as an alternative nanotechnology for nasopharyngeal cancer screening based on liquid biopsy.
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Affiliation(s)
- Duo Lin
- College of Integrated Traditional Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, 350122, China.
| | - Qiong Wu
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Normal University, Fuzhou 350007, China
| | - Sufang Qiu
- Fujian Medical University Cancer Hospital & Fujian Cancer Hospital Radiation Oncology Department; Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, 350014, China
| | - Guannan Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Normal University, Fuzhou 350007, China
| | - Shangyuan Feng
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Normal University, Fuzhou 350007, China.
| | - Rong Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Normal University, Fuzhou 350007, China
| | - Haishan Zeng
- Imaging Unit - Integrative Oncology Department, BC Cancer Agency Research Centre, Vancouver, BC, V5Z 1L3, Canada.
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Accuracy of Raman spectroscopy in discrimination of nasopharyngeal carcinoma from normal samples: a systematic review and meta-analysis. J Cancer Res Clin Oncol 2019; 145:1811-1821. [DOI: 10.1007/s00432-019-02934-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 05/10/2019] [Indexed: 12/30/2022]
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38
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Microfluidics-Driven Fabrication of a Low Cost and Ultrasensitive SERS-Based Paper Biosensor. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9071387] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Surface-enhanced Raman scattering (SERS) spectroscopy stands out due to its sensitivity, selectivity, and multiplex ability. The development of ready-to-use, simple, and low-cost SERS substrates is one of the main challenges of the field. In this paper, the intrinsic reproducibility of microfluidics technology was used for the fabrication of self-assembled nanoparticle structures over a paper film. The paper SERS substrates were fabricated by assembling anisotropic particles, gold nanostars (GNSs), and nanorods (NRs) onto paper to offer an extra enhancement to reach ultra-sensitive detection limits. A polydimethylsiloxane PDMS-paper hybrid device was used to control the drying kinetics of the nanoparticles over the paper substrate. This method allowed a high reproducibility and homogeneity of the fabrication of SERS substrates that reach limits of detection down to the picomolar range. This simple and low-cost fabrication of a paper-based sensing device was tested for the discrimination of different cell lineages.
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39
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Zhang Y, Mi X, Tan X, Xiang R. Recent Progress on Liquid Biopsy Analysis using Surface-Enhanced Raman Spectroscopy. Theranostics 2019; 9:491-525. [PMID: 30809289 PMCID: PMC6376192 DOI: 10.7150/thno.29875] [Citation(s) in RCA: 87] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 11/30/2018] [Indexed: 12/12/2022] Open
Abstract
Traditional tissue biopsy is limited in understanding heterogeneity and dynamic evolution of tumors. Instead, analyzing circulating cancer markers in various body fluids, commonly referred to as "liquid biopsy", has recently attracted remarkable interest for their great potential to be applied in non-invasive early cancer screening, tumor progression monitoring and therapy response assessment. Among the various approaches developed for liquid biopsy analysis, surface-enhanced Raman spectroscopy (SERS) has emerged as one of the most powerful techniques based on its high sensitivity, specificity, tremendous spectral multiplexing capacity for simultaneous target detection, as well as its unique capability for obtaining intrinsic fingerprint spectra of biomolecules. In this review, we will first briefly explain the mechanism of SERS, and then introduce recently reported SERS-based techniques for detection of circulating cancer markers including circulating tumor cells, exosomes, circulating tumor DNAs, microRNAs and cancer-related proteins. Cancer diagnosis based on SERS analysis of bulk body fluids will also be included. In the end, we will summarize the "state of the art" technologies of SERS-based platforms and discuss the challenges of translating them into clinical settings.
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Affiliation(s)
- Yuying Zhang
- School of Medicine, State Key Laboratory of Medicinal Chemical Biology, Key Laboratory of Bioactive Materials for Ministry of Education, Nankai University, 300071 Tianjin, China
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40
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Yu Y, Lin Y, Xu C, Lin K, Ye Q, Wang X, Xie S, Chen R, Lin J. Label-free detection of nasopharyngeal and liver cancer using surface-enhanced Raman spectroscopy and partial lease squares combined with support vector machine. BIOMEDICAL OPTICS EXPRESS 2018; 9:6053-6066. [PMID: 31065412 PMCID: PMC6490983 DOI: 10.1364/boe.9.006053] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 10/26/2018] [Accepted: 11/01/2018] [Indexed: 05/05/2023]
Abstract
In this paper, we investigated the feasibility of using surface enhanced Raman spectroscopy (SERS) and multivariate analysis method to discriminate liver cancer and nasopharyngeal cancer from healthy volunteers. SERS measurements were performed on serum protein samples from 104 liver cancer patients, 100 nasopharyngeal cancer patients, and 95 healthy volunteers. Two dimensionality reduction methods, principal component analysis (PCA) and partial least square (PLS) were compared, and the results indicated that the performance of PLS is superior to that of PCA. When the number of components was compressed to 3 by PLS, support vector machine (SVM) with a Gaussian radial basis function (RBF) was employed to classify various cancers simultaneously. Based on the PLS-SVM algorithm, high diagnostic accuracies of 95.09% and 90.67% were achieved from the training set and the unknown testing set, respectively. The results of this exploratory work demonstrate that serum protein SERS technology combined with PLS-SVM diagnostic algorithm has great potential for the noninvasive screening of cancer.
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Affiliation(s)
- Yun Yu
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Normal University, Fuzhou, Fujian, China
- College of Integrated Traditional Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Yating Lin
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Normal University, Fuzhou, Fujian, China
| | - Chaoxian Xu
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Normal University, Fuzhou, Fujian, China
| | - Kecan Lin
- Liver Disease Center, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China
| | - Qing Ye
- Department of Otolaryngology, Provincial Clinical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou 350001, China
| | - Xiaoyan Wang
- Department of Otolaryngology, Provincial Clinical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou 350001, China
| | - Shusen Xie
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Normal University, Fuzhou, Fujian, China
| | - Rong Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Normal University, Fuzhou, Fujian, China
| | - Juqiang Lin
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Normal University, Fuzhou, Fujian, China
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Zhang K, Liu X, Man B, Yang C, Zhang C, Liu M, Zhang Y, Liu L, Chen C. Label-free and stable serum analysis based on Ag-NPs/PSi surface-enhanced Raman scattering for noninvasive lung cancer detection. BIOMEDICAL OPTICS EXPRESS 2018; 9:4345-4358. [PMID: 30615731 PMCID: PMC6157787 DOI: 10.1364/boe.9.004345] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 07/25/2018] [Accepted: 08/10/2018] [Indexed: 05/29/2023]
Abstract
Surface-enhanced Raman scattering (SERS) has a broad application prospect in the field of tumor detection owing to its ultrahigh detective sensitivity. However, SERS analysis of serum remain a challenge in terms of repeatability and stability due to the maldistribution of the silver nanoparticles (Ag-NPs)-serum. With the aim to make up for this shortcoming, we report a new method for obtaining stable serum Raman signals utilizing the ordered arrays of pyramidal silicon (PSi) and Ag-NPs. We prove the practicability of this method by detecting the samples of serum from 50 lung cancer patients and 50 normal healthy people. Principal component analysis (PCA) of the serum SERS spectra shows that the spectral data of the two sample groups can form obvious and completely separated clusters. The receiver operating characteristic curve provides the sensitivity (100%) and specificity (90%) from the PCA-LDA method. This research indicates that a stable and label-free analysis technique of serum SERS based on Ag-NPs/PSi and PCA-LDA is promising for noninvasive lung cancer diagnoses.
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Affiliation(s)
- Kun Zhang
- Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Xijun Liu
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated with Shandong University, Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Baoyuan Man
- Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Cheng Yang
- Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Chao Zhang
- Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Mei Liu
- Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Yongheng Zhang
- Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Lisheng Liu
- Key Laboratory of Animal Resistance Research, College of Life Science, Shandong Normal University, Jinan 250014, China
| | - Chuansong Chen
- Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
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Xue L, Yan B, Li Y, Tan Y, Luo X, Wang M. Surface-enhanced Raman spectroscopy of blood serum based on gold nanoparticles for tumor stages detection and histologic grades classification of oral squamous cell carcinoma. Int J Nanomedicine 2018; 13:4977-4986. [PMID: 30214201 PMCID: PMC6124473 DOI: 10.2147/ijn.s167996] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Background Tumor stages detection and histologic grades classification are essential for the diagnosis and prognosis of oral squamous cell carcinoma (OSCC). In this research, we apply surface-enhanced Raman spectroscopy (SERS) of blood serum to detect the tumor stages and histologic classification of OSCC. Methods According to TNM classification and World Health Organization histologic grading system, the blood serum samples were collected from a total of 135 OSCC patients in the different tumor stages and histologic grades. Then the SERS spectra of serum samples from OSCC patients were diagnosed and classified into different groups using principal component analysis (PCA) and linear discriminant analysis (LDA) based on the tumor sizes, lymph node metastasis and histologic grades. Results The SERS spectra of blood serum samples have shown the distinct changes and differences compared with each other, which were assigned to the biomolecule alterations (nucleic acids, proteins, lipids, and so on) in blood serums. And all accuracies of detection and classification reached above 85%. Conclusion This study demonstrated that the SERS based on blood serum test had an enormous potential to carry out the preoperative assessment and prediction of the OSCC patients in different tumor stages and histologic classification.
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Affiliation(s)
- Lili Xue
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China,
| | - Bing Yan
- Department of Otolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Yi Li
- Department of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Yingyun Tan
- Department of Implant, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Xianyang Luo
- Department of Otolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Min Wang
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China,
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Hassanain WA, Izake EL, Ayoko GA. Spectroelectrochemical Nanosensor for the Determination of Cystatin C in Human Blood. Anal Chem 2018; 90:10843-10850. [DOI: 10.1021/acs.analchem.8b02121] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Waleed A. Hassanain
- Nanotechnology and Molecular Science Discipline, School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, 2 George Street, Brisbane 4000, Australia
| | - Emad L. Izake
- Nanotechnology and Molecular Science Discipline, School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, 2 George Street, Brisbane 4000, Australia
| | - Godwin A. Ayoko
- Nanotechnology and Molecular Science Discipline, School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, 2 George Street, Brisbane 4000, Australia
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Liu YL, Huang LY, Zhong HQ, Lu M, Hou YQ, Mao H. Application of surface-enhanced Raman spectroscopy in diagnosis and staging of gastric cancer. Shijie Huaren Xiaohua Zazhi 2018; 26:1102-1110. [DOI: 10.11569/wcjd.v26.i18.1102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
AIM To investigate the value of surface-enhanced Raman spectroscopy (SERS) in the diagnosis of gastric cancer (GC) as well as its feasibility in distinguishing GC of different TNM stages.
METHODS InVia laser confocal microscope-Raman spectrometer was used to examine the sera of patients with pathologically confirmed GC (63 cases), those with gastric precursor lesions (45 cases), and healthy volunteers (50 cases). One-way ANOVA, Student's t test, principal component analysis (PCA), and linear discriminant analysis (LDA) were used to process and analyze the Raman spectral data, and the receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic efficiency.
RESULTS The average SERS spectra of sera differed significantly among GC patients, patients with precancerous lesions, and healthy volunteers. The intensity of Raman spectra located at 725, 1099, 1133, and 1589/cm was significantly stronger in GC patients than in normal controls, while the intensity of Raman spectra at 1004, 1328, 1446, and 1657/cm was significantly stronger in normal persons. A strong enhancement in the intensity of the peak at approximately 815/cm was observed in the spectra of the serum of GC patients. At the Raman shift of 1133, 1446, and 1589/cm, Raman intensity for serum samples was significantly stronger in GC patients with TNM stage Ⅲ/Ⅳ disease than in those with stage Ⅰ/Ⅱ disease, while the Raman intensity at the Raman shift of 1004/cm was significantly stronger in patients with stage Ⅰ/Ⅱ disease. The sensitivity, specificity, and accuracy of SERS combined with multivariate PCA-LDA in diagnosing GC were 96.8% (61/63), 78% (39/50), and 88.5% (100/113), respectively, and the area under the ROC curve was 0.927. The sensitivity, specificity, and accuracy of SERS combined with multivariate PCA-LDA in distinguishing TNM stage Ⅰ/Ⅱ GC and stage Ⅲ/Ⅳ disease were 97.5% (39/40), 73.9% (17/23), and 88.9% (56/63), respectively, and the area under the ROC curve was 0.857.
CONCLUSION Detection and analysis of sera based on SERS can effectively identify patients with GC, those with gastric precancerous lesions, and healthy volunteers. Furthermore, it can effectively distinguish GC of different stages. SERS is expected to become a new method for early diagnosis, clinical decision guidance, and prognosis evaluation of GC.
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Affiliation(s)
- Yan-Ling Liu
- Department of Gastroenterology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong Province, China
| | - Li-Yun Huang
- Department of Gastroenterology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong Province, China
| | - Hui-Qing Zhong
- SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, Guangdong Province, China
| | - Min Lu
- Department of Gastroenterology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong Province, China
| | - Yu-Qing Hou
- SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, Guangdong Province, China
| | - Hua Mao
- Department of Gastroenterology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong Province, China
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Lin D, Qiu S, Huang W, Pan J, Xu Z, Chen R, Feng S, Chen G, Li Y, Short M, Zhao J, Fawzy Y, Zeng H. Autofluorescence and white light imaging-guided endoscopic Raman and diffuse reflectance spectroscopy for in vivo nasopharyngeal cancer detection. JOURNAL OF BIOPHOTONICS 2018; 11:e201700251. [PMID: 29239125 DOI: 10.1002/jbio.201700251] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Accepted: 11/26/2017] [Indexed: 05/28/2023]
Abstract
Nasopharyngeal cancer (NPC) is an endemic with high incidence in Southern China and Southeast Asia countries. Screening for NPC under conventional white light imaging (WLI) nasopharyngoscope examination remains a great clinical challenge due to its poor sensitivity. Here, we developed an integrated 4-modality endoscopy system combining WLI, autofluorescence imaging (AFI), diffuse reflectance spectroscopy and Raman spectroscopy technologies for in vivo endoscopic cancer detection for the first time. A pilot clinical test of the system for NPC detection was conducted, in which 283 in vivo Raman and diffuse reflectance spectral data sets from 30 NPC patients and 30 healthy subjects were acquired under the guidance of AFI and WLI. Both high diagnostic sensitivity (98.6%) and high specificity (95.1%) for differentiating cancer from normal tissue sites were achieved using this system combined with principal component analysis-linear discriminant analysis diagnostic algorithm, demonstrating great potential for improving real-time, in vivo diagnosis of NPC at endoscopy.
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Affiliation(s)
- 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, Fujian, China
- College of Integrated Traditional Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Sufang Qiu
- Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
| | - Wei Huang
- Fujian Metrology Institute, Fuzhou, Fujian, China
| | - Jianji Pan
- Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
| | - Zhihong Xu
- Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China
| | - Rong Chen
- Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, 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, Fujian, China
| | - Guannan Chen
- Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China
| | - Yongzeng Li
- Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China
| | - Michael Short
- Imaging Unit-Integrative Oncology Department, BC Cancer Agency Research Centre, Vancouver, British Columbia, Canada
| | - Jianhua Zhao
- Imaging Unit-Integrative Oncology Department, BC Cancer Agency Research Centre, Vancouver, British Columbia, Canada
| | - Yasser Fawzy
- Imaging Unit-Integrative Oncology Department, BC Cancer Agency Research Centre, Vancouver, British Columbia, Canada
| | - Haishan Zeng
- Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China
- Imaging Unit-Integrative Oncology Department, BC Cancer Agency Research Centre, Vancouver, British Columbia, Canada
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46
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Li L, Xiao R, Wang Q, Rong Z, Zhang X, Zhou P, Fu H, Wang S, Wang Z. SERS detection of radiation injury biomarkers in mouse serum. RSC Adv 2018; 8:5119-5126. [PMID: 35542392 PMCID: PMC9078126 DOI: 10.1039/c7ra12238a] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Accepted: 01/19/2018] [Indexed: 11/26/2022] Open
Abstract
In a large-scale radiological catastrophe, it is expected that hundreds and thousands of people could be exposed to radiation. A rapid method is required for triage of casualties to determine proper medical treatment. In this article, mice were exposed to different radiation doses and sera of mice were investigated by surface-enhanced Raman spectroscopy (SERS) and orthogonal projections to latent structure discriminant analysis (OPLS-DA) after total body irradiation (TBI). The results of the present study indicated that differences have widened over time. The different radiation groups showed a slight overlap at 24 h and 72 h but were completely distinct at the 10th day after TBI. The SERS spectrum between the normal group and the irradiated group showed a significant difference at 24 hours. The same trend was depicted in scatting score plots. Significant differences in Raman peaks were found, such as 744 and 1495 cm−1 corresponding to riboflavin and 593 and 1204 cm−1 corresponding to l-tryptophan. The lack of riboflavin and l-tryptophan will influence metabolism levels. Above all, these results bear potential in the development of label-free and rapid tools for on-site detection and screening of irradiation injuries. A rapid and on-site detection method would be needed to triage of casualties and proper medical treatment in a large scale radiological catastrophe. The detection method of SERS would be a effective approach.![]()
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Affiliation(s)
- Liansheng Li
- Anhui Medical University
- P R China
- Department of Radiation Toxicology and Oncology
- Beijing Key Laboratory for Radiobiology
- Beijing Institute of Radiation Medicine
| | - Rui Xiao
- Key Laboratory of New Molecular Diagnosis Techniques for Infectious Diseases
- Beijing Institute of Radiation Medicine
- Beijing 100850
- P R China
| | - Qi Wang
- Department of Radiation Toxicology and Oncology
- Beijing Key Laboratory for Radiobiology
- Beijing Institute of Radiation Medicine
- Beijing 100850
- P R China
| | - Zhen Rong
- Key Laboratory of New Molecular Diagnosis Techniques for Infectious Diseases
- Beijing Institute of Radiation Medicine
- Beijing 100850
- P R China
| | - Xueqing Zhang
- Department of Radiation Toxicology and Oncology
- Beijing Key Laboratory for Radiobiology
- Beijing Institute of Radiation Medicine
- Beijing 100850
- P R China
| | - Pingkun Zhou
- Anhui Medical University
- P R China
- Department of Radiation Toxicology and Oncology
- Beijing Key Laboratory for Radiobiology
- Beijing Institute of Radiation Medicine
| | - Hanjiang Fu
- Anhui Medical University
- P R China
- Department of Radiation Toxicology and Oncology
- Beijing Key Laboratory for Radiobiology
- Beijing Institute of Radiation Medicine
| | - Shengqi Wang
- Anhui Medical University
- P R China
- Key Laboratory of New Molecular Diagnosis Techniques for Infectious Diseases
- Beijing Institute of Radiation Medicine
- Beijing 100850
| | - Zhidong Wang
- Anhui Medical University
- P R China
- Department of Radiation Toxicology and Oncology
- Beijing Key Laboratory for Radiobiology
- Beijing Institute of Radiation Medicine
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47
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Khan S, Ullah R, Javaid S, Shahzad S, Ali H, Bilal M, Saleem M, Ahmed M. Raman Spectroscopy Combined with Principal Component Analysis for Screening Nasopharyngeal Cancer in Human Blood Sera. APPLIED SPECTROSCOPY 2017; 71:2497-2503. [PMID: 28714322 DOI: 10.1177/0003702817723928] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
This study demonstrates the analysis of nasopharyngeal cancer (NPC) in human blood sera using Raman spectroscopy combined with the multivariate analysis technique. Blood samples of confirmed NPC patients and healthy individuals have been used in this study. The Raman spectra from all these samples were recorded using 785 nm laser for excitation. Important Raman bands at 760, 800, 815, 834, 855, 1003, 1220-1275, and 1524 cm-1, have been observed in both normal and NPC samples. A decrease in the lipids content, phenylalanine, and β-carotene, whereas increases in amide III, tyrosine, and tryptophan have been observed in the NPC samples. The two data sets were well separated using principal component analysis (PCA) based on Raman spectral data. The spectral variations between the healthy and cancerous samples have been further highlighted by plotting loading vectors PC1 and PC2, which shows only those spectral regions where the differences are obvious.
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Affiliation(s)
- Saranjam Khan
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
| | - Rahat Ullah
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
| | - Samina Javaid
- 2 Department of Bioinformatics and Biotechnology, International Islamic University Islamabad, Pakistan
| | - Shaheen Shahzad
- 2 Department of Bioinformatics and Biotechnology, International Islamic University Islamabad, Pakistan
| | - Hina Ali
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
| | - Muhammad Bilal
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
- 3 Departmentof Physics and Applied Mathematics, Pakistan Institutes of Engineering and Applied Sciences, Islamabad, Pakistan
| | - Muhammad Saleem
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
| | - Mushtaq Ahmed
- 1 Agri-biophotonics Laboratory, National Institute for Lasers & Optronics, Islamabad, Pakistan
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48
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Lin X, Lin D, Ge X, Qiu S, Feng S, Chen R. Noninvasive detection of nasopharyngeal carcinoma based on saliva proteins using surface-enhanced Raman spectroscopy. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:1-6. [PMID: 29030944 DOI: 10.1117/1.jbo.22.10.105004] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Accepted: 09/21/2017] [Indexed: 05/20/2023]
Abstract
The present study evaluated the capability of saliva analysis combining membrane protein purification with surface-enhanced Raman spectroscopy (SERS) for noninvasive detection of nasopharyngeal carcinoma (NPC). A rapid and convenient protein purification method based on cellulose acetate membrane was developed. A total of 659 high-quality SERS spectra were acquired from purified proteins extracted from the saliva samples of 170 patients with pathologically confirmed NPC and 71 healthy volunteers. Spectral analysis of those saliva protein SERS spectra revealed specific changes in some biochemical compositions, which were possibly associated with NPC transformation. Furthermore, principal component analysis combined with linear discriminant analysis (PCA-LDA) was utilized to analyze and classify the saliva protein SERS spectra from NPC and healthy subjects. Diagnostic sensitivity of 70.7%, specificity of 70.3%, and diagnostic accuracy of 70.5% could be achieved by PCA-LDA for NPC identification. These results show that this assay based on saliva protein SERS analysis holds promising potential for developing a rapid, noninvasive, and convenient clinical tool for NPC screening.
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Affiliation(s)
- Xueliang Lin
- Fujian Normal University, Ministry of Education, Key Laboratory of Optoelectronic Science and Techno, China
| | - Duo Lin
- Fujian Normal University, Ministry of Education, Key Laboratory of Optoelectronic Science and Techno, China
- Fujian University of Traditional Chinese Medicine, College of Integrated Traditional Chinese and Wes, China
| | - Xiaosong Ge
- Fujian Normal University, Ministry of Education, Key Laboratory of Optoelectronic Science and Techno, China
| | - Sufang Qiu
- Fujian Medical University Cancer Hospital, Fujian Provincial Key Laboratory of Translational Cancer, China
| | - Shangyuan Feng
- Fujian Normal University, Ministry of Education, Key Laboratory of Optoelectronic Science and Techno, China
| | - Rong Chen
- Fujian Normal University, Ministry of Education, Key Laboratory of Optoelectronic Science and Techno, China
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49
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"Optical and Surface Enhanced Raman Scattering properties of Ag modified silicon double nanocone array". Sci Rep 2017; 7:12106. [PMID: 28935978 PMCID: PMC5608876 DOI: 10.1038/s41598-017-12423-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Accepted: 09/06/2017] [Indexed: 01/27/2023] Open
Abstract
Surface enhanced Raman scattering (SERS) systems with large number of active sites exhibit superior capability in detection of low concentration analytes. In this paper, we present theoretical as well as experimental studies on the optical properties of a unique hybrid nanostructure, Ag NPs decorated silicon double nanocones (Si-DNCs) array, which provide high density of hot spots. The Si-DNC array is fabricated by employing electron beam lithography together with plasma etching process. Multipole analysis of the scattering spectra, based on the multipole expansion theory, confirms that the toroidal dipole moment dominates over other electric and magnetic multipole moments in the Si-DNCs array. This response occurs as a result of generating current densities flowing in opposite directions and consequently generating H-field vortexes inside the nanocones. Moreover, SERS applicability of this type of nanostructure is examined. For this purpose, the Si-DNCs array is decorated with Ag nanoparticles (NPs) by means of electroless deposition method. Simulation results indicate that combination of multiple resonances, including LSPR resonance of Ag NPs, longitudinal standing wave resonance of Ag layer and inter-particle interaction in the gap region, result in a significant SERS enhancement. Our experimental results demonstrate that Si-DNC/Ag NPs array substrate provides excellent reproducibility and ultrahigh sensitivity.
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50
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Adarsh N, Ramya AN, Maiti KK, Ramaiah D. Unveiling NIR Aza-Boron-Dipyrromethene (BODIPY) Dyes as Raman Probes: Surface-Enhanced Raman Scattering (SERS)-Guided Selective Detection and Imaging of Human Cancer Cells. Chemistry 2017; 23:14286-14291. [DOI: 10.1002/chem.201702626] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Indexed: 12/19/2022]
Affiliation(s)
- Nagappanpillai Adarsh
- Chemical Sciences and Technology Division; CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST); Thiruvananthapuram- 695 019, Kerala India
| | - Adukkadan N. Ramya
- Chemical Sciences and Technology Division; CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST); Thiruvananthapuram- 695 019, Kerala India
- Academy of Scientific and Innovative Research (AcSIR)-CSIR-NIIST; Thiruvananthapuram India
| | - Kaustabh Kumar Maiti
- Chemical Sciences and Technology Division; CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST); Thiruvananthapuram- 695 019, Kerala India
- Academy of Scientific and Innovative Research (AcSIR)-CSIR-NIIST; Thiruvananthapuram India
| | - Danaboyina Ramaiah
- Academy of Scientific and Innovative Research (AcSIR)-CSIR-NIIST; Thiruvananthapuram India
- CSIR-North East Institute of Science and Technology (CSIR-NEIST); Jorhat, Assam India
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