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Gobbato R, Fornasaro S, Sergo V, Bonifacio A. Direct comparison of different protocols to obtain surface enhanced Raman spectra of human serum. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 317:124390. [PMID: 38749203 DOI: 10.1016/j.saa.2024.124390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/21/2024] [Accepted: 04/29/2024] [Indexed: 05/31/2024]
Abstract
Label-free Surface Enhanced Raman Spectroscopy (SERS) is a rapid technique that has been extensively applied in clinical diagnosis and biomedicine for the analysis of biofluids. The purpose of this approach relies on the ability to detect specific "metabolic fingerprints" of complex biological samples, but the full potential of this technique in diagnostics is yet to be exploited, mainly because of the lack of common analytical protocols for sample preparation and analysis. Variation of experimental parameters, such as substrate type, laser wavelength and sample processing can greatly influence spectral patterns, making results from different research groups difficult to compare. This study aims at making a step toward a standardization of the protocols in the analysis of human serum samples with Ag nanoparticles, by directly comparing the SERS spectra obtained from five different methods in which parameters like laser power, nanoparticle concentration, incubation/deproteinization steps and type of substrate used vary. Two protocols are the most used in the literature, and the other three are "in-house" protocols proposed by our group; all of them are employed to analyze the same human serum sample. The experimental results show that all protocols yield spectra that share the same overall spectral pattern, conveying the same biochemical information, but they significantly differ in terms of overall spectral intensity, repeatability, and preparation steps of the sample. A Principal Component Analysis (PCA) was performed revealing that protocol 3 and protocol 1 have the least variability in the dataset, while protocol 2 and 4 are the least repeatable.
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Affiliation(s)
- Roberto Gobbato
- Raman Spectroscopy Laboratory, Department of Engineering and Architecture, University of Trieste, Via Valerio 6a, 34127 Trieste, TS, Italy.
| | - Stefano Fornasaro
- Department of Chemical and Pharmaceutical Sciences, University of Trieste, Via Licio Giorgieri 1, 34127 Trieste, TS, Italy.
| | - Valter Sergo
- Raman Spectroscopy Laboratory, Department of Engineering and Architecture, University of Trieste, Via Valerio 6a, 34127 Trieste, TS, Italy.
| | - Alois Bonifacio
- Raman Spectroscopy Laboratory, Department of Engineering and Architecture, University of Trieste, Via Valerio 6a, 34127 Trieste, TS, Italy.
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Bratchenko IA, Bratchenko LA. Comment on "Infrared spectroscopy for fast screening of diabetes and periodontitis". Photodiagnosis Photodyn Ther 2024:104276. [PMID: 39009204 DOI: 10.1016/j.pdpdt.2024.104276] [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: 05/02/2024] [Revised: 07/08/2024] [Accepted: 07/10/2024] [Indexed: 07/17/2024]
Abstract
This article discusses a recent research paper by da Silva et al [12] on screening diabetes and periodontitis by means of the in vitro infrared spectroscopic analysis of human saliva which was published in the Photodiagnosis and Photodynamic Therapy journal. Despite the reported high performance of the suggested approach, the demonstrated findings could be treated as unclear due to possible drawbacks in classification models validation. The data need to be provided both for the training set and for the validation set to make sure that there is no repeated data from the same sample in the training and validation sets.
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Affiliation(s)
- Ivan A Bratchenko
- Laser and Biotechnical Systems Department, Samara National Research University, Moskovskoe shosse 34, Samara 443086, Russia.
| | - Lyudmila A Bratchenko
- Laser and Biotechnical Systems Department, Samara National Research University, Moskovskoe shosse 34, Samara 443086, Russia
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Bi X, Wang J, Xue B, He C, Liu F, Chen H, Lin LL, Dong B, Li B, Jin C, Pan J, Xue W, Ye J. SERSomes for metabolic phenotyping and prostate cancer diagnosis. Cell Rep Med 2024; 5:101579. [PMID: 38776910 PMCID: PMC11228451 DOI: 10.1016/j.xcrm.2024.101579] [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: 09/27/2023] [Revised: 03/08/2024] [Accepted: 04/29/2024] [Indexed: 05/25/2024]
Abstract
Molecular phenotypic variations in metabolites offer the promise of rapid profiling of physiological and pathological states for diagnosis, monitoring, and prognosis. Since present methods are expensive, time-consuming, and still not sensitive enough, there is an urgent need for approaches that can interrogate complex biological fluids at a system-wide level. Here, we introduce hyperspectral surface-enhanced Raman spectroscopy (SERS) to profile microliters of biofluidic metabolite extraction in 15 min with a spectral set, SERSome, that can be used to describe the structures and functions of various molecules produced in the biofluid at a specific time via SERS characteristics. The metabolite differences of various biofluids, including cell culture medium and human serum, are successfully profiled, showing a diagnosis accuracy of 80.8% on the internal test set and 73% on the external validation set for prostate cancer, discovering potential biomarkers, and predicting the tissue-level pathological aggressiveness. SERSomes offer a promising methodology for metabolic phenotyping.
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Affiliation(s)
- Xinyuan Bi
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Jiayi Wang
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Bingsen Xue
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China; Shanghai Artificial Intelligence Laboratory, Shanghai, China
| | - Chang He
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Fugang Liu
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Haoran Chen
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Linley Li Lin
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Baijun Dong
- Department of Urology, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Science, Shanghai, P.R. China
| | - Butang Li
- Department of Urology, Ningbo Hangzhou Bay Hospital, Ningbo, Zhejiang, P.R. China
| | - Cheng Jin
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China; Shanghai Artificial Intelligence Laboratory, Shanghai, China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, P.R. China.
| | - Jiahua Pan
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China.
| | - Wei Xue
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China.
| | - Jian Ye
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, P.R. China; Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China.
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Lee S, Jue M, Lee K, Paulson B, Oh J, Cho M, Kim JK. Early-stage diagnosis of bladder cancer using surface-enhanced Raman spectroscopy combined with machine learning algorithms in a rat model. Biosens Bioelectron 2024; 246:115915. [PMID: 38081101 DOI: 10.1016/j.bios.2023.115915] [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: 04/24/2023] [Revised: 07/24/2023] [Accepted: 12/04/2023] [Indexed: 12/30/2023]
Abstract
Early diagnosis and accurate assessment of tumor development facilitate early bladder cancer resection and initiation of drug therapy. This study enabled an early, accurate, label-free, noninvasive diagnosis of bladder tumors by analyzing nano-biomarkers in a single drop of urine through surface-enhanced Raman spectroscopy (SERS). In a standard N-butyl-N-4-hydroxybutyl nitrosamine-induced rat model of bladder cancer, cancer stage and polyp tumor development were monitored using a small endoscope with a diameter of 1.2 mm in a minimally invasive manner without the need to kill the rats. Samples were divided into cancer-free, early-stage, and polyp-form cancer. Training data were classified according to micro-cystoscopic 5-aminolevulinic acid fluorescence diagnosis, and specimens were postmortem verified through histopathological analysis. A drop of urine from each sample group was placed on an Au-coated zinc oxide nanoporous chip to filter nano-biomaterials and selectively enhance the Raman signals of nanoscale analytes via SERS. Principal component analysis was used to reduce the dimensionality of the collected Raman spectra, and partial least squares discriminant analysis was used to find diagnostic clusters based on the labeled samples. The combination of SERS and machine learning achieved an accuracy ≥99.6% in diagnosing both early- and polyp-stage bladder tumors. With an area under the receiver operating characteristic curve greater than 0.996, the accuracy of the diagnosis in the rat model suggests that SERS-based diagnostic methods are promising when coupled with machine learning. Low-cost, label-free, and noninvasive surface-enhanced Raman spectra are ideal for developing clinically relevant point-of-care diagnostic techniques.
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Affiliation(s)
- Sanghwa Lee
- Biomedical Engineering Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, 05505, Republic of Korea
| | - Miyeon Jue
- Biomedical Engineering Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, 05505, Republic of Korea; Apollon, Inc., 68 Achasan-ro, Seongdong-gu, Seoul, 05505, Republic of Korea
| | - Kwanhee Lee
- Department of Biomedical Engineering, College of Medicine, University of Ulsan, Seoul, 05505, Republic of Korea
| | - Bjorn Paulson
- Biomedical Engineering Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, 05505, Republic of Korea; Morgridge Institute for Research, Madison, WI, 53715, USA
| | - Jeongmin Oh
- Department of Biomedical Engineering, College of Medicine, University of Ulsan, Seoul, 05505, Republic of Korea
| | - Minju Cho
- Department of Biomedical Engineering, College of Medicine, University of Ulsan, Seoul, 05505, Republic of Korea
| | - Jun Ki Kim
- Biomedical Engineering Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, 05505, Republic of Korea; Department of Biomedical Engineering, College of Medicine, University of Ulsan, Seoul, 05505, Republic of Korea.
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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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Ahmadipour M, Bhattacharya A, Sarafbidabad M, Syuhada Sazali E, Krishna Ghoshal S, Satgunam M, Singh R, Rezaei Ardani M, Missaoui N, Kahri H, Pal U, Ling Pang A. CA19-9 and CEA biosensors in pancreatic cancer. Clin Chim Acta 2024; 554:117788. [PMID: 38246211 DOI: 10.1016/j.cca.2024.117788] [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: 11/11/2023] [Revised: 01/15/2024] [Accepted: 01/15/2024] [Indexed: 01/23/2024]
Abstract
Cancer is a complex pathophysiological condition causing millions of deaths each year. Early diagnosis is essential especially for pancreatic cancer. Existing diagnostic tools rely on circulating biomarkers such as Carbohydrate Antigen 19-9 (CA19-9) and Carcinoembryonic Antigen (CEA). Unfortunately, these markers are nonspecific and may be increased in a variety of disorders. Accordingly, diagnosis of pancreatic cancer generally involves more invasive approaches such as biopsy as well as imaging studies. Recent advances in biosensor technology have allowed the development of precise diagnostic tools having enhanced analytical sensitivity and specificity. Herein we examine these advances in the detection of cancer in general and in pancreatic cancer specifically. Furthermore, we highlight novel technologies in the measurement of CA19-9 and CEA and explore their future application in the early detection of pancreatic cancer.
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Affiliation(s)
- Mohsen Ahmadipour
- Institute of Power Engineering, Universiti Tenaga Nasional, 43650 Serdang, Selangor, Malaysia.
| | - Anish Bhattacharya
- Advanced Optical Materials Research Group, Department of Physics, Faculty of Science, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia; Ibnu Sina Institute of Laser Centre, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
| | - Mohsen Sarafbidabad
- Biomedical Engineering Department, Faculty of Engineering, University of Isfahan, Isfahan, Iran
| | - Ezza Syuhada Sazali
- Advanced Optical Materials Research Group, Department of Physics, Faculty of Science, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia; Ibnu Sina Institute of Laser Centre, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
| | - Sib Krishna Ghoshal
- Advanced Optical Materials Research Group, Department of Physics, Faculty of Science, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia; Ibnu Sina Institute of Laser Centre, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
| | - Meenaloshini Satgunam
- Institute of Power Engineering, Universiti Tenaga Nasional, 43650 Serdang, Selangor, Malaysia; Department of Mechanical Engineering, Universiti Tenaga Nasional, 43650 Serdang, Selangor, Malaysia
| | - Ramesh Singh
- Institute of Power Engineering, Universiti Tenaga Nasional, 43650 Serdang, Selangor, Malaysia; Center of Advanced Manufacturing and Materials Processing (AMMP), Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Mohammad Rezaei Ardani
- School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Pulau Pinang, Malaysia
| | - Nadhem Missaoui
- Laboratory of Interfaces and Advanced Materials, Faculty of Sciences, University of Monastir, Monastir, Tunisia
| | - Hamza Kahri
- Laboratory of Interfaces and Advanced Materials, Faculty of Sciences, University of Monastir, Monastir, Tunisia
| | - Ujjwal Pal
- Department of Analytical and Structural Chemistry, CSIR-Indian Institute of Chemical Technology, Hyderabad, India
| | - Ai Ling Pang
- Department of Chemical Science, Faculty of Science, Universiti Tunku Abdul Rahman, 31900 Kampar, Perak, Malaysia
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Bi X, Lin L, Chen Z, Ye J. Artificial Intelligence for Surface-Enhanced Raman Spectroscopy. SMALL METHODS 2024; 8:e2301243. [PMID: 37888799 DOI: 10.1002/smtd.202301243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/11/2023] [Indexed: 10/28/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS), well acknowledged as a fingerprinting and sensitive analytical technique, has exerted high applicational value in a broad range of fields including biomedicine, environmental protection, food safety among the others. In the endless pursuit of ever-sensitive, robust, and comprehensive sensing and imaging, advancements keep emerging in the whole pipeline of SERS, from the design of SERS substrates and reporter molecules, synthetic route planning, instrument refinement, to data preprocessing and analysis methods. Artificial intelligence (AI), which is created to imitate and eventually exceed human behaviors, has exhibited its power in learning high-level representations and recognizing complicated patterns with exceptional automaticity. Therefore, facing up with the intertwining influential factors and explosive data size, AI has been increasingly leveraged in all the above-mentioned aspects in SERS, presenting elite efficiency in accelerating systematic optimization and deepening understanding about the fundamental physics and spectral data, which far transcends human labors and conventional computations. In this review, the recent progresses in SERS are summarized through the integration of AI, and new insights of the challenges and perspectives are provided in aim to better gear SERS toward the fast track.
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Affiliation(s)
- Xinyuan Bi
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Li Lin
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Zhou Chen
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Jian Ye
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
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Timpel J, Klinghammer S, Riemenschneider L, Ibarlucea B, Cuniberti G, Hannig C, Sterzenbach T. Sensors for in situ monitoring of oral and dental health parameters in saliva. Clin Oral Investig 2023; 27:5719-5736. [PMID: 37698630 PMCID: PMC10560166 DOI: 10.1007/s00784-023-05206-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 08/11/2023] [Indexed: 09/13/2023]
Abstract
OBJECTIVES The oral cavity is an easily accessible unique environment and open system which is influenced by the oral fluids, microbiota, and nutrition. Little is known about the kinetics and dynamics of metabolic processes at the intraoral surfaces. Real-time monitoring of salivary biomarkers, e.g., glucose, lactate, fluoride, calcium, phosphate, and pH with intraoral sensors is therefore of major interest. The aim of this review is to overview the existing literature for intraoral saliva sensors. MATERIALS AND METHODS A comprehensive literature search was performed to review the most relevant studies on intraoral saliva sensor technology. RESULTS There is limited literature about the in situ saliva monitoring of salivary biomarkers. Bioadhesion and biofouling processes at the intraoral surfaces limit the performances of the sensors. Real-time, long-term, and continuous intraoral measurement of salivary metabolites remains challenging and needs further investigation as only few well-functioning sensors have been developed until today. Until now, there is no sensor that measures reliably beyond hours for any analyte other than glucose. CONCLUSIONS Saliva's complex and dynamic structure as well as bioadhesion are key challenges and should be addressed in the future developments. Consequently, more studies that focus particularly on biofouling processes and interferential effects of the salivary matrix components on sensor surfaces are required. CLINICAL RELEVANCE By monitoring fluids in the oral cavity, as the entrance to the digestive system, extensive information can be obtained regarding the effects of foods and preventive agents on the oral microbiota and the tooth surfaces. This may lead to a better understanding of strategies to modulate oral and general health.
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Affiliation(s)
- Julia Timpel
- Clinic of Operative and Pediatric Dentistry, Medical Faculty Carl Gustav Carus, Dresden University of Technology, Fetscherstraße 74, 01307, Dresden, Germany.
- Else Kröner-Fresenius Center for Digital Health (EKFZ), Dresden University of Technology, 01309, Dresden, Germany.
| | - Stephanie Klinghammer
- Else Kröner-Fresenius Center for Digital Health (EKFZ), Dresden University of Technology, 01309, Dresden, Germany
- Institute for Materials Science and Max Bergmann Center for Biomaterials, Dresden University of Technology, 01069, Dresden, Germany
| | - Leif Riemenschneider
- Else Kröner-Fresenius Center for Digital Health (EKFZ), Dresden University of Technology, 01309, Dresden, Germany
- Institute for Materials Science and Max Bergmann Center for Biomaterials, Dresden University of Technology, 01069, Dresden, Germany
| | - Bergoi Ibarlucea
- Else Kröner-Fresenius Center for Digital Health (EKFZ), Dresden University of Technology, 01309, Dresden, Germany
- Institute for Materials Science and Max Bergmann Center for Biomaterials, Dresden University of Technology, 01069, Dresden, Germany
| | - Gianaurelio Cuniberti
- Else Kröner-Fresenius Center for Digital Health (EKFZ), Dresden University of Technology, 01309, Dresden, Germany
- Institute for Materials Science and Max Bergmann Center for Biomaterials, Dresden University of Technology, 01069, Dresden, Germany
| | - Christian Hannig
- Clinic of Operative and Pediatric Dentistry, Medical Faculty Carl Gustav Carus, Dresden University of Technology, Fetscherstraße 74, 01307, Dresden, Germany
- Else Kröner-Fresenius Center for Digital Health (EKFZ), Dresden University of Technology, 01309, Dresden, Germany
| | - Torsten Sterzenbach
- Clinic of Operative and Pediatric Dentistry, Medical Faculty Carl Gustav Carus, Dresden University of Technology, Fetscherstraße 74, 01307, Dresden, Germany
- Else Kröner-Fresenius Center for Digital Health (EKFZ), Dresden University of Technology, 01309, Dresden, Germany
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Guleken Z, Ceylan Z, Aday A, Bayrak AG, Hindilerden İY, Nalçacı M, Jakubczyk P, Jakubczyk D, Kula-Maximenko M, Depciuch J. Detection of primary myelofibrosis in blood serum via Raman spectroscopy assisted by machine learning approaches; correlation with clinical diagnosis. NANOMEDICINE : NANOTECHNOLOGY, BIOLOGY, AND MEDICINE 2023; 53:102706. [PMID: 37633405 DOI: 10.1016/j.nano.2023.102706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 08/19/2023] [Accepted: 08/19/2023] [Indexed: 08/28/2023]
Abstract
Primary myelofibrosis (PM) is one of the myeloproliferative neoplasm, where stem cell-derived clonal neoplasms was noticed. Diagnosis of this disease is based on: physical examination, peripheral blood findings, bone marrow morphology, cytogenetics, and molecular markers. However, the molecular marker of PM, which is a mutation in the JAK2V617F gene, was observed also in other myeloproliferative neoplasms such as polycythemia vera and essential thrombocythemia. Therefore, there is a need to find methods that provide a marker unique to PM and allow for higher accuracy of PM diagnosis and consequently the treatment of the disease. Continuing, in this study, we used Raman spectroscopy, Principal Components Analysis (PCA), and Partial Least Squares (PLS) analysis as helpful diagnostic tools for PM. Consequently, we used serum collected from PM patients, which were classified using clinical parameters of PM such as the dynamic international prognostic scoring system (DIPSS) for primary myelofibrosis plus score, the JAK2V617F mutation, spleen size, bone marrow reticulin fibrosis degree and use of hydroxyurea drug features. Raman spectra showed higher amounts of C-H, C-C and C-C/C-N and amide II and lower amounts of amide I and vibrations of CH3 groups in PM patients than in healthy ones. Furthermore, shifts of amides II and I vibrations in PM patients were noticed. Machine learning methods were used to analyze Raman regions: (i) 800 cm-1 and 1800 cm-1, (ii) 1600 cm-1-1700 cm-1, and (iii) 2700 cm-1-3000 cm-1 showed 100 % accuracy, sensitivity, and specificity. Differences in the spectral dynamic showed that differences in the amide II and amide I regions were the most significant in distinguishing between PM and healthy subjects. Importantly, until now, the efficacy of Raman spectroscopy has not been established in clinical diagnostics of PM disease using the correlation between Raman spectra and PM clinical prognostic scoring. Continuing, our results showed the correlation between Raman signals and bone marrow fibrosis, as well as JAKV617F. Consequently, the results revealed that Raman spectroscopy has a high potential for use in medical laboratory diagnostics to quantify multiple biomarkers simultaneously, especially in the selected Raman regions.
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Affiliation(s)
- Zozan Guleken
- Faculty of Medicine, Department of Physiology, Gaziantep Islam Science and Technology University, Gaziantep, Turkey; Faculty of Medicine, Rzeszów University, Rzeszów, Poland.
| | - Zeynep Ceylan
- Samsun University, Faculty of Engineering, Department of Industrial Engineering, Samsun, Turkey
| | - Aynur Aday
- Istanbul University, Faculty of Medicine, Department of Internal Medicine, Division of Medical Genetics, Turkey
| | - Ayşe Gül Bayrak
- Istanbul University, Faculty of Medicine, Department of Internal Medicine, Division of Medical Genetics, Turkey
| | - İpek Yönal Hindilerden
- Istanbul University Istanbul Faculty of Medicine, Department of Internal Medicine, Division of Hematology, Turkey
| | - Meliha Nalçacı
- Istanbul University Istanbul Faculty of Medicine, Department of Internal Medicine, Division of Hematology, Turkey
| | | | - Dorota Jakubczyk
- Faculty of Mathematics and Applied Physics, Rzeszow University of Technology, Powstancow Warszawy 12, PL-35959 Rzeszow, Poland
| | - Monika Kula-Maximenko
- Institute of Plant Physiology, Polish Academy of Sciences, Niezapominajek 21, 30-239 Kraków, Poland
| | - Joanna Depciuch
- Institute of Nuclear Physics, PAS, 31342 Krakow, Poland; Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093 Lublin, Poland.
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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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Amber A, Nawaz H, Bhatti HN, Mushtaq Z. Surface-enhanced Raman spectroscopy for the characterization of different anatomical subtypes of oral cavity cancer. Photodiagnosis Photodyn Ther 2023:103607. [PMID: 37220841 DOI: 10.1016/j.pdpdt.2023.103607] [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: 03/27/2023] [Revised: 05/04/2023] [Accepted: 05/09/2023] [Indexed: 05/25/2023]
Abstract
BACKGROUND The prognosis for oral cancer patients is still very poor worldwide. Early detection and treatment therapy remain the key issue to be addressed for improved patient survival. The characteristic Raman spectral features associated with the biochemical changes in the blood serum samples can be used for the diagnosis of diseases, particularly for oral cancer. Surface-enhanced Raman spectroscopy (SERS) is a promising technique for non-invasive and early detection of oral cancer by analyzing molecular changes in body fluids. OBJECTIVES To detect oral cavity anatomical subsites (buccal mucosa, cheek, hard palate, lips, mandible, maxilla, tongue and tonsillar region) cancers by using blood serum samples, SERS with principal component analysis is used. MATERIAL AND METHOD SERS is employed with silver nanoparticles for the analysis and detection of oral cancer serum samples by comparing with healthy serum samples. SERS spectra are recorded by Raman instrument and preprocessed using the statistical tool. Principal component analysis (PCA) and Partial least square discriminant analysis (PLS-DA) are used to discriminate between oral cancer serum samples and control serum samples. RESULTS Some major SERS peaks are observed at 1136 cm-1 (Phospholipids) and 1006 cm-1 (Phenylalanine) remain higher in intensities for oral cancer spectra as compared to healthy spectra. The peak at 1241 cm-1 (amide III) is observed only in oral cancer serum samples while absent in healthy serum samples. Higher protein and DNA contents were detected in SERS mean spectra of oral cancer. Moreover, PCA is used to identify the biochemical differences in the form of SERS features which is used to differentiate between oral cancer and healthy blood serum samples, while PLS-DA is used to build differentiation model of oral cancer serum samples and healthy control serum samples. PLS-DA provides successful differentiation with 94% specificity and 95.5% sensitivity. CONCLUSIONS SERS can be used for the diagnosis of oral cancer and to identify metabolic changes that occur during disease development.
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Affiliation(s)
- Arooj Amber
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, (38000), Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, (38000), Pakistan.
| | - Haq Nawaz Bhatti
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, (38000), Pakistan
| | - Zahid Mushtaq
- Department of Biochemistry, University of Agriculture Faisalabad, Faisalabad, (38000), Pakistan
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12
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Ehsan U, Nawaz H, Irfan Majeed M, Rashid N, Ali Z, Zulfiqar A, Tariq A, Shahbaz M, Meraj L, Naheed I, Sadaf N. Surface-enhanced Raman spectroscopy of centrifuged blood serum samples of diabetic type II patients by using 50KDa filter devices. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 293:122457. [PMID: 36764165 DOI: 10.1016/j.saa.2023.122457] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 02/03/2023] [Indexed: 06/18/2023]
Abstract
Blood serum contains essential biochemical information which are used for early disease diagnosis. Blood serum consisted of higher molecular weight fractions (HMWF) and lower molecular weight fractions (LMWF). The disease biomarkers are lower molecular weight fraction proteins, and their contribution to disease diagnosis is suppressed due to higher molecular weight fraction proteins. To diagnose diabetes in early stages are difficult because of the presence of huge amount of these HMWF. In the current study, surface-enhanced Raman spectroscopy (SERS) are employed to diagnose diabetes after centrifugation of serum samples using Amicon ultra filter devices of 50 kDa which produced two fractions of whole blood serum of filtrate, low molecular weight fraction, and residue, high molecular weight fraction. Furthermore SERS is employed to study the LMW fractions of healthy and diseased samples. Some prominent SERS bands are observed at 725 cm-1, 842 cm-1, 1025 cm-1, 959 cm-1, and 1447 cm-1 due to small molecular weight proteins, and these biomarkers helped to diagnose the disease early stage. Moreover, chemometric techniques such as principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) are employed to check the potential of surface-enhanced Raman spectroscopy for the differentiation and classifications of the blood serum samples. SERS can be employed for the early diagnosis and screening of biochemical changes during type II diabetes.
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Affiliation(s)
- Usama Ehsan
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan.
| | - Zain Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Anam Zulfiqar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ayesha Tariq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Shahbaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Lubna Meraj
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Iqra Naheed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Nimra Sadaf
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
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Huang Y, Yuan B, Wang X, Dai Y, Wang D, Gong Z, Chen J, Shen L, Fan M, Li Z. Industrial wastewater source tracing: The initiative of SERS spectral signature aided by a one-dimensional convolutional neural network. WATER RESEARCH 2023; 232:119662. [PMID: 36738556 DOI: 10.1016/j.watres.2023.119662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 12/31/2022] [Accepted: 01/22/2023] [Indexed: 06/18/2023]
Abstract
The spectral fingerprint is a significant concept in nontarget screening of environmental samples to direct identification efforts to relevant and important features. Surface-enhanced Raman scattering (SERS) has long been recognized as an optical method that can provide fingerprint-like chemical information at the single-molecule level. Here, the advanced one-dimensional convolutional neural network (1D-CNN) approach was applied to accurately identify the SERS spectral signature of industrial wastewaters for source tracing. A total of 66,000 SERS spectra were acquired from wastewaters of 22 factories across 10 industrial categories at three excitation wavelengths after data augmentation. The dataset was used to train a 1D-CNN model consisting of three convolutional layers to achieve adequate feature extraction of SERS spectra. As a proof-of-concept, multimixed wastewater samples were used to simulate practical pollution scenarios and evaluate the application potential of the model. The SERS-1D-CNN platform can identify the amount and factory information of wastewaters in multimixed samples, which achieves a recognition accuracy rate of 97.33%. The results suggest that even in a complex and unknown water environment, the 1D-CNN model can accurately identify industrial wastewaters in precollected datasets, exhibiting excellent potential in pollution source tracing.
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Affiliation(s)
- Yuting Huang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Bingxue Yuan
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Xueqing Wang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Yongsheng Dai
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Dongmei Wang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Zhengjun Gong
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Junmin Chen
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Li Shen
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
| | - Meikun Fan
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
| | - Zhilin Li
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
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Sequeira-Antunes B, Ferreira HA. Urinary Biomarkers and Point-of-Care Urinalysis Devices for Early Diagnosis and Management of Disease: A Review. Biomedicines 2023; 11:biomedicines11041051. [PMID: 37189669 DOI: 10.3390/biomedicines11041051] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 03/10/2023] [Accepted: 03/27/2023] [Indexed: 03/31/2023] Open
Abstract
Biosensing and microfluidics technologies are transforming diagnostic medicine by accurately detecting biomolecules in biological samples. Urine is a promising biological fluid for diagnostics due to its noninvasive collection and wide range of diagnostic biomarkers. Point-of-care urinalysis, which integrates biosensing and microfluidics, has the potential to bring affordable and rapid diagnostics into the home to continuing monitoring, but challenges still remain. As such, this review aims to provide an overview of biomarkers that are or could be used to diagnose and monitor diseases, including cancer, cardiovascular diseases, kidney diseases, and neurodegenerative disorders, such as Alzheimer’s disease. Additionally, the different materials and techniques for the fabrication of microfluidic structures along with the biosensing technologies often used to detect and quantify biological molecules and organisms are reviewed. Ultimately, this review discusses the current state of point-of-care urinalysis devices and highlights the potential of these technologies to improve patient outcomes. Traditional point-of-care urinalysis devices require the manual collection of urine, which may be unpleasant, cumbersome, or prone to errors. To overcome this issue, the toilet itself can be used as an alternative specimen collection and urinalysis device. This review then presents several smart toilet systems and incorporated sanitary devices for this purpose.
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Tian F, de Carvalho LFDCES, Casey A, Nogueira MS, Byrne HJ. Surface-Enhanced Raman Analysis of Uric Acid and Hypoxanthine Analysis in Fractionated Bodily Fluids. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:1216. [PMID: 37049309 PMCID: PMC10097234 DOI: 10.3390/nano13071216] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 03/26/2023] [Accepted: 03/27/2023] [Indexed: 06/19/2023]
Abstract
In recent years, the disease burden of hyperuricemia has been increasing, especially in high-income countries and the economically developing world with a Western lifestyle. Abnormal levels of uric acid and hypoxanthine are associated with many diseases, and therefore, to demonstrate improved methods of uric acid and hypoxanthine detection, three different bodily fluids were analysed using surface-enhanced Raman spectroscopy (SERS) and high-performance liquid chromatography (HPLC). Gold nanostar suspensions were mixed with series dilutions of uric acid and hypoxanthine, 3 kDa centrifugally filtered human blood serum, urine and saliva. The results show that gold nanostars enable the quantitative detection of the concentration of uric acid and hypoxanthine in the range 5-50 μg/mL and 50-250 ng/mL, respectively. The peak areas of HPLC and maximum peak intensity of SERS have strongly correlated, notably with the peaks of uric acid and hypoxanthine at 1000 and 640 cm-1, respectively. The r2 is 0.975 and 0.959 for uric acid and hypoxanthine, respectively. Each of the three body fluids has a number of spectral features in common with uric acid and hypoxanthine. The large overlap of the spectral bands of the SERS of uric acid against three body fluids at spectra peaks were at 442, 712, 802, 1000, 1086, 1206, 1343, 1436 and 1560 cm-1. The features at 560, 640, 803, 1206, 1290 and 1620 cm-1 from hypoxanthine were common to serum, saliva and urine. There is no statistical difference between HPLC and SERS for determination of the concentration of uric acid and hypoxanthine (p > 0.05). For clinical applications, 3 kDa centrifugal filtration followed by SERS can be used for uric acid and hypoxanthine screening is, which can be used to reveal the subtle abnormalities enhancing the great potential of vibrational spectroscopy as an analytical tool. Our work supports the hypnosis that it is possible to obtain the specific concentration of uric acid and hypoxanthine by comparing the SER signals of serum, saliva and urine. In the future, the analysis of other biofluids can be employed to detect biomarkers for the diagnosis of systemic pathologies.
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Affiliation(s)
- Furong Tian
- FOCAS Research Institute, Technological University Dublin Camden Row, D08CKP1 Dublin, Ireland; (A.C.)
| | - Luis Felipe das Chagas e Silva de Carvalho
- FOCAS Research Institute, Technological University Dublin Camden Row, D08CKP1 Dublin, Ireland; (A.C.)
- Centro Universitario Braz Cubas, Mogi das Cruzes 08773-380, Brazil
- Universidade de Taubate, Taubate 12080-000, Brazil
| | - Alan Casey
- FOCAS Research Institute, Technological University Dublin Camden Row, D08CKP1 Dublin, Ireland; (A.C.)
| | - Marcelo Saito Nogueira
- Tyndall National Institute, Lee Maltings Complex, Dyke Parade, T12R5CP Cork, Ireland;
- Department of Physics, University College Cork, College Road, T12K8AF Cork, Ireland
| | - Hugh J. Byrne
- FOCAS Research Institute, Technological University Dublin Camden Row, D08CKP1 Dublin, Ireland; (A.C.)
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AlMasoud N, Alomar TS, Xu Y, Lima C, Goodacre R. Rapid detection and quantification of paracetamol and its major metabolites using surface enhanced Raman scattering. Analyst 2023; 148:1805-1814. [PMID: 36938623 DOI: 10.1039/d3an00249g] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
Abstract
Paracetamol (also known as acetaminophen) is an over-the-counter (OTC) drug that is commonly used as an analgesic for mild pain, headache, cold and flu. While in the short term it is a safe and effective medicine, it is sometimes used for attempted suicides particularly in young adults. In such circumstances it is important for rapid diagnosis of overdoses as antidotes can be given to limit liver damage from one of its primary metabolites N-acetyl-p-benzoquinone imine (NAPQI). Unfortunately, the demand for rapid and sensitive analytical techniques to accurately monitor the abuse of OTC drugs has significantly risen. Ideally these techniques would be highly specific, sensitive, reproducible, portable and rapid. In addition, an ideal point of care (PoC) test would enable quantitative detection of drugs and their metabolites present in body fluids. While Raman spectroscopy meets these specifications, there is a need for enhancement of the signal because the Raman effect is weak. In this study, we developed a surface-enhanced Raman scattering (SERS) methodology in conjunction with chemometrics to quantify the amount of paracetamol and its main primary metabolites (viz., paracetamol sulfate, p-acetamidophenyl β-D-glucuronide and NAPQI) in water and artificial urine. The enhancement of the SERS signals was achieved by mixing the drug or xenometabolites with a gold nanoparticle followed by aggregation with 0.045 M NaCl. We found that the SERS data could be collected directly, due to immediate analyte association with the Au surface and colloid aggregation. Accurate and precise measurements were generated, with a limit of detection (LoD) of paracetamol in water and artificial urine at 7.18 × 10-6 M and 2.11 × 10-5 M, respectively, which is well below the limit needed for overdose and indeed normal levels of paracetamol in serum after taking 1 g orally. The predictive values obtained from the analysis of paracetamol in water and artificial urine were also excellent, with the coefficient of determination (Q2) being 0.995 and 0.996, respectively (1 suggests a perfect model). It was noteworthy that when artificial urine was spiked with paracetamol, no aggregating agent was required due to the salt rich medium, which led to spontaneous aggregation. Moreover, for the xenometabolites of paracetamol excellent LoDs were obtained and these ranged from 2.6 × 10-4 M to 5 × 10-5 M with paracetamol sulfate and NAPQI having Q2 values of 0.934 and 0.892 and for p-acetamidophenyl β-D-glucuronide this was slightly lower at 0.6437.
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Affiliation(s)
- Najla AlMasoud
- Department of Chemistry, College of Science, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia.,Centre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK.
| | - Taghrid S Alomar
- Department of Chemistry, College of Science, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia.,Centre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK.
| | - Yun Xu
- Centre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK.
| | - Cassio Lima
- Centre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK.
| | - Royston Goodacre
- Centre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK.
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Sheehy G, Picot F, Dallaire F, Ember K, Nguyen T, Petrecca K, Trudel D, Leblond F. Open-sourced Raman spectroscopy data processing package implementing a baseline removal algorithm validated from multiple datasets acquired in human tissue and biofluids. JOURNAL OF BIOMEDICAL OPTICS 2023; 28:025002. [PMID: 36825245 PMCID: PMC9941747 DOI: 10.1117/1.jbo.28.2.025002] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 01/30/2023] [Indexed: 05/25/2023]
Abstract
SIGNIFICANCE Standardized data processing approaches are required in the field of bio-Raman spectroscopy to ensure information associated with spectral data acquired by different research groups, and with different systems, can be compared on an equal footing. AIM An open-sourced data processing software package was developed, implementing algorithms associated with all steps required to isolate the inelastic scattering component from signals acquired using Raman spectroscopy devices. The package includes a novel morphological baseline removal technique (BubbleFill) that provides increased adaptability to complex baseline shapes compared to current gold standard techniques. Also incorporated in the package is a versatile tool simulating spectroscopic data with varying levels of Raman signal-to-background ratios, baselines with different morphologies, and varying levels of stochastic noise. RESULTS Application of the BubbleFill technique to simulated data demonstrated superior baseline removal performance compared to standard algorithms, including iModPoly and MorphBR. The data processing workflow of the open-sourced package was validated in four independent in-human datasets, demonstrating it leads to inter-systems data compatibility. CONCLUSIONS A new open-sourced spectroscopic data pre-processing package was validated on simulated and real-world in-human data and is now available to researchers and clinicians for the development of new clinical applications using Raman spectroscopy.
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Affiliation(s)
- Guillaume Sheehy
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Fabien Picot
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Frédérick Dallaire
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Katherine Ember
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Tien Nguyen
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Kevin Petrecca
- McGill University, Montreal Neurological Institute-Hospital, Division of Neuropathology, Department of Pathology, Montreal, Quebec, Canada
| | - Dominique Trudel
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Université de Montréal, Department of Pathology and Cellular Biology, Montreal, Quebec, Canada
- Center Hospitalier de l’Université de Montréal, Department of Pathology, Montreal, Quebec, Canada
| | - Frédéric Leblond
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
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18
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Lenk T, Schröder U. An experimental guide to in operando electrochemical Raman spectroscopy. J Solid State Electrochem 2023. [DOI: 10.1007/s10008-023-05381-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
AbstractElectrochemical Raman spectroscopy can provide valuable insights into electrochemical reaction mechanisms. However, it also shows various pitfalls and challenges. This paper gives an overview of the necessary theoretical background, crucial practical considerations for successful measurement, and guidance for in situ/in operando electrochemical Raman spectroscopy. Several parameters must be optimized for suitable reaction and measurement conditions. From the experimental side, considerations for the setup, suitable signal enhancement methods, choice of material, laser, and objective lens are discussed. Different interface phenomena are reviewed in the context of data interpretation and evaluation.
Graphical Abstract
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19
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Szymoński K, Chmura Ł, Lipiec E, Adamek D. Vibrational spectroscopy – are we close to finding a solution for early pancreatic cancer diagnosis? World J Gastroenterol 2023; 29:96-109. [PMID: 36683712 PMCID: PMC9850953 DOI: 10.3748/wjg.v29.i1.96] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 10/03/2022] [Accepted: 10/31/2022] [Indexed: 01/04/2023] Open
Abstract
Pancreatic cancer (PC) is an aggressive and lethal neoplasm, ranking seventh in the world for cancer deaths, with an overall 5-year survival rate of below 10%. The knowledge about PC pathogenesis is rapidly expanding. New aspects of tumor biology, including its molecular and morphological heterogeneity, have been reported to explain the complicated “cross-talk” that occurs between the cancer cells and the tumor stroma or the nature of pancreatic ductal adenocarcinoma-associated neural remodeling. Nevertheless, currently, there are no specific and sensitive diagnosis options for PC. Vibrational spectroscopy (VS) shows a promising role in the development of early diagnosis technology. In this review, we summarize recent reports about improvements in spectroscopic methodologies, briefly explain and highlight the drawbacks of each of them, and discuss available solutions. The important aspects of spectroscopic data evaluation with multivariate analysis and a convolutional neural network methodology are depicted. We conclude by presenting a study design for systemic verification of the VS-based methods in the diagnosis of PC.
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Affiliation(s)
- Krzysztof Szymoński
- Department of Pathomorphology, Jagiellonian University Medical College, Cracow 33-332, Poland
- Department of Pathomorphology, University Hospital in Cracow, Cracow 31-501, Poland
| | - Łukasz Chmura
- Department of Pathomorphology, Jagiellonian University Medical College, Cracow 33-332, Poland
- Department of Pathomorphology, University Hospital in Cracow, Cracow 31-501, Poland
| | - Ewelina Lipiec
- M. Smoluchowski Institute of Physics, Jagiellonian University, Cracow 30-348, Poland
| | - Dariusz Adamek
- Department of Pathomorphology, University Hospital in Cracow, Cracow 31-501, Poland
- Department of Neuropathology, Jagiellonian University Medical College, Cracow 33-332, Poland
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Bratchenko IA, Bratchenko LA. Comment on "Serum Raman spectroscopy combined with multiple classification models for rapid diagnosis of breast cancer". Photodiagnosis Photodyn Ther 2022; 41:103215. [PMID: 36464216 DOI: 10.1016/j.pdpdt.2022.103215] [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: 10/21/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 12/05/2022]
Abstract
This paper comments recent findings about Raman spectroscopy application for breast cancer detection published in the Photodiagnosis and Photodynamic Therapy journal by Li et al. Despite the high performance of the proposed approach for breast cancer detection by means of Raman spectroscopy analysis of serum, the proposed results may be ambiguous due to overestimation of classification models.
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Affiliation(s)
- Ivan A Bratchenko
- Laser and Biotechnical Systems Department, Samara National Research University, Moskovskoe shosse 34, Samara 443086, Russia.
| | - Lyudmila A Bratchenko
- Laser and Biotechnical Systems Department, Samara National Research University, Moskovskoe shosse 34, Samara 443086, Russia
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21
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Surface-enhanced Raman spectroscopy (SERS) for protein determination in human urine. SENSING AND BIO-SENSING RESEARCH 2022. [DOI: 10.1016/j.sbsr.2022.100535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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22
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Contributions of vibrational spectroscopy to virology: A review. CLINICAL SPECTROSCOPY 2022; 4:100022. [PMCID: PMC9093054 DOI: 10.1016/j.clispe.2022.100022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 04/30/2022] [Accepted: 05/04/2022] [Indexed: 06/17/2023]
Abstract
Vibrational spectroscopic techniques, both infrared absorption and Raman scattering, are high precision, label free analytical techniques which have found applications in fields as diverse as analytical chemistry, pharmacology, forensics and archeometrics and, in recent times, have attracted increasing attention for biomedical applications. As analytical techniques, they have been applied to the characterisation of viruses as early as the 1970 s, and, in the context of the coronavirus disease 2019 (COVID-19) pandemic, have been explored in response to the World Health Organisation as novel methodologies to aid in the global efforts to implement and improve rapid screening of viral infection. This review considers the history of the application of vibrational spectroscopic techniques to the characterisation of the morphology and chemical compositions of viruses, their attachment to, uptake by and replication in cells, and their potential for the detection of viruses in population screening, and in infection response monitoring applications. Particular consideration is devoted to recent efforts in the detection of severe acute respiratory syndrome coronavirus 2, and monitoring COVID-19.
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23
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Markin AV, Arzhanukhina AI, Markina NE, Goryacheva IY. Analytical performance of electrochemical surface-enhanced Raman spectroscopy: A critical review. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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24
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Li M, Jiang F, Xue L, Peng C, Shi Z, Zhang Z, Li J, Pan Y, Wang X, Feng C, Qiao D, Chen Z, Luo Q, Chen X. Recent Progress in Biosensors for Detection of Tumor Biomarkers. Molecules 2022; 27:7327. [PMID: 36364157 PMCID: PMC9658374 DOI: 10.3390/molecules27217327] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 07/31/2022] [Accepted: 08/05/2022] [Indexed: 10/07/2023] Open
Abstract
Cancer is a leading cause of death worldwide, with an increasing mortality rate over the past years. The early detection of cancer contributes to early diagnosis and subsequent treatment. How to detect early cancer has become one of the hot research directions of cancer. Tumor biomarkers, biochemical parameters for reflecting cancer occurrence and progression have caused much attention in cancer early detection. Due to high sensitivity, convenience and low cost, biosensors have been largely developed to detect tumor biomarkers. This review describes the application of various biosensors in detecting tumor markers. Firstly, several typical tumor makers, such as neuron-specific enolase (NSE), carcinoembryonic antigen (CEA), prostate-specific antigen (PSA), squamous cell carcinoma antigen (SCCA), carbohydrate, antigen19-9 (CA19-9) and tumor suppressor p53 (TP53), which may be helpful for early cancer detection in the clinic, are briefly described. Then, various biosensors, mainly focusing on electrochemical biosensors, optical biosensors, photoelectrochemical biosensors, piezoelectric biosensors and aptamer sensors, are discussed. Specifically, the operation principles of biosensors, nanomaterials used in biosensors and the application of biosensors in tumor marker detection have been comprehensively reviewed and provided. Lastly, the challenges and prospects for developing effective biosensors for early cancer diagnosis are discussed.
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Affiliation(s)
- Mantong Li
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Feng Jiang
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Liangyi Xue
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Cheng Peng
- Guangzhou Institute of Food Inspection, Guangzhou 510080, China
| | - Zhengzheng Shi
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Zheng Zhang
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Jia Li
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Yupeng Pan
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Xinya Wang
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Chunqiong Feng
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Dongfang Qiao
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Zhenzhong Chen
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Qizhi Luo
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Xuncai Chen
- Department of Forensic Toxicology, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
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Camerlingo C, Portaccio M, d’Apuzzo F, Nucci L, Perillo L, Lepore M. μ-FTIR, μ-Raman, and SERS Analysis of Amide I Spectral Region in Oral Biofluid Samples during Orthodontic Treatment. SENSORS (BASEL, SWITZERLAND) 2022; 22:7874. [PMID: 36298224 PMCID: PMC9609434 DOI: 10.3390/s22207874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 10/03/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
Gingival crevicular fluid (GCF) is a site-specific exudate deriving from the epithelium lining of the gingival sulcus. GCF analysis provides a simple and noninvasive diagnostic procedure to follow-up periodontal and bone remodeling in response to diseases or mechanical stimuli such as orthodontic tooth movement (OTM). In recent years, the use of vibrational spectroscopies such as Fourier Transform Infrared and Raman microspectroscopy and Surface-Enhanced Raman spectroscopy contributed to characterizing changes in GCF during fixed orthodontic treatment. Amide I band plays a relevant role in the analysis of these changes. The aim of this study was to investigate the spectroscopy response of Amide I depending on the OTM process duration. A model based on Gaussian-Lorentzian curves was used to analyze the infrared spectra, while only Lorentzian functions were used for Raman and SERS spectra. Changes induced by the OTM process in subcomponents of the Amide I band were determined and ascribed to secondary structure modification occurring in proteins. The vibrational spectroscopies allow us to efficiently monitor the effects of the orthodontic force application, thus gaining increasing attention as tools for individual patient personalization in clinical practice.
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Affiliation(s)
- Carlo Camerlingo
- CNR-SPIN, Consiglio Nazionale delle Ricerche, Istituto Superconduttori, Materiali Innovativi e Dispositivi, 80078 Pozzuoli, Italy
| | - Marianna Portaccio
- Dipartimento di Medicina Sperimentale, Università della Campania “L. Vanvitelli”, Via S. Maria di Costantinopoli 16, 80138 Napoli, Italy
| | - Fabrizia d’Apuzzo
- Dipartimento Multidisciplinare di Specialità Medico-Chirurgiche e Odontoiatriche, Università degli Studi della Campania Luigi Vanvitelli, 80138 Napoli, Italy
| | - Ludovica Nucci
- Dipartimento Multidisciplinare di Specialità Medico-Chirurgiche e Odontoiatriche, Università degli Studi della Campania Luigi Vanvitelli, 80138 Napoli, Italy
| | - Letizia Perillo
- Dipartimento Multidisciplinare di Specialità Medico-Chirurgiche e Odontoiatriche, Università degli Studi della Campania Luigi Vanvitelli, 80138 Napoli, Italy
| | - Maria Lepore
- Dipartimento di Medicina Sperimentale, Università della Campania “L. Vanvitelli”, Via S. Maria di Costantinopoli 16, 80138 Napoli, Italy
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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: 7] [Impact Index Per Article: 3.5] [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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Constantinou M, Hadjigeorgiou K, Abalde-Cela S, Andreou C. Label-Free Sensing with Metal Nanostructure-Based Surface-Enhanced Raman Spectroscopy for Cancer Diagnosis. ACS APPLIED NANO MATERIALS 2022; 5:12276-12299. [PMID: 36210923 PMCID: PMC9534173 DOI: 10.1021/acsanm.2c02392] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 07/27/2022] [Indexed: 05/03/2023]
Abstract
Surface-Enhanced Raman Spectroscopy (SERS) is a powerful analytical technique for the detection of small analytes with great potential for medical diagnostic applications. Its high sensitivity and excellent molecular specificity, which stems from the unique fingerprint of molecular species, have been applied toward the detection of different types of cancer. The noninvasive and rapid detection offered by SERS highlights its applicability for point-of-care (PoC) deployment for cancer diagnosis, screening, and staging, as well as for predicting tumor recurrence and treatment monitoring. This review provides an overview of the progress in label-free (direct) SERS-based chemical detection for cancer diagnosis with the main focus on the advances in the design and preparation of SERS substrates on the basis of metal nanoparticle structures formed via bottom-up strategies. It begins by introducing a synopsis of the working principles of SERS, including key chemometric approaches for spectroscopic data analysis. Then it introduces the advances of label-free sensing with SERS in cancer diagnosis using biofluids (blood, urine, saliva, sweat) and breath as the detection media. In the end, an outlook of the advances and challenges in cancer diagnosis via SERS is provided.
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Affiliation(s)
- Marios Constantinou
- Department
of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus
| | - Katerina Hadjigeorgiou
- Department
of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus
| | - Sara Abalde-Cela
- International
Iberian Nanotechnology Laboratory, Avenida Mestre José Veiga s/n, Braga 4715-330, Portugal
| | - Chrysafis Andreou
- Department
of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus
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28
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Lucas IT, Bazin D, Daudon M. Raman opportunities in the field of pathological calcifications. CR CHIM 2022. [DOI: 10.5802/crchim.110] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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29
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Gauffenic A, Bazin D, Combes C, Daudon M, Ea HK. Pathological calcifications in the human joint. CR CHIM 2022. [DOI: 10.5802/crchim.193] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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30
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Ali A, Nettey-Oppong EE, Effah E, Yu CY, Muhammad R, Soomro TA, Byun KM, Choi SH. Miniaturized Raman Instruments for SERS-Based Point-of-Care Testing on Respiratory Viruses. BIOSENSORS 2022; 12:bios12080590. [PMID: 36004986 PMCID: PMC9405795 DOI: 10.3390/bios12080590] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 07/24/2022] [Accepted: 07/26/2022] [Indexed: 06/12/2023]
Abstract
As surface-enhanced Raman scattering (SERS) has been used to diagnose several respiratory viruses (e.g., influenza A virus subtypes such as H1N1 and the new coronavirus SARS-CoV-2), SERS is gaining popularity as a method for diagnosing viruses at the point-of-care. Although the prior and quick diagnosis of respiratory viruses is critical in the outbreak of infectious disease, ELISA, PCR, and RT-PCR have been used to detect respiratory viruses for pandemic control that are limited for point-of-care testing. SERS provides quantitative data with high specificity and sensitivity in a real-time, label-free, and multiplex manner recognizing molecular fingerprints. Recently, the design of Raman spectroscopy system was simplified from a complicated design to a small and easily accessible form that enables point-of-care testing. We review the optical design (e.g., laser wavelength/power and detectors) of commercialized and customized handheld Raman instruments. As respiratory viruses have prominent risk on the pandemic, we review the applications of handheld Raman devices for detecting respiratory viruses. By instrumentation and commercialization advancements, the advent of the portable SERS device creates a fast, accurate, practical, and cost-effective analytical method for virus detection, and would continue to attract more attention in point-of-care testing.
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Affiliation(s)
- Ahmed Ali
- Department of Electrical Engineering, Sukkur IBA University, Sukkur 65200, Pakistan;
| | - Ezekiel Edward Nettey-Oppong
- Department of Biomedical Engineering, Yonsei University, Wonju 26493, Korea; (E.E.N.-O.); (E.E.); (C.Y.Y.); (R.M.)
| | - Elijah Effah
- Department of Biomedical Engineering, Yonsei University, Wonju 26493, Korea; (E.E.N.-O.); (E.E.); (C.Y.Y.); (R.M.)
| | - Chan Yeong Yu
- Department of Biomedical Engineering, Yonsei University, Wonju 26493, Korea; (E.E.N.-O.); (E.E.); (C.Y.Y.); (R.M.)
| | - Riaz Muhammad
- Department of Biomedical Engineering, Yonsei University, Wonju 26493, Korea; (E.E.N.-O.); (E.E.); (C.Y.Y.); (R.M.)
| | - Toufique Ahmed Soomro
- Department of Electronic Engineering, Quid-e-Awam University of Engineering, Science and Technology, Larkana 77150, Pakistan;
| | - Kyung Min Byun
- Department of Biomedical Engineering, Kyung Hee University, Yongin 17104, Korea
- Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin 17104, Korea
| | - Seung Ho Choi
- Department of Biomedical Engineering, Yonsei University, Wonju 26493, Korea; (E.E.N.-O.); (E.E.); (C.Y.Y.); (R.M.)
- Department of Integrative Medicine, Major in Digital Healthcare, Yonsei University College of Medicine, Seoul 06229, Korea
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Raman-based detection of ciprofloxacin and its degradation in pharmaceutical formulations. Talanta 2022; 250:123719. [DOI: 10.1016/j.talanta.2022.123719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 06/25/2022] [Accepted: 06/28/2022] [Indexed: 11/18/2022]
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Mariño-López A, Alvarez-Puebla RA, Vaz B, Correa-Duarte MA, Pérez-Lorenzo M. SERS optical accumulators as unified nanoplatforms for tear sampling and sensing in soft contact lenses. NANOSCALE 2022; 14:7991-7999. [PMID: 35467676 DOI: 10.1039/d2nr00531j] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Tear analysis has become an invaluable asset in clinical research in order to identify and quantify novel biomarkers for a wide array of conditions. The present work is intended to take this area of study one step further by implementing an innovative sensing platform through which exploration of low-molecular-weight compounds is conducted outperforming traditional analytical technologies. With this aim, carefully engineered plasmonic nanoassemblies have been synergistically combined with molecular-sieving materials giving rise to size-selective samplers with SERS detection capabilities. These architectures have been then integrated onto hydrogel-based contact lenses and tested in simulated tear fluids in order to evidence their operational features. Through this approach, a prolonged analyte accumulation can be realized, thus providing a competitive advantage in those scenarios where concentration of biomarkers is typically low or minimum sample volumes are not met. Additionally, quenching of metabolic flux and analyte extraction protocols can be circumvented, hence preventing the intrinsic physical and chemical interferences stemming from these procedures. The obtained results render these sensing platforms as promising medical devices, and constitute a great opportunity in order to expand the clinical toolkit in tear analysis.
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Affiliation(s)
- Andrea Mariño-López
- CINBIO, Universidade de Vigo, Department of Physical Chemistry, 36310 Vigo, Spain.
- Galicia Sur Health Research Institute, 36310 Vigo, Spain
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 36310 Vigo, Spain
| | - Ramon A Alvarez-Puebla
- Department of Physical Chemistry, Universitat Rovira i Virgili, Tarragona, 43007, Spain
- ICREA, Passeig de Lluís Companys 23, Barcelona, 08010, Spain
| | - Belén Vaz
- Galicia Sur Health Research Institute, 36310 Vigo, Spain
- CINBIO, Universidade de Vigo, Department of Organic Chemistry, 36310 Vigo, Spain.
| | - Miguel A Correa-Duarte
- CINBIO, Universidade de Vigo, Department of Physical Chemistry, 36310 Vigo, Spain.
- Galicia Sur Health Research Institute, 36310 Vigo, Spain
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 36310 Vigo, Spain
| | - Moisés Pérez-Lorenzo
- CINBIO, Universidade de Vigo, Department of Physical Chemistry, 36310 Vigo, Spain.
- Galicia Sur Health Research Institute, 36310 Vigo, Spain
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 36310 Vigo, Spain
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Szymoński K, Milian-Ciesielska K, Lipiec E, Adamek D. Current Pathology Model of Pancreatic Cancer. Cancers (Basel) 2022; 14:2321. [PMID: 35565450 PMCID: PMC9105915 DOI: 10.3390/cancers14092321] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 04/29/2022] [Accepted: 05/05/2022] [Indexed: 02/01/2023] Open
Abstract
Pancreatic cancer (PC) is one of the most aggressive and lethal malignant neoplasms, ranking in seventh place in the world in terms of the incidence of death, with overall 5-year survival rates still below 10%. The knowledge about PC pathomechanisms is rapidly expanding. Daily reports reveal new aspects of tumor biology, including its molecular and morphological heterogeneity, explain complicated "cross-talk" that happens between the cancer cells and tumor stroma, or the nature of the PC-associated neural remodeling (PANR). Staying up-to-date is hard and crucial at the same time. In this review, we are focusing on a comprehensive summary of PC aspects that are important in pathologic reporting, impact patients' outcomes, and bring meaningful information for clinicians. Finally, we show promising new trends in diagnostic technologies that might bring a difference in PC early diagnosis.
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Affiliation(s)
- Krzysztof Szymoński
- Department of Pathomorphology, Jagiellonian University Medical College, 31-531 Cracow, Poland;
- Department of Pathomorphology, University Hospital, 30-688 Cracow, Poland;
| | | | - Ewelina Lipiec
- M. Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Cracow, Poland;
| | - Dariusz Adamek
- Department of Pathomorphology, Jagiellonian University Medical College, 31-531 Cracow, Poland;
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Zhu C, Liu W, Wang D, Gong Z, Fan M. Boosting bacteria differentiation efficiency with multidimensional surface-enhanced Raman scattering: the example of Bacillus cereus. LUMINESCENCE 2022; 37:1145-1151. [PMID: 35481694 DOI: 10.1002/bio.4268] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 04/22/2022] [Accepted: 04/25/2022] [Indexed: 12/15/2022]
Abstract
Surface-enhanced Raman scattering (SERS) is a powerful tool for constructing biomolecular fingerprints, which play a vital role in differentiation of bacteria. Due to the rather subtle differences in the SERS spectra among different bacteria, artificial intelligence is usually adopted and enormous amounts of spectral data are required to improve the differentiation efficiency. However, in many cases, large volume data acquisition on bacteria is not only technical difficult but labour intensive. It is known that surface modification of SERS nanomaterials can bring additional dimensionality (difference) of the SERS fingerprints. Here in this work, we show that the concept could be used to improve the bacteria differentiation efficiency. Ag NPs were modified with 11-mercaptoundecanoic acid, 11-mercapto-1-undecanol, and 1-dodecanethiol to provide additional dimensionality. The modified NPs then were mixed with cell lysate from different strains of Bacillus cereus (B. cereus). Even by applying a simple PCA process to the resulting SERS spectra data, all the three modified Ag NPs showed superior differentiation results compared with bare Ag NPs, which could only separate Staphylococcus aureus (S. aureus) and B. cereus. It is believed that the multidimensional SERS could find great potential in bacteria differentiation.
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Affiliation(s)
- Chengye Zhu
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China
| | - Wen Liu
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China
| | - Dongmei Wang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China
| | - Zhengjun Gong
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China
| | - Meikun Fan
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China
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35
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Cameron JM, Rinaldi C, Rutherford SH, Sala A, G Theakstone A, Baker MJ. Clinical Spectroscopy: Lost in Translation? APPLIED SPECTROSCOPY 2022; 76:393-415. [PMID: 34041957 DOI: 10.1177/00037028211021846] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
This Focal Point Review paper discusses the developments of biomedical Raman and infrared spectroscopy, and the recent strive towards these technologies being regarded as reliable clinical tools. The promise of vibrational spectroscopy in the field of biomedical science, alongside the development of computational methods for spectral analysis, has driven a plethora of proof-of-concept studies which convey the potential of various spectroscopic approaches. Here we report a brief review of the literature published over the past few decades, with a focus on the current technical, clinical, and economic barriers to translation, namely the limitations of many of the early studies, and the lack of understanding of clinical pathways, health technology assessments, regulatory approval, clinical feasibility, and funding applications. The field of biomedical vibrational spectroscopy must acknowledge and overcome these hurdles in order to achieve clinical efficacy. Current prospects have been overviewed with comment on the advised future direction of spectroscopic technologies, with the aspiration that many of these innovative approaches can ultimately reach the frontier of medical diagnostics and many clinical applications.
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Affiliation(s)
| | - Christopher Rinaldi
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, Glasgow, UK
| | - Samantha H Rutherford
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, Glasgow, UK
| | - Alexandra Sala
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, Glasgow, UK
| | - Ashton G Theakstone
- WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, Glasgow, UK
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Moisoiu T, Dragomir MP, Iancu SD, Schallenberg S, Birolo G, Ferrero G, Burghelea D, Stefancu A, Cozan RG, Licarete E, Allione A, Matullo G, Iacob G, Bálint Z, Badea RI, Naccarati A, Horst D, Pardini B, Leopold N, Elec F. Combined miRNA and SERS urine liquid biopsy for the point-of-care diagnosis and molecular stratification of bladder cancer. Mol Med 2022; 28:39. [PMID: 35365098 PMCID: PMC8973824 DOI: 10.1186/s10020-022-00462-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 03/07/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Bladder cancer (BC) has the highest per-patient cost of all cancer types. Hence, we aim to develop a non-invasive, point-of-care tool for the diagnostic and molecular stratification of patients with BC based on combined microRNAs (miRNAs) and surface-enhanced Raman spectroscopy (SERS) profiling of urine. METHODS Next-generation sequencing of the whole miRNome and SERS profiling were performed on urine samples collected from 15 patients with BC and 16 control subjects (CTRLs). A retrospective cohort (BC = 66 and CTRL = 50) and RT-qPCR were used to confirm the selected differently expressed miRNAs. Diagnostic accuracy was assessed using machine learning algorithms (logistic regression, naïve Bayes, and random forest), which were trained to discriminate between BC and CTRL, using as input either miRNAs, SERS, or both. The molecular stratification of BC based on miRNA and SERS profiling was performed to discriminate between high-grade and low-grade tumors and between luminal and basal types. RESULTS Combining SERS data with three differentially expressed miRNAs (miR-34a-5p, miR-205-3p, miR-210-3p) yielded an Area Under the Curve (AUC) of 0.92 ± 0.06 in discriminating between BC and CTRL, an accuracy which was superior either to miRNAs (AUC = 0.84 ± 0.03) or SERS data (AUC = 0.84 ± 0.05) individually. When evaluating the classification accuracy for luminal and basal BC, the combination of miRNAs and SERS profiling averaged an AUC of 0.95 ± 0.03 across the three machine learning algorithms, again better than miRNA (AUC = 0.89 ± 0.04) or SERS (AUC = 0.92 ± 0.05) individually, although SERS alone performed better in terms of classification accuracy. CONCLUSION miRNA profiling synergizes with SERS profiling for point-of-care diagnostic and molecular stratification of BC. By combining the two liquid biopsy methods, a clinically relevant tool that can aid BC patients is envisaged.
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Affiliation(s)
- Tudor Moisoiu
- Clinical Institute of Urology and Renal Transplantation, 400006, Cluj-Napoca, Romania.,Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania.,Biomed Data Analytics SRL, 400696, Cluj-Napoca, Romania
| | - Mihnea P Dragomir
- Institute of Pathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin and Berlin Institute of Health, 10117, Berlin, Germany. .,German Cancer Consortium (DKTK), Partner Site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Stefania D Iancu
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Simon Schallenberg
- Institute of Pathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin and Berlin Institute of Health, 10117, Berlin, Germany
| | - Giovanni Birolo
- Department of Medical Sciences, University of Turin, 10126, Turin, Italy
| | - Giulio Ferrero
- Department of Clinical and Biological Sciences, University of Turin, Regione Gonzole, 10, 10043, Orbassano, Italy
| | - Dan Burghelea
- Clinical Institute of Urology and Renal Transplantation, 400006, Cluj-Napoca, Romania.,Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania
| | - Andrei Stefancu
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Ramona G Cozan
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Emilia Licarete
- Faculty of Biology, Babeș-Bolyai University, 400015, Cluj-Napoca, Romania
| | - Alessandra Allione
- Department of Medical Sciences, University of Turin, 10126, Turin, Italy
| | - Giuseppe Matullo
- Department of Medical Sciences, University of Turin, 10126, Turin, Italy
| | - Gheorghita Iacob
- Clinical Institute of Urology and Renal Transplantation, 400006, Cluj-Napoca, Romania
| | - Zoltán Bálint
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Radu I Badea
- Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania.,Octavian Fodor Regional Institute of Gastroenterology and Hepatology, 400162, Cluj-Napoca, Romania
| | - Alessio Naccarati
- Candiolo Cancer Institute-FPO IRCCS, 10060, Candiolo, Turin, Italy.,Italian Institute for Genomic Medicine (IIGM), IRCCS Candiolo, 10060, Candiolo, Turin, Italy
| | - David Horst
- Institute of Pathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin and Berlin Institute of Health, 10117, Berlin, Germany.,German Cancer Consortium (DKTK), Partner Site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Barbara Pardini
- Candiolo Cancer Institute-FPO IRCCS, 10060, Candiolo, Turin, Italy. .,Italian Institute for Genomic Medicine (IIGM), IRCCS Candiolo, 10060, Candiolo, Turin, Italy.
| | - Nicolae Leopold
- Biomed Data Analytics SRL, 400696, Cluj-Napoca, Romania. .,Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania.
| | - Florin Elec
- Clinical Institute of Urology and Renal Transplantation, 400006, Cluj-Napoca, Romania. .,Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania.
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37
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Zacharovas E, Velička M, Platkevičius G, Čekauskas A, Želvys A, Niaura G, Šablinskas V. Toward a SERS Diagnostic Tool for Discrimination between Cancerous and Normal Bladder Tissues via Analysis of the Extracellular Fluid. ACS OMEGA 2022; 7:10539-10549. [PMID: 35382275 PMCID: PMC8973049 DOI: 10.1021/acsomega.2c00058] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 03/03/2022] [Indexed: 05/09/2023]
Abstract
Vibrational spectroscopy provides the possibility for sensitive and precise detection of chemical changes in biomolecules due to development of cancers. In this work, label-free near-infrared surface enhanced Raman spectroscopy (SERS) was applied for the differentiation between cancerous and normal human bladder tissues via analysis of the extracellular fluid of the tissue. Specific cancer-related SERS marker bands were identified by using a 1064 nm excitation wavelength. The prominent spectral marker band was found to be located near 1052 cm-1 and was assigned to the C-C, C-O, and C-N stretching vibrations of lactic acid and/or cysteine molecules. The correct identification of 80% of samples is achieved with even limited data set and could be further improved. The further development of such a detection method could be implemented in clinical practice for the aid of surgeons in determining of boundaries of malignant tumors during the surgery.
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Affiliation(s)
- Edvinas Zacharovas
- Institute
of Chemical Physics, Faculty of Physics, Vilnius University, Saulėtekis Avenue 3, LT-10257 Vilnius, Lithuania
| | - Martynas Velička
- Institute
of Chemical Physics, Faculty of Physics, Vilnius University, Saulėtekis Avenue 3, LT-10257 Vilnius, Lithuania
| | - Gediminas Platkevičius
- Clinic
of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical
Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio st. 21/27, LT-03101 Vilnius, Lithuania
| | - Albertas Čekauskas
- Clinic
of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical
Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio st. 21/27, LT-03101 Vilnius, Lithuania
| | - Aru̅nas Želvys
- Clinic
of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical
Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio st. 21/27, LT-03101 Vilnius, Lithuania
| | - Gediminas Niaura
- Institute
of Chemical Physics, Faculty of Physics, Vilnius University, Saulėtekis Avenue 3, LT-10257 Vilnius, Lithuania
- Department
of Organic Chemistry, Center for Physical
Sciences and Technology (FTMC), Saulėtekis Avenue 3, LT 10257, Vilnius, Lithuania
| | - Valdas Šablinskas
- Institute
of Chemical Physics, Faculty of Physics, Vilnius University, Saulėtekis Avenue 3, LT-10257 Vilnius, Lithuania
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38
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Fornasaro S, Esposito A, Florian F, Pallavicini A, De Leo L, Not T, Lagatolla C, Mezzarobba M, Di Silvestre A, Sergo V, Bonifacio A. Spectroscopic investigation of faeces with surface-enhanced Raman scattering: a case study with coeliac patients on gluten-free diet. Anal Bioanal Chem 2022; 414:3517-3527. [PMID: 35258650 PMCID: PMC9018641 DOI: 10.1007/s00216-022-03975-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 02/07/2022] [Accepted: 02/10/2022] [Indexed: 11/06/2022]
Abstract
Surface-enhanced Raman scattering (SERS) spectra of faecal samples can be obtained by adding AuNP to their methanol extracts according to the reported protocol, and display bands that are due to bilirubin-like species but also to xanthine and hypoxanthine, two metabolic products secreted by gut bacteria. A total of 27 faecal samples from three different groups, i.e. coeliac patients (n = 9), coeliac patients on gluten-free diet (n = 10) and a control group (n = 8), were characterized with both SERS spectroscopy and 16S rRNA sequencing analysis. Significant differences are present between SERS spectra of coeliac patients and those on gluten-free diet, with a marked increase in the relative intensity of both xanthine and hypoxanthine for the latter. Interestingly, these differences do not correlate with bacterial composition as derived from 16S rRNA sequencing.
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Affiliation(s)
- Stefano Fornasaro
- Raman Spectroscopy Laboratory, Department of Engineering and Architecture, University of Trieste, P.le Europa 1, 34100, Trieste, Italy
| | - Alessandro Esposito
- Raman Spectroscopy Laboratory, Department of Engineering and Architecture, University of Trieste, P.le Europa 1, 34100, Trieste, Italy
| | - Fiorella Florian
- Department of Life Sciences, University of Trieste, Via Edoardo Weiss 2, 34128, Trieste, TS, Italy
| | - Alberto Pallavicini
- Department of Life Sciences, University of Trieste, Via Edoardo Weiss 2, 34128, Trieste, TS, Italy
| | - Luigina De Leo
- Institute for Maternal Child Health-IRCCS "Burlo Garofolo" Trieste, via dell'Istria 65/1, 34100, Trieste, Italy
| | - Tarcisio Not
- Institute for Maternal Child Health-IRCCS "Burlo Garofolo" Trieste, via dell'Istria 65/1, 34100, Trieste, Italy
| | - Cristina Lagatolla
- Department of Life Sciences, University of Trieste, Via Edoardo Weiss 2, 34128, Trieste, TS, Italy
| | - Marica Mezzarobba
- Department of Life Sciences, University of Trieste, Via Edoardo Weiss 2, 34128, Trieste, TS, Italy
| | - Alessia Di Silvestre
- Raman Spectroscopy Laboratory, Department of Engineering and Architecture, University of Trieste, P.le Europa 1, 34100, Trieste, Italy
| | - Valter Sergo
- Raman Spectroscopy Laboratory, Department of Engineering and Architecture, University of Trieste, P.le Europa 1, 34100, Trieste, Italy
| | - Alois Bonifacio
- Raman Spectroscopy Laboratory, Department of Engineering and Architecture, University of Trieste, P.le Europa 1, 34100, Trieste, Italy.
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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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40
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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: 2] [Impact Index Per Article: 1.0] [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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41
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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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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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43
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Liu Z, Zhang P, Wang H, Zheng B, Sun L, Zhang D, Fan J. Raman Spectrum-Based Diagnosis Strategy for Bladder Tumor. Urol Int 2021; 106:109-115. [PMID: 34515249 DOI: 10.1159/000518877] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 06/21/2021] [Indexed: 11/19/2022]
Abstract
Raman spectroscopy is an optical technique that can potentially serve as a molecular diagnosis method. This approach is excellent in many aspects for diagnosing bladder tumors, and over the last 20 years, there has been a rapid increase in the number of related studies. However, no review article has covered the wide use of Raman spectroscopy in bladder tumors. A total of 26 original studies have suggested that Raman spectroscopy shows good performance in diagnosing bladder tumors from 4 aspects, including tissue sections, endoscopic methods, cell screening, and biomarkers. However, Raman spectroscopy needs to be modified by combining it with other techniques, and studies based on a large population are still urgently needed to expand its clinical value.
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Affiliation(s)
- Zhenghong Liu
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China, .,Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China,
| | - Pu Zhang
- Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Heng Wang
- Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Bin Zheng
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.,Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Li Sun
- Hangzhou Medical College, Hangzhou, China
| | - Dahong Zhang
- Department of Urology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Jinhai Fan
- Department of Urology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, China
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44
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Moisoiu V, Iancu SD, Stefancu A, Moisoiu T, Pardini B, Dragomir MP, Crisan N, Avram L, Crisan D, Andras I, Fodor D, Leopold LF, Socaciu C, Bálint Z, Tomuleasa C, Elec F, Leopold N. SERS liquid biopsy: An emerging tool for medical diagnosis. Colloids Surf B Biointerfaces 2021; 208:112064. [PMID: 34517219 DOI: 10.1016/j.colsurfb.2021.112064] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/09/2021] [Accepted: 08/20/2021] [Indexed: 02/02/2023]
Abstract
Surface-enhanced Raman scattering (SERS) is emerging as a novel strategy for biofluid analysis. In this review, we delineate four experimental SERS protocols that are frequently used for the profiling of biofluids: 1) liquid SERS for the detection of purine metabolites; 2) iodide-modified liquid SERS for the detection of proteins; 3) dried SERS for the detection of both purine metabolites and proteins; 4) resonant Raman for the detection of carotenoids. To explain the selectivity of each experimental SERS protocol, we introduce a heuristic model for the chemisorption of analytes mediated by adsorbed ions (adions) onto the SERS substrate. Next, we show that the promising results of SERS liquid biopsy stem from the fact that the concentration levels of purine metabolites, proteins and carotenoids are informative of the cellular turnover rate, inflammation, and oxidative stress, respectively. These processes are perturbed in virtually every disease, from cancer to autoimmune maladies. Finally, we review recent SERS liquid biopsy studies and discuss future steps that are required for translating SERS in the clinical setting.
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Affiliation(s)
- Vlad Moisoiu
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Stefania D Iancu
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Andrei Stefancu
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Tudor Moisoiu
- Clinical Institute of Urology and Renal Transplant, 400006, Cluj-Napoca, Romania; Biomed Data Analytics SRL, 400696, Cluj-Napoca, Romania; Department of Urology, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania
| | - Barbara Pardini
- Candiolo Cancer Institute, FPO-IRCCS, 10060, Candiolo, Italy; Italian Institute of Genomic Medicine (IIGM), 10060, Candiolo, Italy
| | - Mihnea P Dragomir
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Nicolae Crisan
- Department of Urology, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania; Clinical Municipal Hospital, 400139, Cluj-Napoca, Romania
| | - Lucretia Avram
- Clinical Municipal Hospital, 400139, Cluj-Napoca, Romania; Department of Geriatrics, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania
| | - Dana Crisan
- Clinical Municipal Hospital, 400139, Cluj-Napoca, Romania; 5th Internal Medicine Department, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania
| | - Iulia Andras
- Department of Urology, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania; Clinical Municipal Hospital, 400139, Cluj-Napoca, Romania
| | - Daniela Fodor
- 2nd Internal Medicine Department, Iuliu Hatieganu University of Medicine and Pharmacy, 400006, Cluj-Napoca, Romania
| | - Loredana F Leopold
- Faculty of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine, 400372, Cluj-Napoca, Romania
| | - Carmen Socaciu
- Faculty of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine, 400372, Cluj-Napoca, Romania; BIODIATECH Research Centre for Applied Biotechnology, SC Proplanta, 400478, Cluj-Napoca, Romania
| | - Zoltán Bálint
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Ciprian Tomuleasa
- Department of Hematology, Iuliu Hatieganu University of Medicine and Pharmacy, 400124, Cluj-Napoca, Romania; Department of Hematology, Ion Chiricuta Clinical Cancer Center, 400124, Cluj-Napoca, Romania; Medfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400349, Cluj-Napoca, Romania
| | - Florin Elec
- Clinical Institute of Urology and Renal Transplant, 400006, Cluj-Napoca, Romania; Department of Urology, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania.
| | - Nicolae Leopold
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania; Biomed Data Analytics SRL, 400696, Cluj-Napoca, Romania.
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Chauhan V, Leblanc J, Sadi B, Burtt J, Sauvé K, Lane R, Randhawa K, Wilkins R, Quayle D. COHERE - strengthening cooperation within the Canadian government on radiation research. Int J Radiat Biol 2021; 97:1153-1165. [PMID: 34133252 DOI: 10.1080/09553002.2021.1941379] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/16/2021] [Accepted: 06/03/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE Canadian Organization on Health Effects from Radiation Exposure (COHERE) is a government initiative to better understand biological and human health risks from ionizing radiation exposures relevant to occupational and environmental settings (<100 mGy, <6 mGy/h). It is currently a partnership between two federal agencies, Health Canada (HC) and the Canadian Nuclear Safety Commission (CNSC). COHERE's vision is to contribute knowledge to reduce scientific uncertainties from low dose and dose-rate exposures. COHERE will advance our understanding by bridging the knowledge gap between human health risks and linkages to molecular- and cellular-level responses to radiation. Research focuses on identifying sensitive, early, and key molecular events of relevance to risk assessment. CONCLUSIONS The initiative will address questions of relevance to better apprize Canadians, including radiation workers and members of the public and Indigenous peoples, on health risks from low dose radiation exposure and inform radiation protection frameworks at a national and international level. Furthermore, it will support global efforts to conduct collaborative undertakings and better coordinate research. Here, we describe a historical overview of the research conducted, the strategic research agenda that outlines the scientific framework, stakeholders, opportunities to harmonize internationally, and how research outcomes will better inform communication of risk to Canadians.
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Affiliation(s)
- Vinita Chauhan
- Radiation Protection Bureau, Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, Canada
| | - Julie Leblanc
- Directorate of Environmental and Radiation Protection and Assessment, Canadian Nuclear Safety Commission, Ottawa, Canada
| | - Baki Sadi
- Radiation Protection Bureau, Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, Canada
| | - Julie Burtt
- Directorate of Environmental and Radiation Protection and Assessment, Canadian Nuclear Safety Commission, Ottawa, Canada
| | - Kiza Sauvé
- Directorate of Environmental and Radiation Protection and Assessment, Canadian Nuclear Safety Commission, Ottawa, Canada
| | - Rachel Lane
- Directorate of Environmental and Radiation Protection and Assessment, Canadian Nuclear Safety Commission, Ottawa, Canada
| | - Kristi Randhawa
- Directorate of Environmental and Radiation Protection and Assessment, Canadian Nuclear Safety Commission, Ottawa, Canada
| | - Ruth Wilkins
- Radiation Protection Bureau, Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, Canada
| | - Debora Quayle
- Radiation Protection Bureau, Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, Canada
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Gualerzi A, Picciolini S, Carlomagno C, Rodà F, Bedoni M. Biophotonics for diagnostic detection of extracellular vesicles. Adv Drug Deliv Rev 2021; 174:229-249. [PMID: 33887403 DOI: 10.1016/j.addr.2021.04.014] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 03/26/2021] [Accepted: 04/15/2021] [Indexed: 02/06/2023]
Abstract
Extracellular Vesicles (EVs) are versatile carriers for biomarkers involved in the pathogenesis of multiple human disorders. Despite the increasing scientific and commercial interest in EV application in diagnostics, traditional biomolecular techniques usually require consistent sample amount, rely on operator-dependent and time- consuming procedures and cannot cope with the nano-size range of EVs, limiting both sensitivity and reproducibility of results. The application of biophotonics, i.e. light-based methods, for the diagnostic detection of EVs has brought to the development of innovative platforms with excellent sensitivity. In this review, we propose an overview of the most promising and emerging technologies used in the field of EV-related biomarker discovery. When tested on clinical samples, the reported biophotonic approaches in most cases have managed to discriminate between nanovesicles and contaminants, achieved much higher resolution compared to traditional procedures, and reached moderate to excellent diagnostic accuracy, thus demonstrating great potentialities for their clinical translation.
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Lukose J, M. SP, N. M, Barik AK, Pai KM, Unnikrishnan VK, George SD, Kartha VB, Chidangil S. Photonics of human saliva: potential optical methods for the screening of abnormal health conditions and infections. Biophys Rev 2021; 13:359-385. [PMID: 34093888 PMCID: PMC8170462 DOI: 10.1007/s12551-021-00807-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 05/07/2021] [Indexed: 12/12/2022] Open
Abstract
Human saliva can be treated as a pool of biological markers able to reflect on the state of personal health. Recent years have witnessed an increase in the use of optical devices for the analysis of body fluids. Several groups have carried out studies investigating the potential of saliva as a non-invasive and reliable clinical specimen for use in medical diagnostics. This brief review aims to highlight the optical technologies, mainly surface plasmon resonance (SPR), Raman, and Fourier transform infrared (FTIR) spectroscopy, which are being used for the probing of saliva for diverse biomedical applications. Advances in bio photonics offer the promise of unambiguous, objective and fast detection of abnormal health conditions and viral infections (such as COVID-19) from the analysis of saliva.
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Affiliation(s)
- Jijo Lukose
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Sanoop Pavithran M.
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Mithun N.
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Ajaya Kumar Barik
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Keerthilatha M. Pai
- Department of Oral Medicine and Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - V. K. Unnikrishnan
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Sajan D. George
- Centre for Applied Nanoscience, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - V. B. Kartha
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Santhosh Chidangil
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
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Establishment of a reliable scheme for obtaining highly stable SERS signal of biological serum. Biosens Bioelectron 2021; 189:113315. [PMID: 34049082 DOI: 10.1016/j.bios.2021.113315] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 03/27/2021] [Accepted: 05/05/2021] [Indexed: 12/20/2022]
Abstract
As a rapid and non-destructive biological serum detection method, SERS technology was widely used in the screening and medical diagnosis of various diseases by combining the analysis of serum SERS spectrum and multivariate statistical algorithm. Because of the high complexity of serum components and the variability of SERS spectra, which often resulted in the phenomenon that the SERS spectrum of the same biological serum was significantly different due to the different test conditions. In this experiment, through the dilution treatment of the serum and the systematic test of the serum of all concentration gradients with lasers of wavelength of 785, 633 and 532 nm, the most suitable conditions for detecting the serum were investigated. The experimental results showed that only when the serum is diluted to low concentration (10 ppm), the SERS spectrum with high reproducibility and stability could be obtained, furthermore, the low concentration serum had weak tolerance to laser, and 532 nm laser was not suitable for serum detection. In this paper, a set of test scheme for obtaining highly stable serum SERS spectra was established by using high-performance gold nanoparticles (Au NPs) as the active substrate of SERS. Through comparative analysis of SERS spectrum of serum of normal people and cervical cancer, the reliability of the established low-concentration serum test program was verified, as well as its great potential advantages in disease screening and diagnosis.
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49
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Hole A, Tyagi G, Deshmukh A, Deshpande R, Gota V, Chaturvedi P, Krishna CM. Salivary Raman Spectroscopy: Standardization of Sampling Protocols and Stratification of Healthy and Oral Cancer Subjects. APPLIED SPECTROSCOPY 2021; 75:581-588. [PMID: 33107759 DOI: 10.1177/0003702820973260] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Minimally invasive cancer detection using bio-fluids has been actively pursued due to practical limitations, though there are better suited noninvasive and online in vivo methods. Saliva is one such clinically informative bio-fluid that offers the advantages of easy and multiple sample collection. Despite its potential in cancer diagnostics, saliva analysis is challenging due to its heterogeneous composition. Recently, there has been an upsurge in saliva exploration using optical techniques. Forms of saliva such as precipitate and supernatant have been monitored, but this sampling method needs to be standardized due to the obvious loss of analytes in processing. In that context, present work details the comparison of four different saliva sampling methodologies, i.e., air-dried, lyophilized, pellet, and supernatant using Raman spectroscopy collected from 10 healthy samples. Composition-driven spectral features of all forms were compared and classified using principal component analysis and linear discriminant analysis. Analysis was carried out on all four groups in the first step. In the second step, groups of pellet and supernatant , and air-dried and lyophilized were analyzed. Findings suggest that pellet and supernatant exhibit discrete spectroscopic features and demonstrate high classification efficiency, which is indicative of their distinctive biochemical composition. On the other hand, air-dried and lyophilized forms showed overlapping spectral features and low classification, suggesting these forms retain majority spectroscopic features of whole saliva and are less prone to sampling losses. Thus, this study indicates air-dried and lyophilized forms may be more appropriate for saliva sampling using Raman spectroscopy providing the comprehensive information required for cancer diagnosis. Furthermore, the method was also tested for the classification of oral cancer and healthy subjects (n = 27) which yielded 90% stratification. The findings of the study indicate the utility of minimally invasive salivary Raman-based diagnostics in oral cancers.
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Affiliation(s)
- Arti Hole
- Chilakapati Laboratory, 29435Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India
| | - Gunjan Tyagi
- Chilakapati Laboratory, 29435Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India
| | - Atul Deshmukh
- Centre for Interdisciplinary Research, D.Y. Patil University, Navi Mumbai, India
| | - Raviraj Deshpande
- Clinical Pharmacology Laboratory, 29435Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India
| | - Vikram Gota
- Clinical Pharmacology Laboratory, 29435Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India
- Homi Bhabha National Institute, Training School Complex, Nagar Mumbai, India
| | - Pankaj Chaturvedi
- Homi Bhabha National Institute, Training School Complex, Nagar Mumbai, India
- Department of Surgical Oncology, Tata Memorial Hospital, Mumbai, India
| | - C Murali Krishna
- Chilakapati Laboratory, 29435Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India
- Homi Bhabha National Institute, Training School Complex, Nagar Mumbai, India
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50
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Nargis HF, Nawaz H, Bhatti HN, Jilani K, Saleem M. Comparison of surface enhanced Raman spectroscopy and Raman spectroscopy for the detection of breast cancer based on serum samples. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 246:119034. [PMID: 33049470 DOI: 10.1016/j.saa.2020.119034] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 09/25/2020] [Accepted: 09/27/2020] [Indexed: 05/20/2023]
Abstract
In this study, surface enhanced Raman spectroscopy (SERS) and Raman spectroscopy (RS), are employed for the classification of different stages of breast cancer using clinically diagnosed serum samples from breast cancer patients and healthy individuals. These serum samples are compared for their spectral features acquired by SERS and RS to establish spectral features that can be considered as spectral markers of breast cancer diagnosis and classification. SERS features related to DNA, proteins and lipids were observed which are solely observed in the serum samples of patients at different stages of breast cancer as compared to healthy samples. In order to explore the capability of SERS and RS and their comparison as an analytical tool for the efficient understanding of the progression of breast cancer, Principal Component Analysis (PCA) is done for the SERS and RS spectra of control, stage 2, stage 3 and stage 4. Furthermore, the Partial Least Squares-Discriminant Analysis (PLS-DA) was performed to compare the diagnostic performance of SERS and Raman spectroscopy for the classification of disease positive samples and healthy ones. The sensitivity and specificity and area under receiver operating characteristic (AUROC) curve values for SERS data were 90%, 98.4%, and 94% respectively which were higher as compared to Raman spectral data for which these values were found to be 88.2%, 97.7%, and 83.4% respectively.
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Affiliation(s)
- H F Nargis
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - H Nawaz
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan.
| | - H N Bhatti
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - K Jilani
- Department of Biochemistry, University of Agriculture, Faisalabad, Pakistan
| | - M Saleem
- National Institute of Lasers and Optronics (NILOP), Islamabad, Pakistan
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