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He S, Chen Y, Wang J, Sun J, Zhang X, Chen Q. Rapid and Sensitive Quantification of Bacterial Viability Using Ratiometric Fluorescence Sensing. Anal Chem 2024; 96:11018-11025. [PMID: 38934709 DOI: 10.1021/acs.analchem.4c01737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2024]
Abstract
Bacterial viability assessment plays an important role in food-borne pathogen detection and antimicrobial drug development. Here, we first used GelRed as a DNA-binding stain for a bacterial viability assessment. It was found that live bacteria were able to exclude GelRed, which however could easily penetrate dead ones and be absorbed nonspecifically on the bacterial periplasm. Cations were used to reduce the nonspecific adsorption and greatly increase the red fluorescence ratio of dead to live bacteria. Combined with SYTO 9 (a membrane-permeable dye) for double-staining, a ratiometric fluorescent method was established. Using Escherichia coli O157:H7 as a bacteria model, the ratiometric fluorescent method can probe dead bacteria as low as 0.1%. A linear correlation between the ratiometric fluorescence and the theoretical ratio of dead bacteria was acquired, with a correlation coefficient R2 of 0.97. Advantages in sensitivity, accuracy, and safety of the GelRed/SYTO9-based ratiometric fluorescent method against traditional methods were demonstrated. The established method was successfully applied to the assessment of germicidal efficacy of different heat treatments. It was found that even 50 °C treatment could lead to the death of minor bacteria. The as-developed method has many potential applications in microbial researches, and we believe it could be expanded to the viability assessment of mammalian cells.
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Affiliation(s)
- Shengbin He
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, P. R. China
| | - Yajing Chen
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, P. R. China
| | - Jingtong Wang
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, P. R. China
| | - Jian Sun
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, P. R. China
| | - Xinyi Zhang
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, P. R. China
| | - Quanzhi Chen
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, P. R. China
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2
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An Y, Wang Z, Wu FG. Fluorescent carbon dots for discriminating cell types: a review. Anal Bioanal Chem 2024; 416:3945-3962. [PMID: 38886239 DOI: 10.1007/s00216-024-05328-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/26/2024] [Accepted: 05/06/2024] [Indexed: 06/20/2024]
Abstract
Carbon dots (CDs) are quasi-spherical carbon nanoparticles with excellent photoluminescence, good biocompatibility, favorable photostability, and easily modifiable surfaces. CDs, serving as fluorescent probes, have emerged as an ideal tool for cellular differentiation owing to their outstanding luminescence performance and tunable surface properties. In this review, we summarize the recent research progress with CDs in the differentiation of cancer/normal cells, Gram-positive/Gram-negative bacteria, and live/dead cells, as well as the cellular differences used for differentiation. Additionally, we summarize the preparation methods, raw materials, and properties of the CDs used for cell discrimination. The differentiation mechanisms and the advantages or limitations of the differentiation methods are also introduced. Finally, we propose several research challenges in this field and future research directions that require extensive investigation. It is hoped that this review will help researchers in the design of new CDs as ideal fluorescent probes for realizing diverse cell differentiation applications.
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Affiliation(s)
- Yaolong An
- State Key Laboratory of Digital Medical Engineering, Key Laboratory for Biomaterials and Devices of Jiangsu Province, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 211189, China
| | - Zihao Wang
- State Key Laboratory of Digital Medical Engineering, Key Laboratory for Biomaterials and Devices of Jiangsu Province, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 211189, China
| | - Fu-Gen Wu
- State Key Laboratory of Digital Medical Engineering, Key Laboratory for Biomaterials and Devices of Jiangsu Province, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 211189, China.
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Liu Y, Su G, Wang W, Wei H, Dang L. A novel multifunctional SERS microfluidic sensor based on ZnO/Ag nanoflower arrays for label-free ultrasensitive detection of bacteria. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:2085-2092. [PMID: 38511545 DOI: 10.1039/d4ay00018h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
This study proposes a microfluidic platform for rapid enrichment and ultrasensitive SERS detection of bacteria. The platform comprises ZnO nanoflower arrays decorated with silver nanoparticles to enhance the SERS sensitivity. The ZnO nanoflower array substrate with a 3D reticular columnar structure is prepared using the hydrothermal method. SEM analysis depicts the 3.05 μm gap distribution of the substrate array to intercept the most bacteria in the particle sizes range of 0.5 to 3 μm. Then, silver nanoparticles are deposited on the ZnO nano-array surface by liquid evaporation self-assembly. TEM and SEM analysis indicate nanosize of Ag particles, evenly distributed on the substrate, enhancing the SERS efficiency and improving sensing reproducibility. The probe molecules (R6G) are tested to demonstrate the high SERS activity of the proposed microfluidic sensor. Then, Escherichia coli, Staphylococcus aureus, Enterococcus faecalis, and Bacillus subtilis are selected, demonstrating the sensor's excellent bacterial capture and sensitive recognition capabilities, with a detection limit as low as 102 CFU mL-1. Additionally, the antibacterial properties of ZnO/Ag heterojunction nanostructures are studied, suggesting their ability to inactivate bacteria. Compared with the traditional Au-enhanced chip, the sensor preparation is easy, safe, reliable, and low-cost. Moreover, the ZnO nano-array exhibits a large specific surface area, high interception ability, stronger and uniform SERS performance, and effective and reliable detection of trace pathogens. This work provides potential future ZnO/Ag microfluidic SERS sensor applications for rapid, unlabeled, and trace pathogens detection in clinical and environmental applications, potentially achieving breakthroughs in early detection, prevention, and treatment.
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Affiliation(s)
- Yue Liu
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China.
| | - Guanwen Su
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China.
| | - Wei Wang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China.
| | - Hongyuan Wei
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China.
| | - Leping Dang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China.
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4
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Xiao Y, Luo S, Qiu J, Zhang Y, Liu W, Zhao Y, Zhu Y, Deng Y, Lu M, Liu S, Lin Y, Huang A, Wang W, Hu X, Gu B. Highly sensitive SERS platform for pathogen analysis by cyclic DNA nanostructure@AuNP tags and cascade primer exchange reaction. J Nanobiotechnology 2024; 22:75. [PMID: 38408974 PMCID: PMC10895721 DOI: 10.1186/s12951-024-02339-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 02/09/2024] [Indexed: 02/28/2024] Open
Abstract
The capacity to identify small amounts of pathogens in real samples is extremely useful. Herein, we proposed a sensitive platform for detecting pathogens using cyclic DNA nanostructure@AuNP tags (CDNA) and a cascade primer exchange reaction (cPER). This platform employs wheat germ agglutinin-modified Fe3O4@Au magnetic nanoparticles (WMRs) to bind the E. coli O157:H7, and then triggers the cPER to generate branched DNA products for CDNA tag hybridization with high stability and amplified SERS signals. It can identify target pathogens as low as 1.91 CFU/mL and discriminate E. coli O157:H7 in complex samples such as water, milk, and serum, demonstrating comparable or greater sensitivity and accuracy than traditional qPCR. Moreover, the developed platform can detect low levels of E. coli O157:H7 in mouse serum, allowing the discrimination of mice with early-stage infection. Thus, this platform holds promise for food analysis and early infection diagnosis.
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Affiliation(s)
- Yunju Xiao
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Shihua Luo
- Center for Clinical Laboratory Diagnosis and Research, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, People's Republic of China
- Key Laboratory of Research on Clinical Molecular Diagnosis for High Incidence Diseases in Western Guangxi of Guangxi Higher Education Institutions, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, People's Republic of China
| | - Jiuxiang Qiu
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
- Department of Laboratory Medicine, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510515, People's Republic of China
| | - Ye Zhang
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Weijiang Liu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Yunhu Zhao
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - YiTong Zhu
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Yangxi Deng
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Mengdi Lu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Suling Liu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Yong Lin
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Aiwei Huang
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Wen Wang
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China.
| | - Xuejiao Hu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China.
| | - Bing Gu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China.
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Zhu Y, Tian J, Liu S, Li M, Zhao L, Liu W, Zhao G, Liang D, Ma Y, Tu Q. Rapid capture and quantification of food-borne spores based on the double-enhanced Fe 3O 4@PEI@Ag@PEI core-shell structure SERS sensor. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 305:123512. [PMID: 37864975 DOI: 10.1016/j.saa.2023.123512] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/21/2023] [Accepted: 10/08/2023] [Indexed: 10/23/2023]
Abstract
To realize rapid capture and quantification of food-borne spores and prevent their potential harm, Fe3O4@PEI@Ag@PEI core-shell structure nanoparticles were combined with flower-like AgNPs for double enhancement and efficient capture of spores. The developed sensor showed excellent reproducibility and SERS enhancement factor (AEF) is 4.6 × 104. Orthogonal partial least-squares discrimination analysis and linear discriminant analysis accurately identified the three spores (Bacillus subtilis, Bacillus cereus, and Clostridium perfringens), and the qualitative identification accuracy of linear discriminant analysis was 100 %. Efficient enrichment of B. subtilis spores was realized within 5 min, with a detection limit of 3 cfu/mL. Spiked tests revealed that this sensor was effective in detecting spores in milk, orange juice, and water samples, with recovery ratio of 95.2-103.9 % and relative standard deviation of 3.1-7.7 %. Thus, the developed sensor was accurate and reliable, and could achieve rapid identification and quantitative detection of food-borne spores.
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Affiliation(s)
- Yaodi Zhu
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou 450002, PR China; Henan Jiuyuquan Food Co., LTD., Postdoctoral Innovation Base, Henan Province, Yuanyang 453500, PR China
| | - Jiaqi Tian
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou 450002, PR China
| | - Shijie Liu
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou 450002, PR China
| | - Miaoyun Li
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou 450002, PR China.
| | - Lijun Zhao
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou 450002, PR China
| | - Weijia Liu
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou 450002, PR China
| | - Gaiming Zhao
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou 450002, PR China
| | - Dong Liang
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou 450002, PR China; Henan Jiuyuquan Food Co., LTD., Postdoctoral Innovation Base, Henan Province, Yuanyang 453500, PR China
| | - Yangyang Ma
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou 450002, PR China
| | - Qiancheng Tu
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, PR China; International Joint Laboratory of Meat Processing and Safety in Henan Province, Henan Agricultural University, Zhengzhou 450002, PR China
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6
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Mi F, Guan M, Wang Y, Chen G, Geng P, Cui Q, Huan H. FPBA-modified magnetic nanoparticles combined with Au@AgNPs for label-free SERS detection of foodborne pathogens in milk. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 302:123094. [PMID: 37453385 DOI: 10.1016/j.saa.2023.123094] [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: 02/09/2023] [Revised: 06/10/2023] [Accepted: 06/29/2023] [Indexed: 07/18/2023]
Abstract
We report a low-cost and highly sensitive label-free SERS biosensor for pathogen detection. Herein, this study prepared 4-formylphenylboric acid (FPBA) functionalized magnetic nanoparticles to adsorb pathogenic bacteria through boric acid affinity principle, and used aptamer modified Au@AgNPs as SERS substrate to specifically combine with pathogenic bacteria to form a sandwich structure. The pathogenic bacteria were detected by portable Raman spectrometer for SERS detection, and the fingerprint signals of pathogenic bacteria were analyzed by principal component analysis (PCA) to achieve the purpose of classification and identification of pathogenic bacteria. Under the optimized conditions, the SERS detection of Staphylococcus aureus (S. aureus) was 102 ∼ 106 CFU/mL (R2 = 0.9925), and the limit of detection (LOD) was 34 CFU/mL. The linear range of Escherichia coli (E. coli) showed a good linear relationship in the range of 102 ∼ 106 CFU/mL (R2 = 0.9993), and the LOD was 18 CFU/mL. The whole detection process was used the portable Raman spectrometer, which makes it suitable for the application of point-of-care testing (POCT).
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Affiliation(s)
- Fang Mi
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi 830017, China; Xinjiang Bingtuan Xingxin Vocational and Technical College, Urumqi 830074, China
| | - Ming Guan
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi 830017, China.
| | - Ying Wang
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi 830017, China
| | - Guotong Chen
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi 830017, China
| | - Pengfei Geng
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi 830017, China
| | - Qiuling Cui
- Xinjiang Bingtuan Xingxin Vocational and Technical College, Urumqi 830074, China
| | - Hongtao Huan
- Xinjiang Bingtuan Xingxin Vocational and Technical College, Urumqi 830074, China
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7
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Kotsifaki DG, Rajiv Singh R, Nic Chormaic S, Truong VG. Asymmetric split-ring plasmonic nanostructures for the optical sensing of Escherichia coli. BIOMEDICAL OPTICS EXPRESS 2023; 14:4875-4887. [PMID: 37791281 PMCID: PMC10545205 DOI: 10.1364/boe.497820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/10/2023] [Accepted: 08/11/2023] [Indexed: 10/05/2023]
Abstract
Strategies for in-liquid micro-organism detection are crucial for the clinical and pharmaceutical industries. While Raman spectroscopy is a promising label-free technique for micro-organism detection, it remains challenging due to the weak bacterial Raman signals. In this work, we exploit the unique electromagnetic properties of metamaterials to identify bacterial components in liquid using an array of Fano-resonant metamolecules. This Fano-enhanced Raman scattering (FERS) platform is designed to exhibit a Fano resonance close to the protein amide group fingerprint around 6030 nm. Raman signatures of Escherichia coli were recorded at several locations on the metamaterial under off-resonance laser excitation at 530 nm, where the photodamage effect is minimized. As the sizes of the Escherichia coli are comparable to the micro-gaps i.e, 0.41 µm, of the metamaterials, its local immobilisation leads to an increase in the Raman sensitivity. We also observed that the time-dependent FERS signal related to bacterial amide peaks increased during the bacteria's mid-exponential phase while it decreased during the stationary phase. This work provides a new set of opportunities for developing ultrasensitive FERS platforms suitable for large-scale applications and could be particularly useful for diagnostics and environmental studies at off-resonance excitation.
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Affiliation(s)
- Domna G. Kotsifaki
- Light-Matter Interactions for Quantum Technologies Unit, Okinawa Institute of Science and Technology Graduate University, Onna 904-0495 Okinawa, Japan
- Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, 215316 Jiangsu Province, China
| | - Ranjan Rajiv Singh
- Information Processing Biology Unit, Okinawa Institute of Science and Technology Graduate University, Onna 904-0495 Okinawa, Japan
| | - Síle Nic Chormaic
- Light-Matter Interactions for Quantum Technologies Unit, Okinawa Institute of Science and Technology Graduate University, Onna 904-0495 Okinawa, Japan
| | - Viet Giang Truong
- Light-Matter Interactions for Quantum Technologies Unit, Okinawa Institute of Science and Technology Graduate University, Onna 904-0495 Okinawa, Japan
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8
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Usman M, Tang JW, Li F, Lai JX, Liu QH, Liu W, Wang L. Recent advances in surface enhanced Raman spectroscopy for bacterial pathogen identifications. J Adv Res 2023; 51:91-107. [PMID: 36549439 PMCID: PMC10491996 DOI: 10.1016/j.jare.2022.11.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/15/2022] [Accepted: 11/30/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND The rapid and reliable detection of pathogenic bacteria at an early stage is a highly significant research field for public health. However, most traditional approaches for pathogen identification are time-consuming and labour-intensive, which may cause physicians making inappropriate treatment decisions based on an incomplete diagnosis of patients with unknown infections, leading to increased morbidity and mortality. Therefore, novel methods are constantly required to face the emerging challenges of bacterial detection and identification. In particular, Raman spectroscopy (RS) is becoming an attractive method for rapid and accurate detection of bacterial pathogens in recent years, among which the newly developed surface-enhanced Raman spectroscopy (SERS) shows the most promising potential. AIM OF REVIEW Recent advances in pathogen detection and diagnosis of bacterial infections were discussed with focuses on the development of the SERS approaches and its applications in complex clinical settings. KEY SCIENTIFIC CONCEPTS OF REVIEW The current review describes bacterial classification using surface enhanced Raman spectroscopy (SERS) for developing a rapid and more accurate method for the identification of bacterial pathogens in clinical diagnosis. The initial part of this review gives a brief overview of the mechanism of SERS technology and development of the SERS approach to detect bacterial pathogens in complex samples. The development of the label-based and label-free SERS strategies and several novel SERS-compatible technologies in clinical applications, as well as the analytical procedures and examples of chemometric methods for SERS, are introduced. The computational challenges of pre-processing spectra and the highlights of the limitations and perspectives of the SERS technique are also discussed.Taken together, this systematic review provides an overall summary of the SERS technique and its application potential for direct bacterial diagnosis in clinical samples such as blood, urine and sputum, etc.
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Affiliation(s)
- Muhammad Usman
- Department of Intelligent Medical Engineering, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Jia-Wei Tang
- Department of Intelligent Medical Engineering, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Fen Li
- Laboratory Medicine, Huai'an Fifth People's Hospital, Huai'an, Jiangsu Province, China
| | - Jin-Xin Lai
- Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong Province, China
| | - Qing-Hua Liu
- State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Macao, Macau SAR, China
| | - Wei Liu
- Department of Intelligent Medical Engineering, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
| | - Liang Wang
- Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong Province, China.
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9
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Ma Y, Zhang J, Yu N, Shi J, Zhang Y, Chen Z, Jia G. Effect of Nanomaterials on Gut Microbiota. TOXICS 2023; 11:384. [PMID: 37112611 PMCID: PMC10144479 DOI: 10.3390/toxics11040384] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/07/2023] [Accepted: 04/16/2023] [Indexed: 06/19/2023]
Abstract
Nanomaterials are widely employed in everyday life, including food and engineering. Food additives on a nanoscale can enter the body via the digestive tract. The human gut microbiota is a dynamically balanced ecosystem composed of a multitude of microorganisms that play a crucial role in maintaining the proper physiological function of the digestive tract and the body's endocrine coordination. While the antibacterial capabilities of nanomaterials have received much interest in recent years, their impacts on gut microbiota ought to be cautioned about and explored. Nanomaterials exhibit good antibacterial capabilities in vitro. Animal studies have revealed that oral exposure to nanomaterials inhibits probiotic reproduction, stimulates the inflammatory response of the gut immune system, increases opportunistic infections, and changes the composition and structure of the gut microbiota. This article provides an overview of the impacts of nanomaterials, particularly titanium dioxide nanoparticles (TiO2 NPs), on the gut microbiota. It advances nanomaterial safety research and offers a scientific foundation for the prevention, control, and treatment of illnesses associated with gut microbiota abnormalities.
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Affiliation(s)
- Ying Ma
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100191, China
| | - Jiahe Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100191, China
| | - Nairui Yu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100191, China
| | - Jiaqi Shi
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100191, China
| | - Yi Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100191, China
| | - Zhangjian Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100191, China
| | - Guang Jia
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100191, China
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10
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Liu L, Ma W, Wang X, Li S. Recent Progress of Surface-Enhanced Raman Spectroscopy for Bacteria Detection. BIOSENSORS 2023; 13:350. [PMID: 36979564 PMCID: PMC10046079 DOI: 10.3390/bios13030350] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 02/28/2023] [Accepted: 02/28/2023] [Indexed: 06/18/2023]
Abstract
There are various pathogenic bacteria in the surrounding living environment, which not only pose a great threat to human health but also bring huge losses to economic development. Conventional methods for bacteria detection are usually time-consuming, complicated and labor-intensive, and cannot meet the growing demands for on-site and rapid analyses. Sensitive, rapid and effective methods for pathogenic bacteria detection are necessary for environmental monitoring, food safety and infectious bacteria diagnosis. Recently, benefiting from its advantages of rapidity and high sensitivity, surface-enhanced Raman spectroscopy (SERS) has attracted significant attention in the field of bacteria detection and identification as well as drug susceptibility testing. Here, we comprehensively reviewed the latest advances in SERS technology in the field of bacteria analysis. Firstly, the mechanism of SERS detection and the fabrication of the SERS substrate were briefly introduced. Secondly, the label-free SERS applied for the identification of bacteria species was summarized in detail. Thirdly, various SERS tags for the high-sensitivity detection of bacteria were also discussed. Moreover, we emphasized the application prospects of microfluidic SERS chips in antimicrobial susceptibility testing (AST). In the end, we gave an outlook on the future development and trends of SERS in point-of-care diagnoses of bacterial infections.
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Affiliation(s)
- Lulu Liu
- College of Chemistry and Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
| | - Wenrui Ma
- Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
- Key Disciplines Laboratory of Novel Micro-Nano Devices and System Technology, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
| | - Xiang Wang
- Department of Mechanical Engineering, Dongguan University of Technology, Dongguan 523808, China
| | - Shunbo Li
- Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
- Key Disciplines Laboratory of Novel Micro-Nano Devices and System Technology, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
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11
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Haq AU, Majeed MI, Nawaz H, Rashid N, Javed MR, Raza A, Shakeel M, Zahra ST, Meraj L, Perveen A, Murtaza S, Khaliq S. Surface-enhanced Raman spectroscopy for monitoring antibacterial activity of imidazole derivative (1-benzyl-3-(sec‑butyl)-1H-imidazole-3-ium bromide) against Bacillus subtilis and Escherichia coli. Photodiagnosis Photodyn Ther 2023; 42:103533. [DOI: 10.1016/j.pdpdt.2023.103533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 02/17/2023] [Accepted: 03/21/2023] [Indexed: 04/05/2023]
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12
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Liu L, Zhang T, Wu Z, Zhang F, Wang Y, Wang X, Zhang Z, Li C, Lv X, Chen D, Jiao S, Wu J, Li Y. Universal Method for Label-Free Detection of Pathogens and Biomolecules by Surface-Enhanced Raman Spectroscopy Based on Gold Nanoparticles. Anal Chem 2023; 95:4050-4058. [PMID: 36780544 DOI: 10.1021/acs.analchem.2c04525] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
The detection of biomolecules is the key to basic molecular research, diagnostics, drug screening, and other biomedical applications. However, the existing detection techniques can only detect single classes of biomolecules, which warrant the development of a versatile biomolecule detection platform. Here, we developed a universal method for label-free detection of biomolecules via surface-enhanced Raman spectroscopy (SERS) by using sulfhydryl-modified gold nanoparticles as the substrate. The biomolecules can be adsorbed on the surface of gold nanoparticles cleaned by bromide ions to obtain initially enhanced Raman signals, and the aggregator (calcium ion) was further added to form a "hot spot", which enhanced the biomolecular signal again. Through the "two-step enhancement method", we were able to obtain fingerprints of DNA, RNA, amino acids, peptides, proteins, viruses, bacteria, and lipid molecules. This low-toxic, highly sensitive, and widely applicable technique has potential applications in biomedical research, clinical testing, and disease diagnosis and lays the foundation for the development of SERS technology in various fields.
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Affiliation(s)
- Ling Liu
- Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province 150081, P.R. China
| | - Ting Zhang
- Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province 150081, P.R. China
| | - Zheng Wu
- Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province 150081, P.R. China
| | - Fenghai Zhang
- Institute of Physics, Guizhou University, No. 2708, South Section of Huaxi Avenue, Guiyang City, Guizhou Province 550025, P.R. China
| | - Yunpeng Wang
- Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province 150081, P.R. China
| | - Xiaotong Wang
- Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province 150081, P.R. China
| | - Zhe Zhang
- Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province 150081, P.R. China
| | - Chengming Li
- Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province 150081, P.R. China
| | - Xinpeng Lv
- Department of Emergency Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, P.R. China
| | - Deqiang Chen
- Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province 150081, P.R. China
| | - Songyan Jiao
- Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province 150081, P.R. China
| | - Jing Wu
- School of Science, Nantong University, No. 9, Seyuan Road, Nantong, Jiangsu 226019, P.R. China
| | - Yang Li
- Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province 150081, P.R. China.,Faculty of Biochemistry and Molecular Medicine, University of Oulu, Aapistie 5A, 90220 Oulu, Finland
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13
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Wang W, Rahman A, Kang S, Vikesland PJ. Investigation of the Influence of Stress on Label-Free Bacterial Surface-Enhanced Raman Spectra. Anal Chem 2023; 95:3675-3683. [PMID: 36757218 DOI: 10.1021/acs.analchem.2c04636] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Label-free surface-enhanced Raman spectroscopy (SERS) has been proposed as a promising bacterial detection technique. However, the quality of the collected bacterial spectra can be affected by the time between sample acquisition and the SERS measurement. This study evaluated how storage stress stimuli influence the label-free SERS spectra of Pseudomonas syringae samples stored in phosphate buffered saline. The results indicate that when faced with nutrient limitations and changes in osmatic pressure, samples at room temperature (25 °C) exhibit more significant spectral changes than those stored at cold temperature (4 °C). At higher temperatures, bacterial communities secrete extracellular biomolecules that induce programmed cell death and result in increases in the supernatant SERS signals. Surviving cells consume cellular components to support their metabolism, thus leading to measurable declines in cell SERS intensity. Two-dimensional correlation spectroscopy analysis suggests that cellular component signatures decline sequentially in the following order: proteins, nucleic acids, and lipids. Extracellular nucleic acids, proteins, and carbohydrates are secreted in turn. After subtracting the SERS changes resulting from storage, we evaluated bacterial response to viral infection. P. syringae SERS profile changes enable accurate bacteriophage Phi6 quantification over the range of 104-1010 PFU/mL. The results indicate that storage conditions impact bacterial label-free SERS signals and that such influences need to be accounted for and if possible avoided when detecting bacteria or evaluating bacterial response to stress stimuli.
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Affiliation(s)
- Wei Wang
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.,Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Asifur Rahman
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.,Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Seju Kang
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.,Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Peter J Vikesland
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.,Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Virginia Tech, Blacksburg, Virginia 24061, United States
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14
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Wang X, Wang Y, He Y, Liu L, Wang X, Jiang S, Yang N, Shi N, Li Y. A versatile technique for indiscriminate detection of unlabeled biomolecules via double-enhanced Raman scattering. Int J Biol Macromol 2023; 228:615-623. [PMID: 36581033 DOI: 10.1016/j.ijbiomac.2022.12.241] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/14/2022] [Accepted: 12/21/2022] [Indexed: 12/27/2022]
Abstract
Surface-enhanced Raman scattering is a rapid, highly sensitive and non-destructive technique, whereas, it was still limited to designing different types of enhancing substrates or using probe molecules to only identify single biomolecules. Especially, some special biomolecules have weak Raman signals in solid state, so it is a huge challenge to obtain their enhanced Raman signals in liquid. To solve the problem, a double-enhanced Raman scattering (DERS) detection platform was developed in this study based on silver nanoparticles that were prepared by using an appropriate amount of sodium borohydride and guided by calcium ions to form good "hot spots". This enabled one to successfully obtain fingerprints of various types of biomolecules under the identical experimental conditions. The addition of sodium borohydride as reducing agent could protect silver nanoparticles from oxidation, and biomolecules were adsorbed on the exposed silver surface and demonstrated their initially enhanced Raman signals. Furthermore, the "hot spots" formed by silver nanoparticles without silver oxide coating could further enhance the Raman signal of biomolecules, making the enhancement factor up to 10 [8]. To sum up, the possibility of fast identification of different species of biomolecules via DERS has wide application prospects in the fields of biomarker detection and medical diagnosis.
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Affiliation(s)
- Xiaotong Wang
- Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Heilongjiang 150081, PR China; Department of Pharmaceutical Analysis and Analytical Chemistry, College of Pharmacy, Harbin Medical University, Heilongjiang 150081, PR China
| | - Yunpeng Wang
- Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Heilongjiang 150081, PR China; Department of Inorganic Chemistry and Physical Chemistry, College of Pharmacy, Harbin Medical University, Heilongjiang 150081, PR China
| | - Yingying He
- Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Heilongjiang 150081, PR China
| | - Ling Liu
- Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Heilongjiang 150081, PR China; Department of Pharmaceutical Analysis and Analytical Chemistry, College of Pharmacy, Harbin Medical University, Heilongjiang 150081, PR China
| | - Xiaoqing Wang
- School of Chemistry and Chemical Engineering, Guizhou University, Guizhou 550000, PR China
| | - Shen Jiang
- Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Heilongjiang 150081, PR China
| | - Ni Yang
- School of Chemistry and Chemical Engineering, Guizhou University, Guizhou 550000, PR China
| | - Na Shi
- Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Jilin 130000, PR China
| | - Yang Li
- Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Heilongjiang 150081, PR China; Department of Pharmaceutical Analysis and Analytical Chemistry, College of Pharmacy, Harbin Medical University, Heilongjiang 150081, PR China.
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15
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Dina NE, Tahir MA, Bajwa SZ, Amin I, Valev VK, Zhang L. SERS-based antibiotic susceptibility testing: Towards point-of-care clinical diagnosis. Biosens Bioelectron 2023; 219:114843. [PMID: 36327563 DOI: 10.1016/j.bios.2022.114843] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 08/09/2022] [Accepted: 10/19/2022] [Indexed: 11/06/2022]
Abstract
Emerging antibiotic resistant bacteria constitute one of the biggest threats to public health. Surface-enhanced Raman scattering (SERS) is highly promising for detecting such bacteria and for antibiotic susceptibility testing (AST). SERS is fast, non-destructive (can probe living cells) and it is technologically flexible (readily integrated with robotics and machine learning algorithms). However, in order to integrate into efficient point-of-care (PoC) devices and to effectively replace the current culture-based methods, it needs to overcome the challenges of reliability, cost and complexity. Recently, significant progress has been made with the emergence of both new questions and new promising directions of research and technological development. This article brings together insights from several representative SERS-based AST studies and approaches oriented towards clinical PoC biosensing. It aims to serve as a reference source that can guide progress towards PoC routines for identifying antibiotic resistant pathogens. In turn, such identification would help to trace the origin of sporadic infections, in order to prevent outbreaks and to design effective medical treatment and preventive procedures.
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Affiliation(s)
- Nicoleta Elena Dina
- Department of Molecular and Biomolecular Department, National Institute for Research and Development of Isotopic and Molecular Technologies, 400293, Cluj-Napoca, Romania.
| | - Muhammad Ali Tahir
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai, 200433, People's Republic of China
| | - Sadia Z Bajwa
- National Institute for Biotechnology and Genetic Engineering (NIBGE), P.O. Box No. 577, Jhang Road, 38000, Faisalabad, Pakistan
| | - Imran Amin
- National Institute for Biotechnology and Genetic Engineering (NIBGE), P.O. Box No. 577, Jhang Road, 38000, Faisalabad, Pakistan
| | - Ventsislav K Valev
- Centre for Photonics and Photonic Materials, Department of Physics, University of Bath, Bath, BA2 7AY, United Kingdom; Centre for Therapeutic Innovation, University of Bath, Bath, United Kingdom; Centre for Nanoscience and Nanotechnology, University of Bath, Bath, United Kingdom.
| | - Liwu Zhang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai, 200433, People's Republic of China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, People's Republic of China.
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16
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Li Y, Wang Y, Tian J, Huang JA. Detection of Cell-Derived Exosomes Via Surface-Enhanced Raman Scattering Using Aggregated Silver Nanoparticles. Methods Mol Biol 2023; 2668:15-22. [PMID: 37140786 DOI: 10.1007/978-1-0716-3203-1_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Exosomes are small extracellular vesicles that contain RNA, lipids, and proteins and can act as cellular messengers, carrying information to cells and tissues in the body. Thus, sensitive, label-free, and multiplexed analysis of exosomes may help in early diagnosis of important diseases. Here, we describe the process of pretreatment of cell-derived exosomes, preparation of surface-enhanced Raman scattering (SERS) substrates, and label-free SERS detection of exosomes using sodium borohydride aggregators. This method can enable the observation of SERS signals of exosomes that are clear and stable and have a good signal-to-noise ratio.
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Affiliation(s)
- Yang Li
- College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, China
| | - Yunpeng Wang
- College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, China
| | - Jinwei Tian
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, The Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin Medical University, Harbin, Heilongjiang, China
| | - Jian-An Huang
- Faculty of Medicine, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
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17
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Li YH, Zeng J, Wang Z, Wang TY, Wu SY, Zhu XY, Zhang X, Shan BH, Gao CZ, Wang SH, Wu FG. Sulfur-Doped Organosilica Nanodots as a Universal Sensor for Ultrafast Live/Dead Cell Discrimination. BIOSENSORS 2022; 12:1000. [PMID: 36354509 PMCID: PMC9688158 DOI: 10.3390/bios12111000] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 10/22/2022] [Accepted: 11/01/2022] [Indexed: 06/16/2023]
Abstract
Rapid and accurate differentiation between live and dead cells is highly desirable for the evaluation of cell viability. Here, we report the application of the orange-emitting sulfur-doped organosilica nanodots (S-OSiNDs) for ultrafast (30 s), ultrasensitive (1 μg/mL), and universal staining of the dead bacterial, fungal, and mammalian cells but not the live ones, which satisfies the requirements of a fluorescent probe that can specifically stain the dead cells. We further verify that the fluorescence distribution range of S-OSiNDs (which are distributed in cytoplasm and nucleus) is much larger than that of the commercial dead/fixed cell/tissue staining dye RedDot2 (which is distributed in the nucleus) in terms of dead mammalian cell staining, indicating that S-OSiNDs possess a better staining effect of dead cells than RedDot2. Overall, S-OSiNDs can be used as a robust fluorescent probe for ultrafast and accurate discrimination between dead and live cells at a single cell level, which may find a variety of applications in the biomedical field.
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18
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Gherman AMR, Dina NE, Chiș V. Cheminformatics Study on Structural and Bactericidal Activity of Latest Generation β-Lactams on Widespread Pathogens. Int J Mol Sci 2022; 23:ijms232012685. [PMID: 36293563 PMCID: PMC9604271 DOI: 10.3390/ijms232012685] [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: 09/22/2022] [Revised: 10/19/2022] [Accepted: 10/19/2022] [Indexed: 01/24/2023] Open
Abstract
Raman spectra of oxacillin (OXN), carbenicillin (CBC), and azlocillin (AZL) are reported for the first time together with their full assignment of the normal modes, as calculated using Density Functional Theory (DFT) methods with the B3LYP exchange-correlation functional coupled to the 6-31G(d) and 6-311+G(2d,p) basis sets. Molecular docking studies were performed on five penicillins, including OXN, CBC, and AZL. Subsequently, their chemical reactivity and correlated efficiency towards specific pathogenic strains were revealed by combining frontier molecular orbital (FMO) data with molecular electrostatic potential (MEP) surfaces. Their bactericidal activity was tested and confirmed on a couple of species, both Gram-positive and Gram-negative, by using the disk diffusion method. Additionally, a surface-enhanced Raman spectroscopy (SERS)-principal component analysis (PCA)-based resistogram of A. hydrophila is proposed as a clinically relevant insight resulting from the synergistic cheminformatics and vibrational study on CBC and AZL.
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Affiliation(s)
- Ana Maria Raluca Gherman
- Department of Molecular and Biomolecular Physics, National Institute for R&D of Isotopic and Molecular Technologies, Donat 67-103, 400293 Cluj-Napoca, Romania
- Faculty of Physics, Babeș-Bolyai University, Kogălniceanu 1, 400084 Cluj-Napoca, Romania
| | - Nicoleta Elena Dina
- Department of Molecular and Biomolecular Physics, National Institute for R&D of Isotopic and Molecular Technologies, Donat 67-103, 400293 Cluj-Napoca, Romania
- Correspondence: ; Tel.: +40-264-58-40-37
| | - Vasile Chiș
- Faculty of Physics, Babeș-Bolyai University, Kogălniceanu 1, 400084 Cluj-Napoca, Romania
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19
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Kanwal A, Bibi N, Hyder S, Muhammad A, Ren H, Liu J, Lei Z. Recent advances in green carbon dots (2015-2022): synthesis, metal ion sensing, and biological applications. BEILSTEIN JOURNAL OF NANOTECHNOLOGY 2022; 13:1068-1107. [PMID: 36262178 PMCID: PMC9551278 DOI: 10.3762/bjnano.13.93] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 09/14/2022] [Indexed: 06/08/2023]
Abstract
Carbon dots (CDs) show extensive potential in various fields such as sensing, bioimaging, catalysis, medicine, optoelectronics, and drug delivery due to their unique properties, that is, low cytotoxicity, cytocompatibility, water-solubility, multicolor wavelength tuned emission, photo-stability, easy modification, strong chemical inertness, etc. This review article especially focuses on the recent advancement (2015-2022) in the green synthesis of CDs, their application in metal ions sensing and microbial bioimaging, detection, and viability studies as well as their applications in pathogenic control and plant growth promotion.
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Affiliation(s)
- Aisha Kanwal
- Key Laboratory of Applied Surface and Colloid Chemistry, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi’an, 710119, China
| | - Naheed Bibi
- Department of Chemistry, Shaheed Benazir Bhutto Women University, Charsadda Road, Larama, Peshawar, Pakistan
| | - Sajjad Hyder
- Department of Botany, Government College Women University, Sialkot, Pakistan
| | - Arif Muhammad
- Key Laboratory of Applied Surface and Colloid Chemistry, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi’an, 710119, China
| | - Hao Ren
- Key Laboratory of Applied Surface and Colloid Chemistry, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi’an, 710119, China
| | - Jiangtao Liu
- College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, 712046, China
| | - Zhongli Lei
- Key Laboratory of Applied Surface and Colloid Chemistry, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi’an, 710119, China
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20
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Wang W, Rahman A, Huang Q, Vikesland PJ. Surface-enhanced Raman spectroscopy enabled evaluation of bacterial inactivation. WATER RESEARCH 2022; 220:118668. [PMID: 35689895 DOI: 10.1016/j.watres.2022.118668] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 05/21/2022] [Accepted: 05/23/2022] [Indexed: 06/15/2023]
Abstract
An improved understanding of bacterial inactivation mechanisms will provide useful insights for infectious disease control and prevention. We evaluated bacterial response to several inactivation methods using surface-enhanced Raman spectroscopy (SERS). The results indicate that changes in the SERS signal are highly related to cellular disruption and that cellular changes arising after cell inactivation cannot be ignored. The membrane integrity of heat and the combination of UV254 and free chlorine (UV254/chlorine) treated Pseudomonas syringae (P. syringae) cells were severely disrupted, leading to significantly increased peak intensities. Conversely, ethanol treated bacteria exhibited intact cell morphologies and the SERS spectra remained virtually unchanged. On the basis of time dependent SERS signals, we extracted dominant SERS patterns. Peaks related to nucleic acids accounted for the main changes observed during heat, UV254, and UV254/chlorine treatment, likely due to their outward diffusion from the cell cytoplasm. For free chlorine treated P. syringae, carbohydrates and proteins on the cell membrane were denatured or lost, resulting in a decrease in related peak intensities. The nucleobases were likely oxidized when treated with UV254 and chlorine, thus leading to shifts in the related peaks. The generality of the method was verified using two additional bacterial strains: Escherichia coli and Bacillus subtilis as well as in different water matrices. The results suggest that SERS spectral analysis is a promising means to examine bacterial stress response at the molecular level and has applicability in diverse environmental implementations.
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Affiliation(s)
- Wei Wang
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA; Virginia Tech Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, USA
| | - Asifur Rahman
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA; Virginia Tech Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, USA
| | - Qishen Huang
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA; Virginia Tech Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, USA
| | - Peter J Vikesland
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA; Virginia Tech Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, USA.
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21
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Innovative Application of SERS in Food Quality and Safety: A Brief Review of Recent Trends. Foods 2022; 11:foods11142097. [PMID: 35885344 PMCID: PMC9322305 DOI: 10.3390/foods11142097] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 07/07/2022] [Accepted: 07/08/2022] [Indexed: 02/06/2023] Open
Abstract
Innovative application of surface-enhanced Raman scattering (SERS) for rapid and nondestructive analyses has been gaining increasing attention for food safety and quality. SERS is based on inelastic scattering enhancement from molecules located near nanostructured metallic surfaces and has many advantages, including ultrasensitive detection and simple protocols. Current SERS-based quality analysis contains composition and structural information that can be used to establish an electronic file of the food samples for subsequent reference and traceability. SERS is a promising technique for the detection of chemical, biological, and harmful metal contaminants, as well as for food poisoning, and allergen identification using label-free or label-based methods, based on metals and semiconductors as substrates. Recognition elements, including immunosensors, aptasensors, or molecularly imprinted polymers, can be linked to SERS tags to specifically identify targeted contaminants and perform authenticity analysis. Herein, we highlight recent studies on SERS-based quality and safety analysis for different foods categories spanning the whole food chain, ‘from farm to table’ and processing, genetically modified food, and novel foods. Moreover, SERS detection is a potential tool that ensures food safety in an easy, rapid, reliable, and nondestructive manner during the COVID-19 pandemic.
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22
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Zhu Y, Liu W, Liu S, Li M, Zhao L, Xu L, Wang N, Zhao G, Yu Q. Preparation of AgNPs self-assembled solid-phase substrate via seed-mediated growth for rapid identification of different bacterial spores based on SERS. Food Res Int 2022; 160:111426. [DOI: 10.1016/j.foodres.2022.111426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 05/23/2022] [Accepted: 05/24/2022] [Indexed: 11/04/2022]
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23
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Naseri M, Maliha M, Dehghani M, Simon GP, Batchelor W. Rapid Detection of Gram-Positive and -Negative Bacteria in Water Samples Using Mannan-Binding Lectin-Based Visual Biosensor. ACS Sens 2022; 7:951-959. [PMID: 35290028 DOI: 10.1021/acssensors.1c01748] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Waterborne bacterial infection is a health threat worldwide, making accurate and timely bacteria detection crucial to prevent waterborne disease outbreaks. Inspired by the intrinsic capability of mannan-binding lectin (MBL) in recognizing the pathogen-associated molecular patterns (PAMPs), a visual biosensor is developed here for the on-site detection of both Gram-positive and -negative bacteria. The biosensor was synthesized by immobilization of the MBL protein onto the blue carboxyl-functionalized polystyrene microparticles (PSM), which is then used in a two-step assay to detect bacterial cells in water samples. The first step involved a 20 min incubation following the MBL-PSM and calcium chloride solution addition to the samples. The second step was to add ethanol to the resultant blue mixture and observe the color change with the naked eye after 15 min. The biosensor had a binary (all-or-none) response, which in the presence of bacterial cells kept its blue color, while in their absence the color changed from blue to colorless. Testing the water samples spiked with four Gram-negative bacteria including Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa and two Gram-positive bacteria of Enterococcus faecalis and Staphylococcus aureus showed that the biosensor could detect all tested bacteria with a concentration as low as 101.5 CFU/ml. The performance of biosensor using the water samples from a water treatment plant also confirmed its capability to detect the pathogens in real-life water samples without the need for instrumentation.
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Affiliation(s)
- Mahdi Naseri
- Bioresource Processing Research Institute of Australia (BioPRIA), Department of Chemical Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Maisha Maliha
- Bioresource Processing Research Institute of Australia (BioPRIA), Department of Chemical Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Mostafa Dehghani
- Bioresource Processing Research Institute of Australia (BioPRIA), Department of Chemical Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - George P Simon
- Department of Materials Science and Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Warren Batchelor
- Bioresource Processing Research Institute of Australia (BioPRIA), Department of Chemical Engineering, Monash University, Clayton, Victoria 3800, Australia
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Fathy J, Lai Y. A V-Shaped Microcantilever Sensor Based on a Gap Method for Real-Time Detection of E. coli Bacteria. BIOSENSORS 2022; 12:bios12040194. [PMID: 35448254 PMCID: PMC9025198 DOI: 10.3390/bios12040194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 03/21/2022] [Accepted: 03/23/2022] [Indexed: 11/16/2022]
Abstract
This paper presents a dynamic-mode microcantilever sensor based on a gap method. The sensor has a V-shaped microcantilever and a fixed structure at a distance of 2 µm from its free end. The microcantilever is excited by applying an ac electric potential (3 Vp) to its piezoelectric pads and vibrates at its fundamental resonant frequency. An independent ac electric potential (200 kHz, 15 Vpp) is applied to the fixed structure. This creates a non-uniform electric field with its maxima at the gap and exerts a dielectrophoresis (DEP) force. The DEP force attracts and adsorbs the E. coli bacteria to the cantilever edge at the gap. The binding of the bacteria to the cantilever creates a shift in the resonant frequency of the microcantilever sensor, which is detected by a laser vibrometer. The real-time detection of E. coli bacteria samples, diluted in distilled water, was performed for concentrations of 105–103 cells/mL and the real-time frequency shifts were −2264.3 to −755 Hz in 4 min, respectively. The tests were expanded to study the effect of the electric potential amplitude (10, 12, 15 Vpp) and higher frequency shifts were observed for higher amplitudes.
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Yu XW, Liu X, Jiang YW, Li YH, Gao G, Zhu YX, Lin F, Wu FG. Rose Bengal-Derived Ultrabright Sulfur-Doped Carbon Dots for Fast Discrimination between Live and Dead Cells. Anal Chem 2022; 94:4243-4251. [PMID: 35235297 DOI: 10.1021/acs.analchem.1c04658] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The discrimination between dead and live cells is crucial for cell viability evaluation. Carbon dots (CDs), with advantages like simple and cost-effective synthesis, excellent biocompatibility, and high photostability, have shown potential for realizing selective live/dead cell staining. However, most of the developed CDs with the live/dead cell discrimination capacity usually have low photoluminescence quantum yields (PLQYs) and excitation wavelength-dependent fluorescence emission (which can cause fluorescence overlap with other fluorescent probes and make dual-color live/dead staining impossible), and hence, developing ultrabright CDs with excitation wavelength-independent fluorescence emission property for live/dead cell discrimination becomes an important task. Here, using a one-pot hydrothermal method, we prepared ultrasmall (∼1.6 nm), ultrabright (PLQY: ∼78%), and excitation wavelength-independent sulfur-doped carbon dots (termed S-CDs) using rose bengal and 1,4-dimercaptobenzene as raw materials and demonstrated that the S-CDs could rapidly (∼5 min) and accurately distinguish dead cells from live ones for almost all the cell types including bacterial, fungal, and animal cells in a wash-free manner. We confirmed that the S-CDs could rapidly pass through the dead cell surfaces to enter the interior of the dead cells, thus visualizing these dead cells. In contrast, the S-CDs could not enter the interior of live cells and thus could not stain these live cells. We further verified that the S-CDs presented better biocompatibility and higher photostability than the commercial live/dead staining dye propidium iodide, ensuring its bright application prospect in cell imaging and cell viability assessment. Overall, this work develops a type of CDs capable of realizing the live/dead cell discrimination of almost all the cell types (bacterial, fungal, and animal cells), which has seldom been achieved by other fluorescent nanoprobes.
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Affiliation(s)
- Xin-Wang Yu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, 2 Sipailou Road, Nanjing 210096, P. R. China
| | - Xiaoyang Liu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, 2 Sipailou Road, Nanjing 210096, P. R. China
| | - Yao-Wen Jiang
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, 2 Sipailou Road, Nanjing 210096, P. R. China
| | - Yan-Hong Li
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, 2 Sipailou Road, Nanjing 210096, P. R. China
| | - Ge Gao
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, 2 Sipailou Road, Nanjing 210096, P. R. China
| | - Ya-Xuan Zhu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, 2 Sipailou Road, Nanjing 210096, P. R. China
| | - Fengming Lin
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, 2 Sipailou Road, Nanjing 210096, P. R. China
| | - Fu-Gen Wu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, 2 Sipailou Road, Nanjing 210096, P. R. China
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Bashir S, Ali S, Nawaz H, Majeed MI, Mohsin M, Nawaz A, Rashid N, Tahir F, Haq AU, Saleem M, Nawaz MZ, Shahzad K. Characterization of Tigecycline-Sensitive and Tigecycline-Resistant Escherichia coli by Surface-Enhanced Raman Spectroscopy (SERS) and Chemometrics. ANAL LETT 2022. [DOI: 10.1080/00032719.2022.2030349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Saba Bashir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Saqib Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | | | - Mashkoor Mohsin
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Ali Nawaz
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad, Pakistan
| | - Fatima Tahir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Anwar ul Haq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Mudassar Saleem
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | | | - Kashif Shahzad
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
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Chen KH, Lee SH, Kok LC, Ishdorj TO, Chang HY, Tseng FG. A 3D-ACEK/SERS system for highly efficient and selectable electrokinetic bacteria concentration/detection/ antibiotic-susceptibility-test on whole blood. Biosens Bioelectron 2022; 197:113740. [PMID: 34785491 DOI: 10.1016/j.bios.2021.113740] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 09/22/2021] [Accepted: 10/25/2021] [Indexed: 11/18/2022]
Abstract
This study demonstrates a novel multi-functional microfluidic system, designated three dimensional Alternative Current Electrokinetic/Surface Enhanced Raman Scattering (3D-ACEK/SERS), which can concentrate bacteria from whole blood, identify bacterial species, and determine antibiotic susceptibilities of the bacteria rapidly. The system consists of a hybrid electrokinetic mechanism, integrating AC-electroosmosis (AC-EO) and dielectrophoresis (DEP) that allows thousand-fold concentration of bacteria, including S. aureus, Escherichia coli, and Chryseobacterium indologenes, in the center of an electrode with a wide range of working distance (hundreds to thousands of μm), while exclusion of blood cells through negative DEP forces. This microchip employs SERS assay to determine the identity of the concentrated bacteria in approximately 2 min with a limit of detection of 3 CFU/ml, 5 orders of magnitude lower than that using standard centrifugation-purification process. Finally, label-free antibiotic susceptibility testing has been successfully demonstrated on the platform using both antibiotic-sensitive and multidrug-resistant bacterial strains illustrating a potential utility of the system to clinical applications.
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Affiliation(s)
- Kuan-Hung Chen
- Institute of NanoEngineering and MicroSystem, National Tsing Hua University, HsinChu, Taiwan
| | - Shih-Han Lee
- Department of Engineering and System Science, Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsin Chu, Taiwan
| | - Li-Ching Kok
- Institute of Molecular Medicine, National Tsing Hua University, HsinChu, Taiwan
| | - Tseren-Onolt Ishdorj
- School of Information and Communication Technology, Mongolian University of Science and Technology, Ulaanbaatar, Mongolia
| | - Hwan-You Chang
- Institute of Molecular Medicine, National Tsing Hua University, HsinChu, Taiwan
| | - Fan-Gang Tseng
- Institute of NanoEngineering and MicroSystem, National Tsing Hua University, HsinChu, Taiwan; Department of Engineering and System Science, Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsin Chu, Taiwan; Research Center for Applied Sciences, Academia Sinica, Taipei, Taiwan.
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Sportelli MC, Kranz C, Mizaikoff B, Cioffi N. Recent advances on the spectroscopic characterization of microbial biofilms: A critical review. Anal Chim Acta 2022; 1195:339433. [DOI: 10.1016/j.aca.2022.339433] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 12/30/2021] [Accepted: 01/02/2022] [Indexed: 02/07/2023]
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Hassanain WA, Johnson CL, Faulds K, Graham D, Keegan N. Recent advances in antibiotic resistance diagnosis using SERS: focus on the “ Big 5” challenges. Analyst 2022; 147:4674-4700. [DOI: 10.1039/d2an00703g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
SERS for antibiotic resistance diagnosis.
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Affiliation(s)
- Waleed A. Hassanain
- Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, G1 1RD, UK
| | - Christopher L. Johnson
- Translational and Clinical Research Institute, Newcastle University, Newcastle-Upon-Tyne, NE2 4HH, UK
| | - Karen Faulds
- Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, G1 1RD, UK
| | - Duncan Graham
- Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, G1 1RD, UK
| | - Neil Keegan
- Translational and Clinical Research Institute, Newcastle University, Newcastle-Upon-Tyne, NE2 4HH, UK
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30
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Chuesiang P, Ryu V, Siripatrawan U, McLandsborough L, He L. Investigation of factors that impact the label-free surface-enhanced Raman scattering (SERS) for the detection and discrimination of Salmonella Enteritidis. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2021.111962] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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31
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Ren Q, Wei F, Yuan C, Zhu C, Zhang Q, Quan J, Sun X, Zheng S. The effects of removing dead bacteria by propidium monoazide on the profile of salivary microbiome. BMC Oral Health 2021; 21:460. [PMID: 34551743 PMCID: PMC8456568 DOI: 10.1186/s12903-021-01832-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 09/16/2021] [Indexed: 12/22/2022] Open
Abstract
Background Oral microbiome played an important role in maintaining healthy state and might exhibit certain changes under circumstances of diseases. However, current microbiological research using sequencing techniques did not regard dead bacteria as a separate part, causing findings based on subsequent analyses on dynamic equilibrium and functional pathways of microbes somewhat questionable. Since treatment by propidium monoazide (PMA) was able to remove dead bacteria effectively, it would be worth studying how the sequencing results after PMA treatment differed from those focusing on the whole microbiota. Methods Unstimulated whole saliva samples were obtained from 18 healthy people from 3 age groups (children, adults, and the elderly). After removal of dead bacteria by propidium monoazide (PMA), changes in the profile of salivary microbiome were detected using 16S rRNA sequencing technology, and differences among age groups were compared subsequently. Results Dead bacteria accounted for nearly a half of the whole bacteria flora in saliva, while freezing had little effect on the proportion of deaths. After treatment with PMA, the numbers of OTUs reduced by 4.4–14.2%, while the Shannon diversity indices decreased significantly (P < 0.01). Only 35.2% of positive and 6.1% of negative correlations were found to be shared by the whole microbiota and that with dead bacteria removed. Differences in significantly changed OTUs and functional pathways among different age groups were also observed between the group of PMA and the control. Conclusions It was necessary to take the influence of living state of bacteria into account in analytic studies of salivary microbiome. Supplementary Information The online version contains supplementary material available at 10.1186/s12903-021-01832-5.
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Affiliation(s)
- Qidi Ren
- Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing, People's Republic of China
| | - Fangqiao Wei
- Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing, People's Republic of China
| | - Chao Yuan
- Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing, People's Republic of China
| | - Ce Zhu
- Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing, People's Republic of China.,Department of Preventive Dentistry, Shanghai Jiao Tong University School of Dentistry, Shanghai Ninth People's Hospital, Shanghai, People's Republic of China
| | - Qian Zhang
- Central Laboratory, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing, People's Republic of China
| | - Junkang Quan
- Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing, People's Republic of China
| | - Xiangyu Sun
- Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing, People's Republic of China.
| | - Shuguo Zheng
- Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing, People's Republic of China.
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Nene A, Galluzzi M, Hongrong L, Somani P, Ramakrishna S, Yu XF. Synthetic preparations and atomic scale engineering of silver nanoparticles for biomedical applications. NANOSCALE 2021; 13:13923-13942. [PMID: 34477675 DOI: 10.1039/d1nr01851e] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Owing to their peculiar oxidative effect, silver cations (Ag+) are well known for their antimicrobial properties and explored as therapeutic agents for biomedical applications. Size control with improved dispersion and stability are the key factors of Ag NPs (silver nanoparticles) to be used in biomedical applications. Silver based nano-materials are highly efficient due to their biological, chemical and physical properties in comparison with bulk silver. Atomic scale fabrication is achieved by rearranging the internal components of a material, in turn, influencing the mechanical, electrical, magnetic, thermal and chemical properties. For instance, size and shape have a strong impact on the optical, thermal and catalytic properties of Ag NPs. Such properties can be tuned by controlling the surface/volume ratio of Ag nanostructures with a small size (ideally <100 nm), in turn showing peculiar biological activity different from that of bulk silver. Silver nanomaterials such as nanoparticles, thin films and nanorods can be synthesized by various physical, chemical and biological methods whose most recent implementations will be described in this review. By controlling the structure-functionality relationship, silver based nano-materials have high potential for commercialization in biomedical applications. Antimicrobial, antifungal, antiviral, and anti-inflammatory Ag NPs can be applied in several fields such as pharmaceutics, sensors, coatings, cosmetics, wound healing, bio-labelling agents, antiviral drugs, and packaging.
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Affiliation(s)
- Ajinkya Nene
- Materials Interfaces Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, Guangdong, China.
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Qiu P, Yuan P, Deng Z, Su Z, Bai Y, He J. One-pot facile synthesis of enzyme-encapsulated Zn/Co-infinite coordination polymer nanospheres as a biocatalytic cascade platform for colorimetric monitoring of bacteria viability. Mikrochim Acta 2021; 188:322. [PMID: 34487260 DOI: 10.1007/s00604-021-04981-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 08/09/2021] [Indexed: 12/27/2022]
Abstract
A rapid method for colorimetric monitoring of bacterial viability is described. The colorimetric method was carried out based on glucose oxidase-encapsulated Zn/Co-infinite coordination polymer (Zn/Co-ICP@GOx), which was prepared in aqueous solution free of toxic organic solvents at room temperature. The Zn/Co-ICP@GOx was confirmed to be a robust sphere structure with an average diameter of 147.53 ± 20.40 nm. It integrated the catalytic activity of natural enzyme (GOx) and mimetic peroxidase (Co (П)) all in one, efficiently acting as a biocatalytic cascade platform for glucose catalytic reaction. Exhibiting good multi-enzyme catalytic activity, stability, and selectivity, Zn/Co-ICP@GOx can be used for colorimetric glucose detection. The linear range was 0.01-1.0 mmol/L, and the limit of detection (LOD) was 0.005 mmol/L. As the glucose metabolism is a common expression of bacteria, the remaining glucose can indirectly represent the bacterial viability. Hence, a Zn/Co-ICP@GOx-based colorimetric method was developed for monitoring of bacterial viability. The color was intuitively observed with the naked eye, and the bacterial viability was accurately quantified by measurement of the absorbance at 510 nm. The method was applied to determination of bacterial viability in water and milk samples with recoveries of 99.0-103% and RSD of 0.43-7.5%. The method was rapid (less than 40 min) and applicable to different bacterial species irrespective of Gram-positive and Gram-negative bacteria, providing a universal and promising strategy for real-time monitoring of bacterial viability.
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Affiliation(s)
- Peipei Qiu
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, 510310, China
| | - Ping Yuan
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, 510310, China
| | - Zhichen Deng
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, 510310, China
| | - Zhengquan Su
- Guangdong Engineering Research Center of Natural Products and New Drugs, Guangdong Provincial University Engineering Technology Research Center of Natural Products and Drugs, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Yan Bai
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, 510310, China.
| | - Jincan He
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, 510310, China.
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Bashir S, Nawaz H, Irfan Majeed M, Mohsin M, Nawaz A, Rashid N, Batool F, Akbar S, Abubakar M, Ahmad S, Ali S, Kashif M. Surface-enhanced Raman spectroscopy for the identification of tigecycline-resistant E. coli strains. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 258:119831. [PMID: 33957452 DOI: 10.1016/j.saa.2021.119831] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 04/09/2021] [Accepted: 04/10/2021] [Indexed: 06/12/2023]
Abstract
Tigecycline (TGC) is recognised as last resort of drugs against several antibiotic-resistant bacteria. Bacterial resistance to tigecycline due to presence of plasmid-mediated mobile TGC resistance genes (tet X3/X4) has broken another defense line. Therefore, rapid and reproducible detection of tigecycline-resistant E. coli (TREC) is required. The current study is designed for the identification and differentiation of TREC from tigecycline-sensitive E. coli (TSEC) by employing SERS by using Ag NPs as a SERS substrate. The SERS spectral fingerprints of E. coli strains associated directly or indirectly with the development of resistance against tigecycline have been distinguished by comparing SERS spectral data of TSEC strains with each TREC strain. Moreover, the statistical analysis including Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA) and Partial Least Squares-Discriminant Analysis (PLS-DA) were employed to check the diagnostic potential of SERS for the differentiation among TREC and TSEC strains. The qualitative identification and differentiation between resistant and sensitive strains and among individual strains have been efficiently done by performing both PCA and HCA. The successful discrimination among TREC and TSEC at the strain level is performed by PLS-DA with 98% area under ROC curve, 100% sensitivity, 98.7% specificity and 100% accuracy.
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Affiliation(s)
- Saba Bashir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan.
| | - Mashkoor Mohsin
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan.
| | - Ali Nawaz
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Nosheen Rashid
- Department of Chemistry, University of Central Punjab, Faisalabad Campus, Faisalabad, Pakistan
| | - Fatima Batool
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Saba Akbar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Muhammad Abubakar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Shamsheer Ahmad
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Saqib Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Muhammad Kashif
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
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Trends in the bacterial recognition patterns used in surface enhanced Raman spectroscopy. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116310] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Tahir MA, Dina NE, Cheng H, Valev VK, Zhang L. Surface-enhanced Raman spectroscopy for bioanalysis and diagnosis. NANOSCALE 2021; 13:11593-11634. [PMID: 34231627 DOI: 10.1039/d1nr00708d] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
In recent years, bioanalytical surface-enhanced Raman spectroscopy (SERS) has blossomed into a fast-growing research area. Owing to its high sensitivity and outstanding multiplexing ability, SERS is an effective analytical technique that has excellent potential in bioanalysis and diagnosis, as demonstrated by its increasing applications in vivo. SERS allows the rapid detection of molecular species based on direct and indirect strategies. Because it benefits from the tunable surface properties of nanostructures, it finds a broad range of applications with clinical relevance, such as biological sensing, drug delivery and live cell imaging assays. Of particular interest are early-stage-cancer detection and the fast detection of pathogens. Here, we present a comprehensive survey of SERS-based assays, from basic considerations to bioanalytical applications. Our main focus is on SERS-based pathogen detection methods as point-of-care solutions for early bacterial infection detection and chronic disease diagnosis. Additionally, various promising in vivo applications of SERS are surveyed. Furthermore, we provide a brief outlook of recent endeavours and we discuss future prospects and limitations for SERS, as a reliable approach for rapid and sensitive bioanalysis and diagnosis.
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Affiliation(s)
- Muhammad Ali Tahir
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai, 200433, Peoples' Republic of China.
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Tahira M, Nawaz H, Majeed MI, Rashid N, Tabbasum S, Abubakar M, Ahmad S, Akbar S, Bashir S, Kashif M, Ali S, Hyat H. Surface-enhanced Raman spectroscopy analysis of serum samples of typhoid patients of different stages. Photodiagnosis Photodyn Ther 2021; 34:102329. [PMID: 33965602 DOI: 10.1016/j.pdpdt.2021.102329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 04/14/2021] [Accepted: 04/30/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND Surface-enhanced Raman spectroscopy (SERS) of body fluids is considered a quick, simple and easy to use method for the diagnosis of disease. OBJECTIVES To evaluate rapid, reliable, and non-destructive SERS-based diagnostic tool with multivariate data analysis including principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) for classification of different stages of typhoid on the basis of characteristic SERS spectral features. METHODS SERS has been used for analysis of serum samples of different stages of typhoid including early acute stage and late acute stage in comparison with healthy samples, in order to investigate capability of this technique for diagnosis of typhoid. SERS spectral features associated with the biochemical changes taking place during the development of the typhoid fever were analyzed and identified. RESULTS The value of area under the receiver operating characteristics (AUROC) for early acute stage versus healthy is 0.87 and that for healthy versus late acute stage is 0.52. PLS-DA classifier model gives values of 100 % for accuracy, sensitivity and specificity, respectively for the SERS spectral data sets of healthy versus early acute stage. Moreover, this classifier model gives values of 91 %, 89 % and 97 % for accuracy, sensitivity and specificity, respectively for the SERS spectral data sets of healthy versus late acute stage. CONCLUSIONS Based on preliminary work it is concluded that SERS has potential to diagnose various stages of typhoid fever including early acute and late acute stage in comparison with healthy samples.
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Affiliation(s)
- Maimoona Tahira
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan.
| | - Nosheen Rashid
- Department of Chemistry, University of Central Punjab, Faisalabad Campus, Faisalabad, Pakistan
| | - Shaheera Tabbasum
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Muhammad Abubakar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Shamsheer Ahmad
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Saba Akbar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Saba Bashir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Muhammad Kashif
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Saqib Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Hamza Hyat
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
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38
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Bashir S, Nawaz H, Majeed MI, Mohsin M, Abdullah S, Ali S, Rashid N, Kashif M, Batool F, Abubakar M, Ahmad S, Abdulraheem A. Rapid and sensitive discrimination among carbapenem resistant and susceptible E. coli strains using Surface Enhanced Raman Spectroscopy combined with chemometric tools. Photodiagnosis Photodyn Ther 2021; 34:102280. [PMID: 33823284 DOI: 10.1016/j.pdpdt.2021.102280] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 03/08/2021] [Accepted: 03/29/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND Raman spectroscopy is a powerful technique for the robust, reliable and rapid detection and discrimination of bacteria. OBJECTIVES To develop a rapid and sensitive technique based on surface-enhanced Raman spectroscopy (SERS) with multivariate data analysis tools for discrimination among carbapenem resistant and susceptible E. coli strains. METHODS SERS was employed to differentiate different strains of carbapenem resistant and susceptible E. coli by using silver nanoparticles (Ag NPs) as a SERS substrate. For this purpose, four strains of carbapenem resistant and three strains of carbapenem susceptible E. coli were analyzed by comparing their SERS spectral signatures. Furthermore, multivariate data analysis techniques including Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA) and Partial Least Squares-Discriminant Analysis (PLS-DA) were performed over the spectral range of 400-1800 cm-1 (fingerprint region) for the identification and differentiation of different E. coli strains. RESULTS The SERS spectral features associated with resistant development against carbapenem antibiotics were separated by comparing each spectrum of susceptible strains with each resistant strain. PCA and HCA were found effective for the qualitative differentiation of all the strains analysed. PLS-DA successfully discriminated the carbapenem resistant and susceptible E. coli pellets on the strain level with 99.8 % sensitivity, 100 % specificity, 100 % accuracy and 86 % area under receiver operating characteristic (AUROC) curve. CONCLUSION SERS can be employed for the rapid discrimination among carbapenem resistant and susceptible strains of E. coil.
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Affiliation(s)
- Saba Bashir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan.
| | - Mashkoor Mohsin
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan.
| | - Sabahat Abdullah
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Saqib Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Nosheen Rashid
- Department of Chemistry, University of Central Punjab, Faisalabad Campus, Faisalabad, Pakistan
| | - Muhammad Kashif
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Fatima Batool
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Muhammad Abubakar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Shamsheer Ahmad
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Aliza Abdulraheem
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
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39
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Mangini M, Verde A, Boraschi D, Puntes VF, Italiani P, De Luca AC. Interaction of nanoparticles with endotoxin Importance in nanosafety testing and exploitation for endotoxin binding. Nanotoxicology 2021; 15:558-576. [PMID: 33784953 DOI: 10.1080/17435390.2021.1898690] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
The interaction between engineered nanoparticles and the bacterial lipopolysaccharide, or endotoxin, is an event that warrants attention. Endotoxin is one of the most potent stimulators of inflammation and immune reactions in human beings, and is a very common contaminant in research labs. In nanotoxicology and nanomedicine, the presence of endotoxin on the nanoparticle surface affects their biological properties leading to misinterpretation of results. This review discusses the importance of detecting the endotoxin contamination on nanoparticles, focusing on the current method of endotoxin detection and their suitability for nanoparticulate materials. Conversely, the capacity of nanoparticles to bind endotoxin can be enhanced by functionalization with endotoxin-capturing molecules, opening the way to the development of novel endotoxin detection assays.
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Affiliation(s)
- Maria Mangini
- Laboratory of Biophotonics and Advanced Microscopy, Institute of Biochemistry and Cell Biology (IBBC), National Research Council (CNR), Napoli, Italy
| | - Alessandro Verde
- Laboratory of Biophotonics and Advanced Microscopy, Institute of Biochemistry and Cell Biology (IBBC), National Research Council (CNR), Napoli, Italy
| | - Diana Boraschi
- Laboratory of Innate Immunity, Inflammation and Immuno-nanosafety, IBBC-CNR, Napoli, Italy
| | - Victor F Puntes
- Catalan Institute of Nanoscience and Nanotechnology (ICN2), Barcelona, Spain.,Vall d'Hebron Institut de Recerca (VHIR), Barcelona, Spain.,Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Paola Italiani
- Laboratory of Innate Immunity, Inflammation and Immuno-nanosafety, IBBC-CNR, Napoli, Italy
| | - Anna Chiara De Luca
- Laboratory of Biophotonics and Advanced Microscopy, Institute of Biochemistry and Cell Biology (IBBC), National Research Council (CNR), Napoli, Italy
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40
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Dina NE, Gherman AMR, Colniță A, Marconi D, Sârbu C. Fuzzy characterization and classification of bacteria species detected at single-cell level by surface-enhanced Raman scattering. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 247:119149. [PMID: 33188974 DOI: 10.1016/j.saa.2020.119149] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 10/08/2020] [Accepted: 10/26/2020] [Indexed: 06/11/2023]
Abstract
Advanced chemometric methods, such as fuzzy c-means, a semi-supervised clustering method, and fuzzy linear discriminant analysis (FLDA), a new robust supervised classification method in combination with principal component analysis (PCA), namely PCA-FLDA, have been successfully applied for characterization and classification of bacterial species detected at single-cell level by surface-enhanced Raman scattering (SERS) spectroscopy. SERS spectra of three species (S. aureus, E. faecalis and P. aeruginosa) were recorded in an original fashion, using in situ laser induced silver spot as metallic substrate. The detection process of bacteria was isolated inside a hermetically sealed in-house built microfluidic device, connected to a syringe pump for injecting the analytes and a portable Raman spectrometer as detection tool. The obtained results (fuzzy partitions) and spectra of the prototypes (robust fuzzy spectra mean corresponding to each fuzzy partition) clearly demonstrated the efficiency and information power of the advanced fuzzy methods in bacteria characterization and classification based on SERS spectra, and allowed a rationale assigning to a specific group. Also, this powerful detection and classification methodology generates the premises for future investigations of Raman and other spectroscopic data obtained for various samples.
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Affiliation(s)
- Nicoleta Elena Dina
- Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 400293 Cluj-Napoca, Romania.
| | - Ana Maria Raluca Gherman
- Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 400293 Cluj-Napoca, Romania; Faculty of Physics, Babeş-Bolyai University, 400084 Cluj-Napoca, Romania
| | - Alia Colniță
- Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 400293 Cluj-Napoca, Romania.
| | - Daniel Marconi
- Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 400293 Cluj-Napoca, Romania
| | - Costel Sârbu
- Faculty of Chemistry and Chemical Engineering, Babeş-Bolyai University, 400028 Cluj-Napoca, Romania
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41
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Wang P, Sun Y, Li X, Wang L, Xu Y, He L, Li G. Recent advances in dual recognition based surface enhanced Raman scattering for pathogenic bacteria detection: A review. Anal Chim Acta 2021; 1157:338279. [PMID: 33832584 DOI: 10.1016/j.aca.2021.338279] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 01/28/2021] [Accepted: 01/29/2021] [Indexed: 12/16/2022]
Abstract
Rapid and reliable detection of pathogenic bacteria at the early stage represents a highly topical research area for food safety and public health. Although culture based method is the gold standard method for bacteria detection, recent techniques have promoted the development of alternative methods, such as surface enhanced Raman scattering (SERS). SERS provides additional advantages of high speed, simultaneous detection and characterization, multiplex analysis, and comparatively low cost. However, conventional SERS methods for bacteria detection are facing limitations of low sensitivity, susceptible to matrix interference, and poor accuracy. In recent years, specific detection of pathogenic bacteria with dual recognition based SERS methods has attracted increasing attentions. These methods include two steps recognition of target bacteria, and integrate the functions of target separation and detection. Considering their merits of excellent specificity, ultrahigh sensitivity, multiplex detection capability, and potential for on-site applications, these methods are promising alternatives for rapid and reliable detection of pathogenic bacteria. Herein, this review aims to summarize the recent advances in dual recognition based SERS methods for specific detection of pathogenic bacteria. Their advantages and limitations are discussed, and further perspectives are tentatively given. This review provides new insights into the application of SERS as a reliable tool for pathogenic bacteria detection.
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Affiliation(s)
- Panxue Wang
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Yan Sun
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Xiang Li
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Li Wang
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Ying Xu
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Lili He
- Department of Food Science, University of Massachusetts Amherst, 102 Holdsworth Way, MA, 01003, USA
| | - Guoliang Li
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China.
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42
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Confield LR, Black GP, Wilson BC, Lowe DJ, Theakstone AG, Baker MJ. Vibrational spectroscopic analysis of blood for diagnosis of infections and sepsis: a review of requirements for a rapid diagnostic test. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:157-168. [PMID: 33284291 DOI: 10.1039/d0ay01991g] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Infections and sepsis represent a growing global burden. There is a widespread clinical need for a rapid, high-throughput and sensitive technique for the diagnosis of infections and detection of invading pathogens and the presence of sepsis. Current diagnostic methods primarily consist of laboratory-based haematology, biochemistry and microbiology that are time consuming, labour- and resource-intensive, and prone to both false positive and false negative results. Current methods are insufficient for the increasing demands on healthcare systems, causing delays in diagnosis and initiation of treatment, due to the intrinsic time delay in sample preparation, measurement, and analysis. Vibrational spectroscopic techniques can overcome these limitations by providing a rapid, label-free and low-cost method for blood analysis, with limited sample preparation required, potentially revolutionising clinical diagnostics by producing actionable results that enable early diagnosis, leading to improved patient outcomes. This review will discuss the challenges associated with the diagnosis of infections and sepsis, primarily within the UK healthcare system. We will consider the clinical potential of spectroscopic point-of-care technologies to enable blood analysis in the primary-care setting.
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Affiliation(s)
- L R Confield
- CDT Medical Devices, Department of Biomedical Engineering, Wolfson Centre, 106 Rottenrow, G4 0NW, UK
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43
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Andrei CC, Moraillon A, Larquet E, Potara M, Astilean S, Jakab E, Bouckaert J, Rosselle L, Skandrani N, Boukherroub R, Ozanam F, Szunerits S, Gouget-Laemmel AC. SERS characterization of aggregated and isolated bacteria deposited on silver-based substrates. Anal Bioanal Chem 2021; 413:1417-1428. [PMID: 33388848 DOI: 10.1007/s00216-020-03106-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 11/27/2020] [Accepted: 12/01/2020] [Indexed: 12/11/2022]
Abstract
Surface-enhanced Raman scattering (SERS), based on the enhancement of the Raman signal of molecules positioned within a few nanometres from a structured metal surface, is ideally suited to provide bacterial-specific molecular fingerprints which can be used for analytical purposes. However, for some complex structures such as bacteria, the generation of reproducible SERS spectra is still a challenging task. Among the various factors influencing the SERS variability (such as the nature of SERS-active substrate, Raman parameters and bacterial specificity), we demonstrate in this study that the environment of Gram-positive and Gram-negative bacteria deposited on ultra-thin silver films also impacts the origin of the SERS spectra. In the case of densely packed bacteria, the obtained SERS signatures were either characteristic of the secretion of adenosine triphosphate for Staphylococcus aureus (S. aureus) or the cell wall and the pili/flagella for Escherichia coli (E. coli), allowing for an easy discrimination between the various strains. In the case of isolated bacteria, SERS mapping together with principal component analysis revealed some variabilities of the spectra as a function of the bacteria environment and the bactericidal effect of the silver. However, the variability does not preclude the SERS signatures of various E. coli strains to be discriminated.
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Affiliation(s)
- Cristina-Cassiana Andrei
- Laboratoire de Physique de la Matière Condensée, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91120, Palaiseau, France
| | - Anne Moraillon
- Laboratoire de Physique de la Matière Condensée, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91120, Palaiseau, France
| | - Eric Larquet
- Laboratoire de Physique de la Matière Condensée, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91120, Palaiseau, France
| | - Monica Potara
- Nanobiophotonics and Laser Microspectroscopy Center, Interdisciplinary Research Institute in Bio-Nano-Sciences, Babes-Bolyai University, T. Laurian Str. 42, 400271, Cluj-Napoca, Romania
| | - Simion Astilean
- Nanobiophotonics and Laser Microspectroscopy Center, Interdisciplinary Research Institute in Bio-Nano-Sciences, Babes-Bolyai University, T. Laurian Str. 42, 400271, Cluj-Napoca, Romania.,Department of Biomolecular Physics, Faculty of Physics, Babes-Bolyai University, M Kogalniceanu Str. 1, 400084, Cluj-Napoca, Romania
| | - Endre Jakab
- Hungarian Department of Biology and Ecology, Faculty of Biology and Geology, Babes-Bolyai University, Clinicilor 5-7, 400006, Cluj-Napoca, Romania.,Molecular Biology Center, Interdisciplinary Research Institute in Bio-Nano-Sciences, Babes-Bolyai University, T. Laurian Str. 42, 400271, Cluj-Napoca, Romania
| | - Julie Bouckaert
- Unité de Glycobiologie Structurale et Fonctionnelle (UGSF), UMR 8576 of the CNRS, University of Lille, 50 avenue de Halley, 59658, Villeneuve-d'Ascq, France
| | - Léa Rosselle
- TissueAegis SAS, 14E rue Pierre de Coubertin, 21000, Dijon, France.,University of Lille, CNRS, Centrale Lille, University of Polytechnique Hauts-de-France, UMR 8520 - IEMN, F-59000, Lille, France
| | - Nadia Skandrani
- TissueAegis SAS, 14E rue Pierre de Coubertin, 21000, Dijon, France
| | - Rabah Boukherroub
- University of Lille, CNRS, Centrale Lille, University of Polytechnique Hauts-de-France, UMR 8520 - IEMN, F-59000, Lille, France
| | - François Ozanam
- Laboratoire de Physique de la Matière Condensée, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91120, Palaiseau, France
| | - Sabine Szunerits
- University of Lille, CNRS, Centrale Lille, University of Polytechnique Hauts-de-France, UMR 8520 - IEMN, F-59000, Lille, France.
| | - Anne Chantal Gouget-Laemmel
- Laboratoire de Physique de la Matière Condensée, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91120, Palaiseau, France.
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AlMasoud N, Muhamadali H, Chisanga M, AlRabiah H, Lima CA, Goodacre R. Discrimination of bacteria using whole organism fingerprinting: the utility of modern physicochemical techniques for bacterial typing. Analyst 2021; 146:770-788. [DOI: 10.1039/d0an01482f] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
This review compares and contrasts MALDI-MS, FT-IR spectroscopy and Raman spectroscopy for whole organism fingerprinting and bacterial typing.
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Affiliation(s)
- Najla AlMasoud
- Department of Chemistry
- College of Science
- Princess Nourah bint Abdulrahman University
- Riyadh 11671
- Saudi Arabia
| | - Howbeer Muhamadali
- Department of Biochemistry and Systems Biology
- Institute of Systems
- Molecular and Integrative Biology
- University of Liverpool
- Liverpool L69 7ZB
| | - Malama Chisanga
- School of Chemistry and Manchester Institute of Biotechnology
- University of Manchester
- Manchester
- UK
| | - Haitham AlRabiah
- Department of Pharmaceutical Chemistry
- College of Pharmacy
- King Saud University
- Riyadh
- Saudi Arabia
| | - Cassio A. Lima
- Department of Biochemistry and Systems Biology
- Institute of Systems
- Molecular and Integrative Biology
- University of Liverpool
- Liverpool L69 7ZB
| | - Royston Goodacre
- Department of Biochemistry and Systems Biology
- Institute of Systems
- Molecular and Integrative Biology
- University of Liverpool
- Liverpool L69 7ZB
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45
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Zhou X, Hu Z, Yang D, Xie S, Jiang Z, Niessner R, Haisch C, Zhou H, Sun P. Bacteria Detection: From Powerful SERS to Its Advanced Compatible Techniques. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2020; 7:2001739. [PMID: 33304748 PMCID: PMC7710000 DOI: 10.1002/advs.202001739] [Citation(s) in RCA: 101] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/24/2020] [Indexed: 05/13/2023]
Abstract
The rapid, highly sensitive, and accurate detection of bacteria is the focus of various fields, especially food safety and public health. Surface-enhanced Raman spectroscopy (SERS), with the advantages of being fast, sensitive, and nondestructive, can be used to directly obtain molecular fingerprint information, as well as for the on-line qualitative analysis of multicomponent samples. It has therefore become an effective technique for bacterial detection. Within this progress report, advances in the detection of bacteria using SERS and other compatible techniques are discussed in order to summarize its development in recent years. First, the enhancement principle and mechanism of SERS technology are briefly overviewed. The second part is devoted to a label-free strategy for the detection of bacterial cells and bacterial metabolites. In this section, important considerations that must be made to improve bacterial SERS signals are discussed. Then, the label-based SERS strategy involves the design strategy of SERS tags, the immunomagnetic separation of SERS tags, and the capture of bacteria from solution and dye-labeled SERS primers. In the third part, several novel SERS compatible technologies and applications in clinical and food safety are introduced. In the final part, the results achieved are summarized and future perspectives are proposed.
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Affiliation(s)
- Xia Zhou
- College of PharmacyJinan UniversityGuangzhouGuangdong510632China
- Department of Oncologythe First Affiliated Hospital of Jinan UniversityGuangzhouGuangdong510632China
| | - Ziwei Hu
- College of PharmacyJinan UniversityGuangzhouGuangdong510632China
| | - Danting Yang
- Department of Preventative Medicine, Zhejiang Provincial Key Laboratory of Pathological and Physiological TechnologyMedical School of Ningbo UniversityNingboZhejiang315211China
| | - Shouxia Xie
- The Second Clinical Medical College (Shenzhen People's Hospital)Jinan UniversityShenzhenGuangdong518020China
| | - Zhengjin Jiang
- College of PharmacyJinan UniversityGuangzhouGuangdong510632China
| | - Reinhard Niessner
- Institute of Hydrochemistry and Chair for Analytical ChemistryTechnical University of MunichMarchioninistr. 17MunichD‐81377Germany
| | - Christoph Haisch
- Institute of Hydrochemistry and Chair for Analytical ChemistryTechnical University of MunichMarchioninistr. 17MunichD‐81377Germany
| | - Haibo Zhou
- College of PharmacyJinan UniversityGuangzhouGuangdong510632China
- Department of Oncologythe First Affiliated Hospital of Jinan UniversityGuangzhouGuangdong510632China
- The Second Clinical Medical College (Shenzhen People's Hospital)Jinan UniversityShenzhenGuangdong518020China
| | - Pinghua Sun
- College of PharmacyJinan UniversityGuangzhouGuangdong510632China
- Department of Oncologythe First Affiliated Hospital of Jinan UniversityGuangzhouGuangdong510632China
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46
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Jin L, Wang S, Cheng Y. A Raman spectroscopy analysis method for rapidly determining saccharides and its application to monitoring the extraction process of Wenxin granule manufacturing procedure. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 241:118603. [PMID: 32622050 DOI: 10.1016/j.saa.2020.118603] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Revised: 06/08/2020] [Accepted: 06/08/2020] [Indexed: 06/11/2023]
Abstract
Saccharides are the major constituents of many herbs, and they are often utilized as quality indicators of many botanical drugs, such as Chinese medicines. A method for the rapid determination of saccharides in the in-process extract solutions is beneficial for process monitoring and ensuring consistency in the quality of the end-products during the manufacturing of Chinese medicines. In this work, a method based on Raman spectroscopy and a competitive adaptive reweighted sampling-partial least squares (CARS-PLS) model was established for the rapid quantification of saccharides. The accuracy and precision of this method were confirmed by employing one monosaccharide (glucose), one oligosaccharide (maltotriose), and two polysaccharides (Codonopsis radix polysaccharides and Polygonati rhizome polysaccharides) as reference substances. The determined results correlated well with the reference values of the four substances with the coefficient of determination of prediction (Rp2) ≥ 0.9939 and the root-mean-square error of prediction (RMSEP) ≤ 1.1052 mg/mL. Then, the method was applied to monitoring the simulated extraction process for Wenxin granule manufacture using total saccharides as a quality indicator. The CARS-PLS model exhibited satisfactory fitting and predictive capability, with Rp2 and RMSEP values of 0.9743 and 1.4931 mg/mL, respectively. Our work demonstrated that Raman spectroscopy coupled with chemometrics can offer a reliable and nondestructive alternative for the determination of different types of saccharides, in addition to being useful for real-time monitoring of the extraction process during the manufacturing of Wenxin granules. The presented approach is expected to be applicable to other Chinese medicines.
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Affiliation(s)
- Lei Jin
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, PR China
| | - Shufang Wang
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, PR China.
| | - Yiyu Cheng
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, PR China.
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47
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Tadesse LF, Ho CS, Chen DH, Arami H, Banaei N, Gambhir SS, Jeffrey SS, Saleh AAE, Dionne J. Plasmonic and Electrostatic Interactions Enable Uniformly Enhanced Liquid Bacterial Surface-Enhanced Raman Scattering (SERS). NANO LETTERS 2020; 20:7655-7661. [PMID: 32914987 PMCID: PMC7564787 DOI: 10.1021/acs.nanolett.0c03189] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 09/10/2020] [Indexed: 05/27/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS) is a promising cellular identification and drug susceptibility testing platform, provided it can be performed in a controlled liquid environment that maintains cell viability. We investigate bacterial liquid-SERS, studying plasmonic and electrostatic interactions between gold nanorods and bacteria that enable uniformly enhanced SERS. We synthesize five nanorod sizes with longitudinal plasmon resonances ranging from 670 to 860 nm and characterize SERS signatures of Gram-negative Escherichia coli and Serratia marcescens and Gram-positive Staphylococcus aureus and Staphylococcus epidermidis bacteria in water. Varying the concentration of bacteria and nanorods, we achieve large-area SERS enhancement that is independent of nanorod resonance and bacteria type; however, bacteria with higher surface charge density exhibit significantly higher SERS signal. Using cryo-electron microscopy and zeta potential measurements, we show that the higher signal results from attraction between positively charged nanorods and negatively charged bacteria. Our robust liquid-SERS measurements provide a foundation for bacterial identification and drug testing in biological fluids.
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Affiliation(s)
- Loza F. Tadesse
- Department
of Bioengineering, Stanford University School
of Medicine and School of Engineering, Stanford, California 94305, United States
| | - Chi-Sing Ho
- Department
of Applied Physics, Stanford University, Stanford, California 94305, United States
- Department
of Materials Science and Engineering, Stanford
University School of Engineering, Stanford, California 94305, United States
| | - Dong-Hua Chen
- Department
of Structural Biology, Stanford University, Stanford, California 94305, United States
| | - Hamed Arami
- Department
of Radiology, Molecular Imaging Program
at Stanford (MIPS)Stanford University School of Medicine, Stanford, California 94305, United States
| | - Niaz Banaei
- Department
of Pathology, Stanford University School
of Medicine, Stanford, California 94305, United States
- Clinical
Microbiology Laboratory, Stanford Health
Care, Stanford, California 94305, United States
- Department
of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, California 94305, United States
| | - Sanjiv S. Gambhir
- Department
of Bioengineering, Stanford University School
of Medicine and School of Engineering, Stanford, California 94305, United States
- Department
of Materials Science and Engineering, Stanford
University School of Engineering, Stanford, California 94305, United States
- Department
of Radiology, Molecular Imaging Program
at Stanford (MIPS)Stanford University School of Medicine, Stanford, California 94305, United States
- Stanford
Neuroscience Institute, Stanford University, Stanford, California 94305, United States
| | - Stefanie S. Jeffrey
- Department
of Surgery Stanford University School of
Medicine, Stanford, California 94305, United States
| | - Amr A. E. Saleh
- Department
of Materials Science and Engineering, Stanford
University School of Engineering, Stanford, California 94305, United States
- Department
of Engineering Mathematics and Physics, Faculty of Engineering, Cairo University, Giza 12613, Egypt
| | - Jennifer Dionne
- Department
of Materials Science and Engineering, Stanford
University School of Engineering, Stanford, California 94305, United States
- Department
of Radiology, Molecular Imaging Program
at Stanford (MIPS)Stanford University School of Medicine, Stanford, California 94305, United States
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Yan Y, Nie Y, An L, Tang YQ, Xu Z, Wu XL. Improvement of Surface-Enhanced Raman Scattering Method for Single Bacterial Cell Analysis. Front Bioeng Biotechnol 2020; 8:573777. [PMID: 33042973 PMCID: PMC7527739 DOI: 10.3389/fbioe.2020.573777] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 08/25/2020] [Indexed: 12/26/2022] Open
Abstract
Surface-enhanced Raman scattering (SERS) is a useful tool for label-free analysis of bacteria at the single cell level. However, low reproducibility limits the use of SERS. In this study, for the sake of sensitive and reproducible Raman spectra, we optimized the methods for preparing silver nanoparticles (AgNPs) and depositing AgNPs onto a cell surface. We found that fast dropwise addition of AgNO3 into the reductant produced smaller and more stable AgNPs, with an average diameter of 45 ± 4 nm. Compared with that observed after simply mixing the bacterial cells with AgNPs, the SERS signal was significantly improved after centrifugation. To optimize the SERS enhancement method, the centrifugal force, method for preparing AgNPs, concentration of AgNPs, ionic strength of the solution used to suspend the cells, and density of the cells were chosen as impact factors and optimized through orthogonal experiments. Finally, the improved method could generate sensitive and reproducible SERS spectra from single Escherichia coli cells, and the SERS signals primarily arose from the cell envelope. We further verified that this optimal method was feasible for the detection of low to 25% incorporation of 13C isotopes by the cells and the discrimination of different bacterial species. Our work provides an improved method for generating sensitive and reproducible SERS spectra.
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Affiliation(s)
- Yingchun Yan
- Institute of New Energy and Low-carbon Technology, Sichuan University, Chengdu, China.,College of Engineering, Peking University, Beijing, China
| | - Yong Nie
- College of Engineering, Peking University, Beijing, China
| | - Liyun An
- Institute of New Energy and Low-carbon Technology, Sichuan University, Chengdu, China.,College of Engineering, Peking University, Beijing, China
| | - Yue-Qin Tang
- Institute of New Energy and Low-carbon Technology, Sichuan University, Chengdu, China
| | - Zimu Xu
- College of Engineering, Peking University, Beijing, China
| | - Xiao-Lei Wu
- College of Engineering, Peking University, Beijing, China.,Institute of Ocean Research, Peking University, Beijing, China
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Qi P, Wang Y, Zhang D, Sun Y, Zheng L. Multichannel bacterial discrimination based on recognition and disintegration disparity of short antimicrobial peptides. Anal Biochem 2020; 600:113764. [DOI: 10.1016/j.ab.2020.113764] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 04/17/2020] [Accepted: 04/27/2020] [Indexed: 12/14/2022]
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50
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Quantum Leap from Gold and Silver to Aluminum Nanoplasmonics for Enhanced Biomedical Applications. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10124210] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Nanotechnology has been used in many biosensing and medical applications, in the form of noble metal (gold and silver) nanoparticles and nanostructured substrates. However, the translational clinical and industrial applications still need improvements of the efficiency, selectivity, cost, toxicity, reproducibility, and morphological control at the nanoscale level. In this review, we highlight the recent progress that has been made in the replacement of expensive gold and silver metals with the less expensive aluminum. In addition to low cost, other advantages of the aluminum plasmonic nanostructures include a broad spectral range from deep UV to near IR, providing additional signal enhancement and treatment mechanisms. New synergistic treatments of bacterial infections, cancer, and coronaviruses are envisioned. Coupling with gain media and quantum optical effects improve the performance of the aluminum nanostructures beyond gold and silver.
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