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Si M, Wang Y, Mei R, Zhao X, Yuan Q, Fu L, Wu Y, Ostovan A, Arabi M, Wang S, Chen L. Metal-organic framework-based SERS chips enable in situ and sensitive detection of dissolved hydrogen sulfide in natural water: Towards a bring-back-chip mode for field analysis. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:136247. [PMID: 39447232 DOI: 10.1016/j.jhazmat.2024.136247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2024] [Revised: 10/20/2024] [Accepted: 10/21/2024] [Indexed: 10/26/2024]
Abstract
Hydrogen sulfide (H2S) in natural water plays an important role in carbon and sulfur cycles in biosphere. Current detection protocol is complicated, which need to "bring back water" to lab followed by gas chromatograph analysis. In situ, field detection is still challenging. Herein, a portable, sensitive surface enhanced Raman scattering (SERS) chip was proposed for in situ H2S sampling and SERS signal stabilizing, enabling a "bring back chip" manner for lab analysis. The SERS chip was composed of single core-shell gold nanorod-ZIF-8 framework (Au NR@ZIF-8) nanoparticle. Relying on headspace adsorption, evaporated H2S was enriched in the ZIF-8 shell and then reacted with Au NR, resulting in the weakening of the Au-Br bond Raman peak (175 cm-1) and the appearance of the Au-S bond Raman peak (273 cm-1). The SERS signal reached equilibrium in 10 min. The detection range of H2S was 0.1-2000 μg/L and limit of detection was 0.098 μg/L. SERS signal was not interfered by normal volatile gases. Moreover, SERS signal of a reacted chip was stable at an ambient condition, allowing for in situ sampling and bring-back detection. The applicability of the chip was verified by dynamic H2S monitoring during artificial black-odor water evolution, and in-field quantitative analysis of H2S content in river water and sediment. Finally, the chip was sealed in a waterproof breathable membrane device, which realized the detection of vertical profiles of H2S in the river. This work provided a promising tool for field analysis of H2S in natural environments.
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Affiliation(s)
- Meiyu Si
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai 264209, China
| | - Yunqing Wang
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 266071 Qingdao, China.
| | - Rongchao Mei
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
| | - Xizhen Zhao
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qi Yuan
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Longwen Fu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 266071 Qingdao, China
| | - Yixuan Wu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
| | - Abbas Ostovan
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
| | - Maryam Arabi
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
| | - Shanshan Wang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai 264209, China.
| | - Lingxin Chen
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 266071 Qingdao, China.
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2
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Bai X, Luo W, Zhou W, Chen W, Guo X, Shen A, Hu J. A sensitive SERS-based assay technique for accurate detection of foodborne pathogens without interference. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:7683-7688. [PMID: 39494559 DOI: 10.1039/d4ay01555j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2024]
Abstract
The accurate and sensitive detection of foodborne pathogens is critical for timely food quality supervision and human health. To address this issue, herein, we developed a simple and novel surface-enhanced Raman scattering (SERS) assay using p-mercaptobenzoic acid (MBN)-modified gold nanoparticles (Au NPs) and magnetic beads for interference-free detection of Escherichia coli (E. coli). This assay technique cleverly reduced silver ions (Ag+) on the surface of E. coli (bacteria@Ag NPs), and the functionalized magnetic beads (capture probes) captured and enriched bacteria@Ag NPs, forming the structure of the capture probes-bacteria@Ag NPs. Then, the capture probes-bacteria@Ag NPs were dissolved in the acidic medium, and the Ag NPs on the surface of E. coli was converted to Ag+ again. Due to the special coordination between Ag+ and MBN-modified Au NPs (functionalized Au NPs), the SERS intensity of MBN exhibited a positive correlation with the E. coli concentration, and the SERS detection assay of E. coli was established. The signal of the functionalized Au NPs located at 2228 cm-1 perfectly avoided the spectral overlap with coexisting materials in the Raman fingerprint region, which ensured the accuracy of the technique. The controlled aggregation of the functionalized Au NPs ensured the reproducibility and reliability of the detection system; the emergence of MBs greatly reduced the reaction time and made sure the operation was rapid, simple and portable. The limit of detection (LOD) for E. coli was as low as 10 cfu mL-1, and the detection assay was successfully applied for the detection of E. coli in bottled water and milk. As a sensitive and accurate analytical technique for the detection of pathogens, this SERS-based method has great potential to be applied in the field of food safety.
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Affiliation(s)
- Xiangru Bai
- School of Pharmacy, Xinyang Agriculture and Forestry University, Xinyang 464007, P.R. China.
| | - Wei Luo
- School of Pharmacy, Xinyang Agriculture and Forestry University, Xinyang 464007, P.R. China.
| | - Wenyu Zhou
- School of Pharmacy, Xinyang Agriculture and Forestry University, Xinyang 464007, P.R. China.
| | - Wei Chen
- School of Pharmacy, Xinyang Agriculture and Forestry University, Xinyang 464007, P.R. China.
| | - Xinling Guo
- School of Pharmacy, Xinyang Agriculture and Forestry University, Xinyang 464007, P.R. China.
| | - Aiguo Shen
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, P. R. China
| | - Jiming Hu
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, P. R. China
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3
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Man JN, Zhu J, Weng GJ, Li JJ, Zhao JW. Using gold-based nanomaterials for fighting pathogenic bacteria: from detection to therapy. Mikrochim Acta 2024; 191:627. [PMID: 39325115 DOI: 10.1007/s00604-024-06713-6] [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: 07/19/2024] [Accepted: 09/14/2024] [Indexed: 09/27/2024]
Abstract
Owing to the unique quantum size effect and surface effect, gold-based nanomaterials (GNMs) are promising for pathogen detection and broad-spectrum antimicrobial activity. This review summarizes recent research on GNMs as sensors for detecting pathogens and as tools for their elimination. Firstly, the need for pathogen detection is briefly introduced with an overview of the physicochemical properties of gold nanomaterials. And then strategies for the application of GNMs in pathogen detection are discussed. Colorimetric, fluorescence, surface-enhanced Raman scattering (SERS) techniques, dark-field microscopy detection and electrochemical methods can enable efficient, sensitive, and specific pathogen detection. The third section describes the antimicrobial applications of GNMs. They can be used for antimicrobial agent delivery and photothermal conversion and can act synergistically with photosensitizers to achieve the precise killing of pathogens. In addition, GNMs are promising for integrated pathogen detection and treatment; for example, combinations of colorimetric or SERS detection with photothermal sterilization have been demonstrated. Finally, future outlooks for the applications of GNMs in pathogen detection and treatment are summarized.
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Affiliation(s)
- Jia-Ni Man
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jian Zhu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China.
| | - Guo-Jun Weng
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jian-Jun Li
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jun-Wu Zhao
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
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4
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Chiu I, Ye H, Aayush K, Yang T. Intelligent food packaging for smart sensing of food safety. ADVANCES IN FOOD AND NUTRITION RESEARCH 2024; 111:215-259. [PMID: 39103214 DOI: 10.1016/bs.afnr.2024.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/07/2024]
Abstract
In this contemporary era, with over 8 billion people worldwide, ensuring food safety has become more critical than ever. To address this concern, the introduction of intelligent packaging marks a significant breakthrough. Essentially, this innovation tackles the challenge of rapid deterioration in perishable foods, which is vital to the well-being of communities and food safety. Unlike traditional methods that primarily emphasize shelf-life extension, intelligent packaging goes further by incorporating advanced sensing technologies to detect signs of spoilage and contamination in real-time, such as changes in temperature, oxygen levels, carbon dioxide levels, humidity, and the presence of harmful microorganisms. The innovation can rely on various packaging materials like plastics, metals, papers, or biodegradable polymers, combined with sophisticated sensing techniques such as colorimetric sensors, time-temperature indicators, radio-frequency identification tags, electronic noses, or biosensors. Together, these elements form a dynamic and tailored packaging system. This system not only protects food from spoilage but also offers stakeholders immediate and adequate information about food quality. Moreover, the real-world application on seafood, meat, dairy, fruits, and vegetables demonstrates the feasibility of using intelligent packaging to significantly enhance the safety and shelf life of a wide variety of perishable goods. By adopting intelligent packaging for smart sensing solutions, both the food industry and consumers can significantly reduce health risks linked with contamination and reduce unnecessary food waste. This underscores the crucial role of intelligent packaging in modern food safety and distribution systems, showcasing an effective fusion of technology, safety, and sustainability efforts aimed at nourishing a rapidly growing global population.
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Affiliation(s)
- Ivy Chiu
- Food, Nutrition and Health, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC, Canada
| | - Haoxin Ye
- Food, Nutrition and Health, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC, Canada
| | - Krishna Aayush
- Food, Nutrition and Health, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC, Canada
| | - Tianxi Yang
- Food, Nutrition and Health, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC, Canada.
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5
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Wang Y, Jing Y, Cao J, Sun Y, Guo K, Chen X, Li Z, Shi Q, Hu X. Application of Surface-Enhanced Raman Spectroscopy Combined with Immunoassay for the Detection of Adrenoceptor Agonists. Foods 2024; 13:1805. [PMID: 38928747 PMCID: PMC11202903 DOI: 10.3390/foods13121805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 06/05/2024] [Accepted: 06/06/2024] [Indexed: 06/28/2024] Open
Abstract
Rapid, sensitive, and accurate detection of adrenoceptor agonists is a significant research topic in the fields of food safety and public health. Immunoassays are among the most widely used methods for detecting adrenoceptor agonists. In recent years, surface-enhanced Raman spectroscopy combined with immunoassay (SERS-IA) has become an effective technique for improving detection sensitivity. This review focuses on the innovation of Raman reporter molecules and substrate materials for the SERS-IA of adrenoceptor agonists. In addition, it also investigates the challenges involved in potentially applying SERS-IA in the detection of adrenoceptor agonists. Overall, this review provides insight into the design and application of SERS-IA for the detection of adrenoceptor agonists, which is critical for animal-derived food safety and public health.
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Affiliation(s)
- Yao Wang
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Yubing Jing
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Jinbo Cao
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
- Henan Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Yingying Sun
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Kaitong Guo
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
- Henan Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Xiujin Chen
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Zhaozhou Li
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Qiaoqiao Shi
- School of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang 212100, China;
| | - Xiaofei Hu
- Henan Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
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6
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Sun Y, Cheng X, Yi Y, Quan K, Chen Q, Zhang K, Xu JJ. The Compact Integration of Multiple Exonuclease III-Assisted Cyclic Amplification Units for High-Efficiency Ratiometric Electrochemiluminescence Detection of MRSA. Anal Chem 2024; 96:943-948. [PMID: 38166359 DOI: 10.1021/acs.analchem.3c05410] [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: 01/04/2024]
Abstract
Methicillin-resistant Staphylococcus aureus (MRSA) exhibits multiresistance to a plethora of antibiotics, therefore, accurate detection methods must be employed for timely identification to facilitate effective infection control measures. Herein, we construct a high-efficiency ratiometric electrochemiluminescent (ECL) biosensor that integrates multiple exonuclease (Exo) III-assisted cyclic amplification units for rapid detection of trace amounts of MRSA. The target bacteria selectively bind to the aptamer, triggering the release of two single-stranded DNAs. One released DNA strand initiates the opening of a hairpin probe, inducing exonuclease cleavage to generate a single strand that can form a T-shaped structure with the double strand connecting the oxidation-reduction (O-R) emitter of N-(4-aminobutyl)-N-ethylisoluminol gold (ABEI-Au). Consequently, ABEI-Au is released upon Exo III cleavage. The other strand unwinds the hairpin DNA structure on the surface of the reduction-oxidation (R-O) emitter ZIF-8@CdS, facilitating the subsequent release of a specific single strand through Exo III cleavage. This process effectively anchors the cathode-emitting material to the electrode. The Fe(III) metal-organogel (Fe-MOG) is selected as a substrate, in which the catalytic reduction of hydrogen peroxide by Fe(III) active centers accelerates the generation of reactive oxygen species and enhances signals from both ABEI-Au and ZIF-8@CdS. In this way, the two emitters cooperate to achieve bacterial detection at the single-cell level, and a good linear range is obtained in the range of 100-107 CFU/mL. Moreover, the sensor exhibited excellent performance in detecting MRSA across various authentic samples and accurately quantifying MRSA levels in serum samples, demonstrating its immense potential in addressing clinical bacterial detection challenges.
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Affiliation(s)
- Yudie Sun
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Ma Xiang Road, Ma 'anshan, Anhui 243032, PR China
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, Qingdao University of Science and Technology, Qingdao 266042, PR China
| | - Xi Cheng
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Ma Xiang Road, Ma 'anshan, Anhui 243032, PR China
| | - Yang Yi
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Ma Xiang Road, Ma 'anshan, Anhui 243032, PR China
| | - Kehong Quan
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Ma Xiang Road, Ma 'anshan, Anhui 243032, PR China
| | - Qian Chen
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Ma Xiang Road, Ma 'anshan, Anhui 243032, PR China
| | - Kui Zhang
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Ma Xiang Road, Ma 'anshan, Anhui 243032, PR China
| | - Jing-Juan Xu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, PR China
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Ramachandran K, Daoudi K, Kacem HH, Columbus S, Benaoum H, Gaidi M. Rapid and ultra-sensitive detection of pork DNA with surface enhanced Raman spectroscopy for onsite food quality inspection. SENSING AND BIO-SENSING RESEARCH 2022. [DOI: 10.1016/j.sbsr.2022.100524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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8
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Plou J, Valera PS, García I, de Albuquerque CDL, Carracedo A, Liz-Marzán LM. Prospects of Surface-Enhanced Raman Spectroscopy for Biomarker Monitoring toward Precision Medicine. ACS PHOTONICS 2022; 9:333-350. [PMID: 35211644 PMCID: PMC8855429 DOI: 10.1021/acsphotonics.1c01934] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/21/2022] [Accepted: 01/24/2022] [Indexed: 05/14/2023]
Abstract
Future precision medicine will be undoubtedly sustained by the detection of validated biomarkers that enable a precise classification of patients based on their predicted disease risk, prognosis, and response to a specific treatment. Up to now, genomics, transcriptomics, and immunohistochemistry have been the main clinically amenable tools at hand for identifying key diagnostic, prognostic, and predictive biomarkers. However, other molecular strategies, including metabolomics, are still in their infancy and require the development of new biomarker detection technologies, toward routine implementation into clinical diagnosis. In this context, surface-enhanced Raman scattering (SERS) spectroscopy has been recognized as a promising technology for clinical monitoring thanks to its high sensitivity and label-free operation, which should help accelerate the discovery of biomarkers and their corresponding screening in a simpler, faster, and less-expensive manner. Many studies have demonstrated the excellent performance of SERS in biomedical applications. However, such studies have also revealed several variables that should be considered for accurate SERS monitoring, in particular, when the signal is collected from biological sources (tissues, cells or biofluids). This Perspective is aimed at piecing together the puzzle of SERS in biomarker monitoring, with a view on future challenges and implications. We address the most relevant requirements of plasmonic substrates for biomedical applications, as well as the implementation of tools from artificial intelligence or biotechnology to guide the development of highly versatile sensors.
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Affiliation(s)
- Javier Plou
- CIC
biomaGUNE, Basque Research
and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain
- Biomedical
Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine
(CIBER-BBN), 20014 Donostia-San Sebastián, Spain
- CIC
bioGUNE, Basque Research and Technology
Alliance (BRTA), 48160 Derio, Spain
| | - Pablo S. Valera
- CIC
biomaGUNE, Basque Research
and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain
- CIC
bioGUNE, Basque Research and Technology
Alliance (BRTA), 48160 Derio, Spain
| | - Isabel García
- CIC
biomaGUNE, Basque Research
and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain
- Biomedical
Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine
(CIBER-BBN), 20014 Donostia-San Sebastián, Spain
| | | | - Arkaitz Carracedo
- CIC
bioGUNE, Basque Research and Technology
Alliance (BRTA), 48160 Derio, Spain
- Biomedical
Research Networking Center in Cancer (CIBERONC), 48160, Derio, Spain
- Ikerbasque,
Basque Foundation for Science, 48009 Bilbao, Spain
- Translational
Prostate Cancer Research Lab, CIC bioGUNE-Basurto, Biocruces Bizkaia Health Research Institute, 48160 Derio, Spain
| | - Luis M. Liz-Marzán
- CIC
biomaGUNE, Basque Research
and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain
- Biomedical
Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine
(CIBER-BBN), 20014 Donostia-San Sebastián, Spain
- Ikerbasque,
Basque Foundation for Science, 48009 Bilbao, Spain
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9
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From lab to field: Surface-enhanced Raman scattering-based sensing strategies for on-site analysis. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2021.116488] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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10
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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: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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11
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Xu Y, Hassan MM, Sharma AS, Li H, Chen Q. Recent advancement in nano-optical strategies for detection of pathogenic bacteria and their metabolites in food safety. Crit Rev Food Sci Nutr 2021; 63:486-504. [PMID: 34281447 DOI: 10.1080/10408398.2021.1950117] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Pathogenic bacteria and their metabolites are the leading risk factor in food safety and are one of the major threats to human health because of the capability of triggering diseases with high morbidity and mortality. Nano-optical sensors for bacteria sensing have been greatly explored with the emergence of nanotechnology and artificial intelligence. In addition, with the rapid development of cross fusion technology, other technologies integrated nano-optical sensors show great potential in bacterial and their metabolites sensing. This review focus on nano-optical strategies for bacteria and their metabolites sensing in the field of food safety; based on surface-enhanced Raman scattering (SERS), fluorescence, and colorimetric biosensors, and their integration with the microfluidic platform, electrochemical platform, and nucleic acid amplification platform in the recent three years. Compared with the traditional techniques, nano optical-based sensors have greatly improved the sensitivity with reduced detection time and cost. However, challenges remain for the simple fabrication of biosensors and their practical application in complex matrices. Thus, bringing out improvements or novelty in the pretreatment methods will be a trend in the upcoming future.
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Affiliation(s)
- Yi Xu
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, People's Republic of China
| | - Md Mehedi Hassan
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, People's Republic of China
| | - Arumugam Selva Sharma
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, People's Republic of China
| | - Huanhuan Li
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, People's Republic of China
| | - Quansheng Chen
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, People's Republic of China
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12
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Wang W, Kang S, Vikesland PJ. Surface-Enhanced Raman Spectroscopy of Bacterial Metabolites for Bacterial Growth Monitoring and Diagnosis of Viral Infection. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:9119-9128. [PMID: 34133126 DOI: 10.1021/acs.est.1c02552] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Bacterial metabolites are intermediate products of bacterial metabolism and their production reflects metabolic activity. Herein, we report the use of surface-enhanced Raman spectroscopy (SERS) for detection of both volatile and nonvolatile metabolites and the application of this approach for bacterial growth quantification and diagnosis of viral infection. The time-dependent SERS signal of the volatile metabolite dimethyl disulfide in the headspace above bacteria growing on an agar plate was detected and quantified. In addition, SERS signals arising from the plate reflected nutrient consumption and production of nonvolatile metabolites. The measurement of metabolite accumulation can be used for bacterial quantification. In the presence of bacteriophage virus, bacterial metabolism is suppressed, and the relative decrease in SERS intensity reflects the initial virus concentration. Using multivariate analysis, we detect viral infection with a prediction accuracy of 93%. Our SERS-based approach for metabolite production monitoring provides new insights toward viral infection diagnosis.
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Affiliation(s)
- Wei Wang
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia Tech Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
| | - Seju Kang
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia Tech Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
| | - Peter J Vikesland
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia Tech Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
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13
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Qu LL, Ying YL, Yu RJ, Long YT. In situ food-borne pathogen sensors in a nanoconfined space by surface enhanced Raman scattering. Mikrochim Acta 2021; 188:201. [PMID: 34041602 PMCID: PMC8154335 DOI: 10.1007/s00604-021-04864-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 05/13/2021] [Indexed: 01/04/2023]
Abstract
The incidence of disease arising from food-borne pathogens is increasing continuously and has become a global public health problem. Rapid and accurate identification of food-borne pathogens is essential for adopting disease intervention strategies and controlling the spread of epidemics. Surface-enhanced Raman spectroscopy (SERS) has attracted increasing interest due to the attractive features including simplicity, rapid measurement, and high sensitivity. It can be used for rapid in situ sensing of single and multicomponent samples within the nanostructure-based confined space by providing molecular fingerprint information and has been demonstrated to be an effective detection strategy for pathogens. This article aims to review the application of SERS to the rapid sensing of food-borne pathogens in food matrices. The mechanisms and advantages of SERS, and detection strategies are briefly discussed. The latest progress on the use of SERS for rapid detection of food-borne bacteria and viruses is considered, including both the labeled and label-free detection strategies. In closing, according to the current situation regarding detection of food-borne pathogens, the review highlights the challenges faced by SERS and the prospects for new applications in food safety. In this review, the advances on the SERS detection of pathogens over the past decades have been reviewed, focusing on the improvements in sensitivity, reproducibility, specificity, and the performance of the SERS-based assay in complex analytical scenarios. ![]()
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Affiliation(s)
- Lu-Lu Qu
- School of Chemistry and Materials Science, Jiangsu Normal University, 221116, Xuzhou, People's Republic of China.
| | - Yi-Lun Ying
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, People's Republic of China
| | - Ru-Jia Yu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, People's Republic of China.
| | - Yi-Tao Long
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, People's Republic of China
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14
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Zhou Y, Wang Z, Peng Y, Wang F, Deng L. Gold Nanomaterials as a Promising Integrated Tool for Diagnosis and Treatment of Pathogenic Infections-A Review. J Biomed Nanotechnol 2021; 17:744-770. [PMID: 34082865 DOI: 10.1166/jbn.2021.3075] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
This review summarizes research on functionalized gold nanomaterials as pathogen detection sensors and pathogen elimination integrated tools. After presenting the challenge of current severe threat from pathogenic bacteria and the increasingly serious growth rate of drug resistance, the first section mainly introduces the conspectus of gold nanostructures from synthesis, characterization, physicochemical properties and applications of gold nanomaterials. The next section deals with gold nanomaterials-based pathogen detection sensors such as colorimetric sensors, fluorescence sensors and Surface-Enhanced Raman Scattering sensors. We then discuss strategies based on gold nanomaterials for eliminating pathogenic infections, such as the dual sterilization strategy for grafting gold nanomaterials with antibacterial substances, photothermal antibacterial and photodynamic antibacterial methods. The fourth part briefly introduces the comprehensive strategy for diagnosis and sterilization of pathogen infection based on gold nanomaterials, such as the diagnosis and treatment strategy for pathogen infection using Roman signals real-time monitoring and photothermal sterilization. A concluding section that summarizes the current status and challenges of the novel diagnosis and treatment integrated strategy for pathogenic infections, gives an outlook on potential future perspectives.
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Affiliation(s)
- Yan Zhou
- Department of Microbiology, College of Life Science, Hunan Normal University, Changsha 410081, Hunan, China
| | - Zefeng Wang
- Department of Microbiology, College of Life Science, Hunan Normal University, Changsha 410081, Hunan, China
| | - Yanling Peng
- Department of Microbiology, College of Life Science, Hunan Normal University, Changsha 410081, Hunan, China
| | - Feiying Wang
- Department of Microbiology, College of Life Science, Hunan Normal University, Changsha 410081, Hunan, China
| | - Le Deng
- Department of Microbiology, College of Life Science, Hunan Normal University, Changsha 410081, Hunan, China
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15
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Deusenbery C, Wang Y, Shukla A. Recent Innovations in Bacterial Infection Detection and Treatment. ACS Infect Dis 2021; 7:695-720. [PMID: 33733747 DOI: 10.1021/acsinfecdis.0c00890] [Citation(s) in RCA: 100] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Bacterial infections are a major threat to human health, exacerbated by increasing antibiotic resistance. These infections can result in tremendous morbidity and mortality, emphasizing the need to identify and treat pathogenic bacteria quickly and effectively. Recent developments in detection methods have focused on electrochemical, optical, and mass-based biosensors. Advances in these systems include implementing multifunctional materials, microfluidic sampling, and portable data-processing to improve sensitivity, specificity, and ease of operation. Concurrently, advances in antibacterial treatment have largely focused on targeted and responsive delivery for both antibiotics and antibiotic alternatives. Antibiotic alternatives described here include repurposed drugs, antimicrobial peptides and polymers, nucleic acids, small molecules, living systems, and bacteriophages. Finally, closed-loop therapies are combining advances in the fields of both detection and treatment. This review provides a comprehensive summary of the current trends in detection and treatment systems for bacterial infections.
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Affiliation(s)
- Carly Deusenbery
- School of Engineering, Center for Biomedical Engineering, Institute for Molecular and Nanoscale Innovation, Brown University, Providence, Rhode Island 02912, United States
| | - Yingying Wang
- Department of Chemistry, Brown University, Providence, Rhode Island 02912, United States
| | - Anita Shukla
- School of Engineering, Center for Biomedical Engineering, Institute for Molecular and Nanoscale Innovation, Brown University, Providence, Rhode Island 02912, United States
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Perumal J, Wang Y, Attia ABE, Dinish US, Olivo M. Towards a point-of-care SERS sensor for biomedical and agri-food analysis applications: a review of recent advancements. NANOSCALE 2021; 13:553-580. [PMID: 33404579 DOI: 10.1039/d0nr06832b] [Citation(s) in RCA: 92] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
The growing demand for reliable and robust methodology in bio-chemical sensing calls for the continuous advancement of sensor technologies. Over the last two decades, surface-enhanced Raman spectroscopy (SERS) has emerged as one of the most promising analytical techniques for sensitive and trace analysis or detection in biomedical and agri-food applications. SERS overcomes the inherent sensitivity limitation associated with Raman spectroscopy, which provides vibrational "fingerprint" spectra of molecules that makes it unique and versatile among other spectroscopy techniques. This paper comprehensively reviews the recent advancements of SERS for biomedical, food and agricultural applications over the last 6 years, and we envision that, in the near future, some of these platforms have the potential to be translated as a point-of-care and rapid sensor for real-life end-user applications. The merits and limitations of various SERS sensor designs are analysed and discussed based on critical features such as sensitivity, specificity, usability, repeatability and reproducibility. We conclude by highlighting the opportunities and challenges in the field while stressing the technological gaps to be addressed in realizing commercially viable point-of-care SERS sensors for practical biomedical and agri-food technological applications.
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Affiliation(s)
- Jayakumar Perumal
- Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium (SBIC), Agency for Science Technology and Research (A*STAR), Singapore.
| | - Yusong Wang
- Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium (SBIC), Agency for Science Technology and Research (A*STAR), Singapore.
| | - Amalina Binte Ebrahim Attia
- Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium (SBIC), Agency for Science Technology and Research (A*STAR), Singapore.
| | - U S Dinish
- Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium (SBIC), Agency for Science Technology and Research (A*STAR), Singapore.
| | - Malini Olivo
- Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium (SBIC), Agency for Science Technology and Research (A*STAR), Singapore.
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17
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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: 115] [Impact Index Per Article: 23.0] [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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