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Kant K, Beeram R, Cao Y, Dos Santos PSS, González-Cabaleiro L, García-Lojo D, Guo H, Joung Y, Kothadiya S, Lafuente M, Leong YX, Liu Y, Liu Y, Moram SSB, Mahasivam S, Maniappan S, Quesada-González D, Raj D, Weerathunge P, Xia X, Yu Q, Abalde-Cela S, Alvarez-Puebla RA, Bardhan R, Bansal V, Choo J, Coelho LCC, de Almeida JMMM, Gómez-Graña S, Grzelczak M, Herves P, Kumar J, Lohmueller T, Merkoçi A, Montaño-Priede JL, Ling XY, Mallada R, Pérez-Juste J, Pina MP, Singamaneni S, Soma VR, Sun M, Tian L, Wang J, Polavarapu L, Santos IP. Plasmonic nanoparticle sensors: current progress, challenges, and future prospects. NANOSCALE HORIZONS 2024. [PMID: 39240539 PMCID: PMC11378978 DOI: 10.1039/d4nh00226a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/07/2024]
Abstract
Plasmonic nanoparticles (NPs) have played a significant role in the evolution of modern nanoscience and nanotechnology in terms of colloidal synthesis, general understanding of nanocrystal growth mechanisms, and their impact in a wide range of applications. They exhibit strong visible colors due to localized surface plasmon resonance (LSPR) that depends on their size, shape, composition, and the surrounding dielectric environment. Under resonant excitation, the LSPR of plasmonic NPs leads to a strong field enhancement near their surfaces and thus enhances various light-matter interactions. These unique optical properties of plasmonic NPs have been used to design chemical and biological sensors. Over the last few decades, colloidal plasmonic NPs have been greatly exploited in sensing applications through LSPR shifts (colorimetry), surface-enhanced Raman scattering, surface-enhanced fluorescence, and chiroptical activity. Although colloidal plasmonic NPs have emerged at the forefront of nanobiosensors, there are still several important challenges to be addressed for the realization of plasmonic NP-based sensor kits for routine use in daily life. In this comprehensive review, researchers of different disciplines (colloidal and analytical chemistry, biology, physics, and medicine) have joined together to summarize the past, present, and future of plasmonic NP-based sensors in terms of different sensing platforms, understanding of the sensing mechanisms, different chemical and biological analytes, and the expected future technologies. This review is expected to guide the researchers currently working in this field and inspire future generations of scientists to join this compelling research field and its branches.
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Affiliation(s)
- Krishna Kant
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
- Department of Biotechnology, School of Engineering and Applied Sciences, Bennett University, Greater Noida, UP, India
| | - Reshma Beeram
- Advanced Centre of Research in High Energy Materials (ACRHEM), DRDO Industry Academia - Centre of Excellence (DIA-COE), University of Hyderabad, Hyderabad 500046, Telangana, India
| | - Yi Cao
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, P. R. China
| | - Paulo S S Dos Santos
- INESC TEC-Institute for Systems and Computer Engineering, Technology and Science, Rua Dr Alberto Frias, 4200-465 Porto, Portugal
| | | | - Daniel García-Lojo
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
| | - Heng Guo
- Department of Biomedical Engineering, and Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX 77843, USA
| | - Younju Joung
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | - Siddhant Kothadiya
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50011, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
| | - Marta Lafuente
- Department of Chemical & Environmental Engineering, Campus Rio Ebro, C/Maria de Luna s/n, 50018 Zaragoza, Spain
- Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, 50009 Zaragoza, Spain
| | - Yong Xiang Leong
- Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore
| | - Yiyi Liu
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Yuxiong Liu
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Sree Satya Bharati Moram
- Advanced Centre of Research in High Energy Materials (ACRHEM), DRDO Industry Academia - Centre of Excellence (DIA-COE), University of Hyderabad, Hyderabad 500046, Telangana, India
| | - Sanje Mahasivam
- Sir Ian Potter NanoBioSensing Facility, NanoBiotechnology Research Laboratory, School of Science, RMIT University, Melbourne, VIC 3000, Australia
| | - Sonia Maniappan
- Department of Chemistry, Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517 507, India
| | - Daniel Quesada-González
- Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra, 08193, Barcelona, Spain
| | - Divakar Raj
- Department of Allied Sciences, School of Health Sciences and Technology, UPES, Dehradun, 248007, India
| | - Pabudi Weerathunge
- Sir Ian Potter NanoBioSensing Facility, NanoBiotechnology Research Laboratory, School of Science, RMIT University, Melbourne, VIC 3000, Australia
| | - Xinyue Xia
- Department of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 999077, China
| | - Qian Yu
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | - Sara Abalde-Cela
- International Iberian Nanotechnology Laboratory (INL), 4715-330 Braga, Portugal
| | - Ramon A Alvarez-Puebla
- Department of Physical and Inorganic Chemistry, Universitat Rovira i Virgili, Tarragona, Spain
- ICREA-Institució Catalana de Recerca i Estudis Avançats, 08010, Barcelona, Spain
| | - Rizia Bardhan
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50011, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
| | - Vipul Bansal
- Sir Ian Potter NanoBioSensing Facility, NanoBiotechnology Research Laboratory, School of Science, RMIT University, Melbourne, VIC 3000, Australia
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | - Luis C C Coelho
- INESC TEC-Institute for Systems and Computer Engineering, Technology and Science, Rua Dr Alberto Frias, 4200-465 Porto, Portugal
- FCUP, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal
| | - José M M M de Almeida
- INESC TEC-Institute for Systems and Computer Engineering, Technology and Science, Rua Dr Alberto Frias, 4200-465 Porto, Portugal
- Department of Physics, University of Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal
| | - Sergio Gómez-Graña
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
| | - Marek Grzelczak
- Centro de Física de Materiales (CSIC-UPV/EHU) and Donostia International Physics Center (DIPC), Paseo Manuel de Lardizabal 5, 20018 Donostia San-Sebastián, Spain
| | - Pablo Herves
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
| | - Jatish Kumar
- Department of Chemistry, Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517 507, India
| | - Theobald Lohmueller
- Chair for Photonics and Optoelectronics, Nano-Institute Munich, Department of Physics, Ludwig-Maximilians-Universität (LMU), Königinstraße 10, 80539 Munich, Germany
| | - Arben Merkoçi
- Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra, 08193, Barcelona, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, Barcelona, 08010, Spain
| | - José Luis Montaño-Priede
- Centro de Física de Materiales (CSIC-UPV/EHU) and Donostia International Physics Center (DIPC), Paseo Manuel de Lardizabal 5, 20018 Donostia San-Sebastián, Spain
| | - Xing Yi Ling
- Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore
| | - Reyes Mallada
- Department of Chemical & Environmental Engineering, Campus Rio Ebro, C/Maria de Luna s/n, 50018 Zaragoza, Spain
- Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, 50009 Zaragoza, Spain
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine, CIBER-BBN, 28029 Madrid, Spain
| | - Jorge Pérez-Juste
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
| | - María P Pina
- Department of Chemical & Environmental Engineering, Campus Rio Ebro, C/Maria de Luna s/n, 50018 Zaragoza, Spain
- Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, 50009 Zaragoza, Spain
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine, CIBER-BBN, 28029 Madrid, Spain
| | - Srikanth Singamaneni
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Venugopal Rao Soma
- Advanced Centre of Research in High Energy Materials (ACRHEM), DRDO Industry Academia - Centre of Excellence (DIA-COE), University of Hyderabad, Hyderabad 500046, Telangana, India
- School of Physics, University of Hyderabad, Hyderabad 500046, Telangana, India
| | - Mengtao Sun
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, P. R. China
| | - Limei Tian
- Department of Biomedical Engineering, and Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX 77843, USA
| | - Jianfang Wang
- Department of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 999077, China
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Zhao D, Jiao Y, Zhang C, Xiao X. β-Galactosidase-triggered in situ synthesis of yellow emitting silicon nanoparticle and its application in visual detection of E. coli O157:H7 and drug susceptibility test. Food Chem 2024; 450:139331. [PMID: 38621310 DOI: 10.1016/j.foodchem.2024.139331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 04/08/2024] [Accepted: 04/09/2024] [Indexed: 04/17/2024]
Abstract
The sensitive detection of foodborne pathogenic and rapid antibiotic susceptibility testing (AST) is of great significance. This paper reports the enzyme-triggered in situ synthesis of yellow emitting silicon nanoparticles (SiNPs) and the detection of Escherichia coli (E. coli) O157:H7 in food samples and the rapid AST. The rapid counting of E. coli O157:H7 has been achieved through direct visual observation, equipment detection, and smartphone digitalization. A simple detection platform based on smartphone senses and cotton swabs has been established. Meanwhile, rapid AST based on enzyme-catalyzed SiNPs can intuitively obtain colorimetric samples. This paper established a system for bacterial enzyme-triggered in situ synthesis of SiNPs, with high responsiveness, luminescence ratio, and specificity. The detection limit for E. coli O157:H7 can reach 100 CFU/mL during 5 h, and the recovery efficiency ranges from 90.14% to 110.16%, which makes it a promising strategy for the rapid detection of E. coli O157:H7 and AST.
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Affiliation(s)
- Dan Zhao
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, PR China.
| | - Yan Jiao
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, PR China
| | - Changpeng Zhang
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, PR China
| | - Xincai Xiao
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, PR China
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Liu W, Chung K, Yu S, Lee LP. Nanoplasmonic biosensors for environmental sustainability and human health. Chem Soc Rev 2024. [PMID: 39192761 DOI: 10.1039/d3cs00941f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2024]
Abstract
Monitoring the health conditions of the environment and humans is essential for ensuring human well-being, promoting global health, and achieving sustainability. Innovative biosensors are crucial in accurately monitoring health conditions, uncovering the hidden connections between the environment and human well-being, and understanding how environmental factors trigger autoimmune diseases, neurodegenerative diseases, and infectious diseases. This review evaluates the use of nanoplasmonic biosensors that can monitor environmental health and human diseases according to target analytes of different sizes and scales, providing valuable insights for preventive medicine. We begin by explaining the fundamental principles and mechanisms of nanoplasmonic biosensors. We investigate the potential of nanoplasmonic techniques for detecting various biological molecules, extracellular vesicles (EVs), pathogens, and cells. We also explore the possibility of wearable nanoplasmonic biosensors to monitor the physiological network and healthy connectivity of humans, animals, plants, and organisms. This review will guide the design of next-generation nanoplasmonic biosensors to advance sustainable global healthcare for humans, the environment, and the planet.
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Affiliation(s)
- Wenpeng Liu
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
| | - Kyungwha Chung
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Subin Yu
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
| | - Luke P Lee
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
- Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA 94720, USA
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Chemistry and Nanoscience, Ewha Womans University, Seoul, 03760, Korea
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Mu Z, Zeng Y, Liu S, Ge W, Yang S, Ji C, Jia X, Li G. Target-Triggered Aggregation of Modified E. coli for Diagnosis of Ovarian Cancer. Anal Chem 2024; 96:12767-12775. [PMID: 39044392 DOI: 10.1021/acs.analchem.4c01954] [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: 07/25/2024]
Abstract
Bacteria inherently possess the capability of quorum sensing in response to the environment. In this work, we have proposed a strategy to confer bacteria with the ability to recognize targets with quorum-sensing behavior. Meanwhile, we have successfully achieved artificial control over the target-triggered aggregation of Escherichia coli (E. coli) by modifying the bacteria surface in a new way. Furthermore, by making use of green fluorescent protein (GFP) expressed by E. coli as the output signal, the aggregation of modified E. coli can be observed with the naked eye. Therefore, via the detection of the target, MUC1, an ovarian cancer biomarker, a simple and conveniently operated method to diagnose ovarian cancer is developed in this work. Experimental results show that the developed low-background and enzyme-free amplification method enables the highly sensitive detection of MUC1, achieving a remarkable limit of detection (LOD) of 5.47 fM and a linear detection range spanning from 1 pM to 50 nM and 50 nM to 100 nM, respectively. Clinical samples from healthy donors and patients can give distant assay results, showing great potential for clinical applications of this method.
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Affiliation(s)
- Zheying Mu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, PR China
| | - Yujing Zeng
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, PR China
| | - Siyu Liu
- Department of Gynecology, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing 210004, PR China
| | - Weikang Ge
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, PR China
| | - Shiao Yang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, PR China
| | - Chenbo Ji
- Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing 210004, PR China
- Department of Gynecology, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing 210004, PR China
| | - Xuemei Jia
- Department of Gynecology, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing 210004, PR China
- Nanjing Key Laboratory of Female Fertility Preservation and Restoration, Nanjing 210004, PR China
| | - Genxi Li
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, PR China
- Center for Molecular Recognition and Biosensing, School of Life Sciences, Shanghai University, Shanghai 200444, PR China
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Zhou X, Wu H, Chen X, Li W, Zhang J, Wang M, Zhang J, Wang S, Liu Y. Glucose-metabolism-triggered colorimetric sensor array for point-of-care differentiation and antibiotic susceptibility testing of bacteria. Food Chem 2024; 438:137983. [PMID: 37989025 DOI: 10.1016/j.foodchem.2023.137983] [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: 08/25/2023] [Revised: 11/09/2023] [Accepted: 11/11/2023] [Indexed: 11/23/2023]
Abstract
Simple and sensitive discrimination of multiple bacteria and antimicrobial susceptibility test (AST) are significant for food safety, clinical diagnosis and treatment. Herein, based on different metabolic ability of bacteria on glucose, we presented a colorimetric sensor array for point-of-care testing (POCT) of multiple bacteria with methyl red (MER), bromothymol blue (BTB) and bromocresol green (BCG) as probes. Different bacteria resulted in different color changes of three probes, which was converted to RGB (Red (R)/Green (G)/Blue (B)) signals by the color recognizer APP loaded on smartphone. The sensor array performed differentiation of eleven species of bacteria, achieving the quantitative analysis of individual bacteria in tap water and differentiation of bacterial mixtures. Interestingly, the sensor array can be used for AST and evaluating minimal inhibitory concentration (MIC) of antibiotics to bacteria. The research provided meaningful guidance for distinguishing multiple bacteria and evaluating MIC, presenting great potential in practical application.
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Affiliation(s)
- Xiao Zhou
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Haotian Wu
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Xiying Chen
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Weiran Li
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Jingjing Zhang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Mengqi Wang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Jing Zhang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Shuo Wang
- Tianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300071, PR China
| | - Yaqing Liu
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, PR China.
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Chen L, Zhu M, Wang Z, Wang H, Cheng Y, Zhang Z, Qi X, Shao Y, Zhang X, Wang H. A capillary-based centrifugal indicator equipped with in situ pathogenic bacteria culture for fast antimicrobial susceptibility testing. Analyst 2024; 149:2420-2427. [PMID: 38488061 DOI: 10.1039/d3an02144k] [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: 04/16/2024]
Abstract
Antimicrobial resistance has become a major global health threat due to the misuse and overuse of antibiotics. Rapid, affordable, and high-efficiency antimicrobial susceptibility testing (AST) is among the effective means to solve this problem. Herein, we developed a capillary-based centrifugal indicator (CBCI) equipped with an in situ culture of pathogenic bacteria for fast AST. The bacterial incubation and growth were performed by macro-incubation, which seamlessly integrated the capillary indicator. Through simple centrifugation, all the bacterial cells were confined at the nanoliter-level capillary column. The packed capillary column height could linearly reflect the bacterial count, and the minimum inhibitory concentration (MIC) was determined based on the difference in the column height between the drug-added groups and the control group. The AST results could easily be determined by the naked eye or smartphone imaging. Thus, the CBCI realized the combination of macro-bacterial incubation and early micro assessment, which accelerated the phenotypic AST without complex microscopic counting or fluorescent labelling. The whole operation process was simple and easy to use. AST results could be determined for E. coli ATCC strains within 3.5 h, and the output results for clinical samples were consistent with the hospital reports. We expect this AST platform to become a useful tool in limiting antimicrobial resistance, especially in remote/resource-limited areas or in underdeveloped countries.
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Affiliation(s)
- Longyu Chen
- Institute of Eco-Environmental Forensics, School of Environmental Science and Engineering, Shandong University (Qingdao), Qingdao, Shandong, 266237, China.
| | - Meijia Zhu
- Institute of Eco-Environmental Forensics, School of Environmental Science and Engineering, Shandong University (Qingdao), Qingdao, Shandong, 266237, China.
| | - Zhiyong Wang
- China Academy of Building Research, Beijing, 100013, China
| | | | - Yongqiang Cheng
- Institute of Eco-Environmental Forensics, School of Environmental Science and Engineering, Shandong University (Qingdao), Qingdao, Shandong, 266237, China.
| | - Ziwei Zhang
- Institute of Eco-Environmental Forensics, School of Environmental Science and Engineering, Shandong University (Qingdao), Qingdao, Shandong, 266237, China.
| | - Xiaoxiao Qi
- Institute of Eco-Environmental Forensics, School of Environmental Science and Engineering, Shandong University (Qingdao), Qingdao, Shandong, 266237, China.
| | - Yifan Shao
- Institute of Eco-Environmental Forensics, School of Environmental Science and Engineering, Shandong University (Qingdao), Qingdao, Shandong, 266237, China.
| | - Xi Zhang
- Institute of Eco-Environmental Forensics, School of Environmental Science and Engineering, Shandong University (Qingdao), Qingdao, Shandong, 266237, China.
| | - Hongwei Wang
- Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, China
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Zhang J, Wang M, Xiao J, Wang M, Liu Y, Gao X. Metabolism-Triggered Plasmonic Nanosensor for Bacterial Detection and Antimicrobial Susceptibility Testing of Clinical Isolates. ACS Sens 2024; 9:379-387. [PMID: 38175523 DOI: 10.1021/acssensors.3c02144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Antimicrobial resistance (AMR) is predicted to become the leading cause of death worldwide in the coming decades. Rapid and on-site antibiotic susceptibility testing (AST) is crucial for guiding appropriate antibiotic choices to combat AMR. With this in mind, we have designed a simple and efficient plasmonic nanosensor consisting of Cu2+ and cysteine-modified AuNP (Au/Cys) that utilizes the metabolic activity of bacteria toward Cu2+ for bacterial detection and AST. When Cu2+ is present, it induces the aggregation of Au/Cys. However, in the presence of bacteria, Cu2+ is metabolized to varying extents, resulting in distinct levels of aggregation. Moreover, the metabolic activity of bacteria can be influenced by their antibiotic susceptibility, allowing us to differentiate between susceptible and resistant strains through direct color changes from the Cu2+-Au/Cys platform over approximately 3 h. These color changes can be easily detected using naked-eye observation, smartphone analysis, or absorption readout. We have validated the platform using four clinical isolates and six types of antibiotics, demonstrating a clinical sensitivity and specificity of 95.8%. Given its simplicity, low cost, high speed, and high accuracy, the plasmonic nanosensor holds great potential for point-of-care detection of antibiotic susceptibility across various settings.
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Affiliation(s)
- Jing Zhang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Mengna Wang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Jinru Xiao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Mengqi Wang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Yaqing Liu
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Xia Gao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
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Wei S, Tang Q, Hu X, Ouyang W, Shao H, Li J, Yan H, Chen Y, Liu L. Rapid, Ultrasensitive, and Visual Detection of Pathogens Based on Cation Dye-Triggered Gold Nanoparticle Electrokinetic Agglutination Analysis. ACS Sens 2024; 9:325-336. [PMID: 38214583 DOI: 10.1021/acssensors.3c02014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
Rapid prescribing of the right antibiotic is the key to treat infectious diseases and decelerate the challenge of bacterial antibiotic resistance. Herein, by targeting the 16S rRNA of bacteria, we developed a cation dye-triggered electrokinetic gold nanoparticle (AuNP) agglutination (CD-TEAA) method, which is rapid, visual, ultrasensitive, culture-independent, and low in cost. The limit of detection (LOD) is as low as 1 CFU mL-1 Escherichia coli. The infection identifications of aseptic fluid samples (n = 11) and urine samples with a clinically suspected urinary tract infection (UTI, n = 78) were accomplished within 50 and 30 min for each sample, respectively. The antimicrobial susceptibility testing (AST) of UTI urine samples was achieved within 2.5 h. In ROC analysis of urine, the sensitivity and specificity were 100 and 96% for infection identification, and 100 and 98% for AST, respectively. Moreover, the overall cost of materials for each test is about US$0.69. Therefore, the CD-TEAA method is a superior approach to existing, time-consuming, and expensive methods, especially in less developed areas.
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Affiliation(s)
- Siqi Wei
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Qing Tang
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Xiumei Hu
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Wei Ouyang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60208, United States
| | - Huaze Shao
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Jincheng Li
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Hong Yan
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Yue Chen
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Lihong Liu
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
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Ippili S, Jung JS, Thomas AM, Vuong VH, Lee JM, Sha MS, Sadasivuni KK, Jella V, Yoon SG. An Overview of Polymer Composite Films for Antibacterial Display Coatings and Sensor Applications. Polymers (Basel) 2023; 15:3791. [PMID: 37765645 PMCID: PMC10536203 DOI: 10.3390/polym15183791] [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: 08/12/2023] [Revised: 09/12/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
The escalating presence of pathogenic microbes has spurred a heightened interest in antimicrobial polymer composites tailored for hygiene applications. These innovative composites ingeniously incorporate potent antimicrobial agents such as metals, metal oxides, and carbon derivatives. This integration equips them with the unique ability to offer robust and persistent protection against a diverse array of pathogens. By effectively countering the challenges posed by microbial contamination, these pioneering composites hold the potential to create safer environments and contribute to the advancement of public health on a substantial scale. This review discusses the recent progress of antibacterial polymer composite films with the inclusion of metals, metal oxides, and carbon derivatives, highlighting their antimicrobial activity against various pathogenic microorganisms. Furthermore, the review summarizes the recent developments in antibacterial polymer composites for display coatings, sensors, and multifunctional applications. Through a comprehensive examination of various research studies, this review aims to provide valuable insights into the design, performance, and real-time applications of these smart antimicrobial coatings for interactive devices, thus enhancing their overall user experience and safety. It concludes with an outlook on the future perspectives and challenges of antimicrobial polymer composites and their potential applications across diverse fields.
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Affiliation(s)
- Swathi Ippili
- Department of Materials Science and Engineering, Chungnam National University, Daejeon 34134, Republic of Korea; (J.-S.J.); (A.M.T.); (V.-H.V.); (J.-M.L.)
| | - Jang-Su Jung
- Department of Materials Science and Engineering, Chungnam National University, Daejeon 34134, Republic of Korea; (J.-S.J.); (A.M.T.); (V.-H.V.); (J.-M.L.)
| | - Alphi Maria Thomas
- Department of Materials Science and Engineering, Chungnam National University, Daejeon 34134, Republic of Korea; (J.-S.J.); (A.M.T.); (V.-H.V.); (J.-M.L.)
| | - Van-Hoang Vuong
- Department of Materials Science and Engineering, Chungnam National University, Daejeon 34134, Republic of Korea; (J.-S.J.); (A.M.T.); (V.-H.V.); (J.-M.L.)
| | - Jeong-Min Lee
- Department of Materials Science and Engineering, Chungnam National University, Daejeon 34134, Republic of Korea; (J.-S.J.); (A.M.T.); (V.-H.V.); (J.-M.L.)
| | - Mizaj Shabil Sha
- Center for Advanced Materials, Qatar University, Doha P.O. Box 2713, Qatar; (M.S.S.); (K.K.S.)
| | - Kishor Kumar Sadasivuni
- Center for Advanced Materials, Qatar University, Doha P.O. Box 2713, Qatar; (M.S.S.); (K.K.S.)
- Department of Mechanical and Industrial Engineering, Qatar University, Doha P.O. Box 2713, Qatar
| | - Venkatraju Jella
- Department of Materials Science and Engineering, Chungnam National University, Daejeon 34134, Republic of Korea; (J.-S.J.); (A.M.T.); (V.-H.V.); (J.-M.L.)
| | - Soon-Gil Yoon
- Department of Materials Science and Engineering, Chungnam National University, Daejeon 34134, Republic of Korea; (J.-S.J.); (A.M.T.); (V.-H.V.); (J.-M.L.)
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Baranova AA, Tyurin AP, Korshun VA, Alferova VA. Sensing of Antibiotic-Bacteria Interactions. Antibiotics (Basel) 2023; 12:1340. [PMID: 37627760 PMCID: PMC10451291 DOI: 10.3390/antibiotics12081340] [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: 07/05/2023] [Revised: 08/15/2023] [Accepted: 08/17/2023] [Indexed: 08/27/2023] Open
Abstract
Sensing of antibiotic-bacteria interactions is an important area of research that has gained significant attention in recent years. Antibiotic resistance is a major public health concern, and it is essential to develop new strategies for detecting and monitoring bacterial responses to antibiotics in order to maintain effective antibiotic development and antibacterial treatment. This review summarizes recent advances in sensing strategies for antibiotic-bacteria interactions, which are divided into two main parts: studies on the mechanism of action for sensitive bacteria and interrogation of the defense mechanisms for resistant ones. In conclusion, this review provides an overview of the present research landscape concerning antibiotic-bacteria interactions, emphasizing the potential for method adaptation and the integration of machine learning techniques in data analysis, which could potentially lead to a transformative impact on mechanistic studies within the field.
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Affiliation(s)
| | | | | | - Vera A. Alferova
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Miklukho-Maklaya 16/10, 117997 Moscow, Russia; (A.A.B.); (A.P.T.); (V.A.K.)
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11
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Yang J, Wang X, Sun Y, Chen B, Hu F, Guo C, Yang T. Recent Advances in Colorimetric Sensors Based on Gold Nanoparticles for Pathogen Detection. BIOSENSORS 2022; 13:29. [PMID: 36671864 PMCID: PMC9856207 DOI: 10.3390/bios13010029] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/09/2022] [Accepted: 12/23/2022] [Indexed: 05/28/2023]
Abstract
Infectious pathogens cause severe threats to public health due to their frightening infectivity and lethal capacity. Rapid and accurate detection of pathogens is of great significance for preventing their infection. Gold nanoparticles have drawn considerable attention in colorimetric biosensing during the past decades due to their unique physicochemical properties. Colorimetric diagnosis platforms based on functionalized AuNPs are emerging as a promising pathogen-analysis technique with the merits of high sensitivity, low-cost, and easy operation. This review summarizes the recent development in this field. We first introduce the significance of detecting pathogens and the characteristics of gold nanoparticles. Four types of colorimetric strategies, including the application of indirect target-mediated aggregation, chromogenic substrate-mediated catalytic activity, point-of-care testing (POCT) devices, and machine learning-assisted colorimetric sensor arrays, are systematically introduced. In particular, three biomolecule-functionalized AuNP-based colorimetric sensors are described in detail. Finally, we conclude by presenting our subjective views on the present challenges and some appropriate suggestions for future research directions of colorimetric sensors.
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Affiliation(s)
- Jianyu Yang
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Xin Wang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Yuyang Sun
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Bo Chen
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Fangxin Hu
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Chunxian Guo
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Ting Yang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
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