1
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Behera P, De M. Surface-Engineered Nanomaterials for Optical Array Based Sensing. Chempluschem 2024; 89:e202300610. [PMID: 38109071 DOI: 10.1002/cplu.202300610] [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: 10/25/2023] [Revised: 12/01/2023] [Indexed: 12/19/2023]
Abstract
Array based sensing governed by optical methods provides fast and economic way for detection of wide variety of analytes where the ideality of detection processes depends on the sensor element's versatile mode of interaction with multiple analytes in an unbiased manner. This can be achieved by either the receptor unit having multiple recognition moiety, or their surface property should possess tuning ability upon fabrication called surface engineering. Nanomaterials have a high surface to volume ratio, making them viable candidates for molecule recognition through surface adsorption phenomena, which makes it ideal to meet the above requirements. Most crucially, by engineering a nanomaterial's surface, one may produce cross-reactive responses for a variety of analytes while focusing solely on a single nanomaterial. Depending on the nature of receptor elements, in the last decade the array-based sensing has been considering as multimodal detection platform which operates through various pathway including single channel, multichannel, binding and indicator displacement assay, sequential ON-OFF sensing, enzyme amplified and nanozyme based sensing etc. In this review we will deliver the working principle for Array-based sensing by using various nanomaterials like nanoparticles, nanosheets, nanodots and self-assembled nanomaterials and their surface functionality for suitable molecular recognition.
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Affiliation(s)
- Pradipta Behera
- Department of Organic Chemistry, Indian Institute of Science, Bangalore, 560012, India
| | - Mrinmoy De
- Department of Organic Chemistry, Indian Institute of Science, Bangalore, 560012, India
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2
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Hajfathalian M, Mossburg KJ, Radaic A, Woo KE, Jonnalagadda P, Kapila Y, Bollyky PL, Cormode DP. A review of recent advances in the use of complex metal nanostructures for biomedical applications from diagnosis to treatment. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2024; 16:e1959. [PMID: 38711134 PMCID: PMC11114100 DOI: 10.1002/wnan.1959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 03/31/2024] [Accepted: 04/01/2024] [Indexed: 05/08/2024]
Abstract
Complex metal nanostructures represent an exceptional category of materials characterized by distinct morphologies and physicochemical properties. Nanostructures with shape anisotropies, such as nanorods, nanostars, nanocages, and nanoprisms, are particularly appealing due to their tunable surface plasmon resonances, controllable surface chemistries, and effective targeting capabilities. These complex nanostructures can absorb light in the near-infrared, enabling noteworthy applications in nanomedicine, molecular imaging, and biology. The engineering of targeting abilities through surface modifications involving ligands, antibodies, peptides, and other agents potentiates their effects. Recent years have witnessed the development of innovative structures with diverse compositions, expanding their applications in biomedicine. These applications encompass targeted imaging, surface-enhanced Raman spectroscopy, near-infrared II imaging, catalytic therapy, photothermal therapy, and cancer treatment. This review seeks to provide the nanomedicine community with a thorough and informative overview of the evolving landscape of complex metal nanoparticle research, with a specific emphasis on their roles in imaging, cancer therapy, infectious diseases, and biofilm treatment. This article is categorized under: Diagnostic Tools > In Vivo Nanodiagnostics and Imaging Therapeutic Approaches and Drug Discovery > Nanomedicine for Infectious Disease Diagnostic Tools > Diagnostic Nanodevices.
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Affiliation(s)
- Maryam Hajfathalian
- Department of Biomedical Engineering, New Jersey Institute of Technology, University Heights, Newark, NJ 07102
- Division of Infectious Diseases, School of Medicine, Stanford University, Stanford, CA 94305
| | - Katherine J. Mossburg
- Department of Radiology, University of Pennsylvania, 3400 Spruce Street, 1 Silverstein, Philadelphia, Pennsylvania 19104, United States
| | - Allan Radaic
- School of Dentistry, University of California Los Angeles
| | - Katherine E. Woo
- Division of Infectious Diseases, School of Medicine, Stanford University, Stanford, CA 94305
| | - Pallavi Jonnalagadda
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Yvonne Kapila
- School of Dentistry, University of California Los Angeles
| | - Paul L. Bollyky
- Division of Infectious Diseases, Department of Medicine, Stanford University
| | - David P. Cormode
- Department of Radiology, Department of Bioengineering, University of Pennsylvania
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3
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Liu L, Yao Q, Jiang F, Cai Z, Meng M, Sun H, Zhang L, Gong J. Ultrasensitive Dual-Mode Visual/Photoelectrochemical Bioassay for Antibiotic Resistance Genes through Incorporating Rolling Circle Amplicons into a Tailored Nanoassembly. Anal Chem 2024. [PMID: 38329298 DOI: 10.1021/acs.analchem.3c04539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
As emerging contaminants in the environment, antibiotic resistance genes (ARGs) have aroused a global health crisis and posed a serious threat to ecological safety and human health. Thus, efficient and accurate onsite detection of ARGs is crucial for environmental surveillance. Here, we presented a colorimetric-photoelectrochemical (PEC) dual-mode bioassay for simultaneous detection of multiple ARGs by smartly incorporating rolling circle amplification (RCA) into a stimuli-responsive DNA nanoassembly, using the tetracycline resistance genes tetA and tetC as models. The tailored DNA nanoassembly containing RCA amplicons hybridized with specific signal probes: CuO nanoflowers-anchored signal DNA1 and HgO nanoparticles-anchored signal DNA2, respectively. Upon exposure to an acidic stimulus, numerous Cu2+ and Hg2+ were released, serving as the reporting agent of colorimetric/PEC dual-mode assay. The released Cu2+ and Hg2+ induced localized surface plasmon resonance shifts in Au nanorods and triangular Ag nanoplates through an etching process, respectively, enabling visual analysis of ARGs with distinguishing color changes. Meanwhile, numerous Cu2+ and Hg2+ triggered the amplified PEC variations via reacting with the photoactive layers of CuS/CdS and ZnS, respectively. Thus, a rapid and ultrasensitive colorimetric/PEC dual-mode detection of multiple ARGs was achieved with the detection limit down to 17.2 aM. Furthermore, such dual-mode bioassay could discriminate single-base mismatch and successfully determine ARGs in E. coli plasmids and sludge samples, holding great promise for point-of-care genetic diagnostics.
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Affiliation(s)
- Lijuan Liu
- Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Qingfeng Yao
- Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Fang Jiang
- Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Zheng Cai
- Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Mingxia Meng
- Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Hongwei Sun
- Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Lizhi Zhang
- Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Jingming Gong
- Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
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4
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Ranjbar S, Salavati AH, Ashari Astani N, Naseri N, Davar N, Ejtehadi MR. Electrochromic Sensor Augmented with Machine Learning for Enzyme-Free Analysis of Antioxidants. ACS Sens 2023; 8:4281-4292. [PMID: 37963856 DOI: 10.1021/acssensors.3c01637] [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: 11/16/2023]
Abstract
Our study presents an electrochromic sensor that operates without the need for enzymes or multiple oxidant reagents. This sensor is augmented with machine learning algorithms, enabling the identification, classification, and prediction of six different antioxidants with high accuracy. We utilized polyaniline (PANI), Prussian blue (PB), and copper-Prussian blue analogues (Cu-PBA) at their respective oxidation states as electrochromic materials (ECMs). By designing three readout channels with these materials, we were able to achieve visual detection of antioxidants without relying on traditional "lock and key" specific interactions. Our sensing approach is based on the direct electrochemical reactions between oxidized electrochromic materials (ECMsox) as electron acceptors and various antioxidants, which act as electron donors. This interaction generates unique fingerprint patterns by switching the ECMsox to reduced electrochromic materials (ECMsred), causing their colors to change. Through the application of density functional theory (DFT), we demonstrated the molecular-level basis for the distinct multicolor patterns. Additionally, machine learning algorithms were employed to correlate the optical patterns with RGB data, enabling complex data analysis and the prediction of unknown samples. To demonstrate the practical applications of our design, we successfully used the EC sensor to diagnose antioxidants in serum samples, indicating its potential for the on-site monitoring of antioxidant-related diseases. This advancement holds promise for various applications, including the real-time monitoring of antioxidant levels in biological samples, the early diagnosis of antioxidant-related diseases, and personalized medicine. Furthermore, the success of our electrochromic sensor design highlights the potential for exploring similar strategies in the development of sensors for diverse analytes, showcasing the versatility and adaptability of this approach.
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Affiliation(s)
- Saba Ranjbar
- Department of Physics, Sharif University of Technology, Tehran 11365-9161, Iran
- Department of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran 14965/161, Iran
| | - Amir Hesam Salavati
- Tehran Institute of Advanced Studies (TeIAS), Khatam University, Tehran 1991633357, Iran
| | - Negar Ashari Astani
- Departments of Physics and Energy Engineering, Amirkabir University of Technology, Tehran 15875-4413, Iran
| | - Naimeh Naseri
- Department of Physics, Sharif University of Technology, Tehran 11365-9161, Iran
- Department of Mechanical and Aerospace Engineering, Monash University, Clayton, VIC 3800, Australia
- ARC Research Hub for Advanced Manufacturing with Two-dimensional Materials (AM2D), Monash University, Clayton, VIC 3800, Australia
| | - Navid Davar
- Departments of Physics and Energy Engineering, Amirkabir University of Technology, Tehran 15875-4413, Iran
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Qiao W, Liu Y, Fan X, Yang Y, Liu W, Wang L, Hu Z, Liu F, Jin C, Sun X, Liu D, Liu Q, Li L. Rapid and sensitive determination of ascorbic acid based on label-free silver triangular nanoplates. Curr Res Food Sci 2023; 7:100548. [PMID: 37534308 PMCID: PMC10391723 DOI: 10.1016/j.crfs.2023.100548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 07/01/2023] [Accepted: 07/09/2023] [Indexed: 08/04/2023] Open
Abstract
In this study, a new method for the detection of ascorbic acid (AA) was proposed. It was based on the protective effect of AA on silver triangular nanoplates (Ag TNPs) against Cl- induced etching reactions. Cl- can attack the corners of Ag TNPs and etch them, causing a morphological shift from triangular nanoplates to nanodiscs. As a result, the solution changes color from blue to yellow. However, in the presence of AA, the corners of Ag TNPs can be protected from Cl- etching, and the blue color of the solution remains unchanged. Using this effect, a selective sensor was designed to detect AA in the range of 0-40.00 μM with a detection limit of 2.17 μM. As the concentration of AA varies in this range, color changes from yellow to blue can be easily observed, so the designed sensor can be used for colorimetric detection. This method can be used to analyze fruit juice samples.
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Affiliation(s)
- Wenteng Qiao
- College of Food Engineering, Ludong University, Yantai 264025, Shandong, China
| | - Yushen Liu
- College of Food Engineering, Ludong University, Yantai 264025, Shandong, China
- Bio-Nanotechnology Research Institute, Ludong University, Yantai, 264025, Shandong, China
| | - Xiaotong Fan
- College of Food Engineering, Ludong University, Yantai 264025, Shandong, China
| | - Yunfeng Yang
- College of Food Engineering, Ludong University, Yantai 264025, Shandong, China
| | - Wenmei Liu
- College of Food Engineering, Ludong University, Yantai 264025, Shandong, China
| | - Luliang Wang
- College of Food Engineering, Ludong University, Yantai 264025, Shandong, China
- Bio-Nanotechnology Research Institute, Ludong University, Yantai, 264025, Shandong, China
| | - Zhenhua Hu
- College of Food Engineering, Ludong University, Yantai 264025, Shandong, China
- Bio-Nanotechnology Research Institute, Ludong University, Yantai, 264025, Shandong, China
| | - Fangjie Liu
- College of Food Engineering, Ludong University, Yantai 264025, Shandong, China
- Bio-Nanotechnology Research Institute, Ludong University, Yantai, 264025, Shandong, China
| | - Chengwu Jin
- College of Food Engineering, Ludong University, Yantai 264025, Shandong, China
| | - Xuemei Sun
- College of Food Engineering, Ludong University, Yantai 264025, Shandong, China
| | - Daotan Liu
- College of Food Engineering, Ludong University, Yantai 264025, Shandong, China
| | - Quanwen Liu
- College of Food Engineering, Ludong University, Yantai 264025, Shandong, China
| | - Lin Li
- Yantai Food and Drug Inspection and Testing Center, Yantai 264035, Shandong, China
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6
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Li T, Zhu X, Hai X, Bi S, Zhang X. Recent Progress in Sensor Arrays: From Construction Principles of Sensing Elements to Applications. ACS Sens 2023; 8:994-1016. [PMID: 36848439 DOI: 10.1021/acssensors.2c02596] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
The traditional sensors are designed based on the "lock-and-key" strategy with high selectivity and specificity for detecting specific analytes, which however are not suitable for detecting multiple analytes simultaneously. With the help of pattern recognition technologies, the sensor arrays excel in distinguishing subtle changes caused by multitarget analytes with similar structures in a complex system. To construct a sensor array, the multiple sensing elements are undoubtedly indispensable units that will selectively interact with targets to generate the unique "fingerprints" based on the distinct responses, enabling the identification among various analytes through pattern recognition methods. This comprehensive review mainly focuses on the construction strategies and principles of sensing elements, as well as the applications of sensor array for identification and detection of target analytes in a wide range of fields. Furthermore, the present challenges and further perspectives of sensor arrays are discussed in detail.
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Affiliation(s)
- Tian Li
- College of Chemistry and Chemical Engineering, Research Center for Intelligent and Wearable Technology, Qingdao University, Qingdao 266071, P. R. China
| | - Xueying Zhu
- College of Chemistry and Chemical Engineering, Research Center for Intelligent and Wearable Technology, Qingdao University, Qingdao 266071, P. R. China
| | - Xin Hai
- College of Chemistry and Chemical Engineering, Research Center for Intelligent and Wearable Technology, Qingdao University, Qingdao 266071, P. R. China
| | - Sai Bi
- College of Chemistry and Chemical Engineering, Research Center for Intelligent and Wearable Technology, Qingdao University, Qingdao 266071, P. R. China
| | - Xueji Zhang
- School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen, Guangdong 518060, P. R. China
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7
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Colorimetric sensor arrays for the differentiation of baijiu based on amino-acid-modified gold nanoparticles. Sci Rep 2022; 12:18596. [PMID: 36329105 PMCID: PMC9633599 DOI: 10.1038/s41598-022-21234-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 09/26/2022] [Indexed: 11/06/2022] Open
Abstract
It is of great significance for quality control to realize the discrimination for baijiu from different brands and origins. Strong-aroma-type baijiu (SAB), one of the most important Chinese aroma-type baijiu, exhibits the largest variety and market share. In this study, we proposed colorimetric sensor arrays based on gold nanoparticles (AuNPs) modified with different amino acids (AAs) to recognize the organic acids, and further distinguish different SABs. Three representative AAs, namely methionine (Met), tryptophan (Trp), and histidine (His), were selected to modify the AuNPs surface. The investigation of the effect of the main ingredients of SAB on AA@AuNPs aggregation confirmed that this aggregation mainly resulted from organic acids. Moreover, this aggregation was successfully used for differentiating 11 organic acids. Different pH conditions can not only cause changes of the content of organic acids in baijiu, but also disrupt the balance among flavor substances of baijiu to some extent. Consequently, the AA@AuNPs arrays under two pH conditions have been successfully applied to distinguish 14 kinds of SABs from different brands and origins. The proposed colorimetric sensor method is simple, rapid, and visualized and provides a potential application prospect for the quality control of baijiu and other alcoholic beverages.
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8
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Lu L, Hu Z, Hu X, Li D, Tian S. Electronic tongue and electronic nose for food quality and safety. Food Res Int 2022; 162:112214. [DOI: 10.1016/j.foodres.2022.112214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 11/02/2022] [Accepted: 11/15/2022] [Indexed: 11/18/2022]
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9
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Tian Y, Wang P, Du L, Wu C. Advances in gustatory biomimetic biosensing technologies: In vitro and in vivo bioelectronic tongue. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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10
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He M, Li J, Zhao D, Ma Y, Zhang J, Qiao C, Li Z, Huo D, Hou C. One metal-ion-regulated AgTNPs etching sensor array for visual discrimination of multiple organic acids. APPLIED OPTICS 2022; 61:4843-4850. [PMID: 36255968 DOI: 10.1364/ao.456278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 04/26/2022] [Indexed: 06/16/2023]
Abstract
The detection and discrimination of organic acids (OAs) is of great importance in the early diagnosis of specific diseases. In this study, we established an effective visual sensor array for the identification of OA. This is the first time, to our best knowledge, that metal ions were used to regulate the etching of silver triangular nanoprisms (AgTNPs) in an OA discrimination sensor array. The sensor array was based on the oxidation etching of AgTNPs by three metal ions (Mn2+, Pb2+, and Cr3+) and accelerated etching of AgTNPs by OA. The introduction of metal ions alone led to a slight wavelength shift of the AgTNPs colloid solution, signifying the incomplete etching of the AgTNPs. Nevertheless, when metal ions and OA were introduced simultaneously to the solution, a significant blueshift of the localized surface plasmon resonance peak was detected, and a color change of the AgTNPs was observed, which were the consequences of morphological transitions of the AgTNPs. The addition of different OA accelerated AgTNPs etching in varying degrees, generating diverse colorimetric response patterns (i.e., RGB variations) as "fingerprints" associated with each specific organic acid. Pattern recognition algorithms and neural network simulation were employed to further data analysis, indicating the outstanding discrimination capability of the provided array for eight OA at the 33 µM level. Moreover, excellent results of selective experiments as well as real samples tests demonstrate that our proposed method possesses great potential for practical applications.
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11
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Chang B, Zhang L, Wu S, Sun Z, Cheng Z. Engineering single-atom catalysts toward biomedical applications. Chem Soc Rev 2022; 51:3688-3734. [PMID: 35420077 DOI: 10.1039/d1cs00421b] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Due to inherent structural defects, common nanocatalysts always display limited catalytic activity and selectivity, making it practically difficult for them to replace natural enzymes in a broad scope of biologically important applications. By decreasing the size of the nanocatalysts, their catalytic activity and selectivity will be substantially improved. Guided by this concept, the advances of nanocatalysts now enter an era of atomic-level precise control. Single-atom catalysts (denoted as SACs), characterized by atomically dispersed active sites, strikingly show utmost atomic utilization, precisely located metal centers, unique metal-support interactions and identical coordination environments. Such advantages of SACs drastically boost the specific activity per metal atom, and thus provide great potential for achieving superior catalytic activity and selectivity to functionally mimic or even outperform natural enzymes of interest. Although the size of the catalysts does matter, it is not clear whether the guideline of "the smaller, the better" is still correct for developing catalysts at the single-atom scale. Thus, it is clearly a new, urgent issue to address before further extending SACs into biomedical applications, representing an important branch of nanomedicine. This review begins by providing an overview of recent advances of synthesis strategies of SACs, which serve as a basis for the discussion of emerging achievements in improving the enzyme-like catalytic properties at an atomic level. Then, we carefully compare the structures and functions of catalysts at various scales from nanoparticles, nanoclusters, and few-atom clusters to single atoms. Contrary to conventional wisdom, SACs are not the most catalytically active catalysts in specific reactions, especially those requiring multi-site auxiliary activities. After that, we highlight the unique roles of SACs toward biomedical applications. To appreciate these advances, the challenges and prospects in rapidly growing studies of SACs-related catalytic nanomedicine are also discussed in this review.
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Affiliation(s)
- Baisong Chang
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, P. R. China.
| | - Liqin Zhang
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, P. R. China.
| | - Shaolong Wu
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, P. R. China.
| | - Ziyan Sun
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, P. R. China.
| | - Zhen Cheng
- State Key Laboratory of Drug Research, Molecular Imaging Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, P. R. China. .,Bohai rim Advanced Research Institute for Drug Discovery, Yantai, 264000, China.,Molecular Imaging Program at Stanford (MIPS), Department of Radiology and Bio-X Program, Stanford University, California 94305, USA
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12
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Simple, rapid, portable and quantitative sensing of Fe3+ ions via analyte-triggered redox reactions mediating Tyndall effect enhancement of Au nanoparticles. Microchem J 2022. [DOI: 10.1016/j.microc.2021.107075] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
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13
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Zhao M, Lin X, Zhou X, Zhang Y, Wu H, Liu Y. Single Probe-Based Chemical-Tongue Sensor Array for Multiple Bacterial Identification and Photothermal Sterilization in Real Time. ACS APPLIED MATERIALS & INTERFACES 2022; 14:7706-7716. [PMID: 35109650 DOI: 10.1021/acsami.1c24042] [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] [Indexed: 06/14/2023]
Abstract
Simple and efficient identification of multiple bacteria and sterilization in real time is of considerable significance for clinical diagnostics and quality control in food. Herein, a novel chemical-tongue sensor array with 3,3',5,5'-tetramethylbenzidine (TMB) as a single probe was developed for bacterial identification and photothermal elimination. The synthesized bimetallic palladium/platinum nanoparticles (Pd/PtNPs) present excellent catalytic capability that can catalyze TMB into oxidized TMB (oxTMB) with four feature absorption peaks. Bacteria have different ability on inhibiting the reaction between TMB and Pd/PtNPs. With the absorbance intensity of oxTMB at the four feature peaks as readout, nine kinds of bacteria including two drug-resistant bacteria can be successfully distinguished via linear discriminant analysis. Remarkably, oxTMB exhibits excellent photothermal properties and can effectively kill bacteria in real time under near-infrared laser irradiation. The strategy of selecting TMB as a single probe simplifies the experimental operation and reduces the time cost. Furthermore, the developed sensing system was used to promote the wound healing process of MRSA-infected mice in vivo. The investigation provides a promising simple and efficient strategy for bacterial identification and sterilization with a universal platform, which has great potential application in clinical diagnosis and therapy.
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Affiliation(s)
- Minyang Zhao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, P. R. China
| | - Xiaodong Lin
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, P. R. China
| | - Xiao Zhou
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, P. R. China
| | - Yujie Zhang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, P. R. 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, P. R. 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, P. R. China
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14
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Zhang X, Feng X, Zhou LL, Liu B, Chen Z, Zuo X. A colorimetric sensor array for rapid discrimination of edible oil species based on a halogen ion exchange reaction between CsPbBr 3 and iodide. Analyst 2022; 147:404-409. [DOI: 10.1039/d1an02109e] [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
Halogen exchange of iodides with CsPbBr3 NCs generates CsPbI3, which differs in its content and directly causes different photoluminescence responses.
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Affiliation(s)
- Xin Zhang
- Department of Chemistry, Capital Normal University, Beijing, 100048, P. R. China
| | - Xiaowei Feng
- Department of Chemistry, Capital Normal University, Beijing, 100048, P. R. China
| | - Leon Lee Zhou
- Department of Chemistry, Capital Normal University, Beijing, 100048, P. R. China
| | - Bin Liu
- Department of Chemistry, Capital Normal University, Beijing, 100048, P. R. China
| | - Zhengbo Chen
- Department of Chemistry, Capital Normal University, Beijing, 100048, P. R. China
| | - Xia Zuo
- Department of Chemistry, Capital Normal University, Beijing, 100048, P. R. China
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15
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Li L, Gu X, Wang J, Chen Z. Amino Acid Detection with Bare Eyes Based on Two Different Concentrations of Iodides as Sensor Receptors. FOOD ANAL METHOD 2021. [DOI: 10.1007/s12161-021-02023-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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16
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Kiani H, Beheshti B, Borghei AM, Rahmati MH. Application of a voltammetric electronic tongue combined with chemometric approaches for the early classification of heavy metals in sunflower oil. J FOOD PROCESS PRES 2021. [DOI: 10.1111/jfpp.15563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Hassan Kiani
- Department of Agriculture Machinery, Science and Research Branch Islamic Azad University Tehran Iran
| | - Babak Beheshti
- Department of Agriculture Machinery, Science and Research Branch Islamic Azad University Tehran Iran
| | - Ali Mohammad Borghei
- Department of Agriculture Machinery, Science and Research Branch Islamic Azad University Tehran Iran
| | - Mohammad Hashem Rahmati
- Department of Biosystem Mechanical Engineering Gorgan University of Agricultural Sciences and Natural Resources Gorgan Iran
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17
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Liu B, Xue Y, Gao Z, Tang K, Wang G, Chen Z, Zuo X. Antioxidant identification using a colorimetric sensor array based on Co-N-C nanozyme. Colloids Surf B Biointerfaces 2021; 208:112060. [PMID: 34450512 DOI: 10.1016/j.colsurfb.2021.112060] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/18/2021] [Accepted: 08/19/2021] [Indexed: 02/07/2023]
Abstract
Here we develop a simple and effective nose/tongue sensor array based on Co-N-C single-atom nanozymes-3,3',5,5'-tetramethylbenzidine (TMB)-H2O2 for colorimetric discrimination of antioxidants, which makes use of the color reaction of TMB oxidation by H2O2 in two different pH (3.8 and 4.6) environments under the catalysis of Co-N-C nanoenzyme with peroxidase-like activity. Different antioxidants have varying reducing ability to the oxidation products of TMB (oxTMB), thus resulting in differential absorbance and color changes. Linear discriminant analysis (LDA) results indicate that the sensor array successfully identified 7 antioxidants, i.e., glutathione (GSH), ascorbic acid (AA), cysteine (Cys), tannin (TA), Catechin (C), dopamine (DA), and uric acid (UA) in both buffer and even serum samples. Additionally, the performance of the sensor array was validated with antioxidant mixtures, individual antioxidants with different concentrations, and target antioxidants and interfering substances. In general, the versatile sensor array based on Co-N-C single-atom nanozymes provides an excellent strategy for identifying a variety of antioxidants, which exhibits a broad application prospect in medical diagnosis.
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Affiliation(s)
- Bin Liu
- College of Life Sciences, Capital Normal University, Beijing, 100048, China; Department of Chemistry, Capital Normal University, Beijing, 100048, China
| | - Yuting Xue
- Department of Chemistry, Capital Normal University, Beijing, 100048, China
| | - Zeyu Gao
- Department of Chemistry, Capital Normal University, Beijing, 100048, China
| | - Keru Tang
- Department of Chemistry, Capital Normal University, Beijing, 100048, China
| | - Guo Wang
- Department of Chemistry, Capital Normal University, Beijing, 100048, China
| | - Zhengbo Chen
- Department of Chemistry, Capital Normal University, Beijing, 100048, China.
| | - Xia Zuo
- Department of Chemistry, Capital Normal University, Beijing, 100048, China.
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18
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Wang F, Na N, Ouyang J. Particle-in-a-frame gold nanomaterials with an interior nanogap-based sensor array for versatile analyte detection. Chem Commun (Camb) 2021; 57:4520-4523. [PMID: 33956027 DOI: 10.1039/d1cc01094h] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
In this work, we studied the catalytic performance of gold nanomaterials, specifically a particle-in-a-frame nanostructure (PIAF) with interior nanogaps. Au PIAF was used to catalyse the 3,3',5,5'-tetramethylbenzidine (TMB) reaction. This array could accurately identify 7 proteins, 5 antioxidants, and 3 cell types.
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Affiliation(s)
- Feiyang Wang
- Key Laboratory of Theoretical and Computational Photochemistry, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Na Na
- Key Laboratory of Theoretical and Computational Photochemistry, College of Chemistry, Beijing Normal University, Beijing 100875, China.
| | - Jin Ouyang
- Key Laboratory of Theoretical and Computational Photochemistry, College of Chemistry, Beijing Normal University, Beijing 100875, China.
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19
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Hou M, Fan L, Fan X, Liang X, Zhang W, Ding Y. Pyrene-porphyrin based ratiometric fluorescent sensor array for discrimination of glycosaminoglycans. Anal Chim Acta 2021; 1141:214-220. [PMID: 33248655 DOI: 10.1016/j.aca.2020.10.052] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 10/17/2020] [Accepted: 10/24/2020] [Indexed: 11/17/2022]
Abstract
Accurate discrimination of common glycosaminoglycans (GAGs) before they are used in clinics is of great importance. Herein, a ratiometric sensor array Py-PP for discrimination of GAGs was constructed using three pyrene-porphyrin supramolecular complexes termed Py-PP1, Py-PP2 and Py-PP4. These complexes were readily synthesized by mixing pyrene-1-butyric acid (Py) and porphyrins PP1, PP2 and PP4 respectively. In the presence GAGs, the effective FRET from Py to porphyrin in the complex was influenced as a result of the competitive binding interactions between porphyrin and GAG. Controlled by the structural differences in the three porphyrins, complexes Py-PP1, Py-PP2 and Py-PP4 were determined to be cross-responsive towards tested GAGs including Hep, HA, Chs and DS. Distinctive fluorescence patterns were successfully generated for each GAG by the sensor array. The Py-PP sensor array was found to be powerful for discrimination of GAGs in both PBS and 5% serum media. Moreover, Py-PP was also successfully applied for reliable differentiation of Hep from other biological interferences and detection of trace GAG contaminants (0.1%, wt%) in Hep with 100% accuracy.
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Affiliation(s)
- Meiting Hou
- Jiangsu Key Laboratory of Pesticide Science, Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China
| | - Liangfei Fan
- Jiangsu Key Laboratory of Pesticide Science, Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China
| | - Xia Fan
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China
| | - Xin Liang
- Jiangsu Key Laboratory of Pesticide Science, Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China
| | - Weihua Zhang
- Jiangsu Key Laboratory of Pesticide Science, Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China
| | - Yubin Ding
- Jiangsu Key Laboratory of Pesticide Science, Department of Chemistry, College of Sciences, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China; State Key Laboratory of Fine Chemicals, Dalian University of Technology, Dalian, 116024, China.
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20
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Jing W, Cui X, Kong F, Wei W, Li Y, Fan L, Li X. Fe–N/C single-atom nanozyme-based colorimetric sensor array for discriminating multiple biological antioxidants. Analyst 2021; 146:207-212. [DOI: 10.1039/d0an01447h] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Fe–C/N single-atom nanozyme with oxidase-like activity was applied to constructed a triple-channel colorimetric sensor array for discriminating l-Cys, GSH, UA, AA and MT.
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Affiliation(s)
- Wenjie Jing
- Key Laboratory of Theoretical and Computational Photochemistry
- Ministry of Education
- College of Chemistry
- Beijing Normal University
- Beijing
| | - Xiangkun Cui
- Department of Chemistry
- Capital Normal University
- Beijing
- China
| | - Fanbo Kong
- Key Laboratory of Theoretical and Computational Photochemistry
- Ministry of Education
- College of Chemistry
- Beijing Normal University
- Beijing
| | - Wei Wei
- Department of Chemistry
- Capital Normal University
- Beijing
- China
| | - Yunchao Li
- Key Laboratory of Theoretical and Computational Photochemistry
- Ministry of Education
- College of Chemistry
- Beijing Normal University
- Beijing
| | - Louzhen Fan
- Key Laboratory of Theoretical and Computational Photochemistry
- Ministry of Education
- College of Chemistry
- Beijing Normal University
- Beijing
| | - Xiaohong Li
- Key Laboratory of Theoretical and Computational Photochemistry
- Ministry of Education
- College of Chemistry
- Beijing Normal University
- Beijing
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21
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Scroccarello A, Della Pelle F, Ferraro G, Fratini E, Tempera F, Dainese E, Compagnone D. Plasmonic active film integrating gold/silver nanostructures for H 2O 2 readout. Talanta 2020; 222:121682. [PMID: 33167288 DOI: 10.1016/j.talanta.2020.121682] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 09/13/2020] [Accepted: 09/15/2020] [Indexed: 12/16/2022]
Abstract
A nanostructured Ag/Au adhesive film for H2O2 reagentless determination is here proposed. The film has been realised onto ELISA polystyrene microplates. Microwells surface has been initially modified with a gold nanoparticles (AuNPs)/polydopamine thin-film. The pristine AuNPs-decorated film was later functionalized with catechin (Au-CT) allowing a uniform formation of a plasmonic active nanostructured silver network in presence of Ag+. Changes in localized surface plasmon resonance (LSPR) of the silver network upon addition of H2O2 has been used as analytical signal, taking advantage of the etching phenomenon. The Ag/Au nanocomposite-film is characterized by a well-defined (LSPRmax = 405 ± 5 nm), reproducible (intraplate RSD ≤ 9.8%, n = 96; inter-plate RSD ≤ 11.4%, n = 480) and stable LSPR signal. The film's analytical features have been tested for H2O2 and glucose (bio)sensing. Satisfactory analytical performances were obtained both for H2O2 (linear range 1-200 μM, R2 = 0.9992, RSD ≤ 6.3%, LOD = 0.2 μM) and glucose (linear range 2-250 μM, R2 = 0.9998, RSD ≤ 8.9%, LOD = 0.4 μM). As proof of applicability, the determination of the two analytes in soft drinks has been carried out achieving good and reproducible recoveries (84-111%; RSD ≤ 9%). The developed nanostructured film overcomes analytical drawbacks associated with the use of colloidal dispersions in plasmonic assays carried out in solution; the low cost, robustness, ease of use and possibility of coupling enzymatic reactions appears very promising for (bio)sensors based on the detection of H2O2.
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Affiliation(s)
- Annalisa Scroccarello
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Via Renato Balzarini 1, 64100, Teramo, Italy
| | - Flavio Della Pelle
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Via Renato Balzarini 1, 64100, Teramo, Italy.
| | - Giovanni Ferraro
- Department of Chemistry "Ugo Schiff" and CSGI, University of Florence, Via Della Lastruccia 3-Sesto Fiorentino, I-50019, Florence, Italy
| | - Emiliano Fratini
- Department of Chemistry "Ugo Schiff" and CSGI, University of Florence, Via Della Lastruccia 3-Sesto Fiorentino, I-50019, Florence, Italy
| | - Francesco Tempera
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Via Renato Balzarini 1, 64100, Teramo, Italy
| | - Enrico Dainese
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Via Renato Balzarini 1, 64100, Teramo, Italy
| | - Dario Compagnone
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Via Renato Balzarini 1, 64100, Teramo, Italy.
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22
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Zhang C, Huang J, Wei W, Chen Z. Colorimetric identification of lanthanide ions based on two carboxylic acids as an artificial tongue. Analyst 2020; 145:3359-3363. [PMID: 32232246 DOI: 10.1039/d0an00357c] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
We report a colorimetric array, which consists of two carboxylic acids (quinolinic acid (QA), tannic acid (TCA)) as the sensor element and Eriochrome Black T (EBT) as the colorimetric signal readout. The assay is based on coordination binding between lanthanide ions and EBT, and between lanthanide ions and the carboxylic acids. The competitive binding of lanthanide ions with the carboxylic acids and EBT leads to the change in absorbance and color of the solutions. To test the efficacy of our sensor array, the sensor array was exposed to five target lanthanide ions (La3+, Sm3+, Eu3+, Gd3+ and Yb3+) with diverse concentrations (10, 50, 100, 200, 300, 400, and 500 nM). Linear discriminant analysis (LDA) results show that the sensor array can identify the five lanthanide ions, with a low discrimination limit of 10 nM. More importantly, the sensor array realizes fast discrimination of lanthanide ions in river samples, showing potential in environmental monitoring.
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Affiliation(s)
- Chi Zhang
- Department of Chemistry, Capital Normal University, Beijing, 100048, China.
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23
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Zhang C, Li L, Liu Q, Chen Z. Colorimetric Differentiation of Multiple Oxidizing Anions Based on Two Core-Shell Au@Ag Nanoparticles with Different Morphologies as Array Recognition Elements. Anal Chem 2020; 92:7123-7129. [PMID: 32320215 DOI: 10.1021/acs.analchem.0c00508] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
The efficient discrimination of oxidizing anions is of considerable importance in environmental monitoring. Here, for the first time, we have developed a simple and fast colorimetric sensor array for detection and identification of oxidizing anions, which takes advantage of the etching of the Ag shell of two core-shell Au@Ag nanoparticles (Au@Ag nanospheres (Au@Ag NPs) and Au@Ag nanocubes (Au@Ag NCs)) by oxidizing anions. The differential etching ability of various oxidizing anions to the Ag shell of the two Au@Ag nanoparticles resulted in different absorbance and color change of the nanoparticles. Thus, employing Au@Ag NPs and Au@Ag NCs as the array's receptors and the indicators, six oxidizing anions (i.e., BrO3-, Cr2O72-, ClO4-, IO3-, IO4-, and MnO4-) down to 10 nM could be identified from each other by their own colorimetric response patterns. Moreover, the complex mixtures of oxidizing anions could be well discriminated. Most importantly, the sensor array was successfully applied to the discrimination of oxidizing anions in river water and tap water samples.
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Affiliation(s)
- Chi Zhang
- Department of Chemistry, Capital Normal University, Beijing, 100048, China
| | - Luwen Li
- Department of Chemistry, Capital Normal University, Beijing, 100048, China
| | - Qingyun Liu
- College of Chemistry and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266510, China
| | - Zhengbo Chen
- Department of Chemistry, Capital Normal University, Beijing, 100048, China
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