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Liang M, Gao Y, Sun X, Kong RM, Xia L, Qu F. Metal-organic framework-based ratiometric point-of-care testing for quantitative visual detection of nitrite. JOURNAL OF HAZARDOUS MATERIALS 2024; 469:134021. [PMID: 38490146 DOI: 10.1016/j.jhazmat.2024.134021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/03/2024] [Accepted: 03/11/2024] [Indexed: 03/17/2024]
Abstract
Nitrite (NO2-) is categorized as a carcinogenic substance and is subjected to severe limitations in water and food. To safeguard the public's health, developing fast and convenient methods for determination of NO2- is of significance. Point-of-care testing (POCT) affords demotic measurement of NO2- and shows huge potential in future technology beyond those possible with traditional methods. Here, a novel ratiometric fluorescent nanoprobe (Ru@MOF-NH2) is developed by integrating UiO-66-NH2 with tris(2,2'-bipyridyl)ruthenium(II) ([Ru(bpy)3]2+) through a one-pot approach. The special diazo-reaction between the amino group of UiO-66-NH2 and NO2- is responsible for the report signal (blue emission) with high selectivity and the red emission from [Ru(bpy)3]2+ offers the reference signal. The proposed probe shows obviously distinguishable color change from blue to red towards NO2- via naked-eye. Moreover, using a smartphone as the detection device to read color hue, ultra-sensitive quantitative detection of NO2- is achieved with a low limit of detection at 0.6 μΜ. The accuracy and repeatability determined in spiked samples through quantitative visualization is in the range of 105 to 117% with a coefficient of variation below 4.3%. This POCT sensing platform presents a promising strategy for detecting NO2- and expands the potential applications for on-site monitoring in food and environment safety assessment.
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Affiliation(s)
- Maosheng Liang
- Chemistry and Chemical Engineering College, Qufu Normal University, Qufu, Shandong 273165, PR China
| | - Yifan Gao
- Chemistry and Chemical Engineering College, Qufu Normal University, Qufu, Shandong 273165, PR China
| | - Xiaoling Sun
- Chemistry and Chemical Engineering College, Qufu Normal University, Qufu, Shandong 273165, PR China
| | - Rong-Mei Kong
- Chemistry and Chemical Engineering College, Qufu Normal University, Qufu, Shandong 273165, PR China
| | - Lian Xia
- Chemistry and Chemical Engineering College, Qufu Normal University, Qufu, Shandong 273165, PR China.
| | - Fengli Qu
- Chemistry and Chemical Engineering College, Qufu Normal University, Qufu, Shandong 273165, PR China
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Deng S, Liu J, Han D, Yang X, Liu H, Zhang C, Blecker C. Synchronous fluorescence detection of nitrite in meat products based on dual-emitting dye@MOF and its portable hydrogel test kit. JOURNAL OF HAZARDOUS MATERIALS 2024; 463:132898. [PMID: 37939561 DOI: 10.1016/j.jhazmat.2023.132898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 10/07/2023] [Accepted: 10/29/2023] [Indexed: 11/10/2023]
Abstract
A novel ratiometric fluorescent nanoprobe (Rh6G@UIO-66-NH2) was fabricated for efficient nitrite (NO2-) detection in the present study. When NO2- was introduced, it interacted with the amino groups on the surface of Rh6G@UIO-66-NH2, forming diazonium salts that led to the quenching of blue fluorescence. With this strategy, a good linear relationship between NO2- concentration and the fluorescent intensity ratio of the nanoprobe in the range of 1-100 μM was established, with a detection limit of 0.021 μM. This dual-readout nanosensor was applied to analyze the concentration of NO2- in real meat samples, achieving satisfactory recovery rates of 94.72-104.52%, highlighting the practical potential of this method. Furthermore, a portable Gel/Rh6G@UIO-66-NH2 hydrogel test kit was constructed for on-spot dual-mode detection of NO2-. This kit allows for convenient colorimetric analysis and fluorometric detection when used in conjunction with a smartphone. All the photos taken with the portable kit was converted into digital information using ImageJ software. It provides colorimetric and fluorescent visual detection of NO2- over a range of 0.1-1.5 mM, achieving a direct quantitative tool for NO2- identification. This methodology presents a promising strategy for NO2- detection and expands the application prospects for on-spot monitoring of food safety assessment.
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Affiliation(s)
- Siyang Deng
- Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China; University of Liège, Gembloux Agro-Bio Tech, Unit of Food Science and Formulation, Passage des Déportés 2, Gembloux B-5030, Belgium
| | - Junmei Liu
- Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China; University of Liège, Gembloux Agro-Bio Tech, Unit of Food Science and Formulation, Passage des Déportés 2, Gembloux B-5030, Belgium
| | - Dong Han
- Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Xinting Yang
- Research Center for Information Technology, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
| | - Huan Liu
- Research Center for Information Technology, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China.
| | - Chunhui Zhang
- Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Christophe Blecker
- University of Liège, Gembloux Agro-Bio Tech, Unit of Food Science and Formulation, Passage des Déportés 2, Gembloux B-5030, Belgium
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Xu X, Ma M, Sun T, Zhao X, Zhang L. Luminescent Guests Encapsulated in Metal-Organic Frameworks for Portable Fluorescence Sensor and Visual Detection Applications: A Review. BIOSENSORS 2023; 13:bios13040435. [PMID: 37185510 PMCID: PMC10136468 DOI: 10.3390/bios13040435] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 03/23/2023] [Accepted: 03/27/2023] [Indexed: 05/17/2023]
Abstract
Metal-organic frameworks (MOFs) have excellent applicability in several fields and have significant structural advantages, due to their open pore structure, high porosity, large specific surface area, and easily modifiable and functionalized porous surface. In addition, a variety of luminescent guest (LG) species can be encapsulated in the pores of MOFs, giving MOFs a broader luminescent capability. The applications of a variety of LG@MOF sensors, constructed by doping MOFs with LGs such as lanthanide ions, carbon quantum dots, luminescent complexes, organic dyes, and metal nanoclusters, for fluorescence detection of various target analyses such as ions, biomarkers, pesticides, and preservatives are systematically introduced in this review. The development of these sensors for portable visual fluorescence sensing applications is then covered. Finally, the challenges that these sectors currently face, as well as the potential for future growth, are briefly discussed.
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Affiliation(s)
- Xu Xu
- College of Chemistry, Liaoning University, No. 66 Chongshan Middle Road, Shenyang 110036, China
| | - Muyao Ma
- College of Chemistry, Liaoning University, No. 66 Chongshan Middle Road, Shenyang 110036, China
| | - Tongxin Sun
- College of Chemistry, Liaoning University, No. 66 Chongshan Middle Road, Shenyang 110036, China
| | - Xin Zhao
- Ecology and Environmental Monitoring Center of Jilin Province, Changchun 130011, China
| | - Lei Zhang
- College of Chemistry, Liaoning University, No. 66 Chongshan Middle Road, Shenyang 110036, China
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LMOF serve as food preservative nanosensor for sensitive detection of nitrite in meat products. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.114030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Yang Z, Zhong Y, Zhou X, Zhang W, Yin Y, Fang W, Xue H. Metal-organic framework-based sensors for nitrite detection: a short review. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2022. [DOI: 10.1007/s11694-021-01270-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Du T, Huang L, Wang J, Sun J, Zhang W, Wang J. Luminescent metal-organic frameworks (LMOFs): An emerging sensing platform for food quality and safety control. Trends Food Sci Technol 2021. [DOI: 10.1016/j.tifs.2021.03.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Li Y, Zhao Y, Zhang W, Shao K, Zhou H. A Fluorescent Probe of Nitrite Based on Eu
3+
Functionalized Metal‐Organic Frameworks. Z Anorg Allg Chem 2021. [DOI: 10.1002/zaac.202100040] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Yanping Li
- College of Information Science and Engineering Changsha Normal University Changsha 410100 China
- State Key Laboratory of Silicon Materials Zhejiang University Hangzhou 310027 China
| | - Yajun Zhao
- College of Information Science and Engineering Changsha Normal University Changsha 410100 China
| | - Wei Zhang
- College of Information Science and Engineering Changsha Normal University Changsha 410100 China
| | - Kai Shao
- State Key Laboratory of Silicon Materials Zhejiang University Hangzhou 310027 China
| | - Huizhong Zhou
- Zhejiang Institute of Product Quality and Safety Inspection Hangzhou 310018 China
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A Cobalt-Organic Framework with Sensitive Detection of Fe3+, Cr2O72–, and CrO42– Ions in Water. J Inorg Organomet Polym Mater 2021. [DOI: 10.1007/s10904-021-01917-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Butova VV, Pankin IA, Burachevskaya OA, Vetlitsyna-Novikova KS, Soldatov AV. New fast synthesis of MOF-801 for water and hydrogen storage: Modulator effect and recycling options. Inorganica Chim Acta 2021. [DOI: 10.1016/j.ica.2020.120025] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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Fast and sensitive fluorescent detection of nitrite based on an amino-functionalized MOFs of UiO-66-NH2. J SOLID STATE CHEM 2020. [DOI: 10.1016/j.jssc.2020.121323] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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Dolgopolova EA, Berseneva AA, Faillace MS, Ejegbavwo OA, Leith GA, Choi SW, Gregory HN, Rice AM, Smith MD, Chruszcz M, Garashchuk S, Mythreye K, Shustova NB. Confinement-Driven Photophysics in Cages, Covalent−Organic Frameworks, Metal–Organic Frameworks, and DNA. J Am Chem Soc 2020; 142:4769-4783. [DOI: 10.1021/jacs.9b13505] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Ekaterina A. Dolgopolova
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Anna A. Berseneva
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Martín S. Faillace
- INFIQC-UNC, CONICET, Departamento de Fisicoquímica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba X5000HUA, Argentina
| | - Otega A. Ejegbavwo
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Gabrielle A. Leith
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Seok W. Choi
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Haley N. Gregory
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Allison M. Rice
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Mark D. Smith
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Maksymilian Chruszcz
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Sophya Garashchuk
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Karthikeyan Mythreye
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Natalia B. Shustova
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
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