Calixarene-Based Supramolecular Sensor Array for Pesticide Discrimination
The identification and detection of pesticides is crucial to protecting both the environment and human health. However, it can be challenging to conveniently and rapidly differentiate between different types of pesticides. We developed a supramolecular fluorescent sensor array, in which calixarenes...
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Published in | Sensors (Basel, Switzerland) Vol. 24; no. 12; p. 3743 |
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Abstract | The identification and detection of pesticides is crucial to protecting both the environment and human health. However, it can be challenging to conveniently and rapidly differentiate between different types of pesticides. We developed a supramolecular fluorescent sensor array, in which calixarenes with broad-spectrum encapsulation capacity served as recognition receptors. The sensor array exhibits distinct fluorescence change patterns for seven tested pesticides, encompassing herbicides, insecticides, and fungicides. With a reaction time of just three minutes, the sensor array proves to be a rapid and efficient tool for the discrimination of pesticides. Furthermore, this supramolecular sensing approach can be easily extended to enable real-time and on-site visual detection of varying concentrations of imazalil using a smartphone with a color scanning application. This work not only provides a simple and effective method for pesticide identification and quantification, but also offers a versatile and advantageous platform for the recognition of other analytes in relevant fields. |
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AbstractList | The identification and detection of pesticides is crucial to protecting both the environment and human health. However, it can be challenging to conveniently and rapidly differentiate between different types of pesticides. We developed a supramolecular fluorescent sensor array, in which calixarenes with broad-spectrum encapsulation capacity served as recognition receptors. The sensor array exhibits distinct fluorescence change patterns for seven tested pesticides, encompassing herbicides, insecticides, and fungicides. With a reaction time of just three minutes, the sensor array proves to be a rapid and efficient tool for the discrimination of pesticides. Furthermore, this supramolecular sensing approach can be easily extended to enable real-time and on-site visual detection of varying concentrations of imazalil using a smartphone with a color scanning application. This work not only provides a simple and effective method for pesticide identification and quantification, but also offers a versatile and advantageous platform for the recognition of other analytes in relevant fields. The identification and detection of pesticides is crucial to protecting both the environment and human health. However, it can be challenging to conveniently and rapidly differentiate between different types of pesticides. We developed a supramolecular fluorescent sensor array, in which calixarenes with broad-spectrum encapsulation capacity served as recognition receptors. The sensor array exhibits distinct fluorescence change patterns for seven tested pesticides, encompassing herbicides, insecticides, and fungicides. With a reaction time of just three minutes, the sensor array proves to be a rapid and efficient tool for the discrimination of pesticides. Furthermore, this supramolecular sensing approach can be easily extended to enable real-time and on-site visual detection of varying concentrations of imazalil using a smartphone with a color scanning application. This work not only provides a simple and effective method for pesticide identification and quantification, but also offers a versatile and advantageous platform for the recognition of other analytes in relevant fields.The identification and detection of pesticides is crucial to protecting both the environment and human health. However, it can be challenging to conveniently and rapidly differentiate between different types of pesticides. We developed a supramolecular fluorescent sensor array, in which calixarenes with broad-spectrum encapsulation capacity served as recognition receptors. The sensor array exhibits distinct fluorescence change patterns for seven tested pesticides, encompassing herbicides, insecticides, and fungicides. With a reaction time of just three minutes, the sensor array proves to be a rapid and efficient tool for the discrimination of pesticides. Furthermore, this supramolecular sensing approach can be easily extended to enable real-time and on-site visual detection of varying concentrations of imazalil using a smartphone with a color scanning application. This work not only provides a simple and effective method for pesticide identification and quantification, but also offers a versatile and advantageous platform for the recognition of other analytes in relevant fields. |
Author | Pan, Yu-Chen Guo, Dong-Sheng Chen, Yeye Tian, Han-Wen Ma, Rong Wang, Ze-Han Hu, Xin-Yue Tian, Jia-Hong |
AuthorAffiliation | College of Chemistry, State Key Laboratory of Elemento-Organic Chemistry, Key Laboratory of Functional Polymer Materials (Ministry of Education), Frontiers Science Center for New Organic Matter, Collaborative Innovation Center of Chemical Science and Engineering, Nankai University, Tianjin 300071, China |
AuthorAffiliation_xml | – name: College of Chemistry, State Key Laboratory of Elemento-Organic Chemistry, Key Laboratory of Functional Polymer Materials (Ministry of Education), Frontiers Science Center for New Organic Matter, Collaborative Innovation Center of Chemical Science and Engineering, Nankai University, Tianjin 300071, China |
Author_xml | – sequence: 1 givenname: Yeye surname: Chen fullname: Chen, Yeye – sequence: 2 givenname: Jia-Hong surname: Tian fullname: Tian, Jia-Hong – sequence: 3 givenname: Han-Wen surname: Tian fullname: Tian, Han-Wen – sequence: 4 givenname: Rong surname: Ma fullname: Ma, Rong – sequence: 5 givenname: Ze-Han surname: Wang fullname: Wang, Ze-Han – sequence: 6 givenname: Yu-Chen surname: Pan fullname: Pan, Yu-Chen – sequence: 7 givenname: Xin-Yue surname: Hu fullname: Hu, Xin-Yue – sequence: 8 givenname: Dong-Sheng surname: Guo fullname: Guo, Dong-Sheng |
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SubjectTerms | Agricultural production Arrays Biosensing Techniques - methods calixarene Calixarenes - chemistry Chromatography Communication Crop diseases discrimination Food chains Food contamination & poisoning Fungicides Herbicides Insecticides Mass spectrometry pesticide Pesticides Pesticides - analysis Plant diseases Public health Scientific imaging sensor array Sensors Signal transduction Smartphone Spectrometry, Fluorescence - methods supramolecular chemistry |
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Title | Calixarene-Based Supramolecular Sensor Array for Pesticide Discrimination |
URI | https://www.ncbi.nlm.nih.gov/pubmed/38931527 https://www.proquest.com/docview/3072727008 https://www.proquest.com/docview/3072813263 https://pubmed.ncbi.nlm.nih.gov/PMC11207328 https://doaj.org/article/c9a83248e83e48dfbd85410250f361f5 |
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