A Ratiometric Molecularly Imprinted Sensor for Visual Detection and Removal of α‑Dicarbonyl Compounds Based on Biomass Carbon Dot-Embedded Fluorescent Covalent Organic Frameworks
α-Dicarbonyl compounds (α-DCs) are important intermediate products during the thermal processing of foods and are closely related to the development of chronic diseases in the human body. However, there remains a significant gap in the availability of rapid detection methods for α-DCs. So, the ratio...
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| Veröffentlicht in: | ACS sensors 2024-06, Vol.9 (6), p.3338-3345 |
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| creator | He, Jingbo Chen, Yunhai Liu, Huilin Sun, Baoguo |
| description | α-Dicarbonyl compounds (α-DCs) are important intermediate products during the thermal processing of foods and are closely related to the development of chronic diseases in the human body. However, there remains a significant gap in the availability of rapid detection methods for α-DCs. So, the ratiometric molecularly imprinted polymers (RCDs@GCOFs@MIPs) based on red-emitting biomass carbon dots (RCDs) and green-emitting fluorescent covalent organic frameworks (GCOFs) were constructed for the detection and removal of α-DCs in food processing. The ratiometric fluorescent sensors exhibited satisfactory detection and had good spiking recoveries in milk samples. And the excellent inhibition of pyrraline (PRL) by ratiometric fluorescent sensors was verified by simulating the milk pasteurization process. In addition, rapid onsite detection of α-DCs was achieved by recognizing the RGB value of the ratiometric fluorescence sensors via the smartphone. The ratiometric fluorescence sensors presented a new strategy for detecting and removing hazardous substances in food processing. |
| doi_str_mv | 10.1021/acssensors.4c00665 |
| format | Article |
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The ratiometric fluorescence sensors presented a new strategy for detecting and removing hazardous substances in food processing.</description><identifier>ISSN: 2379-3694</identifier><identifier>EISSN: 2379-3694</identifier><identifier>DOI: 10.1021/acssensors.4c00665</identifier><identifier>PMID: 38814087</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Animals ; Biomass ; Carbon - chemistry ; Fluorescent Dyes - chemistry ; Food Contamination - analysis ; Limit of Detection ; Metal-Organic Frameworks - chemistry ; Milk - chemistry ; Molecular Imprinting - methods ; Molecularly Imprinted Polymers - chemistry ; Quantum Dots - chemistry ; Spectrometry, Fluorescence - methods</subject><ispartof>ACS sensors, 2024-06, Vol.9 (6), p.3338-3345</ispartof><rights>2024 American Chemical Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-a223t-5f9cd46a0e30aa24efa6394650614d3bc78fcd5442636ef8059eca38338af4433</cites><orcidid>0000-0002-7912-2611</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acssensors.4c00665$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acssensors.4c00665$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,780,784,2765,27076,27924,27925,56738,56788</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38814087$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>He, Jingbo</creatorcontrib><creatorcontrib>Chen, Yunhai</creatorcontrib><creatorcontrib>Liu, Huilin</creatorcontrib><creatorcontrib>Sun, Baoguo</creatorcontrib><title>A Ratiometric Molecularly Imprinted Sensor for Visual Detection and Removal of α‑Dicarbonyl Compounds Based on Biomass Carbon Dot-Embedded Fluorescent Covalent Organic Frameworks</title><title>ACS sensors</title><addtitle>ACS Sens</addtitle><description>α-Dicarbonyl compounds (α-DCs) are important intermediate products during the thermal processing of foods and are closely related to the development of chronic diseases in the human body. 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The ratiometric fluorescence sensors presented a new strategy for detecting and removing hazardous substances in food processing.</description><subject>Animals</subject><subject>Biomass</subject><subject>Carbon - chemistry</subject><subject>Fluorescent Dyes - chemistry</subject><subject>Food Contamination - analysis</subject><subject>Limit of Detection</subject><subject>Metal-Organic Frameworks - chemistry</subject><subject>Milk - chemistry</subject><subject>Molecular Imprinting - methods</subject><subject>Molecularly Imprinted Polymers - chemistry</subject><subject>Quantum Dots - chemistry</subject><subject>Spectrometry, Fluorescence - methods</subject><issn>2379-3694</issn><issn>2379-3694</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUtuFDEQhi0EIlHIBVggL9n04Lbdnu5lMpMhkYIihce2VWOXUQc_Brs7aHZcgaNkwTU4BCfByQyPFQvLlv1_f5XrJ-R5zWY14_Ur0DljyDHlmdSMKdU8IodczLtKqE4-_ud8QI5zvmGM1Y3iTcuekgPRtrVk7fyQfD-h1zAO0eOYBk3fRId6cpDcll74TRrCiIa-fShEbVkfhjyBo0scURcsUAiGXqOPt-U2Wvrj7ufXb8tBQ1rHsHV0Ef0mTsFkegq5WBXitFSDnOniQUOXcazO_BqNKc8rN8WEWWMYC1o87w9X6SOE0twqgccvMX3Kz8gTCy7j8X4_Iu9XZ-8W59Xl1euLxcllBZyLsWpsp41UwFAwAC7RghKdVA1TtTRireet1aaRkiuh0Las6VCDaIVowUopxBF5ufPdpPh5wjz2fijNOQcB45R7wcpEeSdYXaR8J9Up5pzQ9mV6HtK2r1l_n1j_N7F-n1iBXuz9p7VH8wf5nU8RzHaCAvc3cUqhfPd_jr8AWhOpfw</recordid><startdate>20240628</startdate><enddate>20240628</enddate><creator>He, Jingbo</creator><creator>Chen, Yunhai</creator><creator>Liu, Huilin</creator><creator>Sun, Baoguo</creator><general>American Chemical Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7912-2611</orcidid></search><sort><creationdate>20240628</creationdate><title>A Ratiometric Molecularly Imprinted Sensor for Visual Detection and Removal of α‑Dicarbonyl Compounds Based on Biomass Carbon Dot-Embedded Fluorescent Covalent Organic Frameworks</title><author>He, Jingbo ; Chen, Yunhai ; Liu, Huilin ; Sun, Baoguo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a223t-5f9cd46a0e30aa24efa6394650614d3bc78fcd5442636ef8059eca38338af4433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Animals</topic><topic>Biomass</topic><topic>Carbon - chemistry</topic><topic>Fluorescent Dyes - chemistry</topic><topic>Food Contamination - analysis</topic><topic>Limit of Detection</topic><topic>Metal-Organic Frameworks - chemistry</topic><topic>Milk - chemistry</topic><topic>Molecular Imprinting - methods</topic><topic>Molecularly Imprinted Polymers - chemistry</topic><topic>Quantum Dots - chemistry</topic><topic>Spectrometry, Fluorescence - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>He, Jingbo</creatorcontrib><creatorcontrib>Chen, Yunhai</creatorcontrib><creatorcontrib>Liu, Huilin</creatorcontrib><creatorcontrib>Sun, Baoguo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>ACS sensors</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>He, Jingbo</au><au>Chen, Yunhai</au><au>Liu, Huilin</au><au>Sun, Baoguo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Ratiometric Molecularly Imprinted Sensor for Visual Detection and Removal of α‑Dicarbonyl Compounds Based on Biomass Carbon Dot-Embedded Fluorescent Covalent Organic Frameworks</atitle><jtitle>ACS sensors</jtitle><addtitle>ACS Sens</addtitle><date>2024-06-28</date><risdate>2024</risdate><volume>9</volume><issue>6</issue><spage>3338</spage><epage>3345</epage><pages>3338-3345</pages><issn>2379-3694</issn><eissn>2379-3694</eissn><abstract>α-Dicarbonyl compounds (α-DCs) are important intermediate products during the thermal processing of foods and are closely related to the development of chronic diseases in the human body. However, there remains a significant gap in the availability of rapid detection methods for α-DCs. So, the ratiometric molecularly imprinted polymers (RCDs@GCOFs@MIPs) based on red-emitting biomass carbon dots (RCDs) and green-emitting fluorescent covalent organic frameworks (GCOFs) were constructed for the detection and removal of α-DCs in food processing. The ratiometric fluorescent sensors exhibited satisfactory detection and had good spiking recoveries in milk samples. And the excellent inhibition of pyrraline (PRL) by ratiometric fluorescent sensors was verified by simulating the milk pasteurization process. In addition, rapid onsite detection of α-DCs was achieved by recognizing the RGB value of the ratiometric fluorescence sensors via the smartphone. 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| subjects | Animals Biomass Carbon - chemistry Fluorescent Dyes - chemistry Food Contamination - analysis Limit of Detection Metal-Organic Frameworks - chemistry Milk - chemistry Molecular Imprinting - methods Molecularly Imprinted Polymers - chemistry Quantum Dots - chemistry Spectrometry, Fluorescence - methods |
| title | A Ratiometric Molecularly Imprinted Sensor for Visual Detection and Removal of α‑Dicarbonyl Compounds Based on Biomass Carbon Dot-Embedded Fluorescent Covalent Organic Frameworks |
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