Safeguarding food safety: Nanomaterials-based fluorescent sensors for pesticide tracing
Pesticide residue contamination has emerged as a critical concern due to its potential negative effects on both public health and the natural environment. Consequently, the detection of pesticide residue is of utmost importance. Nanomaterial-based fluorescence sensors, including metal nanoparticles...
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| Vydáno v: | Food chemistry Ročník 463; číslo Pt 3; s. 141288 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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England
Elsevier Ltd
15.01.2025
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| ISSN: | 0308-8146, 1873-7072, 1873-7072 |
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| Abstract | Pesticide residue contamination has emerged as a critical concern due to its potential negative effects on both public health and the natural environment. Consequently, the detection of pesticide residue is of utmost importance. Nanomaterial-based fluorescence sensors, including metal nanoparticles (MNPs), metal nanoclusters (MNCs), carbon dots (CDs), and quantum dots (QDs), are particularly effective for detecting pesticide residues. Herein, we provide a comprehensive review of the recent advances (2018–2024) in fluorescence-based sensors utilizing MNPs, MNCs, CDs and QDs and their composites for the purpose of detecting various pesticides including organophosphates, carbamates, organochlorines, and pyrethroids in food. This review delves into the evolution of nanomaterials, their corresponding fluorescence-based sensing mechanisms, including Förster resonance energy transfer (FRET), photoinduced electron transfer (PET), inner filter effect (IFE), aggregation induced emission (AIE), and the detection principle, focusing on aspects of sensitivity and specificity. We also address the challenges and future perspectives of nanomaterials-based fluorescence sensors.
[Display omitted]
•The recent advance of nanomaterial-based fluorescence sensors to detect pesticides is reviewed.•The sensors design, development, working principle, and analytical performances are summarized.•Discussing the challenges and future perspectives of fluorescence sensors for food safety. |
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| AbstractList | Pesticide residue contamination has emerged as a critical concern due to its potential negative effects on both public health and the natural environment. Consequently, the detection of pesticide residue is of utmost importance. Nanomaterial-based fluorescence sensors, including metal nanoparticles (MNPs), metal nanoclusters (MNCs), carbon dots (CDs), and quantum dots (QDs), are particularly effective for detecting pesticide residues. Herein, we provide a comprehensive review of the recent advances (2018–2024) in fluorescence-based sensors utilizing MNPs, MNCs, CDs and QDs and their composites for the purpose of detecting various pesticides including organophosphates, carbamates, organochlorines, and pyrethroids in food. This review delves into the evolution of nanomaterials, their corresponding fluorescence-based sensing mechanisms, including Förster resonance energy transfer (FRET), photoinduced electron transfer (PET), inner filter effect (IFE), aggregation induced emission (AIE), and the detection principle, focusing on aspects of sensitivity and specificity. We also address the challenges and future perspectives of nanomaterials-based fluorescence sensors. Pesticide residue contamination has emerged as a critical concern due to its potential negative effects on both public health and the natural environment. Consequently, the detection of pesticide residue is of utmost importance. Nanomaterial-based fluorescence sensors, including metal nanoparticles (MNPs), metal nanoclusters (MNCs), carbon dots (CDs), and quantum dots (QDs), are particularly effective for detecting pesticide residues. Herein, we provide a comprehensive review of the recent advances (2018–2024) in fluorescence-based sensors utilizing MNPs, MNCs, CDs and QDs and their composites for the purpose of detecting various pesticides including organophosphates, carbamates, organochlorines, and pyrethroids in food. This review delves into the evolution of nanomaterials, their corresponding fluorescence-based sensing mechanisms, including Förster resonance energy transfer (FRET), photoinduced electron transfer (PET), inner filter effect (IFE), aggregation induced emission (AIE), and the detection principle, focusing on aspects of sensitivity and specificity. We also address the challenges and future perspectives of nanomaterials-based fluorescence sensors. [Display omitted] •The recent advance of nanomaterial-based fluorescence sensors to detect pesticides is reviewed.•The sensors design, development, working principle, and analytical performances are summarized.•Discussing the challenges and future perspectives of fluorescence sensors for food safety. Pesticide residue contamination has emerged as a critical concern due to its potential negative effects on both public health and the natural environment. Consequently, the detection of pesticide residue is of utmost importance. Nanomaterial-based fluorescence sensors, including metal nanoparticles (MNPs), metal nanoclusters (MNCs), carbon dots (CDs), and quantum dots (QDs), are particularly effective for detecting pesticide residues. Herein, we provide a comprehensive review of the recent advances (2018-2024) in fluorescence-based sensors utilizing MNPs, MNCs, CDs and QDs and their composites for the purpose of detecting various pesticides including organophosphates, carbamates, organochlorines, and pyrethroids in food. This review delves into the evolution of nanomaterials, their corresponding fluorescence-based sensing mechanisms, including Förster resonance energy transfer (FRET), photoinduced electron transfer (PET), inner filter effect (IFE), aggregation induced emission (AIE), and the detection principle, focusing on aspects of sensitivity and specificity. We also address the challenges and future perspectives of nanomaterials-based fluorescence sensors.Pesticide residue contamination has emerged as a critical concern due to its potential negative effects on both public health and the natural environment. Consequently, the detection of pesticide residue is of utmost importance. Nanomaterial-based fluorescence sensors, including metal nanoparticles (MNPs), metal nanoclusters (MNCs), carbon dots (CDs), and quantum dots (QDs), are particularly effective for detecting pesticide residues. Herein, we provide a comprehensive review of the recent advances (2018-2024) in fluorescence-based sensors utilizing MNPs, MNCs, CDs and QDs and their composites for the purpose of detecting various pesticides including organophosphates, carbamates, organochlorines, and pyrethroids in food. This review delves into the evolution of nanomaterials, their corresponding fluorescence-based sensing mechanisms, including Förster resonance energy transfer (FRET), photoinduced electron transfer (PET), inner filter effect (IFE), aggregation induced emission (AIE), and the detection principle, focusing on aspects of sensitivity and specificity. We also address the challenges and future perspectives of nanomaterials-based fluorescence sensors. |
| ArticleNumber | 141288 |
| Author | Wen, Hongli Xu, Kuncheng Marimuthu, Murugavelu Song, Wei Chen, Quansheng |
| Author_xml | – sequence: 1 givenname: Murugavelu surname: Marimuthu fullname: Marimuthu, Murugavelu organization: Key Laboratory of Clean Chemistry Technology of Guangdong Regular Higher Education Institutions, Guangdong Engineering Technology Research Center of Modern Fine Chemical Engineering, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, China – sequence: 2 givenname: Kuncheng surname: Xu fullname: Xu, Kuncheng organization: Key Laboratory of Clean Chemistry Technology of Guangdong Regular Higher Education Institutions, Guangdong Engineering Technology Research Center of Modern Fine Chemical Engineering, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, China – sequence: 3 givenname: Wei surname: Song fullname: Song, Wei organization: Analysis and Test Center, Guangdong University of Technology, Guangzhou 510006, China – sequence: 4 givenname: Quansheng surname: Chen fullname: Chen, Quansheng organization: School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China – sequence: 5 givenname: Hongli surname: Wen fullname: Wen, Hongli email: hongliwen@gdut.edu.cn organization: Key Laboratory of Clean Chemistry Technology of Guangdong Regular Higher Education Institutions, Guangdong Engineering Technology Research Center of Modern Fine Chemical Engineering, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39326309$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_3390_foods14111957 crossref_primary_10_1007_s00604_025_07410_8 crossref_primary_10_3390_nano15171305 crossref_primary_10_1016_j_ccr_2025_216710 crossref_primary_10_1016_j_cej_2025_159275 crossref_primary_10_3390_foods14122109 crossref_primary_10_3390_foods14152580 crossref_primary_10_1007_s13197_024_06116_8 crossref_primary_10_1021_acsaelm_5c00965 crossref_primary_10_3390_foods14172999 crossref_primary_10_1016_j_trac_2025_118428 crossref_primary_10_1016_j_microc_2025_113693 crossref_primary_10_3390_foods14183261 crossref_primary_10_1021_acs_jafc_5c07935 crossref_primary_10_3390_foods14071115 crossref_primary_10_3390_foods14122060 crossref_primary_10_1016_j_tifs_2025_105120 crossref_primary_10_1016_j_fochx_2025_102226 crossref_primary_10_1016_j_ijbiomac_2025_147398 crossref_primary_10_3390_chemosensors13050182 crossref_primary_10_1515_pac_2024_0404 crossref_primary_10_1016_j_jfca_2025_107613 crossref_primary_10_3390_foods14172982 crossref_primary_10_3390_foods14173114 crossref_primary_10_1016_j_jhazmat_2025_138252 crossref_primary_10_1016_j_foodres_2025_115736 crossref_primary_10_1016_j_cej_2025_163800 crossref_primary_10_1016_j_microc_2025_114674 crossref_primary_10_1016_j_foodchem_2024_142577 |
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| SubjectTerms | Carbamates carbon chlorinated hydrocarbons electron transfer energy transfer evolution Fluorescence Fluorescence Resonance Energy Transfer Fluorescent Dyes - chemistry Fluorescent sensor food chemistry Food Contamination - analysis Food Safety Nanomaterials nanoparticles Nanostructures - chemistry Organochlorines Organophosphates organophosphorus compounds pesticide residues Pesticide Residues - analysis Pesticide Residues - chemistry pesticides Pesticides - analysis Pesticides - chemistry public health pyrethrins Pyrethroids Quantum Dots - chemistry |
| Title | Safeguarding food safety: Nanomaterials-based fluorescent sensors for pesticide tracing |
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