دورية أكاديمية
Seafood waste derived carbon nanomaterials for removal and detection of food safety hazards.
العنوان: | Seafood waste derived carbon nanomaterials for removal and detection of food safety hazards. |
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المؤلفون: | He Z; College of Food Science and Engineering, Ocean University of China, Qingdao 266003, Shandong Province, China., Lin H; College of Food Science and Engineering, Ocean University of China, Qingdao 266003, Shandong Province, China., Sui J; College of Food Science and Engineering, Ocean University of China, Qingdao 266003, Shandong Province, China., Wang K; College of Food Science and Engineering, Ocean University of China, Qingdao 266003, Shandong Province, China., Wang H; College of Food Science and Engineering, Ocean University of China, Qingdao 266003, Shandong Province, China., Cao L; College of Food Science and Engineering, Ocean University of China, Qingdao 266003, Shandong Province, China. Electronic address: caolimin@ouc.edu.cn. |
المصدر: | The Science of the total environment [Sci Total Environ] 2024 Jun 15; Vol. 929, pp. 172332. Date of Electronic Publication: 2024 Apr 12. |
نوع المنشور: | Journal Article; Review |
اللغة: | English |
بيانات الدورية: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci Total Environ Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Amsterdam, Elsevier. |
مواضيع طبية MeSH: | Seafood*/analysis , Food Safety*/methods , Nanostructures*/analysis , Carbon*/analysis, Food Contamination/analysis |
مستخلص: | Nanobiotechnology and the engineering of nanomaterials are currently the main focus of many researches. Seafood waste carbon nanomaterials (SWCNs) are a renewable resource with large surface area, porous structure, high reactivity, and abundant active sites. They efficiently adsorb food contaminants through π-π conjugated, ion exchange, and electrostatic interaction. Furthermore, SWCNs prepared from seafood waste are rich in N and O functional groups. They have high quantum yield (QY) and excellent fluorescence properties, making them promising materials for the removal and detection of pollutants. It provides an opportunity by which solutions to the long-term challenges of the food industry in assessing food safety, maintaining food quality, detecting contaminants and pretreating samples can be found. In addition, carbon nanomaterials can be used as adsorbents to reduce environmental pollutants and prevent food safety problems from the source. In this paper, the types of SWCNs are reviewed; the synthesis, properties and applications of SWCNs are reviewed and the raw material selection, preparation methods, reaction conditions and formation mechanisms of biomass-based carbon materials are studied in depth. Finally, the advantages of seafood waste carbon and its composite materials in pollutant removal and detection were discussed, and existing problems were pointed out, which provided ideas for the future development and research directions of this interesting and versatile material. Based on the concept of waste pricing and a recycling economy, the aim of this paper is to outline current trends and the future potential to transform residues from the seafood waste sector into valuable biological (nano) materials, and to apply them to food safety. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 Elsevier B.V. All rights reserved.) |
فهرسة مساهمة: | Keywords: Carbon nanomaterials; Detection; Food safety; Seafood waste |
المشرفين على المادة: | 7440-44-0 (Carbon) |
تواريخ الأحداث: | Date Created: 20240414 Date Completed: 20240507 Latest Revision: 20240530 |
رمز التحديث: | 20240531 |
DOI: | 10.1016/j.scitotenv.2024.172332 |
PMID: | 38615776 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1879-1026 |
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DOI: | 10.1016/j.scitotenv.2024.172332 |