收藏切换
Research progress on the application of carbon-based nanomaterials in food safety detection
收藏切换
Liang-Liang CHEN1, Lin-Lin XU1, *, Jin-Cheng WANG1, Meng-Qin ZHAO1, Xiang-Hui MENG2, Fan MU1, Xue-Han-Ling FU1, Hong-Xing JIANG1, Mao-Long WANG1
Journal of Food Safety & Quality | 2026, 17(16) : 219 - 226
Less
收藏切换
Journal of Food Safety & Quality | 2026, 17(16): 219-226
• Food Analysis and Detection •
Research progress on the application of carbon-based nanomaterials in food safety detection
Full
Liang-Liang CHEN1, Lin-Lin XU1, *, Jin-Cheng WANG1, Meng-Qin ZHAO1, Xiang-Hui MENG2, Fan MU1, Xue-Han-Ling FU1, Hong-Xing JIANG1, Mao-Long WANG1
Affiliations
  • 1.School of Biological and Food Engineering, Chuzhou University, Chuzhou 239000, China
  • 2.Beijing Kwinbon Technology Co., Ltd., Beijing 102200, China
doi: 10.19812/j.cnki.jfsq11-5956/ts.20260306002
Outline
收藏切换

Foodborne hazards remain a critical issue confronting public food safety, including microorganisms, heavy metals, antibiotics, pesticides and veterinary drugs, as well as other pollutants. Improper handling or delayed detection of these hazards can easily trigger foodborne diseases and threaten consumers’ health. Therefore, accurate and rapid detection methods for foodborne hazards are particularly important. Currently, with the continuous emergence of nanomaterials, highly sensitive sensing systems for foodborne hazard detection have been increasingly established. In particular, based on carbon-based nanomaterials such as carbon dots, carbon nanotubes, carbon nanofibers, carbon nitride, and graphene, which possesses excellent biocompatibility, low toxicity, optical stability, high selectivity and facile modifiability, they have demonstrated outstanding application potential in areas such as foodborne hazard detection, food quality control, environmental monitoring and biomedicine. This article reviewed the application of carbon-based nanomaterials in detecting foodborne hazards, elaborated on the underlying detection principles of carbon-based nanomaterials for identifying foodborne harmful substances, and compared the advantages and disadvantages of detection methods based on carbon-based nanomaterials with conventional techniques. This review aims at provide a scientific basis for the research and development and practical application of carbon-based nanomaterials in rapid food safety detection technology.

foodborne hazards  /  carbon-based nanomaterials  /  rapid detection  /  food safety
陈亮亮, 徐琳琳, 汪进程, 赵梦琴, 孟祥慧, 牧凡, 付雪涵凌, 蒋洪星, 王冒隆. 碳基纳米材料在食品安全检测中的应用研究进展. 食品安全质量检测学报, 2026 , 17 (16) : 219 -226 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20260306002
Liang-Liang CHEN, Lin-Lin XU, Jin-Cheng WANG, Meng-Qin ZHAO, Xiang-Hui MENG, Fan MU, Xue-Han-Ling FU, Hong-Xing JIANG, Mao-Long WANG. Research progress on the application of carbon-based nanomaterials in food safety detection[J]. Journal of Food Safety & Quality, 2026 , 17 (16) : 219 -226 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20260306002
Year 2026 volume 17 Issue 16
11
3
Cite this Article
BibTeX
Article Info
doi: 10.19812/j.cnki.jfsq11-5956/ts.20260306002
  • Receive Date:2026-03-06
  • Online Date:2026-11-05
Article Data
Affiliations
History
  • Received:2026-03-06
Funding
Affiliations
    1.School of Biological and Food Engineering, Chuzhou University, Chuzhou 239000, China
    2.Beijing Kwinbon Technology Co., Ltd., Beijing 102200, China
References
Share
https://castjournals.cast.org.cn/joweb/spaq/EN/10.19812/j.cnki.jfsq11-5956/ts.20260306002
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT