A colorimetric smartphone-based sensor for on-site AA detection in tropical fruits using Fe-P/N-C single-atom nanoenzyme

被引:42
|
作者
Li, Ying [1 ]
Javed, Rida [2 ]
Li, Rui [1 ]
Zhang, Yuyang [1 ]
Lang, Ziyue [1 ]
Zhao, Hongbin [2 ]
Liu, Xing [1 ]
Cao, Hongmei [1 ]
Ye, Daixin [2 ]
机构
[1] Hainan Univ, Sch Food Sci & Engn, Key Lab Trop & Vegetables Qual & Safety State Mark, Haikou 570228, Peoples R China
[2] Shanghai Univ, Inst Sustainable Energy Mat Sci & Engn, Coll Sci, Shanghai 200444, Peoples R China
基金
中国国家自然科学基金;
关键词
Colorimetric sensor; Fe-P/N-C SAN; Ascorbic acid; Smartphone; Tropical fruit; ASCORBIC-ACID; NANOZYMES;
D O I
10.1016/j.foodchem.2022.135017
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Ascorbic acid is one of the important vitamins to maintain human life activities and plays an irreplaceable role in regulating human redox metabolism. Fresh fruit can provide plenty of AA to maintain human metabolic balance. Thus, it is great significant to develop a rapid and convenient method for detection of AA to evaluate the freshness and nutritional quality of fruits. In this work, Fe single-atom nanoenzyme (Fe-SAN) based colorimetric sensor assisted with smartphone was designed for rapid and on-site AA detection in tropical fruits. Firstly, Fe-SAN with high oxidase-mimicking activity was synthesized by using green tea leaves as sources of carbon and nitrogen and NaH2PO2 as P source to obtain Fe-P/N-C SAN, in which P was used to reconstruct the distribution of electronic to enhance the oxidase-mimicking activity of Fe-SAN. Besides, the as-synthesized Fe-P/N-C SAN with remarkable oxidase-like activities could oxidize 3,3',5,5'-tetramethylbenzidine (TMB) to blue colored oxidized TMB. AA could inhibit the oxidation of TMB, leading to blue fading. Based on the above principle, colorimetric sensor integrated with smartphone RGB mode was fabricated and exhibited a good linear detection range (0.5-100 mu M) and low detection limit of 0.315 mu M for AA detection under optimal conditions. More importantly, the developed sensor could rapidly and accurately detect AA in real sample, such as pineapple, wax apple and mango. Therefore, this research provides a new cost-effective method for the efficient and exact detection of AA in tropical fruit, which has a broad application prospect.
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页数:8
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