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

• Published in: Food chemistry 2023-04, Vol.406, p.135017, Article 135017
• Main Authors: Li, Ying, Javed, Rida, Li, Rui, Zhang, Yuyang, Lang, Ziyue, Zhao, Hongbin, Liu, Xing, Cao, Hongmei, Ye, Daixin
• Format: Article
• Language: English
• Subjects: apples; ascorbic acid; carbon; color; colorimetry; cost effectiveness; detection limit; food chemistry; freshness; fruits; green tea; humans; mangoes; metabolism; mobile telephones; nitrogen; nutritive value; oxidation; pineapples; raw fruit
• ISSN: 0308-8146
• DOI: 10.1016/j.foodchem.2022.135017

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/NC 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/NC SAN with remarkable oxidase-like activities could oxidize 3,3́,5,5́-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 μM) and low detection limit of 0.315 μM 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.