1
|
Zeng Q, Ruan L, Che X, Shu X, Jin J, Lv Z, Luo Z, Zhang W. Synthesis of MoO 3- x nanosheets and its application in ascorbic acid detection of fruit and vegetables. J Food Sci 2023; 88:837-847. [PMID: 36624616 DOI: 10.1111/1750-3841.16447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/24/2022] [Accepted: 12/17/2022] [Indexed: 01/11/2023]
Abstract
A new method combining ultraviolet (UV) spectrophotometry and MoO3- x nanosheets was developed for the rapid and accurate determination of ascorbic acid (AA) content in fruit and vegetables in this study. MoO3- x nanosheets were prepared by the liquid exfoliation method using AA as the reducing agent, and the content of AA can be determined by a UV spectrophotometer. Experimental conditions for the MoO3- x nanosheet method, including grinding time, ethanol concentration, sonication time, and water bath temperature were also optimized. The morphology of MoO3- x nanosheets was characterized by atomic force microscope. The results showed that the average thickness of MoO3- x nanosheets was 2.1-5.8 nm. The MoO3- x nanosheets method had a good linearity in the AA concentration range of 0.01-0.05 mg/ml (R2 = 0.9996). The limit of detection was 0.031 µg/ml, and the limit of quantitation was 0.095 µg/ml. The spiked recoveries were in the range of 88.79%-116.76%. The MoO3- x nanosheets method was validated for the determination of AA content in five different fruit and vegetables samples with relative standard deviations less than 2%.
Collapse
Affiliation(s)
- Qingxiao Zeng
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China
| | - Li Ruan
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China
| | - Xingyan Che
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China
| | - Xiaolan Shu
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China
| | - Jian Jin
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China
| | - Zhenzhen Lv
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China
| | - Zhongwei Luo
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.,Sichuan Huasheng Agricultural Ltd, Mianzhu, China
| | - Wen Zhang
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.,Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou, China.,College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| |
Collapse
|