A Smartphone-Integrated Ratiometric Fluorescence Sensor for the Ultrasensitive and Selective Detection of 5-Heneicosylresorcinol in Whole Wheat Foods
Precise on-site monitoring of alkylresorcinols, a vital biomarker, is crucial for verifying whole wheat foods and accurately quantifying the whole wheat content in various consumer and industrial products. Herein, for the first time, we introduce a novel ratiometric fluorescence sensor (CDs@ZIF-8/CdTe@MIP) for ultrasensitive and selective detection of alkylresorcinols. 5-Heneicosylresorcinol (C21:0 AR), the primary alkylresorcinol homologue in whole wheat grains, was selected as the target analyte. This analyte was specifically and selectively recognized by the incorporation of a molecularly imprinted polymer (MIP) layer. Within this nanoreactor, blue-emitting carbon dots embedded in zeolitic imidazolate framework-8 (CDs@ZIF-8) and orange-emitting CdTe quantum dots served as the self-calibration signal and response signal, respectively. Exploiting a photoinduced electron transfer effect between CdTe and C21:0 AR, the established fluorescence sensor exhibited remarkable sensing performance, offering wide linear responses in 0.005-1 μg·mL<sup>-1</sup> and 1-80 μg·mL<sup>-1</sup> concentration ranges, and achieving a low detection limit of 1.14 ng·mL<sup>-1</sup>. The proposed assay effectively detected C21:0 AR in real samples, including 8 whole wheat foods and 19 whole wheat grains, demonstrating good recoveries and relative standard deviation. Furthermore, an intelligent sensing platform was established by integrating CDs@ZIF-8/CdTe@MIP with a smartphone-assisted device, thus validating the feasibility of visual and on-site monitoring of C21:0 AR. Because of its rapid response, portability, cost-effectiveness, superior sensitivity, and high selectivity, the proposed sensor serves as a reliable method for the analysis of C21:0 AR, thus having substantial potential for on-site monitoring of whole wheat foods.
Authors
- Shiyi Lu
- Yangyang Wen (ORCID: https://orcid.org/0000-0003-3236-7168)
- Jie Li (ORCID: https://orcid.org/0000-0001-5161-4481)
- Hongyan Li (ORCID: https://orcid.org/0000-0001-7260-2957)
- Jing Wang (ORCID: https://orcid.org/0000-0003-4896-0142)
- Weiwei Gong (ORCID: https://orcid.org/0000-0001-5345-9382)
- Baoguo Sun
- Hailin Wang (ORCID: https://orcid.org/0000-0002-1843-999X)
- Zhenjia Yu (ORCID: https://orcid.org/0000-0002-3270-6855)
Institutions
- Beijing Technology and Business University (CN)
Publication Details
- Journal
- Journal of Agricultural and Food Chemistry
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1021/acs.jafc.4c05220
- Citations
- 10
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 1.84
Funders
- National Natural Science Foundation of China