A double probe-based fluorescence sensor array to detect rare earth element ions
There is a persistent need for effective sensors to detect rare earth element ions (REEIs) due to their effects on human health and the environment. Thus, a simple and efficient fluorescence-based detection method for REEIs that offers convenience, flexibility, versatility, and efficiency is essential for ensuring environmental safety, food quality, and biomedical applications. In this study, 6-aza-2-thiothymine-gold nanoclusters (ATT-AuNCs) and bovine serum albumin/3-mercaptopropionic acid-AuNCs (BSA/MPA-AuNCs) were utilized to detect 14 REEIs (Sc<sup>3+</sup>, Gd<sup>3+</sup>, Lu<sup>3+</sup>, Y<sup>3+</sup>, Ce<sup>3+</sup>, Pr<sup>3+</sup>, Yb<sup>3+</sup>, Dy<sup>3+</sup>, Tm<sup>3+</sup>, Sm<sup>3+</sup>, Ho<sup>3+</sup>, Tb<sup>3+</sup>, La<sup>3+</sup>, and Eu<sup>3+</sup>), resulting in the creation of a simple, sensitive, and multi-target fluorescence sensor array detection platform. We observed that REEIs exert various enhancement or quenching effects on ATT-AuNCs and BSA/MPA-AuNCs. Thus, these two probes function as double signal channels, with the different effects of REEIs serving as signal inputs. Pattern recognition methods, including hierarchical cluster analysis (HCA) and linear discriminant analysis (LDA), were used to assess the recognition performance of the constructed sensing system. Beyond the excellent ability to recognize individual REEIs, the platform is also capable of distinguishing mixed REEIs. Also, this approach was validated by applying it to detect REEIs in purified water samples. This method not only minimizes the need for synthesizing and optimizing new probes but also offers a novel approach for the determination and identification of diverse analytes, filling a gap in the detection of a large number of REEIs simultaneously.
Authors
- Hua‐Ping Peng (ORCID: https://orcid.org/0000-0002-3357-337X)
- Hamada A. A. Noreldeen (ORCID: https://orcid.org/0000-0001-7093-2426)
- Hao‐Hua Deng (ORCID: https://orcid.org/0000-0002-3810-0686)
- Kai‐Yuan Huang (ORCID: https://orcid.org/0009-0003-5427-9908)
- Chen-Ting Zhu
- Wei Chen (ORCID: https://orcid.org/0000-0003-3233-8877)
Institutions
- Fujian Medical University (CN)
- National Institute of Oceanography and Fisheries (EG)
Publication Details
- Journal
- The Analyst
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d4an01520g
- Citations
- 7
- Primary Topic
- Nanocluster Synthesis and Applications
- Type
- article
- Field-Weighted Citation Impact
- 3.62
Funders
- National Natural Science Foundation of China