4.4 Article

A Water-Stable Tb(III) Metal-Organic Framework with Multiple Fluorescent Centers for Efficient Self-Calibration Sensing Pesticides

Journal

CHEMISTRYSELECT
Volume 6, Issue 39, Pages 10481-10488

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/slct.202102575

Keywords

metal-organic framework; fluorescent sensor; self-calibration; pesticide

Funding

  1. Natural Science Foundation of China [U1608224, 21171118]
  2. Distinguished Professor Project of Liaoning province [XLYC1907047]
  3. Liaoning Science and Technology Project Management [2019-BS-192]
  4. Basic Research Project of Educational Department of Liaoning Province [LQ2020005, LQ2020004]

Ask authors/readers for more resources

The study developed a novel self-calibration sensor using a water-stabilized lanthanide MOF sensor for pesticide detection. The sensor showed excellent sensitivity, selectivity, and recycling ability for NSF and TMT, providing a promising strategy for the development of new self-calibrating sensors.
Traditional single-fluorescence sensors have certain limitations in selectivity and sensitivity, and developing novel self-calibration probes is highly required. Herein, a novel water-stabilized lanthanide metal-organic framework (MOF) sensor (Tb-BDOA) was selected, and its multiple emission peaks were used to self-calibrate sensing pesticide. Tb-BDOA emits green fluorescence at 445 nm,488 nm,545 nm,587 nm and 621 nm under the excitation of 280 nm. Different pesticides will cause different changes in the emission peaks of Tb-BDOA, so as to conveniently distinguish different pesticides and displays self- calibration fluorescent response to nicosulfuron (NSF) and thiamethoxam (TMT). Besides the unique combination of each pesticide and ligand -> Tb(III) emission intensity ratio showed significant correlation, which realized specific two-dimensional fingerprint recognition. At the same time, 3D code recognition is realized by drawing the changes of two ratios under different concentrations. As a result, the novel self-calibration sensor demonstrates effective recognition of NSF and TMT with excellent sensitivity and selectivity as well as great recycling ability. This provides a promising strategy for the development of new self-calibrating sensors.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available