Organic Semiconductor Nanosheets for Sulfite Detecting Based on Activation of Sulfite and a Synergetic Chemiluminescence Resonance Energy Transfer Process in a Mild System of Fe 2+ -SO 3 2 .
Mingxia SunHongjie SongHaiyi LiuYingying SuXiaobo XieYi LvPublished in: Analytical chemistry (2023)
Sulfur dioxide (SO 2 ) as one kind of air pollution not only causes extreme environmental pollution but also negatively affects human health. Chemiluminescence (CL) methods applied for sulfite analysis with high selectivity based on activating sulfite with oxidants are always implemented in acid media with a high background rise. In this work, we proposed to develop a mild CL system of Fe 2+ -SO 3 2- to detect sulfite under neutral conditions and provide in situ CL spectral data for deeply studying the CL mechanism of Fe 2+ -SO 3 2- . Herein, we first synthesized one type of water-soluble supramolecular nanosheets, APDI NSs, which had a strong oxidation potential (+2.9 V) due to a π-conjugated system for activation of sulfite to enhance the generation of SO 3 ̇ - and other active radicals, and strong a CL signal from the APDI NSs-Fe 2+ -SO 3 2- system was generated. By studying the CL mechanism under acidic and neutral conditions, a new CL reaction pathway (path-1) and a key intermediate, S 2 O 4 2- , from the reaction of Fe 2+ and SO 3 2- were found. The CL signal was emitted by SO 2 * after oxidation of S 2 O 4 2- by strong oxidants like SO 4 •- and further amplified by APDI NSs through the CL resonance energy transfer (CRET) process. Based on the APDI NSs-Fe 2+ -SO 3 2- system under neutral conditions, a CL method for detecting SO 3 2- was established. The detection limit was 2.7 × 10 -8 M (S/N = 3), and the recovery rates in spiked water samples were in the range of 87%-101%. This study strengthens the understanding of the CL reaction process of the Fe 2+ -SO 3 2- system and provides a mild sulfite sensing platform for environmental samples.
Keyphrases
- energy transfer
- human health
- quantum dots
- metal organic framework
- risk assessment
- water soluble
- air pollution
- visible light
- magnetic resonance
- computed tomography
- magnetic resonance imaging
- photodynamic therapy
- high throughput
- cystic fibrosis
- chronic obstructive pulmonary disease
- heavy metals
- sensitive detection
- big data
- gold nanoparticles
- room temperature
- lung function
- machine learning
- molecularly imprinted
- health risk assessment
- artificial intelligence