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Strategies for Improving Selectivity and Sensitivity of Schiff Base Fluorescent Chemosensors for Toxic and Heavy Metals.
Musikavanhu, Brian; Liang, Yongdi; Xue, Zhaoli; Feng, Lei; Zhao, Long.
Affiliation
  • Musikavanhu B; School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China.
  • Liang Y; School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China.
  • Xue Z; School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China.
  • Feng L; Monash Suzhou Research Institute, Monash University, Suzhou Industrial Park, Suzhou 215000, China.
  • Zhao L; School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China.
Molecules ; 28(19)2023 Oct 06.
Article in En | MEDLINE | ID: mdl-37836803
Toxic cations, including heavy metals, pose significant environmental and health risks, necessitating the development of reliable detection methods. This review investigates the techniques and approaches used to strengthen the sensitivity and selectivity of Schiff base fluorescent chemosensors designed specifically to detect toxic and heavy metal cations. The paper explores a range of strategies, including functional group variations, structural modifications, and the integration of nanomaterials or auxiliary receptors, to amplify the efficiency of these chemosensors. By improving selectivity towards targeted cations and achieving heightened sensitivity and detection limits, consequently, these strategies contribute to the advancement of accurate and efficient detection methods while increasing the range of end-use applications. The findings discussed in this review offer valuable insights into the potential of leveraging Schiff base fluorescent chemosensors for the accurate and reliable detection and monitoring of heavy metal cations in various fields, including environmental monitoring, biomedical research, and industrial safety.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Schiff Bases / Metals, Heavy Language: En Journal: Molecules Journal subject: BIOLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: Suiza

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Schiff Bases / Metals, Heavy Language: En Journal: Molecules Journal subject: BIOLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: Suiza