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Can I read A Bioinspired Fluorescent Probe Based on Metal–organic Frameworks to Selectively Enrich and Detect Amyloid-β Peptide on EtoBox?
A Bioinspired Fluorescent Probe Based on Metal–organic Frameworks to Selectively Enrich and Detect Amyloid-β Peptide by Ziyuan Wang; Yi Jiao; Qingyuan Ding; Yanjie Song; Qingqing Ma; Huan Ren; Kun Lu; Shiru Jia; Jiandong Cui is a Engineering article available to read on EtoBox.
What is A Bioinspired Fluorescent Probe Based on Metal–organic Frameworks to Selectively Enrich and Detect Amyloid-β Peptide about?
Amyloid-β peptide (Aβ) in serum is an effective biomarker for the early diagnosis of Alzheimer's disease (AD). However, there are serious challenges to monitor subtle changes of Aβ in the blood due to its low expression and the complex interference from the environment. Inspired by the delicate structure of natural enzymes, the metal site coordination, hydrophobic microenvironment, and the size selectivity feature, herein, a fluorescent probe based on bi-ligand zinc metal–organic frameworks is designed for accurate detection of Aβ in serum. By chelating with Zn2+, the fluorescent small molecule N-(6-(benzothiazol-2-yl)pyridin-3-yl)-5-(dimethylamino)naphthalene-1-sulfonamide (BPNS) participated in the self-assembly process as one of the organic linkers to form this novel flower-shaped probe Zn-FBIFs. As proposed, the synergism of hydrophobic nature and size-exclusion effect made Zn-FBIFs can rapidly and selectively enrich Aβ and exhibit excellent anti-interference ability towards interfering proteins in serum. Then by competitively binding to Zn2+, Aβ replaced the BPNS in Zn-FBIFs and the released BPNS gave a fluorescence signal for Aβ detection. The detection limit in undiluted ser
Who reads A Bioinspired Fluorescent Probe Based on Metal–organic Frameworks to Selectively Enrich and Detect Amyloid-β Peptide?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Ziyuan Wang; Yi Jiao; Qingyuan Ding; Yanjie Song; Qingqing Ma; Huan Ren; Kun Lu; Shiru Jia; Jiandong Cui
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Engineering (Physical Sciences)