A cerium phthalocyanine-based covalent organic framework-magnetic core–shell composite as efficient affinity material for the enrichment of phosphopeptides

IF 5.3 2区化学 Q1 CHEMISTRY, ANALYTICAL Microchimica Acta Pub Date : 2025-03-25 DOI:10.1007/s00604-025-07105-0

Dandan Jiang, Yangyang Li, Siyu Wu, Lan Lan, Jinghai Liu

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Abstract

A novel cerium phthalocyanine-based covalent organic framework (CePc-COF)-magnetic core–shell composite was fabricated by grafting the CePc-COF layer on the surface of Fe₃O₄. The obtained core–shell composite particle (Fe₃O₄@CePc-COF) had strong magnetic responsiveness (29.6 emu g⁻¹) and good hydrophilicity (5.0°). The affinity material provided abundant metal ion sites for specific enrichment of phosphopeptides. Fe₃O₄@CePc-COF had good performance in terms of high selectivity (1: 1: 5000), sensitivity (0.1 fmol), recovery (92.91%), and reusability (10 cycles). The enrichment feasibility of Fe₃O₄@CePc-COF was first investigated in standard peptides. Furthermore, Fe₃O₄@CePc-COF can efficiently identify phosphopeptides from extremely complex samples. The work can provide a novel idea for the fabrication of metallophthalocyanine based-COF materials for phosproteome detection in biological samples.

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一种基于酞菁铈的共价有机框架-磁性核-壳复合材料作为磷酸肽富集的有效亲和材料

通过在Fe3O4表面接枝cec - cof层，制备了一种新型的酞菁铈基共价有机骨架(CePc-COF)-磁性核壳复合材料。得到的核壳复合粒子（Fe3O4@CePc-COF）具有较强的磁响应性（29.6 emu g−1）和良好的亲水性（5.0°）。亲和物质为磷酸肽的特异性富集提供了丰富的金属离子位点。Fe3O4@CePc-COF具有较高的选择性（1:1:5000）、灵敏度（0.1 fmol）、回收率（92.91%）和可重复使用（10次循环）。首先研究了Fe3O4@CePc-COF在标准多肽中的富集可行性。此外，Fe3O4@CePc-COF可以有效地从极其复杂的样品中识别磷酸肽。该研究为制备金属酞菁基cof材料用于生物样品的光蛋白组检测提供了新的思路。图形抽象

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来源期刊

Microchimica Acta 化学-分析化学

CiteScore

9.80

自引率

5.30%

发文量

410

审稿时长

2.7 months

期刊介绍： As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.