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Hierarchical "sea-urchin" microspheres for simultaneous high-capacity and selective seizing of low-density lipoprotein.

Created on 11 Nov 2026

Authors

Jianfang Cao, Weiting Wang, Shaoning Liu, Zijian Xu, Chunlei Yang, Guiju Xu

Published in

Mikrochimica acta. Volume 193. Issue 12. Nov 10, 2026. Epub Nov 10, 2026.

Abstract

The elevated level of low-density lipoprotein (LDL) is a major risk factor for cardiovascular diseases. However, current separation methods still face the critical bottlenecks of insufficient adsorption capacity and poor specificity in complex biological matrices. Herein, we constructed a "sea urchin" shaped microsphere (SiO₂/PP/Apt) via a stepwise surface engineering strategy, designed to simultaneously achieve high-capacity and selective capture of LDL.The fabrication process employed boron trifluoride etherate (BFEE)-catalyzed cationic polymerization to generate a densely cross-linked polydivinylbenzene (PDVB) nanofibrous network on 2 μm SiO₂ cores, providing abundant microscale binding sites for LDL enrichment. A subsequent polydopamine (PDA) coating served as a robust bio-adhesive interface for the stable immobilization of amino-modified LDL aptamers, endowing the material with satisfactory recognition selectivity. Benefiting from this hierarchical architecture, the microspheres exhibited a remarkable adsorption capacity (an experimentally‑observed maximum adsorption capacity reaching ~ 2700 µg mg⁻¹ under tested concentration conditions), while exhibiting a capacity retention of 73.0% in the presence of 100-fold excess HSA. Additionally, a mild competitive elution strategy utilizing complementary DNA strands enabled efficient recovery, and the practical applicability was successfully validated in hyperlipidemia-simulated goat serum by SDS-PAGE. Collectively, this work provides a highly promising material platform that synergistically integrates high capacity, high selectivity, and mild recovery, offering new avenues for LDL purification and lipidomic research.

PMID:
43007458
Bibliographic data and abstract were imported from PubMed on 11 Nov 2026.

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