Suppr超能文献

基于纳米花微反应器的多功能增强子用于识别辅因子依赖的酶生物催化,以检测石房蛤毒素。

Nanoflower Microreactor Based Versatile Enhancer for Recognition Cofactor-Dependent Enzyme Biocatalysis toward Saxitoxin Detection.

机构信息

Guangdong Provincial Key Laboratory of Food Quality and Safety, South China Agricultural University, Guangzhou 510642, China.

School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.

出版信息

ACS Appl Mater Interfaces. 2024 Sep 4;16(35):46495-46505. doi: 10.1021/acsami.4c11419. Epub 2024 Aug 21.

Abstract

Investigating organic carriers' utilization efficiency and bioactivity within organic-inorganic hybrid nanoflowers is critical to constructing sensitive immunosensors. Nevertheless, the sensitivity of immunosensors is interactively regulated by different classes of biomolecules such as antibodies and enzymes. In this work, we introduced a new alkaline phosphatase-antibody-CaHPO hybrid nanoflowers (AAHNFs) microreactor based colorimetric immunoprobe. This system integrates a biometric unit (antibody) with a signal amplification element (enzyme) through the biomineralization process. Specifically, the critical factors affecting antibody recognition activity in the formation mechanism of AAHNFs are investigated. The designed AAHNFs retain antibody recognition ability with enhanced protection for encapsulated proteins against high temperature, organic solvents, and long-term storage, facilitating the selective construction of lock structures against antigens. Additionally, a colorimetric immunosensor based on AAHNFs was developed. After ascorbic acid 2-phosphate hydrolysis by alkaline phosphatase (ALP), the generated ascorbic acid decomposes I to I, inducing the localized surface plasmon resonance in the silver nanoplate, which is effectively tuned through shape conversion to develop the sensor. Further, a 3D-printed portable device is fabricated, integrated with a smartphone sensing platform, and applied to the data of collection and analysis. Notably, the immunosensor exhibits improved analytical performance with a 0.1-6.25 ng·mL detection range and a 0.06 ng·mL detection limit for quantitative saxitoxin (STX) analysis. The average recoveries of STX in real samples ranged from 85.9% to 105.9%. This study presents a more in-depth investigation of the recognition element performance, providing insights for improved antibody performance in practical applications.

摘要

研究有机-无机杂化纳米花内有机载体的利用效率和生物活性对于构建敏感的免疫传感器至关重要。然而,免疫传感器的灵敏度受到不同类别的生物分子(如抗体和酶)的交互调节。在这项工作中,我们引入了一种新的碱性磷酸酶-抗体-CaHPO 杂化纳米花(AAHNFs)微反应基于比色免疫探针。该系统通过生物矿化过程将生物计量单元(抗体)与信号放大元件(酶)集成在一起。具体来说,研究了影响 AAHNFs 形成机制中抗体识别活性的关键因素。设计的 AAHNFs 保留了抗体识别能力,并增强了对包封蛋白的保护,使其能够耐受高温、有机溶剂和长期储存,有利于针对抗原选择性构建锁结构。此外,基于 AAHNFs 开发了比色免疫传感器。碱性磷酸酶(ALP)水解抗坏血酸 2-磷酸后,生成的抗坏血酸将 I 分解为 I,导致银纳米板中的局域表面等离子体共振发生有效调制,通过形状转换来开发传感器。进一步,制作了 3D 打印便携式设备,集成到智能手机传感平台,并应用于数据的收集和分析。值得注意的是,该免疫传感器表现出改善的分析性能,具有 0.1-6.25ng·mL 的检测范围和 0.06ng·mL 的检测限,用于定量检测石房蛤毒素(STX)。实际样品中 STX 的平均回收率在 85.9%到 105.9%之间。本研究更深入地研究了识别元件的性能,为提高实际应用中抗体的性能提供了思路。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验