Shipeng Jiang, Siyu Han, Xinyi Wang, Yueran Ma, Yue Chen, Mingyang Sun, Peiran Meng, Shaokai Du and Yue Sun
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After the efficient covalent conjugation of abundant aldehyde groups with chlorinated Nile blue (CNB), the paper-based sensor was successfully prepared. RGB values were obtained by a smartphone application (App) for analysis. Under the optimized experimental conditions, the developed sensor demonstrated good performance compared to other PB-based sensors. It achieved a lower detection limit (LOD) of 22.86 pg mL<small><sup>−1</sup></small> (S/N = 3) and exhibited a wider linear detection range (1.0 × 10<small><sup>2</sup></small> to 1.0 × 10<small><sup>8</sup></small> pg mL<small><sup>−1</sup></small>). Importantly, the sensor exhibited both high selectivity and remarkable operational stability during LPS detection. 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引用次数: 0
摘要
快速、便携的脂多糖(LPS)检测具有重要的临床意义。本研究基于智能手机和超快原子转移自由基聚合(UATRP)技术,开发了一种用于LPS快速检测的纸基(PB)传感器。首先用壳聚糖(CS)和戊二醛(GA)对滤纸(FB)进行改性。用氨基适配体(Apt)修饰LPS到FB上,LPS的顺式二醇位点与引发剂4-(溴甲基)苯基硼酸(BPA)的硼酸基团选择性交联。然后,以碳量子点(CQDs)为催化剂,甲基丙烯醛(MLA)为功能单体,在滤纸上制备富醛聚合物刷。将大量醛基与氯化尼罗蓝(CNB)高效共价偶联后,成功制备了纸基传感器。通过智能手机应用程序(App)获取RGB值进行分析。在优化的实验条件下,与其他基于铅的传感器相比,所研制的传感器表现出良好的性能。该方法的检出限为22.86 pg mL - 1 (S/N = 3),线性检测范围为1.0 × 102 ~ 1.0 × 108 pg mL - 1。重要的是,该传感器在LPS检测过程中表现出高选择性和卓越的操作稳定性。这些结果不仅验证了传感器的分析可靠性,而且为临床应用和更广泛的生物医学用途提供了坚实的基础。
Smartphone-based paper LPS sensor: achieving picomolar ultra-sensitive detection
Rapid and portable lipopolysaccharide (LPS) detection is of great clinical significance. In this study, a paper-based (PB) sensor for rapid LPS detection was developed based on a smartphone and ultrafast atom transfer radical polymerization (UATRP). First, the filter paper (FB) was modified with chitosan (CS) and glutaraldehyde (GA). LPS was modified onto FB using an amino aptamer (Apt), and this cis-diol site from LPS was selectively cross-linked with the boronic acid group of the initiator 4-(bromomethyl) phenylboronic acid (BPA). Then, UATRP was performed using carbon quantum dots (CQDs) as the catalyst and methacrolein (MLA) as the functional monomer, to generate aldehyde-rich polymer brushes on filter paper. After the efficient covalent conjugation of abundant aldehyde groups with chlorinated Nile blue (CNB), the paper-based sensor was successfully prepared. RGB values were obtained by a smartphone application (App) for analysis. Under the optimized experimental conditions, the developed sensor demonstrated good performance compared to other PB-based sensors. It achieved a lower detection limit (LOD) of 22.86 pg mL−1 (S/N = 3) and exhibited a wider linear detection range (1.0 × 102 to 1.0 × 108 pg mL−1). Importantly, the sensor exhibited both high selectivity and remarkable operational stability during LPS detection. These results not only validate the sensor's analytical reliability but also provide a strong foundation for clinical applications and broader biomedical uses.