Advancement of doxorubicin monitoring with a DNA fragmentation strategy for SYBR Green I-based aptamer biosensors

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Luke Wei, Yuxin Hu, Jiamin Wu, Jing Mao, Tianqin Yin, Jieqiong Qiu
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引用次数: 0

Abstract

Doxorubicin (DOX), a widely utilized chemotherapeutic antibiotic, increasingly threatens environmental and public health due to its persistence in marine ecosystems, bioaccumulation in organisms, and contamination of agricultural systems. In response to the urgent demand for effective DOX detection, we have developed a label-free fluorescent aptamer biosensor (FAB) that employs SYBR Green I (SG I)-mediated signal amplification. A key innovation in this design is the strategic fragmentation of the 41-mer complementary strand (CP) of the DOX aptamer into three 11-mer fragments. It significantly mitigates nonspecific SG I binding interference caused by the longer ssDNA CP, enhancing the fluorescence signal ratio (FdsDNA/FssDNA) from 4.6-fold to 12.6-fold. Upon DOX introduction, competitive binding between DOX, SG I, and DNA further suppresses background noise, yielding an exceptional fluorescence quenching ratio (F0/F) of 52.8. The optimized FAB demonstrates ultra-sensitive DOX detection, with a detection limit of 1.41 nM and a linear response between 1.41 nM and 300 nM. The recoveries of DOX spiked into pond water and drinking water samples ranged from 95.1 % to 101.8 %, with relative standard deviations (RSDs) below 3.46 %, demonstrating negligible matrix effects and confirming the FAB method's robustness for environmental monitoring applications. This strategy synergistically enhances signal transduction efficiency, and strengthens detection reliability, all while maintaining operational simplicity. As a result, this FAB for DOX detection holds transformative potential, poised to revolutionize biosensor technology in the fields of food safety, environmental monitoring, and biosecurity.

Abstract Image

基于SYBR Green i的适体生物传感器DNA片段化策略监测阿霉素的进展
多柔比星(DOX)是一种广泛使用的化疗抗生素,由于其在海洋生态系统中的持久性、生物积累以及对农业系统的污染,对环境和公众健康的威胁日益严重。为了响应对有效检测DOX的迫切需求,我们开发了一种无标记荧光适体生物传感器(FAB),该传感器采用SYBR Green I (SG I)介导的信号放大。该设计的一个关键创新是将DOX适体的41-mer互补链(CP)战略性地分割成三个11-mer片段。显著减轻较长ssDNA CP引起的非特异性SG I结合干扰,使荧光信号比(FdsDNA/FssDNA)从4.6倍提高到12.6倍。DOX引入后,DOX、sgi和DNA之间的竞争性结合进一步抑制了背景噪声,产生了52.8的异常荧光猝灭比(F0/F)。优化后的FAB具有极高的灵敏度,检测限为1.41 nM,线性响应在1.41 ~ 300 nM之间。添加到池塘水和饮用水样品中的DOX的回收率为95.1% ~ 101.8%,相对标准偏差(rsd)小于3.46%,可以忽略基质效应,证实了FAB方法在环境监测中的稳健性。该策略协同提高了信号转导效率,增强了检测可靠性,同时保持了操作的简单性。因此,这种用于DOX检测的FAB具有变革潜力,有望彻底改变食品安全、环境监测和生物安全领域的生物传感器技术。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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