Exciton Energy Transfer-Based Quantum Dot Fluorescence Sensing Array: "Chemical Noses" for Discrimination of Different Nucleobases
Exciton Energy Transfer-Based Quantum Dot Fluorescence Sensing Array: "Chemical Noses" for Discrimination of Different Nucleobases
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DOI：
10.1021/ac503819e
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发表时间：
2015-01-20
影响因子：
7.4
通讯作者：
Guo, Yali
中科院分区：
文献类型：
--
作者：
Liu, Jianbo;Li, Gui;Guo, Yali
通过靶核碱基触发量子点自组装，开发了一种新型的基于激子能量转移的荧光传感阵列，用于区分不同的核碱基。创建了具有不同配体受体的四种QD纳米探针，包括巯基乙胺、N-乙酰基-L-半胱氨酸、2-二甲基-氨基乙烷和巯基乙酸，以检测和鉴定核碱基靶标。这些量子点作为选择性识别支架和信号转导元件的生物分子的目标。由分析物触发的量子点自组装诱导的粒子组装的程度导致粒子间的激子能量转移效应，其给出容易检测的荧光猝灭和不同的荧光响应模式。这些模式是每个核碱基的特征，可以通过线性判别分析定量区分。此外，建立了基于指纹的条形码，以方便地区分核碱基。这种模式传感被成功地用于识别未知浓度和五种稀有碱基的核碱基样品。在这种化学鼻子策略中，QD纳米探针的强大特性，加上使用纳米颗粒可以容易地获得的表面功能的多样性，提供了一种简单且无标记的生物传感方法，在生物医学应用中显示出巨大的前景。
A novel exciton energy transfer-based fluorescence sensing array for the discrimination of different nucleobases was developed through target nucleobase-triggered self-assembly of quantum dots (QDs). Four QD nanoprobes with different ligand receptors, including mercaptoethylamine, N-acetyl-L-cysteine, 2-dimethyl-aminethanethiol, and thioglycolic acid, were created to detect and identify nucleobase targets. These QDs served as both selective recognition scaffolds and signal transduction elements for a biomolecule target. The extent of particle assembly, induced by the analyte-triggered self-assembly of QDs, led to an exciton energy transfer effect between interparticles that gave a readily detectable fluorescence quenching and distinct fluorescence response patterns. These patterns are characteristic for each nucleobase and can be quantitatively differentiated by linear discriminate analysis. Furthermore, a fingerprint-based barcode was established to conveniently discriminate the nucleobases. This pattern sensing was successfully used to identify nucleobase samples at unknown concentrations and five rare bases. In this chemical noses strategy, the robust characteristics of QD nanoprobes, coupled with the diversity of surface functionality that can be readily obtained using nanoparticles, provides a simple and label-free biosensing approach that shows great promise for biomedical applications.