Label-free fluorescent catalytic biosensor for highly sensitive and selective detection of the ferrous ion in water samples using a layered molybdenum disulfide nanozyme coupled with an advanced chemometric model
Label-free fluorescent catalytic biosensor for highly sensitive and selective detection of the ferrous ion in water samples using a layered molybdenum disulfide nanozyme coupled with an advanced chemometric model
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DOI：
10.1039/c5an02457a
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发表时间：
2016-01-01
期刊：
影响因子：
4.2
通讯作者：
Ni, Yongnian
中科院分区：
文献类型：
--
作者：
Hu, Jie;Zhuang, Qianfen;Ni, Yongnian
在这项工作中，我们开发了一种新型的层状二硫化钼（MoS 2）纳米片过氧化物酶模拟物为基础的荧光催化生物传感器的灵敏和选择性检测Fe 2+。结果表明，Fe 2+显著增强了MoS 2纳米片对OPD氧化生成高荧光物质2，3-二氨基吩嗪（DAPN）的催化活性，MoS 2/OPD/H2 O2生物传感器在Fe 2+浓度依赖性作用下显示出显著的荧光增强。在0.005-0.20 μ M的范围内，荧光强度与Fe 2+的浓度成正比，检测限为3.5 nM（信号/噪声= 3）。与OPD/H2 O2生物传感器相比，MoS 2/OPD/H2 O2生物传感器对Fe 2+具有更高的灵敏度和选择性，表明MoS 2纳米片的有效性。为了进一步证明MoS 2/OPD/H2 O2生物传感器检测真实的水样中Fe 2+的可行性，我们测量了真实的系统的三维激发-发射光谱，并将激发-发射矩阵（EEM）数据提交给基于并行因子分析的高级化学计量学模型（PAAFAC）。结果表明，PARAFAC模型的应用可进一步提高生物传感器的选择性，并可用于真实的水样中Fe 2+浓度的测定。这项工作为在生物传感器领域使用MoS 2纳米片的催化性能和先进的化学计量学模型开辟了新的机会。
In this work, we developed a novel layered molybdenum disulfide (MoS2) nanosheet peroxidase mimetic-based fluorescent catalytic biosensor for the sensitive and selective detection of Fe2+. It was found that Fe2+ remarkably enhanced the catalytic activity of the MoS2 nanosheet for oxidation of OPD to form a highly fluorescent substance, 2,3-diaminophenazine (DAPN), and the MoS2/OPD/H2O2 biosensor displayed substantial fluorescence enhancement after addition of Fe2+ in a concentration-dependent manner. The fluorescence intensity was proportional to the concentration of Fe2+ over a range of 0.005-0.20 mu M with a limit of detection of 3.5 nM (signal/noise = 3). When compared with the OPD/H2O2 biosensor, the MoS2/OPD/H2O2 biosensor provided a higher sensitivity and selectivity for Fe2+, suggesting the validity of the use of the MoS2 nanosheets. To further demonstrate the feasibility of the MoS2/OPD/H2O2 biosensor for Fe2+ detection in real water samples, we measured the three-dimensional excitation-emission spectra of the real system, and submitted the excitation-emission matrix (EEM) data to an advanced chemometrics model based on parallel factor analysis (PARAFAC). The results showed that the use of the PARAFAC model could further enhance the selectivity of the biosensor and determine Fe2+ concentration in the presence of unexpected interferents from real water samples. This work opens up new opportunities for the use of the catalytic properties of the MoS2 nanosheets and advanced chemometrics models in the field of biosensors.