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单光子调制频谱用于量子点荧光寿命动力学的研究

张强强 胡建勇 景明勇 李斌 秦成兵 李耀 肖连团 贾锁堂

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单光子调制频谱用于量子点荧光寿命动力学的研究

张强强, 胡建勇, 景明勇, 李斌, 秦成兵, 李耀, 肖连团, 贾锁堂

Research on fluorescence lifetime dynamics of quantum dot by single photons modulation spectrum

Zhang Qiang-Qiang, Hu Jian-Yong, Jing Ming-Yong, Li Bin, Qin Cheng-Bing, Li Yao, Xiao Lian-Tuan, Jia Suo-Tang
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  • 本文开展了基于单光子调制频谱测量量子点荧光寿命动力学特性的研究.在脉冲激光激发下,对探测到的量子点单光子荧光信号进行频谱分析以获得荧光调制频谱,研究发现特征频谱信号幅值与荧光寿命之间存在确定的非线性对应关系.这种单光子调制频谱方法能有效消除背景噪声和单光子探测器暗计数的影响,用于分析量子点荧光寿命动力学特性时在准确度以及时间分辨率方面都较目前普遍采用的荧光衰减曲线寿命拟合方法呈现出明显优势:当涨落误差为5%时,寿命测量准确度提高了一个数量级;当涨落误差和偏离误差均为5%时,对动力学测量效率以及时间分辨率提高了四倍以上.因此单光子调制频谱可以作为获取量子点在短时间尺度内激发态动力学信息的一种有效技术手段.
    Fluorescence lifetime is an important characteristic parameter of quantum dot, which plays an important role in studying the optical properties of quantum dot. As a common method to obtain fluorescence lifetime, fluorescence decay curve fitting has been broadly accepted. The least squares fitting to the fluorescence decay curve is performed by using the exponential decay function to obtain fluorescence lifetime with taking the instrument response function into account. However, since the fluorescence decay curve inevitably involves noise photons such as dark counts and stray photons, there is a certain error in the fluorescence lifetime obtained by the method. In order to reduce the error and improve the accuracy of the results, enough photons are required. Nevertheless, too many photons will result in low efficiency of lifetime analysis and temporal resolution, and therefore this method can hardly extract dynamic information on a smaller temporal scale. In this paper, we propose a new method of obtaining the fluorescence lifetime of quantum dot, namely the single photons modulation spectrum. The basic idea is based on the relationship between the fluorescence lifetime and the signal amplitude of pulse repetition frequency in a single dynamic process. The experimental results show that the fluctuation errors and deviation errors of lifetime obtained by our method are significantly lower than those of the previous method when the same number of photons is used. Therefore, high-accuracy fluorescence lifetime can be obtained. When the fluctuation error is 5%, the accuracy is increased by more than one order of magnitude. And to obtain the fluorescence lifetime of the same error level, the number of photons required for our method is much smaller than that of the previous one, which indicates that our method can effectively suppress the disturbance of noise photons and enables the lifetime measurement with high efficiency and temporal resolution. When the fluctuation error and deviation error are both 5%, the efficiency and temporal resolution are increased by more than four times. Finally, real-time lifetime trajectory corresponding to the photoluminescence intensity time trajectory is obtained by our method, where rich dynamic information can be obtained on a sub-second temporal scale. The method of obtaining fluorescence lifetime with powerful anti-noise capability, high efficiency and temporal resolution proposed in this paper can play an important role in studying the fluorescence dynamics of single quantum systems.
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    Fisher B, Caruge J M, Zehnder D, Bawendi M 2005 Phys. Rev. Lett. 94 087403

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    Klimov V I, Mikhailovsky A A, McBranch D W, Leatherdale C A, Bawendi M G 2000 Science 287 1011

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    Klimov V I, Mikhailovsky A A, Xu S, Malko A, Hollingsworth J A, Leatherdale C A, Eisler H J, Bawendi M G 2000 Science 290 314

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    Chen Q G, Zhou T Y, He C Y, Jiang Y Q, Chen X 2011 Anal. Methods 3 1471

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    Hu F R, Lv B H, Yin C Y, Zhang C F, Wang X Y, Lounis B, Xiao M 2016 Phys. Rev. Lett. 116 106404

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    Yuan G C, Gómez D E, Kirkwood N, Boldt K, Mulvaney P 2018 ACS Nano 12 3397

    [15]

    Fisher B R, Eisler H J, Stott N E, Bawendi M G 2004 J. Phys. Chem. B 108 143

    [16]

    Schlegel G, Bohnenberger J, Potapova I, Mews A 2002 Phys. Rev. Lett. 88 137401

    [17]

    Schmidt R, Krasselt C, Gohler C, von Borczyskowski C 2014 ACS Nano 8 3506

    [18]

    Zhang K, Chang H Y, Fu A H, Alivisatos A P, Yang H 2006 Nano Lett. 6 843

    [19]

    Htoon H, Hollingsworth J A, Dickerson R, Klimov V I 2003 Phys. Rev. Lett. 91 227401

    [20]

    Rabouw F T, Vaxenburg R, Bakulin A A, van Dijk Moes R J A, Bakker H J, Rodina A, Lifshitz E, Efros A L, Koenderink A F, Vanmaekelbergh D 2015 ACS Nano 9 10366

    [21]

    Li Z J, Zhang G F, Li B, Chen R Y, Qin C B, Gao Y, Xiao L T, Jia S T 2017 Appl. Phys. Lett. 111 153106

    [22]

    Yang C G, Zhang G F, Feng L H, Li B, Li Z J, Chen R Y, Qin C B, Gao Y, Xiao L T, Jia S T 2018 Opt. Express 26 11889

    [23]

    Zang H D, Routh P K, Huang Y, Chen J S, Sutter E, Sutter P, Cotlet M 2016 ACS Nano 10 4790

    [24]

    Rusimova K R, Purkiss R M, Howes R, Lee F, Crampin S, Sloan P A 2018 Science 361 1012

    [25]

    Li B, Zhang G F, Yang C G, Li Z J, Chen R Y, Qin C B, Gao Y, Huang H, Xiao L T, Jia S T 2018 Opt. Express 26 4674

    [26]

    Hu J Y, Yu B, Jing M Y, Xiao L T, Jia S T, Qin G Q, Long G L 2016 Light-Sci. Appl. 5 e16144

    [27]

    Hu J Y, Liu Y, Liu L L, Yu B, Zhang G F, Xiao L T, Jia S T 2015 Photon. Res. 3 24

    [28]

    Mobli M, Hoch J C 2014 Prog. Nucl. Magn. Reson. Spectrosc. 83 21

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    He W J, Qin C B, Qiao Z X, Zhang G F, Xiao L T, Jia S T 2016 Carbon 109 264

  • [1]

    Pietryga J M, Park Y S, Lim J, Fidler A F, Bae W K, Brovelli S, Kilmov V I 2016 Chem. Rev. 116 10513

    [2]

    Semonin O E, Luther J M, Choi S, Chen H Y, Gao J, Nozik A J, Beard M C 2011 Science 334 1530

    [3]

    Kim M R, Ma D L 2015 J. Phys. Chem. Lett. 6 85

    [4]

    Bae W K, Park Y S, Lim J, Lee D G, Padilha L A, McDaniel H, Robel I, Lee C H, Pietryga J M, Klimov V I 2013 Nat. Commun. 4 2661

    [5]

    Huang Q Q, Pan J Y, Zhang Y N, Chen J, Tao Z, He C, Zhou K F, Tu Y, Lei W 2016 Opt. Express 24 25955

    [6]

    Sukhovatkin V, Hinds S, Brzozowski L, Sargent E H 2009 Science 324 1542

    [7]

    Fisher B, Caruge J M, Zehnder D, Bawendi M 2005 Phys. Rev. Lett. 94 087403

    [8]

    Klimov V I, Mikhailovsky A A, McBranch D W, Leatherdale C A, Bawendi M G 2000 Science 287 1011

    [9]

    Klimov V I, Mikhailovsky A A, Xu S, Malko A, Hollingsworth J A, Leatherdale C A, Eisler H J, Bawendi M G 2000 Science 290 314

    [10]

    Chen Q G, Zhou T Y, He C Y, Jiang Y Q, Chen X 2011 Anal. Methods 3 1471

    [11]

    Fan Y Y, Liu H L, Han R C, Huang L, Shi H, Sha Y L, Jiang Y Q 2015 Sci. Rep. 5 9908

    [12]

    Welsher K, Yang H 2014 Nat. Nanotechnol. 9 198

    [13]

    Hu F R, Lv B H, Yin C Y, Zhang C F, Wang X Y, Lounis B, Xiao M 2016 Phys. Rev. Lett. 116 106404

    [14]

    Yuan G C, Gómez D E, Kirkwood N, Boldt K, Mulvaney P 2018 ACS Nano 12 3397

    [15]

    Fisher B R, Eisler H J, Stott N E, Bawendi M G 2004 J. Phys. Chem. B 108 143

    [16]

    Schlegel G, Bohnenberger J, Potapova I, Mews A 2002 Phys. Rev. Lett. 88 137401

    [17]

    Schmidt R, Krasselt C, Gohler C, von Borczyskowski C 2014 ACS Nano 8 3506

    [18]

    Zhang K, Chang H Y, Fu A H, Alivisatos A P, Yang H 2006 Nano Lett. 6 843

    [19]

    Htoon H, Hollingsworth J A, Dickerson R, Klimov V I 2003 Phys. Rev. Lett. 91 227401

    [20]

    Rabouw F T, Vaxenburg R, Bakulin A A, van Dijk Moes R J A, Bakker H J, Rodina A, Lifshitz E, Efros A L, Koenderink A F, Vanmaekelbergh D 2015 ACS Nano 9 10366

    [21]

    Li Z J, Zhang G F, Li B, Chen R Y, Qin C B, Gao Y, Xiao L T, Jia S T 2017 Appl. Phys. Lett. 111 153106

    [22]

    Yang C G, Zhang G F, Feng L H, Li B, Li Z J, Chen R Y, Qin C B, Gao Y, Xiao L T, Jia S T 2018 Opt. Express 26 11889

    [23]

    Zang H D, Routh P K, Huang Y, Chen J S, Sutter E, Sutter P, Cotlet M 2016 ACS Nano 10 4790

    [24]

    Rusimova K R, Purkiss R M, Howes R, Lee F, Crampin S, Sloan P A 2018 Science 361 1012

    [25]

    Li B, Zhang G F, Yang C G, Li Z J, Chen R Y, Qin C B, Gao Y, Huang H, Xiao L T, Jia S T 2018 Opt. Express 26 4674

    [26]

    Hu J Y, Yu B, Jing M Y, Xiao L T, Jia S T, Qin G Q, Long G L 2016 Light-Sci. Appl. 5 e16144

    [27]

    Hu J Y, Liu Y, Liu L L, Yu B, Zhang G F, Xiao L T, Jia S T 2015 Photon. Res. 3 24

    [28]

    Mobli M, Hoch J C 2014 Prog. Nucl. Magn. Reson. Spectrosc. 83 21

    [29]

    He W J, Qin C B, Qiao Z X, Zhang G F, Xiao L T, Jia S T 2016 Carbon 109 264

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出版历程
  • 收稿日期:  2018-10-05
  • 修回日期:  2018-11-07
  • 刊出日期:  2019-01-05

单光子调制频谱用于量子点荧光寿命动力学的研究

  • 1. 山西大学激光光谱研究所, 量子光学与光量子器件国家重点实验室, 太原 030006;
  • 2. 山西大学极端光学协同创新中心, 太原 030006

摘要: 本文开展了基于单光子调制频谱测量量子点荧光寿命动力学特性的研究.在脉冲激光激发下,对探测到的量子点单光子荧光信号进行频谱分析以获得荧光调制频谱,研究发现特征频谱信号幅值与荧光寿命之间存在确定的非线性对应关系.这种单光子调制频谱方法能有效消除背景噪声和单光子探测器暗计数的影响,用于分析量子点荧光寿命动力学特性时在准确度以及时间分辨率方面都较目前普遍采用的荧光衰减曲线寿命拟合方法呈现出明显优势:当涨落误差为5%时,寿命测量准确度提高了一个数量级;当涨落误差和偏离误差均为5%时,对动力学测量效率以及时间分辨率提高了四倍以上.因此单光子调制频谱可以作为获取量子点在短时间尺度内激发态动力学信息的一种有效技术手段.

English Abstract

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