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粗糙势中耦合布朗粒子的定向输运性能

刘晨昊 刘天宇 黄仁忠 高天附 舒咬根

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粗糙势中耦合布朗粒子的定向输运性能

刘晨昊, 刘天宇, 黄仁忠, 高天附, 舒咬根

Transport performance of coupled Brownian particles in rough ratchet

Liu Chen-Hao, Liu Tian-Yu, Huang Ren-Zhong, Gao Tian-Fu, Shu Yao-Gen
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  • 研究了粗糙棘轮中耦合粒子的定向输运行为, 并进一步讨论了阻尼条件下粗糙棘轮的扰动振幅、扰动波数、粒子间的耦合强度及自由长度等因素对耦合布朗粒子质心平均速度及斯托克斯效率的影响. 研究发现, 合适的粗糙棘轮扰动振幅和扰动波数能促进耦合布朗粒子的定向输运, 同时还能增强其斯托克斯效率. 此外, 合适的耦合强度和自由长度还能使粗糙棘轮的输运性能达到最强. 还发现小扰动振幅条件下, 通过改变耦合强度和自由长度能够诱导粗糙棘轮的流反转. 通过研究更具实际意义的粗糙棘轮, 本文所得结论能为实验上理解分子马达的运动行为提供理论指导, 还可为纳米量级分子机器的设计及粒子分离技术的实现提供实验启发.
    Molecular motor is a kind of protein macromolecule, which moves along the microfilament or microtubule in cell directionally and participates in all kinds of intracellular life activities fully. In order to study the directional motion of molecular motor, a series of ratchet models have been proposed. However, the potentials used in most of the ratchet models are smooth sawtooth potential or harmonic potential. Recently, the experimental studies show that intracellular impurities, spatial inhomogeneity or the folding process of protein can yield deviation from a smooth ratchet profile. This kind of deviation will roughen the known smooth potential. In fact, the roughness of potential is not only closely related to the properties of protein, but also has an important implication in transition rate. Therefore, the rough ratchet will be used to simulate the interaction between molecular motor and trajectory in this work. In addition, experimental researches show that there is a class of molecular motor that can move directionally without dragging load in organism. According to the theory presented by Wang and Oster (Wang H, Oster G 2002 Europhys. Lett. 57 134), the directional transport capability of this kind of motor can be investigated by means of Stokes efficiency. The higher the Stokes efficiency of the motor, the stronger the ability of the motor to use external input energy for directional motion.Here in this work, the overdamped Brownian transport of the two harmonically interacting particles is investigated, and the performance of transport is analyzed by studying the mean velocity and Stokes efficiency of the dimer induced by the introduction of roughness into the potential profile. The influences of the amplitude of perturbation, the wavenumber, the coupling strength and the free length of coupled Brownian particles on the directional transport performance are discussed in detail. According to the structure of ratchet, it is found that the roughness can either restrain or enhance the ratchet performance. It is shown that the appropriate amplitude and wavenumber of rough ratchet can promote the directional transport and enhance the Stokes efficiency of coupled Brownian particles. Moreover, one can distinguish between the optimal value of the coupling strength and free length that leads to a local maximum current. In addition, the directional transport of rough ratchet can be reversed by modulating the suitable coupling strength and free length. The conclusions obtained in this paper can provide theoretical guidance for understanding the motion behavior of molecular motor in experiment, and can also provide experimental inspiration for developing the nanometer machines and realizing the particle separation technology.
      通信作者: 高天附, tianfugao@synu.edu.cn ; 舒咬根, shuyg@itp.ac.cn
    • 基金项目: 国家自然科学基金(批准号: 11574329, 11774358, 11347003)、中国科学院前沿科学重点研究项目(批准号: Y7Y1472Y61)、中科院生物物理交叉创新团队项目(批准号: 2060299)、中国科学院战略性先导A项目(批准号: XDA17010504)和辽宁省自然科学基金(批准号: 20180550149)资助的课题
      Corresponding author: Gao Tian-Fu, tianfugao@synu.edu.cn ; Shu Yao-Gen, shuyg@itp.ac.cn
    • Funds: Project supported by the National Natural Science Foundation of China (Grant Nos. 11574329, 11774358, 11347003), the Key Research Program of Frontier Sciences of CAS (Grant No. Y7Y1472Y61), the CAS Biophysics Interdisciplinary Innovation Team Project (Grant No. 2060299), the Strategic Priority Research Program (A) of CAS (Grant No. XDA17010504), and the Natural Science Foundation of Liaoning Province, China (Grant No. 20180550149)
    [1]

    Xie P 2010 Int. J. Biol. Sci. 6 665

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    黎明, 欧阳钟灿, 舒咬根 2016 物理学报 18 188702Google Scholar

    Li M, Ouyang Z C, Shu Y G 2016 Acta Phys. Sin. 18 188702Google Scholar

    [3]

    郭晓强 2019 自然杂志 41 56

    Guo X Q 2019 Chin. J. Nat. 41 56

    [4]

    Allen R D, Metuzals J, Tasahi I, Brady S T, Gilbert S P 1982 Science 218 1127Google Scholar

    [5]

    Vale R D, Schnapp B J, Reese T S, Sheetz M P 1985 Cell 40 449Google Scholar

    [6]

    Vale R D, Reese T S, Sheetz M P 1985 Cell 42 39Google Scholar

    [7]

    Dey K K, Zhao X, Tansi B M, Mendez-Ortiz W J, Cordova-Figueroa U M, Golestanian R, Sen A 2015 Nano Lett. 15 8311Google Scholar

    [8]

    Nara Y, Niemi H, Steinheimer J, Stöcker H 2017 Phys. Lett. B 769 543

    [9]

    Mateos J L, Arzola A V, Volke-Seplveda K 2011 Phys. Rev. Lett. 106 168104Google Scholar

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    Minucci S, Pelicci P G 2006 Nat. Rev. Cancer 6 38Google Scholar

    [11]

    Palmigiano A, Santaniello F, Cerutti A, Penkov D, Pu-rushothama D 2018 Sci. Rep. 8 3198Google Scholar

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    Linke H 2002 Appl. Phys. A 75 167Google Scholar

    [13]

    Van den Heuvel M G L, Dekker C 2007 Science 317 333Google Scholar

    [14]

    Zhang H W, Wen S T, Zhang H T, Li Y X, Chen G R 2012 Chin. Phys. B 21 078701Google Scholar

    [15]

    Doering C R 1995 Nuovo Cimento 17 685Google Scholar

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    Astumian R D, Bier M 1994 Phys. Rev. Lett. 72 1766Google Scholar

    [17]

    Gao T F, Chen J C 2009 J. Phys. A: Math. Theor. 42 065002Google Scholar

    [18]

    Krishnan R, Chacko J, Sahoo M, Jayannavar A M 2006 J. Stat. Mech.: Theory Exp. 2006 P06017

    [19]

    Wang H Y, Bao J D 2013 Physica A 392 4850

    [20]

    Li P C, Chen H B, Fan H, Shen W M, Zheng Z G 2017 J. Phys. A: Math. Theor. 50 475003Google Scholar

    [21]

    延明月, 张旭, 刘晨昊, 黄仁忠, 高天附, 郑志刚 2018 物理学报 67 190501Google Scholar

    Yan M Y, Zhang X, Liu C H, Huang R Z, Gao T F, Zheng Z G 2018 Acta Phys. Sin. 67 190501Google Scholar

    [22]

    Camargo S, Anteneodo C 2018 Physica A 495 114Google Scholar

    [23]

    Frauenfelder H, Sligar S G, Wolynes P G 1991 Science 254 1598Google Scholar

    [24]

    Frauenfelder H, Wolynes P G, Austin R H 1999 Rev. Mod. Phys. 71 S419Google Scholar

    [25]

    Zwanzig R 1988 Proc. Natl. Acad. Sci. U.S.A. 85 2029Google Scholar

    [26]

    Marchesoni F 1997 Phys. Rev. E 56 2492Google Scholar

    [27]

    Parrondo J M R, Cisneros B J D 2002 Physics A 75 179

    [28]

    Wang H, Oster G 2002 Europhys. Lett. 57 134Google Scholar

    [29]

    Sekimoto K 1997 J. Phys. Soc. Jpn. 66 1234Google Scholar

    [30]

    Ai B Q, Xie H Z, Liao H Y, Liu L G 2006 J. Stat. Mech.: Theory Exp. 2006 P09016

    [31]

    Gehlen S V, Evstigneev M, Reimann P 2009 Phys. Rev. E 79 031114Google Scholar

    [32]

    Ai B Q, Zhong W R 2011 Phys. Rev. E 83 051106Google Scholar

  • 图 1  (a) 粗糙势$U\left( x \right)$随扰动振幅$\varepsilon $的变化, 其中扰动波数$H \!=\! 5$; (b) 粗糙势$U\left( x \right)$随扰动波数H的变化, 其中扰动振幅$\varepsilon \!=\! 0.1$

    Fig. 1.  (a) Diagram of the rough potential $U\left( x \right)$ varying with the amplitude of perturbation $\varepsilon $, where perturbed wavenumber $H = 5$; (b) diagram of the rough potential $U\left( x \right)$ varying with perturbed wavenumber H, where the perturbation amplitude $\varepsilon = 0.1$.

    图 2  不同耦合强度下, (a) 质心平均速度$\left\langle V \right\rangle $、(b) 斯托克斯效率$\eta $随粗糙势扰动振幅$\varepsilon $的变化($a = 0.5$, $A = 3$, $H = 5$)

    Fig. 2.  Curves of (a) the center-of-mass velocity $\left\langle V \right\rangle $ and (b) the Stokes efficiency $\eta $ varying with perturbation amplitude $\varepsilon $ for different coupling strength k, where $a = 0.5$, $A = 3$, $H = 5$.

    图 3  不同扰动波数H下 (a) 质心平均速度$\left\langle V \right\rangle $; (b) 斯托克斯效率$\eta $随耦合强度k的变化曲线, 其中$a = 0.2$, $A = 3$, $\varepsilon = 0.1$

    Fig. 3.  Curves of (a) the center-of-mass velocity $\left\langle V \right\rangle $; (b) the Stokes efficiency $\eta $ varying with coupling strength k for different perturbed wavenumber H, where $a = 0.2$, $A = 3$, $\varepsilon = 0.1$.

    图 4  不同噪声强度下, (a) 质心平均速度速度$\left\langle V \right\rangle $、(b) 斯托克斯效率$\eta $随扰动波数H的变化($a \!=\! 0.2$, $k \!=\! 10$, $A \!=\! 3$, $\varepsilon \!=\! 0.1$)

    Fig. 4.  Curves of (a) the center-of-mass velocity $\left\langle V \right\rangle $ and (b) the Stokes efficiency $\eta $ varying with perturbed wavenumber H for different noise intensity D, where $a = 0.2$, $k = 10$, $A = 3$, $\varepsilon = 0.1$.

    图 5  不同耦合强度下, (a) 质心平均速度$\left\langle V \right\rangle $、(b) 斯托克斯效率$\eta $随外力振幅A的变化($a = 0.2$, $H = 5$, $\varepsilon = 0.1$)

    Fig. 5.  Curves of (a) the center-of-mass velocity $\left\langle V \right\rangle $ and (b) the Stokes efficiency $\eta $ varying with amplitude A for different coupling strength k, where $a = 0.2$, $H = 5$, $\varepsilon = 0.1$.

    图 6  (a) 质心平均速度$\left\langle V \right\rangle $随耦合自由长度a的变化($A = 3$, $\varepsilon = 0.1$, $H = 5$, $k = 30$, $D = 0.1$); (b) 质心平均速度$\left\langle V \right\rangle $随耦合自由长度a及耦合强度k的变化($A = 3$, $\varepsilon = 0.1$, $H = 5$, $D = 0.1$)

    Fig. 6.  Curves of (a) the center-of-mass velocity $\left\langle V \right\rangle $ varying with free length a, where $A = 3$, $k = 30$, $\varepsilon = 0.1$, $D = 0.1$; the curves of (b) $\left\langle V \right\rangle $ varying with coupling strength k and free length a, where $A = 3$, $\varepsilon = 0.1$, $k = 30$, $D = 0.1$.

  • [1]

    Xie P 2010 Int. J. Biol. Sci. 6 665

    [2]

    黎明, 欧阳钟灿, 舒咬根 2016 物理学报 18 188702Google Scholar

    Li M, Ouyang Z C, Shu Y G 2016 Acta Phys. Sin. 18 188702Google Scholar

    [3]

    郭晓强 2019 自然杂志 41 56

    Guo X Q 2019 Chin. J. Nat. 41 56

    [4]

    Allen R D, Metuzals J, Tasahi I, Brady S T, Gilbert S P 1982 Science 218 1127Google Scholar

    [5]

    Vale R D, Schnapp B J, Reese T S, Sheetz M P 1985 Cell 40 449Google Scholar

    [6]

    Vale R D, Reese T S, Sheetz M P 1985 Cell 42 39Google Scholar

    [7]

    Dey K K, Zhao X, Tansi B M, Mendez-Ortiz W J, Cordova-Figueroa U M, Golestanian R, Sen A 2015 Nano Lett. 15 8311Google Scholar

    [8]

    Nara Y, Niemi H, Steinheimer J, Stöcker H 2017 Phys. Lett. B 769 543

    [9]

    Mateos J L, Arzola A V, Volke-Seplveda K 2011 Phys. Rev. Lett. 106 168104Google Scholar

    [10]

    Minucci S, Pelicci P G 2006 Nat. Rev. Cancer 6 38Google Scholar

    [11]

    Palmigiano A, Santaniello F, Cerutti A, Penkov D, Pu-rushothama D 2018 Sci. Rep. 8 3198Google Scholar

    [12]

    Linke H 2002 Appl. Phys. A 75 167Google Scholar

    [13]

    Van den Heuvel M G L, Dekker C 2007 Science 317 333Google Scholar

    [14]

    Zhang H W, Wen S T, Zhang H T, Li Y X, Chen G R 2012 Chin. Phys. B 21 078701Google Scholar

    [15]

    Doering C R 1995 Nuovo Cimento 17 685Google Scholar

    [16]

    Astumian R D, Bier M 1994 Phys. Rev. Lett. 72 1766Google Scholar

    [17]

    Gao T F, Chen J C 2009 J. Phys. A: Math. Theor. 42 065002Google Scholar

    [18]

    Krishnan R, Chacko J, Sahoo M, Jayannavar A M 2006 J. Stat. Mech.: Theory Exp. 2006 P06017

    [19]

    Wang H Y, Bao J D 2013 Physica A 392 4850

    [20]

    Li P C, Chen H B, Fan H, Shen W M, Zheng Z G 2017 J. Phys. A: Math. Theor. 50 475003Google Scholar

    [21]

    延明月, 张旭, 刘晨昊, 黄仁忠, 高天附, 郑志刚 2018 物理学报 67 190501Google Scholar

    Yan M Y, Zhang X, Liu C H, Huang R Z, Gao T F, Zheng Z G 2018 Acta Phys. Sin. 67 190501Google Scholar

    [22]

    Camargo S, Anteneodo C 2018 Physica A 495 114Google Scholar

    [23]

    Frauenfelder H, Sligar S G, Wolynes P G 1991 Science 254 1598Google Scholar

    [24]

    Frauenfelder H, Wolynes P G, Austin R H 1999 Rev. Mod. Phys. 71 S419Google Scholar

    [25]

    Zwanzig R 1988 Proc. Natl. Acad. Sci. U.S.A. 85 2029Google Scholar

    [26]

    Marchesoni F 1997 Phys. Rev. E 56 2492Google Scholar

    [27]

    Parrondo J M R, Cisneros B J D 2002 Physics A 75 179

    [28]

    Wang H, Oster G 2002 Europhys. Lett. 57 134Google Scholar

    [29]

    Sekimoto K 1997 J. Phys. Soc. Jpn. 66 1234Google Scholar

    [30]

    Ai B Q, Xie H Z, Liao H Y, Liu L G 2006 J. Stat. Mech.: Theory Exp. 2006 P09016

    [31]

    Gehlen S V, Evstigneev M, Reimann P 2009 Phys. Rev. E 79 031114Google Scholar

    [32]

    Ai B Q, Zhong W R 2011 Phys. Rev. E 83 051106Google Scholar

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出版历程
  • 收稿日期:  2019-08-06
  • 修回日期:  2019-09-17
  • 上网日期:  2019-11-27
  • 刊出日期:  2019-12-01

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