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Quantifying the Precision of Single-Molecule Torque and Twist Measurements Using Allan Variance

机译:使用艾伦方差量化单分子扭矩和扭曲测量的精度

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摘要

Single-molecule manipulation techniques have provided unprecedented insights into the structure, function, interactions, and mechanical properties of biological macromolecules. Recently, the single-molecule toolbox has been expanded by techniques that enable measurements of rotation and torque, such as the optical torque wrench (OTW) and several different implementations of magnetic (torque) tweezers. Although systematic analyses of the position and force precision of single-molecule techniques have attracted considerable attention, their angle and torque precision have been treated in much less detail. Here, we propose Allan deviation as a tool to systematically quantitate angle and torque precision in single-molecule measurements. We apply the Allan variance method to experimental data from our implementations of (electro)magnetic torque tweezers and an OTW and find that both approaches can achieve a torque precision better than 1 pN · nm. The OTW, capable of measuring torque on (sub)millisecond timescales, provides the best torque precision for measurement times≲10 s, after which drift becomes a limiting factor. For longer measurement times, magnetic torque tweezers with their superior stability provide the best torque precision. Use of the Allan deviation enables critical assessments of the torque precision as a function of measurement time across different measurement modalities and provides a tool to optimize measurement protocols for a given instrument and application.
机译:单分子操纵技术为生物大分子的结构,功能,相互作用和机械性能提供了前所未有的见识。最近,单分子工具箱已通过能够测量旋转和扭矩的技术进行了扩展,例如光学扭矩扳手(OTW)和磁性(扭矩)镊子的几种不同实现方式。尽管对单分子技术的位置和力精度的系统分析引起了极大的关注,但对它们的角度和扭矩精度的处理却很少。在这里,我们提出将Allan偏差作为一种系统地定量单分子测量中的角度和扭矩精度的工具。我们将艾伦方差法应用于来自(电磁)电磁扭矩镊子和OTW的实现的实验数据,发现这两种方法均可实现优于1 pN·nm的扭矩精度。 OTW能够在毫秒级的时间范围内测量扭矩,在10s的测量时间内可提供最佳的扭矩精度,此后漂移成为限制因素。对于更长的测量时间,具有卓越稳定性的电磁扭矩镊子可提供最佳的扭矩精度。使用Allan偏差可以对扭矩精度进行严格评估,这些扭矩精度是跨不同测量方式的测量时间的函数,并提供了一种工具,可以针对给定的仪器和应用优化测量方案。

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