水合DNA的场致相干性和Fröhlich凝结

IF 1.9 4区 生物学 Q2 BIOLOGY
Mariusz Pietruszka
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引用次数: 0

摘要

在中等磁场的环境条件下,被限制在准二维水层中的水合DNA表现出宏观量子相干性。在6°C和低DNA浓度(100 ng/μL)下,我们观察到100 mT附近有一个急剧的横向电压跳变(~ 37 mV),随后有5个规则振荡(>20 mV),这表明与更高DNA浓度(1000 ng/μL)下的室温转变(~ 0.5 T)相比,相干性开始得更早。这些特征表明形成了通过场致能量局域化稳定的Fröhlich-like凝析液。系统的响应以几何“黎曼切片”的形式展开,相干域被磁场依次激活。几乎平坦的纵向电压证实了一个选择性的横向输运机制。傅里叶分析揭示了明显的低频峰,反映了相干状态下的规则内部调制。结合朗道量子化和超弱光子发射的早期发现,我们的研究结果支持dna -水系统中振动凝聚和几何相干的分层模型,对生物能量学和磁敏感性具有潜在的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Field-induced coherence and Fröhlich condensation in hydrated DNA
Hydrated DNA confined in quasi-two-dimensional water layers exhibits macroscopic quantum coherence at ambient conditions under moderate magnetic fields. At 6 °C and low DNA concentration (100 ng/μL), we observe a sharp transverse voltage jump (∼37 mV) near 100 mT, followed by five regular oscillations (>20 mV), indicating an earlier onset of coherence compared to room-temperature transitions (∼0.5 T) at higher DNA concentrations (1000 ng/μL). These features suggest the formation of a Fröhlich-like condensate stabilized by field-induced energy localization. The system's response unfolds as geometric 'Riemann slices,' coherence domains activated sequentially by the magnetic field. The nearly flat longitudinal voltage confirms a selective transverse transport regime. Fourier analysis reveals distinct low-frequency peaks, reflecting regular internal modulation within the coherent state. Together with earlier findings of Landau quantization and ultra-weak photon emission, our results support a hierarchical model of vibrational condensation and geometric coherence in DNA–water systems, with potential implications for bioenergetics and magnetosensitivity.
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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