2023
DOI: 10.1021/acs.jpcb.3c02875
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A Next-Generation qPlus-Sensor-Based AFM Setup: Resolving Archaeal S-Layer Protein Structures in Air and Liquid

Theresa Seeholzer,
Daniela Tarau,
Lea Hollendonner
et al.

Abstract: Surface-layer (S-layer) proteins form the outermost envelope in many bacteria and most archaea and arrange in twodimensional quasicrystalline structures via self-assembly. We investigated S-layer proteins extracted from the archaeon Pyrobaculum aerophilium with a qPlus sensor-based atomic force microscope (AFM) in both liquid and ambient conditions and compared it to transmission electron microscopy (TEM) images under vacuum conditions. For AFM scanning, a next-generation liquid cell and a new protocol for cre… Show more

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Cited by 5 publications
(2 citation statements)
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“…[13][14][15][16] In general, FM-AFM analysis in highly viscous liquids is difficult because the viscosity of the liquid depresses the resonant quality factor of sensors and the force sensitivity, 13 and most FM-AFM studies are limited to low-molecular-weight liquids [17][18][19][20] . To overcome this issue, we have developed FM-AFM utilizing a quartz tuning fork sensor (qPlus sensor 21,22 ), which shows a higher quality factor than the conventional cantilevers even in a viscous liquid, 23 and have achieved FM-AFM analysis of the interface between silicone oil (poly(dimethylsiloxane); PDMS) with a viscosity of 970 mPa•s (number-average molecular weight Mn ~ 26000 from calculation 24 ) and mica. We successfully imaged the atomic-scale topography of the solid surface and the layered density distribution on the interface, representing the molecules-layering structures in which the PDMS molecular chains are oriented parallel to the mica surface.…”
Section: Introductionmentioning
confidence: 99%
“…[13][14][15][16] In general, FM-AFM analysis in highly viscous liquids is difficult because the viscosity of the liquid depresses the resonant quality factor of sensors and the force sensitivity, 13 and most FM-AFM studies are limited to low-molecular-weight liquids [17][18][19][20] . To overcome this issue, we have developed FM-AFM utilizing a quartz tuning fork sensor (qPlus sensor 21,22 ), which shows a higher quality factor than the conventional cantilevers even in a viscous liquid, 23 and have achieved FM-AFM analysis of the interface between silicone oil (poly(dimethylsiloxane); PDMS) with a viscosity of 970 mPa•s (number-average molecular weight Mn ~ 26000 from calculation 24 ) and mica. We successfully imaged the atomic-scale topography of the solid surface and the layered density distribution on the interface, representing the molecules-layering structures in which the PDMS molecular chains are oriented parallel to the mica surface.…”
Section: Introductionmentioning
confidence: 99%
“…Dynamic mode AFM, especially frequency modulation (FM-) AFM, would be a more powerful technique to detect conservative and dissipative interactions separately because it detects the interaction force as a change of resonance properties of the force sensor. Frequency-modulation atomic force microscopy (FM-AFM) has widely been applied for high-resolution structural analysis on solid/liquid interfaces. In general, FM-AFM analysis in highly viscous liquids is difficult because the viscosity of the liquid depresses the resonant quality factor of sensors and the force sensitivity, and most FM-AFM studies are limited to low-molecular-weight liquids. To overcome this issue, we have employed the quartz tuning fork sensor (qPlus sensor ), which shows a higher-quality factor than the conventional cantilevers even in a viscous liquid, and have achieved FM-AFM analysis of the interface between silicone oil [poly­(dimethylsiloxane); PDMS] with a viscosity of 970 mPa·s (number-average molecular weight M n ∼ 26,000 from calculation) and mica. We successfully imaged the atomic-scale topography of the solid surface and the layered density distribution on the interface, representing the molecules-layering structures in which the PDMS molecular chains are oriented parallel to the mica surface …”
Section: Introductionmentioning
confidence: 99%