Fibrinogen adsorption mechanisms at the gold substrate revealed by QCM-D measurements and RSA modeling

Kubiak, Katarzyna; Adamczyk, Zbǐgniew; Cieśla, Michał

doi:10.1016/j.colsurfb.2015.11.052

Cited by 23 publications

(39 citation statements)

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“…Because of its numerous advantages, the QCM method is used in an increasing number of investigations for nanoparticles involving liposomes and vesicles [ 44 , 45 , 56 , 96 ], macroions [ 31 , 51 , 52 , 53 ], proteins [ 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 ], viruses [ 56 , 66 , 67 , 68 , 69 , 70 ], bacteria [ 71 , 72 , 73 , 74 , 75 , 76 , 77 ] and living cells, comprising cancerous ones [ 48 , 78 , 79 , 80 , 81 , 82 ]. However, as mentioned above, a quantitative theoretical interpretation of QCM measurements for bioparticles is often not feasible because the frequency and the dissipation shifts depend on many inadequately controlled parameters.…”

Section: Resultsmentioning

confidence: 99%

“…An alternative method was applied in Refs. [ 3 , 27 , 28 , 49 , 50 , 60 , 61 , 62 ], where the dry mass of adsorbed solute (proteins) was derived from the solution of the mass transfer equation discussed in the first section. The mass transfer rate constant necessary for performing such calculations can be derived either ab initio via the numerical solution of the Navier-Stokes equation [ 96 ] or from calibrating experiments involving metal nanoparticles characterized by a large density such as silver [ 42 ] and gold [ 3 ].…”

Section: Resultsmentioning

confidence: 99%

“…Numerous QCM-D investigations have also been performed for viruses [ 56 , 66 , 67 , 68 , 69 , 70 ] and proteins [ 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 ] using various modifications of the sensors. However, only sporadic experiments have been carried out for physiochemically well-defined systems, where the solute adsorption kinetics was also acquired using complementary methods.…”

Section: Resultsmentioning

confidence: 99%

“…Moreover, in contrast to the streaming potential methods, the QCM signal is not directly affected by the solute or the interface charge. Because of its numerous advantages and a deceptive simplicity of measurements, the QCM method is used in numerous investigations involving nanoparticles [ 3 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 ], macroions [ 29 , 31 , 51 , 52 , 53 ] proteins [ 27 , 28 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 ], viruses [ 66 , 67 , 68 , 69 , 70 ], bacteria [ 71 , 72 , 73 , 74 , 75 , 76 , 77 ], and living cells [ 78 , 79 ,…”

Section: Introductionmentioning

confidence: 99%

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Nanoparticle and Bioparticle Deposition Kinetics: Quartz Microbalance Measurements

et al. 2021

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Controlled deposition of nanoparticles and bioparticles is necessary for their separation and purification by chromatography, filtration, food emulsion and foam stabilization, etc. Compared to numerous experimental techniques used to quantify bioparticle deposition kinetics, the quartz crystal microbalance (QCM) method is advantageous because it enables real time measurements under different transport conditions with high precision. Because of its versatility and the deceptive simplicity of measurements, this technique is used in a plethora of investigations involving nanoparticles, macroions, proteins, viruses, bacteria and cells. However, in contrast to the robustness of the measurements, theoretical interpretations of QCM measurements for a particle-like load is complicated because the primary signals (the oscillation frequency and the band width shifts) depend on the force exerted on the sensor rather than on the particle mass. Therefore, it is postulated that a proper interpretation of the QCM data requires a reliable theoretical framework furnishing reference results for well-defined systems. Providing such results is a primary motivation of this work where the kinetics of particle deposition under diffusion and flow conditions is discussed. Expressions for calculating the deposition rates and the maximum coverage are presented. Theoretical results describing the QCM response to a heterogeneous load are discussed, which enables a quantitative interpretation of experimental data obtained for nanoparticles and bioparticles comprising viruses and protein molecules.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Nanoparticle and Bioparticle Deposition Kinetics: Quartz Microbalance Measurements

et al. 2021

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“…From the Sauerbrey equation, the measured frequency change can be used to calculate the mass change (¦m) of the surface of the working electrode. 3 There were previous studies on the adsorption of various compounds [4][5][6][7] and corrosion test 8,9 conducted using the QCM. However, despite the popularity of researches into corrosion inhibitors for iron and its alloys (mild, carbon and stainless steels) in HCl solution, 10-14 the real-time adsorption of those inhibitor on a corroding surface of an iron working electrode in HCl solution was relatively unaddressed, especially using QCM.…”

Section: Introductionmentioning

confidence: 99%

Quartz Crystal Microbalance Study of Adenosine as Inhibitor for Fe Corrosion in HCl Solution

et al. 2016

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Adenosine is known to be a corrosion inhibitor for Fe-based metal. We report the real-time mass change due to the adsorption of adenosine molecules/complex on iron in HCl solution using the quartz crystal microbalance. It is proposed that the adsorption process of adenosine molecules/complex could happen along with iron dissolution process at rest potential. During polarization measurement, the mass loss of the surface of iron was positively related to the resistance of the solution with adenosine. It is believed that during the anodic reaction, the mass loss was caused by desorption of the pre-adsorbed adenosine molecules and also iron dissolution.

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Polysaccharide–Protein Multilayers Based on Chitosan–Fibrinogen Assemblies for Cardiac Cell Engineering

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Tassis

Papagiannopoulos

et al. 2021

Macromolecular Bioscience

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The cell and tissue culture substrates play a pivotal role in the regulation of cell‐matrix and cell‐cell interactions. The surface properties of the materials control a wide variety of cell functions. Amongst various methods, layer‐by‐layer (LbL) assembly is a versatile surface coating technique for creating controllable bio‐coatings. Here, polysaccharide/protein multilayers are proposed, which are fabricated by immersive LbL assembly and based on the chitosan/fibrinogen pair for improving the adhesion and spreading of cardiomyocytes. Two approaches in LbL assembly are employed for clarifying the effect of the bilayers order and their concentration on cardiomyocytes viability and morphology. Fourier transform infrared spectroscopy (FTIR) measurements show that the adsorption of the biopolymers is enhanced during the LbL deposition in a synergistic manner. Contact angle measurements indicate that the multilayers are alternating from less to more hydrophilic behavior depending on the biopolymer that is added last. Confocal microscopy with immunostained fibrinogen reveals that the amount of the protein is higher when the concentration of the immersion solution is increased, however, for low solution concentration it is speculated that interdigitation between the separate biopolymer layers takes place. This work motivates the use of fibrinogen in polysaccharide/protein multilayers for enhanced cytocompatibility in cardiac tissue engineering.

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Fibrinogen adsorption mechanisms at the gold substrate revealed by QCM-D measurements and RSA modeling

Cited by 23 publications

References 39 publications

Nanoparticle and Bioparticle Deposition Kinetics: Quartz Microbalance Measurements

Nanoparticle and Bioparticle Deposition Kinetics: Quartz Microbalance Measurements

Quartz Crystal Microbalance Study of Adenosine as Inhibitor for Fe Corrosion in HCl Solution

Polysaccharide–Protein Multilayers Based on Chitosan–Fibrinogen Assemblies for Cardiac Cell Engineering

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