Integration of Biomolecules with Inorganic Ferroelectrics: A Novel Approach to Nanoscale Devices

2006 ◽  
Vol 950 ◽  
Author(s):  
Brian Reiss ◽  
Orlando Auciello ◽  
Leonidas E. Ocola ◽  
Millicent Anne Firestone
Keyword(s):  
Fluorescence Microscopy ◽  
Peptide Binding ◽  
Peptide Sequence ◽  
Flow Rates ◽  
Binding Strength ◽  
Short Peptide ◽  
Novel Approach ◽  
Nanofluidic Device ◽  
Short Peptide Sequence ◽  
Initial Results

ABSTRACTIn this work, we investigate the feasibility of using a surface-tethered heptapeptide sequence as the basis for a ferroelectric-actuated component in a nanofluidic device. The fluorescently-labeled peptide sequence, (CISLLHSTC) is shown by fluorescence microscopy to selectively coat the PZT patterned channel floors. The peptide binding strength to PZT is determined over a range of flow rates in the patterned channel by imaging the fluorescence intensity of the coated channel and monitoring the output spectroscopically. The peptide is found to be stripped from the PZT at flow rates exceeding 5mL/h. Initial results demonstrating the possibility of covalently integrating the short peptide sequence to larger biological components such as antibodies are also presented.

A short peptide sequence is conserved between three tick-borne Borrelia

1987 ◽  
Vol 15 (4) ◽  
pp. 644-644
Author(s):  
LYN HAYES ◽  
LEONARD C. ARCHARD ◽  
DAVID J. M. WRIGHT
Keyword(s):  
Peptide Sequence ◽  
Short Peptide ◽  
Short Peptide Sequence

Short peptide sequence identity between human viruses and HLA-B27-binding human ‘self’ peptides

2013 ◽  
Vol 133 (2) ◽  
pp. 79-89 ◽  
Author(s):  
Shipeng Sun ◽  
Tao Wang ◽  
Bo Pang ◽  
Huamin Wei ◽  
Guijian Liu
Keyword(s):  
Peptide Sequence ◽  
Hla B27 ◽  
Short Peptide ◽  
Sequence Identity ◽  
Human Viruses ◽  
Short Peptide Sequence ◽  
Self Peptides

Intertwined gababutin-based supramolecular double helix

2019 ◽  
Vol 43 (12) ◽  
pp. 4830-4834 ◽  
Author(s):  
Maruthi Konda ◽  
Tapas Ghosh ◽  
Shaikh M. Mobin ◽  
Apurba K. Das
Keyword(s):  
Double Helix ◽  
Peptide Sequence ◽  
Short Peptide ◽  
Short Peptide Sequence

A dimer-assembly driven supramolecular double helix is observed for the gababutin-based short peptide sequence and this architecture exhibits electrochemical features.

Growth of Self-Assembled Bio-Organic Nanomatrices for Skin Tissue Engineering — An in vitro Study

Nano LIFE ◽  
2016 ◽  
Vol 06 (01) ◽  
pp. 1650002 ◽  
Author(s):  
Yoliem S. Miranda-Alarcón ◽  
Alexandra M. Brown ◽  
Anthony M. Santora ◽  
Ipsita A. Banerjee
Keyword(s):  
Three Dimensional ◽  
Dermal Fibroblasts ◽  
Peptide Sequence ◽  
Skin Tissue ◽  
Epidermal Keratinocytes ◽  
Type I ◽  
Short Peptide ◽  
Self Assembled ◽  
Short Peptide Sequence

In this paper, we have developed self-assembled nanoscale assemblies that were prepared by conjugating furan-2-carboxylic acid-3-aminopropyl amide with the short peptide sequence Gly-His (abbreviated Gly-His-FCAP). To mimic the extracellular matrix of mammalian fibroblasts and keratinocytes, the assemblies were then conjugated with Type I collagen. We then integrated the collagen bound Gly-His-FCAP assemblies with a short peptide sequence derived from salamander skin into the nanoscale assemblies for the first time to impart regenerative and wound healing properties to the composites. The antioxidant, antimicrobial and biodegradable properties were examined and results indicate that the nanocomposites displayed antioxidant properties as displayed by 1,1-diphenyl-2-picrylhydrazyl (DPPH) assay. The biodegradability was found to be gradual. The nanocomposites were also found to inhibit the growth of the fungus Rhizopus sporangia over an 18[Formula: see text]h growth period. As proof of concept, to demonstrate the development of three-dimensional (3D) engineered skin in vitro, 3D printed PLA scaffolds of 2.5[Formula: see text]mm thickness were submerged in media containing nanocomposites and co-cultures of dermal fibroblasts with epidermal keratinocytes mimicking three dimensional skin substitute was examined. Our results indicated that the nanocomposites adhered to and supported cell proliferation and mimicked the components of skin and may have potential applications in skin tissue regeneration.

Stabilisation of Hg1-xCdxTe:Hg1-yCdyTex ≠ y) Heterointerfaces and Applications in Infra Red Devices

1990 ◽  
Vol 216 ◽  
Author(s):  
Paul A. Clifton ◽  
Paul D. Brown
Keyword(s):  
Barrier Layer ◽  
Epitaxial Layers ◽  
Long Wavelength ◽  
Long Term Stability ◽  
Novel Approach ◽  
Infra Red ◽  
Passivation Layers ◽  
Cdte Buffer ◽  
Initial Results

ABSTRACTThe interface between Hg1-xCdxTe(0 ≦ x ≦ 1) and Hg1-yCdyTe(0 ≦ y ≦ 1) epitaxial layers of different composition (x ≠ y) is unstable with regard to the intermixing of the Hg and Cd cations within the Group II sublattice. This phenomenon may give rise to long-term stability problems in HgTe-(Hg,Cd)Te superlattices and composition grading between (Hg,Cd)Te absorber layers and CdTe buffer or passivation layers in epitaxial infra red detectors. In this paper, a novel approach to the inhibition of interdiffusion in these systems is discussed. This involves the growth of an intervening ZnTe barrier layer at the heterointerface between two (Hg,Cd)Te layers. Initial results are presented which indicate the effectiveness of this technique in reducing interdiffusion in an experimental heterostructure grown by MOVPE. Some possible applications in a variety of HgTe-based long wavelength devices are discussed.

scholarly journals pKa Determination of a Histidine Residue in a Short Peptide Using Raman Spectroscopy

Molecules ◽  
2019 ◽  
Vol 24 (3) ◽  
pp. 405 ◽  
Author(s):  
Brett H. Pogostin ◽  
Anders Malmendal ◽  
Casey H. Londergan ◽  
Karin S. Åkerfeldt
Keyword(s):  
Raman Spectroscopy ◽  
Nmr Spectroscopy ◽  
1H Nmr ◽  
1H Nmr Spectroscopy ◽  
Peptide Sequence ◽  
Short Peptide ◽  
Dependent Behavior ◽  
Pka Determination ◽  
Key Functional Groups

Determining the pKa of key functional groups is critical to understanding the pH-dependent behavior of biological proteins and peptide-based biomaterials. Traditionally, 1H NMR spectroscopy has been used to determine the pKa of amino acids; however, for larger molecules and aggregating systems, this method can be practically impossible. Previous studies concluded that the C-D stretches in Raman are a useful alternative for determining the pKa of histidine residues. In this study, we report on the Raman application of the C2-D probe on histidine’s imidazole side chain to determining the pKa of histidine in a short peptide sequence. The pKa of the tripeptide was found via difference Raman spectroscopy to be 6.82, and this value was independently confirmed via 1H NMR spectroscopy on the same peptide. The C2-D probe was also compared to other Raman reporters of the protonation state of histidine and was determined to be more sensitive and reliable than other protonation-dependent signals. The C2-D Raman probe expands the tool box available to chemists interested in directly interrogating the pKa’s of histidine-containing peptide and protein systems.

A novel approach for dynamic flow simulation of gas pipelines using teaching–learning-based optimization algorithm

2018 ◽  
Vol 233 (9) ◽  
pp. 3085-3099 ◽  
Author(s):  
Ali Pourfard ◽  
Esmaeel Khanmirza ◽  
Reza Madoliat
Keyword(s):  
Boundary Conditions ◽  
Optimization Algorithm ◽  
Intelligent Algorithm ◽  
Flow Rates ◽  
Flow Equations ◽  
Gas Network ◽  
Novel Approach ◽  
Teaching Learning Based Optimization ◽  
Outlet Flow ◽  
Teaching Learning

Simulation of a natural gas network operation is a prerequisite for optimization and control tasks. Treating gas in a transient manner is necessary for accurate simulation of gas networks. However, solving the governing nonlinear partial differential equations of pipe flows is a challenging task. In this paper, a novel approach is proposed based on using an intelligent algorithm called teaching–learning-based optimization. This approach simplifies transient simulation of gas networks with a specified type of boundary conditions. Teaching–learning-based optimization estimates different values for network inlet flow rates. Then by knowing the inlet boundary conditions of the network, the discretized flow equations become linear and the flow equations of each pipe can be solved independently. Thus, the network outlet flow variables can be easily obtained. The differences of obtained and actual network outlet flow rates are considered as a cost function or error. Finally, this intelligent algorithm determines the optimum inlet flow rates at each time level, which minimize the error. The proposed approach is implemented on the in-service gas network. To validate the simulation results, a conventional gradient-based method called trust region dogleg is also used for simulation of the gas network. The comparison of numerical results confirms the accuracy and efficiency of this approach, while it is more computationally efficient. Moreover, the substitution of teaching–learning-based optimization with another powerful intelligent optimization algorithm would not improve the performance of the proposed approach.

scholarly journals Sequence-selective DNA binding with cell-permeable oligoguanidinium–peptide conjugates

2015 ◽  
Vol 51 (23) ◽  
pp. 4811-4814 ◽  
Author(s):  
Jesús Mosquera ◽  
Mateo I. Sánchez ◽  
Julián Valero ◽  
Javier de Mendoza ◽  
M. Eugenio Vázquez ◽  
...  
Keyword(s):  
Dna Binding ◽  
Binding Site ◽  
Peptide Binding ◽  
Peptide Fragment ◽  
Peptide Conjugates ◽  
Bzip Protein ◽  
Short Peptide ◽  
Peptide Binding Site ◽  
Selective Dna Binding

Conjugation of a short peptide fragment from a bZIP protein to an oligoguanidinium tail results in a DNA-binding miniprotein that selectively interacts with composite sequences containing the peptide-binding site next to an A/T-rich tract.

Use of RNA-based genotypic approaches for quantification of viable but non-culturable Salmonella sp. in biosolids

2008 ◽  
Vol 58 (9) ◽  
pp. 1823-1828 ◽  
Author(s):  
T. Dunaev ◽  
S. Alanya ◽  
M. Duran
Keyword(s):  
Environmental Stress ◽  
Reverse Transcription ◽  
Rna Isolation ◽  
Stress Genes ◽  
Viable Cells ◽  
Novel Approach ◽  
Polymerase Chain ◽  
Stress Related Genes ◽  
Initial Results ◽  
Accurate Quantification

Recent research efforts demonstrated an increase in fecal coliform counts in anaerobically digested biosolids after dewatering. Variety of bacteria enters viable but nonculturable (VNC) state as a survival response when exposed to environmental stress. Increase in coliform concentration after digestion and dewatering processes have been attributed to cells going into a viable but non-culturable state implying that traditional coliform enumeration methods are not sufficient to determine number of viable cells. Therefore, this research has been undertaken to develop a method for rapid and accurate quantification of viable but non-culturable pathogens in biosolids via monitoring and quantifying stress-related genes in Salmonella sp. The proposed method has the potential to allow accurate detection of pathogens in biosolids even when the cells are non-culturable due to environmental stress. The research proposed identification of stress related genes in Salmonella when cells are exposed to heat for different durations by using available Salmonella microarrays. In the context of this study the identified stress genes can be quantified through reverse transcription, complementary DNA (cDNA) synthesis, and amplification of cDNA via quantitative reverse transcription polymerase chain reaction (qRT-PCR). Then quantity of mRNA can be correlated to cell viability and cells ability to grow, i.e., their culturability. Development of a novel approach to understand the pathogen behaviour in biosolids is key to ensure low public health risks from biosolids. Nevertheless, the initial results suggest that intact RNA isolation from biosolids is still challenging task.

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