Structural-spectroscopic analysis of DFO/PVA films as potential materials used in revealing fingerprints on non-porous surfaces.

2021 ◽  
pp. 68-76
Author(s):  
Paulina Zygadło ◽  
◽  
Aneta Lewkowicz ◽  
Keyword(s):  
Amino Acids ◽  
Physicochemical Properties ◽  
Polymer Films ◽  
Spectroscopic Analysis ◽  
Luminescent Probe ◽  
Novel Materials ◽  
Porous Surfaces ◽  
Potential Applications ◽  
Materials Used

1,8-diazafluoren-9-one (DFO) is a sensitive luminescent probe targeting α-amino acids. The study described herein exploited its physicochemical properties to form DFO/PVA polymer films. As a result, materials with stable and reactive DFO were obtained. Spectroscopic analysis of the formed films showed that the films with the highest concentration of DFO exhibited the highest reactivity. Novel materials in the form of thin DFO/PVA films with potential applications for revealing fingerprints on non-porous surfaces were obtained.

Tropolone-Based Treatments for Visualising Latent Fingermarks on Porous Surfaces

2019 ◽  
Author(s):  
Clara M. Agapie ◽  
Melissa Sampson ◽  
William Gee
Keyword(s):  
Amino Acids ◽  
Uv Radiation ◽  
Membered Ring ◽  
Diazonium Salts ◽  
Chemical Detection ◽  
Latent Fingerprints ◽  
Porous Surfaces

The work describes a new chemical means of visualising latent fingerprints (fingermarks) using tropolone. Tropolone reacts with amino acids within the fingermark residue to form adducts that absorb UV radiation. These adducts provide useful contrast on highly-fluorescent prous surfaces will illuminated with UV radiation. The conjugated seven-membered ring of the tropolone adduct can be reacted further diazonium salts, which is demonstrated here with formation of two dyes. The methodology is extremely rapid, occurring in minutes with mild heating, and can be applied before ninhydrin in a chemical detection sequence. <br>

A Study on Host Tropism Determinants of Influenza Virus Using Machine Learning

2020 ◽  
Vol 15 (2) ◽  
pp. 121-134 ◽  
Author(s):  
Eunmi Kwon ◽  
Myeongji Cho ◽  
Hayeon Kim ◽  
Hyeon S. Son
Keyword(s):  
Machine Learning ◽  
Amino Acids ◽  
Influenza Virus ◽  
Random Forest ◽  
Physicochemical Properties ◽  
Protein Sequences ◽  
Influenza Viruses ◽  
Host Tropism ◽  
Post Hoc ◽  
Ha Protein

Background: The host tropism determinants of influenza virus, which cause changes in the host range and increase the likelihood of interaction with specific hosts, are critical for understanding the infection and propagation of the virus in diverse host species. Methods: Six types of protein sequences of influenza viral strains isolated from three classes of hosts (avian, human, and swine) were obtained. Random forest, naïve Bayes classification, and knearest neighbor algorithms were used for host classification. The Java language was used for sequence analysis programming and identifying host-specific position markers. Results: A machine learning technique was explored to derive the physicochemical properties of amino acids used in host classification and prediction. HA protein was found to play the most important role in determining host tropism of the influenza virus, and the random forest method yielded the highest accuracy in host prediction. Conserved amino acids that exhibited host-specific differences were also selected and verified, and they were found to be useful position markers for host classification. Finally, ANOVA analysis and post-hoc testing revealed that the physicochemical properties of amino acids, comprising protein sequences combined with position markers, differed significantly among hosts. Conclusion: The host tropism determinants and position markers described in this study can be used in related research to classify, identify, and predict the hosts of influenza viruses that are currently susceptible or likely to be infected in the future.

scholarly journals Toxicological Profile of Plasmonic Nanoparticles in Zebrafish Model

2021 ◽  
Vol 22 (12) ◽  
pp. 6372
Author(s):  
Marta d’Amora ◽  
Vittoria Raffa ◽  
Francesco De Angelis ◽  
Francesco Tantussi
Keyword(s):  
Surface Plasmon Resonance ◽  
Adverse Effects ◽  
Physicochemical Properties ◽  
Surface Plasmon ◽  
Danio Rerio ◽  
Plasmonic Nanoparticles ◽  
Comprehensive Understanding ◽  
Zebrafish Model ◽  
Toxicological Profile ◽  
Materials Used

Plasmonic nanoparticles are increasingly employed in several fields, thanks to their unique, promising properties. In particular, these particles exhibit a surface plasmon resonance combined with outstanding absorption and scattering properties. They are also easy to synthesize and functionalize, making them ideal for nanotechnology applications. However, the physicochemical properties of these nanoparticles can make them potentially toxic, even if their bulk metallic forms are almost inert. In this review, we aim to provide a more comprehensive understanding of the potential adverse effects of plasmonic nanoparticles in zebrafish (Danio rerio) during both development and adulthood, focusing our attention on the most common materials used, i.e., gold and silver.

scholarly journals Amino Acids as the Potential Co-Former for Co-Crystal Development: A Review

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3279
Author(s):  
Ilma Nugrahani ◽  
Maria Anabella Jessica
Keyword(s):  
Amino Acids ◽  
Physicochemical Properties ◽  
Deep Eutectic Solvent ◽  
Strong Interactions ◽  
Green Method ◽  
Pharmaceutical Ingredients ◽  
Gastrointestinal Fluid ◽  
Non Covalent Interactions ◽  
Natural Deep Eutectic Solvent ◽  
Covalent Interactions

Co-crystals are one of the most popular ways to modify the physicochemical properties of active pharmaceutical ingredients (API) without changing pharmacological activity through non-covalent interactions with one or more co-formers. A “green method” has recently prompted many researchers to develop solvent-free techniques or minimize solvents for arranging the eco-friendlier process of co-crystallization. Researchers have also been looking for less-risk co-formers that produce the desired API’s physicochemical properties. This review purposed to collect the report studies of amino acids as the safe co-former and explored their advantages. Structurally, amino acids are promising co-former candidates as they have functional groups that can form hydrogen bonds and increase stability through zwitterionic moieties, which support strong interactions. The co-crystals and deep eutectic solvent yielded from this natural compound have been proven to improve pharmaceutical performance. For example, l-glutamine could reduce the side effects of mesalamine through an acid-base stabilizing effect in the gastrointestinal fluid. In addition, some amino acids, especially l-proline, enhances API’s solubility and absorption in its natural deep eutectic solvent and co-crystals systems. Moreover, some ionic co-crystals of amino acids have also been designed to increase chiral resolution. Therefore, amino acids are safe potential co-formers, which are suitable for improving the physicochemical properties of API and prospective to be developed further in the dosage formula and solid-state syntheses.

Physicochemical Properties of Adducts of Light Fullerenes and Amino Acids

2021 ◽  
Vol 95 (11) ◽  
pp. 2181-2197
Author(s):  
N. A. Charykov ◽  
V. A. Keskinov ◽  
A. V. Petrov
Keyword(s):  
Amino Acids ◽  
Physicochemical Properties

Synthesis of chelated compounds of amino acids with metals

2021 ◽  
Author(s):  
A.A. Yamskikh ◽  
L.A. Ivanova
Keyword(s):  
Amino Acids ◽  
Physicochemical Properties ◽  
Alkaline Earth ◽  
Alkaline Earth Metals ◽  
Iron Copper ◽  
Copper Zinc ◽  
Glycine Synthesis

The article describes the reactions of glycine synthesis with alkaline, alkaline-earth and divalent 3-d metals, which were carried out during the experiment. Hydroxides or sulfates of lithium, magnesium, calcium, manganese, iron, copper, zinc, cobalt and sodium were used as reagents for the synthesis. The physicochemical properties of the obtained compounds were studied. Keywords: chelates, glycinates of alkaline and alkaline earth metals, glycinates of divalent 3-d metals.

Circularly polarized luminescence from oriented polymer films doped with a tetraphenylethylene-based conjugated oligomer

2021 ◽  
Author(s):  
Wan Zhang ◽  
Baining Ni ◽  
Hongkun Li ◽  
Yonggang Yang ◽  
Yongfang Li ◽  
...  
Keyword(s):  
Quantum Yield ◽  
Polymer Films ◽  
High Quantum Yield ◽  
Oriented Polymer ◽  
Active Materials ◽  
Circularly Polarized ◽  
Circularly Polarized Luminescence ◽  
Polarized Luminescence ◽  
Potential Applications ◽  
Wide Potential

Circularly polarized luminescence (CPL) materials have attracted increasing interest due to their wide potential applications. However, achieving CPL-active materials with both large dissymmetry factor (glum) and high quantum yield (F)...

scholarly journals Chemical Constituents of Cordyceps cicadae

2015 ◽  
Vol 10 (12) ◽  
pp. 1934578X1501001 ◽  
Author(s):  
Zhi-Bo Chu ◽  
Jun Chang ◽  
Ying Zhu ◽  
Xun Sun
Keyword(s):  
Amino Acids ◽  
Spectroscopic Analysis ◽  
Chemical Constituents ◽  
2D Nmr ◽  
Cordyceps Cicadae ◽  
Nmr Techniques ◽  
Dopamine Analogues

One new bifuran derivative (1), together with fourteen known compounds, were isolated from Cordyceps cicadae X. Q. Shing. The known compounds included nine nucleosides, uracil (2), uridine (3), 2′-deoxyuridine (4), 2′-deoxyinosine (5), guanosine (6), 2′-deoxyguanosine (7), thymidine (8), adenosine (9), and 2′-deoxyadenosine (10); three amino acids tryptophan (11), phenylalanine (12), and tyrosine (13); and two dopamine analogues N-acetylnoradrenaline (14) and its dimer, trans–2-(3′,4′-dihydroxyphenyl)-3-acetylamino-7-( N-acetyl-2″-amino-ethylene)-1,4-benzodioxane (15). Their structures were decisively elucidated by spectroscopic analysis, including 1D and 2D NMR techniques.

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