Comparative Study of the Long-Term Impact of the COVID-19 Pandemic on Mental Health and Nutritional Practices Among International Elite and Sub-Elite Athletes: A Sample of 1420 Participants from 14 Countries.

Background: Although several studies have shown that the Coronavirus Disease 2019 (COVID-19) lockdown has had negative impacts on mental health and eating behaviors among the general population and athletes, few studies have examined the long-term effects on elite and sub-elite athletes. The present study aimed to investigate the long-term impact of COVID-19 lockdown on mental health and eating behaviors in elite versus sub-elite athletes two years into the pandemic. A cross-sectional comparative study was conducted between March and April 2022, involving athletes from 14 countries, using a convenient non-probabilistic and snowball sampling method.

Enantioseparation performance of CNTs as chiral selectors for the separation of ibuprofen isomers: a dispersion corrected DFT study.

The enantioseparation of chiral drugs has been of great interest in the modern pharmaceutical industry since the majority of bioorganic compounds are chiral. In this work, we have investigated the ability of pristine and defected (10, 5) chiral carbon nanotubes (CNTs) in enantioseparation of chiral R-/S-ibuprofen isomers. The interactions between the two enantiomers of ibuprofen and the outer surface and inner side wall of the chiral CNTs have been evaluated.

Chemical Composition, Antioxidant and Biological Activities of the Essential Oil and Extract of the Seeds of Glycine max (Soybean) from North Iran.

Glycine max (L.) Merrill (soybean) is a major leguminous crop, cultivated globally as well as in Iran. This study examines the chemical composition of soybean essential oil, and evaluates the antioxidant and antimicrobial activities of seeds on various plant pathogens that commonly cause irreparable damages to agricultural crops.

Synthesis of molecularly imprinted polypyrrole as an adsorbent for solid-phase extraction of warfarin from human plasma and urine.

The aim of this work was to develop a method for the clean-up and preconcentration of warfarin from biological sample employing a new molecularly imprinted polymer (MIP) as a selective adsorbent for solid-phase extraction (SPE). This MIP was synthesized using warfarin as a template, pyrrole as a functional monomer and vinyl triethoxysilane as a cross-linker. The molar ratio of 1:4:20 (template-functional monomer-cross-linker) showed the best results.

Phytochemical screening and antimicrobial activities of the constituents isolated from Koelreuteria paniculata leaves.

Methanolic extract of Golden rain leaves was fractionated by column chromatography on silica gel and 18 fractions were obtained. Antimicrobial activities of fractions were investigated against Bacillus subtilis, Staphylococcus aureus, Escherichia coli and Pseudomonas aeruginosa as quality control bacteria and fungus Pyricularia grisea which causes Blast disease in rice. Fractions showed more antibacterial activity at 0.

Extraction optimization of Loratadine by supramolecular solvent-based microextraction and its determination using HPLC.

Optimization of supramolecular solvent-based microextraction (SSME) of Loratadine and its determination with high-performance liquid chromatography (HPLC) with ultra violet (UV) detection were investigated. A factorial design (FD) and a central composite face-centered (CCF) were applied to evaluate the SSME procedure. The effect of four parameters on extraction efficiency was investigated.

Biochemical activities of acetone extracts of Hyssopus angustifolius.

Antioxidant and antihemolytic activities of acetone extracts of Hyssopus angustifolius flowers, leaf and stems were investigated employing different in vitro and ex vivo assay systems. IC50, for 1,1-diphenyl-2-picryl hydrazyl (DPPH) radical-scavenging activity were 239.4 +/- 8.

Separation optimization of quercetin, hesperetin and chrysin in honey by micellar liquid chromatography and experimental design.

The chemometrics approach was applied for the separation optimization of flavonoid markers (quercetin, hesperetin and chrysin) in honey using micellar liquid chromatography (MLC). The investigated method combines SPE of flavonoids from honey using C(18) cartridge and their separation and quantification by micellar liquid chromatography. A two level full factorial design was carried out to evaluate the effect of four experimental factors including concentration of SDS, alkyl chain length of the alcohol used as the organic modifier (N), volume percentage of the organic modifier (V(m)) and volume percentage of acetic acid (AcOH) in mobile phase on analytes retention times.

Prediction of immobilized artificial membrane-liquid chromatography retention of some drugs from their molecular structure descriptors and LFER parameters.

In this work multiple linear regression (MLR) was carried out for the prediction of immobilized artificial membrane (IAM) retention factors of 40 basic and neutral drugs in two mobile phase compositions. We developed some MLR models by using linear free energy relationships (LFER) parameters and also theoretically derived molecular descriptor. Root mean square error of MLR model in prediction of log k(wPBS)(IAM) and k(wMOPS)(IAM) are 0.

Quantitative structure migration relationship modeling of migration factor for some benzene derivatives in micellar electrokinetic chromatography.

Multiple linear regression (MLR) and artificial neural network (ANN) were used to predict the migration factors of benzene derivatives in MEKC. Some topological and electronic descriptors were calculated for each solute in the data set, and then the stepwise MLR method was used to select more significant descriptors and MLR model development. The selected descriptors are: Kier & Hall index (order1), relative negative charge surface area, HA dependent HDSA-2/TMSA, C component of moment of inertia, Y component of dipole moment and SDS to decanol ratio in mobile phase.