10^th World Congress on Chromatography April 16-17, 2020 Amsterdam, Netherlands

Biography:

Sawikowska wrote her Ph.D. thesis under supervision of world-class profossor Charles Johnson (William & Mary, Willamsburg, USA). She completed an internship at The James Hutton Institute, Dundee, United Kingdom. She gained years of experience in data analysis working for 10 years as an assistant professor at the Institute of Plant Genetics of the Polish Academy of Sciences in Poznań. From 2016, an assistant professor at the Department of Mathematical and Statistical Methods at the University of Life Sciences in Poznań. Author of 22 publications in the field of bioinformatics, statistical analysis of metabolomic, phenotypic and lipid data, repeatedly using R.

Abstract:

Comprehensive data analyses for high-thoughtput lc-ms data are presented. Methods of statistical analysis and integration for multifactorial experiments are shown. Examples data sets comes from studies on cereals response to pathogen infection and barley (Hordeum vulgare)  under drought stress. Primary metabolites, secondary metabolites and proteins were analized.

Data preprocessing, analysis and visualization was done in the R system. The statistical analyses were performed using procedures in Genstat package. Methods of omic data integration and visualization by networks are presented.

The correlation networks and differential correlation networks were constructed to compare relations between metabolites and proteins under different conditions. Traits are represented by nodes, lines (edges) correspond to correlations between  the pairs of traits. Modules - clusters with highly correlated traits are detected. Hubs, which are traits with many connections (correlations with other traits) are indicated.

Correlation network analysis was done using WGCNA package in R, the Pearson correlation matrix was transformed into an adjacency matrix using a power function. Modules were detected by clustering. Differential correlation networks were created using the test based on Fisher's Z transformation, with Bonferroni correction. Visualization of networks was performed in Cytoscape.

The algorithms can be adapted to any high-thoughtput lc-ms data.

Biography:

Asma Rahman has completed his Master in Chemistry in 2011 from University of Science and Technology Bannu, KP, Pakistan. She worked as lecturer of Chemistry in Chanab group of Colleges, Islamabad, Pakistan (from 2011 upto 2014). She got TWAS-CNPq fellowship in 2016 for PhD studies in Brazil. Now she is in the Final year of her PhD. During her Ph.D. she is involved in three scientific projects. The first one is the chromatographic determination and extraction of neonicotinoid pesticides (Thiamethoxam and Imidacloprid). The second part involves acute, oral and topical toxicity analysis of neonicotinoid pesticides in stingless bee. While the third and final part of my Ph.D. project involves biochemical and biomarkers study of the given pesticides. And thus she assure her great role in any scientific project related to Analytical/Inorganic, environmental, and green chemistry

Abstract:

This study describes the refined analytical method for extraction and determination of thiamethoxam and imidacloprid pesticide residues in stingless bee (Meliponascutellaris). QuEChERS approach was used to develop a method for extraction, samples were extracted with acetonitrile (ACN), followed by salting out, solid phase extraction (SPE), cleanup with mixture of PSA and C18 sorbents while detection was performed by using high performance liquid chromatography coupled with diode-array detector (HPLC-DAD) and LC-MS/MS. The techniques were proven satisfactory by exhibited the linear chromatographic response ranges from 0.1 to 1μg mL-1 for the tested pesticides, with correlation coefficients above 0.998. The Limit of detection (LOD) and Limit of Quantification (LOQ) for thiamethoxam were 1.01 and 3.06 μg mL-1 by HPLCDAD while 0.1 and 0.3 μg mL-1 by LC-MS/MS and for imidacloprid were 1.04 and 3.15 g mL-1 by HPLC-DAD while 0.04 and 0.1 μg mL-1 by LC-MS/MS respectively. The proposed methods did not require more than 10 minutes for analysis; both the pesticides thiamethoxam and imidacloprid were observed in a very short retention time of 3.1 and 4.2 minutes. Good recoveries were observed for analytes, ranged between 70% and 120% with relative standard deviations between replicates of <10%. This method provides lower detection limits and improved recovery of thiamethoxam and imidacloprid, which will help researchers to evaluate their potential negative impact on environment and ecology

Biography:

Marta Pastor Belda defended her PhD in 2018 at the age of 28 years with mention cum laude and international doctorate, obtaining the PhD award by University of Murcia (UMU), Spain. She has co-directed 7 TFG and 1 TFM and she has participated in teaching activities in the Department of Analytical Chemistry of UMU. She has a h-index of 9, she has published 21 papers in JCR journals which have been cited 224 times.

Abstract:

Onion organosulfur compounds (OSC) are well known for their health-related properties, which mainly related to the presence of thiosulfinates, volatile sulfur compounds. PDS is the sulfide found mostly in onions and PTSO is the most studied onion thiosulfonate, and it is the responsible for the smell of freshly cut onion. In recent years, the use of PTSO as a feed additive has increased due to improves the digestibility of nutrients, and reduces methane inhibition in ruminants. Besides, PTSO presents antimicrobial activity against Enterobacteriaceae, Escherichia Coli, Salmonella spp., Campylobacter jejuni and Eimeria acervulina. The determination of PDS and PTSO in animal feed was proposed using two analytical methodologies using gas chromatography coupled to mass spectrometry (GC-MS). After extraction of the compounds from animal feed with acetonitrile, a cleaning stage with C18, or dispersive liquid-liquid microextraction (DLLME), using 100 µL of CHCl3, were tried. Pig feed sample were used to validate both methodologies. After the comparison of both validation parameters, DLLME was selected due to this technique provided cleaner extracts, five-times greater linear ranges and lower detection limits than the simple cleaning due to the enrichment factor achieved. The relative standard deviation decreased from 22 % with the solid-based cleaning stage to 13% with DLLME. The usefulness of DLLME-GC-MS methodology was tested by analysing 10 different samples of chicken, hen, cow and fish feed. The concentrations of PDS were in the range 0.1-1.7 µg g-1 and those of PTSO were between 0.09-2.1 µg g-1.

The authors acknowledge the financial support of the Comunidad Autónoma de la Región de Murcia (CARM, Fundación Séneca, Project 19888/GERM/15), the Spanish MICINN (PGC2018-098363-B-I00), the European Commission (FEDER/ERDF) and DMC Research Center S.L.U. Kateryna Yavir also acknowledges the financial support of the Erasmus + Program

Biography:

Marta Pastor Belda defended her PhD in 2018 at the age of 28 years with mention cum laude and international doctorate, obtaining the PhD award by University of Murcia (UMU), Spain. She has co-directed 7 TFG and 1 TFM and she has participated in teaching activities in the Department of Analytical Chemistry of UMU. She has a h-index of 9, she has published 21 papers in JCR journals which have been cited 224 times.

Abstract:

Onion organosulfur compounds (OSC) are well known for their health-related properties, which mainly related to the presence of thiosulfinates, volatile sulfur compounds. PDS is the sulfide found mostly in onions and PTSO is the most studied onion thiosulfonate, and it is the responsible for the smell of freshly cut onion. In recent years, the use of PTSO as a feed additive has increased due to improves the digestibility of nutrients, and reduces methane inhibition in ruminants. Besides, PTSO presents antimicrobial activity against Enterobacteriaceae, Escherichia Coli, Salmonella spp., Campylobacter jejuni and Eimeria acervulina. The determination of PDS and PTSO in animal feed was proposed using two analytical methodologies using gas chromatography coupled to mass spectrometry (GC-MS). After extraction of the compounds from animal feed with acetonitrile, a cleaning stage with C18, or dispersive liquid-liquid microextraction (DLLME), using 100 µL of CHCl3, were tried. Pig feed sample were used to validate both methodologies. After the comparison of both validation parameters, DLLME was selected due to this technique provided cleaner extracts, five-times greater linear ranges and lower detection limits than the simple cleaning due to the enrichment factor achieved. The relative standard deviation decreased from 22 % with the solid-based cleaning stage to 13% with DLLME. The usefulness of DLLME-GC-MS methodology was tested by analysing 10 different samples of chicken, hen, cow and fish feed. The concentrations of PDS were in the range 0.1-1.7 µg g-1 and those of PTSO were between 0.09-2.1 µg g-1.

The authors acknowledge the financial support of the Comunidad Autónoma de la Región de Murcia (CARM, Fundación Séneca, Project 19888/GERM/15), the Spanish MICINN (PGC2018-098363-B-I00), the European Commission (FEDER/ERDF) and DMC Research Center S.L.U. Kateryna Yavir also acknowledges the financial support of the Erasmus + Program

Biography:

Krylov V. A. has completed his PhD from  Gorkiy State University, Russia. He is head of the division of analytical chemistry of the Nizhny Novgorod State University. The main direction of scientic research of professor Krylov is the development of the theory and applications of chromatography for the analysis of high purity substances, environmental objects and development of methods of the microextraction. He has over 200 scientic papers, including reviews on the analytical chemistry of air, high purity volatile substances and liquid-liquid microextraction. He presented papers in more than 50 russian and international conferences.

Abstract:

Polycyclic aromatic hydrocarbons are priority pollutants due to the very high toxicity. Therefore, to determine them, it is necessary to use sensitive methods with preconcentration. In the present study, a novel method named electroflotation-assisted emulsification liquid–liquid microextraction combined with GC-MS analysis has been proposed for the preconcentration and determination of polycyclic aromatic hydrocarbons in water samples. The advantage of electroflotation deemulsification is the ease of changing the gas flow and size of gas micro-bubbles. The formation of gas micro-bubbles occurs on platinum electrodes soldered into a glass concentrator. Hexane, toluene and o-xylene were used as extractants. Application of extract capillary collection have solved the problem of the light extractant sampling. Dispersion of the extractant was performed by ultrasound. The volume of microextracts was 7-10 µl. The recovery of polycyclic aromatic hydrocarbons from water was 62-95%. A DB-5 (5% phenyl + 95% polydimethylsiloxane) fused-silica capillary column (30 m ×0.25 mm i.d. and 0.25-µm film thickness)was applied for separation of the analytes. The limits of detection and quantification of polycyclic aromatic hydrocarbons achieved were at the level of 10^-5–10^-6 mg/L and  highly competitive with the best world results. The methods of accounting or elimination of systematic errors are proposed. Purification of solvents by Rayleigh distillation method allowed to obtain samples with impurity content lower than (1-4)∙  10^-3 mg/L. The expanded uncertainty of determination was calculated. It included precision, uncertainty of standards preparation, calibration, sample introduction, enrichment factor. The relative expanded uncertainty was at the level of 13-30%.

Biography:

I am a Professor of Chemistry, Aksaray University in Aksaray, Turkey. I joined Aksaray University in 2009 as Assistant Professor and then was quickly promoted to the Associate Professor in 2012 and full prefessor in 2018, because of my publications (32), and Grants (Scientific and Technological Research council of Turkey - TUBITAK, Aksaray University-ASU-BAP-2012-9, and Mersin University – Mersin-BAP Research Projects). I joined the Department of Chemistry at East Carolina University in 2005 as visiting doctoral student for four months by the support from Mersin University. I visited Technological and Educational Institute of Crete, Chania, Crete, Greece (2013) and Université Paris-EST Marne-la-Vallée., Paris, France (2015) with European ERASMUS BILETERAL as guest academic researcher.

Abstract:

‘Green chemistry’, ‘benign chemistry’, ‘clean chemistry’, etc., are all terms used to describe approaches that consumption of reagents and energy, minimize the use of feedstock, as well as generation of wastes in the chemical industry. There are several approaches to achieve this goal such as using environmentally benign solvents and reagents, reducing the chromatographic separation times. High-temperature liquid chromatography (HTLC) is one of these techniques. This technique deals with liquid chromatography separations performed at temperatures typically within a range from 40^â—¦C to 200^â—¦C using organic solvent-water mixtures as the mobile phase. Working at high temperature is a promising approach to increase the analysis speed. Increasing the temperature leads to an increase in the  mobile phase linear velocity. At the maximum operating pressure, the main benefit of an increase in the temperature is a reduction in the analysis time. In addition to decreasing the analysis time, reduction in mobile phase consumption could also be achieved leading to greener analysis. Traditional methods used for the analysis of pharmaceutically active compounds require large volumes of organic solvents and generate large amounts of waste. Also, the organic solvents used in analysis are very hazardous and dangerous for environmental and human health. With the awareness about the environment, the development of green technologies has been receiving increasing attention aiming at eliminating or reducing the amount of organic solvents consumed without loss in chromatographic performance. HTLC technique used the minimum level of organic solvent in which world wide attention has been obtained recently.

Biography:

Muhammad Idrees has 30 years diversified experience in medicinal chemistry, process development and reaction optimization, as well as formulation development, analytical testing and development, cGMP API production and sterile fill-finish services,Registration Affairs, Product development and Pharmaceutical manufacturing, Process Planning, Method development, Method validation, Statistical Methodology, Process & Cleaning Validation, Equipment Validation etc. Certificate Courses on cGMP, cGLP, Process Validation, CTD Documents, ISO 9001:2008, 13485-2003,14001-2004 have strong scientific, analytical, statistical, managerial and training skills.

Currently he is working as a Technical director and Chief executive officers in Novamed Pharmaceuticals. It is toll manufacturing oriented company, manufacturing of companies like Getz Pharma, ICI, SEARLE, Macter, Ray, and for Sanofi-Aventis. He is also looking after the Novamed Healthcare, the nutraceutical and cosmeceutical manufacturing plant.

Abstract:

Drug Manufacturing is the process of industrial-scale synthesis of pharmaceutical drugs by pharmaceutical companies. The process of drug manufacturing can be broken down into a series of unit operations such as Milling, Granulation,

Coating, tablet pressing and others. Before drug can be manufactured much work goes on formulation. Statistics are critical to the pharmaceutical industry, from clinical operations through manufacturing.

To maximize the overall effectiveness of the Manufacturing area in a proactive manner by supporting the operation as a Subject Matter Expert, performing trainings, theatrical and practical training assessments, support on SOPs, Batch Records and EEL updates, attending to downtime problems and engaging additional support as needed; thus creating minimized downtime, increased efficiency, and more immediate diagnosis and resolution of problems. 

• Identify Quality issues, escalate and conduct root cause analysis (RCA).
• Ability to respond with troubleshooting methods under time and delivery pressure while having a continued focus on quality
• Analyze and correct deficiencies in the operation of manufacturing processes and ensure the area escalation process is followed.  
• Identify and document repairs or improvements needed outside the scope of their expertise or available time.
• Manage paperwork and documents associated with manufacturing materials, batches and equipment.
• Participate in the development or improvements of SOPs and Batch Records.  
• Conduct training to associates and, practical and theatrical assessments.
• Support site GPS improvement initiatives
• Actively participate on new product introduction

Biography:

Anton Podjava has completed his PhD at the age of 27 years in the University of Latvia. He is a postdoctoral researcher at the University of Latvia. He has published 10 papers in reputed journals in the field of mass spectrometry and chromatography. 

Abstract:

Catecholamines (CAs) and their metabolites have always attracted interest of the scientific community due to the role played by these substances in different physiological processes. As pointed by various researchers, simultaneous quantitative determination of these chemicals in different biological fluids is an efficient way of identifying various diseases. However, this challenging task can be accomplished only by using powerful and selective detection methods as well as extensive sample preparation.

To minimize the number of necessary routine steps and enable selective simultaneous isolation of CAs together with their metabolites from biological samples, the strategy for the synthesis of novel molecularly-imprinted polymeric (MIP) sorbents has been developed in our laboratory which combines “dummy” template non-covalent and semi-covalent imprinting technology to incorporate binding sites for CAs and their corresponding metabolites. As a result, both static adsorption tests and dynamic evaluation in packed HPLC microcolumns have demonstrated that newly synthesized polymers exhibit good selectivity towards aforementioned analytes which could help diminish matrix effects during bioanalytical procedures. In view of further development of a solid-phase extraction method the retention behaviour of CAs and their acidic metabolites on MIP sorbents has been studied using different HPLC conditions which helped to identify solvent systems for SPE cartridge loading, washing and elution steps.

Funding: The work has been carried out within the Latvian postdoctoral research support project 1.1.1.2/VIAA/1/16/224 “The development of novel solid-phase extraction sorbents for simultaneous isolation of catecholamines and their acidic metabolites from biological fluids”.

Biography:

Sena CAGLAR ANDAC has completed her PhD at the age of 29 years from Istanbul University and postdoctoral studies from Medical Center of Munich University, Laboratory of BioSeparation. She is now working as Associate Professor at Istanbul University, Faculty of Pharmacy. She has researches published in liquid chromatography mass spectrometry for biological fluid analysis of drugs, on-line solid phase extraction coupled liquid chromatography, determination of drugs and degradation studies by high performance liquid chromatography, spectrophotometry, spectrofluorimetry

Abstract:

Biological matrices consisting of high molecular weight matrices i.e. endogenous substances, metabolites, proteins, blood cells and coexisting drugs are often difficult to handle for chromatographic analysis. To purify and enrich the target analytes and drugs in this complex matrices an effective sample pretreatment step is essential. Biological sample pretreatment has always been a forgotten part of the biopharmaceutical analysis. Among the sample pretreatment techniques traditional off-line sample processing like liquid-liquid extraction, protein precipitation and solid phase extraction are gradually becoming a limiting bottleneck in the chromatographic analysis. As an on-line and fully automated technique, coupling SPE column with HPLC so called on-line SPE-LC, leads to complete automation improving the analytical quality due to enhanced reproducibility, elimination of human errors and the possibility of multiple step elutions for clean-up of complex samples, reducing the cost and analysis time required (1–5).

In this presentation, importance of sample pretreatment in chromatography, requirements of coupling SPE to LC, chromatographic method development steps and achievement of complete depletion of matrix components will be discussed. Some applications of this technique to drug determination in complex bio-fluids will be presented in consideration of current publications. Also, different applications for LC systems equipped with MS/MS and UV detectors and examples of two and multidimensional separations will be shown, obtained results will be presented.