14^th International Conference & Expo on Chromatography Techniques February 21-22, 2022 Berlin, Germany

Biography:

 

Dalia Alaa El-Din Aly El-Waseef: Egyptian, Graduated at Faculty of Medicine, Ain Shams University-Cairo-Egypt (1998). Working at Department of Histology and Cell Biology since 10/2000. Assistant Professor at Department of Histology and Cell Biology since 3/2019 till now. Has several international publications and speaker at several international conferences. Has one published book in the field of histology.

MB BCh- Faculty of Medicine, Ain Shams University (1998)Demonstrator at Department of Histology and Cell Biology (2000-2008)MSc Histology (2008)

Ass. Lecturer at Department of Histology and Cell Biology (2008-2012)MD Histology (2012)

Lecturer at Department of Histology and Cell Biology (2012 -2019)

Assistant Professor at Department of Histology and Cell Biology (2019 till now)

Abstract:

 

BACKGROUND: Chronic alcoholism is associated with impaired cognitive function and remarkable histological changes.

 AIM OF THE WORK: To demonstrate whether the histological changes associated with chronic alcohol ingestion are due to activation of Cerebral NLRP3 Inflammasomes by miRNA155 or not.

MATERIALS AND METHODS: Sixteen male Wistar rats were used. They were divided into 2 groups. Group I; the control naïve group, group II; chronic alcohol ingestion (10g/kg/day). Brain biochemical and histological studies were done. RESULTS: Alcohol induced cognitive impairment with increasing the expression of miRNA155, NLRP3, IL-1β and caspase-8 immune-reaction. CONCLUSIONS: alcohol could aggravate cognitive dysfunction via targeting NLRP3 inflammasomes pathway and its epigenetic regulator miRNA155.

CONCLUSIONS: MiRNA155 could be a molecular marker and therapeutic target in alcohol dependent patients for early detection and prevention of cognitive dysfunction.  

 

Key Words; Alcohol; miRNA155; NLRP3 inflammasomes; Caspase-8; IL-I β; Frontal lobe.

 

Biography:

Suliman khan has expertise in about biotechnology and food technologies.  He works on fraud food and food spoilage determination, controlling, by different fast nondestructive technologies. He has MPhil or Master biotechnology and PhD scholar school of food and biological engineering Jiangsu university Jiangsu china. He teaching as lecturer in college national and international level.

 

Abstract:

The rising global population has led to increased food demand. Quality food and food products are important for healthy living. Fraud food is one of the most urgent and active topics of foods industries. More food fraud opportunities have been created by the increasing concerns of the food supply chain and reducing customer trust. Care to instrumental finding systems such as Raman spectroscopy, hyper spectral imaging technique, NMR, NIRS, EM, E-nose, E-eye, and Electronic tongue coupled with chemometric approaches has greatly increased because they have been demonstrated as a promising alternative for the purpose of detection and monitoring food fraud and food spoilage. Fraud food and food spoilage are closely related to foodborne diseases. Food-borne diseases affect one out of every ten people (600 million a year), and about 420, 000 people die per year. The aim of this review was to discuss the detection and controlling of fraudulent food and food spoilage by nondestructive technology. Similarly, food verification is important because food fraud sometimes has unfortunate consequences, for instance, the spoilage of milk powder reported in China in 2008, which caused the death of six children and the hospitalization of thousands of others.

Biography:

Abstract:

The detection of several kinds of trace explosives has become enormously important in order to protect people, infrastructures, and properties. Consequently, this project compares two analysis techniques—HPLC and GC—to determine which is faster, more selective, more sensitive, gives higher resolution and is more accurate, even with the smallest quantities, without requiring difficult sample preparation, for detecting trace explosives. Six representative explosive compounds (2-NP, 3-NP, 4- NP, 2,4 DNT, 2,6 DNT and 1,3 DNT) on three different surfaces (glass, plastic, and wood) were analysed with both HPLC-DAD and GC-MS. Several dilutions, ranging from 1.0 mg mL-1 to1.0 ng mL-1 , and two different calibration curves were made for each compound based on the results for each instrument. The results indicated that the 2, 3 and 4 nitrophenols seem to have better stability and recovery than other compounds, particularly when using GC-MS. A better recovery was obtained when using a glass surface, which was followed by plastic and then wood surfaces, with wood having the poorest recovery. For example, the 4-NP has been recovered with a measurement of 324.25 ng mL-1 , 164.45 ng mL-1 and 23.5 ng mL-1 for glass, plastic and wood respectively. Sometimes the trace explosive could only be detected when using GC-MS, as it is more sensitive than HPLC-DAD.

Biography:

Petra Bajerova completed her doctoral studies at the University of Pardubice at the age of 29. Since 2015 she has been working as an associate professor at the University of Pardubice, Faculty of Chemical Technology, Department of Analytical Chemistry and focuses mainly on the use of classical and green analytical methods for the preparation of samples of natural origin. She has published more than 40 papers in reputed journals.           

 

 

Abstract:

An optimized headspace solid-phase micro extraction method coupled with gas chromatography and a flame ionization detector (HS-SPME/FID) was used to distinguish between larch wood originating from Central Europe and larch wood originating from Siberia. For both types of larch, variability was found in the composition of volatile organic compounds as well as in the intensities of volatile compounds in the chromatograms. Differences between larch trees could be influenced by various factors such as genetic, environmental and spatial factors. The optimized method was used to measure 82 samples of European and Siberian larches. Volatile organic compounds fingerprints were characterized by calculating retention indices for each compound. Statistical evaluation of retention indices obtained from VOC fingerprints was performed using multivariate regression with dimension reduction - orthogonal projection to latent structure (OPLS). This approach was able to distinguish the correct origin of all tested larch wood samples. Thus, the analysis of VOC fingerprints by HS/SPME-GC/FID in combination with OPLS is a useful tool for distinguishing between European larch and Siberian larch wood.

 

Biography:

Resident doctor: Institut of Biochemistry –University :Goce Delcev,North Macedonia.Certified from Gliniera Institut-USA  as Clinical trials manager.Birth place and work place:Kosovo.

 

 

 

Abstract:

Introduction: The purpose of this study was to: follow-up patients with diabetes  type ll  through testing of: glycated hemoglobin (HbA1c) derivatives, but the importance of the HPLC method during HbA1c testing in: diagnosis, monitoring, follow-up, access  to diabet type ll  therapy also obtained results from: diabetes ,pre  diabetes, patient insulin insertion, monotherapy, but also findings of abnormal HgB forms in diabetic patients, such as hemoglobinopathies, and during the research we found that the diagnostic orientation through a HbA1c  test with HPLC  is in some pathologies, which was both preventive and diagnostic in other pathologies.
The research lasted over 1 year at the Olive medical & laboratory diagnostic center.

Method:HPLC(high performance  liquid chromatography) G8 Tosoh,an exclusive distributor :

Keis group pharmaceutical Kosovo.For  the first  time in our  country we performed HbA1c  with HPLC.
The G8  Analyzer is the next generation of Tosoh’s leading HPLC testing systems for fast and accurate HbA1c results. The analyzer dilutes the whole blood specimen with Hemolysis & Wash Solution and then injects a small volume of the treated specimen onto the TSKgel Glyco HSi Variant Column. Separation is achieved by utilizing differences in ionic interactions between the cation exchange group on the column resin surface and the hemoglobin components in a step gradient elution. The hemoglobin fractions (designated as A1a, A1b, F, LA1c , SA1c, A0, and H-V0, H-V1, H-V2) are subsequently removed from the column material by performing a step-wise elution using Elution Buffers HSi Variant 1, 2, and 3 that have specific salt and pH concentrations.
The separated hemoglobin components pass through the LED photometer flow cell where changes in absorbance are measured at 415nm. The G8 software integrates and reduces the raw data, and then calculates the relative percentages of each hemoglobin fraction. The print-out consists of the numerical results and the chromatogram. This represents the changes in absorbance versus retention time for each peak fraction. An analysis requires only 1.6 minutes.The study was conducted on 150 patients, of which 80% were  diabet type ll, age 40-65 years, with HbA1c ranging from 6.9-11%, HbA from 6-8, HbF of over 1 % -8% (in 48% of cases was HbF positive), the control group were non-diabetic, suspect, dyslipidemia, patients with no signs of type II diabetes, the reason for testing being because they had high insulin resistance, or moderate , some of these patients were  with polycystic ovary syndrome. In addition to the absolute accuracy of the HPLC method in testing HbA1c, in this study we found HbF positive of patients with type II diabet, which is leading us to anemia, and the cause of this anemia is thought to be impairment of renal function, such as diabetic nephropathy - complication of type II diabet, but a still unclear mechanism between abnormal HbF congenital and type II diabet  will to remain uninvolved as we were not able to test all the patients for Hb electrophoresis.