Analyzer System Research Articles

Analysing an epidemic-economic model in the presence of novel corona virus infection: capital stabilization, media effect, and the role of vaccine.

The pandemic being a health issue at its core is a multifaceted crisis encompassing both economic and epidemic factors in a twisted tale of challenges. In counteraction, we have proposed a combined epidemic–economic model that analyses system dynamics arising in the presence of an infectious disease (SARS-2-COVID-19 in our case). Dynamical analysis of the system has been performed in context to the equilibria along with local and global stability analysis of the system simultaneously visualizing the effect on capital stabilization. The global stability analysis has been performed using graph-theoretic method. Curve-Fit has been performed for the system using optimization algorithm. The relation between all the parameters and variables involved in the model has been explored by calculating sensitivity indices which gives us the proportion that a relative change in a parameter brings to the relative change in a variable. Our findings reveal that (1) Vaccination instigates economic growth (with evidence of data obtained for 24 countries). (2) Complete vaccination leads to a considerable reduction in all infections (reduction up to 90%, as per current CDC study). (3) Excessive exposure to media can facilitate spike in infections. (4) Parameter sensitivity analysis can be of immense help in policy formation.

Optimization of early markers for the diagnosis of preeclampsia on the background of metabolic syndrome

Annotation. Preeclampsia remains a mysterious puzzle for clinicians and researchers who have been uncovering it for decades. The search for new modern diagnostic markers for the possibility of early prevention of this complication will facilitate the course of pregnancy and childbirth. Preeclampsia can affect 2-8% of all pregnancies. The study of angiogenic biomarkers to stratify the risk of disease is the aim of our study. Patients are divided into groups due to the severity of preeclampsia. Group I included 26 pregnant women with moderate preeclampsia, diastolic blood pressure was up to 90 m Hg, to group II – 20 pregnant women with moderate preeclampsia, the level of diastolic pressure was up to 99 m Hg. The third group included pregnant women in whom the physiological course of pregnancy without complications and concomitant extragenital pathology. Inhibin A levels were determined using a Beckmann Coulter analyzer and test system (Germany); ELISA Testkit, Access-Inhibin A Kit by Beckmann Coulter, the concentration of vitamin D in the serum of patients was determined using an analyzer and test system Immulite (Siemens AG, Germany). Statistical analysis of the obtained results was performed minus the mean value (M) and the standard error of the mean value (m). Qualitative indicators are presented in the form of %. Comparison of quantitative indicators with normal distribution was performed by Student’s t test (p<0.05), and with abnormal distribution in unrelated samples – using Mann-Whitney test (U test), comparison of relative values – using χ2 (chi) -square). A significant relationship (p=0.041) was found between inhibin A levels and the occurrence of preeclampsia. Vitamin D deficiency (24.5±1.01 ng/ml) was also found in women in the study groups. The level of placental growth factor in all women in the first trimester of pregnancy was 45.93±11.74 pg/ml, which corresponds to normal values. The mean level of insulin-like growth factor was reduced (120.87±4.12 ng/ml) compared with the control group (224.1±6.24 ng/ml). Thus, increased inhibin A, decreased IGF, and vitamin D deficiency may be a marker for a patient at risk for preeclampsia.

Socioeconomic Survey and Physicochemical Parameters of Chicken Eggs concerning the Breeding Systems in Cameroon

Physicochemical characteristics of eggs are still poorly controlled in poultry farming in the city of Ngaoundéré, Cameroon. The present study was thus conducted to characterize the rearing systems in modern poultry farming and to analyze the physicochemical characteristics of eggs from hens reared in deep litter, battery, and backyard systems from August to October 2020 in Ngaoundéré, Cameroon. To this end, 33 farms with approximately 61100 hens (Cobb500 broiler and layer) were surveyed. At the end of this survey, a sample of 180 eggs was collected, with 60 eggs per system for physicochemical analyses. Data included socio-economic and technical characteristics of modern farming systems as well as the physicochemical parameters of the eggs. The obtained results indicated that 90.9% of Cobb500 chicken owners were men. Of the total of the layer’s buildings, 73% were equipped with nests. The materials used for feeders were made of wood (54.4%), plastic (21.2%), or cement (6.1%). Moreover, 81.1% of the poultry farmers buy chicken feed on the market while the others prepare their own feed from various ingredients. Preventive and curative prophylactic measures were applied by all livestock farmers, yet 54. 5% were still victims of different diseases. The selling price of a 45-day-old broiler chicken was between 4 and 6 USD, while the price of a 30-egg tray varied between 3 and 4 USD, which contributed to 60-80% of family income for 54.5% of poultry farmers. The high feed cost as well as lack of finance, ingredients, and security were the main issues of poultry farming. Concerning the physicochemical characteristics of eggs, a significant increase in egg weight was noted among backyard (43.50 ± 3.15 g), battery (58.19 ± 4.02 g), and deep litter (63.51 ± 3.91 g) systems. The Haugh’s Unit of eggs in the backyard system (72.33 ± 4.42%) was significantly lower than deep litter (82.91 ± 6.76%) and battery systems (86.83 ± 11.42%). The proportions of eggshell and edible contents were similar in all production systems. Yolk lipid (17.63%) and yolk protein (7.11%) in dry matter contents of local breed eggs were higher than those of improved breed from both systems. The findings indicated that modern poultry farming in Ngaoundéré has been poorly developed and backyard eggs were richer in nutrients and consequently highly recommended to use.

Efficiency of the power-to-gas-to-liquid-to-power system based on green methanol

This article analyzes a system consisting of a renewable energy source, hydrogen generator, methanol generator, and Direct Methanol Fuel Cell. The overall system energy efficiency was derived based on the efficiencies of the hydrogen generator, methanol generator, and Direct Methanol Fuel Cell. Based on our research, the maximum efficiency of the hydrogen generator (Anion Exchange Membrane and Proton Exchange Membrane) was measured to be 83.7%, taking into account the own needs indicator. A methodology was developed to determine the efficiency of the methanol production installation depending on the thermodynamic parameters of the reactor. This method allows one to choose these parameters to ensure the maximum efficiency of the methanol generator ∼77% (7.2 MPa, 190 °C in reactor). Using the test stand presented in this work, the operating characteristics of the methanol-powered cell were evaluated to measure its maximum efficiency 23.4% (in relation to Higher Heating Value). By measuring these individual efficiencies, the efficiency range of the entire analyzed system was found to be less than 20%. This low efficiency was discussed, including a method for substantial improvement.

E.Co.Tech-electrochemical handheld breathalyzer COVID sensing technology

Breathomics is widely emerging as a strategy for non-invasive diagnosis of respiratory inflammation. In this study, we have evaluated the metabolic signals associated with Coronavirus (SARS COV-2), mainly the release of nitric oxide in breath. We have demonstrated the utility of a breath analyzer-based sensor platform for the detection of trace amounts of this target species. The sensor surface is modified with Room Temperature Ionic Liquid (RTIL) that allows faster diffusion of the target gas and can be used for gas sensing application. A low limit of detection (LOD) of 50 parts per billion has been achieved with a 95% confidence interval for detection of nitric oxide.. This inhouse designed sensor is incorporated into a breath analyzer system that displays enhanced sensitivity, specificity, linearity, and reproducibility for NO gas monitoring. The developed sensor platform can detect target concentrations of NO ranging from 50 to 250 ppb, using 1-Ethyl-3-methylimidazolium Tetrafluoroborate ([EMIM]BF4) as RTIL and displays fast response time of 5 s, thereby allowing easy detection of the target gas species. The sensor successfully quantifies the diffusion current and charge modulations arising within the electrical double layer from the RTIL–NO interactions through DC-based chronoamperometry (CA). The subjects tested negative and positive are significantly different (p < 0.01). The prototype can potentially be used for human health monitoring and screening, especially during the pandemic due to its portability, small size, an embedded RTIL sensing element, integrability with a low-power microelectronic device, and an IoT interface.

Comparison of three hematocrit measurement methods in the southern white rhinoceros (Ceratotherium simum simum).

BackgroundHematocrit (HCT) determination is an integral part of health and disease assessments in captive and wild white rhinoceroses. Several affordable automated hematology analyzers have been developed for in‐clinic and field use and have the advantage of being able to measure a large number of additional measurands. However, the accuracy of these analyzers for rhinoceros HCT measurements has not yet been investigated.ObjectivesWe aimed to compare the HCT results generated by the EPOC portable analyzer system and the Abaxis VetScan HM5 with the gold standard of a manual packed cell volume (PCV) measured using the microhematocrit method.MethodsHematocrits were measured with the EPOC and the Abaxis VetScan HM5 (bovine setting) and compared with the PCVs of 69 white rhinoceros whole blood samples. Results were compared using Bland–Altman difference plots and Passing‐Bablok regression analysis. A total allowable analytical error of 10% was set as the performance goal.ResultsA significant positive bias, with a mean of 7.7% for the EPOC and 17.9% for the Abaxis, was found compared with the manual PCV method.ConclusionsThe allowable error goal of 10% was not exceeded with the EPOC analyzer. Although not analytically equivalent to the gold standard, the EPOC results could therefore be used as approximations in critical situations where manual measurements cannot be performed. The Abaxis exceeded this allowable error and overestimated HCTs in rhinoceroses. Therefore, method‐specific reference intervals should be used.

A System of Local Analyzers for Noninvasive Diagnostics of the General State of the Tissue Microcirculation System of Human Skin

A System of Local Analyzers for Noninvasive Diagnostics of the General State of the Tissue Microcirculation System of Human Skin

Influence of Manual and Ultrasonic Scaling on Surface Roughness of Four Different Base Materials Used to Elevate Proximal Dentin–Cementum Gingival Margins: AnIn VitroStudy

To evaluate and compare the effects of both manual and ultrasonic scaling on surface roughness of four different base materials, used for elevating dentin/cementum gingival margins of proximal cavities. Eighty human upper molars with compound Class II mesial cavities, with gingival margins 1 mm below the cemento-enamel junction (CEJ), were divided into four different groups according to the type of the base material used; resin-modified glass ionomer (RMGI), glass hybrid (HV-GIC), flowable bulk-fill resin composite (Bulk Flow) and bioactive ionic resin (Activa). This was followed by completing the restorations with the same resin composite. All materials were used according to the manufacturers' instructions. All groups were further subdivided into two subgroups according to the scaling technique: manual (hand) or ultrasonic. All restorative and scaling procedures were performed after fixation of specimens with acrylic beside neighboring teeth to simulate natural contact. The mean surface roughness (Ra, μm) of all specimens was measured quantitatively and qualitatively by a three-dimensional (3D) surface analyzer system at two stages; (1) after thermal cycling for 5000 cycles without scaling and (2) after scaling. Data were statistically analyzed using analysis of variance (ANOVA), Tukey post hoc tests, and paired sample t-tests (at α=0.05). For baseline readings, the Bulk Flow group had the lowest Ra values, while HV-GIC group had the highest. RMGI and Activa groups had no statistical significant difference between their Ra values (p>0.05). For post scaling readings, hand scaling had significantly lower Ra values than ultrasonic scaling in all the material groups (p<0.05), except in the Bulk Flow group, where both scaling methods were not significantly different from each other (p>0.05). Bulk Flow had the smoothest surfaces when cured against a matrix band compared with the other tested base materials. When hand and ultrasonic scaling methods were compared, the latter technique had more detrimental effect on the surface texture of the four tested base materials.

Optimising microscopic spray characteristics and particle emissions in a dual-injection spark ignition (SI) engine by changing GDI injection pressure

Regarding reducing particle emissions from dual-injection spark ignition engines, most of the existing research focused on the benefits of using alcohol fuels. However, a comprehensive study of the effects of fuel injection pressure on microscopic spray characteristics and particle emissions in dual-injection spark ignition engines fuelled with gasoline has not been reported before. In this paper, with the assistance of phase Doppler particles analyser system and fast particle analyser, a study of optimising microscopic spray characteristics and particle emissions in a dual-injection spark ignition engine fuelled with gasoline by changing GDI injection pressure was conducted. The results show that by increasing injection pressure from 5.5 to 18 MPa, both normal and tangential components of droplet velocity increase, but the possibility of spray impingement would not increase a lot. Higher injection pressure would increase the probability of small droplets, and more droplets would collapse with a mode of continuous ripping or break down abruptly. From jet’s central axis to sides, Sauter mean diameter increases first, then reduces outside the spray boundary. Increasing injection pressure from 5.5 to 18 MPa reduces total particle number concentration, which is 53.98% and 45.44% at 2 bar and 10 bar, respectively. Meanwhile, the peak of particle number distribution curve decreases from 3.01 × 106 to 1.43 × 106 at 2 bar, whilst reducing from 1.08 × 106 to 5.33 × 105 at 10 bar. Overall, this paper comprehensively analyses the effects of fuel injection pressure on microscopic spray characteristics and particle emissions, whilst offering a practical approach to reduce particle emissions in dual-injection SI engines fuelled with gasoline.

English

The increasing presence of food and feed products derived from genetically modified organisms (GMO) has led to the development of detection methods that distinguish between foods derived from biotechnology and conventional foods. Many countries have implemented the Regulations for GM products labelling, therefore the need of establish reliable and accurate detection methods for GMO in raw materials and food products. The aim of the present study was to screen foods sold in the selected Mozambican markets for the presence of GMOs. Out of 47&nbsp;samples analysed, 22 (46%) were positive either for 35S promoter or t-NOS terminator. Results of the event-specific analysis indicated the presence of&nbsp;RRS, Mon863 and TC1507 in 8, 6 and 1 sample respectively. None of the positive samples had a GM label. This study demonstrates for the first time, as far as we know, the presence of GM food products circulating in Mozambican markets, therefore strengthening the need for establish of labelling system and quantitative methods in routine analyses, to ensure compliance with existing regulations. &nbsp; Key words: Genetically modified organisms, roundup ready soybean, P35S, food.

A comparison of capillary electrophoresis and next-generation sequencing in the detection of immunoglobulin heavy chain H and light chain κ gene rearrangements in the diagnosis of classic hodgkin’s lymphoma

ABSTRACT This study aimed to compare the application value of capillary electrophoresis and next-generation sequencing for immunoglobulin (IG) gene rearrangement in the diagnosis of classic Hodgkin’s lymphoma. Twenty paraffin-embedded specimens from patients with classic Hodgkin’s lymphoma were screened. For gene rearrangement detection, the ABI 3500 Genetic Analyzer and ABI Ion GeneStudio S5 Plus sequencing system were used, respectively, and the results were compared. Five cases with monoclonal rearrangements (25%, 5/20) were detected by Capillary Electrophoresis, and positivity for the FR1, FR2, FR3, and IGк loci was 5%, 10%, 10%, and 15%, respectively; 12 cases with monoclonal rearrangements (60%, 12/20) were detected by Next-generation Sequencing where the positivity of the above corresponding loci were 35%, 45%, 50%, and 30%, respectively. Among the 20 samples, 6 IGк clonal rearrangements were detected, and the usage frequency (66.7%) of IGкJ4 was the highest in the IGкJ subgroup. The usage frequency of IGкV1 and IGкV3 in the GкV sub-group was 33.3% and 33.3%, respectively. Twelve immunoglobulin heavy chain (IGH) clonal rearrangements were detected among the 20 samples, and the order of usage frequency in the IGH joining region J (IGHJ) subgroup was IGHJ4 > IGHJ5 > IGHJ6 > IGHJ3. The gene with the highest usage frequency in the IGH variable (IGHV) subgroup was IGHV3 (50%) and the percentage of IGHV mutations ranged from 0% ± 11.45% with an average frequency of 3.34%. Compared with Capillary Electrophoresis, Next-generation Sequencing showed a higher positivity in the detection of gene clonal rearrangements, was more accurate in the interpretation of results.

A bacterial three-hybrid assay for forward and reverse genetic analysis of RNA-protein interactions.

This protocol describes a bacterial three-hybrid (B3H) assay, an in vivo system that reports on RNA-protein interactions and can be implemented in both forward and reverse genetic experiments. The B3H assay connects the strength of an RNA-protein interaction inside of living Escherichia coli cells to the transcription of a reporter gene (here, lacZ). We present protocols to (1) insert RNA and protein sequences into appropriate vectors for B3H experiments, (2) detect putative RNA-protein interactions with both qualitative and quantitative readouts and (3) carry out forward genetic mutagenesis screens. The B3H assay builds on a well-established bacterial two-hybrid system for genetic analyses. As a result, protein-protein interactions can be assessed in tandem with RNA interactions with a bacterial two-hybrid assay to ensure that protein variants maintain their functionality. The B3H system is a powerful complement to traditional biochemical methods for dissecting RNA-protein interaction mechanisms: RNAs and proteins of interest do not need to be purified, and their interactions can be assessed under native conditions inside of a living bacterial cell. Once cloning has been completed, an assay can be completed in under a week and a screen in 1-2 weeks.

Dust Characteristics Observed by Unmanned Aerial Vehicle over the Taklimakan Desert

Based on observations from the Unmanned Aerial Vehicle (UAV) together with an environmental particulate matter analyzer (Grimm-180) and Global Positioning System (GPS) sounding balloons, the vertical structure of dust with different particle sizes was explored over the Taklimakan Desert (TD) during an intensive observation from 1 July 2021 to 31 July 2021. The power functions were fitted between the particle counts and particle sizes, indicating negative correlations with an R2 higher than 0.99 under different dust pollution conditions in Tazhong (TZ). The dust concentrations show a sharp vertical increase over the TD during dust pollution; however, more particles with larger sizes are entrained into the air in TZ compared with Minfeng (MF). The total solar radiation during dust pollution days is significantly weakened, accompanied by major modifications in the temperature stratification, which were characterized by low-level cooling (with −2.71 K mean intensity) and high-level heating (with +0.70 K mean intensity). On clear days, the average convective boundary layer (CBL) heights at the TZ and MF are approximately 3.94 and 2.84 km, respectively, and the average stable boundary layer (SBL) height at the TZ and MF are approximately 0.19 and 0.14 km, respectively. With the increasing dust pollution level, the CBL height decreases rapidly while the SBL height shows the opposite trend. The unique ultra-high atmospheric boundary layer structure in daytime provides beneficial conditions for the suspension and vertical transportation of dust over TD. Moreover, a negative correlation between the CBL height and near-surface PM10/PM2.5/PM1.0 concentration in TD is revealed by power function fittings.

Electro-Optical Properties in &lt;i&gt;β&lt;/i&gt;- Tl&lt;sub&gt;1-x&lt;/sub&gt;Cu&lt;sub&gt;x&lt;/sub&gt;InS&lt;sub&gt;2&lt;/sub&gt;(0≤X≤0,015) Crystals

The paper presents the results of experimental studies of the electro-optical properties ofβ-Tl1-xCuxInS2(0 X 0,015) single crystals. It was found that in measurements of the induced birefringence, the transmission of the polarizer - crystal - analyzer (P-C-A) system is nonzero both for the presence of an external electricE= 0 and in its absence, which is apparently associated with the presence of internal fields arising in crystals during their growth ().

ASSESSMENT OF SERUM PROLACTIN IN HYPOTHYROIDISM INFERTILE FEMALES, IN WHITENILESTATE, SUDAN

Background: Thyroid dysfunction is a public health problem in White Nile State in Sudan. It is majorly caused by iodine deficiency. Hyperprolactinemia, the clinical condition associated with infertilityis resulted from a number of causes. Objectives: This study aimed to assess the relationship between thyroid hormone and prolactin serum level in Sudanese hypothyroidism infertile females. Material and Method: One hundred Sudanese females with hypothyroidism were compared with eightys healthy control. Blood samples were collected after an overnight fasting. Serum TSH, T3, T4 were analyzed using fully automated immunoassay analyzer system (AIA)TOSOH BIOSCINCEAIA360. Prolactin is measured using i-CHROMATM. Results: Hypothyroidism patients showed increased prolactin levels. Prolactin is increased in 40% of hypothyroidism patients.Also, TSH levels were significantly positively correlated with prolactin levels. Conclusion:The serum prolactin levels were increased in hypothyroidism infertile patients.

Dynamic analysis of geared transmission system for wind turbines with mixed aleatory and epistemic uncertainties

This paper deals with the co-existence of mixed aleatory and epistemic uncertainties in a wind turbine geared system for more reliable and robust vibration analyses. To this end, the regression-based polynomial chaos expansion (PCE) is used to track aleatory uncertainties, and the polynomial surrogate approach (PSA) is developed to treat the epistemic uncertainties. This non-intrusive dual-layer framework shares the same collocation pool, which is extracted from the Legendre series. Moreover, the regression technique has been implemented in both layers to enhance calculation efficiency. Numerical validation is carried out to show the effectiveness of the proposed method. New vibration behaviors of the geared transmission system are observed, and the mechanism behind is discussed in detail. The findings of this paper will contribute to the insightful understanding of such wind turbine geared systems under hybrid uncertainties and are beneficial for the condition monitoring.

Deep Learning Prediction of Response to Anti-VEGF among Diabetic Macular Edema Patients: Treatment Response Analyzer System (TRAS).

Diabetic macular edema (DME) is the most common cause of visual impairment among patients with diabetes mellitus. Anti-vascular endothelial growth factors (Anti-VEGFs) are considered the first line in its management. The aim of this research has been to develop a deep learning (DL) model for predicting response to intravitreal anti-VEGF injections among DME patients. The research included treatment naive DME patients who were treated with anti-VEGF. Patient’s pre-treatment and post-treatment clinical and macular optical coherence tomography (OCT) were assessed by retina specialists, who annotated pre-treatment images for five prognostic features. Patients were also classified based on their response to treatment in their post-treatment OCT into either good responder, defined as a reduction of thickness by >25% or 50 µm by 3 months, or poor responder. A novel modified U-net DL model for image segmentation, and another DL EfficientNet-B3 model for response classification were developed and implemented for predicting response to anti-VEGF injections among patients with DME. Finally, the classification DL model was compared with different levels of ophthalmology residents and specialists regarding response classification accuracy. The segmentation deep learning model resulted in segmentation accuracy of 95.9%, with a specificity of 98.9%, and a sensitivity of 87.9%. The classification accuracy of classifying patients’ images into good and poor responders reached 75%. Upon comparing the model’s performance with practicing ophthalmology residents, ophthalmologists and retina specialists, the model’s accuracy is comparable to ophthalmologist’s accuracy. The developed DL models can segment and predict response to anti-VEGF treatment among DME patients with comparable accuracy to general ophthalmologists. Further training on a larger dataset is nonetheless needed to yield more accurate response predictions.

A photonic crystal material for the online detection of nonpolar hydrocarbon vapors.

A modern level of nanotechnology allows us to create conceptually new test systems for chemical analyses and to develop sensitive and compact sensors for various types of substances. However, at present, there are very few commercially available compact sensors for the determination of toxic and carcinogenic substances, such as organic solvents that are used in some construction materials. This article contains an overview of how 3D photonic crystals are used for the creation of a new test system for nonpolar organic solvents. The morphology and structural parameters of the photonic crystals, based upon a crystalline colloidal array with a sensing matrix of polydimethylsiloxane, have been determined by using scanning electron microscopy and by the results of specular reflectance spectroscopy based on the Bragg–Snell law. A new approach has been proposed for the application of this sensor in chemical analysis for the qualitative detection of saturated vapors of volatile organic compounds due to configuration changes of the photonic bandgap, recorded by diffuse reflectance spectroscopy. The exposure of the sensor to aromatic (benzene, toluene and p-xylene) and aliphatic (n-pentane, n-heptane, n-octane and n-decane) hydrocarbons has been analyzed. The reconstitution of spectral parameters of the sensor during the periodic detection of saturated vapors of toluene has been evaluated.

Nischarin Deletion Reduces Oxidative Metabolism and Overall ATP: A Study Using a Novel NISCHΔ5-6 Knockout Mouse Model

Nischarin (Nisch) is a cytosolic scaffolding protein that harbors tumor-suppressor-like characteristics. Previous studies have shown that Nisch functions as a scaffolding protein and regulates multiple biological activities. In the current study, we prepared a complete Nisch knockout model, for the first time, by deletion of exons 5 and 6. This knockout model was confirmed by Qrt–PCR and Western blotting with products from mouse embryonic fibroblast (MEF) cells. Embryos and adult mice of knockouts are significantly smaller than their wild-type counterparts. Deletion of Nisch enhanced cell migration, as demonstrated by wound type and transwell migration assays. Since the animals were small in size, we investigated Nisch’s effect on metabolism by conducting several assays using the Seahorse analyzer system. These data indicate that Nisch null cells have lower oxygen consumption rates, lower ATP production, and lower levels of proton leak. We examined the expression of 15 genes involved in lipid and fat metabolism, as well as cell growth, and noted a significant increase in expression for many genes in Nischarin null animals. In summary, our results show that Nischarin plays an important physiological role in metabolic homeostasis.

Frequency of Hypokalemia in Chronic Liver Disease

Background: Serum potassium concentration ranges widely in patients with Chronic liver disease (CLD). Both hypokalemia and hyperkalemia may occur, but usually normokalemia is observed. Early studies revealed a 40% prevalence of hypokalemia in cirrhotic patients, irrespective of the disease stage. Aim: To determine the frequency of hypokalemia in patients with chronic liver disease. Study design: Descriptive cross-sectional study. The study was conducted at Department of Medicine, CMH Kharian Medical College, Kharian over a period of six months. Methodology: Total 120 consecutive cases of CLD presenting with complications in the medicine ward were enrolled in the study. Ultrasonography, LFTs and other baseline investigations were done to evaluate for hepatic decompensation. Serum electrolytes (for hypokalemia) were done. Serum potassium levels were measured in 1ml of blood sample using electrolyte analyzer system. Data was analyzed using SPSS v23.0. Data was stratified for age, gender, BMI, duration of CLD, Child Pugh class and socio-economic status. Post stratification, Chi-Square test was used taking p-value ≤0.05 as significant. Results: Total 120 patients were selected for this study. Mean age of the patients was 47.1±13.7 years. Total 82(68.3%) were males and 38(31.7%) were females. 20 patients (16.7%) had hypokalemia. There was a statistical significance between hypokalemia and socio-economic status (p&lt;0.035). Conclusion: Hypokalemia plays a key role in hepatic encephalopathy which is a common phenomenon in cirrhosis of liver. Keywords: Chronic Liver Disease, Hypokalemia, Hepatic encephalopathy.