Experimental Plan Research Articles

Evaluation of mesoporous silica particles as a support for lipase immobilization in biodiesel production: Enhanced ethyl ester synthesis from algal oil

The utilization of novel materials in the biofuel production domain has been regarded as a significant advancement in catalyst development. Incorporating lipases in biodiesel manufacturing is often viewed as a cost-restrictive phase since the expenses associated with recovering these catalysts can render market expectations unfeasible. Within this investigation, mesoporous silica (MPS) particles were assessed as a supporting medium for immobilizing commercial lipase, subsequent to their utilization in ethyl ester synthesis. Initially, the production of mesoporous silica was achieved through the co-precipitation technique at a consistent pH and was subsequently chosen as an immobilization support for the enzyme. The characterization of the biocatalyst support materials produced was performed using various analytical methods including X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), and BET analysis. The Novozym 435 lipase was then immobilized within the matrices, followed by the transesterification process of algal oil derived from Nannochloropsis. The resulting biodiesel samples demonstrated compliance with commercial standards, exhibiting an ester conversion rate exceeding 94.8 %. Additionally, properties such as density (0.93 g cm−3) and viscosity (5.01 mm2 s−1) satisfied the specifications mandated by ASTM for biofuel application. Experimental planning techniques showed that increasing lipase loading and using temperatures between 38 and 48 °C resulted in higher conversion rates of ethyl esters. This confirms the effectiveness of the enzymatic catalyst in generating primary fatty acid esters, even with residual lipid feedstocks.

Corrosion resistance of powder metallurgy fabricated Cu–10Sn/SiC/mica hybrid composite

Abstract For the first time, bronze/SiC/mica hybrid composite has been manufactured using powder metallurgy method. Mixture – process variable design has been applied to design of experiments and optimization of the composite composition, as well as the production process variables (compaction pressure and sintering temperature) to attain superior corrosion resistance. This involved mixing different compositions of bronze, SiC, and mica powders, which were subsequently subjected to varied pressures and temperatures during the pressing and sintering stages, all in accordance with the experimental design plan. The microstructure, chemical composition, and elemental distribution of the samples were examined using scanning electron microscope equipped by energy dispersive X-ray analyzer, and an optical microscope. In order to study the corrosion resistance, potentiodynamic polarization test and electrochemical impedance spectroscopy were performed in 3.5 wt.% NaCl solution. The results revealed that co-incorporation of SiC and mica particles in Cu–10Sn bronze matrix increases the corrosion resistance, with a synergistic effect between these particles. The result of optimization process showed that the highest corrosion resistance could be achieved for the composite with the composition of Cu–10Sn/9.85SiC/0.67mica. This outcome was subsequently validated through experimental procedures.

MCTrans++: a 0-D model for centrifugal mirrors

The centrifugal mirror confinement scheme incorporates supersonic rotation of a plasma into a magnetic mirror device. This concept has been shown experimentally to drastically decrease parallel losses and increase plasma stability as compared with prior axisymmetric mirrors. MCTrans++ is a dimensionless (0-D) scoping tool which rapidly models experimental operating points in the Centrifugal Mirror Fusion Experiment (CMFX) at the University of Maryland. In the low-collisionality regime, parallel losses can be modelled analytically. A confining potential is set up that is partially ambipolar and partially centrifugal. Due to the stabilizing effects of flow shear, the perpendicular losses can be modelled as classical. Radiation losses such as bremsstrahlung and cyclotron emission are taken into account. A neutrals model is included, and, in some circumstances, charge-exchange losses are found to exceed all other loss mechanisms. We use the SUNDIALS ARKODE library to solve the underlying equations of this model; the resulting software is suitable for scanning large parameter spaces, and can also be used to model time-dependent phenomena such as a capacitive discharge. MCTrans++ has been used to verify results from prior centrifugal mirrors, create an experimental plan for CMFX and find configurations for future reactor-scale fusion devices.

Optimization of Turning Process Performance Characteristics during Machining of AISI 304 Material

Turning process variables significantly affect the turning process performance. In the present work, Taguchi technique was applied to optimize the turning process performance during machining of AISI 304 material under conventional cooling method. Turning process variables such as cutting speed, feed rate and depth of cut were considered for the study. Taguchi L9 orthogonal array (OA) experimental design plan was considered for carrying out the experiments. Cutting temperature, tool wear and surface roughness were considered as output responses. From the results, it was found that the Taguchi technique determined optimum process parameters significantly improved the turning performance. It is recommended that metal cutting industries could use these optimum cutting conditions to reduce the material waste and increase the productivity while machining of AISI 304 material.

Thermoviscosimetric characteristics of borosilicate glasses with regard to the promising area of low-melting compositions currently being developed for the removable small-scale melter designed by Mayak Production Association

Relevance. The need to obtain experimental data on dependence of thermoviscosimetric properties of the examined borosilicate glasses on temperature, in order to solve the problem of developing a low-melting composition of borosilicate glass for a small-scale melter designed by Mayak Production Association. Aim. To get the most complete characterization of the glasses under study using thermoviscometric measurements. Methods. Mathematical modelling, simplex-lattice design. Results and conclusions. One of the most effective methods of experiment planning, which allows, with a relatively small number of experiments, obtaining a mathematical model reflecting the dependence of the studied property of the mixture on the content of components in it, is the simplex experiment planning method. To simplify the solution of such a task, a group or groups of components are usually distinguished, in which the ratio of the mass fraction of the components does not change. In this article, three groups of components are taken – simulators of high-level radioactive waste, sodium and boron oxides, and glass frit. The authors have identified the most promising area, where the mass fraction of glass frit is from 67.5 to 75%, the mass fraction of sodium and boron is from 25 to 32.5% and the mass fraction of high-level waste components is from 0 to 20%. The paper presents the results of thermoviscometric measurements of 15 melts of low-melting borosilicate glasses of different compositions at temperatures ranging from 700 to 1,200°C. Using simplex-based mathematical models of experiment planning, domains of dependence of thermoviscosimetric characteristics of glass melts on their compositions were created. The authors identified the compositions of glass melts that are found within the viscosity limits determined as allowable for glass melt discharge during operation of the removable small-scale melter of Mayak Production Association design.

Ratio Type Estimator for Balanced Sampling Plan excluding Adjacent Units

The study variables are usually correlated with the auxiliary variables and therefore their correlation could easily be computed. In this paper, the correlation coefficient is used for the estimation procedure, and therefore, we proposed a Horvitz-Thompson ratio-type estimator using correlation coefficient for Balanced Sampling plan excluding Adjacent units (BSA plan). It has been illustrated theoretically and empirically that the proposed Horvitz-Thompson ratio-type estimator is more precise than the Horvitz-Thompson estimator based on BSA plan. The proposed estimator provides an opportunity to utilise the auxiliary information for the estimation of population mean for BSA plan and useful for many real-life experiments. International Journal of Statistical Sciences, Vol.24(1), March, 2024, pp 103-114

Modeling and optimization of production process of extruded protein textures in meat products technology

In the production of extruded protein textures, the method of multifaceted experimental planning was considered using the recurrence plan of the central composition. The work created a mathematical model of mass exchange in the extraction process layer to obtain the main factors of extraction kinetics (layer, solvent velocity, particles, and longitudinal mixing coefficient) to parameters (internal diffusion coefficients). Carasora protein concentrate was used as the object of the study. Carasora is a wonderful plant, which is used in various fields of production, as well as multifunctional food products in the form of fats, seeds, and proteins. Carasora provides not only rich protein, but also natural dietary fiber and healthy fatty acids, which makes carasora proteins useful for vegetarians and vegans. Because of these qualities, we plan to use pure extruded protein textures from carasora and have developed a mathematical model to find appropriate uses.

Methods of mathematical planning of the experiment and their use in the development of the composition of the ointment with essential oil thymus vulgaris l. For vaginal application

One of the most important pharmaceutical factors is excipients, their nature and quantity, which increase the pharmacological activity and safety of APIs by creating dosage forms that are optimal in composition, properties, and type, and/or by changing the chemical modification of the molecule responsible for the pharmacological effect of the active substance. Variability or variation in the number of excipients and the use of different excipients with the same intended functionality can complicate the release rate and bioavailability of drugs. The use of mathematical methods at the stage of the experiment planning reduces the total number of experiments and at the same time provides reliable results. Aim. To study the most used types of mathematical planning of the experiment, and select the most acceptable model for developing the optimal composition of a vaginal ointment with the thyme (Thymus vulgaris L.) essential oil. Results and discussions. To develop the optimal composition of the ointment, 10 bases containing various excipients (factor A) and 6 excipients as an emulsifier (factor B) were used. The concentration of the thyme essential oil was 5 % in all samples. The degree of thymol release in the in vitro study using the equilibrium dialysis method was chosen as the criterion for choosing the optimal composition. The selection of excipients for the development of a soft dosage form was carried out using the method of the a priori ranking since both bases and emulsifiers were selected as the most widely used in the pharmaceutical technology, with known characteristics, safety profile, application experience. Conclusions. The degree of influence of each factor has been determined, and the series of Duncan’s test have been constructed for each factor – by factor a: а3 > а5 > а4 > а6 > а2 > а8 > а7 > а10 > а9> а1, and by factor b: b2 > b3 > b5 > b4 > b6 > b1. Based on the mathematical planning of the experiment, an ointment base and an emulsifier for developing the composition of a vaginal gel with the thyme oil have been determine.

Adaptable SEC-SAXS data collection for higher quality structure analysis in solution.

The two major challenges in synchrotron size-exclusion chromatography coupled in-line with small-angle x-ray scattering (SEC-SAXS) experiments are the overlapping peaks in the elution profile and the fouling of radiation-damaged materials on the walls of the sample cell. In recent years, many post-experimental analyses techniques have been developed and applied to extract scattering profiles from these problematic SEC-SAXS data. Here, we present three modes of data collection at the BioSAXS Beamline 4-2 of the Stanford Synchrotron Radiation Lightsource (SSRL BL4-2). The first mode, the High-Resolution mode, enables SEC-SAXS data collection with excellent sample separation and virtually no additional peak broadening from the UHPLC UV detector to the x-ray position by taking advantage of the low system dispersion of the UHPLC. The small bed volume of the analytical SEC column minimizes sample dilution in the column and facilitates data collection at higher sample concentrations with excellent sample economy equal to or even less than that of the conventional equilibrium SAXS method. Radiation damage problems during SEC-SAXS data collection are evaded by additional cleaning of the sample cell after buffer data collection and avoidance of unnecessary exposures through the use of the x-ray shutter control options, allowing sample data collection with a clean sample cell. Therefore, accurate background subtraction can be performed at a level equivalent to the conventional equilibrium SAXS method without requiring baseline correction, thereby leading to more reliable downstream structural analysis and quicker access to new science. The two other data collection modes, the High-Throughput mode and the Co-Flow mode, add agility to the planning and execution of experiments to efficiently achieve the user's scientific objectives at the SSRL BL4-2.

Modeling and Optimization of Turning Hastelloy C-276 under Sustainable Machining Environments

Due to their numerous applications in the aerospace, chemical, and nuclear power industries, environmentally responsible superalloy machining is a major problem in the current production environment. Additionally, Ni-based superalloys are regarded as difficult to manufacture because of their great strength under hot and chemically reactive settings. Therefore, it is necessary to machine these materials using adequate cooling and lubricating solutions. Current study has been based on the optimisation and modelling of turning Hastelloy C-276 under dry, flood, and least lubrication system. A Taguchi L-9 arrangement was used as plan of experiment and modeling was enabled through ANOVA, regression analysis and Taguchi optimization. The results depicted optimal parameters for surface roughness and temperature at v2-f1-d1-CE3 and v1-f2-d1-CE3. Likewise, for CRC and shear angle the best combination was observed at v3-f3-d2-CE2. From ANOVA analysis, the benefaction of C.E, depth of cut and feed rate on S.R been listed as 46.70%, 40.44% and 10.66%. Likewise, for temperature cutting speed has benefaction of (53.09%), cooling environment (23.94%), depth of cut (6.10%) and feed rate 5.49% . In similar fashion, CRC and Shear angle were influenced by feed rate and cutting speed having contribution of 62.89% and 5.15% respectively. Furthermore, minimum standard error between the fitted and observed values for S.R., temperature, CRC, and shear angle were calculated as 0.0149, 7.66, 0.267, and 1.80 units. Finally, the marginal reduction of cutting temperature and surface roughness through utilization of MQL implies the sustainable machining conditions.

INVESTIGATION ON PREDICTING FAMILY PLANNING AND WOMEN’S AND CHILDREN’S HEALTH EFFECTS ON BANGLADESH BY CONDUCTING AGE STRUCTURE POPULATION MODEL

Bangladesh has a higher population density than most other nations in the world. This project aims to evaluate the effects of experimental family planning and maternal and child health. Bangladesh saw changes in the use of contraceptives, the continuation of contraception, fertility, and infant and child mortality between 2012 and 2022. The project's current goal is to guarantee improved family health. To satisfy the changing needs and priorities of families and to provide better health for all, this paper has proposed several novel initiatives, such as enhanced health and family planning services, and enhancing maternal and child health. The goal of this project is to improve the health of women and children through family planning using an age-structured population model. It also covers the graphical presentation of the data using programs like Matlab, Mathematica, Excel, and others.

Optimizing Preparation of Fish Scale Collagen Peptide/Sacha Inchi (Plukenetia volubilis L.) Seed Oil Nanoemulsion

AbstractThis study presents results of extracting hydrolyzed collagen peptide from fresh‐water fish scale and using it to prepare a nanoemulsion based on Sacha inchi (Plukenetia volubilis L.) seed oil and collagen peptide. The sacha inchi seed oil is extracted from the seeds of Sacha Inchi (abbreviated as sachi) plant and contains approximate 45 % triple omega 3–6‐9 (ω‐3, ω‐6, ω‐9) content. Pseudo‐ternary phase diagrams of three components: aqueous collagen solution, sachi seed oil, and surfactant/co‐surfactant (Smix) have been constructed. The parameters including the composition of Smix, sachi seed oil, and aqueous collagen solution have been selected to optimize the technology factors for the emulsion process. A quadratic regression equation was chosen, and experimental planning following the Box‐Behnken model using response surface methodology was used to optimize the preparation conditions for the nanoemulsion. The average droplet size of the emulsion systems is the object function for optimization. The Smix is a mixture of surfactant (Tween80) and propylene glycol (PG) with different ratios of Tween80/PG of 1/1, 2/1, 3/1, and 4/1, corresponding to the formation of four emulsion systems, code 1, 2, 3, 4, respectively. The optimal parameters for each emulsion system are different, however, the aqueous collagen solution contains a higher proportion in emulsions. Under the optimal conditions, the predicted values of the objective function of emulsions code 1–code 4 ranged from 95.62 to 185.14 nm, increasing together with the Tween80 ratio in Smix. The experiment values of the objective function of emulsions code 1–code 4 prepared under the optimal conditions are 104.22, 133.70, 159.27, and 207.87 nm, respectively. These values are close to the predicted values, suggesting that the suitability of the experiment and theory. Additionally, the stability of the nanoemulsion prepared under the optimal conditions is also evaluated. A stable nanoemulsion is potentially for loading nutraceuticals and vitamins for applications in personal health care and medicinal fields.

New Eldercare Robot with Path-Planning and Fall-Detection Capabilities

The rapid growth of the elderly population has led to an increased demand for effective and personalized eldercare solutions. In this paper, the design and development of an eldercare robot is presented. This robot is specifically tailored to meet the two specific challenges faced by the elderly. The first is the continuous indoor tracking of the elder, while the second is the fall detection. A comprehensive overview of the hardware and software components, as well as the control architecture of the robot is presented. The hardware design of the robot incorporates a range of features, including a perception system comprising a 2D Lidar, IMU, and camera for environment mapping, localization, and fall detection. The software stack of the robot is explained as consisting of layers for perception, mapping, and localization. The robot is tested experimentally to validate its path planning capability by using Hector SLAM and the RRT* technique. Experimental path planning has shown a positioning accuracy of 93.8% on average. Elderly fall detection is achieved by using the YOLOv7 algorithm at a percentage of 96%. Experimental results have been discussed and evaluated.

Modelling and optimisation of power consumption and productivity in milling of thin-walled parts

A high percentage of mechanical parts in the metalworking industry (automotive, medical, energetic sector, and etc.), refers to thin-walled structures with optimized shapes and dimension, which produce on high or semi batch production principle. Production processes management, in mentioned industry and production systems, requires the development of appropriate information technologies based automatic systems. Planning and control systems are based on computer-aided technologies. Basis of this system are mathematical-logical models commonly, which is quantitatively link between input process parameters and process performance indicators (output parameters). In this study, modelling of total power consumption and process productivity was performed. Total power consumption and the process productivity were modelled, as very important output indicators in efficient and sustainable production. The modelling is based on the experimental analysis of the machining process during machining of thin-walled parts made of C45E (AISI 1045) carbon steel. Modelling was performed using the least squares method, with the use of ANOVA statistical analysis for the purpose of defining the input factors significance. Depth of cut, milling width and feed per tooth were used as input cutting parameters. Input cutting parameters combined experimental analysed according to Taguchi experimental plan. Based on developed adequate and sufficiently accurate mathematical models, optimization procedure was performed. The goal of optimisation was to minimize the power consumption and maximise productivity.

Assessment and Optimization of the Insecticidal Properties of γ-Al2O3 Nanoparticles Derived from Mentha pulegium By-Products to Xylosandrus crassiusculus (Carob Beetle).

This study concentrates on assessing the insecticidal attributes of the γ-Al2O3 nanoparticles derived from the remnants of Mentha pulegium, which include essential oil, ethanolic extract, and plant waste. The synthesis of the γ-Al2O3 nanoparticles was executed using a direct sol-gel procedure, affirming the crystal structure according to extensive physicochemical analyses such as UV-Vis, XRD, FTIR, and SEM. Evaluation of the insecticidal activity in vitro was conducted against Xylosandrus crassiusculus, a pest that infests carob wood, utilizing strains from diverse forests in the Khenifra region, situated in the Moroccan Middle Atlas. The lethal doses 50 ranged from 40 mg/g to 68 mg/g, indicating moderate effectiveness compared to the commercial insecticide Permethrin. Optimization of the conditions for the efficiency of the γ-Al2O3 nanoparticles was determined using experimental plans, revealing that time, humidity, and temperature were influential factors in the lethal dose 50 of these nanomaterials. Moreover, this study encompasses the establishment of correlations using Principal Component Analysis (PCA) and Ascending Hierarchical Classification (AHC) among various geographic, biological, and physical data, amalgamating geographic altitude and γ-Al2O3 nanoparticle insecticide parameters, as well as the attributes of the mechanical tests conducted on the carob wood affected by insects. The correlations highlight the close connections between the effectiveness of the insecticide, mountain altitude, and the mechanical parameters that were examined. Ultimately, these nanoparticles demonstrate promising potential as alternative insecticides, thus opening up encouraging prospects for safeguarding against carob wood pests.

Research on the remote monitoring system for falls in the elderly based on the internet of things and six axis acceleration sensors

With the integration and collision of the Internet of Things, machine learning, Big data computing and other technologies, related applications of the Internet of Things also need to process a lot of real-time data streams. This article focuses on the research of remote monitoring of falls using the Internet of Things and six axis acceleration sensors, and explores the efficient application of Internet of Things technology in the system. The hardware design and related software development of remote monitoring of falls for the elderly are the key parts, and the overall framework, main modules, and specific implementation of the system are elaborated in detail. A complete remote monitoring system is designed by selecting a suitable six-axis acceleration sensor, collecting and analyzing the data. The continuous development of the Internet of Things and six axis acceleration sensor technology can provide real-time intelligent remote monitoring. Compared to cloud computing platforms, edge clusters have limited computing and storage resources and diverse types of computing node architectures. Therefore, it is necessary to use lightweight application service deployment methods to build an efficient and autonomous data processing platform. Through research and innovation on the remote monitoring system for elderly falls, with optimized and comprehensive technology and detailed research support, the overall system design was experimentally debugged and the experimental plan was ultimately determined. Through data communication module, fall detection and diagnosis module, and database management module, rapid analysis of remote acceleration data and information exchange are achieved, thereby minimizing the possibility of accidents caused by falls in the elderly.

Organizing activities for students of chemistry pedagogy to research according to the CDIO approach in Vietnam

A comprehensive educational framework is provided by the Conceive-Design-Implement-Operate (CDIO) which is particularly relevant to engineering and applied sciences. This paper investigates the application of the CDIO approach in the field of chemistry pedagogy in Vietnam focusing on its adaptability to the current educational demands and its potential to enhance the competency of future teachers. The CDIO approach develops training curricula and output standards based on input from teachers, students, alumni and recruitment firms. This study uses the CDIO approach extensively with professional knowledge, social awareness and creative tendencies. The study involved a survey of 240 chemistry teachers and 242 students from various universities across Vietnam. Data were collected through online surveys using Google Forms and processed using SPSS software for statistical analysis. The research analyzed the alignment of practical teaching activities with CDIO standards and developed a framework for experimental practice competency. Findings indicated a robust implementation of the CDIO approach in chemistry pedagogy. In laboratory safety, experimental planning, execution and competence were high. The study shows that the CDIO strategy enhances professional competence and practical abilities in Vietnamese chemistry pedagogy students. It promotes collaboration and personal growth to meet changing educational needs. The CDIO approach could transform chemistry pedagogy in Vietnam suggesting science education reforms and capacity building.

STUDY OF THE PROCESS OF EXTRACTION OF ISOSALIPURPOSIDE FROM THE FLOWERS OF HELICHRYSUM MARACANDICUM (HELICHRYSUM MARACANDICUM POPOV EX KIRP.)

The purpose of this research is to study the process of extraction of isosalipurposide, and on the basis of the data obtained, the development of an optimal technology for obtaining a dry extract from the flowers of Helichrysum maracandicum (Helichrysum maracandicum Popov ex Kirp.).
 In the studies, the circulation extraction method, which is widely used in local pharmaceutical enterprises, was used. Based on the characteristics of the technology for obtaining a dry extract, a four-factor experimental plan based on a 5x5 Greek-Latin square was used to study the extraction process of the target BAS. Four quantitative factors were chosen as variables: the degree of grinding of the raw material (factor A), the concentration of ethyl alcohol (factor B), the hydromodulus (factor C) and the soaking time of the raw material (factor D). The output parameter was the percentage of the sum of flavonoids in terms of isosalipurposide in the resulting product.
 The results of dispersion analysis showed that the most complete yield of isosalipurposide was observed with the following indicators of variable factors: raw material grinding – 5–7 mm, extractant – 50% ethyl alcohol, hydromodulus 1 : 5, raw material soaking time – 9 hours. The expediency of using a short-term (10 min) ultrasonic treatment, which allows to increase the yield of the target BAS by 1.12 times, has been proved. The developed technology for obtaining a dry extract has been tested in industrial conditions. The resulting extract of Helichrysum maracandicum flowers in terms of quality met the requirements of pharmacopoeial articles: "Extracts" (SP XIV, GPM.1.4.1.21), "Extracts" (European Pharmacopoeia, 9th edition).
 Dry extract of Helichrysum maracandicum is recommended for use as a substance for the production of medicines and dietary supplements.

Graph-theoretical prediction of biological modules in quaternary structures of large protein complexes.

The functional complexity of biochemical processes is strongly related to the interplay of proteins and their assembly into protein complexes. In recent years, the discovery and characterization of protein complexes have substantially progressed through advances in cryo-electron microscopy, proteomics, and computational structure prediction. This development results in a strong need for computational approaches to analyse the data of large protein complexes for structural and functional characterization. Here, we aim to provide a suitable approach, which processes the growing number of large protein complexes, to obtain biologically meaningful information on the hierarchical organization of the structures of protein complexes. We modelled the quaternary structure of protein complexes as undirected, labelled graphs called complex graphs. In complex graphs, the vertices represent protein chains and the edges spatial chain-chain contacts. We hypothesized that clusters based on the complex graph correspond to functional biological modules. To compute the clusters, we applied the Leiden clustering algorithm. To evaluate our approach, we chose the human respiratory complex I, which has been extensively investigated and exhibits a known biological module structure experimentally validated. Additionally, we characterized a eukaryotic group II chaperonin TRiC/CCT and the head of the bacteriophage Φ29. The analysis of the protein complexes correlated with experimental findings and indicated known functional, biological modules. Using our approach enables not only to predict functional biological modules in large protein complexes with characteristic features but also to investigate the flexibility of specific regions and coformational changes. The predicted modules can aid in the planning and analysis of experiments. Jupyter notebooks to reproduce the examples are available on our public GitHub repository: https://github.com/MolBIFFM/PTGLtools/tree/main/PTGLmodulePrediction.

Evaluations of the in vivo Laxative Effects of Aqueous Leaf and Stem Extracts of Artemisia Abyssinica in Mice.

People frequently complain of long-term constipation. The cost associated with using modern medications to treat constipation is significant, and the probability of encountering side effects is notably high. These limitations restrict their effectiveness in therapy, remain unresolved, and underscore the need for research on alternative therapeutic approaches. Plants of the genus Artemisia have been used to treat constipation. Therefore, the aim of this study was to evaluate the laxative effects of aqueous A. abyssinica leaf and stem extracts of Artemisia abyssinica in mice. The laxative activity of A. abyssinica leaf and stem extracts was evaluated using three models: laxative activity, gastrointestinal motility, and gastrointestinal secretion. In this study, bisacodyl was used as a standard laxative and loperamide was used to induce constipation. In the laxative test, 200 (P<0.05) and 400 mg/kg (p<0.01) doses of plant extract significantly increased the percentage of fecal water content. Moreover, the highest dose of extract increased the frequency of defecation after 12 h (p<0.05). In the remaining two models, the experimental plans also showed significantly higher gastrointestinal motility and noticeable accumulation of intestinal fluid. The results of this study indicate that aqueous leaf and stem extracts of A. abyssinica have laxative effects.