Laboratory Model Research Articles

Establishment of a 3D-Printed Tissue-on-a-Chip Model for Live Imaging of Bacterial Infections.

Despite advances in healthcare, bacterial pathogens remain a severe global health threat, exacerbated by rising antibiotic resistance. Lower respiratory tract infections, with their high death toll, are of particular concern. Accurately replicating host-pathogen interactions in laboratory models is crucial for understanding these diseases and evaluating new therapies. In this communication, we briefly present existing in vivo models for cystic fibrosis and their limitations in replicating human respiratory infections. We then present a novel, 3D-printed, cytocompatible microfluidic lung-on-a-chip device, designed to simulate the human lung environment, and with possible use in recapitulating general infectious diseases.Our device enables the colonisation of fully differentiated lung epithelia at an air-liquid interface with Pseudomonas aeruginosa, a key pathogen in many severe infections. By incorporating dynamic flow, we replicate the clearance of bacterial toxins and planktonic cells, simulating both acute and chronic infections. This platform supports real-time monitoring of therapeutic interventions, mimics repeated drug administrations as in clinical settings, and facilitates the analysis of colony-forming units and cytokine secretion over time. Our findings indicate that this lung-on-a-chip device has significant potential for advancing infectious disease research, in optimizing treatment strategies against infections and in developing novel treatments.

Prostaglandin D2 delays CD8+ T-cell responses and respiratory syncytial virus clearance in geriatric cotton rats.

Respiratory syncytial virus (RSV) infection is associated with increased rates of severe disease, hospitalization, and death in elderly individuals. Clearance of RSV is frequently delayed within this demographic, contributing to the more severe disease course. Geriatric cotton rats mimic this prolonged clearance kinetic and serve as a useful animal model for studying age-associated immunological deficits during RSV infection. Treatment with the cyclooxygenase (COX) inhibitor ibuprofen restores RSV clearance, indicating that inflammation contributes to impaired clearance in geriatric cotton rats. Here, we further characterize a compromised immune response in geriatric cotton rats and identify an inflammatory pathway that contributes to this deficiency. Dendritic cell (DC) activation and migration to mediastinal lymph nodes are decreased during early infection in geriatric cotton rats, resulting in delayed generation of cytotoxic T cells and virus clearance. Prostaglandin D2 (PGD2), which reduces DC migration through the elevation of D-type prostanoid 1 receptor (DP1 receptor), is elevated in the airways of infected geriatric cotton rats. Reducing PGD2 production by inhibiting COX-2 or PGD2 synthase improves RSV clearance kinetics through DC activation and RSV-specific CD8+ T-cell responses in geriatric cotton rats, whereas activation of DP1 receptor through an agonist resulted in delayed viral clearance in adult cotton rats. These results indicate that PGD2 contributes to delayed antigen presentation and CD8+ T-cell responses to RSV in geriatric cotton rats. Inhibiting PGD2 generation or signaling may be a useful mechanism of therapeutic intervention in elderly individuals.IMPORTANCEElderly adults are at increased risk of severe disease resulting from infection with respiratory syncytial virus (RSV), characterized in part by delayed clearance (removal of the virus from airways). Understanding the immunological factors that lead to this delayed clearance may allow for the development of therapies to improve disease outcomes in elderly individuals infected with RSV and other respiratory viruses. Here, we describe an inflammatory pathway in geriatric cotton rats, the preferred small animal laboratory model for RSV, that impairs the generation of an effective immune response. We show that inhibiting this inflammatory pathway in geriatric cotton rats improves immune parameters and speeds clearance of RSV. These results contribute to our understanding of delayed RSV clearance in elderly individuals with possible applications for improving immune responses to RSV in clinical settings.

Effect of complex cyclic stress path dependency on cumulative plastic strain for frozen soil: laboratory simulation and model prediction

Effect of complex cyclic stress path dependency on cumulative plastic strain for frozen soil: laboratory simulation and model prediction

Monitoring SARS-CoV-2 variants with complementary surveillance systems: risk evaluation of the Omicron JN.1 variant in France, August 2023 to January 2024.

BackgroundEarly detection and characterisation of SARS-CoV-2 variants have been and continue to be essential for assessing their public health impact. In August 2023, Santé publique France implemented enhanced surveillance for BA.2.86 and sub-lineage JN.1 because of their genetic divergence from other variants and increased prevalence.AimTo detail how combining epidemiological and laboratory data sources, targeted investigations and modelling enabled comprehensive characterisation of sub-lineage JN.1.MethodsData were collected from epidemiological investigations using a standardised questionnaire and from routine and novel (RELAB network) surveillance systems. JN.1 cases were compared with cases infected with previously circulating variants, such as EG.5, BA.4/BA.5 and other BA.2.86 sub-lineages. The growth rate and doubling time of JN.1 were estimated.ResultsJN.1 was first detected in September 2023 in the Île-de-France region, France, and spread widely across the country. By late November, doubling time was estimated to be 8.6 to 26.4 days depending on the region. For all data sources, cases infected by JN.1 showed similar demographics, rates of hospitalisation and RT-PCR cycle threshold values compared with those infected by previous variants. JN.1 cases also had older median age (54 years; 40-71 vs 47 years; 30-59), more frequent reports of feverish feeling and less frequent cough or nausea compared with BA.4/BA.5 cases. JN.1 cases had significantly higher frequency of anosmia compared with other BA.2.86 cases.ConclusionCombining different data sources played a key role in detecting emerging variant JN.1, for which no evidence of increased public health impact was found despite its genetic divergence.

Laboratory model for barotropic vortices drifting towards a planetary pole

Laboratory model for barotropic vortices drifting towards a planetary pole

Association of cardiovascular disease risk with liver steatosis and fibrosis in people with HIV in low- and middle-income countries.

The aim of this study was to understand the relationship between cardiovascular disease (CVD) risk and liver steatosis and fibrosis among people with HIV (PLWH) at least 40 years of age on antiretroviral therapy (ART) in low and middle-income countries (LMIC). We used cross-sectional behavioral and clinical data collected during study enrollment visits in 2020-2022 for the Sentinel Research Network of International epidemiology Databases to Evaluate AIDS (SRN of IeDEA). Ten-year CVD risk was calculated using 2019 WHO nonlaboratory and laboratory models. Transient elastography was used to assess liver disease. Presence of steatosis and significant fibrosis were defined by controlled attenuation parameter (CAP) at least 248 dB/m and liver stiffness measurement (LSM) at least 7.1 kPa, respectively. Participants with viral hepatitis, hazardous alcohol consumption, and unsuppressed HIV viral load were excluded from the analysis. Logistic regression was used to estimate odds ratios, adjusting for study site, CD4 + T cell count, stavudine and didanosine exposure, and in models stratified by sex and geographic region. There were 1750 participants from nine LMIC. Median CVD risk was 3% for both nonlaboratory and laboratory-based models. Adjusted odds ratios (ORs) for steatosis and significant fibrosis associated with laboratory CVD risk (≥10 vs. <5%) were OR = 1.83 [95% confidence interval (95% CI) = 1.21-2.76; P = 0.004] and OR = 1.62 (95% CI = 0.85-3.07; P = 0.14), respectively. Associations of CVD risk with steatosis were stronger in men and among participants at study sites outside Africa. Higher CVD risk was associated with steatosis but not with significant fibrosis in PWH in our LMIC cohort.

Covariation Between Microbiome Composition and Host Transcriptome in the Gut of Wild Drosophila melanogaster: A Re-Analysis.

Gut microbiota are fundamental for healthy animal function, but the evidence that host function can be predicted from microbiota taxonomy remains equivocal, and natural populations remain understudied compared to laboratory animals. Paired analyses of covariation in microbiota and host parameters are powerful approaches to characterise host-microbiome relationships mechanistically, especially in wild populations of animals that are also lab models, enabling insight into the ecological basis of host function at molecular and cellular levels. The fruitfly Drosophila melanogaster is a preeminent model organism, amenable to field investigation by 'omic analyses. Previous work in wild male D. melanogaster guts analysed paired measurements of (A) bacterial diversity and abundance, measured by 16S amplicon sequencing; and (B) the host gut transcriptome, but no signature of covariation was detected. Here, we re-analyse those data comprehensively. We find orthogonal axes of microbial genera, which correspond to differential expression of host genes. The differentially expressed gene sets were enriched in functions including protein translation, mitochondrial respiration, immunity and reproduction. Each gene set had a distinct functional signature, suggesting that wild flies exhibit a range of distinct axes of functional variation, which correspond to orthogonal axes of microbiome variation. These findings lay a foundation to better connect ecology and functional genetics of a leading host-microbiome model.

Establishment of a diagnostic model for urinary calculi in pregnant women: A retrospective cohort study.

The diagnosis of symptomatic urinary stones during pregnancy is challenging; ultrasonography has a low specificity and sensitivity for diagnosing urinary stones. This study aimed to develop a clinical diagnostic model to assist clinicians in distinguishing symptomatic urinary stones in pregnant women. In this retrospective cohort study, we consecutively collected clinical data from pregnant women who presented with acute abdominal, lumbar, and lumbar and abdominal pain at the emergency department of our hospital between January 1, 2017, and December 31, 2019. To distinguish patients with urinary calculi from those without, we reviewed the follow-up records within 2 weeks post-consultation, ultrasonography results within 2 weeks, or self-reports of stone passage within 2 weeks. We selected risk factors from the baseline clinical and laboratory data of patients to establish a diagnostic model. Of the total patients included in the study, 105 patients were diagnosed as having symptomatic urinary stones and 126 were determined to have abdominal pain for reasons other than urinary stones. The initial model had an area under the curve (AUC) of 0.9966. The No-Lab Model had an AUC of 0.9856. The Lab Model had an AUC of 0.832. The Stone Model had an AUC of 0.9952. The simplified Stone Model did not show a decrease in discriminative ability. Of the four diagnostic models that we established for preliminary diagnosis of symptomatic urinary tract stones in pregnant women, the simplified Stone Model demonstrated excellent performance. Users can scan quick response codes to access web-based diagnostic model interfaces, facilitating easy clinical operation.

Anti-seepage reinforcement property and pollution control effect of bio-cemented fracture zone in electrolytic manganese residue dump

The heavy metal (HM) pollutants in electrolytic manganese residue (EMR) can easily diffuse through the seepage channel of the dump under the leaching action of rainfall. Particularly, the fracture zone, as one of the widely distributed seepage channels in the manganese residue dump (MRD), poses a greater threat to the ecological environment due to its weak mechanical properties, strong ductility, and numerous fractures. In this study, the microbially induced calcium carbonate precipitation (MICP) method was used for anti-seepage reinforcement of the fracture zone in an MRD to be constructed. The optimal conditions for the anti-seepage reinforcement of the fracture zone using the MICP method were proposed, and the control effect of the bio-cemented fracture zone on the major HM pollutant in the leachate of EMR was illustrated. Results showed that after grouting at a rate of 3 mL/min for 12 cycles with a grouting slurry of high urease activity (9 mM urea/min) and high cementation solution concentration (1.5 mol/L), the permeability coefficient of the fracture zone decreased from 10−4 to 10−5, and the unconfined compressive strength was approximately 5.58 times that of uncemented. Furthermore, the cubic calcite crystal clusters with high purity, good stability, dense arrangement, and high cementation properties were generated using the optimal conditions, and the pores were transformed from long columnar to spherical pores. Additionally, the Mn2+ concentration in the effluent from the fracture zone at the stabilization stage was only 663 mg/L, significantly lower than that of the leachate of EMR, and the risk of leaching changed from very high risk to low risk. The research outcomes can provide guidance and reference for laboratory model testing and in-situ testing of bio-cemented fracture zone, and it is expected to provide the theoretical and technological support for green and economic anti-seepage reinforcement of the fracture zone.

Prefabricated vertical drain alleviating clogging mechanism of soft ground by air-boosted vacuum preloading method

The prefabricated vertical drain (PVD) alleviating clogging mechanism under different air injection pressure and time is not clear for air-boosted vacuum preloading. The computational fluid dynamic-discrete element method (CFD-DEM) is developed to dynamically observe PVD clogging and investigate the PVD clogging mechanism. i.e., PVD discharge rate, soil particle migration, and porosity change under the different air injection patterns of vacuum preloading with no air injection, constant air injection pressure of 75 kPa, and variable air injection pressure of 25∼150 kPa. Compared with conventional vacuum preloading with no air injection, the water discharge rate of PVD can be increased, clogging layer area can be reduced significantly for air-boosted vacuum preloading. The porosity near the air injection port is greater than that close to the PVD. The consolidation mechanism of air-boosted vacuum preloading the disturbance effect in the early stage of consolidation, the pressurization effect in the middle stage of consolidation, and the clogging effect in the later stage of consolidation are revealed. Three kinds of laboratory model tests are run to demonstrate air injection alleviating PVD clogging. The results demonstrate that increasing the air injection pressure can significantly alleviate PVD clogging.

MULTILEVEL INVERTER TO GENERATE VOLTAGE WITH COMPLEX HARMONIC COMPOSITION

The paper deals with the problem of forming the desired and controllable harmonic composition of the output curve of a multilevel voltage inverter. The problem is relevant when creating installations for multi-frequency induction heating and metal melting. The purpose of the study is to develop an effective method to form the output voltage of power sources for multi-frequency induction heating installations, the curve of which has a given harmonic spectrum. Materials and methods. The theoretical part of the work was carried out on the basis of the circuit base of multi-level voltage inverters and switching DC converters using numerical analytical methods of studying nonlinear electrical circuits, methods of solving nonlinear differential equations and approximate harmonic analysis, as well as simulation modeling methods using the MATLAB/Simulink mathematical package. Experimental verification of the theoretical results was carried out in laboratory conditions on the example of a multi-level inverter generating a voltage curve with three operating harmonics. ACS758 series sensors and a four-channel RIGOL DS1104Z digital oscilloscope were used to record the results. Research results. Achieving of the purpose is based on the use of a universal multilevel voltage inverter, the circuit scheme of which does not depend on the levels number of the generated curve, which ensures a minimum number of power elements for any complexity of the curve spectrum. The method of forming of the output curve of this inverter consists in alternately connecting of the output capacitors of two direct voltage impulse converters to the input of a single-phase bridge voltage inverter using a transistor switch. In this case, voltages of different parity levels are formed by capacitors in the order of their succession, as a result of which a constant-sign multilevel voltage is formed on the input of the bridge inverter, corresponding to the required alternating-sign multilevel voltage. The law of the transistor switching of the bridge inverter ensures the conversion of its input voltage into a load voltage with a given harmonic composition. The peculiarity of the developed converter control method is that the transistor switching of the bridge inverter is carried out in accordance with the change in the sign of the generated curve. The method contains an algorithm to determine levels values formed by capacitors of impulse converters that realizes the required spectrum of the inverter output curve. The efficiency of the proposed method is illustrated by computer modeling of the converter when voltage with four working harmonics of the spectrum (i.e. the required spectrum harmonics) is generated. The quality indicators of the realized spectrum of the voltage curve are proposed and the analysis results of the influence of the levels number on values of these indicators are presented. The efficiency of the proposed methods is demonstrated experimentally with a laboratory model of the converter. Conclusions. The paper proposes a method to form the output voltage of a power source, the curve of which has a given harmonic, the efficiency of which is confirmed by the results of computer modeling and laboratory experiments. The proposed technical solutions made it possible to generate an output voltage, the spectrum of the curve of which contains four or more harmonics with specified amplitudes with a minimum number of power elements of the circuit. The paper also proposes models of quality indicators of the realized spectrum of the voltage curve and presents the results of the analysis of the influence of the number of levels on the values of these indicators. The developed methodology allows the development in the direction of controlling the spectrum of the generated voltage in real time, as well as non-periodic alternating voltage that changes according to a given program in accordance with the requirements of the technological process.

Effect of Temperature on Kerogen Transformation and Hydrocarbon Generation in Bazhenov Formation (Western Siberia, Russia) Rocks During Hydrous Pyrolysis

The aim of this investigation is to determine the role of temperature in hydrocarbon generation in Bazhenov formation source rocks, as hydrothermal processes in situ are supposed to be the main contributor to kerogen transformation in Western Siberia. Laboratory modeling of organic matter isothermal transformation in powdered and extracted samples by hydrous pyrolysis at 300 °C, 325 °C, 350 °C, 375 °C, and 400 °C for 24 h was performed. Heated samples were analyzed via pyrolysis, and hydrocarbons were investigated by GC and GC-MS. Results show that more than 90% of the kerogen generation potential was utilized. The amounts of liquid and gaseous products reached 82 and 126 mg of hydrocarbon/g TOC, respectively. The volume of generated gas increased while the maximum production of liquid decreased with temperatures over 350 °C. The biomarker composition of liquid products at different temperatures was similar. The characteristics of kerogen and the product composition had a high correlation with the parameters for samples naturally formed in situ under an elevated heat flow. More subtle chemical analyses are required to determine the effects of kerogen’s chemical structure and the rock mineral composition on oil and gas generation.

Study of the internal environment quality monitoring system for a laboratory model of a mining separator at key sensitive points of operation and process control using artificial intelligence

Modeling the quality of the indoor environment in buildings using neural networks, as an element supporting automatic process control, has become extremely popular nowadays. By analogy, attempts are being made to use the experience gained in construction and implement it in industry. The publication proposes a method of modeling feedforward neural networks, thanks to which it is possible to obtain the most efficient network with one hidden layer in terms of the given quality criterion. This network was implemented in the control system of the mining separator operation as part of pilot studies. The research included testing a laboratory model of the separator placed in a sea container modified for the separator function, in which modern automation technologies and monitoring of environmental parameters were integrated. Among others, time, outside temperature, set temperature, temperature error and controller output were measured. The measurements were taken at the points of installation of devices sensitive to the working environment - controllers, I/O modules, X-ray (XRT-DE) and optical analysis (VIS-NIR), enabling precise examination of the composition and quality of mineral resources. The internal environmental conditions in the housings of the above-mentioned sensitive elements and in the server room were the basis for the analysis. The aim was to develop a performance model enabling effective improvement of the working environment of all electrical and mechanical devices affecting energy efficiency and the internal environment. Separators operate in a very diverse environment, such as: tropical forests, Canadian Tundra, or desert areas in Africa, as well as EU countries, the USA and Australia. These devices are used in both open pit and underground mines. The use of modern technologies and mobile solutions in the mining industry contributes to increased efficiency, operational safety and, consequently, minimizing the negative impact on the environment. The research results confirmed that precise monitoring and control to ensure environmental conditions at selected separator points is crucial to ensuring the continuity and quality of the separation process.

Classical and Modern Models for Biofilm Studies: A Comprehensive Review

Biofilms are structured microbial communities that adhere to various abiotic and biotic surfaces, where organisms are encased in an exo-polysaccharide matrix. Organisms within biofilms use various mechanisms that help them resist external challenges, such as antibiotics, rendering them more resistant to drugs. Therefore, researchers have attempted to develop suitable laboratory models to study the physical features of biofilms, their resistance mechanisms against antimicrobial agents, and their gene and protein expression profiles. However, current laboratory models suffer from various limitations. In this comprehensive review, we have summarized the various designs that have been used for laboratory biofilm models, presenting their strengths and limitations. Additionally, we have provided insight into improving these models to more closely simulate real-life scenarios, using newly developed techniques in additive manufacturing, synthetic biology, and bioengineering.

Research of the technology of developing sensitive elements of rocket engine system pressure sensors

A pressure sensor with a piezoelectric sensing element was developed for the information and measurement system of the technical condition of a rocket engine. The main technical characteristics of piezoelectric elements of laboratory specimens were obtained theoretically and experimentally. To analyze the microstructure of the piezoelectric element material, slices were made, and when analyzing photos of the cuts, it was found that the piezoelectric material has dense structure and the pores are small, evenly distributed over the volume. A laboratory model of technological equipment for plasma modification of charge based on lead and lead-free components was developed and tested.

MATHEMATICAL MODELING AND ANALYSIS OF DYNAMIC CHARACTERISTICS OF A BRUSHLESS MOTOR IN AUTOMATED CONTROL SYSTEMS

The article provides a detailed analysis of brushless motors (BM) within the context of automated control, focusing on dynamic modes and mathematical modeling of the electric drive. It addresses the dynamic characteristics, transfer function development, and specific operational aspects of BM in systems with regulated rotational speed. The article presents experimental data and computer simulation results that validate the effectiveness of the selected models. Experimental studies conducted on a laboratory model confirm the accuracy of the developed mathematical model, particularly demonstrating the feasibility of approximating the motor's transfer function in a linear form to simplify control system analysis and tuning. Computer simulations are conducted in MATLAB using SIMULINK, which enables precise and illustrative visualization of transient processes in the BM. The article also introduces a subordinate control principle within a closed-loop control system, which ensures control stability and accuracy by dividing into speed and current loops. The simulation results demonstrate the potential of utilizing the developed models for further research and the design of efficient and reliable control systems for brushless motors in industrial settings. The proposed modeling approach paves the way for the creation of energy-efficient electric drives with high-precision control.

Critical Analysis of Laboratory Biomarker Discovery: Bridging Biomedical Research with Clinical Diagnostics for Early Disease Detection

Biomarkers are well-defined molecular targets that are essential for the early diagnosis of diseases, as well as for prompting appropriate treatments and assessing the disease states. Using biomarkers identified in laboratory models with clinical diagnostic tools has successfully enhanced the health delivery system. This paper will revisit the progress made in biomarker discovery about research methodologies, current challenges, and development in light of emerging trends in using biomarkers in biomedical research and clinical practice. Based on a literature review of current publications and methodological approaches supplemented by analysis of case studies in this work, the main issue of the slow transition from the discovery of knowledge to clinical practice is stated, and potential papers’ solutions are suggested to address this problem. Numerical data, figures, tables, and graphs explain patterns and results.

Предпосылки существования вариаций врожденного иммунного ответа Galleria mellonella

Abstract. Pathogen abundance or pathogen genotypes may vary in space or time, resulting in fluctuations in immune responses. Genetic variation in the presence of biogeographically determined intraspecific diversity provides important information about the presence of such variations in a species widely used in laboratories and distributed worldwide, suggesting the presence of different immune responses against pathogens. Invertebrates have balancing selection with specific coevolution, in contrast to vertebrate AMPs, which have strong positive selection and a high probability of coevolution. Balancing selection on individual AMP genes in invertebrates may result in polymorphisms in amino acid sequences, potentially changing susceptibility to pathogens, the study of which is of high scientific significance. The purpose of the study was to investigate the potential existence of an extended haplotype (common to several individuals) or a separate haplotype encoding AMP among non-mammalian model organisms. Methods. The object of this study was a model organism (the greater wax moth Galleria mellonella). The analysis of G. mellonella genome assemblies was performed using 11 nuclear targets and the 16S ribosomal RNA region. Results. Six biogeographically distinct individuals were identified, obtained from both natural and artificial ecosystems: either from adults or larvae. Scientific novelty. The 11 nuclear targets encoding G. mellonella antimicrobial peptides and the 16S ribosomal RNA region helped to distinguish three population groups, which potentially supports the hypothesis of the existence of a variable innate immune response in this laboratory model in the presence of biogeographically determined intraspecific diversity.

Dietary Influences on the Longevity and Reproductive Success of Anopheles aquasalis in Laboratory Studies: Sucrose vs. Honey.

Malaria continues to be a major public health challenge in tropical and subtropical regions. Anopheles aquasalis, a key laboratory model for malaria research, plays a critical role in the study of vector-parasite interactions. Although vector life traits and environmental factors such as age and resource availability can influence the transmission potential of mosquitoes for Plasmodium parasites, the impact of different adult diets on their survival and reproductive fitness remains underexplored. This study investigates the effects of sucrose and honey diets on the longevity, fertility, and fecundity of Anopheles aquasalis under controlled laboratory conditions. Our results demonstrate that the type of diet significantly affects mosquito survival and reproductive output. Specifically, mosquitoes consuming honey exhibited a substantially longer lifespan and higher fecundity compared to those fed on sucrose. Additionally, eggs laid by honey-fed females had notably higher hatching success rates than those from sucrose-fed females. These findings underscore the profound impact of dietary choices on the reproductive fitness of Anopheles aquasalis, with important implications for laboratory studies focusing on vector-parasite interactions. This study highlights the need for a careful consideration of diet in vector research to ensure accurate assessment of vector competence and disease transmission.

Laboratory Modelling of Fire Effects on Monuments Built with Pyroclastic Rocks: Niğde Region, Turkey

ABSTRACT Fires can have devastating effects on cultural stone heritage. Micro and macro changes occur in building stones exposed to high temperatures. Micro changes also cause changes in the physical properties of rocks. These changes not only cause instant damage to the monuments, but also make them less resistant to atmospheric processes and increase the rate of deterioration. Modelling these changes in cultural heritage in a laboratory environment can play an important role in ensuring the continuity of monuments. For this purpose, pyroclastic rock taken from the Niğde (Turkey) region was subjected to heat-treatment and the changes in the samples were investigated with XRD, SEM-EDX, TGA, spectrophotometry, porosity, P-wave velocity, capillary water absorption, and heat treatment loss. It was determined that the mineralogical changes in the structure of the rock with the increase in temperature affected various micro and macro properties.