Article
Environmental Sciences
Saeed Reza Akbarian Ronizi, Saeed Negahban, Marzieh Mokarram
Summary: The purpose of this study is to predict drought changes in Dariun, Fars Province and their impact on water and soil quality. This was done by creating zoning maps using Landsat satellite images and the kriging method, and determining fuzzy maps and weights through fuzzy and analytic hierarchy process methods. The study also used cellular automata-Markov chains to forecast the effects of drought on water and soil quality.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Civil
Abdol Rassoul Zarei, Mohammad Reza Mahmoudi
Summary: This study assessed and predicted the vulnerability of Fars province to agrometeorological drought using 18 effective indicators and methods such as Fuzzy-AHP and second-order Markov chain. The results showed that the rain-fed cultivated area and slop were the most influential factors on drought vulnerability. The area was classified into moderate and severe vulnerability classes, with trends of decreasing and increasing vulnerability over the years.
WATER RESOURCES MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Seyyed Ali Sadat, Mohammadreza Vakilalroaya Fini, Hamed Hashemi-Dezaki, Mohammad Nazififard
Summary: Iran has great potential for solar energy utilization, but faces various barriers in achieving renewable energy goals. Comprehensive studies using multiple-criteria decision-making and qualitative methods are necessary to overcome these obstacles.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Computer Science, Artificial Intelligence
Sheng-li Xu, Tang Yeyao, Mohammad Shabaz
Summary: During the COVID-19 outbreak, information technology played a critical role in promoting global education. Online teaching had a positive impact on students' learning processes by providing rich learning resources and improving teachers' teaching techniques. The Fuzzy Analytical Hierarchy Process (Fuzzy AHP) method proved to be an efficient tool for selecting teaching approaches.
Article
Mathematics
Svajone Bekesiene, Aidas Vasilis Vasiliauskas, Sarka Hoskova-Mayerova, Virgilija Vasiliene-Vasiliauskiene
Summary: This paper presents the application of Fuzzy AHP-TOPSIS hybrid method in distance learning quality assessment surveys. Thirty-four judges with specific knowledge and skills were chosen to evaluate three alternatives by fourteen criteria, and statistical analysis was used to process the data. The study further provides useful guidelines for the development of an easily understandable hierarchy of criteria model reflecting the main goal of study quality assessment.
Article
Computer Science, Artificial Intelligence
Priyanka Majumder, Valentina Emilia Balas, Arnab Paul, Dayarnab Baidya
Summary: This work introduces a novel fuzzy decision making technique based on trapezoidal fuzzy number and presents a new hybrid MCDM technique. The results are validated through comparative study, scenario analysis and sensitivity analysis.
PEERJ COMPUTER SCIENCE
(2021)
Article
Computer Science, Information Systems
Jiancheng Tu, Zhibin Wu, Witold Pedrycz
Summary: The best-worst method is a recently developed approach for pairwise comparisons in multi-criteria decision-making. It is widely used due to its effectiveness in reducing comparison time and maintaining consistency. However, existing prioritization methods for the best-worst method fail to consider indirect judgments and meet established criteria. This paper introduces two new prioritization methods, the approximate eigenvalue method and the logarithmic least squares method, and evaluates their performance using Monte Carlo simulation, concluding that the logarithmic least squares method is the best due to its simplicity, consideration of indirect judgments, and minimal violations.
INFORMATION SCIENCES
(2023)
Article
Biodiversity Conservation
Marzieh Mokarram, Tam Minh Pham
Summary: This study uses a novel meteorological drought-based approach to predict the yield of pomegranate and palm trees in southern Iran, and identifies the most effective drought indices through remote-sensing indices and principal component analysis. The results predict that approximately 50-60% of the region will have low yields for these crops in 2040. This approach provides a framework for predicting the decreasing crop yield due to drought effects and supporting decision-making in sustainable horticultural management.
ECOLOGICAL INDICATORS
(2022)
Article
Geosciences, Multidisciplinary
Sunil Saha, Barnali Kundu, Gopal Chandra Paul, Kaustuv Mukherjee, Biswajeet Pradhan, Abhirup Dikshit, Khairul Nizam Abdul Maulud, Abdullah M. Alamri
Summary: The study prepared a drought vulnerability map for Odisha, India by integrating geospatial methods with Fuzzy-Analytical Hierarchy Process, showing that 33.94% of the region falls under the high-drought vulnerability category. The method was validated using statistical metrics, indicating its effectiveness in determining drought vulnerability and assisting planners in formulating drought mitigation strategies.
GEOMATICS NATURAL HAZARDS & RISK
(2021)
Review
Mathematics
Dongjun Chen, Hongbin Xie, Kifayat Ullah
Summary: The paper proposes a new fire safety evaluation method based on the Dempster-Shafer evidence theory and best-worst method to address existing issues. By constructing a fire safety evaluation index system, determining weights using the best-worst method, and efficiently fusing linguistic assessments, the reliability of expert opinions and decision-making efficiency are improved.
JOURNAL OF MATHEMATICS
(2021)
Article
Environmental Sciences
Susanta Mahato, Gita Mandal, Barnali Kundu, Sonali Kundu, P. K. Joshi, Pankaj Kumar
Summary: This study utilizes geospatial techniques and the Fuzzy Analytical Hierarchy Process to create a drought vulnerability map for northwestern Odisha, India. The map classifies regions into five vulnerability levels, with approximately 33% of the area being classified as having high drought vulnerability. Validation using statistical metrics demonstrates the effectiveness of this approach in assessing drought vulnerability.
Article
Construction & Building Technology
Ahmed Al Shouny, Usama Hamed Issa, Yehia Miky, Ibrahim A. Sharaky
Summary: Sustainable concrete is essential for achieving sustainable development in construction, and a decision-making model (SCSDMM) has been developed to select the best sustainable concrete. The model utilizes fuzzy logic to evaluate criteria and analytic hierarchy process (AHP) to support the final decision. It considers nine replacement materials and various comparison criteria. Case studies in Saudi Arabia and Egypt show the importance of compressive strength, low water absorption, and recycled materials availability in selecting sustainable concrete mixes. Sensitivity analysis tests demonstrate the robustness of the model.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2023)
Article
Green & Sustainable Science & Technology
Xiaowei Guan, Jun Zhao
Summary: Implementing sustainable precision manufacturing (SPM) is of great strategic significance. This study identifies and ranks the drivers of SPM through the support of prior studies and expert opinions. The results indicate that technological innovation, government support, and current legislation are the most critical factors in the implementation of SPM.
Article
Engineering, Civil
Peyman Mahmoudi, Allahbakhsh Rigi
Summary: The main objective of this study is to predict the transition probability of different classes of droughts in Iran. The effective drought index (EDI) was used to recognize the abundance of various drought classes in Iran. Cluster analysis was conducted to divide Iran into five separate regions. Homogenous and nonhomogenous Markov chains were used to extract features related to drought severity and prediction. The results show that drought probability decreases with increased severity and the nonhomogenous Markov chain formulation provides more accurate predictions for arid and semiarid regions.
JOURNAL OF HYDROLOGIC ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Ali Mohtashami
Summary: This paper introduces a new method for fuzzy pairwise comparisons, Best-Worst Method for considering Fuzzy Pairwise Comparisons (FBWM), which differs from previous approaches by obtaining crisp weights from a fuzzy pairwise comparison matrix, eliminating the need for supplementary aggregation of fuzzy weights and ranking procedures.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Energy & Fuels
Marzieh Mokarram, Dinesh Sathyamoorthy
Summary: This study uses GIS and fuzzy-AHP method as well as DST model to determine suitable locations for gas power plant construction in Esfahan province, Iran. The factors considered for power plant location include distance to pipeline and road, lithology, distance to stream, elevation, slope, and land use. The results from fuzzy-AHP method and DST model show that there are certain areas unsuitable for gas power plant construction at different levels of confidence.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2023)
Article
Environmental Sciences
Ahmed M. Youssef, Hamid Reza Pourghasemi, Ali M. Mahdi, Saleh S. Matar
Summary: In this study, various models and parameters were used to assess flood vulnerability in the Taif catchment area of Saudi Arabia. By creating flood susceptibility maps and integrating them with topographic information, a suitability map was generated to aid in land use planning. The results provide valuable insights for engineers and authorities to reduce flood hazards in the area.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Geosciences, Multidisciplinary
Ahmed M. Youssef, Ali M. Mahdi, Hamid Reza Pourghasemi
Summary: Wadi El-Matulla in the eastern desert of Egypt is a crucial water basin, with many urban areas and agricultural lands located at its outlet. This study compares three techniques to determine the optimal flood susceptibility mapping algorithm and finds that the random forest (RF) model performs the best. The RF model is verified using real floods in 2016 and 2021, showing good agreement, and can provide guidance for decision makers and planners to protect existing facilities and plan future projects.
Article
Geosciences, Multidisciplinary
Ahmed M. Youssef, Ali M. Mahdi, Mohamed M. Al-Katheri, Soheila Pouyan, Hamid Reza Pourghasemi
Summary: The study aimed at creating a multi-hazard susceptibility map for the Hasher-Fayfa Basin in the Jazan region of Saudi Arabia. Machine learning algorithms were used to map the probabilities of landslides, floods, and gully erosion. The most accurate predictive models were determined using the area under the curve (AUC) evaluation, with FDA model performing best for landslides and RF model performing best for floods and erosion. A map of multi-hazard susceptibility showed that 66.5% of the area is prone to at least one hazard. Machine learning approaches are valuable for multi-hazard modeling and management.
JOURNAL OF AFRICAN EARTH SCIENCES
(2023)
Article
Agriculture, Multidisciplinary
Hosein Amin, Marzieh Mokarram, Abdol Rassoul Zarei
Summary: In this study, the suitability of land for vine cultivation in south-western Iran was evaluated using the fuzzy-analytic hierarchy process (AHP), and a land suitability map was developed. The best harvest time for vines was determined based on the relationship between total soluble solids (TSS) and titratable acidity (TA) with fruit colour (RGB). The results showed that temperature and relative humidity had the greatest impact on vine cultivation and yield.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2023)
Article
Geosciences, Multidisciplinary
Marzieh Mokarram, Tam Minh Pham
Summary: This study used remote sensing data to classify and predict land use in the Bakhtegan Lake watershed in Iran, and investigated its relationship with drought indicators. The findings suggest that the region will experience more drought in the future, with land use shifting towards salt and bare land, resulting in significant economic losses in ecosystem services value.
Article
Engineering, Civil
Abdol Rassoul Zarei, Marzieh Mokarram, Mohammad Reza Mahmoudi
Summary: This study compares the performance of ten drought indices in assessing drought conditions in different time scales in Fars province. The results indicate that MSPEI, MRDI, and MSPI indices are the best drought indices.
WATER RESOURCES MANAGEMENT
(2023)
Article
Environmental Sciences
Emran Dastres, Enayat Jahangiri, Mohsen Edalat, Afshin Zamani, Mahdis Amiri, Hamid Reza Pourghasemi
Summary: Climate change and land use modifications are putting medicinal plants, such as Descurainia sophia, at risk of extinction. In this research, the habitat suitability of D. sophia in southern Iran was mapped using ArcGIS 10.2.2 and ten important variables were identified. Three bivariate models were used to assess habitat suitability, with the index-of-entropy model being the most accurate. These models can be valuable tools for conservation and planning, and help prevent the extinction of medicinal plants.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Geosciences, Multidisciplinary
Soheila Pouyan, Mojgan Bordbar, Venkatesh Ravichandran, John P. Tiefenbacher, Mehrzad Kherad, Hamid Reza Pourghasemi
Summary: This study utilized drought indicators to monitor drought in Iran spatially. Four drought indicators, including the temperature condition index (TCI), vegetation condition index (VCI), vegetation health index (VHI), and precipitation condition index (PCI) were analyzed based on data from 2016 to 2020. The results revealed severe drought in most of Iran in 2020 according to the TCI. The VCI showed that the northern region had the highest vegetation condition without drought. The VHI indicated increasing vegetation stress throughout the study period and severe and moderate droughts reached their peak in the aforementioned years. The PCI demonstrated a decrease in rainfall amounts across most of the country during the study period. The 30-year standardized precipitation index (SPI) showed that northern Iran had adequate rainfall, while most of the country experienced extreme and severe dryness. The analysis of the VHI index for agricultural plants identified critical drought conditions in 27.71% of Iran's agricultural regions, including the provinces of Razavi Khorasan, Hamadan, and Khozestan. This study provides valuable insights into drought monitoring indicators and enhances the understanding of drought in arid and semiarid regions.
Article
Geosciences, Multidisciplinary
Hamid Reza Pourghasemi, Soheila Pouyan, Mojgan Bordbar, Foroogh Golkar, John J. Clague
Summary: Protection against natural hazards is crucial in land-use planning, especially in high-risk areas. This study used machine learning models to create multi-hazard susceptibility maps in Khuzestan Province, Iran, for floods, landslides, forest fires, and earthquakes. Factors such as elevation, slope degree, rainfall, and land use were considered in the models. The random forest model yielded the highest AUC values for forest fires, floods, and landslides, indicating its superior predictive capability.
Article
Geosciences, Multidisciplinary
Narges Kariminejad, Hamid Reza Pourghasemi, Mohsen Hosseinalizadeh, Mauro Rossi, Alessandro Mondini
Summary: In this study, the LANDPLANER model was used to predict the development of gully erosion in the Ghapan-Olya watershed in Golestan province, Iran. The results show that areas with an altitude of 200-300 meters, a slope of 15-30 degrees, southeast facing slopes, and low average accumulation values (< 100) are more prone to gully formation. Additionally, the highest soil erosion index was observed in the autumn scenario with 80 mm daily rainfall. This approach enables the simulation of gully erosion under changing conditions.
Article
Astronomy & Astrophysics
Saeed Reza Akbarian Ronizi, Marzieh Mokarram, Saeed Negahban
Summary: The development of rural tourism activities improves the quality of life for local people and brings many benefits to the community. This study prioritizes tourism areas in Isfahan province to provide the best ecosystem services to tourists. The results show that mountaineering and canyoning are the best alternatives for tourism development.
EARTH AND SPACE SCIENCE
(2023)
Article
Environmental Sciences
Marzieh Mokarram, Mohammad Jafar Mokarram, Arsalan Najafi
Summary: A combination of satellite images and ground data was used to investigate the impact of the Bandar Abbas thermal power plant on the waters of the Persian Gulf coast. Sea Surface Temperature (SST), Total Organic Carbon (TOC), and Chemical Oxygen Demand (COD) were determined as thermal and biological indices. Measurements of atmospheric pollutants were also taken. The study found a strong correlation between water temperature and ecological indices, with the LSTM method showing high accuracy in predicting water temperature.
MARINE POLLUTION BULLETIN
(2023)
Article
Environmental Sciences
Marzieh Mokarram, Hamid Reza Pourghasemi, Tam Minh Pham
Summary: This study examines the water quality of the Caspian Sea by analyzing the presence of nutrients and heavy metals. Water samples from 22 stations were collected and tested for nutrient and heavy metal levels. The study uses fuzzy method to create water quality maps and applies ANNs methods to predict microbial contamination in the future. The findings indicate higher nutrient levels in the western and northwestern areas (about 40.2% of the region), while increased urbanization contributes to high pollution in the eastern and northeastern shores (about 70.1% of the region). The LSTM method shows the highest accuracy among other ANNs methods and suggests a recent increase in pollution levels (R2Water quality = 0.940, R2OECD = 0.950, R2TRIX = 0.840). The study recommends targeted research to understand the causes and control pollution in the Caspian Sea given the predicted increase in pollution.
MARINE POLLUTION BULLETIN
(2023)
Correction
Geosciences, Multidisciplinary
Hamid Reza Pourghasemi, Soheila Pouyan, Mojgan Bordbar, Foroogh Golkar, John J. Clague
Article
Environmental Sciences
Toshimi Nakajima, Mao Kuragano, Makoto Yamada, Ryo Sugimoto
Summary: This study compared the contribution of submarine groundwater discharge (SGD) to river nutrient budgets at nearshore and embayment scales, and found that SGD-derived nutrients become more important at larger spatial scales.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Fan Liu, Lei Zhang, Chongyang Zhang, Ziguang Chen, Jingguang Li
Summary: NO2 emissions from wall-mounted gas stoves used for household heating have become a significant source of indoor pollution in Chinese urban areas. The high indoor concentration of NO2 poses potential health risks to residents. It is urgently necessary to establish relevant regulations and implement emission reduction technologies to reduce NO2 emissions from wall-mounted gas stoves.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Letter
Environmental Sciences
Hans Peter H. Arp, Raoul Wolf, Sarah E. Hale, Sivani Baskaran, Juliane Gluege, Martin Scheringer, Xenia Trier, Ian T. Cousins, Harrie Timmer, Roberta Hofman-Caris, Anna Lennquist, Andre D. Bannink, Gerard J. Stroomberg, Rosa M. A. Sjerps, Rosa Montes, Rosario Rodil, Jose Benito Quintana, Daniel Zahn, Herve Gallard, Tobias Mohr, Ivo Schliebner, Michael Neumann
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Philomina Onyedikachi Peter, Binessi Edouard Ifon, Francois Nkinahamira, Kayode Hassan Lasisi, Jiangwei Li, Anyi Hu, Chang-Ping Yu
Summary: This study investigates the relationship between dissolved organic matter (DOM) and Rare Earth Elements (REEs) in sediments from Yundang Lagoon, China. The results show four distinct fluorescent components, with protein-like substances being the most prevalent. Additionally, the total fluorescence intensity and LREE concentrations exhibit a synchronized increase from Outer to Inner to Songbai Lake core sediments. The findings demonstrate a strong correlation between DOM content and pollution levels.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Surya Gupta, Pasquale Borrelli, Panos Panagos, Christine Alewell
Summary: The objective of this study is to incorporate soil hydraulic properties into the erodibility factor (K) of USLE-type models. By modifying and improving the existing equations for soil texture and permeability, the study successfully included information on saturated hydraulic conductivity (Ksat) into the calculation of K factor. Using the Random Forest machine learning algorithm, two independent K factor maps with different spatial resolutions were generated. The results show that the decrease in K factor values has a positive impact on the modeling of soil erosion rates.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jesmin Akter, Wendy J. M. Smith, Yawen Liu, Ilho Kim, Stuart L. Simpson, Phong Thai, Asja Korajkic, Warish Ahmed
Summary: The choice of workflow in wastewater surveillance has a significant impact on SARS-CoV-2 concentrations, while having minimal effects on HF183 and no effect on HAdV 40/41 concentrations. Certain components in the workflow can be interchangeable, but factors such as buffer type, chloroform, and homogenization speed can affect the recovery of viruses and bacteria.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yu Luo, Xueting Yang, Diwei Wang, Hongmei Xu, Hongai Zhang, Shasha Huang, Qiyuan Wang, Ningning Zhang, Junji Cao, Zhenxing Shen
Summary: Atmospheric PM2.5, which can generate reactive oxygen species (ROS), is associated with cardiorespiratory morbidity and mortality. The study found that both the mass concentration of PM2.5 and the DTT activity were higher during the heating season than during the nonheating season. Combustion sources were the primary contributors to DTT activity during the heating season, while secondary formation dominated during the nonheating season. The study also revealed that biomass burning had the highest inherent oxidation potential among all sources investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Erin L. Murphy, Leah R. Gerber, Chelsea M. Rochman, Beth Polidoro
Summary: Plastic pollution has devastating consequences for marine organisms. This study uses a trait-based framework to develop a vulnerability index for marine mammals, seabirds, and sea turtles in Hawai'i. The index ranks 63 study species based on their vulnerability to macroplastic pollution, providing valuable information for species monitoring and management priorities.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Kenji Maurice, Amelia Bourceret, Sami Youssef, Stephane Boivin, Liam Laurent-Webb, Coraline Damasio, Hassan Boukcim, Marc-Andre Selosse, Marc Ducousso
Summary: Growing pressure from climate change and agricultural land use is destabilizing soil microbial community interactions. Little is known about microbial community resistance and adaptation to disturbances, hindering our understanding of recovery latency and implications for ecosystem functioning. This study found that anthropic disturbance and natural disturbance have different effects on the topology and stability of soil microbial networks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yunhao Li, Yali Feng, Haoran Li, Yisong Yao, Chenglong Xu, Jinrong Ju, Ruiyu Ma, Haoyu Wang, Shiwei Jiang
Summary: Deep-sea mining poses a serious threat to marine ecosystems and human health by disturbing sediment and transmitting metal ions through the food chain. This study developed a new regenerative adsorption material, OMN@SA, which effectively removes metal ions. The adsorption mechanism and performance of the material for metal ion fixation were investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Antonio Medici, Margherita Lavorgna, Marina Isidori, Chiara Russo, Elena Orlo, Giovanni Luongo, Giovanni Di Fabio, Armando Zarrelli
Summary: Valsartan, a widely used antihypertensive drug, has been detected in high concentrations in surface waters due to its unchanged excretion and incomplete degradation in wastewater treatment plants. This study investigated the degradation of valsartan and identified 14 degradation byproducts. The acute and chronic toxicity of these byproducts were evaluated in key organisms in the freshwater trophic chain.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jiang Lin, Lianbao Chi, Qing Yuan, Busu Li, Mingbao Feng
Summary: This study investigated the photodegradation behavior and product formation of two representative pharmaceuticals in simulated estuary water. The study found that the formed transformation products of these pharmaceuticals have potential toxicity on marine organisms, including oxidative stress and damage to cellular components.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Hua Fang, Dongdong Jiang, Ye He, Siyi Wu, Yuehong Li, Ziqi Zhang, Haoting Chen, Zixin Zheng, Yan Sun, Wenxiang Wang
Summary: This study revealed that exposure to lower levels of air pollutants led to decreased pregnancy rates, with PM10, NO2, SO2, and CO emerging as the four most prominent pollutants. Individuals aged 35 and above exhibited heightened susceptibility to pollutants.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Ali Shaan Manzoor Ghumman, Rashid Shamsuddin, Amin Abbasi, Mohaira Ahmad, Yoshiaki Yoshida, Abdul Sami, Hamad Almohamadi
Summary: In this study, inverse vulcanized polysulfides (IVP) were synthesized by reacting molten sulfur with 4-vinyl benzyl chloride, and then functionalized using N-methyl D-glucamine (NMDG). The functionalized IVP showed a high mercury adsorption capacity and a machine learning model was developed to predict the amount of mercury removed. Furthermore, the functionalized IVP can be regenerated and reused, providing a sustainable and cost-effective adsorbent.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Rita Bonfiglio, Renata Sisto, Stefano Casciardi, Valeria Palumbo, Maria Paola Scioli, Erica Giacobbi, Francesca Servadei, Gerry Melino, Alessandro Mauriello, Manuel Scimeca
Summary: This study investigated the presence of aluminum in human colon cancer samples and its potential association with biological processes involved in cancer progression. Aluminum was found in tumor areas of 24% of patients and was associated with epithelial to mesenchymal transition (EMT) and cell death. Additional analyses revealed higher tumor mutational burden and mutations in genes related to EMT and apoptosis in aluminum-positive colon cancers. Understanding the molecular mechanisms of aluminum toxicity may improve strategies for the management of colon cancer patients.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
