Article
Engineering, Civil
Zili Zhou, Youcai Tuo, Jia Li, Min Chen, Haoyu Wang, Lei Zhu, Yun Deng
Summary: This study demonstrates the complex response of sand-bed braided floodplain to morphological variations induced by geomorphic and hydrological processes. It provides a reference for studying the ecological importance of flood dispatches and fills the data gap in morphological evolution research in Tibet. Additionally, a convenient and high-accuracy remote sensing method suitable for wide-valley rivers with multiple channels was established.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Craig B. Brinkerhoff, Colin J. Gleason, Christopher J. Zappa, Peter A. Raymond, Merritt E. Harlan
Summary: Two decades of research have shown that the global river network emits significant amounts of greenhouse gas. This article proposes a new algorithm, BIKER, which can remotely predict the temporal variation of gas exchange in rivers solely based on observations from the SWOT satellite. The algorithm performs well in inferring the temporal dynamics of gas exchange but has limitations in reproducing the absolute rates of exchange.
GLOBAL BIOGEOCHEMICAL CYCLES
(2022)
Article
Geosciences, Multidisciplinary
Alicia Sendrowski, Ellen Wohl, Robert Hilton, Natalie Kramer, Philippa Ascough
Summary: By utilizing high-resolution satellite imagery and deep learning, we have identified over 400,000 large wood deposits in the Mackenzie River Delta (MRD), measuring their carbon stock and age. The majority of the sampled wood pieces are relatively young, with around 40% formed after 1955. These findings reveal an important carbon pool in the MRD that goes beyond the deeper carbon stocks in permafrost zones. Furthermore, this research emphasizes the significance of further exploration into this overlooked carbon pool in river deltas and coastal regions of the Arctic.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Biodiversity Conservation
Samiha Mahzabin Ritu, Showmitra Kumar Sarkar, Hasan Zonaed
Summary: River channel migration has significant ecological and human impacts. This study aims to assess the spatiotemporal variation of Padma River bank line and surrounding land use and land cover (LULC) and predicts future changes. The findings reveal degradation trends and provide a spatial strategy for monitoring and improving the ecosystem.
ECOLOGICAL INDICATORS
(2023)
Article
Geosciences, Multidisciplinary
Nishat Rayhana Eshita, Mohammad Amir Hossain Bhuiyan, A. H. M. Saadat
Summary: This study used remote sensing and GIS techniques to analyze the morphological changes of the Padma River and the resulting socioeconomic impacts on the downstream riverbank area. The results showed that the river experienced erosion and accretion, with significant loss of land for people living along the riverbank. To address this issue, effective river management policies and implementation of permanent solutions are urgently needed.
Article
Engineering, Civil
Jianping Wu, Wenjie Li, Hongbo Du, Yu Wan, Shengfa Yang, Yi Xiao
Summary: In this study, a method for estimating river bathymetry by combining remotely sensed observations of water level and river width with a nonlinear z-w relationship derived from a generalized channel cross-sectional shape is proposed and tested. The results from five reaches of the upper Yangtze River show the ability of this method to provide accurate estimates with an absolute relative error between 1.25% and 6.18%. The channel exposure is the main limitation of the proposed method, and the river bathymetry estimates improve significantly with increasing channel exposure. Average reaches over an appropriate length can reduce variability in river bathymetry estimate, especially when data are reach-averaged over a length of 10 km. Considering that a priori bathymetric information is not required and its computational process is relatively simple, the proposed method could open up the possibility of bathymetry modeling of global rivers.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Chemical
Xintao Li, Shuhan Li, Minxiao Zhao, Xin Guo, Tingjun Zhang
Summary: This paper characterizes the body of knowledge on remote sensing from 1999 to 2021 through bibliometric techniques. A total of 28,438 articles were analyzed, examining various aspects such as countries, institutes, subjects, journals, and keywords. The analysis reveals dynamic changes in remote sensing research, co-occurrences of keywords, technological advancements, and emerging research hotspots.
Article
Environmental Sciences
Adriano M. Junqueira, Feng Mao, Tatiana S. G. Mendes, Silvio J. C. Simoes, Jose A. P. Balestieri, David M. Hannah
Summary: This study introduces a novel approach to estimate river flows using Planet CubeSats, enabling daily monitoring at the sub-catchment scale through remote sensing. The methodology correlates water bodies areas extracted from satellite images with observed river discharge data, showing significant correlations and indicating the potential use of CubeSat images as a virtual station for flow estimation.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Bo Wang, Laurence C. Smith, Xiao Yang, Tamlin M. Pavelsky, Elizabeth H. Altenau, Colin J. Gleason, Alain Pietroniro, Ernesto Rodriguez, Paul D. Bates
Summary: This study used remote sensing, cloud computing, and geospatial analysis to explore the development of anabranching in 20 of the world's largest river basins. The results show that most large river mainstems have anabranching channels, and identified important control mechanisms for anabranching, with implications for satellite-based discharge retrievals. The use of global analyses afforded by remote sensing and cloud computing offers complementary approaches to traditional field-based methods for understanding large river geomorphic processes and channel forms.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Yutao Fu, Richard G. J. Bellerby, Hongyu Ji, Shenliang Chen, Yaoshen Fan, Peng Li
Summary: The study reveals that high-energy riverine floods can cause significant hydrodynamic changes in the Yellow River Delta, especially in the abandoned river mouth. This leads to severe erosion and intensified sediment resuspension and transport processes, highlighting the importance of high riverine floods on the hydro-sediment dynamics of large river deltas.
Article
Geosciences, Multidisciplinary
Gustavo Willy Nagel, Stephen E. Darby, Julian Leyland
Summary: Meandering rivers are complex systems that are vital for biodiversity and livelihoods. Satellite remote sensing has greatly contributed to our understanding of meandering river dynamics and has been applied to analyze river meander migration processes. The majority of studies focused on the Ganges/Brahmaputra and the Amazon Basin, with Landsat being the most commonly used satellite for river monitoring. Further advancements in sensors and processing techniques are discussed, offering new possibilities for future research.
EARTH-SCIENCE REVIEWS
(2023)
Article
Engineering, Environmental
Md Hasanuzzaman, Amiya Gayen, Sk Mafizul Haque, Pravat Kumar Shit
Summary: Channel dynamics and land use/land cover change of the Kaljani River in the eastern Himalayan foothill were studied using earth observatory data from 1972 to 2020. The study found that significant erosion occurred during 1998-2008, with predicted future changes in the river channel. Changes in land use/land cover also showed distinct patterns.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Environmental Sciences
Taixia Wu, Zenan Xu, Ran Chen, Shudong Wang, Tao Li
Summary: Meandering channel migration is a widespread phenomenon in rivers worldwide, with effects on the natural environment. Remote sensing can detect the spatial and temporal characteristics of river channels and help in planning for their safety. This study proposes a channel activity remote sensing retrieval model that guarantees high accuracy and automation. Using Landsat images, the overall and segmental channel activity of the Lower Yellow River was calculated and showed a gradual decrease between 1990 and 2020.
Article
Geosciences, Multidisciplinary
Yaying Lou, Zhijun Dai, Xixi Lu, Dongfeng Li
Summary: This study uses the Google Earth Engine platform to analyze the hydromorphodynamics of riverine islands in the Upper Jinjiang reach of the Changjiang River. The results show that the total area of vegetated islands has expanded, while the area of bars has decreased. The evolution of the islands can be divided into deposition, erosion, and stabilization stages. The Three Gorges Dam project and recent island protection projects have played important roles in the evolution of the islands.
Article
Environmental Sciences
Dhyey Bhatpuria, Karthikeyan Matheswaran, Thanapon Piman, Theara Tha, Peeranan Towashiraporn
Summary: A web-based seasonal river morphological monitoring system for Ayeyarwady River was developed using cloud-based remote sensing data processing technology. The system assesses changes in river morphology over time and space and provides accurate information for planning and management.
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
Environmental Studies
Tommaso Sitzia, Simone Iacopino, Edoardo Alterio, Francesco Comiti, Nicola Surian, Luca Mao, Mario Aristide Lenzi, Thomas Campagnaro, Lorenzo Picco
Summary: In this article, the authors discuss the relationship between riverine geomorphological patterns and plant community structures under different intensities of human disturbance. Their research conducted along three major gravel-bed rivers in the Italian Alps demonstrates that the variance in woody species can be explained by geomorphology and the intensity of human disturbance. They also propose an interpretation key and adaptation of the intermediate disturbance hypothesis.
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
Geography, Physical
A. Brenna, L. Marchi, M. Borga, M. Zaramella, N. Surian
Summary: Our ability to predict the morphological changes in a mountain river affected by a severe flood is currently limited. We extended previous research by investigating the role of sediment transport processes in channel widening, and found that debris floods can induce more intense widening than water flows.
Article
Geography, Physical
A. Brenna, N. Surian
Summary: This study utilized tracer particles and a virtual velocity approach to examine sediment mobility and coarse bed material transport in wide mountain streams. The results showed that the mobilization of coarse particles in the streambed is influenced by previous large flood events, resulting in higher sediment fluxes than normal.
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
Environmental Sciences
Babak Zolghadr-Asli, Mojtaba Naghdyzadegan Jahromi, Xi Wan, Maedeh Enayati, Maryam Naghdizadegan Jahromi, Mohsen Tahmasebi Nasab, John P. P. Tiefenbacher, Hamid Reza Pourghasemi
Summary: This study aims to reveal depletion patterns and potential causes of shrinking saline lakes through a comprehensive analytical framework and data mining techniques. The application of this framework on Maharlou Lake shows two types of depletion patterns related to climate change and anthropogenic drought.
Article
Green & Sustainable Science & Technology
Saskia Keesstra, Jeroen Veraart, Jan Verhagen, Saskia Visser, Marit Kragt, Vincent Linderhof, Wilfred Appelman, Jolanda van den Berg, Ayodeji Deolu-Ajayi, Annemarie Groot
Summary: Food systems are currently not meeting the expectations and needs for societal well-being and ecological sustainability. This paper proposes that nature-based solutions (NBS) can address system challenges and contribute to the transition to sustainable climate-resilient food systems. The authors evaluate different types of NBS and suggest that inspired NBS can play a significant role in achieving sustainable development in food systems. However, there are knowledge gaps that need to be filled to support the development of NBS for sustainable, climate-resilient food systems.
Correction
Geosciences, Multidisciplinary
Hamid Reza Pourghasemi, Soheila Pouyan, Mojgan Bordbar, Foroogh Golkar, John J. Clague
Article
Remote Sensing
Narges Kariminejad, Mohammad Kazemi Garajeh, Mohsen Hosseinalizadeh, Foroogh Golkar, Hamid Reza Pourghasemi
Summary: This study utilized multiple remote sensing satellites and unmanned aerial vehicles to calculate soil losses in the Loess Plateau of Iran. The results showed the importance of advanced technologies in accurately assessing soil erosion. The combination of UAV, Sentinel-2, and SPOT-6 data resulted in improved accuracy, making it a powerful approach for calculating soil loss in the region.
Article
Environmental Sciences
Elisa Bozzolan, Andrea Brenna, Nicola Surian, Patrice Carbonneau, Simone Bizzi
Summary: Machine learning algorithms applied on Sentinel 2 images provide an opportunity to automatically classify and monitor fluvial geomorphic feature dynamics. In this study, the significance of spatial and temporal resolution in geomorphic research was analyzed in the context of the Sesia River. The results show that the active channel trajectory derived from Sentinel 2 images is robust and can effectively capture the river geomorphic response.
WATER RESOURCES RESEARCH
(2023)
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)
