Article
Chemistry, Analytical
Xing Ma, Marti Z. Hua, Chao Ji, Jing Zhang, Rui Shi, Yabing Xiao, Xiaojing Liu, Xiahong He, Wenjie Zheng, Xiaonan Lu
Summary: This study presents a high-sensitivity X-ray fluorescence method for rapid and low-cost detection of arsenic, lead, and cadmium residues in herbal medicines. The method offers fast and accurate analysis, improving the efficiency of heavy metal contamination monitoring in herbal medicines.
Article
Environmental Sciences
Atta G. Attaelmanan, Huda Aslam, Tarig Ali, Lara Dronjak
Summary: Fourteen heavy metals, including priority pollutants chromium, nickel, copper, zinc, and lead, were detected in microplastic samples collected from the coast of Dubai.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Food Science & Technology
Yifan Wang, Sizhe Dong, Jinrong Xiao, Qiuhui Hu, Liyan Zhao
Summary: The objective of this study was to develop and validate a quick and easy method for the quantification of multiple heavy metal elements in scallops using high definition X-ray fluorescence spectrometry. The study established a new model and determined the optimal experimental conditions, while evaluating various performance parameters. The results demonstrated the feasibility of this method as an accurate, simple, and rapid analytical approach.
FOOD ANALYTICAL METHODS
(2022)
Article
Environmental Sciences
Euler Gallego-Cartagena, Hector Morillas, Wendy Morgado-Gamero, Fabio Fuentes-Gandara, Victor Vacca-Jimeno, Isabel Salcedo, Juan Manuel Madariaga, Maite Maguregui
Summary: Concerns about air pollution have increased significantly in recent decades, especially in urban areas. The use of biological systems as passive samplers provides information about air pollution to assist decision-making in environmental health and urban planning. This study developed a method using naturally growing subaerial biofilms on building facades as natural passive biomonitors for atmospheric heavy metals pollution. The study employed multianalytical approaches to identify the composition of particulate matter accumulated on the biofilms, distinguishing between metals from the original structure and those from anthropogenic emissions. This methodology can be used as an alternative for rapid screening of atmospheric heavy metals pollution.
Article
Chemistry, Multidisciplinary
Yeonjin Kim, Guillaume Rudasingwa, Seung-Hyun Cho, Andrea McWilliams, Choong-Min Kang, Simon Kim, Sungroul Kim
Summary: This inter-lab study aimed to evaluate the comparability of heavy metal concentrations in the same samples using three X-ray fluorescence spectrometers (XRFs) in three different global research institutions. Results showed high detection rates and correlation among the institutions.
APPLIED SCIENCES-BASEL
(2022)
Article
Spectroscopy
F. D. Leite, P. M. S. Carvalho, R. G. Oliveira, M. C. Lopes, I. Domingues, P. M. M. Correia, L. F. N. D. Carramate, S. Pessanha, J. F. C. A. Veloso, A. L. M. Silva
Summary: Understanding the environmental risks of heavy metals is crucial due to their harmful effects on air, soil, water, and living organisms. The Zebrafish has been proven to be an excellent animal model for studying physiological responses and toxicology. A Full-Field Energy Dispersive X-ray Fluorescence imaging system was used to monitor heavy metal accumulation in Zebrafish during a water borne exposure bioassay.
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
(2022)
Article
Multidisciplinary Sciences
Salvina Panebianco, Maria Grazia Pellegriti, Claudio Finocchiaro, Agatino Musumarra, Germana Barone, Maria Cristina Caggiani, Gabriella Cirvilleri, Gabriele Lanzafame, Alfredo Pulvirenti, Agata Scordino, Paolo Mazzoleni
Summary: This study measured the elemental composition of tomato samples from different geographical areas in Sicily using X-ray fluorescence (XRF). The aim was to establish a protocol for in-situ measurement and analysis that can provide quality assessment and traceability of agri-food products, showing the presence of specific elemental signatures associated with geographical origin.
SCIENTIFIC REPORTS
(2023)
Article
Environmental Sciences
Lorella Pascolo, Maria Pachetti, Anna Camillo, Alice Cernogoraz, Clara Rizzardi, Katarina Vogel Mikus, Fabrizio Zanconati, Murielle Salome, Vanessa Tardillo Suarez, Federico Romano, Gabriella Zito, Alessandra Gianoncelli, Giuseppe Ricci
Summary: This study reveals the abnormal accumulation of iron and co-localization of environmental metals in ovarian endometriomas of endometriosis patients, suggesting a potential role in the pathogenesis of endometriosis. The findings provide insights into the relationship between iron dysmetabolism, accumulation of environmental metals, and the development of endometriosis.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Biochemistry & Molecular Biology
Marko Z. Vatamaniuk, Rong Huang, Zeping Zhao, Xin Gen Lei
Summary: Transition metals have essential roles in biological tissues, but some, like cadmium, can be highly toxic. Disturbances in metal balance caused by micronutrient deficiency, pollution or genetic factors can lead to malfunction and diseases. This study used synchrotron X-ray fluorescence microscopy and mice with altered antioxidant enzyme functions to demonstrate the potential of SXRF as a powerful tool for studying biologically relevant metal balance in the pancreas and liver of mice models with disturbed glucose homeostasis.
Article
Soil Science
Yazhou Sun, Wenxuan Guo, David C. Weindorf, Fujun Sun, Sanjit Deb, Guofeng Cao, Jasmine Neupane, Zhe Lin, Abir Raihan
Summary: Excess calcium in soils of semi-arid and arid regions negatively impacts soil structure and chemical properties, limiting crop root growth and nutrient availability. This study examined the spatial variability of soil calcium in relation to topography, hydraulic attributes, and soil types in a production field in the Southern High Plains of Texas. Results showed significant effects of topographic and hydraulic attributes on soil calcium content at different depths, indicating potential soil loss due to erosion on susceptible soils with high slopes. Application of portable X-ray fluorescence spectrometry for assessing soil calcium content may offer a new method for soil erosion evaluation in semi-arid lands, providing valuable information for site-specific soil conservation and crop management.
Article
Environmental Sciences
Francielle R. D. Lima, Polyana Pereira, Ediu C. Silva Junior, Isabela C. F. Vasques, Jakeline R. Oliveira, Claudia C. Windmoller, Alberto Inda, David C. Weindorf, Nilton Curi, Bruno T. Ribeiro, Luiz R. G. Guilherme, Joao Jose Marques
Summary: Mercury toxicity and species in Amazonian soils were analyzed in this study. The concentration of total mercury and its species were determined, and their correlation with elemental composition and physicochemical attributes of soils were investigated. The results showed that the concentration and distribution of total mercury in Amazonian soils were influenced by geographic location and soil attributes.
ENVIRONMENTAL RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Hayley Clos, Marisa Chrysochoou, Nefeli Bompoti, Jacob Isleib
Summary: Urban agriculture is a sustainable practice that provides communities with access to healthy and affordable produce. This study evaluates the use of in situ screening methods to test soil health parameters in urban lots. The results show that pXRF is a reliable tool for screening metal regulatory thresholds in soil, although high soil moisture content can affect the accuracy of in situ measurements.
Article
Environmental Sciences
Eric C. Sirkovich, Sandra L. Walser, Nicolas Perdrial, Justin B. Richardson
Summary: Urban forest soils in New England were evaluated for trace elements using portable X-ray fluorescence (pXRF) and traditional digestion-inductively coupled plasma analyses. Results showed extensive Pb accumulation in urban forest soils, while limited samples exceeded regulatory limits for As and Zn. Pb and Zn concentrations were higher in urban forest soils near multi-family residences compared to recreational and open lots. pXRF measurements were considered accurate for Cu, Pb, and Zn, but caution is needed when using pXRF for Cd and Cr. Additional processing of soil samples did not significantly improve accuracy and precision.
ENVIRONMENTAL POLLUTION
(2023)
Article
Environmental Sciences
George P. Watson, Andrew J. Margenot
Summary: Urban agriculture in post-industrial cities faces concerns on human health risks posed by elevated lead concentrations in edible plant tissues. The addition of soluble phosphate as a mitigation strategy for decreasing soil lead bioavailability to humans may not reduce crop lead uptake and accumulation in edible tissues. The study found that the application of phosphate-based mitigation amendments did not affect lead concentrations in tomato fruit. However, fruit lead concentrations varied between years and were below risk limits. The study suggests investigating the seasonality of lead uptake and focusing on the location of tomato cultivation to mitigate health risks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Environmental
Lydia Otoo Amponsah, Matt Dodd, Godfred Darko
Summary: This study investigated the distribution of toxic metals in surface soils at E-waste recycling sites in Kumasi, Ghana, and found significant environmental pollution and human health risks. The metal concentrations in the soils near the recycling sites were much higher than international soil quality guidelines, and some metals had high bioaccessibility, posing potential harm to human health.
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
(2022)
Article
Agriculture, Multidisciplinary
Marcelo Henrique Procopio Pelegrino, Sergio Henrique Godinho Silva, Alvaro Jose Gomes de Faria, Marcelo Mancini, Anita Fernanda dos Santos Teixeira, Somsubhra Chakraborty, David C. Weindorf, Luiz Roberto Guimaraes Guilherme, Nilton Curi
Summary: Precision agriculture uses proximal sensors to accurately predict soil properties, reducing costs of traditional wet-chemistry analyses. This study aimed to predict exchangeable Ca2+ and available K+ and P in tropical soils using pXRF data, finding reliable predictions for Ca2+ and P but unsuccessful for K+. Testing multiple prediction models is important for precision agriculture, and fusion of data from different sensors may enhance predictions.
PRECISION AGRICULTURE
(2022)
Article
Plant Sciences
Camila Silva Borges, R. Ruby Antonieta Vega, Somsubhra Chakraborty, David C. Weindorf, Guilherme Lopes, Luiz Roberto Guimaraes Guilherme, Nilton Curi, Bin Li, Bruno Teixeira Ribeiro
Summary: This study used a pocket-sized sensor to obtain the color of plant leaves and evaluated its performance by comparing it with the SPAD index. The results showed that the NixTM Pro color sensor was effective in differentiating crops and predicting the SPAD index. The ENET regression algorithm performed best in most crops. Overall, the NixTM Pro color sensor is a fast, sensitive, and easy method for obtaining leaf color.
JOURNAL OF PLANT PHYSIOLOGY
(2022)
Article
Agriculture, Multidisciplinary
R. K. Swetha, Subhadip Dasgupta, Somsubhra Chakraborty, Bin Li, David C. Weindorf, Marcelo Mancini, Sergio Henrique Godinho Silva, Bruno Teixeira Ribeiro, Nilton Curi, Deb Prasad Ray
Summary: This study evaluated the potential of using the Nix color sensor to predict soil properties, and found an acceptable relationship between the Nix sensor and the Munsell Soil Color Chart. Through multivariate data mining algorithms, different soil types were successfully classified, and the combination of the MSCC and Nix datasets produced the best prediction of soil organic carbon.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Geosciences, Multidisciplinary
Anita Fernanda dos Santos Teixeira, Renata Andrade, Marcelo Mancini, Sergio Henrique Godinho Silva, David C. Weindorf, Somsubhra Chakraborty, Luiz Roberto Guimaraes Guilherme, Nilton Curi
Summary: This study evaluated the use of different sensors and auxiliary variables to predict soil properties. The results showed that the combination of multiple sensors provided the best predictions, but pXRF alone achieved similar accuracies. NixProTM contributed significantly to the prediction of SOM and CEC, while pXRF and Vis-NIR produced the best results for most variables. Soil-order-specific models improved predictions for Ultisols, but soil parent material and horizon had little effect on the models. Categorical predictions improved accuracy, especially for pH in A horizons of Ultisols using pXRF + Vis-NIR data.
JOURNAL OF SOUTH AMERICAN EARTH SCIENCES
(2022)
Article
Soil Science
Renata Andrade, Marcelo Mancini, Anita Fernanda dos Santos Teixeira, Sergio Henrique Godinho Silva, David C. Weindorf, Somsubhra Chakraborty, Luiz Roberto Guimaraes Guilherme, Nilton Curi
Summary: This study evaluated the use of proximal sensor data via random forest algorithm for predicting soil particle size fractions and soil textural classes in tropical regions. The results showed that pXRF data were crucial for accurate soil texture prediction. The use of proximal sensors can provide rapid and accurate assessment of soil texture, supporting agronomic and environmental strategies in Brazilian conditions.
Article
Agronomy
Luiza Maria Pereira Pierangeli, Sergio Henrique Godinho Silva, Anita Fernanda dos Santos Teixeira, Marcelo Mancini, Renata Andrade, Michele Duarte de Menezes, Joao Jose Marques, David C. Weindorf, Nilton Curi
Summary: This study evaluated the contribution of proximal and remotely sensed data in predicting soil texture and available micronutrient contents. The results showed that portable X-ray fluorescence (pXRF) data played a key role in achieving the best predictions.
Article
Environmental Sciences
Amanda Jo Zimmerman, Danira Garcia Gutierrez, Negar Shaghaghi, Aakriti Sharma, Amrika Deonarine, Gautier Landrot, David C. Weindorf, Matthew G. Siebecker
Summary: This study systematically investigates the mobility of arsenic-enriched titanium dioxide water treatment residuals (TiO2 WTRs), and finds that a significant portion of arsenic can be extracted when exposed to phosphate solutions. Macroscopic desorption experiments and X-ray absorption spectroscopy (XAS) confirm the formation of inner-sphere bonds between arsenic and TiO2 particles. Additionally, incubation experiments reveal the reduction of arsenic(V) to arsenic(III) in solution. The high mobility of arsenic and the potential for reduction present important risks, particularly in agriculturally important areas where waste products are not properly managed.
ENVIRONMENTAL POLLUTION
(2023)
Article
Soil Science
Shubhadip Dasgupta, Santonu Debnath, Ayan Das, Asim Biswas, David C. Weindorf, Bin Li, Arvind Kumar Shukla, Shreya Das, Sushanta Saha, Somsubhra Chakraborty
Summary: This study produced digital soil maps of available Zn, Cu, Fe, and Mn using soil samples from the Indo-Gangetic Plain of India, and compared the prediction accuracy of 14 machine learning approaches. A hybrid ensemble model was found to outperform all other models and was used to produce micronutrient maps. The study also explored the relationship between soil micronutrient concentration and grain micronutrient concentration, and developed models to predict grain Zn and Fe content based on soil concentrations.
Article
Geosciences, Multidisciplinary
Luiza Maria Pereira Pierangeli, Sergio Henrique Godinho Silva, Anita Fernanda dos Santos Teixeira, Marcelo Mancini, Renata Andrade, Michele Duarte de Menezes, Mona-Liza C. Sirbescu, Joao Jose Marques, David C. Weindorf, Nilton Curi
Summary: This study aimed to predict the parent material (PM) of soils using proximal sensors and random forest algorithm. The predictive models were successfully created and validated for three different PMs in an experimental farm. The map built based on B horizon data showed better accuracy compared to the one built from A horizon samples.
JOURNAL OF SOUTH AMERICAN EARTH SCIENCES
(2023)
Article
Chemistry, Analytical
V. Lavanya, Anshuman Nayak, Shubhadip Dasgupta, Saroj Urkude, Subhadip Dey, Asim Biswas, Bin Li, David C. Weindorf, Somsubhra Chakraborty
Summary: This research introduces a smartphone-integrated imaging device that can detect nitrate (NO3-) and phosphate (PO43-) in soil and water samples. The device uses a low-cost smartphone with a digital camera to capture color photographs of the test solutions. It utilizes standard colorimetric methods to quantify the concentrations of NO3- and PO43- in soil and water samples. The results obtained from the device are comparable to laboratory-grade spectrophotometer data, and it offers a portable solution for measuring these concentrations without the need for expensive equipment.
MICROCHEMICAL JOURNAL
(2023)
Article
Chemistry, Analytical
Veerabhadrappa Lavanya, Anshuman Nayak, Partha Deb Roy, Shubhadip Dasgupta, Subhadip Dey, Bin Li, David C. Weindorf, Somsubhra Chakraborty
Summary: A novel chromotropic acid-based color development method was proposed for quick estimation of soil nitrate (NO3-) in this study. By analyzing the mean Value (V) component of the sample's image, a 3D printed device integrated with the rear-end camera of a smartphone and a stand-alone application called SMART NP provided instant predictions of soil NO3- levels. The device exhibited good reliability with a % bias of 0.9% and a precision of 1.95%.
Article
Chemistry, Analytical
Shubin Zhou, Qiuming Cheng, David C. Weindorf, Biying Yang, Zhaoxian Yuan, Jie Yang
Summary: This research explores the feasibility of using portable X-ray fluorescence spectrometry to quantify trace element concentrations in organic materials and establishes calibration and regression models for matrix effect correction and concentration prediction.
JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY
(2022)
