Friday, May 23, 2025

Lotions, perfumes curb potentially harmful effects of human oxidation field, study finds


UC Irvine scientist supported research by creating state-of-the-art chemical model


University of California - Irvine





Irvine, Calif., May 21, 2025  In a paper published today in Science Advances, researchers at the University of California, Irvine, Germany’s Max Planck Institute for Chemistry, Pennsylvania State University and other international institutions report that the application of personal care products such as fragrances and body lotions suppresses a potentially unhealthy “human oxidation field” that exists around our bodies.

 

This zone, which was the subject of a paper by the same team published in Science in 2022, is created when oils and fats on skin react with ozone, an important oxidant in the indoor environment. Combined with emissions from cooking, cleaning, smoking, interior paint, rugs and furnishings and the introduction of ozone transported from outdoors, this close-to-body region – in which highly reactive compounds called hydroxyl radicals are present – has the potential to substantially impact indoor air quality and human exposure to indoor pollutants.

 

In the paper, the researchers report that body lotion hinders the generation of a key hydroxyl radical precursor by acting as a physical barrier between ozone in the air and squalene – a naturally occurring oil – on skin. They also found that ethanol solvent in fragrances acts as a hydroxyl radical sink, which reduces the strength of the human oxidation field.

 

Co-corresponding author Manabu Shiraiwa, UC Irvine professor of chemistry, led the creation of a multiphase chemical kinetic model and collaborated with researchers at Penn State to build a computational fluid dynamics model to demonstrate how concentrations of the reactive components accrue indoors.

 

“Our team took a unique approach to simulate concentrations of chemical compounds near humans in the indoor environment,” Shiraiwa said. “We developed a state-of-the-art chemical model that can simulate reactions of ozone with human skin and clothing that can lead to the formation of [hydroxyl radicals] and semi-volatile organic compounds.”

 

The authors said that their findings have substantial implications for indoor air chemistry, the air quality of occupied spaces and human health since many of the chemicals in our immediate vicinity are transformed by the human oxidation field.

 

“If we buy a sofa from major furniture company, it’s tested for harmful emissions before being put on sale. However, when we sit on the sofa, we naturally transform some of these emissions because of the oxidation field we generate,” said lead author Jonathan Williams, who heads the study of organic reactive species at the Max Planck Institute for Chemistry. “This can create many additional compounds in our breathing zone whose properties are not well known or studied. Interestingly, body lotion and perfume both seem to dampen down this effect.”

 

The work was part of the Indoor Chemical Human Emissions and Reactivity project, which brought together collaborators from Denmark, Germany and the United States. Computer modeling was provided by the Modelling Consortium for Chemistry of Indoor Environments, based at UC Irvine and led by Shiraiwa. Both efforts were funded by grants from the Alfred P. Sloan Foundation.

 

About the University of California, Irvine: Founded in 1965, UC Irvine is a member of the prestigious Association of American Universities and is ranked among the nation’s top 10 public universities by U.S. News & World Report. The campus has produced five Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. Led by Chancellor Howard Gillman, UC Irvine has more than 36,000 students and offers 224 degree programs. It’s located in one of the world’s safest and most economically vibrant communities and is Orange County’s second-largest employer, contributing $7 billion annually to the local economy and $8 billion statewide. For more on UC Irvine, visit www.uci.edu.

 

Media access: Radio programs/stations may, for a fee, use an on-campus studio with a Comrex IP audio codec to interview UC Irvine faculty and experts, subject to availability and university approval. For more UC Irvine news, visit news.uci.edu. Additional resources for journalists may be found at https://news.uci.edu/media-resources.

 

Vitamin D supplements show signs of protection against biological aging



Mass General Brigham
Vitamin D Supplements Show Signs of Protection Against Biological Aging 

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JoAnn Manson, MD, and other VITAL faculty and staff at a research team meeting at BWH.

 

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Credit: JoAnn Manson, Brigham and Women's Hospital





Results from the VITAL randomized controlled trial reveal that vitamin D supplementation helps maintain telomeres, protective caps at the ends of chromosomes that shorten during aging and are linked to the development of certain diseases. The new report, which is published in The American Journal of Clinical Nutrition, is based on data from a VITAL sub-study co-led by researchers at Mass General Brigham and the Medical College of Georgia, and supports a promising role in slowing a pathway for biological aging. 

“VITAL is the first large-scale and long-term randomized trial to show that vitamin D supplements protect telomeres and preserve telomere length,” said co-author JoAnn Manson, MD, principal investigator of VITAL and chief of the Division of Preventive Medicine at Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare system. “This is of particular interest because VITAL had also shown benefits of vitamin D in reducing inflammation and lowering risks of selected chronic diseases of aging, such as advanced cancer and autoimmune disease.” 

Telomeres are made of repeating sequences of DNA, or base pairs, that prevent chromosome ends from degrading or fusing with other chromosomes. Telomere shortening is a natural part of aging and is associated with an increased risk of various age-related diseases. 

A few short-term, small-scale studies have suggested that vitamin D or omega 3 fatty acid supplementation may help support telomeres, but results have been inconsistent. VITAL is a randomized, double-blind, placebo-controlled trial of vitamin D3 (2,000 IU/day) and omega 3 fatty acid (1 g/day) supplementation that tracked U.S. females aged 55 years and older and males aged 50 years and older for five years. The VITAL Telomere sub-study included 1,054 of these participants, whose telomere length in white blood cells was assessed at baseline and at Year 2 and Year 4.  

Compared with taking placebo, taking vitamin D3 supplements significantly reduced telomere shortening over four years, preventing the equivalent of nearly three years of aging compared with placebo. Omega 3 fatty acid supplementation had no significant effect on telomere length throughout follow-up. 

 “Our findings suggest that targeted vitamin D supplementation may be a promising strategy to counter a biological aging process, although further research is warranted,” said Haidong Zhu, PhD, first author of the report and a molecular geneticist at the Medical College of Georgia, Augusta University. 

Authorship: In addition to Manson, Mass General Brigham authors include Nancy R. Cook, William Christen, and I-Min Lee. Additional authors include Haidong Zhu, Bayu B. Bekele, Li Chen, Kevin J. Kane, Ying Huang, Wenju Li, and Yanbin Dong. 

Disclosures: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.  


Funding: This work was supported by the National Heart, Lung and Blood Institute (R01 HL131674-01). The parent VITAL trial is supported by R01 AT011729. The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report as well as in the decision to submit the paper for publication. 

Paper cited: Zhu H et al. et al. “Vitamin D3 and Marine Omega-3 Fatty Acids Supplementation and Leukocyte Telomere Length: 4-Year Findings from the VITAL Randomized Controlled Trial” AJCN DOI: 10.1016/j.ajcnut.2025.05.003 

For More Information:  

 

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About Mass General Brigham 

Mass General Brigham is an integrated academic health care system, uniting great minds to solve the hardest problems in medicine for our communities and the world. Mass General Brigham connects a full continuum of care across a system of academic medical centers, community and specialty hospitals, a health insurance plan, physician networks, community health centers, home care, and long-term care services. Mass General Brigham is a nonprofit organization committed to patient care, research, teaching, and service to the community. In addition, Mass General Brigham is one of the nation’s leading biomedical research organizations with several Harvard Medical School teaching hospitals. For more information, please visit massgeneralbrigham.org. 

 

Illinois study: Novel AI methodology improves gully erosion prediction and interpretation




University of Illinois College of Agricultural, Consumer and Environmental Sciences
Three individuals standing outside in front of a building and a blooming tree 

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Illinois researchers Maria Chu, Jeongho Han, and Jorge Guzman used a AI-driven approach to predict and understand gully erosion susceptibility in agricultural fields.

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Credit: Marianne Stein, University of Illinois




URBANA, Ill. – Gully erosion is the most severe form of soil erosion, and it can seriously impact agricultural fields, contributing to sediment loss and nutrient runoff into waterways. Gullies can be triggered suddenly by a single heavy rainfall event, creating deep channels that are difficult to rehabilitate even with heavy machinery. Accurately predicting where gully erosion is likely to occur allows agricultural producers and land managers to target their conservation efforts more effectively.

In a new studyUniversity of Illinois Urbana-Champaign researchers use a new AI-driven approach that combines machine learning with an interpretability tool to enhance the prediction of gully formation and understanding of these models. They tested the methodology on land in Jefferson County, Illinois. 

“We had conducted a previous study in the same area, but we applied only an individual machine learning model to predict gully erosion susceptibility. While that study provided a baseline understanding, it had limited predictive accuracy. Furthermore, we were not able to explain how the model made predictions. This research aims to address these two key limitations,” said lead author Jeongho Han, who recently graduated with a doctoral degree from the Department of Agricultural and Biological Engineering (ABE), part of the College of Agricultural, Consumer and Environmental Sciences and The Grainger College of Engineering at Illinois.

Jefferson County is part of the Big Muddy River watershed feeding into Rend Lake. This region features rolling topography and is about 60% agricultural land, primarily used for growing corn and soybeans. The researchers prepared gully erosion inventory maps of the study area based on elevation differences from 2012 and 2015. They also identified 25 environmental variables that can affect erosion susceptibility, including topography, soil properties, vegetation features, and precipitation patterns.

Complex environmental processes, such as terrain, soil, hydrology, and atmospheric forces, cause gully erosion, and they are challenging to predict and manage. Machine learning models are increasingly used in erosion prediction, but their accuracy can vary significantly. 

Stacking multiple models together can improve performance, but adding more models is not enough; it matters how they are combined. The research team evaluated 44 stacked models that combined different features from single models.

Next, they created gully erosion susceptibility maps using the best-performing stacking model and four individual models. They found that the best stacking model achieved a prediction accuracy of 91.6%, compared to 86% for the best individual model.

To enhance model transparency, the team employed an explainable artificial intelligence (AI) technique called SHapley Additive exPlanations (SHAP). This tool clarifies how different variables influence a model's output, offering deeper insight into AI systems' decision-making process.

“When you use AI modeling, you get an output, but it’s like a black box. You don’t know how it was determined, so you don’t have any criteria to evaluate the results. Explainable AI provides metrics that allow you to understand how different variables influence model predictions and how they interact with one another,” said corresponding author Jorge Guzman, research assistant professor in ABE.

“We integrated a stacking model with SHAP and applied it to a specific land area to demonstrate how it would work. The stacking model improved prediction accuracy, and SHAP helped to interpret what happened within the AI models.”

For example, the SHAP analysis identified the annual leaf area index of crops as the most influential feature in all base models. Greater leaf coverage reduces the direct impact of rainfall on soil, which in turn decreases the severity of erosion.

The proposed framework enables agricultural producers and land managers to interpret AI-model outputs. They can use this information to decide which areas should be managed first and what management practices should be implemented to mitigate soil erosion.

“By offering a transparent mechanism to evaluate how different features and models contribute to final decisions, this approach can be extended to broader environmental management and policy-making contexts, facilitating more informed and responsible resource allocation,” the researchers conclude in the paper.

The paper, “Prediction of gully erosion susceptibility through the lens of the SHapley Additive exPlanations (SHAP) method using a stacking ensemble model,” is published in the Journal of Environmental Management [DOI: 10.1016/j.jenvman.2025.125478]. Authors are Jeongho Han, Jorge Guzman, and Maria Chu. This research was funded by the US Department of Agriculture through the National Institute for Food and Agriculture (NIFA) award number 2019-67019-29884.

 

Climate change poses severe threat to bowhead whale habitat




University of Adelaide
Bowhead whale credit Kit Kovacs and Christian Lydersen - Norwegian Polar Institute 

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A bowhead whale swimming in Arctic waters.

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Credit: Credit: Kit Kovacs and Christian Lydersen, Norwegian Polar Institute.





New research examining 11,700 years of bowhead whale persistence throughout the Arctic projects that sea ice loss due to climate change will cause their habitat to severely contract by up to 75 per cent.

An international team led by researchers from the University of Adelaide and the University of Copenhagen reconstructed an 11,700-year ecological baseline for bowhead whales, which are a threatened Arctic native species.

Using computer models, fossils, and whaling records, the team mapped the location and size of suitable summer foraging habitat for bowhead whales over the entire Holocene, finding that until recently it remained constant despite significant climatic fluctuations.

However, they predict that future climate change will erode somewhere between 65-75 per cent of this foraging habitat by the end of the 21st century. In the Sea of Okhotsk, which is home to one of only four populations of bowhead whales, viable summer habitat is likely to vanish entirely by 2060.

The reason for the decline is the collapse of a tight association between bowhead whales and summer sea ice cover.

“Bowhead whales have preferred to forage amongst sea ice for many millennia,” said lead author Mr Nicholas Freymueller, from the University of Adelaide’s Environment Institute and the University of Copenhagen’s Globe Institute.

“However, Arctic sea ice has declined significantly in recent decades, and this is set to accelerate in coming decades, causing habitats where bowhead whales currently congregate in large numbers to be lost.”

The team also found that the few patches of suitable bowhead habitat predicted to remain in the year 2100 will exist outside their current distribution, directly impacting conservation policies.

“By identifying the extent and location of bowhead whale habitat that is likely to be lost in coming decades, our projections provide vital information to guide future management efforts of this emblematic species,” said Professor Eline Lorenzen, from the University of Copenhagen’s Globe Institute.

Bowhead whales are still recovering from four centuries of commercial whaling. They are considered emblematic because the ongoing threats they face are reflective of those which all Arctic marine mammal species face due to climate change.

“By using ecological models and paleo-archives to reconstruct pre-whaling distributions of bowhead whales, we were able to develop a much stronger understanding of the habitat preferences of this species that was nearly hunted to extinction,” said senior author Associate Professor Damien Fordham, from the University of Adelaide’s Environment Institute.

“This gives us improved confidence in our projections of habitat loss.”

The study, published in Ecology and Evolution, shows how past perspectives can strengthen predictions of species’ future vulnerability to rapid ocean warming.

The University of Adelaide and the University of South Australia are joining forces to become Australia’s new major university – Adelaide University. Adelaide University will open its doors in January 2026. Find out more on the Adelaide University website.

Scientists reveal how deep-earth carbon movements shape continents and diamonds


Chinese Academy of Sciences Headquarters

Schematic illustration showing the role of slab carbonatite melts on mantle redox states, sublithospheric diamond formation, and craton evolution under nonplume and plume scenarios 

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Schematic illustration showing the role of slab carbonatite melts on mantle redox states, sublithospheric diamond formation, and craton evolution under nonplume and plume scenarios. 

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Credit: Image by Prof. XU Yigang's group





A new study published in Science Advances by researchers from the Guangzhou Institute of Geochemistry of the Chinese Academy of Sciences (GIG-CAS), along with international collaborators, reveals that deeply subducted carbonates can cause significant variations in the redox states of Earth's mantle. This process influences the formation of sublithospheric diamonds and plays a role in the long-term evolution of cratons—ancient stable parts of the continental lithosphere.

The research team conducted high-pressure experiments simulating depths between 250 and 660 kilometers to investigate how carbonatite melts, derived from subducted slabs, interact with metallic iron-bearing mantle rocks. Their findings indicate that in "nonplume" environments (cooler mantle settings), carbonatite melts undergo progressive reduction, leading to the formation of immobile diamonds that help stabilize the craton. Conversely, under hotter, plume-influenced conditions, the carbonatite melts tend to oxidize the surrounding mantle, which weakens the lithosphere and may trigger lithosphere delamination, surface uplift, and widespread volcanic activity.

"The redox state of the deep mantle is a critical factor controlling how volatiles, such as carbon, cycle between Earth's surface and its interior," said Prof. YU Wang, the study's corresponding author. "Our experiments show that the fate of subducted carbon is heavily influenced by mantle temperature and redox conditions, shaping continent evolution over geological time."

By comparing the composition of minerals formed in their experiments with natural diamond inclusions from cratons in Africa and South America, the researchers found clear evidence that different mantle environments produce distinctly different redox signatures. These variations directly determine whether subducted carbon forms stable diamonds or contributes to lithospheric destabilization.

This study not only advances our understanding of deep carbon storage and mobility in Earth's interior but also has implications for interpreting the ages of diamond formation and predicting craton stability in response to future tectonic events.

The study was primarily supported by the National Natural Science Foundation of China, the National Key R&D Program of China, and the Strategic Priority Research Program of CAS.

Journal

DOI

Mathematical prediction of seismic wave propagation in magma containing crystals and bubbles




University of Tsukuba





Tsukuba, Japan—A recent study has mathematically clarified how the presence of crystals and gas bubbles in magma affects the propagation of seismic P-waves. The researchers derived a new equation that characterizes the travel of these waves through magma, revealing how the relative proportions of crystals and bubbles influence wave velocity and waveform properties.

The ratio of crystals to bubbles in subterranean magma reservoirs is crucial for forecasting volcanic eruptions. Due to the inaccessibility of direct observations, scientists analyze seismic P-waves recorded at the surface to infer these internal characteristics. Previous studies have predominantly focused on the influence of gas bubbles, with limited consideration given to crystal content. Moreover, conventional models have primarily addressed variations in wave velocity and amplitude decay, without capturing detailed waveform transformations.

In this study, the researchers developed a new equation from integrating two distinct mathematical models of magma flow. The results show that P-wave velocity decreases as the proportion of bubbles increases relative to crystals, with bubbles exerting a more significant influence than crystals. Conversely, attenuation effects were found to be more strongly affected by crystals. The analysis further revealed that waveform characteristics depend on frequency and bubble content, with discernible differences emerging between the two underlying models.

The new equation enables the time-dependent calculation of P-waveforms based on the bubble and crystal content in magma. Looking ahead, the research team intends to integrate this model with machine learning techniques to estimate the internal composition of magma from observed P-waveforms, with the goal of enhancing the accuracy of volcanic eruption prediction systems.

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This study was partially supported by the JSPS KAKENHI (Nos. 21J20389 and 22K03898), by the JKA and its promotion funds from the KEIRIN RACE, and by a Komiya Research Grant from the Turbomachinery Society of Japan. This study was partly based on the results obtained from a project subsidized by the New Energy and Industrial Technology Development Organization (NEDO) (No. JPNP20004). This work was also partially supported by the Top Runners in Strategy of Transborder Advanced Research (TRiSTAR) program conducted as part of the Strategic Professional Development Program for Young Researchers by MEXT.
 

Original Paper

Title of original paper:
Weakly nonlinear wave propagation in magma containing crystals and bubbles

Journal:
Physics of Fluids

DOI:
10.1063/5.0251612

Correspondence

Associate Professor KANAGAWA, Tetsuya
Institute of Systems and Information Engineering, University of Tsukuba

Related Link

Institute of Systems and Information Engineering