Thursday, July 31, 2025

 

4,000-year-old teeth record the earliest traces of people chewing psychoactive betel nuts



New methods make the ‘invisible visible’ to find evidence of deeply rooted cultural practice which otherwise might have been lost in the archaeological record




Frontiers

Burials at Nong Ratchawat 

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Archaeological burials with associated artifacts at Nong Ratchawat. Credit: Piyawit Moonkham.

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Credit: Piyawit Moonkham





In south-east Asia, betel nut chewing has been practiced since antiquity. The plants contain compounds that enhance the consumer’s alertness, energy, euphoria, and relaxation. Although the practice is becoming less common in modern times, it has been deeply embedded in social and cultural traditions for thousands of years. Chewing betel nuts typically results in dark, reddish-brown to black stained teeth.

Yet, teeth without staining may not mean that people didn’t chew betel nuts. Now, using a new method, an international team of researchers examined ancient dental plaque from Bronze Age Thailand and found evidence of betel nut chewing.

“We identified plant derivatives in dental calculus from a 4,000-year-old burial at Nong Ratchawat, Thailand,” said first author of the Frontiers in Environmental Archaeology study Dr Piyawit Moonkham, an anthropological archaeologist at Chiang Mai University in Thailand. “This is the earliest direct biomolecular evidence of betel nut use in south-east Asia.”

“We demonstrate that dental calculus can preserve chemical signatures of psychoactive plant use for millennia, even when conventional archaeological evidence is completely absent,” added Dr Shannon Tushingham, the senior author, who is the associate curator of anthropology at the California Academy of Sciences. “In essence, we’ve developed a way to make the invisible visible—revealing behaviors and practices that have been lost to time for 4,000 years.”

Hidden in plaque

At Nong Ratchawat, an archaeological site in central Thailand that dates back to the Bronze Age, 156 human burials have been unearthed since 2003. For the present study, the team collected 36 dental calculus samples from six individuals.

Back in the lab, they removed tiny amounts of plaque from the samples and the chemical residues found therein underwent analysis. The team also used betel liquid samples they produced themselves to ensure psychoactive compounds could be reliably detected through their analysis and to understand the complex biochemical interactions between ingredients. “We used dried betel nut, pink limestone paste, Piper betel leaves, and sometimes Senegalia catechu bark and tobacco. We ground the ingredients with human saliva to replicate authentic chewing conditions,” Moonkham said. “Sourcing materials and experimentally ‘chewing’ betel nuts to create authentic quid samples was both a fun and interesting process.”

The results showed that three of the archaeological samples – all stemming from a molar of the same individual, Burial 11 – contained traces of arecoline and arecaidine. These organic compounds, found in betel nuts but also plants like coffee, tea, and tobacco, have pronounced physiological effects on humans. This suggests that betel nuts were chewed as early as 4,000 years ago in Thailand.

‘Archaeologically invisible’ proof

“The presence of betel nut compounds in dental calculus does suggest repeated consumption, as these residues become incorporated into mineralized plaque deposits over time through regular exposure,” explained Tushingham. Accordingly, the absence of tooth-staining raises questions. It could be the result of different consumption methods, the team pointed out. It could also be due to post-consumption teeth cleaning practices, or post-mortem processes affecting stain preservation over 4,000 years.

While traces of betel nut chewing were found in samples from only one individual, there is currently no proof that Burial 11 received special treatment or was of elevated social status or unique ritual significance compared to the other burials at Nong Ratchawat. The presence of stone beads as grave goods, however, could provide hints as to the individual's identity or lived experience. Studying more individuals at Nong Ratchawat and other local sites to learn when and to whom such grave goods were given could provide valuable evidence, the team said.

The methods the researchers applied can be used to examine the remaining burials at Nong Ratchawat and at other sites, they said. “Dental calculus analysis can reveal behaviors that leave no traditional archaeological traces, potentially revolutionizing our understanding of ancient lifeways and human-plant relationships,” Tushingham said. “It could open new windows into the deep history of human cultural practices.”

“Understanding the cultural context of traditional plant use is a larger theme we want to amplify—psychoactive, medicinal, and ceremonial plants are often dismissed as drugs, but they represent millennia of cultural knowledge, spiritual practice, and community identity,” Moonkham concluded. “Archaeological evidence can inform contemporary discussions by honoring the deep cultural heritage behind these practices.”

Modern betel quid ingredients: Piper betle leaf, areca nut (Areca catechu L.), limestone paste, tobacco (Nicotiana tabacum L.), and Senegalia catechu bark filaments. 

Red liquid produced after chewing betel quid. Credit: Piyawit Moonkham

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Piyawit Moonkham

LET ME TAKE YOU HIGHER (HIGHER)

Efficient solar harvesting even in high humidity



KIMS developed high-efficiency, durable perovskite solar cell technology stable even in high-humidity conditions



National Research Council of Science & Technology

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Conceptual diagram of material and process technology enabling the production of high-efficiency, high-durability flexible perovskite solar cells in various humidity conditions across all four seasons

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Credit: Korea Institute of Materials Science (KIMS)




The Energy & Environment Materials Research Division of the Korea Institute of Materials Science (KIMS), led by Dr. Dong-chan Lim and Dr. So-yeon Kim, has developed a highly durable flexible perovskite solar cell material and fabrication process that remains stable even under high humidity conditions. This breakthrough enables the production of high-efficiency solar cells in ambient air without the need for expensive equipment, offering the potential for significant cost reductions in manufacturing.

Perovskite has attracted attention as a next-generation material capable of replacing conventional silicon solar cells due to its excellent light absorption, low production cost, and ability to be fabricated into thin, flexible films. However, its vulnerability to moisture has posed a major hurdle to commercialization. As a result, manufacturing has typically required low-humidity environments or inert gas conditions. Furthermore, ensuring mechanical durability when producing perovskite in a flexible form has remained a significant challenge.

To address these challenges, the research team introduced a defect passivation strategy by utilizing two-dimensional (2D) perovskite materials to sandwich the light-absorbing layer of the solar cell from both the top and bottom. As a result, they successfully fabricated high-efficiency, durable flexible solar cells that operate stably even under relative humidity conditions of up to 50%. The solar cells also demonstrated outstanding stability, retaining over 85% of their efficiency after 2,800 hours of operation. Furthermore, the devices maintained 96% of their initial efficiency after 10,000 bending cycles, and preserved 87% efficiency in extreme shear-sliding tests, validating their mechanical robustness.

This achievement demonstrates a technology for fabricating perovskite solar cells without the need for expensive temperature- and humidity-controlled environments, while also exhibiting one of the highest levels of mechanical stability among flexible solar cells developed to date. Notably, the technology has also proven its scalability by being successfully applied to large-area continuous production processes, enhancing its potential for commercialization. It is expected that this advancement will accelerate the growth of the rollable solar cell and wearable electronics markets, while also promoting the industrialization of large-scale manufacturing processes and strengthening international competitiveness in solar energy technology.

Dr. Dong-chan Lim, the lead researcher at KIMS, stated, “With this technology, it is now possible to manufacture high-efficiency perovskite solar cells in ambient air without costly equipment, significantly reducing production costs.” He added, “In particular, the exceptional durability of the flexible devices makes them promising candidates for applications in wearable electronics and vehicle-integrated solar power systems.”

This research was funded by the National Research Council of Science & Technology (NST), the National Research Foundation of Korea (NRF), and the Switzerland-Korea joint research project (SuraFlexi). It was conducted in collaboration with domestic and international research teams, including the University of Fribourg (Switzerland), Pusan National University, and Pukyong National University. The research findings were published on May 31 in the prestigious journal Chemical Engineering Journal (first author: Ph.D. candidate Mr. Fadhil).

In addition to this technology, the research team plans to continue developing next-generation solar cell materials that offer excellent durability across various domestic and international environments while reducing production costs. The team also aims to further advance large-area solar cell processing technologies to reach full commercialization.

High-efficiency and high-durability perovskite solar cell that remains stable even in high-humidity environments. The cell appears thin and flexible

Credit

Korea Institute of Materials Science (KIMS)

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About Korea Institute of Materials Science(KIMS)

 

KIMS is a non-profit government-funded research institute under the Ministry of Science and ICT of the Republic of Korea. As the only institute specializing in comprehensive materials technologies in Korea, KIMS has contributed to Korean industry by carrying out a wide range of activities related to materials science including R&D, inspection, testing&evaluation, and technology support.

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DOI

Article Title

 

Heavy drinking raises the risk of undesired pregnancy; cannabis use does not





Society for the Study of Addiction





A new study has found that, among women with a high desire to avoid becoming pregnant, those who drank heavily had a 50% higher risk of becoming pregnant than those who drank moderately or not at all.  In contrast, participants who used cannabis were no more likely to have an undesired pregnancy than participants who did not use cannabis.

From a larger sample of over 2,000 non-pregnant women aged 15-34, researchers identified a subgroup of 936 who didn't want to get pregnant.  Within that subgroup, 429 reported heavy drinking (as measured using a standard alcohol screening questionnaire) and 362 reported using cannabis (including 157 who reported daily or almost daily use).

Those who drank heavily and those who used cannabis frequently had a higher overall desire to avoid pregnancy, compared with participants who drank moderately or not at all and participants who did not use cannabis.

Over the course of one year, 71 of the 936 women who most wanted to avoid pregnancy became pregnant.  More than half of those undesired pregnancies (38) occurred among those who drank heavily, more than the combined number for those who drank moderately or not at all.  In other words, heavy drinking was associated with a higher risk of undesired pregnancy compared with lower levels of drinking.

In contrast, less than half of the 71 undesired pregnancies (28) occurred among people who used cannabis, meaning that those who used cannabis did not show an elevated risk of undesired pregnancy compared with people who did not use cannabis. 

Lead author Dr Sarah Raifman, of the University of California, San Francisco, School of Medicine, comments: “This study made two important findings.  First, non-pregnant women who drink heavily appear, on average, to have a higher desire to avoid pregnancy than those who drink moderately or not at all.  Second, drinking heavily as opposed to moderately or not at all appears to put those who most want to avoid pregnancy at higher risk of becoming pregnant within one year. Finding out why those pregnancies happen is the next step in our research.”

“In the meantime, given the potentially life-altering effects of fetal alcohol spectrum disorders (which occur when a fetus is exposed to alcohol through the mother’s drinking) and the fact that the risk of FASD increases with the amount and duration of the mother’s drinking, it's important for doctors and clinicians to support women who drink heavily to stop drinking as soon as they suspect an unintentional pregnancy.”

-- Ends –

For editors:

This Open Access paper is available on the Wiley Online Library after the embargo has lifted (https://onlinelibrary.wiley.com/doi/10.1111/add.70135) or you may request an early copy from Jean O’Reilly, Editorial Manager, Addictionjean@addictionjournal.org.

To speak with lead author Dr Sarah Raifman, please contact her at the University of California San Francisco by email (sarah.raifman@ucsf.edu).

Full citation for article: Raifman S, Roberts SCM, and Rocca CH. Alcohol and drug use and attainment of pregnancy preferences in the southwestern United States: a longitudinal cohort study.  Addiction. 2025. DOI: 10.1111/add.70135

Primary funding:  This study was funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01-HD108643) and by the National Institute on Alcohol Abuse and Alcoholism (F31AA028988).

Declaration of interests: None.

Addiction (www.addictionjournal.org) is a monthly international scientific journal publishing peer-reviewed research reports on alcohol, substances, tobacco, gambling, editorials, and other debate pieces. Owned by the Society for the Study of Addiction, it has been in continuous publication since 1884.

 

Decoding the blue: Advanced Technology realizes potential in harmful algal bloom monitoring




University of Birmingham
Algal bloom 

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Example of algal bloom in a body of water

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Credit: Aneika Leney, University of Birmingham, 2025




Researchers at the University of Birmingham have developed a powerful new method to detect harmful blue-green algae in freshwater lakes. Their method, which involves advanced mass spectrometry technology, can identify toxin producing blue-green algae before they become damaging in recreational waters and pose threat to public health.

Blue-green algae (scientifically named as cyanobacteria) are micro-organisms commonly found in ponds, lakes, and oceans worldwide. In optimum growth conditions, they can form huge “blooms” that appear like green slime covering the surface of the water.

Although these blooms are extremely effective at carbon capture and oxygen production, certain varieties produce toxins that are harmful for aquatic life, animals and humans.

Published in the Journal of The American Chemical Society, the groundbreaking study analysed samples from lakes across the UK and found that lakes differ in their blue-green algae content.

Unlike traditional methods such as microscopy or genetic sequencing, the new approach focussed on the blue component of the blue-green algae. The researchers from the School of Biosciences and the School of Chemical Engineering noticed that blue-green algae’s blue component differed subtly in size between different cyanobacterial species. This enabled them to discriminate between blue-green algae that produces toxins and those that do not.

Jaspreet Sound, PhD researcher at the University of Birmingham and first author of the paper commented: “Our approach is quick and really sensitive, so can be used to monitor how all the cyanobacteria are competing for growth within lake water prior to the domination of a single toxic strain emerging.”

The technique can also simultaneously detect the presence of the toxins, known as cyanotoxins, which are known to cause liver damage and neurological effects in humans and animals.

Dr Tim Overton, Reader in Microbial Biotechnology at the School of Chemical Engineering at the University of Birmingham, commented: "The new technique advances existing approaches and will not only help improve water quality for human use but also plays a role in understanding how to protect critical wetland environments.”

Dr Aneika Leney, Associate Professor of Biological Mass Spectrometry at the University of Birmingham and senior author of the study commented: "As climate change increases, so will the variability and complexity of bloom dynamics, so the ability to identify bloom composition and toxin presence will help us make data-driven decisions about water use restrictions, treatment, and public health advisories.” 

The technology impacts several UN Sustainable Development Goals, such as Clean Water and Sanitation and Good Health and Wellbeing, which aim to improve human lives and protect the environment by tackling the effects of climate change. Lakes frequently have toxin levels exceeded World Health Organization (WHO) guidelines for drinking water, highlighting the urgent need for early detection tools to protect both the public and local ecosystems. The team believe their mass spectrometry technique could play a vital role in protecting water quality and public health in the coming years.

 

How plants are learning to spot sneaky bacterial invaders



With help from AI, researchers upgraded plants’ internal alarm system to fend off pathogens




University of California - Davis

Diseased potato plant 

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Ralstonia solanacearum in a potato plant. The bacterium destroys the vascular system in plants, causing them to succumb to wilt disease.

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Credit: Amilcar Sanchez Perez





Scientists at the University of California, Davis, used artificial intelligence to help plants recognize a wider range of bacterial threats — which may lead to new ways to protect crops like tomatoes and potatoes from devastating diseases. The study was published in Nature Plants. 

Plants, like animals, have immune systems. Part of their defense toolkit includes immune receptors, which give them the ability to detect bacteria and defend against it. One of those receptors, called FLS2, helps plants recognize flagellin — a protein in the tiny tails bacteria use to swim. But bacteria are sneaky and constantly evolving to avoid detection. 

"Bacteria are in an arms race with their plant hosts, and they can change the underlying amino acids in flagellin to evade detection," said lead author Gitta Coaker, professor in the Department of Plant Pathology. 

To help plants keep up, Coaker’s team turned to using natural variation coupled with artificial intelligence — specifically AlphaFold, a tool developed to predict the 3D shape of proteins and reengineered FLS2, essentially upgrading its immune system to catch more intruders. 

The team focused on receptors already known to recognize more bacteria, even if they weren’t found in useful crop species. By comparing them with more narrowly focused receptors, the researchers were able to identify which amino acids to change. 

“We were able to resurrect a defeated receptor, one where the pathogen has won, and enable the plant to have a chance to resist infection in a much more targeted and precise way,” Coaker said.

Why it matters

Coaker said this opens the door to developing broad-spectrum disease resistance in crops using predictive design.

One of the researchers’ targets is a major crop threat: Ralstonia solanacearum, the cause of bacterial wilt. Some strains of the soil-borne pathogen can infect more than 200 plant species, including staple crops like tomato and potato.

Looking ahead, the team is developing machine learning tools to predict which immune receptors are worth editing in the future. They’re also trying to narrow down the number of amino acids that need to be changed.

This approach could be used to boost the perception capability of other immune receptors using a similar strategy.

Other authors of the study include Tianrun Li, Esteban Jarquin Bolaños, Danielle M. Stevens and Hanxu Sha of UC Davis and Daniil M. Prigozhin of Lawrence Berkeley National Laboratory.

The research was supported by the National Institutes of Health and the United States Department of Agriculture’s National Institute for Food and Agriculture.

 

High-resolution satellite remote sensing reveals underestimated methane emissions from global landfills




Chinese Academy of Sciences Headquarters




Methane is a potent greenhouse gas with a much stronger short-term effect on warming than carbon dioxide. Over the near-term (20 years), one ton of methane has the warming effect of up to 84 tons of carbon dioxide, while over a hundred years, one ton of methane has the warming effect of about 28 tons of carbon dioxide. For this reason, controlling methane emissions is a high priority in limiting warming.

Addressing methane emissions from landfills is particularly important since they account for 18% of global anthropogenic methane emissions. Unfortunately, traditional landfill methane monitoring—relying on ground measurements and modeling—has long been limited by sparse coverage, low accuracy, and high fieldwork costs.  

Now a research team led by Prof. CHENG Tianhai from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences has made a breakthrough by developing a high-resolution satellite remote sensing method to quantify global methane emissions from landfills. The team's findings were published in Nature Climate Change on July 28.

The new approach uses satellite data with 30-meter spatial resolution and 10-nanometer spectral resolution, combined with a matched filter algorithm and enhanced integrated mass method. This allowed the team to identify and measure 367 distinct methane plumes (feather-like structures formed as methane disperses) across 102 landfills worldwide, enabling precise global quantification of emission rates.

"Satellite remote sensing delivers consistent, high-resolution global quantification that traditional methods can't match," said Prof. CHENG, the study's corresponding author. "Our tool boosts both accuracy and coverage, offering a new means of global methane surveillance—critical for informing international mitigation policies."

To validate their method, the researchers compared satellite-derived data with airborne measurements (previously verified via ground observations), finding strong alignment that confirmed reliability.

Their analysis focused on two primary landfill types: open dumps (lacking containment) and engineered sanitary landfills. Results showed open dumps emit 4.8 times more methane on average—a first-of-its-kind global assessment linking waste management practices to emission levels.

The team also found that the widely used Emissions Database for Global Atmospheric Research (EDGAR), developed by the EU, underestimates emissions from high-polluting open dumps by roughly fivefold on average.

"Our work provides a basis for correcting such biases in current inventories," noted TONG Haoran, the study's first author and a PhD candidate at AIR.

Building on these findings, the researchers urge strengthened international efforts to improve landfill infrastructure and waste management, as well as development of a global satellite data-sharing platform to ensure equitable access—especially for resource-limited nations—to information supporting greenhouse gas mitigation.