Anaerobic dry processing unlocks flavor precursors in Arabica coffee beans
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-Oct-2026 10:17 ET (27-Oct-2026 14:17 GMT/UTC)
A research team has mapped how four post-harvest processing methods reshape flavor precursors in Arabica coffee beans, showing that anaerobic fermentation—especially anaerobic fermentation dry processing—substantially increases key non-volatile metabolites linked to aroma, flavor, acidity, body, and balance.
A research team has identified a previously uncharacterized long non-coding RNA, lnc87821, that helps control how tea plants respond to salt and alkali stress by negatively regulating the stress-related gene CsJAZ2.
Peking University, July 20, 2026: A research team led by Professor Yang Yuchao of Peking University, together with researchers from the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, has developed the world’s first chip that can match the functioning speed of the human brain. The study, titled "A sub–10-millisecond neural dynamical system based on phase-change memristors," was published in Science.
As nations worldwide confront the urgent challenge of climate change, China's "Dual Carbon" goals prioritize significant decarbonization across all economic sectors. While industrial and energy sectors often receive primary attention, the agricultural sector, particularly livestock farming, represents a substantial source of potent greenhouse gases like methane (CH₄) and nitrous oxide (N₂O). Local governments in China have implemented stringent environmental regulations, such as "Livestock-Free Zones," to curb agricultural pollution. However, the overall effectiveness of these spatially targeted policies, especially regarding their potential to displace environmental burdens, remains a subject of considerable debate.
A recent study investigated the impacts of the "Livestock-Free Zone" policy in Guangdong Province, China's largest provincial economy. Researchers utilized county-level panel data from 2014 to 2023, employing a sophisticated combination of spatial Durbin models, continuous difference-in-differences models, and network analysis. This approach allowed for a precise quantification of the policy's local effects and any subsequent spatial spillover, addressing gaps in understanding policy-induced pollution transfers within land-intensive agricultural sectors and at subnational scales.
A review paper by scientists from Beijing Institute of Technology reviewed the theoretical foundations, key technologies, innovative applications, and future challenges of autonomous robots in precise drug delivery, a field with revolutionary potential.
The new research paper, published on Jun. 29 in the journal Cyborg and Bionic Systems, provided a hierarchical, function‑oriented framework that directly links microrobot design to the progressive physiological barriers encountered in vivo, from accessible body cavities to the most challenging immune‑privileged sites.
Methane (CH₄), a potent greenhouse gas, contributes significantly to climate forcing. While urban green infrastructure, such as green roofs, offers many environmental benefits, their capacity to mitigate CH₄ emissions has remained largely unexplored. New findings demonstrate that incorporating biochar, a carbon-rich material, into engineered green roof substrates substantially boosts their ability to absorb atmospheric methane. This discovery offers a promising avenue for strengthening climate resilience in urban environments.
Green Roofs: Beyond Aesthetics to Climate Action
Green roofs are gaining recognition for moderating building energy use, managing stormwater, and supporting urban biodiversity. They also act as important carbon sinks by storing carbon in vegetation and substrates. However, the exchange of non-CO₂ greenhouse gases, particularly CH₄, from these systems has received limited attention. Traditional green roof substrates, often rich in organic matter, can even promote localized CH₄ production. Quantifying and enhancing CH₄ exchange in these engineered systems is essential for maximizing their climate benefits.
Achieving omnidirectional multispectral compatible camouflage remains a significant challenge due to the pronounced disparities in electromagnetic wavelengths and constraints on the response mechanisms of natural materials. Herein, neural networks are employed to intelligently optimize the design of multiscale impedance-gradient (IG) metadevices tailored for multispectral compatibility. The macro-gradient unit is engineered with precise impedance matching and high rotational symmetry to provide exceptional microwave ultra-broadband absorption (2–18 GHz), with insensitivity angles reaching 60°. By integrating a polyimide foam substrate with an MXene-functionalized nanostructured photochromic top layer, the finalized device exhibits remarkable infrared thermal insulation (ΔT 65 °C) and low emissivity (0.38), alongside rapid visible color change (1 ~ 2 s) enabled by nanoscale photochromic switching. Furthermore, IG metadevices deliver programmability and multimodality, alongside impact resistance (~ 30,000 N) and environmental stability. This work provides novel paradigms for the intelligent design of multispectral compatible camouflage systems adaptable to complex scenarios.