CRISPR-associated Plasmonic Colorimeter Method (Ca-PCM): A real-time RGB detection system for gold nanoparticles-based nucleic acid biosensors.

Background: The detection of genetic sequences represents the gold standard procedure for species discrimination, genetic characterisation of tumours, and identification of pathogens. The development of new molecular detection methods, accessible and cost effective, is of great relevance. Biosensors based on plasmonic nanoparticles, such as gold nanoparticles (AuNPs), provide a powerful and versatile platform for highly sensitive, economic, user-friendly and label-free sensing.

Common pitfalls in oncology drug applications aiming for conditional marketing authorization.

Early approval mechanisms, such as conditional approval in the EU, have been used extensively to provide timely access to therapeutic innovations to cancer patients with unmet medical needs. While based on promising early evidence, such approvals are challenging from many perspectives due to the lack of comprehensive data. The limitation typically relates to data that demonstrates clinical benefit via early endpoints and is only acceptable when the early evidence is particularly convincing to assume that the benefits of early access are greater than the potential harms.

Multiscale Thermal Analysis of Gold Nanostars in 3D Tumor Spheroids: Integrating Cellular-Level Photothermal Effects and Nanothermometry via X-Ray Spectroscopy.

In the pursuit of enhancing cancer treatment efficacy while minimizing side effects, near-infrared (NIR) photothermal therapy (PTT) has emerged as a promising approach. By using photothermally active nanomaterials, PTT enables localized hyperthermia, effectively eliminating cancer cells with minimal invasiveness and toxicity. Among these nanomaterials, gold nanostars (AuNS) stand out due to their tunable plasmon resonance and efficient light absorption.

Accelerated succession in Himalayan alpine treelines under climatic warming.

Understanding how climate change influences succession is fundamental for predicting future forest composition. Warming is expected to accelerate species succession at their cold thermal ranges, such as alpine treelines. Here we examined how interactions and successional strategies of the early-successional birch (Betula utilis) and the late-successional fir (Abies spectabilis) affected treeline dynamics by combining plot data with an individual-based treeline model at treelines in the central Himalayas.

The strong seasonality of soil microbial community structure in declining Mediterranean pine forests depends more on soil conditions than on tree vitality.

The soil microbiome plays an important role in forest functioning. However, the impact of drought-induced dieback and tree death on soil microbial biomass, community structure, and functional composition is unknown. We also lack understanding on how soil microbiota varies seasonally in such declining stands.