Research Radar

Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma

Abstract Circulating tumor DNA (ctDNA) detection can predict clinical risk in early-stage tumors. However, clinical applications are constrained by the sensitivity of clinically validated ctDNA detection approaches. NeXT Personal...

115

The TRIPOD-LLM reporting guideline for studies using large language models

640

Artificial intelligence in drug development

509

CellChat for systematic analysis of cell–cell communication from single-cell transcriptomics

1,226

Development of the design and synthesis of metal–organic frameworks (MOFs) – from large scale attempts, functional oriented modifications, to artificial intelligence (AI) predictions

The design and synthesis of MOFs have evolved from traditional large-scale approaches to function-oriented modifications, and recently to AI predictions, which save time, reduce costs, and enhance the efficiency to achieving target functions.

277

A practical approach to quantitative analytical surface-enhanced Raman spectroscopy

The high sensitivity, molecular specificity and speed of analysis make SERS an attractive analytical technique. This review draws out the underlying principles for analytical SERS and provides practical tips and tricks for SERS quantitation.

112

Surface-enhanced Raman spectroscopy: a half-century historical perspective

This review comprehensively presents the fifty-year journey of surface-enhanced Raman spectroscopy (SERS), covering its discovery, pivotal phases, innovative methods, and key inspirations from the pioneers and trailblazers.

369

Interfacial fluid manipulation with bioinspired strategies: special wettability and asymmetric structures

Bioinspired fluid manipulating interfaces possessing special wettability, an asymmetric structure, and a geometric gradient were systematically reviewed, including history, classification, mechanisms, fabrication and applications.

121

Cu-based S-scheme photocatalysts

This review provides an overview of the research advances in Cu-based S-scheme photocatalysts, including historical development, design principles, advanced characterization, potential photocatalytic applications, and limitations.

303

Fine-tuning the hierarchical morphology of multi-component organic photovoltaics via a dual-additive strategy for 20.5% efficiency

The dual-additive strategy forms balanced crystallization and phase separation, with a record efficiency of 20.52% (certified 19.92%) achieved.

121

Emerging strategies for the large-scale fabrication of perovskite solar modules: from design to process

This review illustrates a summary from the PSM structure design to applications, including deposition processes, advanced material strategies, and encapsulation methods for long stability.

123

Face-on oriented self-assembled molecules with enhanced π–π stacking for highly efficient inverted perovskite solar cells on rough FTO substrates

4PABCz molecules with asymmetric structures form dense coverage on FTO substrates owing to their robust multilayered structure with strong intermolecular π–π stacking and face-on configuration for efficient charge transport.

263

Recent technological advances in food packaging: sensors, automation, and application

The advancements in the food packaging sector include smart sensors for detecting freshness, automation for efficiency, and sustainable applications for enhancing food safety and quality.

114

Red analytical performance index (RAPI) and software: the missing tool for assessing methods in terms of analytical performance

Although performing validation of an analytical method is a widely accepted standard, assessing and comparing the overall analytical potential covering all validation criteria is not straightforward.

187

Worth your sweat: wearable microfluidic flow rate sensors for meaningful sweat analytics

This review focuses on recent microfluidic flow rate sensing methods for reliable sweat sensing, covering physiological relevance and providing technical insights.

Crafting the architecture of biomass-derived activated carbon via electrochemical insights for supercapacitors: a review

Escalating energy demands have often ignited ground-breaking innovations in the current era of electrochemical energy storage systems.

A review of large language models and autonomous agents in chemistry

This review examines the roles of large language models (LLMs) and autonomous agents in chemistry, exploring advancements in molecule design, property prediction, and synthesis automation.

283

Potassium escaping balances the degree of graphitization and pore channel structure in hard carbon to boost plateau sodium storage capacity

This work revealed the dual beneficial roles of potassium, acting as a self-template to create pore channels and balancing the degree of graphitization.

Transfer dynamics of photo-generated carriers in catalysis

Carrier transfer plays the crucial role that dominates the overall photo-assisted catalytic performance. Understanding carrier transfer dynamics through various advancing characterizations can offer insights for developing high-performance catalysts.

188

Unraveling the structure–performance relationship in hard carbon for sodium-ion battery by coupling key structural parameters

New insights into the structure–performance relationship in hard carbon by coupling key structural parameters based on integrating theoretical computations and experimental data were proposed.

160