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Droplets are ubiquitous and necessary in natural phenomena, daily life, and industrial processes, which play a crucial role in many fields. So, the manipulation of droplets has been extensively investigated for meeting widespread applications, consequently, a great deal of progresses have been achieved across multiple disciplines ranging from chemistry to physics, material, biological, and energy science. For example, microdroplets have been utilized as reactors, colorimetric or electrochemical sensors, drug-delivery carriers, and energy harvesters. Moreover, droplet manipulation is the basis in both fundamental researches and practical applications, especially the combination of smart materials and external fields for achieving multifunctional applications of droplets. In view of this background, this review initiates discussion of the manipulation strategies of droplets including Laplace pressure, wettability gradients, electric field, magnetic force, light and temperature. Thereafter, based on their manipulation strategies, this review mainly summarizes the applications of droplets in the fields of robot, green energy, sensors, biomedical treatments, microreactors and chemical reactions. Application related basic concepts, theories, principles and progresses also have been introduced. Finally, this review addresses the challenges of manipulation and applications of droplets and provides the potential directions for their future development. By presenting these results, we aim to provide a comprehensive overview of water droplets and establish a unified framework that guides the development of droplets in various fields.
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http://dx.doi.org/10.1016/j.cis.2025.103490 | DOI Listing |
Langmuir
September 2025
ThAMeS Multiphase, Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, U.K.
The evaporation of surfactant-laden sessile droplets has widespread applications in both natural and technological contexts. This study explores the evaporation of droplets containing a nonionic surfactant (tristyrylphenol ethoxylates (EOT)), an anionic surfactant (sodium benzenesulfonate with alkyl chain lengths of C-C (NaDDBS)), and their mixtures at / mole ratios of 0.01, 0.
View Article and Find Full Text PDFCell Mol Life Sci
September 2025
Department of Gastroenterology, The Second Hospital of Shandong University, Jinan, China.
Metabolic associated steatohepatitis (MASH) is a severe form of metabolic dysfunction-associated steatotic liver disease (MASLD) characterized by hepatocellular injury, inflammation, and fibrosis. Despite advances in understanding its pathophysiology, the molecular mechanisms driving MASH progression remain unclear. This study investigates the role of long non-coding RNA Linc01271 in MASLD/MASH pathogenesis, ant its involvement in the miR-149-3p/RAB35 axis and PI3K/AKT/mTOR signaling pathway.
View Article and Find Full Text PDFNanoscale
September 2025
School of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Metal matrix composites are widely employed in aerospace and marine engineering due to their excellent mechanical properties and chemical stability. However, their surfaces remain vulnerable to corrosion, icing, and mechanical wear, severely compromising long-term reliability in harsh environments. Inspired by natural superhydrophobic surfaces such as lotus leaves, functional interfaces with high water repellency and interfacial stability can be engineered through the synergistic design of hierarchical micro/nanostructures and low-surface-energy chemical modifications.
View Article and Find Full Text PDFAn integrated approach is proposed to rapidly evaluate the effects of anticancer treatments in 3D models, combining a droplet-based microfluidic platform for spheroid formation and single-spheroid chemotherapy application, label-free morphological analysis, and machine learning to assess treatment response. Morphological features of spheroids, such as size and color intensity, are extracted and selected using the multivariate information-based inductive causation algorithm, and used to train a neural network for spheroid classification into viability classes, derived from metabolic assays performed within the same platform as a benchmark. The model is tested on Ewing sarcoma cell lines and patient-derived xenograft (PDX) cells, demonstrating robust performance across datasets.
View Article and Find Full Text PDFAnal Sci Adv
December 2025
Chinese Academy of Quality and Inspection & Testing Beijing China.
Single-cell analysis provides critical insights into cellular heterogeneity, dynamic behaviours and microenvironmental interactions, driving advancements in precision medicine and disease mechanism research. However, traditional technologies face limitations due to low throughput, insufficient sensitivity and bottlenecks in multi-omics integration. Microdroplet printing technology, with its advantages in high-throughput single-cell encapsulation, picolitre-level reaction precision and oil-free phase contamination avoidance, has propelled single-cell analysis into a new era of high-throughput and high-dimensional resolution through deep integration with multimodal detection platforms.
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