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Cellulose nanocrystals (CNC) are the focus of significant attention in the broad area of sustainable technologies for possessing many desirable properties such as a large surface area, high strength and stiffness, outstanding colloidal stability, excellent biocompatibility and biodegradability, low weight and abundance in nature. Yet, a fundamental understanding of the micro- and nanoscale electrical charge distribution on nanocellulose still remains elusive. Here we present direct quantification and mapping of surface charges on CNCs at ambient condition using advanced surface probe microscopy techniques such as Kelvin probe force microscopy (KPFM), electrostatic force microscopy (EFM) and force-distance (F-D) curve measurements. We show by EFM measurements that the surface charge in the solid-state (as contrasted with liquid dispersions) present at ambient condition on CNCs provided by Innotech Alberta is intrinsically negative and the charge density is estimated to be 13 μC/cm. These charges also result in CNCs having two times the adhesive force exhibited by SiO substrates in adhesion mapping studies. The origin of negative surface charge is likely due to the formation of CNCs through sulfuric acid hydrolysis where sulfate half esters groups remained on the surface (Johnston et al., 2018).
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http://dx.doi.org/10.1016/j.carbpol.2020.116393 | DOI Listing |
Proc Natl Acad Sci U S A
September 2025
Soft Matter Sciences and Engineering, CNRS, École supérieure de Physique et de Chimie Industrielles de la Ville de Paris, Université Paris Sciences et Lettres, Sorbonne Université, Paris 75005, France.
The sliding motion of aqueous droplets on hydrophobic surfaces leads to charge separation at the trailing edge, with implications from triple-line friction to hydrovoltaic energy generation. Charges deposited on the solid surface have been attributed to ions or electrons ripped off from the liquid drop. However, the dynamics and exact physicochemical nature of these surface-trapped charges remains poorly explored.
View Article and Find Full Text PDFIsotopes Environ Health Stud
September 2025
School of Architecture and Environment, University of the West of England, Bristol, UK.
The natural tracers δO and δH are essential for tracing hydrological processes by identifying water sources, tracking evaporation loss and floodwater dynamics to enhance water management and flood mitigation strategies. This study employed this approach in the ephemeral, endorheic Cuvelai-Etosha Basin (CEB), spanning northern Namibia and southern Angola, to determine its viability in capturing spatial and temporal hydrological patterns, their timing and interactions during a medium flood condition (2017), and contrasted with a drought year (2014). During the 2017 wet season 219 grab surface water samples were collected from ephemeral waterbodies in four sampling campaigns (February, March, April and May) in addition to a single campaign in May 2014 (63 samples).
View Article and Find Full Text PDFAnal Chem
September 2025
State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China.
Deciphering the multicomponent of cell membranes at the single-cell level is critical for understanding pathological mechanisms such as tumor metastasis, yet remains technically daunting due to the membrane's nanoscale thickness and ultralow molecular abundance. Here, we introduce a surface-assisted vacuum ultraviolet laser desorption-ionization mass spectrometry imaging (SAVUVDI-MSI) platform that overcomes long-standing challenges of cytoplasmic interference and insufficient sensitivity. Leveraging the nanoscale depth profiling capability of VUV-LDI, we achieve precise ablation of a single-cell membrane.
View Article and Find Full Text PDFEnviron Sci Technol
September 2025
Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck St, Boston, Massachusetts 02115, United States.
Accurate attribution of the areas and populations impacted by climate-related events often relies on linear distance-based methods, where the study unit is assigned temperature data to the closest weather station. We developed a novel method and data pipeline that provides a grid-based measure of exposure to extreme heat and cold events called Grid EXposure (, enabling linkage to individual-level human health data at different spatial scales. GridEX automates the gathering of station-based climatological data and provides estimates of apparent temperature, offering a more comprehensive representation of human thermal comfort and perceived temperature.
View Article and Find Full Text PDFArch Microbiol
September 2025
Medical and Biological Computing Laboratory, School of Biosciences and Technology (SBST), Vellore Institute of Technology (VIT), Vellore, 632014, India.
Salmonella enterica serovar Typhi, the etiological agent of Typhoid fever, remains a critical public health concern associated with high morbidity in many developing countries. The widespread emergence of multidrug-resistant (MDR) Salmonella Typhi strains against the fluoroquinolone group of antibiotics, particularly ciprofloxacin, poses a significant global therapeutic challenge with underlying resistance due to mutations in quinolone-resistance determining region (QRDR) of gyrA gene, encoding DNA gyrase subunit A (GyrA). In pursuit of alternative therapeutic candidates, the present study was designed to evaluate ciprofloxacin analogues against prevalent GyrA mutations (S83F, D87G, and D87N) to overcome fluoroquinolone resistance through machine learning (ML)-based approach.
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