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Correction: Malachite green: a long-buried water-soluble AIEgen with near-infrared fluorescence for living cell nucleus staining.
Chem Commun (Camb)
October 2024
Guangdong Key Laboratory of Nanomedicine, CAS-HK Joint Lab of Biomaterials, CAS Key Laboratory of Biomedical Imaging Science and System, Shenzhen Engineering Laboratory of Nanomedicine and Nanoformulations, CAS Key Lab for Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P. R. China.
Correction for 'Malachite green: a long-buried water-soluble AIEgen with near-infrared fluorescence for living cell nucleus staining' by Yuan Luo , , 2024, , 1452-1455, https://doi.org/10.1039/D3CC05535C.
View Article and Find Full Text PDFA self-calibrating flexible SERS substrate incorporating PB@Au assemblies for reliable and reproducible detection.
Analyst
July 2024
Institute of Health Sciences, China Medical University, Shenyang, 110122, China.
The precise quantitative analysis using surface-enhanced Raman spectroscopy (SERS) in an uncontrollable environment still faces a significant obstacle due to the poor reproducibility of Raman signals. Herein, we propose a facile method to fabricate a self-calibrating substrate based on a flexible polyvinyl alcohol (PVA) film comprising assemblies of Prussian blue (PB) and Au NPs (PB@Au) for reliable detection. PB cores were coated with an Au shell through simple electrostatic interaction, forming core-shell nanostructure PB@Au assemblies within the PVA film.
View Article and Find Full Text PDFA smartphone image-based method for the colorimetric characterization of historical pigments in mural paintings.
MethodsX
June 2024
Department of Analytical Chemistry, Faculty of Chemistry, University of Valencia. C/Dr. Moliner, 50, Burjassot, 46100, Spain.
In this article, the detailed description of a smartphone-based analytical method to turn a smartphone into a colorimeter is described and applied to mural painting replicas. The method consists of a camera characterization process, to estimate CIELAB values from RGB camera responses, correcting for potential experimental interferences, like the effect of the lighting/capture geometry or software for color modification and enhancement. Next, the estimated CIELAB descriptors were used to build a chemometric Support Vector Classifier to objectively distinguish among the colors of the different pigments.
View Article and Find Full Text PDFCorrection: Mobile Phone Technology for Preventing HIV and Related Youth Health Problems, Sexual Health, Mental Health, and Substance Use Problems in Southwest Uganda (Youth Health SMS)- Protocol for a Pilot Randomized Controlled Trial.
JMIR Res Protoc
January 2024
Heilbrunn Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, NY, United States.
[This corrects the article DOI: 10.2196/49352.].
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