Nonlinear absorption of metal-halide perovskite nanocrystals (NCs) makes them an ideal candidate for applications which require multiphoton-excited photoluminescence. By doping perovskite NCs with lanthanides, their emission can be extended into the near-infrared (NIR) spectral region. We demonstrate how the combination of Yb doping and bandgap engineering of cesium lead halide perovskite NCs performed by anion exchange (from Cl to Br) leads to efficient and tunable emitters that operate under two-photon excitation in the NIR spectral region. By optimizing the anion composition, Yb-doped CsPbClBr NCs exhibited high values of two-photon absorption cross-section reaching 2.3 × 10 GM, and displayed dual-band emission located both in the visible (407-493 nm) and NIR (985 nm). With a view of practical applications of bio-visualisation in the NIR spectral range, these NCs were embedded into silica microspheres which were further wrapped with amphiphilic polymer shells to ensure their water-compatibility. The resulting microspheres with embedded NCs could be easily dispersed in both toluene and water, while still exhibiting a dual-band emission in visible and NIR under both one- and two-photon excitation conditions.
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http://dx.doi.org/10.1039/d4nr00892h | DOI Listing |
Theor Appl Genet
January 2025
Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE - Le Moulon, 91190, Gif-sur-Yvette, France.
Phenomic selection based on parental spectra can be used to predict GCA and SCA in a sparse factorial design. Prediction approaches such as genomic selection can be game changers in hybrid breeding. They allow predicting the genetic values of hybrids without the need for their physical production.
View Article and Find Full Text PDFAdv Healthc Mater
January 2025
Harvard Medical School, Harvard University, Boston, MA, 02115, USA.
Ultra-broadband photodetectors (UB-PDs) are essential in medical applications, public safety monitoring, and various other fields. However, developing UB-PDs covering multiple bands from ultraviolet to medium infrared remains a challenge due to material limitations. Here, a mixed-dimensional heterojunction composed of 2D WS/monodisperse hexagonal stacking (MHS) 3D PdTe particles on 3D Si is proposed, capable of detecting light from 365 to 9600 nm.
View Article and Find Full Text PDFFoods
January 2025
Zhejiang Provincial Key Laboratory for Water Environment and Marine Biological Resources Protection, College of Life and Environmental Science, Wenzhou University, Wenzhou 325035, China.
, an edible seaweed, plays a crucial role in our daily lives by providing essential nutrients, including minerals, to the human body. The detection of mineral content during different growth stages of benefits the goals of ensuring product quality, meeting diverse consumer needs, and achieving quality classification. Currently, the determination of minerals in primarily relies on inductively coupled plasma mass spectrometry and other methods, which are time-consuming and labor-intensive.
View Article and Find Full Text PDFFoods
January 2025
College of Food Science, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
The feasibility of the two methodologies was confirmed to compare the results of determining mung bean origins using Raman and Near-Infrared (NIR) spectroscopy. Spectra from mung beans collected in Baicheng City, Jilin Province; Dorbod Mongol Autonomous, Tailai County, Heilongjiang Province; and Sishui County, Shandong Province, China, were analyzed. We established a traceability model using Principal Component Analysis combined with the K-nearest neighbor method to compare the efficacy of these methods in discriminating the origins of the mung beans.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2025
School of Pharmacy and Food Engineering, Wuyi University, Jiangmen 529020, PR China. Electronic address:
Variable selection is important in spectral analysis for improving interpretation quality and accuracy. This study introduces a novel variable selection process, named "VMHBSC", which consists of six steps, with each letter representing one step. To demonstrate its process and advantages, two datasets were employed, a mid-infrared spectral (MIR) dataset (234 × 7468, sample number × variables) of Chenpi samples (a traditional Chinese medicinal material derived from the dried peel of mature tangerines) and a near-infrared spectral (NIR) dataset (16000 × 256) for modeling competition.
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