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Water-soluble, fluorescent carbon dots (CDs) have been successfully synthesized from waste paper. The as-prepared CDs, with an amorphous structure and small particle size, exhibit good photostability, high photoluminescence quantum yields (PLQYs) and fairly low toxicity, which indicate potential applications in the field of biolabelling. [ABSTRACT FROM AUTHOR]

Highly photoluminescent ZnSe/Au nanocomposites have been prepared via a simple low-temperature-aqueous synthesis and direct coupling approach. The mechanism of surface plasmons enhanced photoluminescence of ZnSe/Au nanocomposites is investigated. Furthermore, due to high photostability and biocompatibility, the as-prepared ZnSe/Au nanocomposites are demonstrated as excellent probes in cellular imaging. [ABSTRACT FROM AUTHOR]

Abstract: The Ni doped CuAlO2 films were prepared by sol–gel on single crystal quartz substrates. The photoconductivity and transmittivity of as-prepared thin films were demonstrated to be influenced by the different Ni concentration. Experimental results indicate that the film with 3at% Ni concentration has a good transmission of 75% in the visible light range and a preferable photoconductivity 3.1×10−2 Scm−1 in 100mW/cm2 illumination. It can be attributed to the changing of the hole carrier concentration and carrier mobility after Ni doping. The small polaron theory and crystal structure distortion were proposed to explain such results. Calculated by the fitted formula, the response time of rise time and the decay time are 75ms and 50ms respectively, and the photosensitiveness is 215%, which provide the possibility for further application. [Copyright &y& Elsevier]

Water-soluble carbon dots (CDs) have been successfully synthesized by green-one-pot hydrothermal method. The CDs with small particle size exhibit fairly good water solubility, tunable photoluminescence, up-converted photoluminescence, and low toxicity. What is more, the as-prepared CDs were successfully applied in the field of cell image. [ABSTRACT FROM AUTHOR]

The preoperative Gleason grade group (GG) from transrectal ultrasound-guided prostate biopsy is crucial for treatment decisions but may underestimate the postoperative GG and miss clinically significant prostate cancer (csPCa), particularly in patients with biopsy GG1. In such patients, an SUV max of at least 12 has 100% specificity for detecting csPCa. In patients with an SUV max of less than 12, we aimed to develop a model to improve the diagnostic accuracy of csPCa. Methods: The study retrospectively included 56 prostate cancer patients with transrectal ultrasound-guided biopsy GG1 and an SUV max of less than 12 from 2 tertiary hospitals. All [ 68 Ga]Ga-PSMA-HBED-CC PET scans were centrally reviewed in Xijing Hospital. A deep learning model was used to evaluate the overlap of SUV max (size scale, 3 cm) and the level of Gleason pattern (size scale, 500 μm). A diagnostic model was developed using the PRIMARY score and SUV max , and its discriminative performance and clinical utility were compared with other methods. The 5-fold cross-validation (repeated 1,000 times) was used for internal validation. Results: In patients with GG1 and an SUV max of less than 12, significant prostate-specific membrane antigen (PSMA) histochemical score (H-score) H-score overlap occurred among benign gland, Gleason pattern 3, and Gleason pattern 4 lesions, causing SUV max overlap between csPCa and non-csPCa. The model of 10 × PRIMARY score + 2 × SUV max exhibited a higher area under the curve (AUC, 0.8359; 95% CI, 0.7233-0.9484) than that found using only the SUV max (AUC, 0.7353; P = 0.048) or PRIMARY score (AUC, 0.7257; P = 0.009) for the cohort and a higher AUC (0.8364; 95% CI, 0.7114-0.9614) than that found using only the Prostate Imaging Reporting and Data System (PI-RADS) score of 5-4 versus 3-1 (AUC, 0.7036; P = 0.149) and the PI-RADS score of 5-3 versus 2-1 (AUC, 0.6373; P = 0.014) for a subgroup. The model reduced the misdiagnosis of the PI-RADS score of 5-4 versus 3-1 by 78.57% (11/14) and the PI-RADS score of 5-3 versus 2-1 by 77.78% (14/18). The internal validation showed that the mean 5-fold cross-validated AUC was 0.8357 (95% CI, 0.8357-0.8358). Conclusion: We preliminarily suggest that the model of 10 × PRIMARY score + 2 × SUV max may enhance the diagnostic accuracy of csPCa in patients with biopsy GG1 and an SUV max of less than 12 by maximizing PSMA information use, reducing the misdiagnosis of the PI-RADS score, and thereby aiding in making appropriate treatment decisions., (© 2023 by the Society of Nuclear Medicine and Molecular Imaging.)