用于双模加密和深度学习荧光成像的Yb3+优化核壳结构发光材料。

IF 3.3 2区 物理与天体物理 Q2 OPTICS
Optics letters Pub Date : 2025-10-01 DOI:10.1364/OL.569475
Dongdong Li, Qianqian Zhang, Qi Fan, Tongju Zheng, Zhiyu Zhang, Jiangbo She
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引用次数: 0

摘要

采用水热和外延相结合的方法制备了NaYF4:Yb3+, Nd3+Ln3+ (Er3+, Tm3+)@NaYF4:Yb3+核壳上转换发光材料。在980 nm激光激发下,制备的NaYF4:Yb3+、Nd3+、Er3+@NaYF4:Yb3+ UCL材料分别能发出绿光,NaYF4:Yb3+、Nd3+、Tm3+@NaYF4:Yb3+ UCL材料分别能发出蓝光。在优化的Yb3+掺杂浓度下,发光强度比原子核分别提高了16.54倍和17.56倍。防伪油墨是使用所得到的UCL材料作为其来源成分。首先,通过精确的丝网印刷技术,我们制作了QR码图案,展示了核壳UCL材料独特的发光特性。同时,我们实现了一个基于莫尔斯电码的点线组合模式来演示实际应用。开发了结构(莫尔斯电码模式)和信息(QR码)加密相结合的多级安全特性,显著提高了信息保护的可靠性。在PyCharm平台上开发残差神经网络,构建雪花模式分类识别模型。该识别系统的分类准确率达到96.55%,在先进的防伪认证应用中具有较大的技术优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Yb3+-optimized core-shell structured luminescent material for dual-mode encryption and deep learning fluorescence imaging.

NaYF4:Yb3+, Nd3+Ln3+ (Er3+, Tm3+)@NaYF4:Yb3+ core-shell upconversion luminescent (UCL) materials were prepared by combining the hydrothermal and epitaxial growth methods. Under the excitation of 980 nm laser, the prepared NaYF4:Yb3+, Nd3+, Er3+@NaYF4:Yb3+ UCL materials can emit green light, and NaYF4:Yb3+, Nd3+, Tm3+@NaYF4:Yb3+ UCL materials can emit blue light, respectively. Under the optimized Yb3+ doping concentration, the luminescence intensity was enhanced by 16.54 and 17.56 times compared to the nucleus, respectively. Anti-counterfeiting ink was made using the resulting UCL materials as its source ingredient. First, through precise screen-printing techniques, we fabricated QR code patterns that demonstrated the unique luminescent characteristics of the core-shell UCL materials. Also, we implemented a Morse code-based dot-line combination pattern to demonstrate the practical application. Multi-level security features integrating structural (Morse code patterns) and information (QR codes) encryption were developed, significantly enhancing information protection reliability. Furthermore, a snowflake-patterned categorization recognition model was constructed through a residual neural network developed on PyCharm platform. This recognition system achieved 96.55% classification accuracy, demonstrating substantial technical advantages for advanced anti-counterfeiting authentication applications.

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来源期刊
Optics letters
Optics letters 物理-光学
CiteScore
6.60
自引率
8.30%
发文量
2275
审稿时长
1.7 months
期刊介绍: The Optical Society (OSA) publishes high-quality, peer-reviewed articles in its portfolio of journals, which serve the full breadth of the optics and photonics community. Optics Letters offers rapid dissemination of new results in all areas of optics with short, original, peer-reviewed communications. Optics Letters covers the latest research in optical science, including optical measurements, optical components and devices, atmospheric optics, biomedical optics, Fourier optics, integrated optics, optical processing, optoelectronics, lasers, nonlinear optics, optical storage and holography, optical coherence, polarization, quantum electronics, ultrafast optical phenomena, photonic crystals, and fiber optics. Criteria used in determining acceptability of contributions include newsworthiness to a substantial part of the optics community and the effect of rapid publication on the research of others. This journal, published twice each month, is where readers look for the latest discoveries in optics.
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