This paper has demonstrated the resonance fluorescence enhancement of R6G when gold nanoparticles (Au NPs) deposited in the porous Si photonic crystal device. Both of microcavity (MC) and distributed Bragg reflector (DBR) with different parameters are investigated for making the photon transmission of photonic crystal device play an optimal role in enhancing fluorescence resonance. While minor changes were observed on the DBR substrates, a significant change in the intensity of enhanced fluorescence varies with the defect modes of MC substrates. Particularly, the strongest enhancement has been presented as the MC defect mode wavelength located at the maximum absorption wavelength of Au NPs. In this case, the fluorescence intensity of R6G on MC device is 2.5 times of that of R6G based on DBR device.

几乎所有小的气相分子（如H2O, CO2等）均具有独特的近红外吸收光谱, 在负压条件下, 每种微小的气相分子都拥有一对一的特征光谱线, 基于这一原理人们开始使用激光光谱（IRIS）技术来准确分析气体样品中的同位素组成。 该方法克服了传统同位素比质谱（isotope ratio mass spectrometry, IRMS）方法的局限性, 已经成为公认的高精度、 高灵敏度和高准确度的痕量气体检测方法。 以大气水汽稳定同位素研究为例, 大气水汽稳定同位素组成对水汽源区及其通道上的输送过程等水循环研究有着重要的指示意义。 激光光谱技术使得大气水汽氢氧稳定同位素（δ18O和δD）野外原位连续高分辨率观测成为可能。 但是, 其观测精度和准确度受仪器运作特点、 不同浓度大气水汽对特定光谱吸收性的敏感性差异等因素的影响, 通常观测结果具有明显的非线性响应问题。 因此, 有必要对仪器观测过程中出现的各种偏差进行校正, 但现阶段许多用户对新观测技术的国际校正方法尚不清楚。 因此, 基于波长扫描-光腔衰荡光谱（WS-CRDS）技术的大气水汽同位素观测系统（Picarro L2120-i）, 通过可调谐二极管激光器（Tunable Diode Laser, TDL）发射可被待测气体分子所吸收的不同波长的激光, 测量不同波长下的衰荡时间（即有样品吸收的衰荡时间）; TDL发射不能被待测气体吸收的不同波长的激光, 测量每个波长下的衰荡时间（相当于无样品吸收的衰荡时间）。 通过分析有无样品吸收的衰荡时间差, 高精度计算待测气体的分子浓度, 进而计算水汽稳定同位素组成。 从记忆效应、 漂移效应、 浓度效应等方面, 系统建立了一套准确可靠的大气水汽稳定同位素观测流程与校正方法, 为正在使用或将要使用此类设备的研究人员提供参考, 以获得高精度和高可靠性的大气水汽稳定同位素观测数据。

In this paper, we mainly study the preparation of an optical biosensor based on porous silicon (PSi) Bragg mirror and its feasibility for biological detection. The quantum dot (QD) labeled biotin was pipetted onto streptavidin functionalized PSi Bragg mirror samples, the affinity reaction between QD labeled biotin and streptavidin in PSi occurred, so the QDs were indirectly connected to the PSi. The fluorescence of QD enhanced the signal of biological reactions in PSi. The performance of the sensor is verified by detecting the fluorescence of the QD in PSi. Due to the fluorescence intensity of the QDs can be enhanced by PSi Bragg mirror, the sensitivity of the PSi optical biosensor will be improved.

设计了一种高精度、高线性度、轻小型激光脉冲飞行时间测量模块。结合TDC7201芯片在时间测量方面的优势, 将其作为时间测量核心部分, 并将STM32F103RET6微控制器作为主控芯片来控制整个模块的工作。实验结果表明, 该模块在12 ns~100 s时间间隔范围内的时间测量精度最高可达4.1 ps; 测量结果的线性拟合相关系数为1, 且能够测量激光脉冲主波与5个回波之间的时间间隔。该模块可满足基于硅光电倍增管(Silicon Photomultiplier, SiPM)的脉冲式激光测距系统的高精度、高线性度、多回波、轻量化等实际应用需求。

In this paper, we mainly study the preparation of an optical biosensor based on porous silicon (PSi) Bragg mirror and its feasibility for biological detection. The quantum dot (QD) labeled biotin was pipetted onto streptavidin functionalized PSi Bragg mirror samples, the affinity reaction between QD labeled biotin and streptavidin in PSi occurred, so the QDs were indirectly connected to the PSi. The fluorescence of QD enhanced the signal of biological reactions in PSi. The performance of the sensor is verified by detecting the fluorescence of the QD in PSi. Due to the fluorescence intensity of the QDs can be enhanced by PSi Bragg mirror, the sensitivity of the PSi optical biosensor will be improved.

同色异谱现象是光谱反射率重建与颜色再现中的一个重要问题。 采用三基色CCD相机采集CIE标准光源D65下的颜色样品信号, 建立非线性复合模型, 使用主成分分析结合神经网络的方法（PCA-NET）改进基于同色异谱黑理论的R矩阵算法, 对标准Munsell色卡光谱重建进行研究。 在保证给定照明条件下的色度精度同时, 对光谱重建的结果进行了实验评价和讨论。 实验结果表明, 在给定的照明条件下, PCA-NET算法能够准确的拟合相机输出信号与主成分系数之间的非线性关系, 将其代替线性算法应用于R矩阵算法中时, 测试集的平均均方根值是未改进R矩阵算法的0.76, 平均标准差是R矩阵算法的0.85, 可有效提高光谱反射率的重建精度。 改进后的R矩阵算法具有精度较高、 操作简单易实现的特点, 可用于对重建色度精度及光谱精度均要求较高的领域。