Sers Spectrum(频谱)研究综述
Sers Spectrum 频谱 - The possibility of detecting cancer DNA based on its SERS spectrum was validated on peripheral blood genomic DNA samples from n = 17 AML patients and n = 17 control samples, yielding an overall classification of 82% based on the 1005 cm−1 band of 5-methylcytosine. [1] Through the analysis of several peaks in the SERS spectrum, the polar angle from the membrane normal is found to be 63°, and the roll angle around the long axis of the molecule to be 305° from the original orientation. [2] Exploiting the dependence of the SERS spectrum on the protonation degree of the carboxylic group at the edge of the 4MBA molecules, we derived a calibration curve for the nanosensor. [3] Polystyrene (PS) nanospheres can be recognized from the SERS spectrum while passing through the single nanopore. [4] With this approach, the SERS spectrum of sulfite was obtained with a detection limit of 5 μmol/L in diamond anvil cell (DAC) at ∼50 MPa. [5] The interfacial CT process can be evaluated quantitatively by the ρCT in SERS spectrum. [6] Through the analysis of several peaks in the SERS spectrum, the polar angle from the membrane normal is found to be 66°, and the roll angle around the long axis of the molecule to be 305° from the original orientation. [7] Thereafter, the SERS spectrum of 2,4-D extract from milk with different concentrations based on the developed SERS sensor was collected and the spectra were analyzed by partial least squares (PLS), and variable selection algorithms - genetic algorithm-PLS (GA-PLS), competitive-adaptive reweighted sampling-PLS (CARS-PLS) and ant colony optimization-PLS (ACO-PLS), to develop quantitative models for 2,4-D prediction. [8] Moreover, SERS spectrum was recorded and analyzed and provided information about the adsorption behavior of the amikacin on the silver nanoparticles surface. [9] The characteristic peaks of the SERS spectrum were identified, and both the calculated vibrational wavenumbers and the Raman intensity pattern were considered. [10] Strong enhancement of surface-enhanced Raman spectroscopy (SERS) bands pertaining to adenine and the bathochromic shift of the normal Raman band due to the adenine ring breathing mode observed at 722 cm−1 in the spectrum of adenine, to 732 cm−1 in the SERS spectrum of aqueous adenine-pyridoxine indicates that the complex adsorbs onto the Ag nanoparticle surface with the adenine portion possessing a perpendicular orientation. [11] Comparing the SERS spectra and normal Raman scattering (NRS) spectra, the intensity of the O⋯H bending vibration peak was found to be clearly enhanced, and a new C O peak appeared in the SERS spectrum. [12] A substantial change of the SERS spectrum of 4-MBA was observed and a new peak at 1641 cm−1 appeared. [13] SERS spectrum of SC adsorbed on the AgCl/Ag NPD excited at 632 nm, which is energetically closer to the coupled plasmon peak at 605 nm, showed some unexplained vibrational peaks. [14] SERS spectrum from those who developed early biochemical recurrence were compared to those who remained biochemical recurrence-free. [15] The spectrum sensing is a key process of the cognitive radio technology in which the cognitive users identify the unutilized/underutilized primary users (PUs)/licensed users spectrum for its efficient utilization. [16]在 n = 17 例 AML 患者和 n = 17 例对照样品的外周血基因组 DNA 样本中验证了基于 SERS 谱检测癌症 DNA 的可能性，基于 1005 cm-1 带的 5-甲基胞嘧啶。 [1] 通过对 SERS 光谱中的几个峰的分析，发现与膜法线的极角为 63°，绕分子长轴的滚动角与原始方向的角为 305°。 [2] 利用 SERS 光谱对 4MBA 分子边缘羧基的质子化程度的依赖性，我们得出了纳米传感器的校准曲线。 [3] 聚苯乙烯 (PS) 纳米球在穿过单个纳米孔时可以从 SERS 光谱中识别出来。 [4] 通过这种方法，在~50 MPa的金刚石砧座（DAC）中获得了亚硫酸盐的SERS光谱，检测限为5 μmol/L。 [5] 界面 CT 过程可以通过 SERS 光谱中的 ρCT 进行定量评估。 [6] 通过对 SERS 光谱中几个峰的分析，发现与膜法线的极角为 66°，绕分子长轴的滚动角与原始方向的角为 305°。 [7] 此后，基于开发的 SERS 传感器采集了不同浓度牛奶 2,4-D 提取物的 SERS 光谱，并通过偏最小二乘法 (PLS) 和变量选择算法-遗传算法-PLS (GA- PLS)、竞争自适应重加权采样-PLS (CARS-PLS) 和蚁群优化-PLS (ACO-PLS)，以开发用于 2,4-D 预测的定量模型。 [8] 此外，记录和分析 SERS 光谱并提供有关阿米卡星在银纳米粒子表面的吸附行为的信息。 [9] 确定了 SERS 光谱的特征峰，并考虑了计算的振动波数和拉曼强度模式。 [10] 与腺嘌呤有关的表面增强拉曼光谱 (SERS) 谱带和正常拉曼谱带的红移是由于在腺嘌呤光谱中的 722 cm-1 处观察到的腺嘌呤环呼吸模式，到 732 cm-1水性腺嘌呤-吡哆醇的 SERS 光谱表明复合物吸附在 Ag 纳米颗粒表面，腺嘌呤部分具有垂直取向。 [11] 对比SERS光谱和正常拉曼散射（NRS）光谱，发现O⋯H弯曲振动峰的强度明显增强，并且在SERS光谱中出现了一个新的CO峰。 [12] 观察到 4-MBA 的 SERS 光谱发生了显着变化，并在 1641 cm-1 处出现了一个新峰。 [13] 吸附在 AgCl/Ag NPD 上的 SC 的 SERS 光谱在 632nm 处激发，在能量上更接近于 605nm 处的耦合等离子体峰，显示出一些无法解释的振动峰。 [14] 将早期生化复发患者的 SERS 光谱与保持无生化复发的患者进行比较。 [15] 频谱感知是认知无线电技术的一个关键过程，其中认知用户识别未使用/未充分使用的主用户（PU）/许可用户频谱以进行有效利用。 [16]