糖类是典型的手性物质，其在太赫兹波段的手性光谱尚未得到充分研究。本文研究了乳糖、半乳糖、葡萄糖3种糖类在低温和常温下的折射率和吸收谱，并通过太赫兹时域偏振光谱检测，获得了这些样品的手性光谱。实验结果显示，糖类吸收会随着温度降低而减弱，低温下有利于获得样品的手性特征；在80 K温度下，葡萄糖在1.3~1.5 THz频段表现出很强的圆二色性(CD)，在1.39 THz处CD谱峰值达到44.97%；在1.6~1.8 THz频段内，3种糖类都具有特定的手性特征峰，CD值均超过20%。研究结果对进一步认识手性生化样品在太赫兹波段的手性光谱及其内在机制具有重要参考价值。
太赫兹光谱 手性光谱 糖类 温度 terahertz spectroscopy chiral spectra saccharides temperature 太赫兹科学与电子信息学报
2021, 19(5): 819
南京林业大学材料科学与工程学院, 江苏 南京 210037
碳微球作为一种新型碳材料, 具有较高的比表面积和电导率, 且表面富含羟基、 羧基、 羰基等活性基团, 这使碳微球在吸附、 催化剂载体、 电极电池等领域具有广泛的应用前景。 该研究通过水热法, 分别以生物质水解液(葡萄藤、 紫茎泽兰)、 糖(木糖、 葡萄糖、 蔗糖)为碳源制备碳微球。 使用场发射扫描电子显微镜(field emission scanning electron microscope, FE-SEM)、 衰减全反射红外光谱(attenuated total reflection fourier transform infrared spectroscopy, ATR-FTIR)和光电子能谱(X-ray photoelectron spectroscopy, XPS)对不同碳源碳微球的表观形貌及光谱学性质进行表征。 并对红外光谱指纹特征区域(2000~800 cm-1) 的数据进行自动基线校正、 自动平滑、 归一化等处理, 对处理后主要官能团的光谱数据进行主成分分析(principal component analysis, PCA), 以探究不同碳源碳微球之间光谱学特性的差异。 研究结果表明: 碳微球得率、 粒径分布与碳源种类相关。 糖源碳微球粒径分布规律为蔗糖>葡萄糖>木糖, 粒径分布在0.3~1.6 μm之间; 生物质源碳微球为紫茎泽兰>葡萄藤, 粒径分布在0.1~0.6 μm。 红外光谱显示, 生物质和糖源在碳化过程中均发生了脱水、 脱羧、 芳构化以及缩合反应, 不同碳源制备的碳微球均含有芳香环结构; 此外, 碳微球表面存在O—H和CHO等含氧官能团。 在主成分分析中, 第一主成分(PC1)和第二主成分(PC2)代表了83.1%的指纹区变量信息, 能够反映原始光谱的主要信息。 在主成分得分图中, 不同碳源碳微球的分布相对独立, 说明碳微球在化学组成上有明显的差异性。 因此, 光谱学特性上的差异可作为鉴别和分类不同碳源制备碳微球的主要依据, 研究结果为进一步探讨和不同碳源碳微球的光谱学特性提供理论依据和研究基础。
水热法 糖 生物质 碳微球 主成分分析 Hydrothermal carbonization Saccharides Biomass Carbon microsphere ATR-FTIR Principal component analysis ATR-FTIR 光谱学与光谱分析
2020, 40(10): 3153
Author Affiliations
Abstract
1 School of Medicine, Zhejiang University City College Hangzhou, Zhejiang 310015, P. R. China
2 Pharmaceutical Informatics Institute, Zhejiang University Hangzhou, Zhejiang 310058, P. R. China
As unsafe components in herbal medicine (HM), saccharides can affect not only the drug appearance and stabilization, but also the drug efficacy and safety. The present study focuses on the in-line monitoring of batch alcohol precipitation processes for saccharide removal using nearinfrared (NIR) spectroscopy. NIR spectra in the 4000–10,000-cm-1 wavelength range are acquired in situ using a transflectance probe. These directly acquired spectra allow characterization of the dynamic variation tendency of saccharides during alcohol precipitation. Calibration models based on partial least squares (PLS) regression have been developed for the three saccharide impurities, namely glucose, fructose, and sucrose. Model errors are estimated as the root-meansquare errors of cross-validation (RMSECVs) of internal validation and root-mean-square errors of prediction (RMSEPs) of external validation. The RMSECV values of glucose, fructose, and sucrose were 1.150, 1.535, and 3.067 mgmL-11, and the RMSEP values were 0.711, 1.547, and 3.740 mg mL-11, respectively. The correlation coefficients (r) between the NIR predictive and the reference measurement values were all above 0.94. Furthermore, NIR predictions based on the constructed models improved our understanding of sugar removal and helped develop a control strategy for alcohol precipitation. The results demonstrate that, as an alternative process analytical technology (PAT) tool for monitoring batch alcohol precipitation processes, NIR spectroscopy is advantageous for both efficient determination of quality characteristics (fast, in situ, and requiring no toxic reagents) and process stability, and evaluating the repeatability.
Herbal medicine alcohol precipitation near-infrared spectroscopy saccharides removal process analytical technology Journal of Innovative Optical Health Sciences
2018, 11(5): 1850027
Author Affiliations
Abstract
1 MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics South China Normal University Guangzhou 510631, P. R. China
2 Department of Ophthalmology Xinhua Hospital, Shanghai Jiaotong University School of Medicine Shanghai 200092, P. R. China
3 Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Graduate School at Shenzhen, Tsinghua University Shenzhen 518055, P. R. China
4 MOE Key Laboratory of Laser Life Science College of Biophotonics, South China Normal University Guangzhou 510631, P. R. China
We proposed a new saccharides sensor developed by symmetrical optical waveguide (SOW)- based surface plasmon resonance (SPR). This unique MgF2/Au/MgF2/Analyte film structure results in longer surface plasmon wave (SPW) propagation lengths and depths, leading to an increment of resolution. In this paper, we managed to decorate the dielectric interface (MgF2 layer) by depositing a thin polydopamine film as surface-adherent that provides a platform for secondary reactions with the probe molecule. 3-Aminophenylboronic acid (3-PBA) is chosen to be the saccharides sense probe molecule in the present work. The aqueous humor of Diabetes and Cataract patient whose blood glucose level is normal are analyzed and the results demonstrated that this sensor shows great potential in monitoring the blood sugar and can be adapted in the field of biological monitoring in the future.
Saccharides sensor surface plasmon resonance symmetrical optical waveguide 3-Aminophenylboronic acid dopamine Journal of Innovative Optical Health Sciences
2015, 8(2): 1550003
1 中国科学院上海应用物理研究所, 上海 201800
2 石河子大学化学化工学院, 新疆 石河子832003
利用太赫兹时域光谱(terahertz time-domain spectroscopy, THz-TDS)技术研究了D-(-)-核糖、 D-葡萄糖、 α-乳糖一水合物及β-乳糖在03～16 THz波段的光谱特性。 结果显示THz波对几种糖结构的变化有灵敏响应, 在测量波段内有各自特征的THz指纹吸收光谱。 利用线性回归技术对含两至四组分混合体系的THz光谱进行定性及定量解析, 获得了混合物中各组分含量, 相对误差小于72%, 并就误差产生的原因做了简要分析。 实验结果表明THz-TDS技术能够用于材料的定性及定量分析研究, 在生物医药的无损检测和质量控制等方面有重要的应用前景。
太赫兹时域光谱 特征光谱 糖 定性及量分析 THz-TDS Characteristic spectrum Saccharides Qualitative and quantitative analyses 光谱学与光谱分析
2009, 29(11): 2885
