基于超材料的无标记光学生物传感

超材料(metamaterials)因为能够在亚波长尺度范围内精细调控电磁波而受到人们广泛关注。超材料具有丰富的电磁模态,在表面支持高度局域场增强且对周围介电环境极其敏感,可应用于无标记光学生物传感领域。与传统光学生物传感器相比,超材料生物传感器具有小型化、集成化、高度灵敏、多功能可定制等突出优点。本文总结了近年来超材料生物传感器在可见光、近红外、中红外以及太赫兹波段的研究进展,包括折射率生物传感、表面增强拉曼散射、表面增强红外吸收和太赫兹生物传感等。     

面源红外诱饵对抗红外制导导弹干扰策略研究

面源红外诱饵使用的过程中,合理有效的干扰策略是干扰红外制导导弹的关键,针对这一问题,通过理论分析与仿真模拟相结合得到面源红外诱饵对抗红外制导导弹的干扰策略。首先以红外成像制导导弹为例,介绍红外制导导弹的仿真模型,然后将攻击过程分为锁定前与锁定后,以命中率为评价指标,得到两个阶段下的最佳干扰策略,包括诱饵的最佳释放时机、释放间隔以及载机应采取的机动动作等。     

一种酰胺类沥青乳化剂的制备及性能研究

首先通过脂肪酸与酸酐反应，得到多元羧酸中间体，再将其与改性多乙烯多胺经过一系列反应合成一种酰胺类沥青乳化剂，采用傅里叶红外光谱对乳化剂结构进行表征。实验室对比测试了自制乳化剂与进口乳化剂的表面活性及其所制乳化沥青的性能。结果表明：两种乳化剂制备乳化沥青的各项性能指标均可满足微表处施工技术要求，且自制乳化剂具有较高的固含量和较好的储存稳定性，乳化沥青8 min即可破乳，用于微表处养护可快速开放交通；自制乳化剂价格仅为进口乳化剂的76.4%左右，应用前景良好。     

铁酸镧B位掺Mn/Co/Cr试样的红外辐射性能与机理

采用高温固相烧结法制备了粉体材料LaFeO₃、LaFe_0.75Co_0.25O₃、LaFe_0.75Cr_0.25O₃和LaFe_0.75Mn_0.25O₃，通过XRD、FTIR、SEM、XPS等检测手段对材料进行表征，同时运用CASTEP模块模拟计算了材料的电子能带结构和光学性质。实验结果表明：掺入Mn/Cr/Co离子后晶格发生畸变,晶格对称性降低。Mn/Cr/Co掺杂后的粉体材料在近中红外波段发射率排序为：掺Mn>掺Co>掺Cr>纯LaFeO₃，其中掺Mn在0.2～2.5μm波段为0.8722，2.5～5μm波段为0.6755，远大于纯LaFeO₃的发射率（近中红外波段发射率均为0.5左右）。发射率提升的机理在于：Mn掺杂后,引入了Mn³⁺杂质能级，产生了激活能小的Mn³⁺?Mn⁴⁺跳跃小极化子，电子-氧空位载流子吸收亦增强，同时体系的晶格畸变导致振动吸收加剧。第一性原理计算结果表明掺杂Mn/Cr/Co材料的禁带宽度分别0.793eV、2.406eV、1.722eV均小于纯LaFeO₃的3.817eV，结合态密度计算结果分析其原因，主要Mn3d、Cr3d、Co3d轨道与O2p轨道杂化形成杂质能级，同时Mn3d、Cr3d、Co3d在导带也存在态密度峰，且峰的位置都比LaFeO₃峰更靠近费米能级，作为新的导带底相当于缩短了价带顶到导带底之间的间隙宽度。LaFe_0.75Mn_0.25O₃材料在近中红外波段的优异辐射性能表现，可作为耐高温抗氧化高发射率材料在高温热工炉窑具有潜在应用前景。     

An Integrated Flexible All-Nanowire Infrared Sensing System with Record Photosensitivity

Infrared (IR) photodetectors are a key optoelectronic device and have thus attracted considerable research attention in recent years. Photosensitivity is an increasingly important device performance parameter for nanoscale photodetectors and image sensors, as it determines the ultimate imaging quality and contrast. However, photosensitivities of state-of-the-art low-dimensional nanostructure-based IR detectors are considerably low, limiting their practical applications. Herein, a biomimetic IR detection amplification (IRDA) system that boosts photosensitivity by several orders of magnitude by introducting nanowire field effect transistors (FETs), resulting in a peak photosensitivity of 7.6 × 10⁴ under an illumination of 1342 nm, is presented. Consequently, high-contrast imaging of IR light is obtained on the flexible IRDA arrays. The image information can be then trained and recognized by an artificial neural network for higher image-recognition efficiency. This work provides a new perspective for developing high-performance IR imaging systems, and is expected to undoubtedly enlighten future work on artificial intelligence and biorobotic systems.     

Carborane and cyanine conjugated galactose targeted amphiphilic copolymers for potential near infrared imaging-guided boron neutron capture therapy (BNCT)

Near infrared fluorescent galactose targeted glycopolymer containing m-carborane has been synthesized through ring open and atom transfer radical polymerization, followed by post-functionalization with a cyanine NIR dye. The copolymer could self-assemble into micelles which work as a potential agent for imaging-guided boron neutron capture therapy. The NIR micelles revealed no cytotoxicity for HepG2 cells. An enhanced and fast endocytosis due to the specific interaction between the HepG2 cells and the glycopolymer could be traced by fluorescence microscopy, and the bioimaging makes it possible to trace the nanoparticles and provides information where and when the neutron irradiation should be triggered.     

The effect of maturity and tissue on the ability of mid infrared spectroscopy to predict the geographical origin of banana (Musa Cavendish)

The objective of this study was to evaluate the effect of sample presentation (tissue type) and maturity (ripe and unripe) on the classification of banana (Musa Cavendish) samples sourced from two different geographical regions and analysed using mid infrared (MIR) spectroscopy. The coefficient of determination (R²) and the standard error of cross-validation (SECV) obtained using partial least squares discriminant analysis were 0.83 (0.33), 0.75 (0.25) and 0.94 (0.19) for the prediction of maturity, geographical origin and tissue type, respectively. No effect of either of type of tissue (e.g. pulp or peel) or maturity was observed. The results of this study demonstrated that MIR spectroscopy might be used to classify the origin of the banana samples at different degrees of ripeness. However, one of the limitations of this study is on the number of samples analysed and further validation must be recommended using samples from other sources, regions and harvest seasons.     

Effects of breed,farm intensiveness,and cow productivity level on cheese-making ability predicted using infrared spectral data at the population level

Fourier-transform infrared (FTIR) spectra collected during milk recording schemes at population level can be used for predicting novel traits of interest for farm management, cows' genetic improvement, and milk payment systems. The aims of this study were as follows. (1) To predict cheese yield traits using FTIR spectra from routine milk recordings exploiting previously developed calibration equations. (2) To compare the predicted cheese-making abilities of different dairy and dual-purpose breeds. (3) To analyze the effects of herds' level of intensiveness (HL) and of the cow's level of productivity (CL). (4) To compare the patterns of predicted cheese yields with the patterns of milk composition in different breeds to discern the drivers of cheese-making efficiency. The major sources of variation of FTIR predictions of cheese yield ability (fresh cheese or cheese solids produced per unit milk) of individual milk samples were studied on 115,819 cows of 4 breeds (2 specialized dairy breeds, Holstein and Brown Swiss, and 2 dual-purpose breeds, Simmental and Alpine Grey) from 6,430 herds and exploiting 1,759,706 FTIR test-day spectra collected over 7 yr of milk sampling. Calibration equations used were previously developed on 1,264 individual laboratory model cheese procedures (cross-validation R² 0.85 and 0.95 for fresh and solids cheese yields, respectively). The linear model used for statistical analysis included the effects of parity, lactation stage, year of calving, month of sampling, HL, CL, breed of cow, and the interactions breed × HL and breed × CL. The HL and CL stratifications (5 classes each) were based on average daily secretion of milk net energy per cow. All effects were highly significant. The major conclusions were as follows. (1) The FTIR-based prediction of cheese yield of milk goes beyond the knowledge of fat and protein content, partially explaining differences in cheese-making ability in different cows, breeds and herds. (2) Differences in cheese yields of different breeds are only partially explained by milk fat and protein composition, and less productive breeds are characterized by a higher milk nutrient content as well as a higher recovery of nutrients in the cheese. (3) High-intensive herds not only produce much more milk, but the milk has a higher nutrient content and a higher cheese yield, whereas within herds, compared with less productive cows, the more productive cows have a much greater milk yield, milk with a greater content of fat but not of protein, and a moderate improvement in cheese yield, differing little from expectations based on milk composition. Finally, (4) the effects of HL and CL on milk quality and cheese-making ability are similar but not identical in different breeds, the less productive ones having some advantage in terms of cheese-making ability. We can obtain FTIR-based prediction of cheese yield from individual milk samples retrospectively at population level, which seems to go beyond the simple knowledge of milk composition, incorporating information on nutrient retention ability in cheese, with possible advantages for management of farms, genetic improvement of dairy cows, and milk payment systems.     

水热法主要提取因素对光皮木瓜多糖结构的影响

目的 优化水热法提取光皮木瓜（Chaenomeles sinensis）多糖的提取工艺条件，对光皮木瓜不溶性多糖的组成和结构进行分析。方法 预处理后的光皮木瓜样品经水热法提取、抽滤、冲洗，浓缩等操作，分别得到不溶性多糖、醇沉多糖和醇溶多糖，通过傅里叶变换红外光谱、扫描电子显微镜及X射线衍射分析不溶性多糖的组成和结构。 结果 多糖提取的较优条件为150 ℃/45 min，料液比1∶10 (W/V)；温度对水热法提取效果影响显著，适当升高温度、延长提取时间和减少料液比有利于多糖提取；高温虽能促进半纤维素溶解，但无法使木质素和木聚糖降解；即使提取温度不同，光皮木不溶性多糖的结构差异也极小；水热法提取光皮木瓜多糖不会导致多糖的功能性基团变化，只改变多糖的化学组成。结论 该研究可为光皮木瓜多糖的结构与功能研究提供实验依据，也为陕西白河光皮木瓜资源的综合利用提供研究参考。