近红外光谱分析技术应用于植物叶片研究综述

近红外光谱技术（Near Infrared Spectroscopy,NIRS）作为 20 世纪 80 年代后期迅速发展起来 的一项检测技术,已被广泛应用于许多植物的各个组织和各种成分的分析。文章综述了该技术在植物叶 片研究上的应用进展,包括基于叶片特征的植物种类鉴别、植物叶片病虫害诊断、育种材料选择、叶片 内含物质含量测定等 4 个方面,并对近红外光谱检测技术的应用于植物叶片研究前景进行了展望。     

Assessment of tolerance of willows to saline soils through electrical impedance measurements

One-year-old potted clone plants of four willow species (Salix matsudana × alba, S. babylonica, S. psammophila and S. cheilophila) were cultivated and irrigated with saline solutions of different concentrations, while their electrical impedance spectroscopy (EIS) parameters and other physical parameters were monitored. The results indicate i) that under salt stress, height and basal diameter of all species are inhibited, and ii) that relative conductivity of cellular exudates increases while intracellular resistance (ri) and extracelluar resistance (re) drop. Both ri and re were positively correlated with height growth and basal diameter while they were significantly and negatively correlated with electric conductivity. The concentration of Na + in the shoots of willows was negatively correlated with both ri and re , whereas the concentration of K+ in the shoots was positively correlated with both ri and re . Hence, electrical impedance spectroscopy is a reliable tool for evaluating the capacity of willow species for tolerance to saline soils, with r i as the most accurate parameter.     

四种算法用于近红外测定制浆材材性的对比研究

采集了常见制浆材(桉木、相思木及杨木)样品的近红外光谱,测定了样品的基本密度、综纤维素、木质素和苯醇抽出物含量,用人为控制水分的方法测定了样品的水分含量。对原始光谱进行预处理后,分别运用偏最小二乘法(PLS)、LASSO算法、支持向量机法(SVR)和人工神经网络法(BP-ANN)建立基本密度、水分含量、综纤维素、木质素和苯醇抽出物含量的预测模型。对预测模型进行独立验证,结果显示:LASSO算法建立的基本密度和综纤维素模型性能最优,其预测均方根误差(RMSEP)分别为0.006 3 g/cm~3和0.49%,绝对偏差(AD)范围分别为-0.008 8~0.009 6 g/cm~3和-0.85%~0.87%;PLS建立的水分含量模型及苯醇抽出物模型最优,RMSEP值分别为1.21%和0.24%,AD范围分别为-1.99%~2.03%和-0.35%~0.38%;SVR建立的木质素模型最优,RMSEP值为0.43%,AD范围为-0.76%~0.74%,均满足制浆造纸工业中对误差的要求。     

全细胞催化制备单糖酸及其鉴定

首次利用氧化葡萄糖酸杆菌全细胞催化方法,在液体振荡反应体系中分别制取葡萄糖、木糖、阿拉伯糖、半乳糖和甘露糖这5种植物单糖对应的单糖酸钙溶液。以高效阴离子交换色谱-脉冲安培检测器(HPAEC-PAD)对它们的纯度进行检测,并采用红外光谱(FT-IR)和电喷雾质谱(ESI-MS)进行了物质的结构解析与鉴定。结果显示,制备所得的5种单糖酸钙的离子色谱检测纯度均大于98%;它们的红外光谱在1600 cm-1处均有去质子化COO-基团的特征吸收;在电喷雾质谱中2种戊糖酸和3种己糖酸的特征离子峰[M-H]-分别为165.1和195.1,与理论值相符。     

A data transfer method for improving seed identification of maize (Zea mays) haploid breeding based on genetic similarity

Maize haploid breeding technology is able to identify haploid seeds non‐destructively, rapidly and at low cost with the help of Near‐infrared (NIR) spectral analysis. However, due to the hybridization of numerous parents and the low production rate of haploid, the haploid data collection becomes a burden for engineering this technology. Biologically, there are considerable similarities between the progeny of the same female parent and different male parents. Based on this advantage, similar spectral data can be transferred when the NIR technology is employed. A revised method of Transfer adaptive boost (TrAdaBoost) is proposed to improve identifying for the backpropagation neural network (BPNN) classifier. To avoid the negative transfer, a screening thresh is used to select out similar data, and the amount of these data are limited to join current training. The results show that the identification performances are improved significantly when the data amount is small. This method shows a high ability to make the seed identification more convenient for engineering maize haploid breeding.     

彩色小麦近等基因系籽粒中氨基酸含量的比较分析

氨基酸是蛋白质的基本组成单位,是人体必需的重要营养物质。彩色小麦被认为是一类新型的营养保健小麦品种,但对其籽粒中氨基酸含量的研究很少。本研究首次利用高效液相色谱法比较分析了种植于三个环境中的彩色小麦近等基因系(蓝粒小麦科兴611,紫粒小麦科兴617和白粒小麦轮回亲本济麦22)籽粒中多种氨基酸的含量。结果表明,蓝粒小麦科兴611的必需氨基酸含量、非必需氨基酸含量及总氨基酸含量均显著地高于紫粒小麦科兴617和白粒亲本济麦22。紫粒小麦科兴617和白粒小麦济麦22相比,必需氨基酸含量、非必需氨基酸含量及总氨基酸含量相近,甚至低于济麦22。因此,蓝粒小麦籽粒氨基酸含量高的性状,有益于满足人类营养需求,同时可作为育种材料改良小麦品种的氨基酸含量,尤其是提高限制性氨基酸的含量,进而提高小麦的营养品质。     

婴幼儿配方奶粉中8种常微量元素分析方法的研究

采用湿法消解(电热板消解法)、干式消解法(灰发化)和微波消解法对婴幼儿乳粉样品进行前处理,建立电感耦合等离子体发射光谱仪(ICP-OES)同时测定待测样品中8种常微量元素的方法。结果表明,采用微波消解-电感耦合等离子发射光谱仪测定婴幼儿乳粉样品中8种常微量元素的方法各元素的平均含量较高,相对标准偏差(RSD)最小,且小于2.05%。该方法对质控样品中各元素的相对标准偏差(RSD)均小于2%,回收率在84.6%～103.5%。     

Impact of sampling and storage technique,and duration of storage,on the composition of fresh grass when analysed using near‐infrared reflectance spectroscopy

The objective of this study was to examine the effect of sampling technique (pluck or cut), storage duration (immediate analysis, 24‐h or 48‐h), storage temperature (ambient or chilled) and storage conditions (air present, air excluded or breathable) on the composition of fresh grass sampled from a sward managed to simulate grazing. Treatments were repeated across four sampling dates, with grass samples stored in grip seal bags prior to analysis using near‐infrared reflectance spectroscopy. Grass sampled by ‘pluck’ had a higher crude protein and ME content, and a lower acid detergent fibre (ADF) content, compared to that sampled by ‘cut’. Grass stored for 48 h had a lower water soluble carbohydrate (WSC) and ME content and a higher ADF content than for immediate analysis. Samples stored for 24 h did not differ from immediate analysis. Grass stored at ambient temperature had a lower WSC and ME content compared to immediate analysis. Grass stored under ‘breathable’ conditions had a lower ME content and higher ADF content than immediate analysis or samples stored with air present or air excluded. It is recommended that grass for analysis should be sampled by cutting, stored chilled (4°C) in a sealed bag to minimize exposure to oxygen and analysed within 24 h of harvest.     

利用红外光谱研究‘凤丹白’牡丹花瓣伸展过程中物质变化

为了明确花瓣的伸展机制,以‘凤丹白’牡丹(Paeonia ostii)为研究对象,借助傅里叶变换红外光谱(Fourier Transformation Infrared Spectroscopy,FTIR)及高斯多峰拟合,分析蕾期、初开期和盛开期花瓣的波谱特征及蛋白质二级结构的差异性。主要结果如下:随着花朵开放花瓣伸展,777、1 105、1 155、1 243、1 447、1 651、1 740、2 853和2 926 cm~(-1)处的振动峰振动依次增强,表明磷脂质、核酸、脂类和蛋白质等代谢物质随花瓣的伸展逐渐增强;且蕾期1 030 cm~(-1)处的振动峰在花开后移至1 060 cm~(-1),表明蕾期花瓣细胞壁多糖以甘露聚糖为主,花朵开放后则以阿拉伯糖为主。蛋白质中甲基基团含量(A2 951 cm~(-1)/A 2 858 cm~(-1))出现平稳下降的趋势,初开期比蕾期减少7.97%,盛开期减少13.38%;糖蛋白的变化(A 1 083 cm~(-1)/A 1 547 cm~(-1))也呈现下降趋势,推测‘凤丹白’牡丹是通过蛋白质糖基化作用调控花瓣的伸展过程。对氨基Ⅰ区域(1 600~1 700 cm~(-1))高斯多峰拟合数据显示,各阶段花瓣中均含有果胶相连的β–折叠、β–折叠、无规卷曲、α–螺旋及环与转角;α–螺旋、β–折叠及无规卷曲所占比例在花瓣伸展过程中呈现增长趋势,表明蕾期花瓣通过降低α–螺旋应对缺水造成的生理胁迫,并可以利用ATP合成花瓣生长发育所需的物质;花瓣通过形成更多功能域较多的蛋白质,有效调控花瓣伸展时复杂的生物化学过程。     

温室机器人道路识别与路径导航研究——基于红外测距

针对温室内移动机器人的应用需求,提出了一种基于红外线测距的温室机器人自主导航算法,并使用模糊算法对导航误差进行控制,实现了温室机器人的精确自主移动功能。温室机器人导航过程中,当红外线接收管接受到红外线信号时,会产生一个光强电流,电流放大后可以输出一个模拟电压;根据电压值,通过编程计算,利用电压和距离的对应关系,可以得到机器人和标志物的距离误差;距离信息通过串口传输到PC机上,PC机利用模糊控制原理对距离误差进行判断,发出控制指令。实验测试发现:机器人导航的距离偏差平均值为-1.28cm,均方差为2.68,超调较小,可以实现较为精确的导航。