近红外光谱分析法测定东北黑土有机碳和全氮含量

以我国东北黑土为研究对象,分析了2004-2005年采集的136个土壤样品在3699～12000 cm^-1范围的近红外光谱,利用偏最小二乘法建立了原始光谱吸光度与土壤有机碳、全氮和碳氮比之间的定量分析模型.结果表明：土壤有机碳和全氮的模型拟合效果良好,决定系数R²分别为0.92和0.91（P<0.001）,相对分析误差RPD分别为3.45和3.36,利用该模型对验证样本土壤有机碳和全氮的预测值与实测值之间的相关系数分别为0.94和0.93（P<0.001）,表明可以用近红外光谱分析法对黑土有机碳和全氮含量进行测定.但是利用近红外光谱分析法对土壤碳氮比的预测并不理想,虽然验证样本集黑土碳氮比模型预测值与实测值呈显著相关（r＝0.74,P<0.001）,但是校正模型的R²为0.61,RPD仅为1.61,建立的模型不能对黑土碳氮比做出合理的估测.     

灵芝两个无孢品种中水提物成分分析及免疫活性比较

龙芝2号和鹿角灵芝均为赤芝的栽培品种,且在生长发育过程中均不产生孢子。目前,尚缺乏对两者化学成分和药理活性的系统比较研究。本研究以灵芝两个无孢品种——龙芝2号和鹿角灵芝为原料,研究对比两者子实体水提物成分差异及免疫活性的强弱。采用化学及仪器分析相结合的方法,分析两者水提物中的多糖得率、含量、重均分子量分布特征及核苷、蛋白质、氨基酸含量差异,并研究了灵芝两个无孢品种水提物样品刺激RAW 264.7细胞释放NO活性。结果表明,两者多糖得率及含量差异不大,但龙芝2号中重均分子量分布范围较广,多糖分子量较大,其含有3种多糖,分子量分别为2.021×10⁶、1.802×10⁶和4.825×10⁵,而鹿角灵芝中仅含有1种多糖,分子量为1.589×10⁴;两者中含有的核苷种类相似,但各核苷的含量存在差异;鹿角灵芝和龙芝2号中蛋白质含量分别为10.70%和10.32%,两者均不含有组氨酸,蛋氨酸在两者中含量均较高,分别达到2.556%和2.591%。从鹿角灵芝和龙芝2号中得到的水提物样品均具有体外刺激巨噬细胞释放NO的活性。     

不同光谱类型对银川平原土壤含盐量反演精度的影响与校正

土壤盐渍化是导致土壤质量下降、耕地减产的重要因素之一。为准确快速评价银川平原土壤含盐量,本研究对野外高光谱数据和室内高光谱数据进行一阶微分(FDR)变换,逐步回归(SR)筛选特征波段,利用偏最小二乘回归(PLSR)与支持向量机(SVM)进行建模,明确适用于本地区土壤含盐量准确反演的光谱类型,并对较差光谱类型进行分段校正与全局校正,尝试提高土壤含盐量反演精度。结果表明: 基于野外光谱的土壤含盐量反演模型精度比室内光谱平均高58.9%;对室内光谱进行分段校正、全局校正后反演精度均有提高,其中,PLSR以分段校正精度更高,建模决定系数(R_c²)、验证决定系数(R_p²)和相对分析误差(RPD)分别为0.790、0.633和1.64,而SVM以全局校正精度更高,R_c²、R_p²和RPD分别为0.927、0.947和3.87;SVM模型的反演精度高于PLSR,其中,野外光谱建模效果最佳,室内全局校正光谱与室内分段校正光谱次之,室内光谱最差。因此,野外高光谱可实现对银川平原土壤表层含盐量的定量反演,经校正的室内光谱对土壤含盐量反演精度显著提升,均可为粮食安全与生态环境高质量发展提供保障。     

人工栽培灵芝中多糖的部分理化性质及免疫调节作用

【背景】灵芝是一种广受关注的药食两用真菌,在中国作为传统药材和健康食品已有几千年历史,近年来中国人工栽培灵芝规模扩展迅速,而多糖被认为是灵芝中最主要的活性成分。【目的】分离和纯化人工栽培灵芝子实体多糖,并对其结构和免疫调节活性进行研究。【方法】采用水提醇沉法提取灵芝子实体多糖(GLP),采用DE-52纤维素柱和Sephadex G-100进行多糖的分离纯化,高效凝胶渗透色谱法测定多糖分子量,1-苯基-3-甲基-5-吡啶啉酮(PMP)柱前衍生法测定单糖组成,红外光谱进行结构分析,噻唑蓝(MTT)比色法测定多糖对小鼠脾细胞增殖的影响,同时评价其对RAW 264.7细胞吞噬能力和细胞因子分泌能力的促进作用。【结果】GLP平均分子量为1.93×10~4 Da,单糖组成包含葡萄糖(Glc)、半乳糖(Gal)及甘露糖(Man),占比为Glc:Gal:Man=3.3:1.3:1.0。红外光谱显示,GLP的异头碳为β构型。GLP能直接促进脾细胞的增殖,且能显著增强刀豆蛋白A(Con A)诱导的T淋巴细胞和脂多糖(LPS)诱导的B淋巴细胞的增殖。此外,对于RAW 264.7细胞的吞噬能力及细胞因子分泌具有一定的促进作用。【结论】灵芝多糖可作为一个潜在的免疫调节药物而开发利用。     

应用近红外光谱预测水稻叶片氮含量

以水稻(Oryza sativa)新鲜叶片和干叶粉末两种状态的样品为研究对象, 基于近红外光谱(NIRS)技术, 应用偏最小二乘法(PLS)、主成分回归(PCR)和逐步多元回归(SMLR), 建立并评价了水稻叶片氮含量(NC)近红外光谱模型。结果表明, 基于PLS建立的模型表现最好, 鲜叶氮含量近红外光谱校正模型校正决定系数R_C²为0.940, 校正标准误差RMSEC为0.226; 干叶粉末氮含量的近红外光谱校正模型R_C²为0.977, RMSEC为0.136。模型的内部交叉验证分析表明, 预测鲜叶氮含量内部验证决定系数R_CV²为0.866, 内部验证标准误差RMSECV为0.243; 预测干叶粉末氮含量R_CV²为0.900, RMSECV为0.202。模型的外部验证分析表明, 预测水稻鲜叶氮含量的外部验证决定系数R_V²大于0.800, 外部验证标准误差RMSEP小于0.500, 预测干叶粉末氮含量的R_V²为0.944, RMSEP为0.142。说明, 近红外光谱分析技术与化学分析方法一致性较好, 且基于干叶粉末建立的近红外光谱预测模型的准确性和精确度较新鲜叶片高。     

基于近红外漫反射光谱快速测定淫羊藿蛋白质含量

采用近红外漫反射光谱技术对淫羊藿(Epimedium)的蛋白质含量进行快速且无损检测。近红外漫反射光谱经二阶导数处理、标准多元离散校正及主成分分析聚类处理后, 采用改进最小二乘法回归得到的定标模型预测效果最佳, 定标决定系数、交互验证标准差及交互验证相关系数分别为0.923、0.554和0.717。近红外光谱分析法的测定结果与用凯氏定氮法所得结果无显著差异, 两种方法测定值的相关性较高(R²=0.933 9)。重复性实验表明, 近红外光谱分析法的相对标准偏差为0.937%。该研究首次采用近红外光谱分析法测定了8种淫羊藿的蛋白质含量。该方法简便、精确, 在淫羊藿资源开发利用和药材质量控制方面具有参考意义。     

波长选择SCARS和偏最小二乘法建立香菇中多糖含量预测的近红外光谱模型

为实现香菇多糖含量的快速测定,利用近红外光谱漫反射技术采集了60个香菇粉末样本在12000~3800 cm-1范围内的光谱数据,利用紫外可见光谱法测定了香菇粉末样品的多糖含量。采用多种化学计量学方法,剔除掉四个异常样本后,考察了不同的光谱预处理方法以及波长选择对模型的影响,用留一交互检验法建立了偏最小二乘(PLS)模型,并用所建立的校正模型对独立预测集样本进行了预测。结果表明,当采用二阶导数及变量稳定性的竞争自适应加权抽样法(SCARS)选择的波长对光谱进行处理时,所建立的模型预测效果最佳,在隐变量数为10时,模型相关系数为0.9906,校正均方根误差(RMSEC)为0.0523 g/100 g,预测相关系数Rp=0.9781,预测均方根误差(RMSEP)=0.0577 g/100 g,该模型具有较好的预测能力,可用于香菇多糖含量的近红外光谱快速检测。     

灵芝不同菌株胞外多糖的单糖组成和抗氧化活性分析

灵芝多糖是药用真菌灵芝的主要活性成分之一。早期研究发现不同灵芝子实体多糖的单糖组成和活性存在差异,但不同灵芝菌株胞外多糖的单糖组成和活性是否有区别仍不清楚。本研究通过液体发酵获得灵芝菌株5.26和5.616的胞外多糖,使用DEAE-cellulose和Sephadex G-200柱色谱分离纯化得到了两种多糖(5.26-2-1和5.616-2-1),并对5.26-2-1,5.616-2-1的单糖组成和抗氧化活性进行了分析。结果表明,5.26-2-1主要由甘露糖、半乳糖醛酸、半乳糖和葡萄糖组成,而5.616-2-1主要由甘露糖、半乳糖和葡萄糖组成。5.26-2-1中葡萄糖的摩尔百分比为63.97%,显著高于5.616-2-1 (29.3%),但半乳糖的摩尔百分比为9.34%,显著低于5.616-2-1 (42.78%)。当多糖质量浓度为2 mg/mL时,5.26-2-1的Fe²⁺螯合能力、对1,1-二苯基-2-三硝基苯肼(DPPH)和羟自由基(·OH)的最大清除率分别为71.9%、71.3%和60.8%,显著高于5.616-2-1的值(63.5%、60.4%和51.8%)。本研究有助于灵芝多糖的开发与利用,为进一步探究灵芝多糖的构效关系提供了重要信息。     

基于减量精细采样法估算小麦叶片氮积累量的最佳归一化光谱指数

基于6个小麦品种、5个施氮水平、4年田间试验条件下不同生育时期的小麦叶片高光谱反射率和相应的氮含量及生物量,采用减量精细采样法,系统构建了350～2500 nm范围内所有两两波段组成的归一化光谱指数［NDSI（i, j）］,综合分析了小麦叶片氮积累量(LNA, g N·m^-2)与NDSI（i, j）的定量关系,确定了估算叶片氮积累量的新高光谱特征波段和光谱指数,进而建立了小麦叶片氮积累量监测模型.结果表明：估算小麦叶片氮积累量的敏感波段主要存在于可见光区和近红外区,最佳特征波段组合为720 nm和860 nm;基于NDSI(860,720)的叶片氮积累量监测模型为LNA=26.34×［NDSI(860,720)］^1.887（R²=0.900,SE=1.327）.利用独立试验资料的检验结果表明,基于NDSI(860,720)建立的回归模型对小麦叶片氮积累量的估测精度为0.823,RMSE为0.991 g N·m^-2,模型预测值与观察值之间的符合度较高.可利用新的归一化高光谱参数NDSI(860,720)来估算小麦叶片氮积累量.     

基于相关分析和偏最小二乘回归的黄绵土土壤全氮和碱解氮含量的高光谱预测

以采取植被恢复措施的陕西省吴起县为研究区,实地采集24个土壤剖面不同层次的黄绵土土样100个,在进行土壤样本全氮（TN）和碱解氮（AHN）含量及实验室反射光谱数据测量和分析的基础上,用相关分析（CA）结合偏最小二乘回归（PLS）方法建立黄绵土土壤TN和AHN含量的校正模型,并用独立样本对校正模型进行验证.结果表明： 利用6种光谱变换方式建立的校正模型中,微分光谱建立的校正模型是预测研究区土壤TN含量的最佳模型,校正和验证R²分别为0.929和0.935,均方根误差（RMSE）分别为0.045和0.047 g·kg^-1,相对预测偏差（RPD）为3.12;而归一化变换建立的校正模型是预测土壤AHN含量的最佳模型,校正和验证R²分别为0.873和0.773,RMSE分别为9.946和16.204 mg·kg^-1,RPD为1.538.所建立的全氮预测模型可以对0～40 cm土层的TN进行有效预测,而碱解氮的预测模型对同一深度只能进行粗略预测.本研究为采取植被恢复措施的退化生态系统区黄绵土土壤全氮的快速预测提供了一种较好的方法,但是对于碱解氮的准确、快速预测,需要进一步研究.     

API Determination by NIR Spectroscopy Across Pharmaceutical Production Process

The purpose of this research was to demonstrate the ability of reflectance near-infrared (NIR) spectroscopy for quantitative analysis of an active ingredient in different production steps of a solid formulation. The drug is quantified at two different steps of a pharmaceutical process: after granulation and after tablet coating. Calibration samples were prepared by mixing pure drug, excipients, and batch samples (75–120 mg/g active ingredient) using a simple methodology that can be easily carried out in a laboratory. Partial least squares calibration models were calculated in second-derivative mode using the wavelength range 1,134–1,798 nm. The error of prediction for granulated samples was 1.01% and 1.63% for tablets. The results prove that NIR spectroscopy is a good alternative to other, more time-consuming means of analysis for pharmaceutical process monitoring.     

基于香草醛-高氯酸显色反应测定灵芝三萜的方法探讨与修正

本文报道了基于香草醛-高氯酸显色反应的分光光度法定量测定灵芝三萜的修正方法,并对该方法应用进行了探讨和优化。采用此方法检测了灵芝子实体中含量较高的几种三萜酸,结果表明若采用齐墩果酸为标准品检测灵芝三萜,检测结果远低于真实值。在光谱分析上,研究表明对紫外-可见光扫描吸收峰进行面积积分,获得的标准曲线的线性关系更优。     

HPLC法测定灵芝孢子粉中三萜含量

为准确测定灵芝孢子粉中三萜的含量,运用高效液相建立适合孢子粉的分析测定方法。通过对前处理条件的优化,确定40%乙醇为孢子粉中等极性三萜酸类的最佳提取溶剂,浓缩倍数是子实体提取条件的50倍。通过色谱柱和洗脱条件的优化,建立了包括灵芝酸I、灵芝烯酸C、灵芝酸C2等13种标准品测定方法,方法学考察显示该分析方法精密度、重复性、稳定性的RSD值均小于5%,可以用于灵芝孢子粉中三萜类成分的定量检测。通过5组样品的分析发现,灵芝酸C6、灵芝酸G、灵芝酸A、灵芝酸D、灵芝酸F是灵芝孢子粉中的主要三萜类成分,其中灵芝酸A含量最高,平均占样品三萜总量的比例达19.71%;三萜类成分的溶出量与是否破壁没有相关性。三萜类成分在灵芝孢子粉和灵芝孢子油产品中的含量非常低,孢子粉的三萜含量为14.24-99.70μg/g,仅为子实体的1/100,灵芝孢子油中三萜含量也均低于50μg/g,因此三萜类成分不适合作为灵芝孢子粉及其相关产品的定量检测指标。     

Arthritis imaging using a near-infrared fluorescence folate-targeted probe

A recently developed near-infrared fluorescence-labeled folate probe (NIR2-folate) was tested for in vivo imaging of arthritis using a lipopolysaccharide intra-articular injection model and a KRN transgenic mice serum induction mouse model. In the lipopolysaccharide injection model, the fluorescence signal intensity of NIR2-folate (n = 12) and of free NIR2 (n = 5) was compared between lipopolysaccharide-treated and control joints. The fluorescence signal intensity of the NIR2-folate probe at the inflammatory joints was found to be significantly higher than the control normal joints (up to 2.3-fold, P < 0.001). The NIR2-free dye injection group showed a persistent lower enhancement ratio than the NIR2-folate probe injection group. Excessive folic acid was also given to demonstrate a competitive effect with the NIR2-folate. In the KRN serum transfer model (n = 4), NIR2-folate was applied at different time points after serum transfer, and the inflamed joints could be detected as early as 30 hours after arthritogenic antibody transfer (1.8-fold increase in signal intensity). Fluorescence microscopy, histology, and immunohistochemistry validated the optical imaging results. We conclude that in vivo arthritis detection was feasible using a folate-targeted near-infrared fluorescence probe. This receptor-targeted imaging method may facilitate improved arthritis diagnosis and early assessment of the disease progress by providing an in vivo characterization of active macrophage status in inflammatory joint diseases.     

Comparative determination of polymorphs of indomethacin in powders and tablets by chemometrical near-infrared spectroscopy and X-ray powder diffractometry

The purpose of this research was to develop a rapid chemometrical method based on near-infrared (NIR) spectroscopy to determine indomethacin (IMC) polymorphic content in mixed pharmaceutical powder and tablets. Mixed powder samples with known polymorphic contents of forms α and γ were obtained from physical mixing of 50% of IMC standard polymorphic sample and 50% of excipient mixed powder sample consisting of lactose, corn starch, and hydroxypropyl-cellulose. The tablets were obtained by compressing the mixed powder at 245 MPa. X-ray powder diffraction profiles and NIR spectra were recorded for 6 kinds of standard materials with various polymorphic contents. The principal component regression analysis was performed based on normalized NIR spectra sets of mixed powder standard samples and tablets. The relationships between the actual and predicted polymorphic contents of form g in the mixed powder measured using x-ray powder diffraction and NIR spectroscopy show a straight line with a slope of 0.960 and 0.995, and correlation coefficient constants of 0.970 and 0.993, respectively. The predicted content values of unknown samples by x-ray powder diffraction and NIR spectroscopy were reproducible and in close agreement, but those by NIR spectroscopy had smaller SDs than those by x-ray powder diffraction. The results suggest that NIR spectroscopy provides a more accurate quantitative analysis of polymorphic content in pharmaceutical mixed powder and tablets than does conventional x-ray powder diffractometry.     

Effects of Subsetting by Parent Materials on Prediction of Soil Organic Matter Content in a Hilly Area Using Vis–NIR Spectroscopy

Assessment and monitoring of soil organic matter (SOM) quality are important for understanding SOM dynamics and developing management practices that will enhance and maintain the productivity of agricultural soils. Visible and near-infrared (Vis–NIR) diffuse reflectance spectroscopy (350–2500 nm) has received increasing attention over the recent decades as a promising technique for SOM analysis. While heterogeneity of sample sets is one critical factor that complicates the prediction of soil properties from Vis–NIR spectra, a spectral library representing the local soil diversity needs to be constructed. The study area, covering a surface of 927 km² and located in Yujiang County of Jiangsu Province, is characterized by a hilly area with different soil parent materials (e.g., red sandstone, shale, Quaternary red clay, and river alluvium). In total, 232 topsoil (0–20 cm) samples were collected for SOM analysis and scanned with a Vis–NIR spectrometer in the laboratory. Reflectance data were related to surface SOM content by means of a partial least square regression (PLSR) method and several data pre-processing techniques, such as first and second derivatives with a smoothing filter. The performance of the PLSR model was tested under different combinations of calibration/validation sets (global and local calibrations stratified according to parent materials). The results showed that the models based on the global calibrations can only make approximate predictions for SOM content (RMSE (root mean squared error) = 4.23–4.69 g kg⁻¹; R² (coefficient of determination) = 0.80–0.84; RPD (ratio of standard deviation to RMSE) = 2.19–2.44; RPIQ (ratio of performance to inter-quartile distance) = 2.88–3.08). Under the local calibrations, the individual PLSR models for each parent material improved SOM predictions (RMSE = 2.55–3.49 g kg⁻¹; R² = 0.87–0.93; RPD = 2.67–3.12; RPIQ = 3.15–4.02). Among the four different parent materials, the largest R² and the smallest RMSE were observed for the shale soils, which had the lowest coefficient of variation (CV) values for clay (18.95%), free iron oxides (15.93%), and pH (1.04%). This demonstrates the importance of a practical subsetting strategy for the continued improvement of SOM prediction with Vis–NIR spectroscopy.     

HPLC指纹图谱技术在灵芝组织分离试验中的应用

利用 HPLC 指纹图谱技术研究从同一灵芝子实体不同部位组织分离获得的菌株三萜化合物的差异。用常规组织分离方法获得不同菌株,在 A、B、C、D 四种培养基上进行出菇试验,运用HPLC指纹图谱技术获得各子实体三萜提取物 HPLC 指纹图谱,计算图谱间的相似度,分析三萜指纹的差异。结果表明,从子实体不同部位分离获得的四个菌株在同一培养基相同条件下培养获得的灵芝子实体的三萜指纹图谱相似度均大于0.99;同一部位分离获得的菌株在不同培养基相同培养条件下获得的子实体,其粗三萜 HPLC 图谱相似度均大于0.96;不     

HPLC指纹图谱技术在灵芝组织分离试验中的应用

利用HPLC指纹图谱技术研究从同一灵芝子实体不同部位组织分离获得的菌株三萜化合物的差异。用常规组织分离方法获得不同菌株,在A、B、C、D四种培养基上进行出菇试验,运用HPLC指纹图谱技术获得各子实体三萜提取物HPLC指纹图谱,计算图谱间的相似度,分析三萜指纹的差异。结果表明,从子实体不同部位分离获得的四个菌株在同一培养基相同条件下培养获得的灵芝子实体的三萜指纹图谱相似度均大于0.99;同一部位分离获得的菌株在不同培养基相同培养条件下获得的子实体,其粗三萜HPLC图谱相似度均大于0.96;不同的组织分离部位和不同的培养基对灵芝菌株三萜指纹图谱的影响均不显著。18号菌株在C培养基上培养获得的子实体三萜含量最高,上层菌肉为最优组织分离部位,C培养基为最优培养基。灵芝的三萜组成不受生长环境的影响,而生长环境会对其三萜化合物含量产生一定的影响。本文首次应用HPLC指纹图谱方法对灵芝组织分离获得的菌株的差异性进行了研究。     

Noninvasive assessment of sympathetic vasoconstriction in human and rodent skeletal muscle using near-infrared spectroscopy and Doppler ultrasound.

The precise role of the sympathetic nervous system in the regulation of skeletal muscle blood flow during exercise has been challenging to define in humans, partly because of the limited techniques available for measuring blood flow in active muscle. Recent studies using near-infrared (NIR) spectroscopy to measure changes in tissue oxygenation have provided an alternative method to evaluate vasomotor responses in exercising muscle, but this approach has not been fully validated. In this study, we tested the hypothesis that sympathetic activation would evoke parallel changes in tissue oxygenation and blood flow in resting and exercising muscle. We simultaneously measured tissue oxygenation with NIR spectroscopy and blood flow with Doppler ultrasound in skeletal muscle of conscious humans (n = 13) and anesthetized rats (n = 9). In resting forearm of humans, reflex activation of sympathetic nerves with the use of lower body negative pressure produced graded decreases in tissue oxygenation and blood flow that were highly correlated (r = 0.80, P < 0.0001). Similarly, in resting hindlimb of rats, electrical stimulation of sympathetic nerves produced graded decreases in tissue oxygenation and blood flow velocity that were highly correlated (r = 0.93, P < 0.0001). During rhythmic muscle contraction, the decreases in tissue oxygenation and blood flow evoked by sympathetic activation were significantly attenuated (P < 0.05 vs. rest) but remained highly correlated in both humans (r = 0.80, P < 0.006) and rats (r = 0.92, P < 0.0001). These data indicate that, during steady-state metabolic conditions, changes in tissue oxygenation can be used to reliably assess sympathetic vasoconstriction in both resting and exercising skeletal muscle.     

灵芝子实体、菌丝体及孢子粉中多糖成分差异比较研究

为探讨灵芝子实体、菌丝体和孢子粉3种材料中多糖成分的差异,分别运用苯酚硫酸法进行多糖含量测定,运用离子色谱分析其酸水解后单糖组成,并运用HPLC分析各多糖图谱及经α-淀粉酶和β-1,3-葡聚糖酶处理后HPLC图谱的变化,结果发现,灵芝菌丝体中多糖含量最高,达到3.81%,孢子粉多糖含量为1.8%,灵芝子实体中多糖含量最低,仅为0.59%;水解后的单糖组成及摩尔比也有差异,子实体的单糖主要为葡萄糖和半乳糖,菌丝体和孢子粉的单糖主要为葡萄糖;HPLC图谱显示3种多糖出峰位置和分子量也不同,酶解效果表明多糖结构也相差较大。各样品多糖对小鼠巨噬细胞RAW264.7释放NO的产量的影响上,菌丝体与子实体多糖都表现出了很好的活性,而孢子粉多糖却呈现出较低活性。实验结果表明灵芝子实体、菌丝体和孢子粉3种材料的多糖成分差异大,在医药保健品使用中应区分使用。