Evaluation of Transmittance and Reflectance Pulse Oximetry in a Canine Model of Hypotension and Desaturation     

Linda J. Barton DVM  Jennifer J. Devey DVM  Steven Gorski BSt  Louis Mainiero MSt  Daniel DeBehnke MD  FACEP 《Journal of Veterinary Emergency and Critical Care》1996,6(1):21-28

Ten, anesthetized dogs were instrumented with three pulse oximeter probes; two lingual transmittance probes and one rectal reflective probe. Arterial oxygen desaturation was produced by decreasing the inspired oxygen concentration. Hypotension was produced with an infusion of nitroprusside. Simultaneous pulse oximeter readings (SpO₂) were compared to co-oximeter measured arterial saturation (SaO₂) collected over a range of SaO₂ (50–100%) and mean arterial pressures (40–100mmHg). Each of the monitors and means of evaluating SpO₂ studied provided accurate SpO₂ measurements over a range of mean arterial pressure from 40–100mmHg. All of the monitors tested tended to overestimate the SaO₂ when the arterial saturation was less than 70%.  相似文献   

Prediction of chemical composition and peroxide value in unground pet foods by near‐infrared spectroscopy          下载免费PDF全文

M. De Marchi  F. Righi  M. Meneghesso  D. Manfrin  R. Ricci 《Journal of animal physiology and animal nutrition》2018,102(1):337-342

The massive development of the pet food industry in recent years has lead to the formulation of hundreds of canine and feline complete extruded foods with the objective of meeting both the needs of the animals and numerous demands from pet owners. In the meantime, highly variable raw material compositions and the industry's new production techniques oblige manufacturers to monitor all phases of the extrusion process closely in order to ensure the targeted composition and quality of the products. This study aimed at evaluating the potential of infrared technology (visible and near‐infrared spectrophotometer; 570–1842 nm) in predicting the chemical composition and peroxide value (PV) of unground commercial extruded dog foods. Six hundred and forty‐nine commercial extruded dog foods were collected. For each product, an unground aliquot was analysed by infrared instrument while a second aliquot was sent to a laboratory for proximate analysis and PV quantification. The wide range of extruded dog food typologies included in the study was responsible for the wide variability observed within each nutritional trait, especially crude fibre and ash. The mean value of the 208 pet foods sampled for PV quantification was 17.49 mEq O₂/kg fat (min 2.2 and max 94.10 mEq O₂/kg fat). The coefficients of determination in cross‐validation of NIRS prediction models were 0.77, 0.97, 0.83, 0.86, 0.78 and 0.94 for moisture, crude protein, crude fat, crude fibre, ash and nitrogen‐free extract (NFE) respectively. PV prediction was less precise, as demonstrated by the coefficient of determination in cross‐validation (0.66). The results demonstrated the potential of NIRS in predicting chemical composition in unground samples, with lower accuracy for moisture and ash, while PV prediction models suggest use for screening purposes only.  相似文献   

Pedotransfer functions to assess adsorbed phosphate using iron oxide content and magnetic susceptibility in an Oxisol          下载免费PDF全文

L. A. Camargo  J. Marques Jr.  G. T. Pereira  L. R. F. Alleoni  A. S. R. de S. Bahia  D. De B. Teixeira 《Soil Use and Management》2016,32(2):172-182

Adsorbed phosphate in soils can be chemically extracted; however, this process is both time‐consuming and not cost‐effective if large numbers of samples have to be analysed. Indirect assessment of adsorbed phosphate by pedotransfer functions (PTFs) can help optimize fertilizer strategies. This study aimed to evaluate the spatial variability of adsorbed phosphate (P_ads), iron oxides and magnetic susceptibility (MS) in oxisols and to calibrate PTFs to predict P_ads. A total of 308 soil samples were collected from Hapludox and Eutrudox soils formed from sandstone in Brazil. The contents of clay (196–607 g/kg), iron oxides (40–165 g/kg), MS (1.2–29 × 10^?6 m³/kg) and P_ads (327–842 mg/kg) were in the range of typical values for these highly weathered soils. This study showed that the attributes studied were spatially dependent. Geomorphic surfaces enabled understanding of spatial variability and helped to develop a more efficient sampling scheme to calibrate PTFs. Moreover, the adsorbed phosphate in these oxisols could be predicted by a PTF using iron oxides and MS as predictors. The MS attribute enabled the most accurate prediction (concordance coefficient = 0.95, root‐mean‐square error = 46 mg/kg and relative improvement in root‐mean‐square error = ?4.12) of spatial variability through PTF compared to other predictors.  相似文献   

Estimation of litchi (Litchi chinensis Sonn.) leaf nitrogen content at different growth stages using canopy reflectance spectra     

《European Journal of Agronomy》2016

The estimation of crop nitrogen status in fresh vegetation leaf using field spectroscopy is challenging due to the weak responses on leaf/canopy reflectance and the overlapping with the absorption features of other compounds. Although the spectral indices were proposed in the literature to predict leaf nitrogen content (LNC), the performance of selected spectral indices to estimate the LNC is often inconsistent. Moreover, the models for nitrogen content estimation changed with the growth stage. The goal of this study was to evaluate the performance of published indices, ratio of data difference index (RDDI) and ratio of data index (RDI) developed by band iterative-optimization algorithm in LNC estimation. The correlation analysis, linear regression and cross validation were used to analyze the relationship between spectral data and LNC and construct the best performed estimation model. The study was conducted by the data of five growing seasons of litchi from the orchards in Guangdong Province of China. Results showed that the relationship between chlorophyll (Chl) related spectral indices and LNC varied with the growth stage. Even in flower bud morphological differentiation stage and autumn shoot maturation stage, there were not significant correlations between the proposed spectral indices and LNC. Besides it is difficult to estimate the LNC by the general model across the growth stages due to the integrated effects of cultivar, biochemical, canopy structure, etc. The band iterative-optimization algorithm can improve the sensitivity of spectral data to LNC to some extent. The optimal RDDI performed better than other indices for the synthetic dataset and the dataset in each growth stage. And the sensitive bands selected in the optimal indices at each growth stage are not consistent, which are not only related to the Chl absorption but also other biochemical components, such as starch, lignin, cellulose, protein, etc. In general, the LNC can be estimated by the optimized CR-based RDDI indices in autumn shoot maturation stage, flower spike stage, fruit maturation stage, and flowering stage with the R² > 0.50 and RMSE < 0.14. Although there were the significant relationship between RDIs and RDDIs in flower bud morphological differentiation stage, the highest R²s of the model developed by RDDIs and RDIs were less than 0.50 in cross validation. This study indicated that the applicability of canopy reflectance to estimate litchi LNC was closely related to the growth stage of litchi. Growth stage-specific models will be preferred for estimating litchi LNC estimation.  相似文献   

Influence of Soil Particle Size on the Measurement of Sodium by Near-Infrared Reflectance Spectroscopy     

《Communications in Soil Science and Plant Analysis》2012,43(19):2330-2339

This study evaluates the effect of soil particle size (SPS) on the measurement of exchangeable sodium (Na) (EXC-Na) by near-infrared reflectance (NIR) spectroscopy. Three hundred thirty-two (n = 332) top soil samples (0–10 cm) were taken from different locations across Uruguay, analyzed by EXC-Na using emission spectrometry, and scanned in reflectance using a NIR spectrophotometer (1100–2500 nm). Partial least squares (PLS) and principal component regression (PCR) models between reference chemical data and NIR data were developed using cross validation (leaving one out). The coefficient of determination in calibration (R²) and the root mean square of the standard error of cross validation (RMSECV) for EXC-Na concentration were 0.44 (RMSECV: 0.12 mg kg^–1) for soil with small particle size (SPS-0.053) and 0.77 (RMSECV: 0.09 mg kg^–1) for soils with particle sizes greater than 0.212 mm (SPS-0.212), using the NIR region after second derivative as mathematical transformation. The R² and RMSECV for EXC-Na concentration using PCR were 0.54 (RMSECV: 0.07 mg kg^–1) and 0.80 (RMSECV: 0.03 mg kg^–1) for SPS-0.053 and SPS-0.212 samples, respectively.  相似文献   

基于近红外光谱法的紫花苜蓿品质综合评价     

王秀华  王璐  杨婉君  潘香逾  赵岩  姜慧新  翟桂玉 《中国草地学报》2021,(4):38-44

探索近红外光谱法测定紫花苜蓿品质的可行性,采用近红外光谱法与常规方法对8个紫花苜蓿品种(系)的粗蛋白、粗脂肪、粗灰分、酸性洗涤纤维、中性洗涤纤维、钙、磷和干物质等8项指标进行测定。利用配对T检验、多重比较和回归分析等方法检验近红外光谱法测定结果的可行性,运用灰色关联度分析对苜蓿品质进行综合评价。结果表明,粗蛋白、粗灰分、中性洗涤纤维、酸性洗涤纤维、磷和干物质等6项指标用近红外光谱法测定可信度较高。紫花苜蓿品质评价指标可简化为粗蛋白、粗灰分、中性洗涤纤维、酸性洗涤纤维和干物质等5项。灰色关联度分析综合表现较好的苜蓿品种(系)有WL358、WL440HQ、WL656HQ和WL366HQ。  相似文献   

干旱胁迫对3种冷季型草坪草光谱反射率及生理特征的影响     

赵志军  单贵莲  段新慧  姜华  任健  陈功  初晓辉 《草原与草坪》2016,(6):23-29

为探讨高光谱分析技术在草坪草水分监测上的应用,以草地早熟禾、高羊茅、多年生黑麦草为试验材料,测定了干旱胁迫下3种冷季型草坪草生理指标及光谱反射率。结果表明:随着干旱胁迫程度的加深,供试草坪草叶片相对含水量和叶绿素含量显著下降(P0.05),丙二醛含量、脯氨酸含量及敏感波段的(550和760 nm)的光谱反射率显著上升(P0.05),3种草坪草抗旱性能的强弱顺序为:高羊茅多年生黑麦草草地早熟禾。3种草坪草敏感波段光谱反射率(R_(550 nm),R_(760 nm))及高光谱参数(Rg,R0,GNDVI)与生理指标间呈显著或极显著相关,以R_(550 nm)与生理指标间的相关系数绝对值最大。同时R_(550 nm)构建了供试草坪草生理指标的估测模型,经检验,模型估测值与实测值相关性达显著或极显著水平。  相似文献   

车载式土壤光-电特性参数采集系统研究   总被引：1，自引：0，他引：1  

裴晓帅  孙红  郑立华  李民赞 《农业机械学报》2015,46(S1):90-95

土壤电导率是衡量土壤传导电流能力的一种固然属性,除了能够反映土壤质地外,还能够反映土壤的含水率、含盐量、有机物含量等特性。利用土壤光谱数据可以分析出土壤含水率、养分等,且测量过程中无需采样、搅动土壤。通过土壤电导率数据和光谱数据的综合、校正,能够提高系统的精度。基于嵌入式技术开发了土壤电导率和光谱反射率综合检测系统。土壤电导率测量系统采用基于改进的电流-电压四端法原理,使用深松犁的尖端作为电极传感器,能够在测量的同时完成松土的作用。光谱测量系统使用微型光谱传感器采集光谱数据,并进行实时处理。在采集土壤电导率、光谱数据的同时,系统同步采集GPS信息,并和土壤电导率、光谱数据一起保存,供进一步绘制土壤特性分布图使用。系统能够实时综合处理多种数据,并进行显示、保存等操作,具有良好的应用 前景。  相似文献   

油茶籽脂肪酸成分含量与高光谱反射率的相关性   总被引：1，自引：0，他引：1  

廖敦军  蒋蘋 《湖南农业大学学报(自然科学版)》2013,39(4):445-448

测定来自不同产地的30个油茶籽样品的油酸、亚油酸、棕榈酸含量和高光谱反射率，分析油茶籽高光谱反射率与脂肪酸含量间的相关关系。结果显示，与油茶籽脂肪酸成分含量相关性比较好的高光谱波段主要分布在400~500、600~630 nm以及900 nm左右，且敏感波段区高光谱反射率与脂肪酸成分含量的相关系数均在0. 4 以上。  相似文献   

近红外反射光谱(NIRS)技术分析奶粉品质的研究   总被引：6，自引：0，他引：6  

魏少华  杨莉  吴建国 《乳业科学与技术》2003,26(2):57-61

奶粉中蛋白质和脂肪是影响奶粉营养品质的主要因素,利用近红外反射光谱分析技术对来自国内不同地区的奶粉共900份样品进行蛋白质和脂肪成分测定分析。研究了不同的样品数日、光谱预处理和散射校正技术对发展奶粉近红外测定定标模型的影响。结果表明．在样品数目为200—400范围内建立的定标分析模型较理想;数学预处理中以一阶导数较好,且以“1,4,4,1”的处理组合最为理想;光谱散射校正中采用“标准正态变量转换(SNV) 趋势变换法(De—trending)”的组合建立回归方程效果较好。利用改进最小二乘法回归技术(Modified PLS)建立多种定标模型,并进行交叉验证(cross—Validation)来分析各种因素对定标模型的影响。同时筛选出较理想的蛋白质和脂肪定标分析回归方程,其中蛋白质和脂肪含量的相关系数高速0．973和0．850。探讨了NIRS技术在建模应用中的一些影响因素,以及由NIRS技术建立奶粉分析模型用于快速分析和在线检测的可行性。  相似文献