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近红外光谱法在连翘提取物含量测定中的应用 总被引：1，自引：0，他引：1
利用近红外光谱法(NIR)快速测定连翘提取物中连翘苷含量.应用近红外光谱仪采集75份连翘提取物样品的近红外漫反射光谱,通过HPLC(high performance liquid chromatography)法测定各样品中连翘苷含量,结合偏最小二乘法建立了连翘苷含量的定量校正模型.结果显示,决定系数、校正均方差和预测均方差分别为0.973 1、0.119和0.110,表明该方法快速、简便、无损.结果准确可靠,为连翘提取物质量的快速评价和在线检测提供了参考和依据. 相似文献
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实验尝试采用近红外光谱法结合涡旋辅助液液微萃取技术,快速测定水中邻苯二甲酸二（2-乙基己基）酯（DEHP）残留.为提高检测的信噪比,使用四氯化碳作为萃取剂,不使用分散剂.近红外光谱数据采用偏最小二乘法分析,利用auto-scale对光谱进行预处理.偏最小二乘分析模型的主因子数为4,建模波段为4246.7～4424.1 cm-1.模型中RMSECV为0.3759,R2为0.9607.本实验结果显示了近红外方法结合涡旋辅助液液微萃取在分析环境水中的DEHP方面具有潜力. 相似文献
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基于光谱技术的苹果糖度快速无损检测研究 总被引：2，自引：0，他引：2
论文以＂红富士苹果＂为样品,研究可见/近红外光谱技术进行苹果糖度的无损检测方法。选取30个苹果,用漫反射方式获取苹果的光谱曲线,用WAY-2S数字阿贝折射仪测量苹果的糖度,对光谱曲线进行平滑和消除噪声预处理后,用偏最小二乘法（PLS）对糖度建立相应的光谱预测模型。结果表明,糖度的模型稳定性较好,相关系数r达到了0.869,说明可见/近红外光谱技术可以进行苹果糖度的检测。 相似文献
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采用化学方法测定了不同女贞子样品的蛋白质、脂肪和可溶性多糖含量,并对女贞子样品同时进行了近红外光谱测定.基于离散小波变换对女贞子近红外光谱的处理,探讨了同时测定女贞子蛋白质、脂肪和多糖含量的支持向量回归模型和偏最小二乘方法.结果表明:将离散小波变换与支持向量回归模型结合,可明显提高支持向量回归模型对女贞子样品中蛋白质、脂肪和可溶性多糖的预测准确度,结果满意. 相似文献
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目的:近红外光谱分析(NIR)无损快速检测茶叶中咖啡碱成分,并建立模型。方法:按照国标GB/T8303-2002方法,将样品磨碎并测得化学值浓度,在近红外波段结合偏最小二乘法(PLS),建立20种不同浓度的茶叶近红外光谱和咖啡碱浓度的数学模型。结果:咖啡碱在1 900nm处建立的校正模型相关系数为0.931 7,均方根误差0.074 89。在2 212nm处所建立的校正模型相关系数为0.986 4,均方根误差为0.002 08。结论:近红外光谱法可作为一种快速有效地检测茶叶品质的方法。 相似文献
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范常龙 《荆门职业技术学院学报》2010,25(9):36-37,40
目的：采用近红外漫反射光谱法对安乃近片的含量进行定量分析。方法：从某药业公司抽得安乃近片16批,在市场上购得该厂生产的安乃近片10批,经实验室检验含量是否合格。将这26批样品经内部交叉验证建立预测模型,从样品中自动选取55%为验证集,进行外部验证。结果：通过近红外测得的值跟实验室测得的值接近。结论：安乃近片用近红外漫反射光谱法预测含量,无损检测,比常规测量速度快且简便,用于药品检测及日常监管中具有可行性。 相似文献
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PVC食品包装膜中增塑剂DEHA的测定 总被引：7，自引：0，他引：7
利用ATR技术测定样品的红外光谱，采用偏最小二乘法对所测的红外谱图进行分析，建立了一种无损快速分析方法，定量测定了PVC食品包装膜中增塑剂DEHA的含量。结果表明，标准曲线线性关系良好，相关系数为0．9999。该方法不受基体的干扰，结果可靠，简单快速，适合于流水线的质量控制。 相似文献
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王成云 《宁波职业技术学院学报》2007,11(5):95-99
为了在线监控聚氯乙烯塑料中增塑剂的含量,采用傅立叶变换红外光谱-ATR技术进行光谱测定,利用偏最小二乘法对所测的谱图进行分析,建立了聚氯乙烯塑料中四种不同类型的增塑剂的无损定量测定方法,同时测定了聚氯乙烯塑料中邻苯二甲酸酯类增塑剂、己二酸酯类增塑剂、柠檬酸酯类增塑剂和磷酸酯类增塑剂。该方法不受基体干扰,结果可靠,简单快速,适合于流水线的质量控制。 相似文献
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Application Fourier transform near infrared spectrometer in rapid estimation of soluble solids content of intact citrus fruits 总被引：1，自引：0，他引：1
Lu HS Xu HR Ying YB Fu XP Yu HY Tian HQ 《Journal of Zhejiang University. Science. B》2006,7(10):794-799
INTRODUCTION Soluble solids content (SSC) is a major charac- teristic used for assessing citrus fruit quality. Near-infrared spectroscopy (NIRS) has been used as a rapid and nondestructive technique for determining the soluble solids content of fruit. Kawano et al.(1992) measured sugar content of peaches in the wavelength region of 680~1235 nm. Their experiments indicated good correlation between the NIR spectra and the sugar content (r=0.97, SEP=0.05 °Brix). Slaughter (1995) devel… 相似文献
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To compare mid-infrared(MIR)and near-infrared(NIR)spectroscopies for the determination of the fat and protein contents in milk,the same sample sets with varying concentrations of fat and protein were measured in the MIR range of 3 200-700 cm-1 and NIR range of 9 000-4 000 cm-1.The spectral features in the two regions were analyzed.The MIR spectra of milk were characteristic due to the MIR inherent molecular specificity,whereas the NIR spectra were relatively characterless due to the NIR low selectivity.Partial least squares(PLS)regression models for fat and protein were developed by using both MIR and NIR spectra.MIR data with no pretreatment gave better results than NIR data.The square correlation coefficient(R2)and the root mean square error of prediction(RMSEP)were 0.98 and 0.10 g/dL for fat and 0.97 and 0.11 g/dL for protein.With NIR techniques,satisfactory results were not obtained with raw data.However,NIR data after pretreatment gave similarly good results to the ones using MIR method.This paper indicates that either of the MIR and NIR spectral methods is reliable for the determination of the fat and protein contents. 相似文献
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INTRODUCTION Determination of fruit and vegetable quality is very important for both producers and processors. Watermelon as a delicious fruit has been widely ac-cepted in the world and its internal quality is impor-tant for consumers and merchants. The current fa-vorite way for checking a watermelon is to sense sound or vibration by slapping or rapping it. It is time consuming, tedious, and subject to error. Several studies on assessing the quality of watermelon based on its acoustic o… 相似文献
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Xia-ping Fu Jian-ping Li Ying Zhou Yi-bin Ying Li-juan Xie Xiao-ying Niu Zhan-ke Yan Hai-yan Yu 《Journal of Zhejiang University. Science. B》2009,10(2):120-125
The near infrared (NIR) spectroscopy technique has been applied in many fields because of its advantages of simple preparation,fast response,and non-destructiveness.We investigated the potential of NIR spectroscopy in diffuse reflectance mode for determining the soluble solid content (SSC) and acidity (pH) of intact loquats.Two cultivars of loquats (Dahongpao and Jiajiaozhong) harvested from two orchards (Tangxi and Chun'an,Zhejiang,China) were used for the measurement of NIR spectra between 800 and 2500 nm.A total of 400 loquats (100 samples of each cultivar from each orchard) were used in this study.Relationships between NIR spectra and SSC and acidity of ioquats were evaluated using partial least square (PLS) method.Spectra preprocessing options included the first and second derivatives,multiple scatter correction (MSC),and the standard normal variate (SNV).Three separate spectral windows identified as full NIR (800-2500 nm),short NIR (800～1100 nm),and long NIR (1100～2500 nm) were studied in factorial combination with the preprocessing options.The models gave relatively good predictions of the SSC of loquats,with root mean square error of prediction (RMSEP) values of 1.21,1.00,0.965,and 1.16 °Brix for Tangxi-Dahongpao,Tangxi-Jiajiaozhong,Chun'an-Dahongpao,and Chun'an-Jiajiaozhong,respectively.The acidity prediction was not satisfactory,with the RMSEP of 0.382,0.194,0.388,and 0.361 for the above four loquats,respectively.The results indicate that NIR diffuse reflectance spectroscopy can be used to predict the SSC and acidity of loquat fruit. 相似文献
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The use of near infrared (NIR) spectroscopy was proved to be a useful tool for quality analysis of fruits. A bifurcated fiber type NIR spectrometer, with a detection range of 800～2500 nm by lnGaAs detector, was used to evaluate the firmness of peaches. Anisotropy of NIR spectra and firmness of peaches in relation to detecting positions of different parts (including three latitudes and three longitudes) were investigated. Both spectra absorbency and firmness of peach were influenced by longitudes (i,ii, iii) and latitudes (A, B, C). For modeling, two thirds of the samples were used as the calibration set and the remaining one third were used as the validation or prediction set. Partial least square regression (PLSR) models for different longitude and latitude spectra and for the whole fruit show that collecting several NIR spectra from different longitudes and latitudes of a fruit for NIR calibration modeling can improve the modeling performance. In addition, proper spectra pretreatments like scattering correction or derivative also can enhance the modeling performance. The best results obtained in this study were from the holistic model with multiplicative scattering correction (MSC) pretreatment, with correlation coefficient of cross-validation rcv=0.864, root mean square error of cross-validation RMSECV=6.71 N, correlation coefficient of calibration r=0.948, root mean square error of cali-bration RMSEC=4.21 N and root mean square error of prediction RMSEP=5.42 N. The results of this study are useful for further research and application that when applying NIR spectroscopy for objectives with anisotropic differences, spectra and quality indices are necessarily measured from several parts of each object to improve the modeling performance. 相似文献
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Measurement and analysis of soil nitrogen and organic matter content using near-infrared spectroscopy techniques 总被引：2，自引：0，他引：2
Near infrared reflectance （N1R） spectroscopy is as a rapid, convenient and simple nondestructive technique useful for quantifying several soil properties. This method was used to estimate nitrogen （N） and organic matter （OM） content in a soil of Zhejiang Province, Hangzhou County. A total of 125 soil samples were taken from the field. Ninety-five samples spectra were used during the calibration and cross validation stage. Thirty samples spectra were used to predict N and OM concentration. NIR spectra of these samples were correlated using partial least square regression. The regression coefficients between measured and predicted values of N and OM was 0.92 and 0.93, and SEP （standard error of prediction） were 3.28 and 0.06, respectively, which showed that NIR method had potential to accurately predict these constituents in this soil. The results showed that NIR spectroscopy could be a good tool for precision farming application. 相似文献
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YUAN Bo MURAYAMA Koichi 《浙江大学学报(A卷英文版)》2007,8(2):171-175
INTRODUCTION The bands of near-infrared (NIR) spectra have low absorptivities, which allow in situ analysis of chemical and biological materials with no or little sample preparation. Therefore, as one of the most important nondestructive analytical techniques, NIR spectroscopy is being extensively applied in the fields of agriculture, industry, biotechnology and medicine (Siesler et al., 2002; Scarff et al., 2006; Ward et al., 2006). Recently, with instrumental developments such as Fou… 相似文献
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基于近红外光谱结合化学模式识别中的偏最小二乘法研究了一种快速、简单和低成本检测STR基因型的方法．选择STR基因座D5S818中的总串数相差较大的10—10、11—11与13—13基因型作为研究对象,将这三个基因型样本进行标准的PCR扩增并采集PCR产物的近红外光谱,以每一基因型的任意三分之二样本作为校正集,剩余三分之一作为预测集样本,探索了基于近红外光谱进行基因分型的可能性,结果发现该三类模型能够得到正确的判别,没有误判,预测集预测率达到100％．成功实现了基于近红外光谱对STR基因型的快速、简单和低成本检测． 相似文献
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INTRODUCTION Consumers’ acceptance of fresh or processedapples is the ultimate goal of apple breeders, foodscientists and supermarket managers. Internal qualityassessment has focused on two major objectives:removal of fruit with internal defects and taste selec-tion. Three major parameters including sugar content,acidity and firmness have to be taken into account todetermine the internal quality and the taste of an apple.Near infrared spectroscopy has been used to measureseveral properti… 相似文献
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To develop nondestructive acidity prediction for intact Fuji apples, the potential of Fourier transform near infrared (FT-NIR) method with fiber optics in interactance mode was investigated. Interactance in the 800 nm to 2619 nm region was measured for intact apples, harvested from early to late maturity stages. Spectral data were analyzed by two multivariate calibration techniques including partial least squares (PLS) and principal component regression (PCR) methods. A total of 120 Fuji apples were tested and 80 of them were used to form a calibration data set. The influences of different data preprocessing and spectra treatments were also quantified. Calibration models based on smoothing spectra were slightly worse than that based on derivative spectra, and the best result was obtained when the segment length was 5 nm and the gap size was 10 points. Depending on data preprocessing and PLS method, the best prediction model yielded correlation coefficient of determination (r^2) of 0.759,low root mean square error of prediction (RMSEP) of 0.0677, low root mean square error of calibration (RMSEC) of 0.0562. The results indicated the feasibility of FT-NIR spectral analysis for predicting apple valid acidity in a nondestructive way. 相似文献