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 InGaAs 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 r(cv)=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 calibration 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.
Anisotropy ; Prunus ; Spectroscopy, Near-Infrared ; methods

OBJECTIVETo establish a new method using AOTF-Near infrared spectroscopy for fast identifying Fufang Danshen tablets.

METHODNear-infrared spectroscopy of Fufang Danshen tablets from different factories and different bacth numbers were collected and the discriminant analysis model (FFDS-C) was established with principal component analysis. This model was applied to predict the the different samples of Fufang Danshn tablets.

RESULTThe model can be used to precisely identify Fufang Danshen tablets from other samples.

CONCLUSIONThe method with low consumption is simple and quick and can be applied to the identification of the Fufang Danshen tablets.

OBJECTIVETo develop a novel method to determine fastly and nondestructively the content of paeoniflorin, albiflorin and moisture in Radix Paeoniae Alba with near infrared diffuse reflection spectroscopy.

METHODMultivariate calibration models based on PLS algorithm were developed to correlate the spectra and the corresponding values determined by the reference method.

RESULTThe corelation coefficients (R2) of the calibration models were 0.938, 0.943 and 0.976, and the prediction average relative deviation for paeoniflorin, albiflorin and moisture content were 6.5%, 0.23% and 3.8%, respectively.

CONCLUSIONThe NIRS determination method is rapid, accurate, nondestructive and non-pollution. It can dispose the samples without complicated pretreatment. It is qualified to analyze rapidly traditional Chinese medicine whose components are complex. NIRS can be used to control the quality of herbal material of paeony formula granule.

OBJECTIVETo determine the total content of 10 ginsenosides in Yiqifumai lyophilized injection by near infrared spectroscopy.

METHODSixty samples were collected and determined of the total contents of ten ginsenosides by HPLC. The optimal calibration model was established by the contents of 10 ginsenosides in fifty samples and their NIR spectroscopy using the PLS. And the contents of 10 samples were successfully predicted.

RESULTWhen using the pretreatment of the first derivative and MSC in the range of 4 246.8 - 4 602.2, 5 446.8 - 61 02.6 cm(-1), the best dimension was 9, and the quantitative model was accurate. The R2 was 94.2, and the RMSECV was 0.186. The RMSEP of ten samples was 0.234.

CONCLUSIONThis method is easy, rapaid and precise, and can be used to determine the content of 10 ginsenosides in Yiqifumai lyophilized injection.

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 loquats 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 (800approximately2500 nm), short NIR (800approximately1100 nm), and long NIR (1100approximately2500 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 degrees 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.
Eriobotrya ; chemistry ; Hydrogen-Ion Concentration ; Least-Squares Analysis ; Spectroscopy, Fourier Transform Infrared ; methods ; Spectroscopy, Near-Infrared ; methods

PURPOSE: The aim of this Fourier transform infrared (FTIR) spectroscopic study was to measure the degree of conversion (DC) of dual-cured resin cements light-irradiated through zirconia ceramic disks with different thicknesses using various light-curing methods. MATERIALS AND METHODS: Zirconia ceramic disks (KT12) with three different thicknesses (1.0, 2.0, and 4.0 mm) were prepared. The light transmittance of the disks was measured using ultraviolet visible near-infrared spectroscopy. Four different light-curing protocols were used by combining two curing light modes (Elipar TriLight (standard mode) and bluephase G2 (high power mode)) with light-exposure times of 40 and 120 seconds. The DCs of the two dual-cured resin cements (Duo-Link and Panavia F2.0) light-irradiated through the disks was analyzed at three time intervals (3, 7, and 10 minutes) by FTIR spectroscopy. The data was analyzed using repeated measures ANOVA (alpha=.05).Two-way ANOVA and Tukey post hoc test were used to analyze the 10 minute DC results. RESULTS: The 1.0 mm thick disk exhibited low light transmittance (<25%), and the transmittance decreased considerably with increasing disk thickness. All groups exhibited significantly higher 10 minute DC values than the 3 or 7 minute values (P<.05), but some exceptions were observed in Duo-Link. Two-way ANOVA revealed that the influence of the zirconia disk thickness on the 10 minute DC was dependent on the light-curing methods (P<.001). This finding was still valid even at 4.0 mm thickness, where substantial light attenuation took place. CONCLUSION: The curing of the dual-cured resin cements was affected significantly by the light-curing technique, even though the additional chemical polymerization mechanism worked effectively.
Ceramics* ; Fourier Analysis ; Methods ; Polymerization ; Polymers ; Resin Cements* ; Spectroscopy, Fourier Transform Infrared ; Spectroscopy, Near-Infrared ; Spectrum Analysis ; Zirconium

Sweetpotato starch thermal properties and its noodle quality were analyzed using a rapid predictive method based on near-infrared spectroscopy (NIRS). This method was established based on a total of 93 sweetpotato genotypes with diverse genetic background. Starch samples were scanned by NIRS and analyzed for quality properties by reference methods. Results of statistical modelling indicated that NIRS was reasonably accurate in predicting gelatinization onset temperature (T(o)) (standard error of prediction SEP=2.014 degrees C, coefficient of determination RSQ=0.85), gelatinization peak temperature (T(p)) (SEP=1.371 degrees C, RSQ=0.89), gelatinization temperature range (T(r)) (SEP=2.234 degrees C, RSQ=0.86), and cooling resistance (CR) (SEP=0.528, RSQ=0.89). Gelatinization completion temperature (T(c)), enthalpy of gelatinization (DeltaH), cooling loss (CL) and swelling degree (SWD), were modelled less well with RSQ between 0.63 and 0.84. The present results suggested that the NIRS based method was sufficiently accurate and practical for routine analysis of sweetpotato starch and its noodle quality.
Food Technology ; methods ; Ipomoea batatas ; chemistry ; Spectroscopy, Near-Infrared ; methods ; Starch ; chemistry

It is of great clinical significance to investigate noninvasive glucose detection. As one of the most potential methods, the noninvasive glucose detection based on near-infrared has become a hot research area recently. In this paper the principles and research methods of noninvasive glucose detection based on near-infrared spectrum are introduced. With the comparison between the research status at home and abroad in recent years, we summarize and discuss crucial issues in near-infrared noninvasive glucose detection, such as the selection of measurement method, selection of measurement position and choice of wavelength, and, furthermore, setting up models.
Blood Glucose ; analysis ; Diabetes Mellitus ; blood ; Humans ; Monitoring, Physiologic ; methods ; Spectroscopy, Near-Infrared ; instrumentation ; methods

Near-infrared (NIR) spectroscopy combined with chemometrics techniques was used to classify the pure bayberry juice and the one adulterated with 10% (w/w) and 20% (w/w) water. Principal component analysis (PCA) was applied to reduce the dimensions of spectral data, give information regarding a potential capability of separation of objects, and provide principal component (PC) scores for radial basis function neural networks (RBFNN). RBFNN was used to detect bayberry juice adulterant. Multiplicative scatter correction (MSC) and standard normal variate (SNV) transformation were used to preprocess spectra. The results demonstrate that PC-RBFNN with optimum parameters can separate pure bayberry juice samples from water-adulterated bayberry at a recognition rate of 97.62%, but cannot clearly detect water levels in the adulterated bayberry juice. We conclude that NIR technology can be successfully applied to detect water-adulterated bayberry juice.
Beverages ; analysis ; Food Contamination ; Myrica ; Neural Networks (Computer) ; Principal Component Analysis ; methods ; Spectroscopy, Near-Infrared ; methods

The real-time in vivo measurement method has been urgently needed in the research of pharmacokinetics. In the present paper a new in vivo detection method based on fluorescence spectroscopy has been proposed and the monitoring system has been built which is used for pharmacokinetics studies in rats. The relationship between fluorescence intensity and concentration was obtained. By detecting the fluorescent dye Cypate in real-time in rats, the properties of the system have been validated by comparing with the fluorescence imaging system in vitro. The results showed that the system could be feasible for: (1) The linear regression equation of Cypate concentration in the range of 0.098-25 microg/ml is y = 73.249x + 130.97 (R2 = 0.9991 and P < 0.001). RSD of high, medium and low concentration is 1.23%, 6.29% and 13.48%, respectively, and the detecting sensitivity is 0.0981 g/ml; (2) The fluorescent dye concentration from the system is consistent (r = 0.9925) with the fluorescence imaging system in vitro. The fluorescent dye metabolism in rats can be well detected. It can be concluded that a new real-time in vivo detecting method in the paper can be used in pharmacokinetics research.
Animals ; Fluorescent Dyes ; pharmacokinetics ; Rats ; Spectrometry, Fluorescence ; methods ; Spectroscopy, Near-Infrared ; methods