National Center for Quality Supervision and Testing of Rice Wine

Shaoxing, China

National Center for Quality Supervision and Testing of Rice Wine

Shaoxing, China
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PubMed | Shaoxing University, Centers for Disease Control and Prevention and National Center for Quality Supervision and Testing of Rice Wine
Type: | Journal: Food chemistry | Year: 2015

In the ancient history of the Yue Nation, the Chinese Tongshan kaoliang spirit (CTKS) has been one of the most popular liquor in the last 2,500 years. The most common fraudulent practice for the commercialization of CTKS is to produce and sell adulterated spirit from different geographical origins. In this study, the use of GC-flash electronic nose (EN) technique combined with chemometrics analysis has proven to provide a rapid tool for the discrimination of CTKS from different geographical origins. The discriminant models were developed by using principal component analysis (PCA), and discriminant factor analysis (DFA). In addition, the volatile organic matters of CTKS were also investigated to find out the difference between samples from varied origins and adulterated liquor. The results demonstrated that the EN technique combined with chemometrics methods could be used to fingerprinting techniques to protect the fame of the prestigious CTKS and to enable its authentication.


Peng Q.,Shaoxing University | Tian R.,Shaoxing University | Chen F.,National Center for Quality Supervision and Testing of Rice Wine | Li B.,National Center for Quality Supervision and Testing of Rice Wine | Gao H.,Centers for Disease Control and Prevention
Food Chemistry | Year: 2015

In the ancient history of the Yue Nation, the Chinese Tongshan kaoliang spirit (CTKS) has been one of the most popular liquor in the last 2500 years. The most common fraudulent practice for the commercialization of CTKS is to produce and sell adulterated spirit from different geographical origins. In this study, the use of GC-flash electronic nose (EN) technique combined with chemometrics analysis has proven to provide a rapid tool for the discrimination of CTKS from different geographical origins. The discriminant models were developed by using principal component analysis (PCA), and discriminant factor analysis (DFA). In addition, the volatile organic matters of CTKS were also investigated to find out the difference between samples from varied origins and adulterated liquor. The results demonstrated that the EN technique combined with chemometrics methods could be used to fingerprinting techniques to protect the fame of the prestigious CTKS and to enable its authentication. © 2015 Elsevier Ltd.


Peng Q.,Shaoxing University | Tian R.,Shaoxing University | Li B.,National Center for Quality Supervision and Testing of Rice Wine | Hu J.,National Center for Quality Supervision and Testing of Rice Wine | And 2 more authors.
Analytical Letters | Year: 2015

A method for luteoskyrin in Chinese rice wine was developed using high-performance liquid chromatography–ion trap tandem mass spectrometry. The detection limit of luteoskyrin was 0.10 µg/kg. The recovery values of luteoskyrin in fortified Chinese rice wine were between 85.7% and 88.9% at levels between 0.5 µg/kg and 100 µg/kg (R > 0.999). The relative standard deviations were in the range of 1.10% to 3.20%. The method achieved rapid and accurate determination of luteoskyrin in Chinese rice wine while meeting minimum residue measurement requirements. © 2015, Copyright Taylor & Francis Group, LLC.


Hu H.,Zhejiang Agriculture And forestry University | Zhang J.,Zhejiang Agriculture And forestry University | Wang H.,Zhejiang Agriculture And forestry University | Li R.,Zhejiang Agriculture And forestry University | And 5 more authors.
Environmental Science and Pollution Research | Year: 2013

Chronic exposure to arsenic (As) in rice has raised many health and environmental problems. As reported, great variation exists among different rice genotypes in As uptake, translocation, and accumulation. Under hydroponic culture, we find that the Chinese wild rice (Oryza rufipogon; acc. 104624) takes up the most arsenic among tested genotypes. Of the cultivated rice, the indica cv. 93-11 has the lowest arsenic translocation factor value but accumulates the maximum concentration of arsenic followed by Nipponbare, Minghui 86, and Zhonghua 11. Higher level of arsenite concentration (50 μM) can induce extensive photosynthesis and root growth inhibition, and cause severe oxidative stress. Interestingly, external silicate (Si) supplementation has significantly increased the net photosynthetic rate, and promoted root elongation, as well as strongly ameliorated the oxidative stress by increasing the activities of antioxidant enzymes superoxide dismutase, ascorbate peroxidase, and peroxidase in roots and/or leaves of 93-11 seedlings. Notably, 1.873 mM concentration of Si considerably decreases the total As uptake and As content in roots, but significantly increases the As translocation from roots to shoots. In contrast, Si supplementation with 1.0 mM concentration significantly increases the total As uptake and As concentrations in roots and shoots of 93-11 seedlings after 50 μM arsenite treatment for 6 days. © 2013 Springer-Verlag Berlin Heidelberg.


Shen F.,Zhejiang University | Ying Y.,Zhejiang University | Li B.,National Center for Quality Supervision and Testing of Rice Wine | Zheng Y.,National Center for Quality Supervision and Testing of Rice Wine | Hu J.,National Center for Quality Supervision and Testing of Rice Wine
Food Research International | Year: 2011

The use of Fourier transform mid-infrared spectroscopy (FT-MIR) for the rapid determination of sugars and acids in Chinese rice wine was presented in this study. Calibration models were developed by partial least squares regression (PLSR) for eleven parameters related to sugar content and acidity-namely, total sugar, non-sugar solid, glucose, maltose, isomaltotriose, isomaltose, panose, total acid, amino acid nitrogen, pH and lactic acid. In the calibration step, most of the parameters were accurately determined, obtaining regression coefficients of calibration (rcal) ranging from 0.821 to 0.991. In validation, regression coefficients of validation (rval) obtained for most parameters were higher than 0.85. Unsatisfactory predictions were obtained for isomaltotriose and isomaltose with rval being 0.488 and 0.716, respectively. The residual predictive deviation (RPD) values were also higher than or close to 2.0 for all the parameters except for isomaltose and isomaltotriose. Overall, the results indicate that MIR spectroscopy can be applied to the quality determination of Chinese rice wine. © 2011 Elsevier Ltd.


Shen F.,Zhejiang University | Ying Y.,Zhejiang University | Li B.,National Center for Quality Supervision and Testing of Rice Wine | Zheng Y.,National Center for Quality Supervision and Testing of Rice Wine | Liu X.,Zhejiang Agriculture And forestry University
International Journal of Food Properties | Year: 2012

In this study, near-infrared spectroscopy combined with spectral preprocessing methods was used for the discrimination of blended Chinese rice wine ages (3, 5, 8, and 10 years aged). Discriminant models were developed using principal component analysis, linear discriminant analysis, and discriminant partial least squares regression. The correct classifications for young wines (3 and 5 years) and aged wines (8 and 10 years) were 100% using discriminant partial least squares after spectral preprocessing. Moreover, for the classification of rice wines from the four years aged groups, 95.0% classification accuracy was obtained using discriminant partial least squares with orthogonal signal correction pretreatment in a validation sample set. Copyright © Taylor & Francis Group, LLC.


Shen F.,Zhejiang University | Ying Y.,Zhejiang University | Li B.,National Center for Quality Supervision and Testing of Rice Wine
American Society of Agricultural and Biological Engineers Annual International Meeting 2012, ASABE 2012 | Year: 2012

In this study, the influence of sample temperature on the performance of VIS/NIR spectroscopy for the determination of quality of Chinese rice wine was investigated. Five quality parameters including alcohol degree, total sugar, non-sugar solid, total acid and amino acid nitrogen were determined by reference analysis. The calibration model was established by multiple linear regression (MLR). Seven temperature levels were tested, including 5°C, 10°C, 15°C, 20°C, 25°C, 30°C, 35°C. The optimal temperature for quantification of alcohol degree, total sugar, non-sugar solid, total acid and amino acid nitrogen was found to be 15°C, 20°C, 20°C, 15°C and 20°C, respectively. The model developed for alcohol degree and total sugar were relative robustness with an RPD value over 2.5. The total acid model was moderate with an RPD value over 1.5. However, the determination of non-sugar solid and amino acid nitrogen was not satisfactory due to low a RPD value (RPD<1.5). Temperature compensation models were established for alcohol degree, total sugar and total acid based on the spectra obtained under seven temperature levels. The compensation for alcohol degree showed good performance with a RPD value of the model to 3.81. However, the compensation for total sugar and total acid was not satisfactory (RPD<1.5).


Shen F.,Zhejiang University | Ying Y.,Zhejiang University | Li B.,National Center for Quality Supervision and Testing of Rice Wine | Zheng Y.,National Center for Quality Supervision and Testing of Rice Wine | Zhou M.,National Center for Quality Supervision and Testing of Rice Wine
American Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010 | Year: 2010

In this study, the feasible use of Near-infrared (NIR) spectroscopy combined with chemometrics for the determination of β-phenylethanol content in Chinese rice wine has been preliminarily investigated. A total of 112 Chinese rice wine samples were analyzed by NIR transmission spectroscopy between 800-2500 nm. Calibration models were developed by partial least squares regression (PLSR) with gas chromatography (GC) method as the reference method. Different wavelength ranges and spectral pre-processing methods were employed in the development of calibration models. The optimal model was obtained by standard normal variate (SNV) with raw spectra using full spectral wavelength range. The calibration correlation coefficient (rcal) is 0.949, RMSEC (the value of the root-mean-square error of calibration) to 6.66 mg/L, RMSEP (the value of the root-mean-square error of prediction) to10.4 mg/L, RPD (the valve of the residual predictive deviation) to 1.83. The result shows that NIR may provide an alternative technique for the screening and detection of β-phenylethanol content in Chinese rice wine. More samples should be incorporated in further in order to build a more robust model.


Shen F.,Zhejiang University | Yang D.,Zhejiang University | Ying Y.,Zhejiang University | Li B.,National Center for Quality Supervision and Testing of Rice Wine | And 2 more authors.
Food and Bioprocess Technology | Year: 2012

Shaoxing rice wine (also called Shaoxing wine) is the most well-known Chinese rice wine in China. The common fraudulent practice in the commercialization of Chinese rice wine is to sell wines from different geographical origins under the denomination of Shaoxing rice wine. In this study, the use of near-infrared (NIR) spectroscopy combined with chemometrics as a rapid tool for the discrimination of Chinese rice wine from three geographical origins ("Fujian", "non-Shaoxing", "Shaoxing") has been preliminarily investigated. NIR spectra were collected in transmission mode in the wavelength range of 800-2,500 nm. Discriminant models were developed by principal component analysis (PCA), discriminant analysis (DA), and discriminant partial least-squares analysis (DPLS). The chemical properties of Chinese rice wine were also investigated to find out the difference between samples from three varied origins. The results showed that good classification could be obtained after spectral pre-treatment. The percentage of samples correctly classified by both DA and DPLS methods in calibration and validation set was 97. 2% and 100%, respectively. The results demonstrated that NIR could be used as a simple and rapid technique to distinguish Shaoxing wines from non-Shaoxing wines and Fujian wines. To further validate the ability of NIR spectroscopy, more samples should be incorporated to build a more robust model. © 2010 Springer Science + Business Media, LLC.

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