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Journal of Near Infrared Spectroscopy | 2015

Detection and quantification of sugar and glucose syrup in roasted green tea using near infrared spectroscopy

Li Luqing; Wei Lingdong; Ning Jingming; Zhang Zhengzhu

The adulteration of roasted green tea by sugar and glucose syrup increases the risk of moisture sensitivity and microbiological hazards in tea products and is considered to be an illegal business operation. The analytical method of high-performance liquid chromatography, which is commonly used for the detection of sugar and glucose syrup, has high specificity and sensitivity, but it is time-consuming and requires highly skilled operators. In this study, near infrared (NIR) spectroscopy combined with multivariate calibration was employed to detect and quantitatively analyse sugar and glucose syrup in roasted green tea. An orthogonal experimental design, sample preprocessing, partial least squares (PLS) models and qualitative models were systemically utilised when developing the method. The model was optimised using leave-one-out cross-validation, and its performance was tested according to root mean square error of prediction and correlation coefficient of determination for the prediction set samples. To reduce heterogeneity, tea samples were ground and homogenised before spectra were acquired. The repeatability of spectra was optimised when the powder particle size was 40–60 mesh, the pressure was 40 MPa and sample cakes had a thickness of 4 mm. PLS models of the sugar and glucose syrup (adulterants) were established under cross-validation and tested with an independent set of samples, yielding coefficients of determination of 0.998, 0.996 and 0.996, 0.998 for sugar and glucose syrup, respectively. The corresponding values for the root mean square error of calibration and prediction were found to be 0.31% and 0.43% for sugar and 0.41% and 0.30% for glucose syrup, respectively. The identification accuracies for these adulterants in roasted green tea were up to 96% and 100%, respectively. These results reveal the feasibility of using NIR spectroscopy for the detection and quantification of adulterants (sugar and glucose syrup) in roasted green tea with acceptable accuracy.


Archive | 2013

Black tea refined screening linkage-installation operation system

Xia Tao; Fang Shihui; Ning Jingming; Lu Guofu; Jiang Hong; Ren Zhongzi


Archive | 2015

Rapid discriminant method for fermentation quality of congou black tea on basis of near-infrared spectrum analysis technology

Ning Jingming; Yan Ling; Zhang Zhengzhu; Huang Caiwang; Wei Lingdong; Fang Junting


Archive | 2013

Pu-Er ripe tea fingerprint identification method based on GC/MS technology

Ning Jingming; Wan Xiaochun; Zhang Zhengzhu


Archive | 2013

HPLC-based fingerprint identification method for different Pu-Er ripe tea

Ning Jingming; Zhang Zhengzhu; Wan Xiaochun


Archive | 2013

Withering machine for tea production

Li Shangqing; Wan Xiaochun; Ning Jingming; Peng Xuequan; Lu Guofu; Ren Zhongzi


Archive | 2013

Fingerprint spectrum recognition method for Pu'er drying green raw tea and based on chemical components

Ning Jingming; Wan Xiaochun; Zhang Zhengzhu


Archive | 2015

Distinguishing method of dark green tea producing areas based on chemical components

Ning Jingming; Luo-Xian Jingli; Wan Xiaochun; Zhang Zhengzhu; Zhang Mingming


Archive | 2014

Method for identifying quality of Congou black tea based on near infrared spectrum combined with catcchins analysis technology

Ning Jingming; Yan Ling; Zhang Zhengzhu; Wan Xiaochun; Fang Junting


Archive | 2014

Preparation method of sticky rice added with superfine green tea powder for color protection

Zhang Zhengzhu; Ning Jingming; Chen Can; Mao Xiaowen; Yan Ling

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Zhang Zhengzhu

Anhui Agricultural University

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Wan Xiaochun

Anhui Agricultural University

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Li Luqing

Anhui Agricultural University

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Wei Lingdong

Anhui Agricultural University

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Xia Tao

Anhui Agricultural University

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