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Dive into the research topics where Fuping Zheng is active.

Publication


Featured researches published by Fuping Zheng.


Journal of Agricultural and Food Chemistry | 2016

Characterization of the Key Odorants in Chinese Zhima Aroma-Type Baijiu by Gas Chromatography-Olfactometry, Quantitative Measurements, Aroma Recombination, and Omission Studies.

Yang Zheng; Baoguo Sun; Mouming Zhao; Fuping Zheng; Mingquan Huang; Jinyuan Sun; Xiaotao Sun; Hehe Li

Zhima aroma-type Baijiu with typical sesame aroma is particularly popular in northern China. To our knowledge, it is still uncertain which components are important to make contributions to its unique aroma, although a few pieces of research have reported many volatile compounds in this Baijiu. The aroma-active compounds from the Baijiu were researched in this paper. A total of 56 odorants were identified in Chinese Zhima aroma-type Baijiu by aroma extract dilution analysis (AEDA). Their odor activity values (OAVs) were determined by different quantitative measurements, and then 26 aroma compounds were further confirmed as important odorants due to their OAVs ≥ 1, and these had higher values, such as ethyl hexanoate (OAV 2691), 3-methylbutanal (2403), ethyl pentanoate (1019), and so on. The overall aroma of Zhima aroma-type Baijiu could be simulated by mixing of the 26 key odorants in their measured concentrations. The similarity of the overall aroma profiles between the recombination model and the commercial sample was judged to be 2.7 out of 3.0 points. Omission experiments further corroborated the importance of methional and ethyl hexanoate for the overall aroma of Chinese Zhima aroma-type Baijiu.


Journal of Liquid Chromatography & Related Technologies | 2008

Preparative Separation and Purification of β-Caryophyllene from Leaf Oil of Vitex negundo L. var. heterophylla (Franch.) Rehd. by High Speed Countercurrent Chromatography

Jianchun Xie; Shuaibin Wang; Baoguo Sun; Fuping Zheng

Abstract High speed countercurrent chromatography (HSCCC) coupled with an evaporative light scatter detector (ELSD) was successfully applied to preparative isolation and purification of β-caryophyllene from essential oil of Vetix negundo L. var. heterophylla (Franch.) Rehd. Using either n-hexane-chloroform-acetonitrile (6:2:5) or n-hexane-dichloromethane-acetonitrile (10:3:7) as the two-phase solvent system, β-caryophyllene was separated in one run from the crude essential oil by HSCCC. However, the application of n-hexane-dichloromethane-acetonitrile (10:3:7) resulted in a higher purity and recovery of β-caryophyllene. About 85 mg of β-caryophyllene representing 97.3% by GC, was yielded from 600 mg crude essential oil when eluted with the lower phase at a flow rate of 1.5 mL.min−1.


Analytical Methods | 2015

Triple-channel comparative analysis of volatile flavour composition in raw whole and skim milk via electronic nose, GC-MS and GC-O

Na-si Ai; Huilin Liu; Jing Wang; Xiao-mei Zhang; Huijuan Zhang; Haitao Chen; Mingquan Huang; Yongguo Liu; Fuping Zheng; Baoguo Sun

A novel triple-channel comparative analysis of volatile composition in raw whole and skim milk (RWM and RSM) was developed via an electronic nose (E-Nose), headspace solid-phase micro-extraction (HS-SPME) coupled with gas chromatography-mass spectrometry (GC-MS), and gas chromatography-olfactometry (GC-O). Volatile flavour compounds from RWM and RSM caused the differences in mouthfeel characteristics by the human sensors, and also affected consumer preference. Solid state sensor technology, an E-Nose, was applied to distinguish the differences in volatiles between RWM and RSM. Headspace volatiles adsorbed by HS-SPME fiber (CAR/PDMS) were detected by GC-MS. Aroma compounds were identified by GC-O. Nine and three compounds were found to be aroma-active compounds from RWM and RSM, respectively. Octanoic acid, butanoic acid, and 3-hydroxy-2-butanone were found to be the most important aroma-active compounds in RWM, while the most important aroma-active compound of RSM was octanoic acid.


Molecules | 2015

The Occurrence of Propyl Lactate in Chinese Baijius (Chinese Liquors) Detected by Direct Injection Coupled with Gas Chromatography-Mass Spectrometry

Jihong Wu; Yang Zheng; Baoguo Sun; Xiaotao Sun; Jiyuan Sun; Fuping Zheng; Mingquan Huang

As one of the oldest distillates in the world, flavor compounds of Chinese Baijiu (Chinese liquor) were extremely complex. Propyl lactate was firstly detected by direct injection and gas chromatography-mass spectrometry (GC-MS) in 72 Chinese Baijius. The objectives were to detect the contents of propyl lactate and evaluate its contribution to the aroma of Chinese Baijiu based on odor activity values (OAVs). The levels of propyl lactate in these distillates were determined by internal standard method and selective ion monitoring (SIM), which ranged from 0.050 to 1.900 mg∙L−1 under investigation. Its detection threshold was determined by Three-Alternative Forced-Choice (3-AFC) and curve fitting (CF), which was 0.740 mg∙L−1 in 38% ethanol solution. The contribution of propyl lactate on the aroma of these distillate drinks was evaluated by their odor activity values (OAVs), which varied from 0.066 to 4.440. The OAVs of propyl lactate were found to exceed 1 in 13 Chinese Baijius, including 50° Jingzhi Guniang 5 years (4.440), 52° Jingzhi Guniang 10 years (3.024), Jingyanggang (2.568), Xianghe Ronghe Shaofang (2.313), and 1956 Laolang (1.431), which indicated that propyl lactate was one of odor-active components in these Chinese Baijius.


Food Research International | 2018

Characterization of key aroma compounds in Gujinggong Chinese Baijiu by gas chromatography–olfactometry, quantitative measurements, and sensory evaluation

Dongrui Zhao; Dongmei Shi; Jinyuan Sun; Anjun Li; Baoguo Sun; Mouming Zhao; Feng Chen; Xiaotao Sun; Hehe Li; Mingquan Huang; Fuping Zheng

One of famous Chinese Baijiu, Gujinggong (GJG) that is produced in Anhui province, belongs to the famous Luzhou-aroma type of Baijiu in regards of its unique flavor characteristics. However, its key aroma-impact volatiles have not been clearly characterized. In this study, a total of 60 aroma compounds of GJG were identified by GC-O and GC-MS, and 35 of them were further recognized as important aroma compounds owing to their OAVs≥1 and sensory evaluation. As a result, its aroma profile was successfully simulated by reconstitution of those 35 and other 11 aroma compounds based on their measured concentrations in the GJG. Moreover, omission test was applied to investigate the effects of the important aroma compounds on the whole aroma profile of GJG. In this context, 9 aroma compounds were confirmed as the key aroma compounds of GJG.


RSC Advances | 2018

Cytoprotective effects of a tripeptide from Chinese Baijiu against AAPH-induced oxidative stress in HepG2 cells via Nrf2 signaling

Jihong Wu; Baoguo Sun; Xuelian Luo; Mouming Zhao; Fuping Zheng; Jinyuan Sun; Hehe Li; Xiaotao Sun; Mingquan Huang

Antioxidant peptides have been widely reported, whereas the intracellular antioxidant activity of a tripeptide (Pro-His-Pro, PHP), which was newly isolated and identified from Chinese Baijiu in our previous study, are still poorly understood. This study investigated the protective effects of PHP on 2,2′-azobis (2-methyl-propanimidamidine) dihydrochloride (AAPH)-induced oxidative stress in HepG2 cells and the involved molecular mechanisms. Pretreatment with PHP suppressed the generations of reactive oxygen species (ROS), malondialdehyde (MDA) and oxidized glutathione (GSSG), prevented a decrease in reduced glutathione (GSH), and up-regulated the activities of cellular antioxidant enzymes. Moreover, PHP treatment stimulated the mRNA and protein expression levels of antioxidant enzymes and nuclear factor E2 related factor 2 (Nrf2). Meanwhile, PHP markedly reduced the level of Kelch-like ECH-associated protein 1 (Keap1), suggesting that PHP effectively activated Nrf2/antioxidant response element (ARE)-mediated activity. These findings provide the first molecular basis for the health-promoting effects of PHP to prevent AAPH-induced oxidative stress.


European Food Research and Technology | 2018

Joint direct injection and GC–MS chemometric approach for chemical profile and sulfur compounds of sesame-flavor Chinese Baijiu (Chinese liquor)

Jinyuan Sun; Dongrui Zhao; Fengguo Zhang; Baoguo Sun; Fuping Zheng; Mingquan Huang; Xiaotao Sun; Hehe Li

Sesame-flavor Chinese Baijiu (SFCB) is a popular type of Chinese Baijiu because of its unique sesame-like aroma. Direct injection combined with gas chromatography–mass spectrometry (GC–MS) was successfully applied to determine volatile compounds in 36 sesame-flavor Chinese Baijiu (SFCB) samples and total of 125 volatile compounds were detected, 30 volatiles were further identified as impact aroma compounds of Guojing SFCB by aroma extract dilution analysis (AEDA). As a category of characteristic aroma compounds of SFCB, five sulfur compounds detected were quantified by internal standard method followed by GC–MS with Selected Ion Monitor (GC–MS/SIM). The contents of dimethyl disulfide and dimethyl trisulfide in most SFCB samples were extremely higher than their olfactory thresholds, which indicated these sulfur compounds made significant contribution to the aroma profile of SFCB. Composition differences between the SFCB samples of various brands were investigated. Statistical analyses on the contents of sulfur compounds and peak area data were used to distinguish SFCB samples from different brands. The results of correlation cluster analysis and principal component analysis (PCA) showed that a group of common volatile compounds appeared to occur in the SFCB samples of different brands and may constitute the aromatic skeleton for SFCB although a few particular volatiles were found to be specific for the samples of a certain brand. Therefore, differences between SFCB samples were more likely due to the distinguishing balance states established by the group of common volatiles with different concentrations rather than the presence of specific volatiles with unique aromas.


RSC Advances | 2017

Intracellular antioxidant effect of vanillin, 4-methylguaiacol and 4-ethylguaiacol: three components in Chinese Baijiu

Dongrui Zhao; Jinyuan Sun; Baoguo Sun; Mouming Zhao; Fuping Zheng; Mingquan Huang; Xiaotao Sun; Hehe Li

Vanillin, 4-methylguaiacol, and 4-ethylguaiacol, three bioactive components in Chinese Baijiu (Chinese liquor), were evaluated in terms of their possible antioxidant activities by DPPH, ABTS, ORAC, reducing power, metal chelation assays, and AAPH-induced HepG2 cell model. In in vitro chemical assays, vanillin, 4-methylguaiacol, and 4-ethylguaiacol exhibited stronger antioxidant activities than Trolox in ABTS, ORAC, and reducing power assays. Furthermore, three levels of treatment (1000, 500 and 10 mg L−1) of vanillin, 4-methylguaiacol, and 4-ethylguaiacol were assessed in the AAPH-induced HepG2 cell model. The results show that vanillin, 4-methylguaiacol, and 4-ethylguaiacol exerted similar antioxidant activities in a dose-dependent manner, and relieved the increased reactive oxygen species (ROS) quickly and efficiently; they also markedly improved AAPH-induced alterations in oxidative stress biomarkers and antioxidant enzymes, and were even more effective than Trolox. These findings indicate that vanillin, 4-methylguaiacol, and 4-ethylguaiacol are potent natural antioxidants in Chinese Baijiu, and this lays the foundation for better illustrating the health benefits of Chinese Baijiu.


Analytical Methods | 2017

NIR hyperspectral imaging with multivariate analysis for measurement of oil and protein contents in peanut varieties

Jun-Hu Cheng; Huali Jin; Zhongyue Xu; Fuping Zheng

The potential of hyperspectral imaging in the spectral range of 1000–2500 nm with multivariate analysis for the prediction of oil and protein concentrations in five peanut cultivars was investigated. Quantitative partial least squares regression (PLSR) models were established using the extracted spectral data from hyperspectral images and the reference measured oil and protein concentrations. The PLSR models established using the whole spectral data pretreated by the multiplicative scatter correction (MSC) method showed good results for predicting the oil concentration with a determination coefficient (RP2) of 0.945 and root mean square errors of prediction (RMSEP) of 0.196 and for predicting the protein concentration with RP2 of 0.901 and RMSEP of 0.441. In addition, eight optimal wavelengths were selected for protein and oil contents, respectively, using the regression coefficients of the PLSR analysis and used for simplifying the obtained models. The simplified PLSR models also showed good performances with Rp2 of 0.933 and 0.912 for predicting oil and protein concentrations. The whole results demonstrated that the NIR hyperspectral imaging technique coupled with chemometric analysis is a promising tool for rapid and non-destructive determination of oil and protein concentrations in peanut kernels and has the potential to develop a multispectral imaging system for future on-line detection of peanut quality.


Journal of Dairy Science | 2016

Lipase-catalyzed modification of the flavor profiles in recombined skim milk products by enriching the volatile components.

X.M. Zhang; N.S. Ai; Jing Wang; L.J. Tong; Fuping Zheng; Baoguo Sun

The purpose of this study was to modify the amount and composition of volatile components in bovine milk products, in an attempt to create a recombined skim milk product with full-fat milk flavor but with only 0.5% fat. The experimental plan included lipase-catalyzed hydrolysis and esterification reactions using Palatase 20000L (Novozymes, Bagsværd, Denmark). The results, measured by the methods of volatile compositional analysis and sensory evaluation, showed that the flavor profiles of the optimal recombined milk products were effectively modified in this way, possessing intensified characteristic volatile flavor components with rather low level of fat contents, and the sensory characters were quite realistic to natural whole milk flavor.

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Dive into the Fuping Zheng's collaboration.

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Baoguo Sun

Beijing Technology and Business University

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Mingquan Huang

Beijing Technology and Business University

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Jianchun Xie

Beijing Technology and Business University

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Xiaotao Sun

Beijing Technology and Business University

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Yuping Liu

Beijing Technology and Business University

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Hehe Li

Beijing Technology and Business University

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Hongyu Tian

Beijing Technology and Business University

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Haitao Chen

Beijing Technology and Business University

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Jinyuan Sun

Beijing Technology and Business University

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Mouming Zhao

South China University of Technology

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