Article
Chemistry, Applied
Huijun Wang, Xueli Cao, Zhengfang Yuan, Guiyi Guo
Summary: This study analyzed 66 Xinyang Maojian tea samples and found that the quality and flavor of green tea are influenced by factors such as cultivar, elevation, and processing methods. 27 metabolites were closely correlated with elevation and significantly affected the umami flavor of tea. This comprehensive research provides valuable reference for other types of tea.
Article
Chemistry, Analytical
Wenhui Lu, Jing Chen, Xuebo Li, Yinghua Qi, Rui Jiang
Summary: In this study, a comprehensive analysis of volatiles in five popular Huaguo Tea samples was conducted using gas chromatography-ion mobility spectrometry (GC-IMS) combined with multivariate statistical strategies. A total of 180 volatiles were distinguished, mainly consisting of alcohols, aldehydes, esters, and ketones. Multivariate statistical analysis, including principal component analysis (PCA) and orthogonal partial least squares discrimination analysis (OPLS-DA), successfully distinguished different Huaguo Tea samples.
ANALYTICA CHIMICA ACTA
(2023)
Article
Food Science & Technology
Wen Ouyang, Yaya Yu, Huajie Wang, Yongwen Jiang, Jinjie Hua, Jingming Ning, Haibo Yuan
Summary: This study investigated the evolution and formation mechanisms of volatile metabolites during the processing of strip green tea (SGT). The fixation and rubbing processes were found to play key roles in SGT aroma formation. Fatty acid-derived volatiles and glycoside-derived volatiles were identified as significant contributors to SGT aroma, and their derivation laws during SGT manufacturing were clarified. The study also explored the effect of rubbing degree on volatile metabolite formation and identified key differential volatile metabolites.
FOOD RESEARCH INTERNATIONAL
(2022)
Article
Food Science & Technology
Hui-Wen Gu, Xiao-Li Yin, Tian-Qin Peng, Yuan Pan, Hui-Na Cui, Zhi-Quan Li, Weiqing Sun, Baomiao Ding, Xian-Chun Hu, Zi-Hong Zhang, Zhi Liu
Summary: This study proposes a novel two-dimensional fingerprinting method using HPLC-DAD to identify the geographical origins of Chinese green teas. Through multivariate curve resolution and orthogonal partial least squares-discriminant analysis, characteristic components were identified as chemical markers to distinguish between different tea origins.
Article
Environmental Sciences
Hyeon-Jeong Lee, Jonghwa Jin, Yoondam Seo, Inseon Kang, Junghyun Son, Eugene C. Yi, Hophil Min
Summary: This study explores the metabolic profiles of rats exposed to DEHP, revealing the specific toxic effects of DEHP based on sex and sexual maturity. The study shows disruptions to steroid hormone and primary bile acid biosynthesis, as well as associations with heart, liver, and kidney damage. The findings contribute to our understanding of the health risks associated with DEHP exposure.
Article
Agriculture, Multidisciplinary
Jiazheng Lin, Fei Liu, Xiaofen Zhou, Zheng Tu, Lin Chen, Yuwan Wang, Yunfei Yang, Xun Wu, Haowei Lv, Hongkai Zhu, Yang Ye
Summary: This study comprehensively analyzed the metabolites in withered tea leaves under red light and dark conditions, revealing that amino acids, catechins, and dimeric catechins are most affected by red light treatment. The results provide insight into the dynamic effects of red light on tea withering and its application in quality control during tea processing.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2022)
Article
Food Science & Technology
Rosaria Cozzolino, Matteo Stocchero, Rosa Perestrelo, Jose S. Camara
Summary: The volatile profiles of eight saffron samples grown in different geographical districts were studied using HS-SPME/GC-MS. Several key odorants and pharmacologically active metabolites were identified, and the samples were successfully differentiated based on variety using multivariate statistical analysis.
Article
Chemistry, Analytical
Magdalena Wrona, Davinson Pezo, Maria Anna Rovito, Paula Vera, Cristina Nerin, Esther Asensio
Summary: A study was conducted to analyze the volatile compounds in samples of Arctostaphylos uva ursi collected from different locations in Spain. A total of 107 different compounds were identified, with esters, phenols, and aromatic compounds showing the most promising antioxidant capacity. Principal component analysis was used to distinguish between the samples, taking into account factors such as insolation, altitude, and latent structures. Discriminant analysis helped control the type and concentration of metabolites and determine the best plant antioxidant profiles. The study identified 20 quality markers for the analyzed plants, with the highest antioxidant capacity and phenolic content found in samples collected from Pina de Montalgrao and Loarre.
Article
Food Science & Technology
Shuting Fang, Shuqin Liu, Juyi Song, Qihong Huang, Zhangmin Xiang
Summary: A new automatic approach for detecting in vivo volatile metabolites emitted from foodborne pathogens was proposed by coupling SPME technique with GC-GC-QTOFMS. A novel polymer composite based SPME probe was utilized for sensitive extraction of untargeted metabolites.
FOOD RESEARCH INTERNATIONAL
(2021)
Article
Biochemistry & Molecular Biology
Fakir Shahidullah Tareq, Raghavendhar R. Kotha, Savithiry Natarajan, Jianghao Sun, Devanand L. Luthria
Summary: The differential metabolite profiles of wild and cultivated soybeans were compared using untargeted metabolomics. Methanol and water extracts of soybean seeds were analyzed by UHPLC-HRMS, resulting in the identification of 98 metabolites. The metabolite profile was significantly affected by the extraction solvent polarity, and wild and cultivated soybean cultivars showed clear differences. Key metabolites differentiating wild and cultivated soybeans were isoflavonoids, free amino acids, and fatty acids. This metabolic information has implications for the development of improved soybean varieties.
Article
Food Science & Technology
Yingqing Ye, Jiazheng Lin, Junfeng Yin, Hua-Feng He
Summary: Fermentation is crucial for black tea production. The ratio of ss-cyclocitral to.-pylpyrone was found to be positively correlated with the sensory score of black tea. Metabolomics analysis revealed significant metabolic differences during fermentation, providing valuable insights for the intelligent modulation of black tea production.
FOOD RESEARCH INTERNATIONAL
(2023)
Article
Chemistry, Analytical
Yunxia Yuan, Qiong Wu, Jing Zhao, Zhiao Feng, Jiani Dong, Ming An, Guodong Wu, Feng Qin, Longshan Zhao
Summary: This study utilized an integrated approach of metabolomics and network pharmacology to elucidate the pathogenesis of AML, identifying potential therapeutic targets such as ALDH, CYP2E1, and CYP3A4. Metabolic profiling and network construction revealed aberrant pathways related to AML, providing insights for understanding the disease mechanisms and treatment options.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
(2021)
Article
Biochemical Research Methods
Delphine Zanella, Tiffany Liden, Jamie York, Flavio A. Franchina, Jean-Francois Focant, Kevin A. Schug
Summary: The study evaluated the effect of different in vitro stress conditions on the metabolism of common lung pathogens and used metabolite profiling to distinguish the bacteria. Targeted methodology was effective in normal conditions, while untargeted methodology proved more valuable in stress environments, providing global and accurate differentiation of the three bacteria. Specific species-specific metabolites were identified, and the untargeted approach demonstrated importance in infectious disease diagnosis by aiding in accurate classification of microorganisms in unusual growth environments.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Applied
Pakawat Sirilertpanich, Paweena Ekkaphan, Tushar Andriyas, Nisa Leksungnoen, Siriphat Ruengphayak, Apichart Vanavichit, Wanchai De-Eknamkul, Rossarin Tansawat
Summary: This study investigated the volatile components in Thai colored rice varieties cultivated in two agricultural locations and found that the volatile profiles differed between regions within the same country. The study also identified key aroma producers in each area and highlighted the environmental factors that can affect colored rice aroma.
Article
Endocrinology & Metabolism
Jun Kou, Chunyang He, Lin Cui, Zhengping Zhang, Wei Wang, Li Tan, Da Liu, Wei Zheng, Wei Gu, Ning Xia
Summary: The study on Chinese postmenopausal women with osteoporosis identified potential biomarkers related to metabolic pathway disorders, providing new insights for early diagnosis. The findings suggest that metabonomic analysis has great potential for application in postmenopausal women with osteoporosis.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Khodabakhsh Rashidi, Majid Mahmoudi, Ghobad Mohammadi, Mohammad Mandi Zangeneh, Shahla Korani, Hector C. Goicoechea, Hui-Wen Gu, Ali R. Jalalvand
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2018)
Article
Chemistry, Analytical
Ali R. Jalalvand, Hector C. Goicoechea, Hui-Wen Gu
MICROCHEMICAL JOURNAL
(2019)
Article
Chemistry, Analytical
Ya-Juan Liu, Geert Postma, Hai-Long Wu, Hui-Wen Gu, Chao Kang, Jeroen Jansen, Ludovic Duponchel
Article
Food Science & Technology
Tian-Qin Peng, Xiao-Li Yin, Weiqing Sun, Baomiao Ding, Li-An Ma, Hui-Wen Gu
FOOD ANALYTICAL METHODS
(2019)
Article
Chemistry, Analytical
Huai-Yuan Long, Hui-Wen Gu, Ali R. Jalalvand, Shan-Hui Zhang, Yang Liu, Wu Chen
Summary: This study proposed a method for predicting COD in high-chloride wastewater using total organic carbon (TOC) by comparing their relationship in simulated and actual oilfield wastewaters. The results showed significant linear correlations between COD and TOC in actual oilfield wastewaters, with high correlation coefficients obtained. The established conversion models successfully predicted COD values in mixed oilfield wastewaters from different stations.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY
(2021)
Article
Spectroscopy
Hui-Wen Gu, Xiao-Li Yin, Xiang-Chun Zhou, Ying Chen, Xian-Zhu Meng, Tian-Qin Peng
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2020)
Article
Chemistry, Analytical
Ling Yu, Jing-Wei Wan, Xian-Zhu Meng, Hui-Wen Gu, Ying Chen, Hong-Chao Yi
Summary: The establishment of a simple and effective method for determination of heavy metal ions is of great significance. In this study, a nanocomposite of carbon nanotubes and metal-organic frameworks was synthesized and used for constructing an electrochemical sensor for the detection of Cd(2+). The sensor showed satisfactory analytical performance with a wide linear detection range, good selectivity, and achieved successful detection of Cd(2+) in real samples.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY
(2022)
Article
Food Science & Technology
Qiao Wu, Hui-Wen Gu, Xiao-Li Yin, Hui-Hui Zhou, Hai-Yan Chang, Jie Shi, Ying Chen, Xiu-Fang Yan, Zhi Liu
Summary: This study successfully differentiated Chinese red wines from different geographical origins using the HPLC-DAD method combined with chemometrics. The MCR-ALS extracted pure chromatographic and spectral profiles, allowing for quantification of phenolic compounds in the presence of overlapping peaks. Unsupervised PCA and HCA, as well as supervised OPLS-DA methods, were used to analyze the data and predict the geographical origins of the red wines.
FOOD ANALYTICAL METHODS
(2021)
Article
Thermodynamics
Xu Li, Qiang-Guo Li, Chuan -Hua Li, Ling-Fei Duan, Jian-Hong Jiang, Fan -Hua Zeng, Xia Li, Hui-Wen Gu
Summary: A new type of horizontal rotating micro-bomb combustion-solution isoperibol multifunctional calorimeter was constructed in this study, which differs from existing calorimeters in three main ways. The developed calorimeter was calibrated and tested with various substances to demonstrate the reliability and feasibility of its combustion and solution calorimetric systems.
JOURNAL OF CHEMICAL THERMODYNAMICS
(2021)
Article
Chemistry, Applied
Yuan Pan, Hui-Wen Gu, Yi Lv, Xiao-Li Yin, Ying Chen, Wanjun Long, Haiyan Fu, Yuanbin She
Summary: This study established an UPLC-QTOF-MS-based untargeted metabolomic approach to discriminate the geographical origins of Chinese red wines. Significant differences were observed between wine samples from different regions in China. The identified markers successfully discriminated external validation wine samples with a recognition rate of up to 96.7%.
Article
Food Science & Technology
Wanjun Long, Xiuyun Bai, Siyu Wang, Hengye Chen, Xiao-Li Yin, Hui-Wen Gu, Jian Yang, Haiyan Fu
Summary: In this study, an untargeted metabolomic strategy based on UHPLC-QTOF-MS was established to discover the differential metabolites in Chrysanthemum morifolium Ramat cv. Hangbaiju samples from four different origins and explore the possible relationship with mineral elements in planting soils by chemometric analysis. The results indicated that the contents of differential metabolites in Hangbaiju samples seemed to be affected by soil mineral elements and therefore resulted in the geographical differences.
FOOD RESEARCH INTERNATIONAL
(2023)
Article
Chemistry, Applied
Wanjun Long, Siyu Wang, Chengying Hai, Hengye Chen, Hui-Wen Gu, Xiao-Li Yin, Jian Yang, Haiyan Fu
Summary: In this study, an untargeted metabolomic method based on UHPLC-QTOF-MS was used to reveal the differential chemical constituents of lily bulbs and predict their geographical origins. A total of 15 differential compounds were identified using the AntDAS software. Principal component analysis and hierarchical cluster analysis showed clear differentiation among samples from different origins. Furthermore, key characteristic markers were discovered using partial least squares-discriminant analysis and orthogonal partial least squares-discriminant analysis. The proposed strategy successfully discriminated external validation lily bulb samples with a recognition rate of 100%.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2023)
Review
Chemistry, Analytical
Tao Geng, Yan Wang, Xiao-Li Yin, Wu Chen, Hui-Wen Gu
Summary: Petroleum-containing substance (PCS) is a general term for petroleum and its derivatives. Fluorescence spectroscopy, especially excitation-emission matrix fluorescence (EEMF) spectroscopy, is a powerful tool for characterizing PCSs due to its sensitivity, selectivity, simplicity, and efficiency. This paper reviews the principles and measurements of EEMF, introduces information mining methods, and discusses recent advances and limitations in applying EEMF to characterize PCSs. The need to build a comprehensive EEMF fingerprint library and explore high-dimensional chemometrics and deep learning for more complex systems is proposed.
CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Multidisciplinary
Xianzhu Meng, Huiwen Gu, Xiaoli Yin, Hongchao Yi, Ying Chen
Summary: The presence of the target triggers the structural switch of a metastable hairpin template probe (MH), leading to the production of numerous DNAzyme replicates in a self-primed artificial biochemical circuit. This results in substantial signal amplification for highly sensitive colorimetric determination of nucleic acids.
CHEMICAL COMMUNICATIONS
(2023)
