JOURNAL OF FOOD QUALITY
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2020
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IF 1.763
Jiaxiu Li,Chunling Zhang,Hui Liu,Jiechao Liu,Zhonggao Jiao
A comparison of sugar and organic acid profiles among different fruit juices (including apple, pear, peach, grape, sweet cherry, strawberry, and blueberry with various varieties) was performed to assess the possibility for authentication coupled with chemometrics. It was found that the distribution of each sugar and organic acid in juices showed some specific characteristics related to fruit species, despite the fact that great differences in the content existed among different varieties. Sucrose was the most abundant sugar in peach juice, accounting for 58.26–77.11% of the total sugar content. However, in grape, blueberry, and sweet cherry juice, glucose and fructose were the predominant sugars. Pear juice contained the highest level of sorbitol, which contributed to 15.02–43.07% of the total sugar content. Tartaric acid was detected only in grape juice among the seven species of fruit juice, with a proportion of 57.95–89.68% in the total acid content. Malic acid was the predominant organic acid in apple and sweet cherry juice, accounting for 69.92–88.30% and 97.51–98.73% of the total acid content of each species. Citric acid was the predominant organic acid in strawberry and blueberry juice, which contributed to 62.39–83.73% and 73.36–89.56% of the total acid content of each species. With the aid of principal component analysis and linear discriminant analysis (LDA), the juice samples could be successfully classified according to fruit species by using the sugar and/or organic acid composition as analytical data. Combination of sugar and organic acid composition gave the best differentiation of these seven species of juices, with a 100% correct classification rate for both the original and the cross-validation method in LDA. Adding malic/citric into the dataset of the organic acid content may also improve the differentiation effect. Furthermore, the adulteration of sweet cherry juice, blueberry juice, raspberry juice, and grape juice with apple juice, pear juice, or peach juice could also be distinguished from their corresponding pure juices based on sugar and organic acid composition by LDA.
研究领域:
食品科学
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化学计量学
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DOI
高影响因子
LWT-FOOD SCIENCE AND TECHNOLOGY
·
2022
·
IF 6.056
Xiao-Hua Zhang,Jing-Jing Zheng,Xiang-Dong Qing,Fang Lin,Yan-Ting Yuan,Kai-Long Yang,Jing-Zhe Zhang,Hui-Wen Gu
The phenolic compounds are the primary ingredients contributing to the color, fragrance, and health care functions of tea. The present study sought to extract the phenolic compounds from Chinese tea samples using a novel compound salt aqueous two phase system (ATPS) with iso -propanol and two inorganic salts (sodium citrate and ammonium sulfate). The results showed that the analytes were mainly distributed in the alcohol-rich top phase within the recovery range of 82.54–110.73%. Additionally, the alternating trilinear decomposition (ATLD) algorithm combined with HPLC-DAD was employed for the simultaneous rapid quantitative analysis of six phenolic compounds in four Chinese tea samples within 7.0 min. Based on the quantitative data obtained by the proposed ATPS-ATLD method, the principal component analysis (PCA) and hierarchical cluster analysis (HCA) methods were adopted to classify and analyze the four types of Chinese teas. Overall, the proposed ATPS-ATLD method could be a potential approach for distinguishing the types of Chinese teas.
研究领域:
食品科学
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分析化学
·
植物化学
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DOI
高影响因子
ANALYTICA CHIMICA ACTA
·
2019
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IF 5.256
Zhengyi Chen,Gongke Li,Zhuomin Zhang
It remains a significant challenge for fast and high-throughput detection of trace analytes in complex samples with surface-enhanced Raman scattering (SERS) strategy due to the severe interference from matrices. In this work, a miniaturized array gas membrane separation (AGMS) device coupled with SERS was designed and drew up to eliminate matrix influence and improve the reproducibility of SERS signal during real sample analysis. The design of miniaturized AGMS tube was optimized based on quantitative calculation of its air permeability by computational fluid dynamics simulation. A 10 mm height tube was selected as an optimized design with a recovery of 98.3% for acetaldehyde. The practical feasibility of miniaturized AGMS was validated based on the applications in biochemical analysis and food analysis, such as albuminuria and acetaldehyde in urine sample and metaldehyde and thiram in food samples. The results showed that SERS responses of all analytes dramatically increased by eliminating sample matrices after miniaturized AGMS process. Acetaldehyde, albuminuria, metaldehyde and thiram in real samples could be accurately quantified with recoveries of 82.0–123.3%, and the analytical results were validated by corresponding standard methods with relative error ranging from −4.8% to 5.3%. Time consumption of miniaturized AGMS-SERS for one real sample analysis including sample preparation and determination was less than 20 min and could treat 96 samples with 45 min in one run. It is potential that the miniaturized AGMS technique automated by implementation with a robotic arm could greatly expand the range and accelerate the speed of SERS analysis.
研究领域:
分析化学
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食品科学
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生物医学工程
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产品关联
DOI
PubMed
高影响因子
INTERNATIONAL BIODETERIORATION & BIODEGRADATION
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2015
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IF 2.131
Lin-Na Du,Gang Li,Yu-Hua Zhao,He-Kun Xu,Yang Wang,Ying Zhou,Liang Wang
We investigated biodegradation of the azo dye methyl orange (MO) by Aeromonas sp. DH-6. Nearly 100% decolorization of MO (100 mg l −1 ) by the strain was observed at pH 3.0–7.0 and a broad temperature range (5–45 °C) after incubation for 12 h. Most of the tested carbon and nitrogen sources could significantly enhance MO decolorization, but of the metal ions , only Mg 2+ , Mn 2+ , and 1.5 mM of Ca 2+ could increase the decolorization. The strain still showed a high capacity for decolorizing MO even at a concentration of up to 1000 mg l −1 . Based on the gas chromatography-mass spectrometry analysis (GC-MS) and high performance liquid chromatography analysis (HPLC) data, N,N-dimethyl- p -phenylenediamine and 4-aminobenzenesulfonic acid were identified as the main intermediates of MO biodegradation, and a possible degradation pathway was proposed. Moreover, results of enzyme analysis indicated that laccase, NADH-DCIP reductase, and azo reductase were responsible for the degradation. Overall, high biodegradation efficiency at a broad range of temperatures and dye concentrations suggested that strain DH-6 would have high potential in the bioremediation of azo dyes.
研究领域:
环境科学
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微生物学
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染料降解
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产品关联
DOI
高影响因子
FOOD RESEARCH INTERNATIONAL
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2017
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IF 3.086
Chao Wang,Chenxia Zhang,Yawen Kong,Xiaopei Peng,Changwen Li,Shunhang Liu,Liping Du,Dongguang Xiao,Yongquan Xu
Dianhong teas produced from fresh leaves of different tea cultivars (YK is Yunkang No. 10, XY is Xueya 100, CY is Changyebaihao, SS is Shishengmiao), were compared in terms of volatile compounds and descriptive sensory analysis. A total of 73 volatile compounds in 16 tea samples were tentatively identified. YK, XY, CY, and SS contained 55, 53, 49, and 51 volatile compounds, respectively. Partial least squares–discriminant analysis (PLS-DA) and hierarchical cluster analysis (HCA) were used to classify the samples, and 40 key components were selected based on variable importance in the projection. Moreover, 11 flavor attributes, namely, floral, fruity, grass/green, woody, sweet, roasty, caramel, mellow and thick, bitter, astringent, and sweet aftertaste were identified through descriptive sensory analysis (DSA). In generally, innate differences among the tea varieties significantly affected the intensities of most of the key sensory attributes of Dianhong teas possibly because of the different amounts of aroma-active and taste components in Dianhong teas.
研究领域:
食品科学
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化学
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植物学
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产品关联
DOI
PubMed
高影响因子
RSC Advances
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2022
·Vol. 12
·期 40
·25852-25859
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IF 4.036
Chaoqiang Ding,Yan Ren,Xinyang Liu,Jingjing Zeng,Xinping Yu,Daxiang Zhou,Yanjie Li
Discrimination and detection of sulfur dioxide residues in foods using a simple colorimetric array have been achieved. The difference maps before and after the reaction showed that the specific color fingerprint was related to the amount of sulfur dioxide. The results of principal component analysis (PCA), hierarchical clustering analysis (HCA) and linear discriminant analysis (LDA) demonstrated that the as-fabricated colorimetric sensor array have good performance for the discrimination of sulfur dioxide and other interferents, as well as different concentrations of sulfur dioxide. Moreover, the array has been successfully applied to determine the concentration of sulfur dioxide residues in real samples and revealed good accuracy, precision and repeatability.
研究领域:
食品科学
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分析化学
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环境监测
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产品关联
DOI
PubMed
高影响因子
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES
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2021
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IF 3.205
Xiao-Pan Liu,Wen-Qian Sun,Tong-Xin Liu,Bing-Bing Liu,Chang-Po Chen
Due to the strong background interferences in the low-mass region and poor reproducibility of conventional organic matrices, it is of great importance to develop a novel matrix for matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) to qualitatively and quantitatively analyze small molecules. In this work, water-soluble fullerenol C 60 (OH) 24–26 was selected as a MALDI matrix for the analysis of low-molecular-weight compounds in consideration of optical absorption property, water solubility and stability. Compared with the traditional matrices, fullerenol demonstrated lower background interference and stronger peak intensity. In addition, the hydrophilic fullerenol could avoid the heterogeneous crystallization in sample preparation, increase the reproducibility and sensitivity of MALDI-MS, and ameliorate quantitative analysis of small molecules. With saccharin as model analyte, quantitative analysis was carried out using fullerenol as matrix. The results demonstrated satisfying reproducibility and good tolerance to salt. The limit-of-detection of the quantitative analysis was as low as 4 pmol, and the linear range is 1–100 μg mL −1 with R 2 greater than 0.99. The analytical results also showed excellent precision and accuracy, low matrix effect and good recovery rate. Fullerenol as a potential matrix was further validated in the quantification of saccharin sodium in different real food samples, such as nuts and drinks. This work not only confirms the potential of fullerenol for the quantitative analysis in food field, but also provides a new technique for rapid analysis of small molecules.
研究领域:
分析化学
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食品科学
·
质谱技术
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产品关联
DOI
PubMed
高影响因子
MICROCHEMICAL JOURNAL
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2018
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IF 2.746
Huimin Yu,Huan Du,Li Wu,Ruolin Li,Qun Sun,Xiandeng Hou
The speciation analysis of arsenic (As) has always received great attention, in which the analysis of complex matrix samples remains challenging, mainly manifested in selection of suitable sample pretreatment methods and sensitive analytical spectrometers. In this work, microwave-assisted extraction of total As and various As species in bones, with their respective determination by ICP-MS and HPLC-ICP-MS, was studied, and was successfully utilized to determine As species in panda and pig bones. The results reveal the content of As ranging from 28 to 75 μg g −1 in the panda bone samples and 0.27 μg g −1 in pig bone, in which >90% is inorganic As V except for little As III and organic As. The method could be applicable to the analysis of diverse bone samples.
研究领域:
环境科学
·
分析化学
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产品关联
DOI
高影响因子
ANALYTICAL CHEMISTRY
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2020
·
IF 6.785
Zishuai Li,Zhengmao Wang,Junmin Pan,Xiaoxiao Ma,Wenpeng Zhang,Zheng Ouyang
Single-cell metabolite analysis plays an important role in biological study. While mass spectrometry is a powerful tool for identification and quantitation of metabolites, the low absolute analyte amounts in single cell and difficulty in sampling represent significant challenges in single cell analysis. In this study, we developed an effective method with a simple sampling procedure for analyzing single cells. A single cell was driven to a capillary tip through electro-migration, followed by releasing the cell contents through electroporation, into a sealed small volume (∼1.5 pL) to prevent dilution. Subsequent mass spectrometry analysis was performed directly with nanoelectrospray ionization. This method was applied for analyzing a variety of cells and monitoring the metabolic changes in response to perturbed cell culturing conditions. This method opens a new avenue for easy and rapid analysis of single cells with high sensitivity.
研究领域:
生物化学
·
分析化学
·
细胞生物学
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DOI
高影响因子
MOLECULES
·
2022
·Vol. 27
·期 22
·7761
·
IF 4.927
Yuhong Li,Jianxiong Tang,Yueli Lin,Jiejun Li,Yaqi Yang,Pengcheng Zhao,Junjie Fei,Yixi Xie
Rutin, a natural flavonol glycoside, is widely present in plants and foods, such as black tea and wheat tea. The antioxidant and anti-inflammatory effects of flavonoids are well known. In this study, a new electrochemical rutin sensor was developed using multiwalled carbon nanotubes/aluminum-based metal–organic frameworks (MWCNT/CAU-1) (CAU−1, a type of Al-MOF) as the electrode modification material. The suspension of multiwalled carbon tubes was dropped on the surface of the GCE electrode to make MWCNT/GCEs, and CAU−1 was then attached to the electrode surface by electrodeposition. MWCNTs and CAU−1 were characterized using scanning electron microscopy (SEM) and X-ray photoelectron spectroscopy (XPS). Due to the synergistic effect of CAU−1 and MWCNT-COOH, the prepared sensor showed an ultrasensitive electrochemical response to rutin. Under optimized conditions, the sensor showed a linear relationship between 1.0 × 10−9~3.0 × 10−6M with a detection limit of 6.7 × 10−10M (S/N = 3). The sensor also showed satisfactory stability and accuracy in the detection of real samples.Keywords:electroanalysis;pyrolysis;carbon materials;drug analysis;modified electrode
研究领域:
分析化学
·
材料科学
·
电化学
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产品关联
DOI
PubMed
高影响因子
ACS Omega
·
2022
·
IF 4.132
Prince Kumar Singh,Jagreeti Singh,Tapas Medhi,Aditya Kumar
Diabetes is a group of metabolic disorders characterized by elevated blood sugar levels, leading to many undesirable health consequences. There are many herbal formulations, traditionally used by the Northeast Indian population for disease management. These formulations require scientific validations to optimize their efficacy and increase their popularity. In this study, we attempt to scientifically validate a polyherbal formulation traditionally used for the management of diabetes through preliminary phytochemicals investigation, characterization of potential phytochemicals using Fourier transform infrared (FT-IR) spectroscopy, high-resolution liquid chromatography mass spectrometry (HR-LC/MS) analysis, and in silico characterization of physiochemical, drug-likeness, and pharmacokinetic properties of identified phytochemical compounds. Qualitative phytochemical screening of various extracts of the formulation confirmed the presence of alkaloids, phenols and tannins, flavonoids, fats, and oils. Phytochemical quantification of the various extracts showed that the highest total phenolic content is present in the ethanolic extract (35.61 ± 0.15 mg GAE/g), while the highest total flavonoid content is present in the chloroform extract (76.33 ± 2.96 mg QE/g) of the formulation. FT-IR spectroscopic analysis revealed various characteristic band values with various functional groups in the formulation extract such as amines, alcohol, fluoro compounds, phenol, alkane, alkene, and conjugated acid groups. HR-LC/MS analyses identified nearly 51 compounds including 9 small peptides and 42 potential phytochemical compounds. In silico SwissADME analysis of identified compounds revealed 25 potential compounds following Lipinski’s rule and showing drug-like characteristics, and out of them, 16 compounds exhibited good oral bioavailability, as revealed in the bioavailability radar. The overall study showed that the presented polyherbal formulation is enriched with bio-active phytochemical compounds with good pharmaceutical values.
研究领域:
药理学
·
植物化学
·
生物信息学
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DOI
PubMed
高影响因子
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
·
2025
·
IF 4.6
Yangzhou Xie,Sitao Wang,Yu Tian,Kexi Ye,Zhigang Xu,Han Zheng,Wei Jiang,Fengmei Zhang,Xiaoxi Si
Excessive D-lactic acid in fermented foods can result in unpleasant flavors and is difficult for the human body to metabolize. This study is the first to combine tandem column technology (C18 and Poroshell chiral-T) with a machine learning strategy. The method achieved a resolution of 2.86, with a concentration range of 50.00 μg·L −1 -50.00 mg·L −1 and a limit of detection of 16.67 μg·L −1 . We aimed to classify different lactic acid products and tobacco, and the research showed that L-lactic acid was predominant in all food analyses , while D-lactic acid was only found in lactic acid products In addition, the machine learning algorithms were optimized, and the random forest model effectively distinguished samples with similar lactic acid content. Based on this collaborative model of tandem column and machine learning, lactic acid chiral biomarkers gained the ability to classify food samples. The accuracy of model reached 80 %. This strategy contributes to the chiral analysis of lactic acid in complex food matrices. It also demonstrates the practical value of classification in food research.
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产品关联
DOI
高影响因子
危险品化学品经营许可证（带存储）