JOURNAL OF FOOD COMPOSITION AND ANALYSIS
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2024
·
IF 4
Dingkui Xiang,Yue Ma,Jiaxu Yao,Minjie Zhao,Haijiao Li,Eric Marchioni,Li Zhou
Shiitake mushroom ( Lentinus edodes ), as a prestigious edible mushroom and one of the most famous medicinal mushrooms, is cultivated in several regions of China. In this study, the total lipids of shiitake mushroom from different origins were characterized by ultra-high-performance liquid chromatography-quadrupole-Exactive-Orbitrap MS/MS (UHPLC-QE Orbitrap/MS/MS). 20 lipid classes and 174 lipid molecular species were determined by non-targeted lipodomics analysis. The multivariate analysis showed that 19 lipids were screened as potential markers for distinguishing shiitake mushroom of different origins, for instance, phosphatidic acid (18:2/18:2) (PA 18:2/18:2) and phosphatidylglycerol (16:0/18:2) (PG 16:0/18:2). And the Partial Least Squares-Discriminant Analysis (PLS-DA) model reconstructed was used to distinguish shiitake mushroom from different regions with a success rate of 100 %. This work comprehensively provided the lipid information of shiitake mushroom and demonstrated the great potential of lipidomics for tracing the authenticity of shiitake mushrooms from different origins.
研究领域:
食品科学
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分析化学
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生物化学
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产品关联
DOI
高影响因子
MOLECULES
·
2022
·Vol. 27
·期 9
·2982
·
IF 4.927
Chao Ji,Jinyu Liu,Qin Zhang,Juan Li,Zhiqiang Wu,Xingyu Wang,Yuxin Xie,Jiangchao Zhao,Rui Shi,Xing Ma,Mohammad Rizwan Khan,Rosa Busquets,Xiahong He,Youyong Zhu,Shusheng Zhu,Wenjie Zheng
Panax notoginsengis an important functional health product, and has been used worldwide because of a wide range of pharmacological activities, of which the taproot is the main edible or medicinal part. However, the technologies for origin discrimination still need to be further studied. In this study, an ICP-MS/MS method for the accurate determination of 49 elements was established, whereby the instrumental detection limits (LODs) were between 0.0003 and 7.716 mg/kg, whereas the quantification limits (LOQs) were between 0.0011 and 25.7202 mg/kg, recovery of the method was in the range of 85.82% to 104.98%, and the relative standard deviations (RSDs) were lower than 10%. Based on the content of multi-element inP. notoginseng(total of 89 mixed samples), the discriminant models of origins and cultivation models were accurately determined by the neural networks (prediction accuracy was 0.9259 and area under ROC curve was 0.9750) and the support vector machine algorithm (both 1.0000), respectively. The discriminant models established in this study could be used to support transparency and traceability of supply chains ofP. notoginsengand thus avoid the fraud of geographic identification.Keywords:Panax notoginseng;ICP-MS/MS;multi-element;origin discrimination;cultivation model discrimination
研究领域:
植物学
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药学
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分析化学
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产品关联
DOI
PubMed
高影响因子
JOURNAL OF FOOD SCIENCE
·
2019
·Vol. 85
·期 1
·123-131
·
IF 2.081
Chaojun He,Ziyong Li,Hongxia Liu,Haining Zhang,Liye Wang,Hong Chen
Adlay oil (AO) is an important component of adlay seeds that has many beneficial functions to human health. In this study, the variations in the chemical composition and antioxidant activity of AOs extracted from adlay samples obtained from four main producing areas of China were first investigated. Results revealed that the AO of the adlay samples varied from 7.398 ± 0.486% to 8.464 ± 0.725%. The highest contents of total fatty acid, triolein, total phenolic, and total flavonoid were observed in Xingren AO, whereas coixol content was found to be highest in Pucheng AO. The AO samples were grouped successfully in accordance with the origins by partial least squares–discriminant analysis and hierarchical cluster analysis based on the contents of the chemical components. Furthermore, AOs exhibited considerable levels of 2,2′-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical scavenging activity (IC 50 , 0.924 ± 0.113 to 1.116 ± 0.109 mg/mL) radical scavenging activity, ferric-reducing antioxidant power (FRAP) activity (EC 50 , 0.019 ± 0.002 to 0.028 ± 0.002 mg/mL) activity, and β-carotene-linoleic acid bleaching activity (IC50, 0.233 ± 0.008 to 0.414 ± 0.012 mg/mL) activity. Total phenolic and total flavonoid both demonstrated highest correlation with ABTS values ( r = −0.952 and r = −0.960, respectively). The results derived from above studies suggest that geographic origin has a certain influence on the phytochemical profiles and antioxidant activity of the AOs. Practical Application The chemical composition and antioxidant activity of adlay oils extracted from the adlay samples obtained from four main producing areas of China were evaluated, including total fatty acid, triolein, total phenolic, and total flavonoid, and ABTS radical scavenging activity, FRAP activity, and β-carotene-linoleic acid bleaching activity.
研究领域:
食品科学
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植物化学
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营养学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
Food Bioscience
·
2025
·
IF 5.9
Jing Feng,Xiao Luo,Bo Li,Xiao-Yan Yang,Lin Zhang,Jing-Wei Huang,Yi-Chen Hu,Liang Zou,Ding-Tao Wu
Pectic polysaccharides are well-recognized as the mainly functional components in jujube fruits, which have garnered considerable attentions to be exploited into functional food products. Nevertheless, the knowledge about the influence of the producing area on their fine structural features and biological functions is still scarce, which may restrict their rational use in the functional food sector. Therefore, the structural and biological properties of pectic polysaccharides from jujube fruits (JP) collected from different producing areas were compared. The results showed that JP's physicochemical properties (e.g., total uronic acids, total bound polyphenols, molecular mass distributions, and ratios of constituent monosaccharides) varied significantly depending on the producing area. However, the primary chemical structures of JPs obtained from various producing areas were largely similar, predominantly composing of homogalacturonan and rhamnogalacturonan-I regions. Furthermore, JP's antioxidant and immunostimulatory effects also varied remarkedly depending on the producing area, primarily attributed to variations in their physicochemical properties. Particularly, JP's antioxidant activity demonstrated a significantly positive correlation with the levels of total uronic acids and total bound polyphenols, and similarly, its immunostimulatory activity was highly dependent on the level of total uronic acids. Moreover, mechanistic investigations revealed that JP could enhance immune responses via activating the Toll-like receptor 4 mediated nuclear factor-κB signaling pathway in RAW 264.7 macrophages. Collectively, the current findings could provide valuable insights for the rational application of jujube fruits and JP in the functional food sector.
研究领域:
食品科学
·
生物化学
✓ 已验证
产品关联
DOI
高影响因子
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
·
2024
·
IF 4
Yuyao Jia,Yicai Ma,Juanfang Ma,Wenqian Li,Yongan Jin,Gang Han
To reveal the quality differences of dried jujube from different producing areas and explain the argument about the ‘origin-quality’ of fruits, physical measurements, texture profile analysis, and metabolomics were used to analyze the appearance, texture, and metabolites in dried Junzao. Results showed that Shufu Junzao (SF-JZ) had the best color and Wensu Junzao (WS-JZ) had the best texture. A total of 983 metabolites were identified in dried Junzao. And 254–291 differential metabolites were found between Taigu Junzao (TG-JZ) and Xinjiang Junzao (XJ-JZ), with 91 common differential metabolites, mainly saccharides, phenolic acids, flavonoids, terpenoids, and amino acids. Pathway enrichment analysis revealed the key differential pathways were starch and sucrose metabolism, amino acid metabolism, and phenylpropanoid biosynthesis. The quality evaluation indicated that WS-JZ had the best sensory quality, TG-JZ and Cele Junzao (CL-JZ) with best nutritional quality and health value, SF-JZ had better flavor, the overall quality was best in WS-JZ and Kuerle Junzao (KEL-JZ), indicating that Wensu and Kuerle may be high-quality planting sites for Junzao in Xinjiang. Finally, 22 biomarkers were screened for dried Junzao's traceability and origin discrimination. Theoretical resources for the high-quality growth, cultivation, and exploitation of jujubes from various places are provided by this work.
研究领域:
食品科学
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植物化学
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营养学
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产品关联
DOI
高影响因子
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
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2023
·
IF 4.3
Li Zhou,Yuting Guan,Jiaxu Yao,Minjie Zhao,Haiyan Fu,Jikai Liu,Eric Marchioni
Lilium brownii var. viridulum Baker is an economically important plant, and its bulbs are popular among consumers for their high nutritional value. Due to the influence of environment, the chemical composition of lily from different origin is different, which leads to the different medicinal and nutritional values. Thus, it is very significant and necessary to discriminate the origins of lily. In this study, lipid classes and molecular species of lily samples from eight origins were identified and quantified by UHPLC-QE-Orbitrap/MS/MS and combined with chemometrics for modeling and analysis. The results showed that a total of 16 lipid classes and 88 lipid molecules were identified and quantified. The partial least squares discriminant analysis (PLS-DA) showed that there were significant differences in lipid metabolites between LH (Daodi) and other origins. And 39 characteristic compounds such as TAG 16:0/18:0/18:2, TAG 18:0/18:1/18:2, and LDGCC 15:2 could be used as the markers to identify the geographical origin of lily. This study established a new method to identify the origin traceability of lily in different production areas, and provided a theoretical basis to evaluate the nutritional value of lilies from different origins.
研究领域:
植物化学
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代谢组学
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食品科学
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产品关联
DOI
高影响因子
Scientific Reports
·
2021
·Vol. 11
·期 1
·1-9
·
IF 4.38
Huang Xiao-Ping,Lei Lei,Lei Shun-Xin,Zhu Wei-Wei,Yan Jun
Siraitia grosvenorii (LHG) is widely used as a medicinal and edible material around the world. The objective of this study was to develop an effective method for the authentication of the geographical origin of LHG in its main producing area Guangxi, China, which is identified as Chinese Protected Designation of Origin product, against other producing regions in China. The content of 14 elements (K, Na, Ca, P, Mg, Al, B, Ba, Cu, Fe, Mn, Ni, Zn, and Sr) of 114 LHG samples was determined by inductively coupled plasma optical emission spectrometry. Multivariate analysis was then performed to classify the geographical origin of LHG samples. The contents of multielement display an obvious trend of clustering according to the geographical origin of LHG samples based on radar plot and principal component analysis. Finally, three supervised statistical techniques, including linear discriminant analysis (LDA), k -nearest neighbours (k-NN), and support vector machine (SVM), were applied to develop classification models. Finally, 40 unknown LHG samples were used to evaluate the predictive ability of model and discrimination rate of 100%, 97.5% and 100% were obtained for LDA, k -NN, and SVM, respectively. This study indicated that it is feasible to attribute unknown LHG samples to its geographical origin based on its multielement content coupled with chemometric techniques.
研究领域:
植物学
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食品科学
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分析化学
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DOI
高影响因子
Agriculture-Basel
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2024
·Vol. 14
·期 10
·1763
·
IF 3.3
Yixin Qiu,Yong Tan,Yingying Zhou,Zhipeng Li,Zhuang Miao,Changming Li,Xitian Mei,Chunyu Liu,Xing Teng
The origin of agricultural products significantly influences their quality and safety. Fluorescence spectroscopy was used to analyse Japonica rice 830, grown in different areas of Jilin Province, by examining rice seed, brown rice, and rice flour from 12 origins. Fluorescence spectra were pre-processed through normalisation and smoothing to remove noise. These processed spectra were input into decision trees, support vector machines (SVMs), K-nearest neighbour (KNN), and neural network models for classification. The analysis revealed that the combined four models achieved an average classification accuracy of 98.05% with a computation time of 180 s, while the reduced-scale models improved accuracy to 98.36% and reduced computation time to 11.25 s. Additionally, prediction models using standard rice starch content values across different states achieved R² values over 0.8. This method provides a rapid, precise approach for assessing rice quality and origin, demonstrating significant potential for application in rice analysis.
研究领域:
食品科学
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光谱学
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农业科学
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产品关联
DOI
高影响因子
Analytical Methods
·
2016
·Vol. 9
·期 1
·141-148
·
IF 1.915
Li Jia-wei,Hou Chang-jun,Huo Dan-qun,Yang Mei,Zhang Su-yi,Ma Yi,Lin Yang
The components of Chinese liquor are influenced by geographical origins and raw materials. Currently, Chinese liquor identification systems are limited and have a single application that can distinguish only one nature of flavor type and production area. Four chemical reagents were successfully used to build this 3 × 1 simple colorimetric sensor array. This is the first time that a highly accurate colorimetric Chinese liquor sensor array was fabricated using only a few array points. It could distinguish four types of Chinese base liquors from Luzhou Laojiao, nine types of Chinese liquors with different flavor types, and seven types of Chinese liquors from different geographical origins. In order to ensure the accuracy, seven parallel samples were analyzed with water used as a control. PCA proved this sensor array to be effective. In LDA and HCA, every group was clearly classified. The “leave-one-out” cross-validation method was applied with 100% prediction ability in the three experiments. According to the results of the PCA, HCA, LDA, and the “leave-one-out” method, we can deduce that this colorimetric sensor array with multiple applications has great performance in discriminating Chinese liquors.
研究领域:
分析化学
·
食品科学
✓ 已验证
产品关联
DOI
高影响因子
FOOD CHEMISTRY
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2022
·
IF 9.231
Dai-xin Yu,Xia Zhang,Sheng Guo,Hui Yan,Jie-mei Wang,Jia-qi Zhou,Jian Yang,Jin-Ao Duan
Food authenticity regarding different varieties and geographical origins is increasingly becoming a concern for consumers. In this study, headspace gas chromatography-mass spectrometry (HS-GC–MS) and fast gas chromatography electronic nose (fast GC e-nose) were used to successfully distinguish the varieties and geographical origins of dried gingers from seven major production areas in China. By chemometric analysis, a distinct separation between the two varieties of ginger was achieved based on HS-GC–MS. Furthermore, flavor information extracted by fast GC e-nose realized the discrimination of geographical origins, and some potential flavor components were selected as important factors for origin certification. Moreover, several pattern recognition algorithms were compared in varietal and regional identification, and random forest (RF) led to the highest accuracies for discrimination. Overall, a rapid and precise method combining multivariate chemometrics and algorithms was developed to determine varieties and geographical origins of ginger, and it could also be applied to other agricultural products.
研究领域:
食品科学
·
分析化学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
MICROCHEMICAL JOURNAL
·
2025
·
IF 5.1
Rao Fu,Peng Chen,Wenhao Dong,Jia Qiao,Yu Li,Mingxuan Li,Li Zeng,Chunqin Mao,Tulin Lu,Chenghao Fei
The evaluation of the herbal medicine quality often involves time-consuming and labor-intensive high-precision instrument testing. This study used Salvia miltiorrhiza as a case study, with 120 samples collected from various regions. Hyperspectral data, Fourier Transform Near-Infrared data, heavy metals and harmful elements data, and active ingredient data were systematically gathered. Using multivariate statistical analysis, multimodal information integration, and deep learning algorithms, a geographical origin tracing model was developed, achieving an accuracy rate of 100%. Additionally, spectral-ingredient prediction models for five heavy metals and harmful elements and four active components were established, allowing the heavy metals and harmful elements and active components of Salvia miltiorrhiza to be rapidly and accurately assessed. This study compared the performance of the hyperspectral and FT-NIR techniques in herbal medicine quality control. The results indicated that hyperspectral demonstrated broader applicability and superior performance in predicting heavy metals and harmful elements contents, whereas FT-NIR was more effective in analyzing chemical constituents. This research provides a scientific basis for Salvia miltiorrhiza origin tracing and quality prediction while also confirming the potential of multidimensional spectra techniques in the quality evaluation.
研究领域:
中药学
·
光谱学
·
数据分析
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产品关联
DOI
高影响因子
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
·
2025
·
IF 4.6
Xia Hua,Chunling Yin,Leqian Hu,Liuchuang Zhao,Zhimin Liu,Peng Li
s Selective probes exclusively interact with a single metal ion species. In contrast, weakly selective probes can simultaneously coordinate with multiple metal ions, generating distinct fluorescence spectral signatures. This unique attribute enables them to provide more abundant chemical information. In this study, two weakly selective fluorescent probes of imidazole derivatives were designed and synthesized. We investigated the viability of utilizing a fluorescent array to trace the origin of Poria cocos based on the variations in fluorescence intensity and position of the distinctive fluorescence peaks created by their interaction with various metal ions. Subsequently, we collected three-dimensional fluorescence spectra of the interactions between the fluorescent array sensors and Poria cocos extracts from different geographical origins. These array data were analyzed using multi-way pattern recognition methods. The U-PLS-DA model exhibited excellent performance, with a prediction accuracy of 97.56 % that exceeded that of the N-PLS-DA model. This study demonstrates that the weakly selective probe array approach integrated with chemometric analysis provides a novel strategy for the traceability of non-fluorescent foods and traditional Chinese medicines.
研究领域:
分析化学
·
药物分析
·
中药学
·
化学计量学
·
荧光探针技术
✓ 已验证
产品关联
DOI
高影响因子
危险品化学品经营许可证（带存储）