Distinguishing Radix Angelica sinensis from different regions by HS-SFME/GC–MS

Tan, Hongsheng; Hu, Dong-Dong; Song, Jing‐Zheng; Xu, Yong; Cai, Shuangfan; Chen, Qilong; Meng, Qian-Wan; Li, Songlin; Chen, Shilin; Mao, Qian; Xu, Hong‐Xi

doi:10.1016/j.foodchem.2014.05.152

Cited by 44 publications

(28 citation statements)

References 16 publications

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“…In each dataset, the digital odour print of the samples was acquired, and each odour print was obtained by recording the percentage ratio, ∆R/R 0 , versus time (s). The class assignment was done by finding the model that best fits the unknown specimen at a specified statistical significance (Bicciato et al 2003;Tan et al 2015). DFA is an algorithm used to build models and identify the category of unknown samples.…”

Section: Methodsmentioning

confidence: 99%

Discrimination of producing areas of Astragalus membranaceus using electronic nose and UHPLC-PDA combined with chemometrics

Wen-Long¹,

Li²,

Huang³

2017

Czech J. Food Sci.

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Wei W., Li J., Huang L. (2017): Discrimination of producing areas of astragalus membranaceus using electronic nose and UHPLC-PDA combined with chemometrics. Czech J. Food Sci., 35: 40-47.Electronic nose (E-nose) and ultra-high-performance liquid chromatography (UHPLC) were simultaneously developed for quality evaluation and diversity research of a. mongholicus. Instrumental data were subjected to principal component analysis (PCA) and discriminant factor analysis (DFA) to rapidly distinguish a. mongholicus derived from different main producing regions in China. E-nose results showed that a. mongholicus that originated from main producing areas (Gansu, Shanxi, and Inner Mongolia in China) could be accurately classified into three groups through PCA and DFA. The response values of samples from Inner Mongolia and Shanxi were similar, and better than those of the samples from Gansu. Identification by the E-nose was verified through UHPLC analysis, and the content of the main ingredient was consistent with the response value of a. mongholicus. In conclusion, E-nose and UHPLC combined with chemometrics can be used as reliable techniques to distinguish the geographic origins of a. mongholicus effectively, and evaluate the quality of traditional Chinese herbs.

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Section: Methodsmentioning

confidence: 99%

Discrimination of producing areas of Astragalus membranaceus using electronic nose and UHPLC-PDA combined with chemometrics

Wen-Long¹,

Li²,

Huang³

2017

Czech J. Food Sci.

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“…Most of them have been reported in previous studies of volatile components in RAS. [39][40][41][42][43][44][45] Particularly, all of terpenes detected in the decoction were found in the RAS essential oil. Among them, the amounts of ligustilide and butylidenephthalide were the major volatile components of RAS extracts.…”

Section: Aroma-active Compounds In Optimum Decoctionmentioning

confidence: 99%

“…Among them, the amounts of ligustilide and butylidenephthalide were the major volatile components of RAS extracts. [43] Although more than 50 volatile compounds were detected in RAS, [44,45] not all of them possessed odour activity. It was necessary to investigate the aroma-active compounds in the decoction and their contribution to overall flavour properties by means of GC-O-MS and aroma dilution methods.…”

Section: Aroma-active Compounds In Optimum Decoctionmentioning

confidence: 99%

Radix Angelica sinensis soup production by decocting process using high pressure

ZeQian

Song

et al. 2017

International Journal of Food Properties

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To improve the efficiency of traditional boiling process, a new high-pressure decocting method was developed for the production of Radix Angelica sinensis (RAS) decoction with higher contents of efficacy components (Z-ligustilide and ferulic acid) and better flavour properties. Based on preliminary tests, a threelevel Box-Behnken design was employed to optimise the process parameters, including decocting temperature (120-140°C), decocting time (15-45 min), and liquid/solid ratio (35:1-45:1 mL/g). The optimal conditions were as followed: a temperature of 125°C, a decocting time of 15 min, and a liquid/solid ratio of 37:1 mL/g. In addition, 38 major aroma-active compounds in optimum decoction were identified by gas chromatography-olfactrometry-mass spectrometry (GC-O-MS). With favour dilution (FD) factors ≥81, 6-undecanone, α-pinene, hexanal, octanal, furfural, benzaldehyde, 2-methoxy-4-vinylphenol, butylidenephthalide, and ligustilide were identified as important aroma components. Furthermore, pyridine, furfural, benzaldehyde, 2-methyl-benzothiazole, benzothiazole, and 2-methylthio-benzothiazole were also found in RAS decoction, which were not detected in RAS materials in previous studies. ARTICLE HISTORY

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“…Guang Chenpi ( Citrus reticulata “Chachi”), Chuan Chenpi ( C. reticulata “Dahongpao”), Zhe Chenpi ( C. reticulata “Unshiu”), and Jian Chenpi ( C. reticulata “Tangerina”) are recorded by Chinese pharmacopeia. Among of the main Chenpi cultivars, the dried ripe pericarp of C. reticulata “Chachi,” mainly produced in Xinhui district of Guangdong Province in China, named Guang Chenpi (GCP) in Chinese, is viewed as famous drug of the region on account of its superior quality (Tan et al., ).…”

Section: Introductionmentioning

confidence: 99%

“…peia. Among of the main Chenpi cultivars, the dried ripe pericarp of C. reticulata "Chachi," mainly produced in Xinhui district of Guangdong Province in China, named Guang Chenpi (GCP) in Chinese, is viewed as famous drug of the region on account of its superior quality (Tan et al, 2015).…”

mentioning

confidence: 99%

Evaluation of chemical components in Citri Reticulatae Pericarpium of different cultivars collected from different regions by GC–MS and HPLC

Luo

et al. 2017

Food Science & Nutrition

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To discriminate the feasible differences and find potential similarities and relationships of Citri Reticulatae Pericarpium (CRP), this work was accomplished by a comprehensive and reliable method using gas chromatography–mass spectrometer (GC–MS) to analyze the volatile oils and high‐performance liquid chromatography (HPLC) simultaneously to determine the contents of five bioactive flavonoids, namely hesperidin, nobiletin, 3,5,6,7,8,3′,4′‐heptamethoxyflavone, tangeretin, and 5‐hydroxy‐6,7,8,3′,4′‐pentamethoxyflavone in 25 batches of CRP samples of 10 cultivars collected from different regions in China. The GC–MS analyses indicated that 98 compounds were successfully identified from the volatile oils obtained and the major constituents of volatile oil are d‐limonene, γ‐terpinene, α‐pinene, linalool, and myrcene. Even 2‐(methylamino) benzoate was found in all cultivar samples harvested at maturation stage. Under the optimal condition, the quantitative analyses of five bioactive flavonoids were successfully performed by HPLC and hierarchical cluster analysis (HCA). Results showed significant differences among cultivars in the contents of five bioactive flavonoids mentioned earlier. The HCA and GC–MS results provided a convenient approach which might be applied for rapid similarity evaluation and also holds the potential for analysis of compounds present in other plants. Therefore, this work obtained offers scientific basis to control quality and develop medicinal value of the medicinal materials in CRP.

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Distinguishing Radix Angelica sinensis from different regions by HS-SFME/GC–MS

Cited by 44 publications

References 16 publications

Discrimination of producing areas of Astragalus membranaceus using electronic nose and UHPLC-PDA combined with chemometrics

Discrimination of producing areas of Astragalus membranaceus using electronic nose and UHPLC-PDA combined with chemometrics

Radix Angelica sinensis soup production by decocting process using high pressure

Evaluation of chemical components in Citri Reticulatae Pericarpium of different cultivars collected from different regions by GC–MS and HPLC

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