Analysis of volatile compounds of Taihe Toona sinensis based on gas chromatography-ion mobility spectroscopy

  • YANG Song ,
  • GUO Jiagang ,
  • WU Yuhan ,
  • ZHU Qian ,
  • DU Jingjing ,
  • JIANG Jian ,
  • DING Zhien
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  • 1(Institute of Agro-products Processing, Anhui Academy of Agricultural Sciences, Hefei 230031, China)
    2(School of Forestry & Landscape Architecture, Anhui Agricultural University, Hefei 230036, China)
    3(Department of Biological and Food Engineering, Bozhou University, Bozhou 236800, China)

Received date: 2021-08-16

  Revised date: 2021-10-08

  Online published: 2022-08-19

Abstract

The aim of this study was to explore the differences of volatile components in three types of Toona sinensis from Taihe and to establish a rapid method of classifying the marking variety of the Toona sinensis. In this study, the characteristic flavors of three types of Toona sinensis were analyzed by gas chromatography-ion mobility spectrometry(GC-IMS). Specifically, qualitative analysis was conducted on the detected substances and the name of the compounds according to the retention time and ion drift time of each volatile component.Furthermore, three Toona sinensiss samples were selected to establish volatile components fingerprints based on the results of clustering analysis by Gallery Plot in Laboratory Analytical Viewer software.The results of the qualitative analysis showed that a total of 47 volatile odorants were identified in three types of Toona sinensis, and the highest relative content of volatile components were alcohols among which 2-hexenol was the highest, which showed herbaceous aroma and fruit aroma.Additionally, three Toona sinensis could be clearly distinguished through theprincipal component analysis (PCA) results,and each sample could be exhibited an obvious region in the plots.In conclusion, the presented method was proved to be a simple and rapid method of the classification and identification of Toona sinensis, which has a great application prospect.

Cite this article

YANG Song , GUO Jiagang , WU Yuhan , ZHU Qian , DU Jingjing , JIANG Jian , DING Zhien . Analysis of volatile compounds of Taihe Toona sinensis based on gas chromatography-ion mobility spectroscopy[J]. Food and Fermentation Industries, 2022 , 48(14) : 272 -277 . DOI: 10.13995/j.cnki.11-1802/ts.028916

References

[1] 陆长旬, 张德纯, 王德槟.香椿起源和分类地位的研究[J].植物研究, 2001,21(2):195-199.
LU C X, ZHANG D C, WANG D B.Origin and taxonomic position of Chinese toon[ Toona sinesis (A.juss.) roem.][J].Bulletin of Botanical Research, 2001,21(2):195-199.
[2] 教忠意, 郑纪伟, 严瑞昌, 等.多功能珍贵树种香椿的主要研究概述[J].江苏林业科技, 2019, 46(6):51-56.
JIAO Z Y, ZHENG J W, YAN R C, et al.Summary of main research on multifunctional precious trees (Toona sinensis)[J].Journal of Jiangsu Forestry Science & Technology, 2019, 46(6):51-56.
[3] 王国枢, 李军.太和县香椿产业现状及发展前景探讨[J].安徽林业科技, 2019, 45(4):56-57.
WANG G S, LI J.Discussion on the actualities and development prospects of Toona sinensis industry in Taihe County[J].Anhui Forestry Science and Technology, 2019, 45(4):56-57.
[4] 陈德根. 菜用香椿优良种源评价与筛选[D].南京:南京林业大学, 2011.
CHEN D G.Evaluation and selection of Toona sinensis provenance for optimum vegetable using[D].Nanjing:Nanjing Forestry University, 2011.
[5] ZHAN X, LI P, HUI W K, et al.Genetic diversity and population structure of Toona ciliata revealed by simple sequence repeat markers[J].Biotechnology & Biotechnological Equipment, 2019, 33(1):214-222.
[6] XU R, BU Y G, ZHAO M L, et al.Studies on antioxidant and α-glucosidase inhibitory constituents of Chinese toon bud (Toona sinensis)[J].Journal of Functional Foods, 2020, 73:104108.
[7] ZHAI X T, GRANVOGL M.Elucidation of the impact of different drying methods on the key odorants of Toona sinensis (A.Juss.) Roem. Using the Sensomics approach[J].Journal of Agricultural and Food Chemistry, 2020,68(29):7 697-7 709.
[8] VAUTZ W, FRANZKE J, ZAMPOLLI S, et al.On the potential of ion mobility spectrometry coupled to GC pre-separation-A tutorial[J].Analytica Chimica Acta, 2018, 1 024:52-64.
[9] 陈彦憬, 于建娜, 敬国兴, 等.气相色谱-离子迁移谱技术在农业领域的应用[J].分析试验室, 2020(12):1 480-1 488.
CHEN Y J, YU J N, JING G X, et al.Application of gas chromatography-ion mobility spectrometry in agriculture[J].Chinese Journal of Analysis Laboratory, 2020(12):1 480-1 488.
[10] 孟新涛, 乔雪, 潘俨, 等.新疆不同产区羊肉特征风味成分离子迁移色谱指纹谱的构建[J].食品科学, 2020, 41(16):218-226.
MENG X T, QIAO X, PAN Y, et al.Characteristic flavor compounds fingerprinting of mutton from different producing regions of Xinjiang, China by gas chromatography-ion mobility spectrometry[J].Food Science, 2020, 41(16):218-226.
[11] BRENDEL R, SCHWOLOW S, ROHN S, et al.Volatilomic profiling of Citrus juices by dual-detection HS-GC-MS- IMS and machine learning-an alternative authentication approach[J].Journal of Agricultural and Food Chemistry, 2021, 69(5):1 727-1 738.
[12] 陈通, 陈鑫郁, 谷航, 等.气相离子迁移谱对山茶油掺假的检测[J].食品科学, 2019, 40(8):275-279.
CHEN T, CHEN X Y, GU H, et al.Detection of adulterated Camellia oil using gas chromatography-ion mobility spectrometry[J].Food Science, 2019, 40(8):275-279.
[13] PUTRI A R, ALIAÑO-GONZÁLEZ M J, FERREIRO M, et al.Development of a methodology based on headspace-gas chromatography-ion mobility spectrometry for the rapid detection and determination of patin fish oil adulterated with palm oil[J].Arabian Journal of Chemistry, 2020, 13(10):7 524-7 532.
[14] ARROYO-MANZANARES N, GARCíA-NICOLÁS, CASTELL A, et al.Untargeted headspace gas chromatography-Ion mobility spectrometry analysis for detection of adulterated honey[J].Talanta, 2019, 205:120123.
[15] 葛帅, 陈宇昱, 彭争光, 等.基于顶空-气相色谱-离子迁移谱法研究干燥方式对小米椒挥发性风味物质的影响[J].激光生物学报, 2020, 29(4):368-378.
GE S, CHEN Y Y, PENG Z G, et al.Application of headspace-gas chromatography-ion mobility spectrometry to investigate the influence of drying method on volatile substances of Capsicum frutescens[J].Acta Laser Biology Sinica, 2020, 29(4):368-378.
[16] 孔宇, 许雅荟, 张旭, 等.不同种源绿色型香椿特征风味的分析[J].食品工业科技, 2021, 42(3):208-213;229.
KONG Y, XU Y H, ZHANG X, et al.Analysis of characteristic flavor of green Toona sinensis from different provenances[J].Science and Technology of Food Industry, 2021, 42(3):208-213;229.
[17] YANG W X, CADWALLADER K R, LIU Y P, et al.Characterization of typical potent odorants in raw and cooked Toona sinensis (A.Juss.) M.Roem.by instrumental-sensory analysis techniques[J].Food Chemistry, 2019, 282:153-163.
[18] ZHAI X T, GRANVOGL M.Key odor-active compounds in raw green and red Toona sinensis (A.Juss.) roem.and their changes during blanching[J].Journal of Agricultural and Food Chemistry, 2020, 68(27):7 169-7 183.
[19] 杜超, 戚军, 姚文生, 等.基于气相-离子迁移谱分析反复炖煮过程中鸡肉风味物质的变化规律[J].食品与发酵工业, 2020, 46(9):265-271.
DU C, QI J, YAO W S, et al.Detection of volatile compounds in re-stewed chicken by GC-IMS[J].Food and Fermentation Industries, 2020, 46(9):265-271.
[20] 张杰. 香椿挥发性成分的分析及其呈香机理的探究[D].天津:天津科技大学, 2013.
ZHANG J.Analysis of the volatile compounds of Toona sinensis and primary study of its aroma-producing mechanism[D].Tianjin:Tianjin University of Science and Technology, 2013.
[21] 孙晓健. 香椿挥发性有机硫化物的呈味特性研究[D].天津科技大学, 2019.
SUN X J.Study on flavor characteristics of volatile organosulfur compounds in Toona sinensis[D].Tianjin:Tianjin University of Science and Technology, 2019.
[22] 姚文生, 蔡莹暄, 刘登勇, 等.不同材料熏制鸡腿肉挥发性物质GC- IMS指纹图谱分析[J].食品科学技术学报, 2019, 37(6):37-45.
YAO W S, CAI Y X, LIU D Y, et al.Volatile compounds analysis in chicken thigh smoked with different materials by GC-IMS fingerprint[J].Journal of Food Science and Technology, 2019, 37(6):37-45.
[23] 赵丽丽, 程菁菁, 王赵改, 等.基于GC-MS指纹图谱及化学模式识别分析河南不同产地香椿挥发性成分[J].食品科学, 2021,42(20):173-179.
ZHAO L L, CHENG J J, WANG Z G, et al.Analysis of volatile components of Toona sinensis from different growing areas in Henan Province by GC-MS fingerprint and chemical pattern recognition[J].Food Science, 2021,42(20):173-179.
[24] LI M Q, YANG R W, ZHANG H, et al.Development of a flavor fingerprint by HS-GC-IMS with PCA for volatile compounds of Tricholoma matsutake Singer[J].Food Chemistry, 2019, 290:32-39.
[25] 杜萍, 陈振佳, 杨芳, 等.基于顶空气相色谱-离子迁移谱技术的生咖啡豆快速鉴别方法[J].食品科学, 2019, 40(24):228-233.
DU P, CHEN Z J, YANG F, et al.A rapid method for the discrimination of different varieties of green coffee beans by headspace-gas chromatography-ion mobility spectrometry[J].Food Science, 2019, 40(24):228-233.
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