[1] Zeng L T, Zhou X C, Su X G, et al.Chinese oolong tea: an aromatic beverage produced under multiple stresses[J]. Trends in Food Science and Technology, 2020, 106: 242-253.
[2] Yan L, Pang L, Wang H, et al.Recognition of different Longjing fresh tea varieties using hyperspectral imaging technology and chemometrics[J]. Journal of Food Process Engineering, 2020, 43(4): e13378. doi: 10.1111/jfpe.13378.
[3] Roh E, Kim J E, Kwon J Y, et al.Molecular mechanisms of green tea polyphenols with protective effects against skin photoaging[J]. CRC Critical Reviews in Food Technology, 2017, 57(8): 1631-1637.
[4] Ho C T, Zheng X, Li S M.Tea aroma formation[J]. Food Science and Human Wellness, 2015, 4(1): 9-27.
[5] 张菲, 管曦, 朱荣军. 中国茶叶出口的影响因素与贸易效率——基于随机前沿引力模型的实证分析[J]. 茶叶科学, 2021, 41(3): 430-438.
Zhang F, Guan X, Zhu R J.The influencing factors and trade efficiency of China tea export: based on stochastic frontier gravity model[J]. Journal of Tea Science, 2021, 41(3): 430-438.
[6] 王近近, 袁海波, 邓余良, 等. 绿茶、乌龙茶、红茶贮藏过程中品质劣变机理及保鲜技术研究进展[J]. 食品与发酵工业, 2019, 45(3): 281-287.
Wang J J, Yuan H B, Deng Y L, et al.Research progress on quality deterioration mechanisms and preservative techniques of green tea, oolong tea, and black tea during storage[J]. Food and Fermentation Industries, 2019, 45(3): 281-287.
[7] 圣阳, 焦俊, 滕燕, 等. 基于卷积神经网络和近红外光谱的茶叶品种和等级鉴别[J]. 分析科学学报, 2022, 38(5): 552-560.
Sheng Y, Jiao J, Teng Y, et al.Identification of tea varieties and grades based on convolution neural network and near infrared spectroscopy[J]. Journal of Analytical Science, 2022, 38(5): 552-560.
[8] 舒心, 高彦祥. 茶叶挥发性成分提取及其香气特征分析研究进展[J]. 食品工业科技, 2022, 43(15): 469-480.
Shu X, Gao Y X.Research progress on extraction of volatile compounds and analysis of aroma characteristics in tea[J]. Science and Technology of Food Industry, 2022, 43(15): 469-480.
[9] 刘亚芹, 王辉, 黄建琴, 等. GC-IMS在绿茶挥发性物质定性分析中的应用[J]. 中国茶叶加工, 2020(1): 55-59.
Liu Y Q, Wang H, Hang J Q, et al.Application of GC-IMS in qualitative analysis of volatile compounds in green tea[J]. China Tea Processing, 2020(1): 55-59.
[10] 蔡海兰, 李琛, 杨普香. 基于近红外光谱技术的茶叶质量过程控制研究进展[J]. 蚕桑茶叶通讯, 2016(6): 18-22.
Cai H L, Li C, Yang P X.Research progress on tea quality control based on near-infrared spectroscopy technology[J]. Newsletter of Sericulture and Tea, 2016(6): 18-22.
[11] 任广鑫, 金珊珊, 李露青, 等. 近红外光谱技术在茶叶品控与装备创制领域的研究进展[J]. 茶叶科学, 2020, 40(6): 707-714.
Ren G X, Jin S S, Li L Q, et al.Research progress of near-infrared spectroscopy in tea quality control and equipment development[J]. Journal of Tea Science, 2020, 40(6): 707-714.
[12] Wang S Q, Chen H T, Sun B G.Recent progress in food flavor analysis using gas chromatography-ion mobility spectrometry (GC-IMS)[J]. Food Chemistry, 2020, 315: 126158. doi: 10.1016/j.foodchem.2019.126158.
[13] Ren G X, Sun Y M, Li M H, et al.Cognitive spectroscopy for evaluating Chinese black tea grades (Camellia sinensis): near-infrared spectroscopy and evolutionary algorithms[J]. Journal of the Science of Food and Agriculture, 2020, 100(10): 3950-3959.
[14] 卢雪松, 王聪, 彭毅秦, 等. 基于电子鼻与GC-MS分析不同脱皮方式对猕猴桃果汁香气成分的影响[J]. 美食研究, 2021, 38(3): 96-100.
Lu X S, Wang C, Peng Y Q, et al.Effect of peeling methods on volatile composition of kiwifruit juice as analyzed by chromatography-mass spectrometry and electronic nose[J]. Journal of Researches on Dietetic Science and Culture, 2021, 38(3): 96-100.
[15] 姜鹏飞, 杨柳, 张浩, 等. 气相色谱-离子迁移谱在水产领域的应用[J]. 中国食品学报, 2023, 23(6): 431-440.
Jiang P F, Yang L, Zhang H, et al.Application of gas chromatography-ion mobility spectrometry in aquaculture[J]. Journal of Chinese Institute of Food Science and Technology, 2023, 23(6): 431-440.
[16] 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, 1024(18): 52-64.
[17] 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, 39(12): 1480-1488.
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, 39(12): 1480-1488.
[18] 张博涵, 夏磊, 于丽燕. 气相色谱-离子迁移谱联用技术在中药材分析中的应用[J]. 中国医药科学, 2023, 13(11): 55-58.
Zhang B H, Xia L, Yu L Y.Application of gas chromatography-ion migration spectrometry in the analysis of Chinese herbal medicines[J]. China Medicine and Pharmacy, 2023, 13(11): 55-58.
[19] 钱鑫, 李占明, 宋嘉慧, 等. 气相色谱-离子迁移谱法检测农产食品中挥发性有机化合物的研究进展[J]. 食品安全质量检测学报, 2021, 12(18): 7184-7190.
Qian X, Li Z M, Song J H, et al.Research progress on the determination of volatile organic compounds of agro-food by gas chromatography-ion mobility spectrometry[J]. Journal of Food Safety & Quality, 2021, 12(18): 7184-7190.
[20] Liedtke S, Seifert L, Ahlmann N, et al.Coupling laser desorption with gas chromatography and ion mobility spectrometry for improved olive oil characterisation[J]. Food Chemistry, 2018, 255: 323-331.
[21] 杨露, 谭会泽, 温志芬, 等. 气相色谱-离子迁移谱在畜禽产品风味分析中的应用[J]. 食品与发酵工业, 2022, 48(12): 324-329.
Yang L, Tan H Z, Wen Z F, et al.Application of gas chromatography-ion mobility spectrometry in flavor analysis of livestock and poultry products[J]. Food and Fermentation Industries, 2022, 48(12): 324-329.
[22] 陈明杰. 基于GC-IMS技术的干燥与烘烤工艺对猪肉脯风味影响的研究[D]. 镇江: 江苏大学, 2020.
Chen M J.Study on the flavor influence of dried pork slice in drying and baking based on GC-IMS technique [D]. Zhenjiang: Jiangsu University, 2020.
[23] 周晨曦, 郑福平, 孙宝国. 离子迁移谱技术在食品风味分析中的应用研究进展[J]. 食品工业科技, 2019, 40(18): 309-318.
Zhou C X, Zheng F P, Sun B G.Research progress on the application of ion mobility spectrometry (IMS) in food flavor analysis[J]. Science and Technology of Food Industry, 2019, 40(18): 309-318.
[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] Gerhardt N, Schwolow S, Rohn S, et al.Quality assessment of olive oils based on temperature-ramped HS-GCIMS and sensory evaluation: comparison of different processing approaches by LDA, kNN, and SVM[J]. Food Chemistry, 2019, 278: 720-728.
[26] Arroyo-Manzanares N, Martín-Gómez A, Jurado-Campos N, et al.Target vs spectral fingerprint data analysis of Iberian ham samples for avoiding labelling fraud using headspace-gas chromatography-ion mobility spectrometry[J]. Food Chemistry, 2017, 246: 65-73.
[27] Gallegos J, Arce C, Jordano R, et al.Target identification of volatile metabolites to allow the differentiation of lactic acid bacteria by gas chromatography-ion mobility spectrometry[J]. Food Chemistry, 2017, 220: 362-370.
[28] 王熠瑶, 张烝彦, 孙俊, 等. 基于GC-IMS技术分析糙米储藏过程中风味物质变化[J]. 食品与发酵工业, 2020, 46(6): 250-255.
Wang Y Y, Zhang Z Y, Sun J, et al.Analysis of flavor changes of brown rice during storage based on gas chromatography-ion mobility spectrometry[J]. Food and Fermentation Industries, 2020, 46(6): 250-255.
[29] Cumeras R, Figueras E, Davisc E, et al.Review on ion mobility spectrometry. Part 1: current instrumentation[J]. Analyst, 2015, 140(5): 1376-1390.
[30] Yang L Z, Liu J, Wang X Y, et al.Characterization of volatile component changes in jujube fruits during cold storage by using headspace-gas chromatography-ion mobility spectrometry[J]. Molecules, 2019, 24(21): 3904. doi: 10.3390/molecules24213904.
[31] 林若川, 邓榕, 许丽蓉. 基于GC-IMS技术的绿茶风味鉴别方法可行性的研究[J]. 广东化工, 2017, 44(23): 19-21.
Lin R C, Deng R, Xu L R.Feasibility study of green tea flavor identification based on GC-IMS technology[J]. Guangdong Chemical Industry, 2017, 44(23): 19-21.
[32] 江津津, 谢佩桦, 任芳, 等. 基于气相离子迁移谱和顶空固相微萃取的新会柑普茶的风味分析[J]. 食品工业科技, 2020, 41(12): 214-220.
Jiang J J, Xie P H, Ren F, et al.Flavor analysis of Xinhui citrus pu'er tea based on gas-phase ion migration spectrum and headspace solid phase microextraction[J]. Science and Technology of Food Industry, 2020, 41(12): 214-220.
[33] 江津津, 贾强, 谢佩桦, 等. 新会青柑茶与橘皮普洱茶的风味差异分析[J]. 现代食品科技, 2021, 37(8): 266-274.
Jiang J J, Jia Q, Xie P H, et al.Analysis of the flavour difference between Xinhui green citrus tea and tangerine peel pu'er tea[J]. Modern Food Science and Technology, 2021, 37(8): 266-274.
[34] 刘学艳, 王娟, 彭云, 等. 基于电子鼻与GC-IMS技术云南昌宁红茶香气研究[J]. 茶叶通讯, 2021, 48(1): 80-89.
Liu X Y, Wang J, Peng Y, et al.Study on the aroma of Yunnan Changning black tea based on electronic nose and gas chromatography-ion mobility spectroscop[J]. Journal of Tea Communication, 2021, 48(1): 80-89.
[35] 商虎, 朱陈松, 叶婷婷, 等. 老枞水仙品质特征分析[J]. 中国农学通报, 2022, 38(10): 141-148.
Shang H, Zhu C S, Ye T T, et al.The quality characteristics of Camellia sinensis ‘Fujian Shuixian’[J]. Chinese Agricultural Science Bulletin, 2022, 38(10): 141-148.
[36] 敬思群, 吴飞虎, 程金生, 等. GC-IMS技术与HS-SPME/GC-MS技术分析3种茶叶风味成分[J]. 食品研究与开发, 2022, 43(8): 167-176.
Jing S Q, Wu F H, Cheng J S, et al.Detection of flavor components in three tea products by GC-IMS combined with HS-SPME/GC-MS[J]. Food Research and Development, 2022, 43(8): 167-176.
[37] 霍羽佳, 任芳, 陈硕. 气相离子迁移谱(GC-IMS): 基于挥发性化合物指纹信息的茶叶质量评估新技术[C]//山东省分析测试协会. 第八届食品质量安全技术论坛论文集. 青岛: [出版者不详], 2017.
Huo Y J, Ren F, Chen S.Quality assessment of tea based on volatile compounds fingerprint using GC-IMS analysis [C]//Shandong Analytical Testing Association. Proceedings of the eighth forum on food quality and safety technology. Qingdao: [s.n], 2017.
[38] 祁兴普, 刘纯友, 佀再勇, 等. 基于风味指纹谱的庐山云雾茶品质等级研究[J]. 食品研究与开发, 2021, 42(14): 152-157.
Qi X P, Liu C Y, Si Z Y, et al.Study on quality grading of Lushan cloud-fog tea based on flavor fingerprints[J]. Food Research and Development, 2021, 42(14): 152-157.
[39] 黄艳, 罗玉琴, 张灵枝, 等. 基于近红外光谱和气相离子迁移谱的白茶等级评价研究[J]. 食品工业科技, 2023, 44(21): 348-357.
Huang Y, Luo Y Q, Zhang L Z, et al.Evaluation of white tea grades based on near infrared spectroscopy and gas chromatography-ion mobility spectroscopy[J]. Science and Technology of Food Industry, 2023, 44(21): 348-357.
[40] Li M H, Pan T H, Chen Q.Estimation of tea quality grade using statistical identification of key variables[J]. Food Control, 2021, 119: 107485. doi: 10.1016/j.foodcont.2020.107485.
[41] 金文刚, 陈小华, 耿敬章, 等. 基于气相-离子迁移谱分析不同产地“汉中仙毫”气味指纹差异[J]. 食品与发酵工业, 2021, 47(5): 231-237.
Jin W G, Chen X H, Geng J Z, et al.Analysis of “Hanzhong Xianhao” odor fingerprints from different places based on GC-IMS[J]. Food and Fermentation Industries, 2021, 47(5): 231-237.
[42] 刘雪艳, 王娟, 彭云, 等. 基于GC-IMS 对勐海县晒青毛茶的挥发性组分分析[J]. 食品工业科技, 2021, 42(14): 233-240.
Liu X Y, Wang J, Peng Y, et al.Volatile component analysis of sun-dried green tea in Menghai county based on GC-IMS[J]. Science and Technology of Food Industry, 2021, 42(14): 233-240.
[43] 罗玉琴, 韦燕菊, 林琳, 等. 基于GC-IMS技术的福建白茶产地判别[J]. 农业工程学报. 2021, 37(6): 264-273.
Luo Y Q, Wei Y J, Lin L, et al.Origin discrimination of Fujian white tea using gas chromatography-ion mobility spectrometry[J]. Transactions of the Chinese Society of Agricultural Engineering, 2021, 37(6): 264-273.
[44] Jin J Y, Zhao M Y, Zhang N, et al.Stable isotope signatures versus gas chromatography-ion mobility spectrometry to determine the geographical origin of Fujian oolong tea (Camellia sinensis) samples[J]. European Food Research and Technology, 2020, 246(5): 955-964.
[45] 甘爽, 陈志丹, 商虎, 等. 基于气相离子迁移谱技术的不同产地乌龙茶挥发性物质分析[J]. 食品与生物技术学报, 2022, 41(9): 68-77.
Gan S, Chen Z D, Shang H, et al.Analysis of volatile substance of oolong tea from different origins based on gas chromatography-ion mobility technique[J]. Journal of Food Science and Biotechnology, 2022, 41(9): 68-77.
[46] 侯晓慧, 张婷, 张萌, 等. 基于GC-IMS和HS-SPME-GC-MS分析泾阳茯砖茶的特征风味物质[J]. 食品科学, 2023, 44(14): 245-257.
Hou X H, Zhang T, Zhang M, et al.Identification of characteristic flavor substances of Jingyang Fu Brick tea by gas chromatography-ion nobility spectrometry and headspace solid phase microextraction-gas chromatography-mass spectrometry[J]. Food Science, 2023, 44(14): 245-257.
[47] 韩孝坤. 茶叶香气化学及超临界CO2处理对茶叶香气影响的研究[D]. 杭州: 浙江大学, 2006.
Han X K.The tea aroma chemistry and the effect on tea aroma through the disposal with supercritical CO2 [D]. Hangzhou: Zhejinag University, 2006.
[48] 陈丹, 赵燕妮, 彭佳堃, 等. 基于代谢组学的不同年份晒青红茶化学成分分析[J]. 食品科学, 2022, 43(4): 150-159.
Chen D, Zhao Y N, Peng J K, et al.Chemical composition profiling of sun-dried black tea of different ages based on metabolomics approach[J]. Food Science, 2022, 43(4): 150-159.
[49] 陈可坚, 林喜盈, 蔡亚威, 等. 基于老白茶保健功能成分与储存条件研究进展[J]. 茶叶, 2020, 46(1): 16-19.
Chen K J, Lin X Y, Cai Y W, et al.Research progress of bioactive components and storage condition of old white tea[J]. Journal of Tea, 2020, 46(1): 16-19.
[50] 周琼琼, 孙威江, 叶艳, 等. 不同年份白茶的主要生化成分分析[J]. 食品工业科技, 2014, 35(9): 351-354.
Zhou Q Q, Sun W J, Ye Y, et al.Study on the main biochemical components of white tea stored at different years[J]. Science and Technology of Food Industry, 2014, 35(9): 351-354.
[51] 龚受基, 滕翠琴, 郭德军, 等. 六堡茶香气特征和真菌群落鉴定分析[J]. 现代食品科技, 2023, 39(6): 252-262.
Gong S J, Teng C Q, Guo D J, et al.Identification and analysis of aroma characteristics and microbial communities in Liu-pao tea[J]. Modern Food Science and Technology, 2023, 39(6): 252-262.
[52] 郑淑琳, 吴伟伟, 姚喆赫, 等. 不同贮藏年份武夷水仙茶主要生化成分及感官品质分析[J]. 食品科技, 2022, 47(1): 93-98.
Zheng S L, Wu W W, Yao Z H, et al.Analysis on main biochemical components and sensory quality of Wuyi Shuixian tea with different storage years[J]. Food Science and Technology, 2022, 47(1): 93-98.
[53] 宋莹, 胡兴明, 罗晓燕, 等. 不同仓储年份普洱生茶内含成分变化规律研究[J]. 蚕桑茶叶通讯, 2020(3): 17-21.
Song Y, Hu X M, Luo X Y, et al.Study on changes of components in Pu-erh tea in different years[J]. Newsletter of Sericulture and Tea, 2020(3): 17-21.
[54] Rong Y T, Xie J L, Yuan H B, et al, Characterization of volatile metabolites in Pu-erh teas with different storage years by combining GC-E-Nose, GC-MS, and GC-IMS[J]. Food Chemistry: X, 2023, 4: 100693. doi: 10.1016/j.fochx.2023.100693.
[55] 王志华, 薛志慧, 朱文伟, 等. 基于GC-IMS的不同年份紧压白茶挥发性物质分析[J]. 食品与生物技术学报, 2021, 40(8): 85-94.
Wang Z H, Xue Z H, Zhu W W, et al.Analyses of volatile compounds in compressed white tea of different years based on GC-IMS[J]. Journal of Food Science and Biotechnology, 2021, 40(8): 85-94.
[56] Wang Z H, Wang Z H, Dai H M, et al, Identification of characteristic aroma and bacteria related to aroma evolution during long-term storage of compressed white tea[J]. Frontiers in Nutrition, 2022, 9: 1092048. doi: 10.3389/fnut.2022.1092048.
[57] Xu J Y, Zhang Y, Hu C B, et al, The flavor substances changes in Fuliang green tea during storage monitoring by GC-MS and GC-IMS[J]. Food Chemistry: X, 2024, 21: 101047. doi: 10.1016/j.fochx.2023.101047.
[58] 宛晓春. 茶叶生物化学[M]. 3版. 北京: 中国农业出版社, 2014.
Wan X C.Tea biochemistry [M]. 3rd ed. Beijing: China Agricultural Press, 2014.
[59] 尹志, 胡冬. 茶叶感官审评方法中存在的若干问题分析[J]. 茶叶, 2015, 41(1): 15-18.
Yin Z, Hu D.A discussion on the methodology of tea sensory assessment[J]. Journal of Tea, 2015, 41(1): 15-18.
[60] Li J, Yuan H B, Yao Y F, et al.Rapid volatiles fingerprinting by dopant-assisted positive photoionization ion mobility spectrometry for discrimination and characterization of green tea aromas[J]. Talanta, 2019, 191: 39-45.
[61] 李俊杰, 徐元昊, 陈梦娟, 等. 手筑茯砖茶加工过程中挥发性组分变化分析[J]. 食品科学, 2020, 41(24): 144-154.
Li J J, Xu Y H, Chen M J, et al.Analysis of changes in volatile components during processing of handmade Fuzhuan tea[J]. Food Science, 2020, 41(24): 144-154.
[62] 曾桥, 吕生华, 段洁, 等. 基于气相离子迁移谱技术分析杜仲叶茯砖茶加工过程中挥发性成分[J]. 食品工业科技, 2021, 42(21): 73-82.
Zeng Q, Lü S H, Duan J, et al.Analysis of volatile compounds in the manufacturing process of Eucommia ulmoides leaves Fu Brick tea based on gas chromatography-ion mobility spectrometry method[J]. Science and Technology of Food Industry, 2021, 42(21): 73-82.
[63] 郭向阳, 霍羽佳, 王本友, 等. 采用气相色谱-离子迁移谱分析黄大茶加工过程挥发性成分[J]. 农业工程学报, 2021, 37(6): 274-281.
Guo X Y, Huo Y J, Wang B Y, et al.Analysis of volatile compounds in large-leaf yellow tea during manufacturing processes using gas chromatography-ion mobility spectrometry[J]. Transactions of the Chinese Society of Agricultural Engineering, 2021, 37(6): 274-281.
[64] 覃榕珍, 黄丽, 滕建文, 等. 基于GC-IMS法分析不同烘焙温度对六堡茶香气品质的影响[J]. 食品科技, 2022, 47(5): 282-290.
Qin R Z, Huang L, Teng J W, et al.Effects of different baking temperatures on the aroma of Liupao tea based on GC-IMS[J]. Food Science and Technology, 2022, 47(5): 282-290.
[65] 赵熙, 钟妮, 余鹏辉, 等. 不同干燥方式下黑毛茶风味品质的比较分析[J]. 茶叶通讯, 2022, 49(3): 342-352.
Zhao X, Zhong N, Yu P H, et al.Comparative analysis of flavor quality of raw dark tea under different drying methods[J]. Journal of Tea Communication, 2022, 49(3): 342-352.