Citation: | LIU Cuiling, QIN Dong, LING Caijin, et al. Building the Oolong Tea Grade Judgement Model Based on Interior Quality Parameters[J]. Science and Technology of Food Industry, 2023, 44(12): 308−318. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022080190. |
[1] |
中华全国供销合作总社杭州茶叶研究院, 中国农业科学院茶叶研究所, 国家茶叶质量监督检验中心, 等. GB/T 23776-2018 茶叶感官审评方法[S]. 北京: 中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会, 2018
Hangzhou Tea Research Institute, China Coop, Tea Research Institute, Chinese Academy of Agricultural Sciences, National Tea Quality Supervision and Inspection Center. GB/T 23776-2018 Methodology for sensory evaluation of tea[S]. Beijing: General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China, 2018.
|
[2] |
张晓云, 赵艳, 钱晔, 等. 高压脉冲电场对普洱生茶香气和陈化时间的影响[J]. 食品科学,2020,41(9):43−49. [ZHANG Xiaoyun, ZHAO Yan, QIAN Ye, et al. Effect of high voltage pulsed electric field on aroma and aging time of unfermented Pu’er tea[J]. Food Science,2020,41(9):43−49.
ZHANG Xiaoyun, ZHAO Yan, QIAN Ye, et al. Effect of high voltage pulsed electric field on aroma and aging time of unfermented Pu’er tea[J]. Food Science, 2020, 41(9): 43-49.
|
[3] |
邹光宇, 王万章, 王淼森, 等. 电子鼻/舌融合技术的信阳毛尖茶品质检测[J]. 食品科学,2019,40(10):279−284. [ZOU Guangyu, WANG Wanzhang, WANG Miaosen, et al. Quality detection of Xinyang Maojian tea using electronic nose and electronic tongue[J]. Food Science,2019,40(10):279−284.
ZOU Guangyu, WANG Wanzhang, WANG Miaosen, et al. Quality detection of Xinyang Maojian tea using electronic nose and electronic tongue[J]. Food Science, 2019, 40(10): 279-284.
|
[4] |
BHUYAN L P, BORAH P, SABHAPONDIT S, et al. Spatial variability of theaflavins and thearubigins fractions and their impact on black tea quality[J]. Journal of Food Science and Technology,2015,52(12):7984−7993. doi: 10.1007/s13197-015-1968-z
|
[5] |
SOLTANI S, SERESHTI H. A green alternative QuEChERS developed based on green deep eutectic solvents coupled with gas chromatography-mass spectrometry for the analysis of pesticides in tea samples[J]. Food Chemistry,2022,380:132181. doi: 10.1016/j.foodchem.2022.132181
|
[6] |
田宇倩, 刘天然, 范方媛, 等. 有机酸的HPLC检测方法优化及其在白茶检测中的应用[J]. 中国食品学报,2021,21(7):320−327. [TIAN Yuqian, LIU Tianran, FAN Fangyuan, et al. Optimization of HPLC method for determination of organic acid and its application in detection of white tea[J]. Journal of Chinese Institute of Food Science and Technology,2021,21(7):320−327.
TIAN Yuqian, LIU Tianran, FAN Fangyuan, et al. Optimization of HPLC method for determination of organic acid and its application in detection of white tea[J]. Journal of Chinese Institute of Food Science and Technology, 2021, 21(7): 320-327.
|
[7] |
REN G, LI T, WEI Y, et al. Estimation of Congou black tea quality by an electronic tongue technology combined with multivariate analysis[J]. Microchemical Journal,2020,163:105899.
|
[8] |
王成锋. 基于电子鼻和近红外光谱技术的茶叶等级分类方法研究[D]. 镇江: 江苏大学, 2021
WANG Chengfeng. Study on classifiction of tea levels based on electronic nose and near infrared spectroscopy[D]. Zhenjiang: Jiangsu University, 2021.
|
[9] |
范婷婷, 陆江明, 康志龙, 等. 基于高光谱成像技术的祁门红茶等级无损检测[J]. 食品工业科技,2021,42(16):243−248. [FAN Tingting, LU Jiangming, KANG Zhilong, et al. Nondestructive detection of Keemun black tea grade based on hyperspectral imaging technique[J]. Science and Technology of Food Industry,2021,42(16):243−248.
FAN Tingting, LU Jiangming, KANG Zhilong, et al. Nondestructive detection of Keemun black tea grade based on hyperspectral imaging technique[J]. Science and Technology of Food Industry, 2021, 42(16): 243-248.
|
[10] |
陆江明, 范婷婷, 穆青爽, 等. 融合光谱与纹理特征的龙井茶等级无损识别[J]. 现代食品科技,2021,37(3):301−307. [LU Jiangming, FAN Tingting, MU Qingshuang, et al. Nondestructive identification of Longjing tea grade by fusing spectral and textural feature[J]. Modern Food Science and Technology,2021,37(3):301−307.
LU Jiangming, FAN Tingting, MU Qingshuang, et al. Nondestructive identification of Longjing tea grade by fusing spectral and textural feature[J]. Modern Food Science and Technology, 2021, 37(3): 301-307.
|
[11] |
LI Y, SUN J, WU X, et al. Grade identification of tieguanyin tea using fluorescence hyperspectra and different statistical algorithms[J]. Journal of Food Science,2019,84(8):2234−2241. doi: 10.1111/1750-3841.14706
|
[12] |
韦玲冬, 张雯, 王春波, 等. 基于通径分析的不同等级红茶与化学成分相关性研究[J]. 茶叶通讯,2021,48(2):300−305. [WEI Lindong, ZHANG Wen, WANG Chunbo, et al. Correlation between different grades of black tea and chemical components based on path analysis[J]. Journal of Tea Communication,2021,48(2):300−305.
WEI Lindong, ZHANG Wen, WANG Chunbo, et al. Correlation between different grades of black tea and chemical components based on path analysis[J]. Journal of Tea Communication, 2021, 48(2): 300-305.
|
[13] |
孔祥瑞, 王让剑, 杨军, 等. 白茶感官品质与化学成分的相关和通径分析[J]. 热带作物学报,2013,34(10):2014−2017. [KONG Xiangrui, WANG Rangjian, YANG Jun, et al. Correlation and path analysis on organoleptic quality and chemical components in white tea[J]. Chinese Journal of Tropical Crops,2013,34(10):2014−2017. doi: 10.3969/j.issn.1000-2561.2013.10.028
KONG Xiangrui, WANG Rangjian, YANG Jun, et al. Correlation and path analysis on organoleptic quality and chemical components in white tea[J]. Chinese Journal of Tropical Crops, 2013, 34(10): 2014-2017. doi: 10.3969/j.issn.1000-2561.2013.10.028
|
[14] |
杨崇山, 董春旺, 江用文, 等. 基于高光谱的工夫红茶发酵品质程度判别方法(英文)[J]. 光谱学与光谱分析,2021,41(4):1320−1328. [YANG Chongshan, DONG Chunwang, JIANG Yongwen, et al. A method for judging the fermentation quality of Congou based on hypersectral[J]. Spectroscopy and Spectral Analysis,2021,41(4):1320−1328.
YANG Chongshan, DONG Chunwang, JIANG Yongwen, et al. A method for judging the fermentation quality of Congou based on hypersectral[J]. Spectroscopy and Spectral Analysis, 2021, 41(4): 1320-1328.
|
[15] |
黄燕, 王璐, 关海鸥, 等. 基于优选NIR光谱波数的绿豆产地无损检测方法[J]. 光谱学与光谱分析,2021,41(4):1320−1328. [HUANG Yan, WANG Lu, GUAN Haiou, et al. Nodestructive detection method of Mung bean origin based on optimized NIR spectral wavenumber[J]. Spectroscopy and Spectral Analysis,2021,41(4):1320−1328.
HUANG Yan, WANG Lu, GUAN Haiou, et al. Nodestructive detection method of Mung bean origin based on optimized NIR spectral wavenumber[J]. Spectroscopy and Spectral Analysis, 2021, 41(4): 1320-1328.
|
[16] |
TIAN H, ZHANG L, LI M, et al. Weighted SPXY method for calibration set selection for composition analysis based on near-infrared spectroscopy[J]. Infrared Physics & Technology,2018,95:88−92.
|
[17] |
贺怀清, 贾洁, 刘浩翰. 基于方差过滤的改进多通路Metropolis光线传输算法[J]. 计算机辅助设计与图形学学报,2018,30(6):1082−1088. [HE Huaiqing, JIA Jie, LIU Haohan. An improved multiplexed metropolis light transport algorithm based on variance filtering[J]. Journal of Computer-Aided Design & Computer Graphics,2018,30(6):1082−1088.
HE Huaiqing, JIA Jie, LIU Haohan. An improved multiplexed metropolis light transport algorithm based on variance filtering[J]. Journal of Computer-Aided Design & Computer Graphics, 2018, 30(6): 1082-1088.
|
[18] |
肖杨, 李亚, 王海瑞, 等. 基于皮尔逊相关系数的滚动轴承混合域特征选择方法[J]. 化工自动化及仪表,2022,49:308−315. [XIAO Yang, LI Ya, WANG Hairui, et al. Feature selection method for rolling bearings in mixed domain based on pearson correlation coefficient[J]. Control and Instruments in Chemical Industry,2022,49:308−315.
XIAO Yang, LI Ya, WANG Hairui, et al. Feature selection method for rolling bearings in mixed domain based on pearson correlation coefficient[J]. Control and Instruments in Chemical Industry, 2022, 49: 308-315.
|
[19] |
张颖, 马承泽, 杨平, 等. 基于小波变换和改进PCA的人脸特征提取算法[J]. 吉林大学学报(理学版),2021,59(6):1499−1503. [ZHANG Ying, MA Chengze, YANG Ping, et al. Face feature extraction algorithim based on wavelet transform and improved principal component analysis[J]. Journal of Jilin University (Science Edition),2021,59(6):1499−1503.
ZHANG Ying, MA Chengze, YANG Ping, et al. Face feature extraction algorithim based on wavelet transform and improved principal component analysis[J]. Journal of Jilin University (Science Edition), 2021, 59(6): 1499-1503. ]
|
[20] |
李占山, 刘兆赓. 基于XGBoost的特征选择算法[J]. 通信学报,2019,40:101−108. [LI Zhanshan, LIU Zhaogeng. Feature selection algorithm based on XGBoost[J]. Journal on Communications,2019,40:101−108. doi: 10.11959/j.issn.1000-436x.2019154
LI Zhanshan, LIU Zhaogeng. Feature selection algorithm based on XGBoost[J]. Journal on Communications, 2019, 40: 101-108. doi: 10.11959/j.issn.1000-436x.2019154
|
[21] |
郭阳, 郭俊先, 史勇, 等. CARS-SVM预测哈密瓜可溶性固形物含量[J]. 食品与机械,2021,37(6):81−85. [GUO Yang, GUO Junxian, SHI Yong, et al. Prediction of soluble solids in Hami melon by CARS-SVM[J]. Food & Machinery,2021,37(6):81−85.
GUO Yang, GUO Junxian, SHI Yong, et al. Prediction of soluble solids in Hami melon by CARS-SVM[J]. Food & Machinery, 2021, 37(6): 81-85.
|
[22] |
袁莹, 王伟, 褚璇, 等. 光谱特征波长的SPA选取和基于SVM的玉米颗粒霉变程度定性判别[J]. 光谱学与光谱分析,2016,36(1):226−230. [YUAN Ying, WANG Wei, CHU Xuan, et al. Selection of characteristic wavelengths using SPA and qualitative discrimination of mildew degree of corn kernels based on SVM[J]. Spectroscopy and Spectral Analysis,2016,36(1):226−230.
YUAN Ying, WANG Wei, CHU Xuan, et al. Selection of characteristic wavelengths using SPA and qualitative discrimination of mildew degree of corn kernels based on SVM[J]. Spectroscopy and Spectral Analysis, 2016, 36(1): 226-230.
|
[23] |
李达, 郭晨霞, 杨瑞峰. 基于改进PSO-BP算法的动态称重数据处理[J]. 电子测量技术,2021,44(20):132−136. [LI Da, GUO Chenxia, YANG Ruifeng. Dynamic weighing data processing based on improvede PSO-BP algorithm[J]. Electronic Measurement Technology,2021,44(20):132−136.
LI Da, GUO Chenxia, YANG Ruifeng. Dynamic weighing data processing based on improvede PSO-BP algorithm[J]. Electronic Measurement Technology, 2021, 44(20): 132-136.
|
[24] |
尹怀仙, 王凯, 张铁柱, 等. 基于PSO-BP神经网络的城轨列车转向架轮对轴箱故障预测[J]. 复杂系统与复杂性科学,2015,12(4):97−103. [YIN Huaxian, WANG Kai, ZHANG Tiezhu, et al. Fault prediction based on PSO-BP neural network about wheel and axle box of bogie in urban rail train[J]. Complex Systems and Complexity Science,2015,12(4):97−103.
YIN Huaxian, WANG Kai, ZHANG Tiezhu, et al. Fault prediction based on PSO-BP neural network about wheel and axle box of bogie in urban rail train[J]. Complex Systems and Complexity Science, 2015, 12(4): 97-103.
|
[25] |
KHODAKHAH H, AGHELPOUR P, HAMEDI Z. Comparing linear and non-linear data-driven approaches in monthly river flow prediction, based on the models SARIMA, LSSVM, ANFIS, and GMDH[J]. Environmental Science and Pollution Research,2022,29(15):21935−21954. doi: 10.1007/s11356-021-17443-0
|
[26] |
SYAH R, REZAEI M, ELVENY M, et al. Retracted article: Day-ahead electricity price forecasting using WPT, VMI, LSSVM-based self adaptive fuzzy kernel and modified HBMO algorithm[J]. Scientific Reports,2021,11(1):1−21. doi: 10.1038/s41598-020-79139-8
|
[27] |
TAN Q W, LI W Y, CHEN X. Identification the source of fecal contamination for geographically unassociated samples with a statistical classification model based on support vector machine[J]. Journal of Hazardous MaterialsVolume,2020,407(1):124821.
|
[28] |
CUONG L T, NGHIA N T, KHATIR S, et al. An efficient approach for damage identification based on improved machine learning using PSO-SVM[J]. Engineering with Computers, 2021: 1−16.
|
[29] |
褚小立. 化学计量学方法与分子光谱分析技术[M]. 化学工业出版社, 2011
CHU Xiaoli. Diagnosis of endometrial cancer based on logistic ressgression and near infrared spectroscopy[M]. Chemical Industry Press, 2011.
|
[30] |
张正竹. 茶生物化学实验教程[M]. 北京: 中国农业出版社, 2009
ZHANG Zhengzhu. Tea biochemistry experiment tutorial[M]. Beijing: China Agriculture Press, 2009.
|
[31] |
张国权, 罗崧方, 黄建蓉, 等. 三氯化铝比色法检测桑叶提取物总黄酮的研究[J]. 农产品加工,2018(7):52−54,57. [ZHANG Guoquan, LUO Songfang, HUANG Jianrong, et al. Determination of total flavonoids in mulberry leaf extract by aluminium trichloride colorimetric method[J]. Farm Products Processing,2018(7):52−54,57.
ZHANG Guoquan, LUO Songfang, HUANG Jianrong, et al. Determination of total flavonoids in mulberry leaf extract by aluminium trichloride colorimetric method[J]. Farm Products Processing, 2018(7): 52-54, 57.
|
[32] |
郭颖, 陈琦, 黄峻榕, 等. 茶叶滋味与其品质成分的关系[J]. 茶叶通讯,2015,42(3):13−15. [GUO Ying, CHEN Qi, HUANG Junrong, et al. The tea flavor quality and its ingredients[J]. Journal of Tea Communication,2015,42(3):13−15. doi: 10.3969/j.issn.1009-525X.2015.03.003
GUO Ying, CHEN Qi, HUANG Junrong, et al. The tea flavor quality and its ingredients[J]. Journal of Tea Communication, 2015, 42(3): 13-15. doi: 10.3969/j.issn.1009-525X.2015.03.003
|
[33] |
程焕, 贺玮, 赵镭, 等. 红茶与绿茶感官品质与其化学组分的相关性[J]. 农业工程学报,2012,28(S1):375−380. [CHENG Huan, HE Wei, ZHAO Le, et al. Correlation between sensory attributes and chemical components of black and green tea[J]. Transactions of the Chinese Society of Agricultural Engineering,2012,28(S1):375−380.
CHENG Huan, HE Wei, ZHAO Le, et al. Correlation between sensory attributes and chemical components of black and green tea[J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(S1): 375-380.
|
[1] | GAO Jingyao, LÜ Xinmeng, ZHOU Zhi, XIONG Guangquan, WANG Lan, WU Wenjin, SHI Liu, LIU Bin, HUANG Yun, ZHONG Xuefen, QIAN Leiming. Research Progress on the Application of Non-thermophysical Technology and Natural Antibacterial Agents on the Preservation of Chilled Livestock and Poultry Meat Products[J]. Science and Technology of Food Industry, 2025, 46(7): 405-414. DOI: 10.13386/j.issn1002-0306.2024040140 |
[2] | WANG Erlei, HUANG Jiaying, DUAN Haizhang, XU Caina. Progress on the Stabilization Technology of Anthocyanins and the Application Prospects[J]. Science and Technology of Food Industry, 2024, 45(18): 394-403. DOI: 10.13386/j.issn1002-0306.2023100250 |
[3] | YANG Yi, JIANG Baojie, WANG Zhen, LI Li, WANG Xin, SUN Jilu, SHAO Juanjuan. Research Progress on Biological Activity and Application of Marine Animal Polysaccharides[J]. Science and Technology of Food Industry, 2024, 45(16): 418-424. DOI: 10.13386/j.issn1002-0306.2023090217 |
[4] | YOU Xiaopeng, CHEN Zhixian. Nutrients, Functions and Application Prospects of Yeast Protein in Sports Nutrition Foods[J]. Science and Technology of Food Industry, 2024, 45(8): 366-371. DOI: 10.13386/j.issn1002-0306.2023050169 |
[5] | JIANG Xiaochen, HUO Yingjiao, DONG Shiyuan. Research Progress in the Application of High Voltage Electrostatic Technology in Meat, Fruit, and Vegetable Preservation[J]. Science and Technology of Food Industry, 2023, 44(17): 447-453. DOI: 10.13386/j.issn1002-0306.2022110063 |
[6] | DONG Juncen, GAO Sunan, CHEN Jianchu. Application Progress and Prospect of Light-emitting Diode Light Technology in Food Preservation[J]. Science and Technology of Food Industry, 2021, 42(16): 374-380. DOI: 10.13386/j.issn1002-0306.2020080116 |
[7] | TANG Min-min, WANG Hong-yi, LIU Fang, ZHU Yong-zhi, WANG Dao-ying, XU Wei-min, SUN Zhi-lan. Mechanism of Nano-embedding Technology of Plant Essential Oil and Its Application in Meat Preservation[J]. Science and Technology of Food Industry, 2020, 41(21): 345-350. DOI: 10.13386/j.issn1002-0306.2020020013 |
[8] | WANG Yan-sheng, ZHAI Xia-qiu, ZHENG Xiao-guang, GONG Zhi-qing, CUI Wen-jia, JIA Feng-juan, WANG Wen-liang. Application Prospects and Research Hotspots of Edible Fungi Proteins[J]. Science and Technology of Food Industry, 2019, 40(10): 339-344. DOI: 10.13386/j.issn1002-0306.2019.10.055 |
[9] | XU Li-jing, GAO Li-pu, WANG Qing, ZUO Jin-hua. The application of the irradiation technology in Agaricus bisporus preservation[J]. Science and Technology of Food Industry, 2014, (09): 392-395. DOI: 10.13386/j.issn1002-0306.2014.09.078 |
[10] | WANG Li-ming, MA Ning, LI Song, WANG Chun-ling, LIU Jing-xin. Nutritional properties of quinoa and its application prospects[J]. Science and Technology of Food Industry, 2014, (01): 381-384. DOI: 10.13386/j.issn1002-0306.2014.01.007 |