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1.
Pongsuwan W Fukusaki E Bamba T Yonetani T Yamahara T Kobayashi A 《Journal of agricultural and food chemistry》2007,55(2):231-236
An innovative technique for green tea's quality determination was developed by means of metabolomics. Gas-chromatography coupled with time-of-flight mass spectrometry and multivariate data analysis was employed to evaluate the quality of green tea. Alteration of green tea varieties and manufacturing processes effects a variation in green tea metabolites, which leads to a classification of the green tea's grade. Therefore, metabolic fingerprinting of green tea samples of different qualities was studied. A set of ranked green tea samples from a Japanese commercial tea contest was analyzed with the aim of creating a reliable quality-prediction model. Several multivariate algorithms were performed. Among those, the partial least-squares projections to latent structures (PLS) analysis with the spectral filtering technique, orthogonal signal correction (OCS), was found to be the most practical approach. In addition, metabolites that play an important role in green tea's grade classification were identified. 相似文献
2.
Pongsuwan W Bamba T Yonetani T Kobayashi A Fukusaki E 《Journal of agricultural and food chemistry》2008,56(3):744-750
A couple between pyrolyzer and gas chromatography/mass spectrometry (GC/MS) has allowed a fast, simple, and low-cost approach to evaluate a quality of Japanese green tea without any sample preparation or derivatization techniques. Using our method, errors from sample preparation could be avoided since raw samples were directly extracted through the extreme heat of the pyrolyzer. In addition, undesired reactions from expensive derivatizing agents, which are commonly needed to treat the samples before analyzing with GC/MS, could be omitted. In order to illustrate the efficiency of this technique, a set of green tea samples from the Tea contest in 2005 in the Kansai area were used. Projection to latent structure by means of partial least squares (PLS) along with orthogonal signal correction (OSC) was selected to explain the relation between green tea's metabolite profiling and its quality. The quality of the model was validated by testing and comparing the predictive ability to the respective model. 相似文献
3.
Selenium-enriched green tea leaves were prepared by foliar applications of selenium-amended fertilizer during autumn season. The influence of selenium (Se) on preservation quality of tea during 4-month storage was determined. The results showed that the Se and vitamin C contents of green tea were significantly increased by selenium spraying during the autumn tea-producing season. The vitamin C content of Se-enriched green tea was higher and its decline was significantly slower during storage compared to normal green tea. However, there was no significant difference between the contents of chlorophyll and polyphenol of Se-enriched and regular tea. During the first 60 days, the color of green tea extract in Se-enriched green tea and normal tea showed no significant difference. However, the color of green tea extract in Se-enriched green tea was more stable compared with normal tea during the storage period. The sweetness and aroma of extracts of Se-enriched green tea were also significantly higher than that of normal tea and the bitterness of extracts of Se-enriched green tea was significantly lower compared with normal tea. These results showed that selenium application can slow the reduction of tea's major component and thus improve preservation qualities of green tea. 相似文献
4.
Tarachiwin L Ute K Kobayashi A Fukusaki E 《Journal of agricultural and food chemistry》2007,55(23):9330-9336
Classification of tea quality is now mainly performed according to the sensory results by professional tea tasters. However, this evaluation method is inconsistent in differentiating their qualities. A combination of a (1)H NMR technique and a multivariate analysis was introduced to the quality evaluation of green tea by means of a metabolomic technique. A broad range of metabolites were detected by (1)H NMR spectrometry. The principal component analysis (PCA) was used to reduce the complexity of the (1)H NMR spectra data set and provided the quality discrimination result. It offered an extensive clue for classification and quality assessment without any prepurification method. A set of green teas from a Japanese tea contest were analyzed by (1)H NMR to classify the quality with respect to that judged by tea tasters and to conceive a quality prediction model. Metabolic profiling and fingerprinting of (1)H NMR spectra of green teas with different quality were studied. PCA showed a separation between the high- and the low-quality green teas. The taste marker compounds contributing to the discrimination of tea quality were identified. Reliable prediction models were obtained by the partial least-squares projection to latent structure (PLS) analysis together with a preprocessing filter of both orthogonal signal correction (OSC) and a combination between OSC and wavelet transform algorithms. 相似文献
5.
Pongsuwan W Bamba T Harada K Yonetani T Kobayashi A Fukusaki E 《Journal of agricultural and food chemistry》2008,56(22):10705-10708
Applications of metabolomics techniques along with chemometrics provide an understanding in the relationship between metabolome of green tea and its quality. A coupled of ultra-performance liquid chromatography with time-of-flight mass spectrometry (UPLC/TOF MS) allowed a high-throughput and comprehensive analysis with minimal sample preparation. Using this technique, a wide range of metabolites were investigated. Data analysis was rapid, considering that the fingerprinting technique was performed. A set of green tea samples from 2006 tea contest of the Kansai area was analyzed to prove usefulness of the developed technique. Green tea with different qualities were discriminated through principal component analysis (PCA). Consequently, projection to latent structure by means of partial least-squares (PLS) was performed to create a constructive quality-predictive model by means of metabolic fingerprinting. Beside epigallocatechin, other predominant catechins, including epigallocatechin gallate and epicatechin gallate, detected in green tea were found to be significant biomarkers to the high quality of Japanese green tea (Sencha). 相似文献
6.
不同茶树品种(系)的绿茶滋味分析及评价模型构建 总被引：1，自引：3，他引：1
为客观准确地评价不同茶树品种(系)绿茶的滋味品质,该研究系统分析了25个茶树品种(系)绿茶的主要滋味成分含量及其Dot值,利用主成分分析法对不同茶树品种(系)绿茶滋味品质进行综合评价并建立滋味品质评价模型。结果表明:儿茶素、咖啡碱是不同茶树品种(系)绿茶苦涩味强度差异的主要原因,其中表没食子儿茶素没食子酸酯(Epigallocatechingallate,EGCG)是所测样品中涩味的主要贡献物质,EGCG和咖啡碱为所测样品中苦味的主要贡献物质。氨基酸是不同茶树品种(系)绿茶鲜味、甜味差异主要因素,谷氨酸是所测样品中鲜味的主要贡献物质。主成分分析表明:前5个主成分的累计方差贡献率为79.018%,并以前5个主成分的线性回归方程和贡献率构建了滋味品质评价模型,模型评价结果与感官审评结果较为相似,存在极显著相关性(P0.01),相关系数为0.791;利用模型中各主成分的得分,能够较好的区分所测样品的苦、涩、鲜、爽等滋味特征。因此,该研究所建模型能够较好的评价所测样品的滋味品质及其主要滋味特征的差异,为各茶树品种(系)的推广应用提供理论依据,也为不同茶树品种(系)绿茶滋味品质的科学评价提供新的思路和方法。 相似文献
7.
基于漫反射光谱的初制绿茶含水率无损检测方法 总被引：7，自引：4，他引：3
茶叶含水率是影响茶叶加工品质的一项重要指标。为了实现茶叶加工中含水率的快速检测,该文提出了一种应用漫反射光谱技术的绿茶初制过程中含水率无损检测方法。采用波长范围在325～1 075 nm 的可见-短波近红外光谱仪,对炒青绿茶在8个加工工序中随机抽取的568个茶叶样本进行漫反射光谱扫描,光谱扫描后立即测量样本的含水率。对于得到的光谱数据,采用小波变换降低其信息维度并提取小波系数,比较小波低频系数对于光谱特征信息的提取能力,结果显示,小波低频系数能够有效提取原始光谱数据中的特征信息。采用3种回归算法：偏最小二乘回归、神经网络和支持向量机分别建立含水率的测量模型。比较发现支持向量机回归模型的结果最优,建模相关系数为0.9985,预测相关系数为0.9875。研究结果表明,漫反射光谱可以用于绿茶含水率的无损、快速检测,小波变换是一种有效的光谱特征提取算法,而且支持向量机回归算法具有高精度和强泛化能力,可广泛用于回归分析。 相似文献
8.
应用FT-IR光谱指纹分析和模式识别技术溯源茶叶产地的研究 总被引：11，自引：0，他引：11
利用近红外光谱分析技术,对28份茶样品进行主成分和聚类分析。结果表明,浙江省龙井绿茶近红外原始光谱谱图差异较大,而不同产地龙井绿茶原始光谱间差异不甚明显。对原始光谱数学处理后对其进行主成份分析,发现在主成分空间内第1主成分得分绝大部分为正,继而对不同产地的样品进行主成分分析,西湖龙井有比较明显的主成分特征,区别于浙江龙井;"西湖龙井"主成份空间分布的离散度大于浙江各市县龙井的变异。对龙井绿茶样品进行聚类分析,得出相同产地的绿茶样品可聚为一类。初步表明应用近红外光谱分析技术可准确、快速、低廉地追溯茶叶的产地。 相似文献
9.
基于高效液相色谱的普洱晒青毛茶指纹图谱识别方法 总被引：4，自引：0，他引：4
为了对不同产地的晒青毛茶进行鉴别,研究了晒青毛茶高效液相色谱指纹图谱的不同识别方法。运用相关系数、夹角余弦和重叠率3种方法分别计算指纹图谱的相似度,以数字化指纹图谱为基础,对样品进行了系统聚类,分析了18个茶叶样品的主成分,并以前2个主成分作二维散点图。结果表明,3种方法均能准确地体现指纹图谱的相似程度,使毛茶与绿茶得到良好的分离;茶叶内含成分复杂,主成分较多,7个主成分累计贡献率为88.61%,系统聚类和二维排序散布图能够区分晒青毛茶和绿茶,具有简便、直观的特点。4种识别模式均能较好地对指纹图谱进行识别,为普洱茶原料鉴别和质量控制提供新的试验依据。 相似文献
10.
Tea, Camellia sinensis (L.) O. Kuntze (Theaceae) is cultivated in Argentina in the northeastern region (provinces of Misiones and Corrientes), between 26 degrees and 28 degrees south latitude, the southernmost area of the world where tea is cultivated. The objective of this work was to determine the total polyphenol content and the in vitro antioxidant capacity of green and black tea cultivated and industrialized in Argentina. Twelve samples of eight brands were analyzed. The total polyphenol content was determined according to the International Organization for Standardization method (ISO) 14502-1 for the determination of substances characteristic of green and black tea. The antioxidant capacity was determined by the ferric thiocyanate method (FTC) and the 1,1-diphenyl-2-picrylhydrazyl (DPPH) free-radical scavenging assay. Green tea showed a higher polyphenol content than black tea. The total polyphenol concentration in green tea was found to vary from 21.02 +/- 1.54 to 14.32 +/- 0.45% of gallic acid equivalents (GAE), whereas in black tea, the polyphenol content ranged from 17.62 +/- 0.42 to 8.42 +/- 0.55% of GAE (P < 0.05). A similar profile was observed for the antioxidant capacity determined by both methods. The antioxidant activities were well correlated with the total polyphenol content (r (2) = 0.9935 for the ferric thiocyanate method and r (2) = 0.9141 for the 1,1-diphenyl-2-picrylhydrazyl free-radical scavenging assay). This is the first systematic screening for the quantification of polyphenols and antioxidant activity in tea commercialized in Argentine markets. The results obtained herein allow one to conclude that Argentine tea is of very good quality when compared to teas from other sources. 相似文献
11.
A green tea extract (GTE) was incorporated into bread as a source of tea catechins. The stability of tea catechins in the breadmaking process including unfrozen and frozen dough was studied. A method was developed for the separation and quantification of tea catechins in GTE, dough, and bread samples using a RP-HPLC system. The separation system consisted of a C18 reversed-phase column, a gradient elution system of water/methanol and formic acid, and a photodiode array UV detector. Tea catechins were detected at 275 nm. GTEs at 50, 100, and 150 mg per 100 g of flour were formulated. The results obtained showed that green tea catechins were relatively stable in dough during freezing and frozen storage at -20 degrees C for up to 9 weeks. There were no further detectable losses of tea catechins in bread during a storage of 4 days at room temperature. It was also revealed that (-)-epigallocatechin gallate (EGCG) and (-)-epigallocatechin (EGC) were more susceptible to degradation than (-)-epicatechin gallate (ECG) and (-)-epicatechin (EC). (-)-EGCG and (-)-ECG were normally selected as the quality indices of green tea catechins, and their retention levels in freshly baked bread were ca. 83 and 91%, respectively. One piece of bread (53 g) containing 150 mg of GTE/100 g of flour will provide 28 mg of tea catechins, which is approximately 35% of those infused from one green tea bag (2 g). 相似文献
12.
红茶与绿茶感官品质与其化学组分的相关性 总被引：6，自引：2，他引：4
对茶叶感官审评分属性与其化学组分的相关性进行探讨,该文以不同等级、产地红茶和绿茶为代表,利用传统感官审评方法鉴定茶叶品质（外形、香气、汤色、滋味和叶底）,并对各品质指标进行相关性分析,筛选出对茶叶品质影响最重要的品质指标,即滋味。在利用尺度评价法对茶叶滋味品质的10个分属性（浓度、厚度、甘度、鲜度、醇度、涩度、嫩度、陈味、纯正度、火工度）进行更为细致的评定和对茶叶中主要呈味物质—茶多酚、咖啡碱、茶氨酸进行定量分析的基础上,对不同等级、不同产地茶叶的滋味分属性进行差异分析,并对化学组分与滋味分属性进行相关性分析,结果表明,各种茶样之间的产地和等级间差异主要是鲜度和涩度,而与之相关的组分主要是茶氨酸和咖啡碱,茶多酚的影响还有待进一步考察。该研究实现了茶叶感官品质的定量分析,提高了感官审评结果的客观性和确定性,为茶叶原产地保护和分等分级提供核心技术和标准支撑。 相似文献
13.
自动化加工生产线改善机采绿茶理化品质研究 总被引：2，自引：1，他引：1
以茶树机采鲜叶为原料,选配、改装和组建了茶叶加工自动化生产线,并跟踪加工工序中茶坯理化成分的动态变化,以同一原料所制的传统炒青工艺为对照,比较新设备和新工艺对机采卷曲形绿茶色泽和品质成分的影响。结果发现:新的生产线在杀青、二青、做形和提香等关键工序中,集成应用了电磁加热耦合热风、热管余热回收和流化床干燥技术,提高了茶叶的滋味和色泽品质,所制卷曲形绿茶的感官得分比传统炒青绿茶高2分,酚氨比相对较低(P0.05),干茶的色相值、茶汤、叶底的亮度和色相值相对更好(P0.01);相比传统单机加工设备,该生产线可日均生产绿茶1 750 kg,产能提高了37.5%,能耗成本为4.6～4.8元/kg干茶;热效率提高100%,用工成本减少50%。机采卷曲形绿茶自动化生产线扩大了茶叶加工产能,减轻了劳动强度,提高了卷曲形绿茶品质,为实际生产提供了指导。 相似文献
14.
Yanagimoto K Ochi H Lee KG Shibamoto T 《Journal of agricultural and food chemistry》2003,51(25):7396-7401
Antioxidative activities of volatile extracts from six teas (one green tea, one oolong tea, one roasted green tea, and three black teas) were investigated using an aldehyde/carboxylic acid assay and a conjugated diene assay. The samples were tested at levels of 20, 50, 100, and 200 micrograms/mL of dichloromethane. The results obtained from the two assays were consistent. All extracts except roasted green tea exhibited dose-dependent inhibitory activity in the aldehyde/carboxylic acid assay. A volatile extract from green tea exhibited the most potent activity in both assays among the six extracts. It inhibited hexanal oxidation by almost 100% over 40 days at the level of 200 micrograms/mL. The extract from oolong tea inhibited hexanal oxidation by 50% in 15 days. In the case of the extract from roasted green tea, the lowest antioxidative activity was obtained at the level of 200 micrograms/mL, suggesting that the extract from roasted green tea contained some pro-oxidants. The extracts from the three black teas showed slight anti- or proactivities in both assays. The major volatile constituents of green tea and roasted green tea extracts, which exhibited significant antioxidative activities, were analyzed using gas chromatography-mass spectrometry. The major volatile chemicals with possible antioxidative activity identified were alkyl compounds with double bond(s), such as 3,7-dimethyl-1,6-octadien-3-ol (8.04 mg/kg), in the extract from green tea and heterocyclic compounds, such as furfural (7.67 mg/kg), in the extract from roasted green tea. Benzyl alcohol, which was proved to be an antioxidant, was identified both in a green tea extract (4.67 mg/kg) and in a roasted tea extract (1.35 mg/kg). 相似文献
15.
High-performance liquid chromatography (HPLC) has been used to quantify levels of free amino acids, catechins, and caffeine in Chinese green tea. Levels of free amino acids and catechins in green tea leaves show obvious variation from spring to summer, which is useful information to identify the production season of commercial green tea. Supervised pattern recognition methods such as the K-nearest neighbor (KNN) method and Bayesian discriminant method (a type of linear discriminant analysis (LDA)) were used to discriminate between the production seasons of Chinese green tea. The optimal accuracy of the KNN method was ≤97.61 and ≤94.80% as validated by resubstitution and cross-validation tests, respectively, and that of LDA was ≤95.22 and ≤93.54%, respectively. Compared with LDA, the KNN method did not require a Gaussian distribution and was more accurate than LDA. The KNN method in combination with chemical analysis is recommended for discrimination of the production seasons of Chinese green tea. 相似文献
16.
基于近红外光谱和机器视觉的多信息融合技术评判茶叶品质 总被引：10，自引：6，他引：4
首次提出利用近红外光谱和机器视觉的多传感信息融合技术评判茶叶品质.试验以4个等级的炒青绿茶为试验对象,对获取的图像特征信息和光谱特征信息,通过主成分分析提取相应的主成分得分向量构成模式识别的输入.利用BP神经网络方法建立茶叶综合品质评判模型.在模型的建立过程中,对各个信息的主成分因子数进行了优化.从试验的结果看,在图像信息主成分因子数等于6,光谱信息主成分因子数等于3时,建立的模型最佳,模型训练时的回判率为99%,预测时的识别率为89%.研究结果表明基于近红外光谱和机器视觉技术的多传感信息融合技术评判茶叶综合品质的方法是可行的,评判结果的准确性和稳定性都较单个信息模型有所提高. 相似文献
17.
The objective of the present study was to determine whether green tea extracts are inhibitory to lipid oxidations catalyzed by lipoxygenase (LOX) and hemoglobin (Hb) using fish as an animal model. Green tea was extracted with water. LOX was extracted from the gills of grey mullet and tilapia, respectively. The LOX activity was determined using chemiluminescence and high-pressure liquid chromatography. The green tea extract showed inhibitory effects on both LOX-catalyzed and Hb-catalyzed oxidation of arachidonic acid and linoleic acid. Blood thinning effects were observed ex vivo by mixing the green tea extract with fish red blood cells and showed that the flow behavior of fish blood becomes closer to the Newtonian type with a thinner consistency. Similar effects were found on tilapia and grey mullet. 相似文献
18.
Wang Y Li Q Wang Q Li Y Ling J Liu L Chen X Bi K 《Journal of agricultural and food chemistry》2012,60(1):256-260
A simple and reliable method of high-performance liquid chromatography (HPLC) was developed for the quality control of oolong tea (the dry leaves of Camellia sinensis ): the quality control included the HPLC fingerprint and the quantitative determination of seven bioactive compounds chemicals, namely, (-)-gallocatechin, (-)-epigallocatechin, (-)-epigallocatechin gallate, caffeine, (-)-epicatechin, gallocatechin gallate, and (-)-epicatechin gallate. The developed analyses of the chemicals excelled in quantifying the chemicals in oolong tea. The chemical fingerprint of oolong tea was established using the raw materials of three main production sites in China, that is, Fujian (southern and northern parts), Taiwan, and Guangdong. The fingerprints from different cultivated sources were analyzed by hierarchical cluster analysis, similarity analysis, principal component analysis (PCA), analysis of variance (ANOVA), and discriminant analysis. The results indicated that the combination of chromatographic fingerprint and quantification analysEs could be used for the quality assessment of oolong tea and its derived products. 相似文献
19.
为简化茶叶化学检测分析过程,实现茶叶高精度等级评价,该研究以黄山毛峰茶为研究对象,结合茶叶中茶多酚、儿茶素、咖啡碱、没食子酸及氨基酸成分检测,提出基于Elastic Net特征变量选择的茶叶等级评价方法,建立基于特征成分的黄山毛峰茶等级评价模型。试验选取6个不同等级共96个黄山毛峰茶叶样品,并分析了全部样品的19个成分,通过ElasticNet选取了9个特征成分(没食子酸、表儿茶素没食子酸酯、儿茶素、表儿茶素、没食子酸儿茶素没食子酸酯、表没食子儿茶素、谷氨酸、精氨酸和儿茶素苦涩味指数)建立等级评价模型,并与主成分分析(Principal Components Analysis, PCA)进行对比。100次蒙特卡罗试验结果表明,相比于PCA预测集准确率平均值为70.79%,基于Elastic Net特征变量选择的黄山毛峰茶等级评价准确率更高为78.72%。在此基础上,构建Elastic Net特征变量雷达图,实现黄山毛峰茶等级多变量综合评价可视化。研究结果表明所提方法可有效选择茶叶特征成分,提高黄山毛峰茶等级评价准确率,为茶叶高精度等级评价提供参考。 相似文献
20.
A total of 15 green tea samples were prepared from fresh tea leaves obtained from three different countries: two from Laos, seven from Myanmar, and six from Vietnam. The volatile aroma constituents of the 15 samples were analyzed by gas chromatography/mass spectroscopy. Eleven aroma constituents were chosen from over 100 chemicals found in the samples to compare differences among various teas. They were hexanal, 1-penten-3-ol, heptanal, 1-pentenal, (Z)-2-penten-1-ol, (Z)-3-penten-1-ol, linalool oxide (trans-furanoid), linalool oxide (cis-furanoid), linalool, linalyl propanoate, and geraniol. Generally, concentrations of linalool and hexanal seem to play an important role in the quality of green teas. Green teas from Laos and Myanmar contained heterocyclic compounds, such as pyridines and pyrazines, formed by high-temperature processing. The presence of these heterocyclic compounds suggested that the temperature used for tea processing plays an important role in the formation of aroma chemicals in green teas. 相似文献