Geochemical characteristics affecting the cultivation and quality of Longjing Tea

Zhou, Guohua; Zhu, Lixin; Ren, Tianxiang; Zhang, Liansheng; Gu, Jinqiu

doi:10.1016/0375-6742(95)00017-8

Cited by 8 publications

(7 citation statements)

References 1 publication

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“…11 As a highly valued product, tea is prone to adulteration to increase profit. The quality of tea is closely associated with geographical origin, 12,13 and much attention has been focused on the identification of its geographical origin. [14][15][16][17][18][19] However, the feasibility of classifying the origin of tea using REEs is still unknown.…”

Section: Introductionmentioning

confidence: 99%

The suitability of rare earth elements for geographical traceability of tea leaves

Zhao

Yang

2019

J Sci Food Agric

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BACKGROUND Rare earth elements (REEs) have been used for the identification of the geographical origins of an increasing number of foods. This study analyzed the effects of geographical origin, harvest season, variety, and their interactions on REEs in tea leaves to investigate whether REEs were suitable for geographical identification of tea leaves. Tea leaves of different varieties and the corresponding soils were collected in different seasons from different areas of China. The concentrations of 14 REEs in tea leaves and soils were determined, and then analyzed with one‐way analysis of variance (ANOVA), multi‐way ANOVA, correlation analysis, and linear discriminant analysis. RESULTS All factors significantly affected the contents of REEs in tea leaves. The concentrations of REEs in tea leaves were related to those in provenance soils. However, the concentrations of most REEs in tea leaves were primarily affected by the harvest season. CONCLUSION Seasonal variations should be considered when REE fingerprinting is applied for the identification of tea for authentication purposes. © 2019 Society of Chemical Industry

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Section: Introductionmentioning

confidence: 99%

The suitability of rare earth elements for geographical traceability of tea leaves

Zhao

Yang

2019

J Sci Food Agric

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“…Soil geochemistry as a main component of ecosystems is relevant to a wide range of earth and life science investigations (Reimann et al 2000). Regional geochemical mapping data have been used to solve agricultural problems (Zhou et al 1995). A systematic research project was carried out by the Institute of Geophysical and Geochemical Exploration, in cooperation with agricultural experts, to study the relationship between crop growth and geochemical environment (Zhou et al 1995).…”

Section: Introductionmentioning

confidence: 99%

“…Regional geochemical mapping data have been used to solve agricultural problems (Zhou et al 1995). A systematic research project was carried out by the Institute of Geophysical and Geochemical Exploration, in cooperation with agricultural experts, to study the relationship between crop growth and geochemical environment (Zhou et al 1995). It is well known that the material cycle is the elementary cycle in the ecosystem, and the element circulation in the biosphere will have an impact on crop growth, human health, and ecosystem stability (Li and Cen 2006).…”

Section: Introductionmentioning

confidence: 99%

Soil Microbial Community Diversity and Its Relationships with Geochemical Elements under different Farmlands in Shouguang, China

Zhou

Wang

Guo

et al. 2011

Communications in Soil Science and Plant Analysis

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The aims of this study were to investigate soil microbial community characteristics and their interrelationships with soil geochemistry under different farmlands in Shouguang, China. The traditional dilution plate counts, BIOLOG system, and fatty acid methyl ester (FAME) analyses were used to assess microbial populations, substrate utilization, and fatty acid profiles. The number of aerobic heterotrophic bacteria varied significantly among untilled land, maize, and mungbean fields. The amounts of actinomycetes, fungal fatty acids, and Gram-positive/Gram-negative bacteria ratios varied greatly among celery, tomato, and aubergine fields. In the tomato field, the soil microbial community characteristics were significantly different from other fields. Principal component analysis of BIOLOG and FAME data revealed differences in the catabolic capability and fatty acid profiles of soil microbial communities among different farmlands. Spearman correlation analyses showed that in these sand clay soils of Shouguang, microbial communities in different farmlands were closely correlated with soil geochemical elements, moisture, and organic matter.

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“…Longjing tea, a green tea produced from Hangzhou and its neighboring areas, has been traditionally recognized as a top-grade green tea for its top quality as well as its cultural backgrounds [4,5]. Longjing tea leaves are roasted soon after picking to cease the natural oxidation process.…”

Section: Introductionmentioning

confidence: 99%

“…When steeped, the flat and straight leaves produce a yellow-green color. Its flavor and taste are very gentle and sweet, although it has one of the highest concentrations of catechins among teas [4,5], which is an important indicator of high-quality green teas.…”

Section: Introductionmentioning

confidence: 99%

Robust and Automated Internal Quality Grading of a Chinese Green Tea (Longjing) by Near-Infrared Spectroscopy and Chemometrics

et al. 2013

Journal of Spectroscopy

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Near-infrared (NIR) spectroscopy and chemometric methods were applied to internal quality control of a Chinese green tea, Longjing, with Protected Geographical Indication (PGI). A total of 2745 authentic Longjing tea samples of three different grades were analyzed by NIR spectroscopy. To remove the influence of abnormal samples, The Stahel-Donoho estimate (SDE) of outlyingness was used for outlier analysis. Partial least squares discriminant analysis (PLSDA) was then used to classify the grades of tea based on NIR spectra. Different data preprocessing methods, including smoothing, taking second-order derivative (D2) spectra, and standard normal variate (SNV) transformation, were performed to reduce unwanted spectral variations in samples of the same grade before classification models were developed. The results demonstrate that smoothing, taking D2 spectra, and SNV can improve the performance of PLSDA models. With SNV spectra, the model sensitivity was 1.000, 0.955, and 0.924, and the model specificity was 0.979, 0.952, and 0.996 for samples of three grades, respectively. FT-NIR spectrometry and chemometrics can provide a robust and effective tool for rapid internal quality control of Longjing green tea.

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Geochemical characteristics affecting the cultivation and quality of Longjing Tea

Cited by 8 publications

References 1 publication

The suitability of rare earth elements for geographical traceability of tea leaves

The suitability of rare earth elements for geographical traceability of tea leaves

Soil Microbial Community Diversity and Its Relationships with Geochemical Elements under different Farmlands in Shouguang, China

Robust and Automated Internal Quality Grading of a Chinese Green Tea (Longjing) by Near-Infrared Spectroscopy and Chemometrics

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