4.7 Article

Understanding processing, maturity and harvest period effects to authenticate early-spring Longjing tea using stable isotopes and chemometric analyses

Journal

FOOD CONTROL
Volume 124, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.foodcont.2021.107907

Keywords

Early-spring Longjing tea; Stable isotopes; Drying method; Leaf maturity; Harvest period

Funding

  1. National Science and Technology Key Research and Development Project [LQ19C130003]
  2. Beijing Key Laboratory of Big Data Technology for Food Safety [BTBD-2019KF07]
  3. State Key Laboratory of Quality and Safety Hazard Factors and Risk Prevention and Control of Agricultural Products [2010DS700124-ZZ2004]
  4. New Talent Program of Zhejiang University of Technology [2019R03058]
  5. Key R&D projects in Zhejiang Province [2020C02023]
  6. Special Fund of Discipline Construction for Traceability of Agricultural Product (2019)

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Stable isotope analysis showed that different tea drying processes had little impact on tea stable isotopes, while 615N values varied among different maturity levels. 618O values were significantly correlated with air humidity, light intensity and precipitation.
Low-yielding early-spring (ES) Longjing tea is popular with Chinese consumers and commands a high price due to its scarcity, but it has a heightened risk of substitution with lower value tea products from later harvest periods due to similarities in appearance. In this study, tea samples from different harvest periods were analyzed using stable isotope analyses (613C, 615N, 62H, and 618O) to distinguish effects from different tea drying processes, leaf maturity and harvest period. Our results showed there were no significant differences among all stable isotopes for different tea drying processes (p 0.05). 613C values showed little difference among different maturity tea leaves over the entire spring period (p > 0.05). 615N values of mature leaves were found to be 0.4 parts per thousand higher than young leaves in early spring. 62H and 618O values of different maturity leaves had different fractionation ratios (RM/Y) of 1.17 and 1.14 in early spring and late spring, respectively (p < 0.05). Generally, tea stable isotopes showed seasonal enrichment in early spring, then depletion in late spring. 618O values were significantly correlated to air humidity, light intensity and precipitation (0.53 < r < 0.92), and 613C and 62H values were negatively correlated with air temperature and air humility, respectively (0.57 < r < 0.74). A supervised chemometric model (orthogonal partial least squares discriminant analysis, OPLS-DA) was used to classify the ES and late-spring (LS) Longjing tea, and the discriminant accuracy of the training set was 95 %, while the test set and blind set showed a good accuracy of 100 % and 83.3 %, respectively. Result showed that this new method was a feasible technique to protect ES Longjing tea, and also provides evidence that tea harvest periods can be predicted by using stable isotopes and chemometric analyses.

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