Authentication of premium tea based on geographical origin using NIR spectroscopy and multivariate analysis

C. Hammel Sobreira, M. V. da Silva Ferreira, M. Kamruzzaman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The authentication of the origin of the maker of the tea is extremely important to guarantee the quality of this plantation crop where near-infrared (NIR) spectroscopy stands out as a better alternative than laborious and expensive methods, such as gas chromatography-mass spectroscopy (CG-MS) and high-pressure liquid chromatography (HPLC) to help to discriminate the origin between samples. Thus, this work aimed to investigate a low-cost portable and benchtop NIR to classify tea leaves from two different origins (Brazil and India). Approximately 260 tea samples from Brazil (60%) and India (40%) were used for the investigation. PCA for portable NIR (PNIR) and benchtop (BNIR) showed a complete separation between the two groups. LDA and PLS-DA were used to classify the tea leaves into their respective origins. For PLS-DA, full spectra were used and the samples were divided into 70% for calibration and the remaining for validation. LDA and PLS-DA showed an accuracy of over 90% for both devices. Therefore, both low-cost PNIR, despite having different machinery (Fourier transformation feature) and BNIR, was able to classify the two classes of tea with reasonable accuracy. However, the former is easier to manage and cheaper than the latter and there is no need for a lab to do such a test. Thus, the correct distinction between these tea origins may prevent adding less expensive (mostly Brazilian) teas to Indian tea in the market.

Original languageEnglish (US)
Title of host publication2023 ASABE Annual International Meeting
PublisherAmerican Society of Agricultural and Biological Engineers
ISBN (Electronic)9781713885887
DOIs
StatePublished - 2023
Event2023 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2023 - Omaha, United States
Duration: Jul 9 2023Jul 12 2023

Publication series

Name2023 ASABE Annual International Meeting

Conference

Conference2023 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2023
Country/TerritoryUnited States
CityOmaha
Period7/9/237/12/23

Keywords

  • black tea
  • multivariate analysis
  • PLS regression, discrimination analysis

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Bioengineering

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