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Proceedings of the International Conference on Advancements in Materials, Design and Manufacturing for Sustainable Development, ICAMDMS 2024, 23-24 February 2024, Coimbatore, Tamil Nadu, India

Research Article

Multi-sensors system based on Layer-by-Layer nanostructured materials for Indian tea discrimination

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  • @INPROCEEDINGS{10.4108/eai.23-2-2024.2346980,
        author={Dhanus Raj  Kanaga Raj and Maria Luisa  Braunger and Jibu  Thomas and Douglas Fernandes  Barbin},
        title={Multi-sensors system based on Layer-by-Layer nanostructured materials for Indian tea discrimination},
        proceedings={Proceedings of the International Conference on Advancements in Materials, Design and Manufacturing for Sustainable Development, ICAMDMS 2024, 23-24 February 2024, Coimbatore, Tamil Nadu, India},
        publisher={EAI},
        proceedings_a={ICAMDMS},
        year={2024},
        month={6},
        keywords={sensors impedimetric e-tongue lbl nanostructure films black tea; chemometrics},
        doi={10.4108/eai.23-2-2024.2346980}
    }
    
  • Dhanus Raj Kanaga Raj
    Maria Luisa Braunger
    Jibu Thomas
    Douglas Fernandes Barbin
    Year: 2024
    Multi-sensors system based on Layer-by-Layer nanostructured materials for Indian tea discrimination
    ICAMDMS
    EAI
    DOI: 10.4108/eai.23-2-2024.2346980
Dhanus Raj Kanaga Raj1,*, Maria Luisa Braunger2, Jibu Thomas3, Douglas Fernandes Barbin1
  • 1: State university of Campinas (UNICAMP)
  • 2: IMT Nord Europe
  • 3: Karunya Institute of Science and Technology
*Contact email: d263161@dac.unicamp.br

Abstract

Nanostructure films used in assessment of chemical fingerprint in complex samples bring economic importance for quality control. In this regard impedimetric based multi-sensors system fabricated with nanostructure polymers was applied for Indian tea classification from two different origin. The important indicator for black tea quality such a total flavonoids and polyphenols was estimated to investigate the chemical composition. The generated data from multi-sensor analyzed using chemometric tool such as principal component analysis (PCA) and partial least squares discriminant analysis (PLSDA. This helped visualize and classify the two classes of tea, respectively. The final results promise the capability of the multi-sensor device in classification of Indian tea according to their origin.

Keywords
sensors impedimetric e-tongue lbl nanostructure films black tea; chemometrics
Published
2024-06-17
Publisher
EAI
http://dx.doi.org/10.4108/eai.23-2-2024.2346980
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