Non-destructive determination of taste-related substances in fresh tea using NIR spectra-Reference-Cited by-同舟云学术

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Non-destructive determination of taste-related substances in fresh tea using NIR spectra

Published:2023-08-08 Issue:6 Volume:17 Page:5874-5885
ISSN:2193-4126
Container-title:Journal of Food Measurement and Characterization
language:en
Short-container-title:Food Measure

Author:

Wang Fan,Cao Qiong,Zhao Chunjiang,Duan Dandan^ORCID,Chen Longyue,Meng Xiangyu

Funder

Research on regional tea quality targeted testing technology

Remote Sensing Assessment and Application of Tea Quality and Tea Garden Disasters in Mountainous Areas

Research and Application of Intelligent Enhancement of Oil Tea Industry with Special Characteristics in Heyuan City

Research of Smart Ecological Tea Garden and Carbon Storage Detection Technology in Shaoguan City

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science

Link

https://link.springer.com/content/pdf/10.1007/s11694-023-02096-z.pdf

Reference43 articles.

1. H.A.G. Al-Kaf, N.A.M. Alduais, A.M.H.Y. Saad, K.S. Chia, A.M. Mohsen, H. Alhussian, A.A.M.H. Mahdi, W.S.I.W. Salam, A bootstrapping soft shrinkage approach and interval random variables selection hybrid model for variable selection in near-infrared spectroscopy. IEEE Access 8, 168036–168052 (2020). https://doi.org/10.1109/ACCESS.2020.3023681

2. A. Alishahi, H. Farahmand, N. Prieto, D. Cozzolino, Identification of transgenic foods using NIR spectroscopy: a review. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 75(1), 1–7 (2010). https://doi.org/10.1016/j.saa.2009.10.001

3. A. Banskota, M.J. Falkowski, A.M.S. Smith, E.S. Kane, K.M. Meingast, L.L. Bourgeau-Chavez, M.E. Miller, N.H. French, Continuous wavelet analysis for spectroscopic determination of subsurface moisture and water-table height in northern peatland ecosystems. IEEE Trans. Geosci. Remote Sens. 55(3), 1526–1536 (2017). https://doi.org/10.1109/TGRS.2016.2626460

4. M. Bilal, Z. Xiaobo, M. Arslan, H.E. Tahir, Y. Sun, R.M. Aadil, Near infrared spectroscopy coupled chemometric algorithms for prediction of the antioxidant activity of peanut seed (Arachis hypogaea). J. Near Infrared Spectrosc. 29(4), 191–200 (2021). https://doi.org/10.1177/0967033520979425

5. V. Cardoso, R.J. Poppi, Non-invasive identification of commercial green tea blends using NIR spectroscopy and support vector machine. Microchem. J. 164, 106052 (2021)

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1. Research Review on Quality Detection of Fresh Tea Leaves Based on Spectral Technology;Foods;2023-12-20

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