Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Neda Memarbashi"'
Publikováno v:
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
Universidade de Vigo (UVigo)
The potential of FT-IR spectra was examined to classify tea samples based on the geographical origins. Principal component analysis (PCA), principal component analysis-linear discriminant analysis (PCA-LDA) and partial least square-discriminant analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4074a54784bfb995e408b586b3f26fc3
https://linkinghub.elsevier.com/retrieve/pii/S0889157521005214
https://linkinghub.elsevier.com/retrieve/pii/S0889157521005214
Publikováno v:
Journal of Food Composition and Analysis. 115:104995
Finanaciado para publicación en acceso aberto: Universidade de Vigo/CISUG The potential of FT-IR spectral fingerprinting was investigated to classify tea samples based on the harvest season (May and September). Tea samples were collected from five g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2b8784a0b66adaa4b7831e9c6db3193
https://doi.org/10.1016/j.jfca.2022.104995
https://doi.org/10.1016/j.jfca.2022.104995
Autor:
Neda Memarbashi, Taher Alizadeh
Publikováno v:
Separation and Purification Technology. 90:83-91
In this work, three types of molecularly imprinted polymers (MIP) containing atenolol selective sites were prepared by the methods of bulk polymerization, precipitation polymerization and suspension polymerization in silicon oil. Then, the MIP partic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9459b2c893753ae02d0b26e5c1863a8
https://doi.org/10.1016/j.seppur.2012.02.005
https://doi.org/10.1016/j.seppur.2012.02.005