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Page 1
Prediction of Soluble Solids and Lycopene Content of Processing Tomato Cultivars by Vis-NIR Spectroscopy.
Front Nutr. 2022 Jun 28;9:845317. doi: 10.3389/fnut.2022.845317. eCollection 2022.
Front Nutr. 2022.
PMID: 35836590
Free PMC article.
Efficient HPLC Separation on a Core-C30 Column with MS2 Characterization of Isomers, Derivatives and Unusual Carotenoids from Tomato Products.
Daood HG, Ráth S, Palotás G, Halász G, Hamow K, Helyes L.
Daood HG, et al. Among authors: palotas g.
J Chromatogr Sci. 2022 Apr 28;60(4):336-347. doi: 10.1093/chromsci/bmab085.
J Chromatogr Sci. 2022.
PMID: 34184033
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HPLC determination of capsaicinoids with cross-linked C18 column and buffer-free eluent.
Daood HG, Halasz G, Palotás G, Palotás G, Bodai Z, Helyes L.
Daood HG, et al. Among authors: palotas g.
J Chromatogr Sci. 2015 Jan;53(1):135-43. doi: 10.1093/chromsci/bmu030. Epub 2014 May 17.
J Chromatogr Sci. 2015.
PMID: 24837232
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HPLC analysis of carotenoids from tomatoes using cross-linked C18 column and MS detection.
Daood HG, Bencze G, Palotás G, Pék Z, Sidikov A, Helyes L.
Daood HG, et al. Among authors: palotas g.
J Chromatogr Sci. 2014 Oct;52(9):985-91. doi: 10.1093/chromsci/bmt139. Epub 2013 Sep 17.
J Chromatogr Sci. 2014.
PMID: 24046161
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A Comparative Analysis of XGBoost and Neural Network Models for Predicting Some Tomato Fruit Quality Traits from Environmental and Meteorological Data.
M'hamdi O, Takács S, Palotás G, Ilahy R, Helyes L, Pék Z.
M'hamdi O, et al. Among authors: palotas g.
Plants (Basel). 2024 Mar 6;13(5):746. doi: 10.3390/plants13050746.
Plants (Basel). 2024.
PMID: 38475592
Free PMC article.
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