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Effect of cultivar and season on the robustness of PLS models for soluble solid content prediction in apricots using FT-NIRS

FT-NIR models were developed for the non-destructive prediction of soluble solid content (SSC), titratable acidity (TA), firmness and weight of two commercially important apricot cultivars, “Hacıhaliloğlu” and “Kabaaşı” from Turkey. The models constructed for SSC prediction gave good results. We cou...

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書目詳細資料
發表在:J Food Sci Technol
Main Authors: Özdemir, İbrahim Sani, Bureau, Sylvie, Öztürk, Bülent, Seyhan, Ferda, Aksoy, Hatice
格式: Artigo
語言:Inglês
出版: Springer India 2018
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC6342789/
https://ncbi.nlm.nih.gov/pubmed/30728575
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13197-018-3493-3
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