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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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| Pubblicato in: | J Food Sci Technol |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer India
2018
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| Soggetti: | |
| Accesso online: | 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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