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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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| Gepubliceerd in: | J Food Sci Technol |
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| Hoofdauteurs: | , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Springer India
2018
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| Onderwerpen: | |
| Online toegang: | 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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