کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7601042 | 1492148 | 2014 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Comparison of NIRS approach for prediction of internal quality traits in three fruit species
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Comparison of NIRS approach for prediction of internal quality traits in three fruit species Comparison of NIRS approach for prediction of internal quality traits in three fruit species](/preview/png/7601042.png)
چکیده انگلیسی
NIR Spectroscopy ability was investigated to assess the fruit structure effect (passion fruit, tomato and apricot) on prediction performance of soluble solids content (SSC) and titratable acidity (TA). Relationships between spectral wavelengths and SSC and TA were evaluated through the application of chemometric techniques based on partial least squares (PLS). Good prediction performance was obtained for apricot with correlation coefficients of 0.93 and 0.95 for SSC and TA and root mean square errors of prediction (RMSEP%) of 3.3% and 14.2%, respectively. For the passion fruit and tomato, the prediction models were not satisfactorily accurate due to the high RMSEP. Results showed that NIR technology can be used to evaluate apricot internal quality, however, it was not appropriate to evaluate internal quality in fruits with thick skin, (passion fruit), and/or heterogeneous internal structure (tomato).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Chemistry - Volume 143, 15 January 2014, Pages 223-230
Journal: Food Chemistry - Volume 143, 15 January 2014, Pages 223-230
نویسندگان
Gabrieli Alves de Oliveira, Sylvie Bureau, Catherine Marie-Geneviève Claire Renard, Adaucto Bellarmino Pereira-Netto, Fernanda de Castilhos,