کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6402703 | 1330889 | 2014 | 32 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Predicting pear (cv. Clara Frijs) dry matter and soluble solids content with near infrared spectroscopy
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
دانش تغذیه
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Predicting pear (cv. Clara Frijs) dry matter and soluble solids content with near infrared spectroscopy Predicting pear (cv. Clara Frijs) dry matter and soluble solids content with near infrared spectroscopy](/preview/png/6402703.png)
چکیده انگلیسی
Regression models for predicting preharvest dry matter (DM) and soluble solids content (SSC), based on two spectral ranges (680-1000 nm and 1100-2350 nm), were compared. Models based on longer NIR spectra were more successful for both parameters (DM/SSC: R2 = 0.78-0.84; RMECV = 0.78/0.44; LVs = 6/7). SSC prediction was better than expected considering the presence of starch in fruit. Generally poor SSC prediction in the presence of starch could be related to the inability of models to distinguish between forms of carbohydrate. Variable selection and regression coefficients highlighted the contribution certain wavelengths made to DM and SSC models, especially for SSC prediction between â¼1500 and 1800 nm. Pear physiology may influence the accuracy of DM and SSC prediction due to the presence of stone cells just below the skin. These cells contain lignin and are a source of soluble solids in ripening fruit. Further research is needed to qualify and build on the results presented here.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: LWT - Food Science and Technology - Volume 59, Issue 2, Part 1, December 2014, Pages 1107-1113
Journal: LWT - Food Science and Technology - Volume 59, Issue 2, Part 1, December 2014, Pages 1107-1113
نویسندگان
Sylvia Travers, Marianne G. Bertelsen, Karen K. Petersen, Sergey V. Kucheryavskiy,