| کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن | 
|---|---|---|---|---|
| 8946249 | 1645337 | 2018 | 6 صفحه PDF | دانلود رایگان | 
عنوان انگلیسی مقاله ISI
												Formula optimization approach for an alternative Ready-to-Use Therapeutic Food
												
											ترجمه فارسی عنوان
													رویکرد بهینه سازی فرمول برای یک غذای آماده برای استفاده از غذای آماده
													
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																																												کلمات کلیدی
												
											موضوعات مرتبط
												
													علوم زیستی و بیوفناوری
													علوم کشاورزی و بیولوژیک
													دانش تغذیه
												
											چکیده انگلیسی
												Ready-to-Use Therapeutic Food (RUTF) is an energy-dense, micronutrient-enriched paste used for the Community-based Management of Acute Malnutrition (CMAM) in under-five children of low-income countries. Alternative recipes have to reach a decrease of production costs and the use of local staple ingredients, enforcing quality and acceptability of the product. This work consisted on an alternative RUTF formula optimization, with the aim to have a set of optimized creams suitable for child feeding, based on local and cheap ingredients. A response surface D-optimal design was carried out, adopting United Nations Children's Fund (UNICEF) constraints for RUTF formula. The creams showed a time-independent pseudoplastic behavior with n and K in the range 0.38-0.45 and 35-110â¯Paâsn, respectively. The Particle Size Distribution (PSD) curves, as determined by laser diffractometry, were mainly unimodal, with 90% percentiles (D90) varying from 40 to 140â¯Î¼m. Response variables better explained through chosen models were D90 and K parameter. Thanks to formula optimization approach it has been verified that the consistency and the particle size are strongly affected by the ingredient formulation. The best formulation of model RUTF was found, through the desirability function, imposing as constraints the minimization of both D90 and K index.
											ناشر
												Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: LWT - Volume 98, December 2018, Pages 148-153
											Journal: LWT - Volume 98, December 2018, Pages 148-153
نویسندگان
												Vincenzo Armini, Nicoletta A. Miele, Matteo Albero, Raffaele Sacchi, Silvana Cavella, 
											