Written by Zatolah Asemi, Mohsen Taghizade, Shadi Sarahroodi, Hoda Ahmari Tehran
Parent Category: Browse issues of Electronic Physician by year and volume
Category: Year 2010, Volume 2
Introduction: Delivery of low-cost, high-protein foods from local materials for weaning infants is a challenge for developing countries. The quality of nutritional protein of cereal/legume mixtures must be developed with an optimal nutrient profile. The current study was conducted to biologically evaluate (in rats) the protein found in two homemade foods and a commercial weaning food.
Methods: Biological evaluation of the formulations was conducted in 21-day-old weanling Wistar rats, compared with a control diet of casein. The nutrient quality of the weaning foods were monitored by measuring protein efficiency ratio (PER), net protein ratio (NPR), relative net protein ratio (RNPR), true digestibility (TD), apparent digestibility (AD), and food efficiency ratio (FER).
Results: The TD value of one kind of pasta (Sww1+ SBG) was significantly less than casein (P< 0.001) and Humana (P< 0.01). FER value of the first pasta diet (Sww1 + SBG) was significantly less than casein (P<0.01) and Humana (P< 0.05) and its PER value was significantly less than Humana (P<0.01) and casein (P<0.001). There were no significant differences in TD and FER values between the pasta diet (Sww1 + SBG) and Humana group (P>0.05), but its PER was significantly less than Humana (P<0.05).
Conclusions: Our findings showed that the second kind of homemade food (Sww2 + SBG), consisting of a ratio of 50 percent soy bean protein-granulate and 50 percent pasta based on wheat flour protein, has high protein quality and is similar to commercial weaning food. It can support the growth of infants in developing countries during the critical weaning period.
Key words: Protein quality; Pasta; Soy bean; Commercial weaning food
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Volume 12, Issue 4, October-December 2020
The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here
The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.
The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:
TDR Clinical Research and Development Fellowships
Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:
Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).
About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: