Home / Agriculture and forestry / Nutrient composition functional and organoleptic properties of complementary foods from sorghum

Nutrient composition functional and organoleptic properties of complementary foods from sorghum

 

Table Of Contents


Thesis Abstract

Complementary foods were formulated using sorghum, African yam bean and crayfish. The nutrient composition, functional properties and organoleptic attributes of the formulated complementary foods were investigated. The different flours were combined in the ratios of; 70205, 80155, 75205, of sorghum, African yam bean and crayfish respectively. Cerelac, a commercial sample served as control. Porridges were prepared from the composite blends for organoleptic evaluation. Standard methods were used to analyze the composite flours. The protein content of African yam bean and crayfish flours complemented the sorghum protein and improved the nutritional quality of the formulated food. The result of the functional properties showed no significant difference (P > 0.05) in both bulk density and viscosity. Sensory evaluation revealed that the porridge from the control was preferred over the others. Among the blends, the porridge made from 70205 sorghum / African yam bean / crayfish was preferred over the others. The study showed that composite blends from sorghum, African yam bean and crayfish are nutritionally adequate and possess good functional properties which are required for the preparation of complementary foods for infants.

Thesis Overview

INTRODUCTION

In developing countries like Nigeria, complementary foods are mainly based on starch tubers like cocoyam, sweet potato or on cereals like maize, millet and sorghum. Children are normally given these staples in the form of gruels that is either mixed with boiled water (Igyor et al., 2011).

Sorghum is an important food crop grown on a subsistence level by farmers in the semi arid tropics of Africa and Asia. It is the principal food crop grown in Northern Nigeria (Zakari and Inyang, 2008). Sorghum like other cereals is predominantly starchy and remains a principal source of energy, protein, vitamins and minerals. Sorghum grows in harsh environments where other crops do not grow well, just like other staple foods, such as cassava, that are common in impoverished regions of the world. It is usually grown without application of any fertilizers or other inputs by a multitude of small _holder farmers in many countries FAO (1999).

African yam bean (Sphenostylis stenocarpa) is an underutilized legume crop that is predominantly cultivated in Western Africa. It produces nutritious pods, highly portentous seeds and capable of growth in marginal areas where other pulses fail to thrive (Enwere, 1998). It has the potential to meet the ever increasing protein demands of the people in this region.

Crayfish, also known as crawfish, freshwater lobsters, to which they are related; taxonomically, they are members of the super families Astacoidea and parastacoidea (Hart 1994). The greatest diversity of crayfish species is found in Southeastern North America, with over 330 species in nine genera, all in the family Cambraridae (Tennessee Aquatic Nuisance 2007). A further genus of astacid crayfish is found in the Pacific Northwest and the headwaters of some rivers east of the continental Divide. Many crayfish are found in lowland areas where the water is abundant in calcium, and oxygen rises from underground springs (Thompson et al.,2007).

Since many African mothers use gruels made from sorghum as complementary foods, for their infants, due to their inability to afford the cost of nutritional superior commercial meaning foods, this work was conducted to evaluate the nutrient composition, functional and organoleptic properties of complementary foods from sorghum, roasted African yam bean and crayfish locally formulated into flour blends.

AIM AND OBJECTIVE

To determine the nutrient composition, functional and organoleptic properties of complementary foods from sorghum, roasted African yam bean and crayfish.


Blazingprojects Mobile App

📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery

Blazingprojects App

Related Research

Agriculture and fore. 3 min read

Utilizing Internet of Things (IoT) Technology for Precision Agriculture in Forestry ...

The project titled "Utilizing Internet of Things (IoT) Technology for Precision Agriculture in Forestry Management" aims to explore the application of...

BP
Blazingprojects
Read more →
Agriculture and fore. 3 min read

Implementation of Precision Agriculture Techniques for Enhanced Crop Yield and Resou...

The project titled "Implementation of Precision Agriculture Techniques for Enhanced Crop Yield and Resource Management in Forestry Plantations" aims t...

BP
Blazingprojects
Read more →
Agriculture and fore. 4 min read

Automation of Crop Monitoring and Management Using IoT Technology in Agriculture...

The project titled "Automation of Crop Monitoring and Management Using IoT Technology in Agriculture" aims to revolutionize the agricultural sector by...

BP
Blazingprojects
Read more →
Agriculture and fore. 4 min read

Utilizing Artificial Intelligence for Precision Agriculture in Forestry Management...

The project titled "Utilizing Artificial Intelligence for Precision Agriculture in Forestry Management" aims to explore the integration of cutting-edg...

BP
Blazingprojects
Read more →
Agriculture and fore. 2 min read

Utilizing Internet of Things (IoT) technology for precision agriculture in optimizin...

The research project titled "Utilizing Internet of Things (IoT) technology for precision agriculture in optimizing crop production and resource management&...

BP
Blazingprojects
Read more →
Agriculture and fore. 2 min read

Utilizing Machine Learning for Predicting Crop Yields and Pest Outbreaks in Agricult...

The project titled "Utilizing Machine Learning for Predicting Crop Yields and Pest Outbreaks in Agricultural Fields" aims to leverage advanced machine...

BP
Blazingprojects
Read more →
Agriculture and fore. 3 min read

Utilizing Machine Learning Algorithms for Improved Crop Yield Prediction in Agricult...

The project titled "Utilizing Machine Learning Algorithms for Improved Crop Yield Prediction in Agricultural Farms" aims to leverage advanced machine ...

BP
Blazingprojects
Read more →
Agriculture and fore. 4 min read

Utilizing Artificial Intelligence for Precision Agriculture in Forestry Management...

The project titled "Utilizing Artificial Intelligence for Precision Agriculture in Forestry Management" aims to explore the integration of artificial ...

BP
Blazingprojects
Read more →
Agriculture and fore. 4 min read

Implementation of Precision Agriculture Techniques for Improved Crop Yield and Resou...

The project titled "Implementation of Precision Agriculture Techniques for Improved Crop Yield and Resource Management in Forestry Plantations" aims t...

BP
Blazingprojects
Read more →
WhatsApp Click here to chat with us