Formulation, Optimization and Characterization of Dietary Cookies from Blends of Corn, Peanut, Sweet Potato and Soybean

Samuel Tunde Olorunsogo; Alexander Inalegwu Ochohi

doi:doi:10.11648/j.ijfet.20230701.14

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Formulation, Optimization and Characterization of Dietary Cookies from Blends of Corn, Peanut, Sweet Potato and Soybean

Samuel Tunde Olorunsogo, Alexander Inalegwu Ochohi

Published in International Journal of Food Engineering and Technology (Volume 7, Issue 1)

Received: 23 March 2023 Accepted: 12 April 2023 Published: 10 May 2023

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Abstract

Traditionally wheat is used for cookies production but the harsh climatic conditions in the tropical regions is not conducive for the growth of wheat. There are locally grown crops that can be used to produce high quality cookies that meet consumer’s dietary requirements. The aim of this study was to develop, characterize, and optimize the formulation and some production processes of dietary cookies from blends of corn, peanut, sweet potato and soybean. A four-component, constrained, randomized, combined, D-optimal mixture-process experimental design; with 34 randomized experimental runs, was employed. The formulation design constraints were: roasted corn flour (20% - 70%), defatted peanut meal (10% - 30%), blanched soybean (10% - 30%), and sweet potato extract/gel (5% - 20%). The four major components comprise 95% of the total mixture. Other minor components of the formulation, which were kept constant throughout the experimentation, were: sugar (1 %), baking powder (0.8 %), baking fat (0.2 %), and water (3 %). The processing parameters investigated were: baking temperature (120°C - 180°C) and baking time (10min – 25min). The formulated dietary cookies were analyzed and evaluated for the proximate properties, physicochemical properties and sensory characteristics using standard procedures. The result of the dietary cookies optimization gave optimal formulated dietary cookie with overall desirability index of 0.531, based on the set optimization goals and individual quality desirability indices. The optimal cookie was obtained from 22.744% roasted corn, 26.589% defatted peanut, 25.666% blanched soybean, 20.0% sweet potato extract/gel, 1380C baking temperature, and 25 minutes baking time. The quality properties of this optimal cookies are 14.071% moisture content, 25.699% crude protein, 4.957% crude fibre, 16.033% fat content, 34.388% carbohydrate, 7.234% ash content, 386.440 Kcal/100g energy value, 381.514 mg/100g potassium, 80.0 mg/100g calcium, 3.789 mg/100g iron, 0.552 mg/100g zinc, 75.088% digestibility, 20.566 D/T spread ratio, 0.657 g/cubic cm bulk density, 1.695g breaking strength, and overall acceptability of 5.96, based on 9-point hedonic scale. The result of the study showed that the formulated dietary cookies was of high quality and that improving nutritional quality of cookies is possible through composite formulation. It is recommended that further study be carried out on formulation of nutritionally improved dietary cookies using other nutritionally rich roots and legumes. Enrichment of cookies with these protein-rich sources will result in cookies with improved nutrient quality that meets the consumer’s dietary needs.

Published in	International Journal of Food Engineering and Technology (Volume 7, Issue 1)
DOI	10.11648/j.ijfet.20230701.14
Page(s)	44-67
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Dietary Cookies, Composite Flours, Formulation, Characterization, Optimization

References

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Samuel Tunde Olorunsogo, Alexander Inalegwu Ochohi. (2023). Formulation, Optimization and Characterization of Dietary Cookies from Blends of Corn, Peanut, Sweet Potato and Soybean. International Journal of Food Engineering and Technology, 7(1), 44-67. https://doi.org/10.11648/j.ijfet.20230701.14

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ACS Style

Samuel Tunde Olorunsogo; Alexander Inalegwu Ochohi. Formulation, Optimization and Characterization of Dietary Cookies from Blends of Corn, Peanut, Sweet Potato and Soybean. Int. J. Food Eng. Technol. 2023, 7(1), 44-67. doi: 10.11648/j.ijfet.20230701.14

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AMA Style

Samuel Tunde Olorunsogo, Alexander Inalegwu Ochohi. Formulation, Optimization and Characterization of Dietary Cookies from Blends of Corn, Peanut, Sweet Potato and Soybean. Int J Food Eng Technol. 2023;7(1):44-67. doi: 10.11648/j.ijfet.20230701.14

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@article{10.11648/j.ijfet.20230701.14,
  author = {Samuel Tunde Olorunsogo and Alexander Inalegwu Ochohi},
  title = {Formulation, Optimization and Characterization of Dietary Cookies from Blends of Corn, Peanut, Sweet Potato and Soybean},
  journal = {International Journal of Food Engineering and Technology},
  volume = {7},
  number = {1},
  pages = {44-67},
  doi = {10.11648/j.ijfet.20230701.14},
  url = {https://doi.org/10.11648/j.ijfet.20230701.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijfet.20230701.14},
  abstract = {Traditionally wheat is used for cookies production but the harsh climatic conditions in the tropical regions is not conducive for the growth of wheat. There are locally grown crops that can be used to produce high quality cookies that meet consumer’s dietary requirements. The aim of this study was to develop, characterize, and optimize the formulation and some production processes of dietary cookies from blends of corn, peanut, sweet potato and soybean. A four-component, constrained, randomized, combined, D-optimal mixture-process experimental design; with 34 randomized experimental runs, was employed. The formulation design constraints were: roasted corn flour (20% - 70%), defatted peanut meal (10% - 30%), blanched soybean (10% - 30%), and sweet potato extract/gel (5% - 20%). The four major components comprise 95% of the total mixture. Other minor components of the formulation, which were kept constant throughout the experimentation, were: sugar (1 %), baking powder (0.8 %), baking fat (0.2 %), and water (3 %). The processing parameters investigated were: baking temperature (120°C - 180°C) and baking time (10min – 25min). The formulated dietary cookies were analyzed and evaluated for the proximate properties, physicochemical properties and sensory characteristics using standard procedures. The result of the dietary cookies optimization gave optimal formulated dietary cookie with overall desirability index of 0.531, based on the set optimization goals and individual quality desirability indices. The optimal cookie was obtained from 22.744% roasted corn, 26.589% defatted peanut, 25.666% blanched soybean, 20.0% sweet potato extract/gel, 1380C baking temperature, and 25 minutes baking time. The quality properties of this optimal cookies are 14.071% moisture content, 25.699% crude protein, 4.957% crude fibre, 16.033% fat content, 34.388% carbohydrate, 7.234% ash content, 386.440 Kcal/100g energy value, 381.514 mg/100g potassium, 80.0 mg/100g calcium, 3.789 mg/100g iron, 0.552 mg/100g zinc, 75.088% digestibility, 20.566 D/T spread ratio, 0.657 g/cubic cm bulk density, 1.695g breaking strength, and overall acceptability of 5.96, based on 9-point hedonic scale. The result of the study showed that the formulated dietary cookies was of high quality and that improving nutritional quality of cookies is possible through composite formulation. It is recommended that further study be carried out on formulation of nutritionally improved dietary cookies using other nutritionally rich roots and legumes. Enrichment of cookies with these protein-rich sources will result in cookies with improved nutrient quality that meets the consumer’s dietary needs.},
 year = {2023}
}

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TY  - JOUR
T1  - Formulation, Optimization and Characterization of Dietary Cookies from Blends of Corn, Peanut, Sweet Potato and Soybean
AU  - Samuel Tunde Olorunsogo
AU  - Alexander Inalegwu Ochohi
Y1  - 2023/05/10
PY  - 2023
N1  - https://doi.org/10.11648/j.ijfet.20230701.14
DO  - 10.11648/j.ijfet.20230701.14
T2  - International Journal of Food Engineering and Technology
JF  - International Journal of Food Engineering and Technology
JO  - International Journal of Food Engineering and Technology
SP  - 44
EP  - 67
PB  - Science Publishing Group
SN  - 2640-1584
UR  - https://doi.org/10.11648/j.ijfet.20230701.14
AB  - Traditionally wheat is used for cookies production but the harsh climatic conditions in the tropical regions is not conducive for the growth of wheat. There are locally grown crops that can be used to produce high quality cookies that meet consumer’s dietary requirements. The aim of this study was to develop, characterize, and optimize the formulation and some production processes of dietary cookies from blends of corn, peanut, sweet potato and soybean. A four-component, constrained, randomized, combined, D-optimal mixture-process experimental design; with 34 randomized experimental runs, was employed. The formulation design constraints were: roasted corn flour (20% - 70%), defatted peanut meal (10% - 30%), blanched soybean (10% - 30%), and sweet potato extract/gel (5% - 20%). The four major components comprise 95% of the total mixture. Other minor components of the formulation, which were kept constant throughout the experimentation, were: sugar (1 %), baking powder (0.8 %), baking fat (0.2 %), and water (3 %). The processing parameters investigated were: baking temperature (120°C - 180°C) and baking time (10min – 25min). The formulated dietary cookies were analyzed and evaluated for the proximate properties, physicochemical properties and sensory characteristics using standard procedures. The result of the dietary cookies optimization gave optimal formulated dietary cookie with overall desirability index of 0.531, based on the set optimization goals and individual quality desirability indices. The optimal cookie was obtained from 22.744% roasted corn, 26.589% defatted peanut, 25.666% blanched soybean, 20.0% sweet potato extract/gel, 1380C baking temperature, and 25 minutes baking time. The quality properties of this optimal cookies are 14.071% moisture content, 25.699% crude protein, 4.957% crude fibre, 16.033% fat content, 34.388% carbohydrate, 7.234% ash content, 386.440 Kcal/100g energy value, 381.514 mg/100g potassium, 80.0 mg/100g calcium, 3.789 mg/100g iron, 0.552 mg/100g zinc, 75.088% digestibility, 20.566 D/T spread ratio, 0.657 g/cubic cm bulk density, 1.695g breaking strength, and overall acceptability of 5.96, based on 9-point hedonic scale. The result of the study showed that the formulated dietary cookies was of high quality and that improving nutritional quality of cookies is possible through composite formulation. It is recommended that further study be carried out on formulation of nutritionally improved dietary cookies using other nutritionally rich roots and legumes. Enrichment of cookies with these protein-rich sources will result in cookies with improved nutrient quality that meets the consumer’s dietary needs.
VL  - 7
IS  - 1
ER  -

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Author Information

Samuel Tunde Olorunsogo

Department of Agricultural and Bioresources Engineering, School of Infrastructure, Process Engineering and Technology, Federal University of Technology, Minna, Nigeria
Alexander Inalegwu Ochohi

Department of Agricultural and Bioresources Engineering, School of Infrastructure, Process Engineering and Technology, Federal University of Technology, Minna, Nigeria

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APA Style

Samuel Tunde Olorunsogo, Alexander Inalegwu Ochohi. (2023). Formulation, Optimization and Characterization of Dietary Cookies from Blends of Corn, Peanut, Sweet Potato and Soybean. International Journal of Food Engineering and Technology, 7(1), 44-67. https://doi.org/10.11648/j.ijfet.20230701.14

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ACS Style

Samuel Tunde Olorunsogo; Alexander Inalegwu Ochohi. Formulation, Optimization and Characterization of Dietary Cookies from Blends of Corn, Peanut, Sweet Potato and Soybean. Int. J. Food Eng. Technol. 2023, 7(1), 44-67. doi: 10.11648/j.ijfet.20230701.14

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AMA Style

Samuel Tunde Olorunsogo, Alexander Inalegwu Ochohi. Formulation, Optimization and Characterization of Dietary Cookies from Blends of Corn, Peanut, Sweet Potato and Soybean. Int J Food Eng Technol. 2023;7(1):44-67. doi: 10.11648/j.ijfet.20230701.14

Copy | Download

@article{10.11648/j.ijfet.20230701.14,
  author = {Samuel Tunde Olorunsogo and Alexander Inalegwu Ochohi},
  title = {Formulation, Optimization and Characterization of Dietary Cookies from Blends of Corn, Peanut, Sweet Potato and Soybean},
  journal = {International Journal of Food Engineering and Technology},
  volume = {7},
  number = {1},
  pages = {44-67},
  doi = {10.11648/j.ijfet.20230701.14},
  url = {https://doi.org/10.11648/j.ijfet.20230701.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijfet.20230701.14},
  abstract = {Traditionally wheat is used for cookies production but the harsh climatic conditions in the tropical regions is not conducive for the growth of wheat. There are locally grown crops that can be used to produce high quality cookies that meet consumer’s dietary requirements. The aim of this study was to develop, characterize, and optimize the formulation and some production processes of dietary cookies from blends of corn, peanut, sweet potato and soybean. A four-component, constrained, randomized, combined, D-optimal mixture-process experimental design; with 34 randomized experimental runs, was employed. The formulation design constraints were: roasted corn flour (20% - 70%), defatted peanut meal (10% - 30%), blanched soybean (10% - 30%), and sweet potato extract/gel (5% - 20%). The four major components comprise 95% of the total mixture. Other minor components of the formulation, which were kept constant throughout the experimentation, were: sugar (1 %), baking powder (0.8 %), baking fat (0.2 %), and water (3 %). The processing parameters investigated were: baking temperature (120°C - 180°C) and baking time (10min – 25min). The formulated dietary cookies were analyzed and evaluated for the proximate properties, physicochemical properties and sensory characteristics using standard procedures. The result of the dietary cookies optimization gave optimal formulated dietary cookie with overall desirability index of 0.531, based on the set optimization goals and individual quality desirability indices. The optimal cookie was obtained from 22.744% roasted corn, 26.589% defatted peanut, 25.666% blanched soybean, 20.0% sweet potato extract/gel, 1380C baking temperature, and 25 minutes baking time. The quality properties of this optimal cookies are 14.071% moisture content, 25.699% crude protein, 4.957% crude fibre, 16.033% fat content, 34.388% carbohydrate, 7.234% ash content, 386.440 Kcal/100g energy value, 381.514 mg/100g potassium, 80.0 mg/100g calcium, 3.789 mg/100g iron, 0.552 mg/100g zinc, 75.088% digestibility, 20.566 D/T spread ratio, 0.657 g/cubic cm bulk density, 1.695g breaking strength, and overall acceptability of 5.96, based on 9-point hedonic scale. The result of the study showed that the formulated dietary cookies was of high quality and that improving nutritional quality of cookies is possible through composite formulation. It is recommended that further study be carried out on formulation of nutritionally improved dietary cookies using other nutritionally rich roots and legumes. Enrichment of cookies with these protein-rich sources will result in cookies with improved nutrient quality that meets the consumer’s dietary needs.},
 year = {2023}
}

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TY  - JOUR
T1  - Formulation, Optimization and Characterization of Dietary Cookies from Blends of Corn, Peanut, Sweet Potato and Soybean
AU  - Samuel Tunde Olorunsogo
AU  - Alexander Inalegwu Ochohi
Y1  - 2023/05/10
PY  - 2023
N1  - https://doi.org/10.11648/j.ijfet.20230701.14
DO  - 10.11648/j.ijfet.20230701.14
T2  - International Journal of Food Engineering and Technology
JF  - International Journal of Food Engineering and Technology
JO  - International Journal of Food Engineering and Technology
SP  - 44
EP  - 67
PB  - Science Publishing Group
SN  - 2640-1584
UR  - https://doi.org/10.11648/j.ijfet.20230701.14
AB  - Traditionally wheat is used for cookies production but the harsh climatic conditions in the tropical regions is not conducive for the growth of wheat. There are locally grown crops that can be used to produce high quality cookies that meet consumer’s dietary requirements. The aim of this study was to develop, characterize, and optimize the formulation and some production processes of dietary cookies from blends of corn, peanut, sweet potato and soybean. A four-component, constrained, randomized, combined, D-optimal mixture-process experimental design; with 34 randomized experimental runs, was employed. The formulation design constraints were: roasted corn flour (20% - 70%), defatted peanut meal (10% - 30%), blanched soybean (10% - 30%), and sweet potato extract/gel (5% - 20%). The four major components comprise 95% of the total mixture. Other minor components of the formulation, which were kept constant throughout the experimentation, were: sugar (1 %), baking powder (0.8 %), baking fat (0.2 %), and water (3 %). The processing parameters investigated were: baking temperature (120°C - 180°C) and baking time (10min – 25min). The formulated dietary cookies were analyzed and evaluated for the proximate properties, physicochemical properties and sensory characteristics using standard procedures. The result of the dietary cookies optimization gave optimal formulated dietary cookie with overall desirability index of 0.531, based on the set optimization goals and individual quality desirability indices. The optimal cookie was obtained from 22.744% roasted corn, 26.589% defatted peanut, 25.666% blanched soybean, 20.0% sweet potato extract/gel, 1380C baking temperature, and 25 minutes baking time. The quality properties of this optimal cookies are 14.071% moisture content, 25.699% crude protein, 4.957% crude fibre, 16.033% fat content, 34.388% carbohydrate, 7.234% ash content, 386.440 Kcal/100g energy value, 381.514 mg/100g potassium, 80.0 mg/100g calcium, 3.789 mg/100g iron, 0.552 mg/100g zinc, 75.088% digestibility, 20.566 D/T spread ratio, 0.657 g/cubic cm bulk density, 1.695g breaking strength, and overall acceptability of 5.96, based on 9-point hedonic scale. The result of the study showed that the formulated dietary cookies was of high quality and that improving nutritional quality of cookies is possible through composite formulation. It is recommended that further study be carried out on formulation of nutritionally improved dietary cookies using other nutritionally rich roots and legumes. Enrichment of cookies with these protein-rich sources will result in cookies with improved nutrient quality that meets the consumer’s dietary needs.
VL  - 7
IS  - 1
ER  -

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