Technological prediction of protein and fat in black soldier fly larvae

Frank Ssemakula; Andrew  Kabuye; Ssepuuya  Geoffrey; Roseline Akol; Cosmas Mwikirize; Catherine  Nkirote Kunyanga; Rawlynce  Cheruiyot Bett; Dorothy  Nakimbugwe; Andrew Katumba; Grum Gebreyesus

Technological prediction of protein and fat in black soldier fly larvae

Frank Ssemakula, Andrew Kabuye, Ssepuuya Geoffrey, Roseline Akol, Cosmas Mwikirize, Catherine Nkirote Kunyanga , Rawlynce Cheruiyot Bett , Dorothy Nakimbugwe, Andrew Katumba, Grum Gebreyesus

Center for Quantitative Genetics and Genomics

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

Abstract

The black soldier fly larvae (BSF: Hermetia illucens) has gained considerable attention as a
sustainable alternative protein and fat source for animal feeds, attributed to their high levels
of protein and fat. In this work we propose the use of FTIR spectroscopy and chemometric
methods to predict the protein and fat content in BSF. Chemometric method is for providing
the ground truth which can be extended to other technologies such as computer vision.
FTIR provides quick, simple and non-destructive chemical nutritional composition analysis.
Chemometric analysis is commonly used as a benchmark to compare results with other
methods and has become the primary method for estimating protein and fat content due
to its high precision, outstanding consistency, and universality. The experiment involves
rearing BSF half-sibling families on different substrates, analyzing larvae protein and fat using
FTIR, and chemometric methods. This research will examine the effect of substrate type and
genetic distribution on the nutritional quality of BSF larvae, providing important information for
improving rearing techniques using new emerging technology.

Original language	English
Publication date	2024
Publication status	Published - 2024
Event	Insects for the Green Economy: Sustainable Food Systems and Livelihoods in Africa - The African Institute for Capacity Development (AICAD) at Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya Duration: 28 Feb 2024 → 29 Feb 2024

Conference

Conference	Insects for the Green Economy: Sustainable Food Systems and Livelihoods in Africa
Location	The African Institute for Capacity Development (AICAD) at Jomo Kenyatta University of Agriculture and Technology (JKUAT)
Country/Territory	Kenya
City	Nairobi
Period	28/02/2024 → 29/02/2024

Access to Document

https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdfLicence: Unspecified

Sustainable and efficient insect production for livestock feed through selective breeding (FLYgene)
Sahana, G. (PI), Gebreyesus, G. (CoPI), Nielsen, H. M. (Project manager), Hansen, L. S. (Project manager), Lund, M. S. (Participant), Bjerge, K. (Participant), Karstoft, H. (Participant), Roos, N. (Participant) & Geissmann, Q. (Participant)
01/01/2022 → 31/12/2026
Project: Research

Cite this

Ssemakula, F., Kabuye, A., Geoffrey, S., Akol, R., Mwikirize, C., Nkirote Kunyanga , C., Cheruiyot Bett , R., Nakimbugwe, D., Katumba, A., & Gebreyesus, G. (2024). Technological prediction of protein and fat in black soldier fly larvae. Abstract from Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya. https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf

@conference{3cd6079ad20648eab68182a7310f9162,

title = "Technological prediction of protein and fat in black soldier fly larvae",

abstract = "The black soldier fly larvae (BSF: Hermetia illucens) has gained considerable attention as asustainable alternative protein and fat source for animal feeds, attributed to their high levelsof protein and fat. In this work we propose the use of FTIR spectroscopy and chemometricmethods to predict the protein and fat content in BSF. Chemometric method is for providingthe ground truth which can be extended to other technologies such as computer vision.FTIR provides quick, simple and non-destructive chemical nutritional composition analysis.Chemometric analysis is commonly used as a benchmark to compare results with othermethods and has become the primary method for estimating protein and fat content dueto its high precision, outstanding consistency, and universality. The experiment involvesrearing BSF half-sibling families on different substrates, analyzing larvae protein and fat usingFTIR, and chemometric methods. This research will examine the effect of substrate type andgenetic distribution on the nutritional quality of BSF larvae, providing important information forimproving rearing techniques using new emerging technology.",

author = "Frank Ssemakula and Andrew Kabuye and Ssepuuya Geoffrey and Roseline Akol and Cosmas Mwikirize and {Nkirote Kunyanga}, Catherine and {Cheruiyot Bett}, Rawlynce and Dorothy Nakimbugwe and Andrew Katumba and Grum Gebreyesus",

year = "2024",

language = "English",

note = "Insects for the Green Economy: Sustainable Food<br/>Systems and Livelihoods in Africa ; Conference date: 28-02-2024 Through 29-02-2024",

}

Ssemakula, F, Kabuye, A, Geoffrey, S, Akol, R, Mwikirize, C, Nkirote Kunyanga , C, Cheruiyot Bett , R, Nakimbugwe, D, Katumba, A & Gebreyesus, G 2024, 'Technological prediction of protein and fat in black soldier fly larvae', Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya, 28/02/2024 - 29/02/2024. <https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf>

TY - ABST

T1 - Technological prediction of protein and fat in black soldier fly larvae

AU - Ssemakula, Frank

AU - Kabuye, Andrew

AU - Geoffrey, Ssepuuya

AU - Akol, Roseline

AU - Mwikirize, Cosmas

AU - Nkirote Kunyanga , Catherine

AU - Cheruiyot Bett , Rawlynce

AU - Nakimbugwe, Dorothy

AU - Katumba, Andrew

AU - Gebreyesus, Grum

PY - 2024

Y1 - 2024

N2 - The black soldier fly larvae (BSF: Hermetia illucens) has gained considerable attention as asustainable alternative protein and fat source for animal feeds, attributed to their high levelsof protein and fat. In this work we propose the use of FTIR spectroscopy and chemometricmethods to predict the protein and fat content in BSF. Chemometric method is for providingthe ground truth which can be extended to other technologies such as computer vision.FTIR provides quick, simple and non-destructive chemical nutritional composition analysis.Chemometric analysis is commonly used as a benchmark to compare results with othermethods and has become the primary method for estimating protein and fat content dueto its high precision, outstanding consistency, and universality. The experiment involvesrearing BSF half-sibling families on different substrates, analyzing larvae protein and fat usingFTIR, and chemometric methods. This research will examine the effect of substrate type andgenetic distribution on the nutritional quality of BSF larvae, providing important information forimproving rearing techniques using new emerging technology.

AB - The black soldier fly larvae (BSF: Hermetia illucens) has gained considerable attention as asustainable alternative protein and fat source for animal feeds, attributed to their high levelsof protein and fat. In this work we propose the use of FTIR spectroscopy and chemometricmethods to predict the protein and fat content in BSF. Chemometric method is for providingthe ground truth which can be extended to other technologies such as computer vision.FTIR provides quick, simple and non-destructive chemical nutritional composition analysis.Chemometric analysis is commonly used as a benchmark to compare results with othermethods and has become the primary method for estimating protein and fat content dueto its high precision, outstanding consistency, and universality. The experiment involvesrearing BSF half-sibling families on different substrates, analyzing larvae protein and fat usingFTIR, and chemometric methods. This research will examine the effect of substrate type andgenetic distribution on the nutritional quality of BSF larvae, providing important information forimproving rearing techniques using new emerging technology.

M3 - Conference abstract for conference

T2 - Insects for the Green Economy: Sustainable Food<br/>Systems and Livelihoods in Africa

Y2 - 28 February 2024 through 29 February 2024

ER -

Technological prediction of protein and fat in black soldier fly larvae

Abstract

Conference

Access to Document

Fingerprint

Projects

Sustainable and efficient insect production for livestock feed through selective breeding (FLYgene)

Cite this