Data analysis methods in studies of insects for food and feed

Sergiy Smetana; Carl Coudron; David Deruytter; Aditya Francis; Juan Jose Pascual; Thomas Klammsteiner; Noah Lemke; Christoph Sandrock; Raffaele Zanoli

Data analysis methods in studies of insects for food and feed

in BugBook

Autor:innen:

Sergiy Smetana

Sergiy Smetana German Institute of Food Technologies (DIL e.V.), Prof.-von-Klitzing-Strasse 7, 49610 Quakenbrück, Germany
Institute of Food Quality and Food Safety, University of Veterinary Medicine Hannover, Foundation, Bischofsholer Damm 15, 30173 Hannover, Germany

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Carl Coudron

Carl Coudron Inagro vzw, Ieperseweg 87, 8800 Rumbeke-Beitem, Belgium

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David Deruytter

David Deruytter Inagro vzw, Ieperseweg 87, 8800 Rumbeke-Beitem, Belgium

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Aditya Francis

Aditya Francis German Institute of Food Technologies (DIL e.V.), Prof.-von-Klitzing-Strasse 7, 49610 Quakenbrück, Germany

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Juan Jose Pascual

Juan Jose Pascual Escuela Técnica Superior de Ingenierı́a Agronómica y del Medio Natural, Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain

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Thomas Klammsteiner

Thomas Klammsteiner Department of Ecology, Universität Innsbruck, Technikerstrasse 25, 6020 Innsbruck, Austria

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Noah Lemke

Noah Lemke Department of Entomology, Texas A&M University, 2475 TAMU HEEP Center Suite 412, College Station, TX 77843-3258, USA

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Christoph Sandrock

Christoph Sandrock Department of Livestock Sciences, Research Institute of Organic Agriculture (FiBL), Ackerstrasse 113, 5070 Frick, Switzerland

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, und

Raffaele Zanoli

Raffaele Zanoli Department of Agricultural, Food and Environmental Sciences – D3A, Polytechnic University of Marche, 60131 Ancona, Italy

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Art:: Kapitel

Seiten:: 335–361

DOI:: https://doi.org/10.1163/9789004760790_015

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Abstract

In recent decades, research on insect production for food and feed has expanded significantly, driven by advances in farming, processing, genetics, and sustainability. Various data analysis methods, from traditional statistics to advanced machine learning, are used to optimise aspects of insect-based systems. In production, methods like analysis of variance (ANOVA) and regression analysis help improve breeding conditions and growth rates, while multivariate analyses support processing studies by evaluating nutritional and microbial safety. Genetic research leverages bioinformatics, genome-wide association studies (GWAS), and quantitative genetics to enhance traits like yield and disease resistance. Sustainability assessments use life cycle analysis (LCA) with Monte Carlo simulations to measure environmental impacts. Emerging tools, such as neural networks and support vector machines, are gaining traction for predicting feed conversion ratios and disease detection. Despite progress, a comprehensive guide that bridges classic and novel data analysis methods in insect research is still lacking. This study aims to address this gap by offering an accessible manual for researchers and professionals. It will consolidate methodologies across disciplines, highlighting foundational tools for beginners while showcasing advanced techniques for experts. Topics include the application of tailored methods like chitin and protein accounting, sensory analysis, consumer preference modelling, and data visualisation to improve stakeholder communication. By enhancing methodological rigor and fostering transparency, this guide will promote innovation, facilitate data interchange, and ensure the replicability of findings. Ultimately, it aims to drive sustainable advancements in the mass production of insects for food and feed.

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BugBook

Practical Guidelines and Research Methods on Insects for Food and Feed

Reihe: Series of Insects as Food and Feed

ISBN:: 9789004760790

Verleger:: Wageningen Academic

Print-Publikationsdatum:: 12 Mar 2026

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- Biowissenschaften
  - Allgemein

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Data analysis methods in studies of insects for food and feed

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BugBook

Practical Guidelines and Research Methods on Insects for Food and Feed

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