IR spectra and chemical composition of edible insects: intact larvae, flour and oil (pure and adulterated)

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Cruz-Tirado, Luis Jam Pier; Barbin, Douglas Fernandes, 2026, "IR spectra and chemical composition of edible insects: intact larvae, flour and oil (pure and adulterated)", https://doi.org/10.25824/redu/ZJN5FI, Repositório de Dados de Pesquisa da Unicamp , V1, UNF:6:S0N8TEWb3M0HQ6tjsAqHGQ== [fileUNF]

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Description	This dataset is associated with the thesis titled "Near Infrared Spectroscopy and Hyperspectral Imaging and Chemometrics for Quality Control in the Insect Industry." The five Excel files contain IR spectra of edible insects, including black soldier fly larvae, buffalo worm, mealworm, and cricket. Spectra obtained from FTIR, NIRS, and NIR-hyperspectral imaging devices are included. The spectra also come from samples of intact larvae, larvae or insect powder, and insect oil. In addition, the protein, lipid, and fatty acid compositions obtained from the black soldier fly larvae samples are included. Each file included in this dataset is described below: 1) Dataset 1: collects NIR and FTIR spectra of buffalo worm, mealworm, and cricket. The spectra represent pure insect powder samples and adulterated with corn, wheat, and soybean powder. The adulterant concentrations in each sample are included. 2) Dataset 2: collects NIR and FTIR spectra of black soldier fly larvae oil. The spectra represent pure insect oil samples and samples adulterated with canola, sunflower, corn, palm olein, and soybean oil. The adulterant concentrations in each sample are included. 3) Dataset 3: collects NIR spectra of black soldier fly larvae powder samples obtained using two portable spectrometers. The protein and total lipid concentrations are included for each sample. 4) Dataset 4: collects NIR spectra of intact black soldier fly larvae samples obtained using an NIR-hyperspectral imaging system. The protein concentrations are included for each sample. 5) Dataset 5: collects NIR spectra of intact black soldier fly larvae samples obtained using an NIR-hyperspectral imaging system. The lipid and fatty acid concentrations are included for each sample.
Subject	Agricultural Sciences; Chemistry; Engineering
Keyword	Chemometrics, Food safety, Food control, Edible insect, Machine learning
Related Publication	Cruz-Tirado, J. P., Haughey, S. A., Elliott, C. T., & Barbin, D. (2025). Portable NIR spectrometer and FTIR and soft modelling to authenticate edible cricket, mealworm and buffalo worm flour. Food Control, 111567. doi: 10.1016/j.foodcont.2025.111567
License/Data Use Agreement	CC BY-NC 4.0

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	1 to 5 of 5 Files	Original Format Archival Format (.tab)
	Dataset 1 - Spectroscopy data to predict adulteration in Edible insects.tab Tabular Data - 1001.5 KB Published Mar 5, 2026 6 Downloads 230 Variables, 304 Observations UNF:6:YNiu4mE7adI4ex9PdfCJGA== Dataset 1: collects NIR and FTIR spectra of buffalo worm, mealworm, and cricket. The spectra represent pure insect powder samples and adulterated with corn, wheat, and soybean powder. The adulterant concentrations in each sample are included.	Access File File Access Public Download Options MS Excel Spreadsheet (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX
	Dataset 2 - Spectroscopy data to predict adulteration in black soldier fly larvae oil.tab Tabular Data - 883.6 KB Published Mar 5, 2026 3 Downloads 230 Variables, 306 Observations UNF:6:yrACTKOd7j/+mqp1BJlKrQ== Dataset 2: collects NIR and FTIR spectra of black soldier fly larvae oil. The spectra represent pure insect oil samples and samples adulterated with canola, sunflower, corn, palm olein, and soybean oil. The adulterant concentrations in each sample are included.	Access File File Access Public Download Options MS Excel Spreadsheet (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX
	Dataset 3 - Prediction of portein and lipids in black soldier fly larvae flour.tab Tabular Data - 853.4 KB Published Mar 5, 2026 2 Downloads 231 Variables, 254 Observations UNF:6:mXhKqSrXdLMaOhUwJY3NKw== Dataset 3: collects NIR spectra of black soldier fly larvae powder samples obtained using two portable spectrometers. The protein and total lipid concentrations are included for each sample.	Access File File Access Public Download Options MS Excel Spreadsheet (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX
	Dataset 4 - Prediction of protein content in black solider fly larvae by HSI.tab Tabular Data - 1.7 MB Published Mar 5, 2026 3 Downloads 259 Variables, 382 Observations UNF:6:VGHifyOdK6Ht4iNiKknr4g== Dataset 4: collects NIR spectra of intact black soldier fly larvae samples obtained using an NIR-hyperspectral imaging system. The protein concentrations are included for each sample.	Access File File Access Public Download Options MS Excel Spreadsheet (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX
	Dataset 5 - Prediction of lipid and fatty acids in black soldier fly larvae by HSI.tab Tabular Data - 888.6 KB Published Mar 5, 2026 4 Downloads 265 Variables, 382 Observations UNF:6:ZVH7FY9oBJheJCqLhWcXtA== Dataset 5: collects NIR spectra of intact black soldier fly larvae samples obtained using an NIR-hyperspectral imaging system. The lipid and fatty acid concentrations are included for each sample.	Access File File Access Public Download Options MS Excel Spreadsheet (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.25824/redu/ZJN5FI
Publication Date	2026-03-05
Title	IR spectra and chemical composition of edible insects: intact larvae, flour and oil (pure and adulterated)
Author	Cruz-Tirado, Luis Jam Pier (Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia de Alimentos.) - ORCID: https://orcid.org/0000-0002-1963-4965 Barbin, Douglas Fernandes (Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia de Alimentos.) - ORCID: https://orcid.org/0000-0001-9767-8130
Point of Contact	Use email button above to contact. Barbin, Douglas Fernandes (Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia de Alimentos.)
Description	This dataset is associated with the thesis titled "Near Infrared Spectroscopy and Hyperspectral Imaging and Chemometrics for Quality Control in the Insect Industry." The five Excel files contain IR spectra of edible insects, including black soldier fly larvae, buffalo worm, mealworm, and cricket. Spectra obtained from FTIR, NIRS, and NIR-hyperspectral imaging devices are included. The spectra also come from samples of intact larvae, larvae or insect powder, and insect oil. In addition, the protein, lipid, and fatty acid compositions obtained from the black soldier fly larvae samples are included. Each file included in this dataset is described below: 1) Dataset 1: collects NIR and FTIR spectra of buffalo worm, mealworm, and cricket. The spectra represent pure insect powder samples and adulterated with corn, wheat, and soybean powder. The adulterant concentrations in each sample are included. 2) Dataset 2: collects NIR and FTIR spectra of black soldier fly larvae oil. The spectra represent pure insect oil samples and samples adulterated with canola, sunflower, corn, palm olein, and soybean oil. The adulterant concentrations in each sample are included. 3) Dataset 3: collects NIR spectra of black soldier fly larvae powder samples obtained using two portable spectrometers. The protein and total lipid concentrations are included for each sample. 4) Dataset 4: collects NIR spectra of intact black soldier fly larvae samples obtained using an NIR-hyperspectral imaging system. The protein concentrations are included for each sample. 5) Dataset 5: collects NIR spectra of intact black soldier fly larvae samples obtained using an NIR-hyperspectral imaging system. The lipid and fatty acid concentrations are included for each sample.
Subject	Agricultural Sciences; Chemistry; Engineering
Keyword	Chemometrics (DLC (LCSH)) Food safety Food control Edible insect Machine learning
Related Publication	Cruz-Tirado, J. P., Haughey, S. A., Elliott, C. T., & Barbin, D. (2025). Portable NIR spectrometer and FTIR and soft modelling to authenticate edible cricket, mealworm and buffalo worm flour. Food Control, 111567. doi: 10.1016/j.foodcont.2025.111567 https://www.sciencedirect.com/science/article/pii/S0956713525004360 Cruz-Tirado, J. P., dos Santos Vieira, M. S., Amigo, J. M., Siche, R., & Barbin, D. F. (2023). Prediction of protein and lipid content in black soldier fly (Hermetia illucens L.) larvae flour using portable NIR spectrometers and chemometrics. Food Control, 153, 109969. doi: 10.1016/j.foodcont.2023.109969 https://www.sciencedirect.com/science/article/pii/S0956713523003699 Cruz-Tirado, J. P., Amigo, J. M., & Barbin, D. F. (2023). Determination of protein content in single black fly soldier (Hermetia illucens L.) larvae by near infrared hyperspectral imaging (NIR-HSI) and chemometrics. Food Control, 143, 109266. doi: 10.1016/j.foodcont.2022.109266 https://www.sciencedirect.com/science/article/pii/S0956713522004595 Cruz-Tirado, J. P., dos Santos Vieira, M. S., Ferreira, R. S. B., Amigo, J. M., Batista, E. A. C., & Barbin, D. F. (2025). Prediction of total lipids and fatty acids in black soldier fly (Hermetia illucens L.) dried larvae by NIR-hyperspectral imaging and chemometrics. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 329, 125646. doi: 10.1016/j.saa.2024.125646 https://www.sciencedirect.com/science/article/pii/S1386142524018122?via%3Dihub
Funding Information	Fundação de Amparo à Pesquisa do Estado de São Paulo: FAPESP: 2020/09198-1 Fundação de Amparo à Pesquisa do Estado de São Paulo: FAPESP: 2023/11773-2
Depositor	Cruz-Tirado, Luis Jam Pier
Deposit Date	2025-07-21
Declarações obrigatórias sobre ética e privacidade	o projeto que gerou os dados foi aprovado pelo Comite de Ética em Pesquisa da Unicamp ou não envolve questões que requeiram tal aprovação; os dados que serão depositados estão de acordo com a LGPD (Lei Geral de Proteção de Dados)

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