Prediction of protein and lipid content in black soldier fly (Hermetia illucens L.) larvae flour using portable NIR spectrometers and chemometrics

Author(s)

Cruz-Tirado, J. P. ; Vieira, Matheus Silva dos Santos ; Amigo, Jose Manuel ; Siche, Raul ; Barbin, Douglas Fernandes

• Document type: Journal article
• Source: FOOD CONTROL; v. 153, p. 12-pg., 2023-11-01.

Abstract

Black soldier fly (BSF) larvae meet circular economy requirements by transforming waste into high-quality protein and lipids. Because of the rapid larva development to the mature stage (14 days - 2 months), the insect production industry seeks rapid analytical methods. We evaluated the performance of two portable NIR spectrometers (1: 900-1700 nm; 2: 1350-2562 nm), coupled to Partial Least Square Regression (PLSR) and Support Vector Machine Regression (SVMR) to predict protein and lipid content (%) in BSF larvae flour. The spectra dataset was explored by Principal Component Analysis (PCA). PLSR and SVMR performed similarly in predicting protein content for both spectrometers according to Residual Prediction Deviation (RPD >2.5) and Root Mean Square Error of Prediction (RMSEP = 1.9%). SVMR turned out to yield a better prediction performance for the lipidic content (RMSEP = 3.51%; RPD = 4.32) respect to PLSR. Moreover, spectrometer 2, working at a higher wavelength range, showed better performance than spectrometer 1. In addition, a variable selection step was performed, where interval PLS (iPLS) and genetic algorithm (GA) improved PLSR models. In conclusion, a portable NIR spectrometer coupled with chemometrics could support rapid analytical measurements in the insect industry. (AU)

• FAPESP's process: 14/50951-4 - INCT 2014: Advanced Analytical Technologies
• Grantee: Celio Pasquini
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 20/09198-1 - Hyperspectral imaging and artificial intelligence for quality control of protein-based products: isolates, microcapsules and gels
• Grantee: Luis Jam Pier Cruz Tirado
• Support Opportunities: Scholarships in Brazil - Doctorate
• FAPESP's process: 15/24351-2 - Applications of image analyses and NIR spectroscopy for quality assessment and authentication of food products
• Grantee: Douglas Fernandes Barbin
• Support Opportunities: Research Grants - Young Investigators Grants
• FAPESP's process: 08/57808-1 - National Institute of Advanced Analytical Science and Technology
• Grantee: Celio Pasquini
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 22/07725-0 - Development and validation of predictive models based on a portable spectrometer and NIR hyperspectral imaging and machine learning to predict the composition of black soldier fly larvae (Hermetia illucens)
• Grantee: Matheus Silva dos Santos Vieira
• Support Opportunities: Scholarships in Brazil - Scientific Initiation