Mid-infrared spectroscopy and machine learning as a complementary tool for sensory quality assessment of roasted cocoa-based products

Collazos-Escobar, Gentil A.; Barrios-Rodríguez, Yeison Fernando; Bahamón-Monje, Andrés F.; Gutiérrez-Guzmán, Nelson

doi:10.1016/j.infrared.2024.105482

Infrared Physics & Technology

2024

DOI: 10.1016/j.infrared.2024.105482

|View full text |Cite

Mid-infrared spectroscopy and machine learning as a complementary tool for sensory quality assessment of roasted cocoa-based products

Gentil A. Collazos-Escobar,

Yeison Fernando Barrios-Rodríguez,

Andrés F. Bahamón-Monje

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2025

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Mid-infrared spectra of dried and roasted cocoa (Theobroma cacao L.): A dataset for machine learning-based classification of cocoa varieties and prediction of theobromine and caffeine content

Collazos-Escobar,

Bahamón-Monje,

Gutiérrez-Guzmán

2025

Data in Brief

View full text Add to dashboard Cite

Mid-infrared spectra of dried and roasted cocoa (Theobroma cacao L.): A dataset for machine learning-based classification of cocoa varieties and prediction of theobromine and caffeine content

Collazos-Escobar,

Bahamón-Monje,

Gutiérrez-Guzmán

2025

Data in Brief

View full text Add to dashboard Cite

Adsorption isotherms in roasted specialty coffee (Coffea arabica L.): Dataset and statistical tools for optimizing storage conditions and enhancing shelf life

Collazos-Escobar,

Bahamón-Monje,

Gutiérrez-Guzmán

2025

Data in Brief

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Mid-infrared spectroscopy and machine learning as a complementary tool for sensory quality assessment of roasted cocoa-based products

Cited by 2 publications

References 42 publications

Mid-infrared spectra of dried and roasted cocoa (Theobroma cacao L.): A dataset for machine learning-based classification of cocoa varieties and prediction of theobromine and caffeine content

Mid-infrared spectra of dried and roasted cocoa (Theobroma cacao L.): A dataset for machine learning-based classification of cocoa varieties and prediction of theobromine and caffeine content

Adsorption isotherms in roasted specialty coffee (Coffea arabica L.): Dataset and statistical tools for optimizing storage conditions and enhancing shelf life

Contact Info

Product

Resources

About