Multivariate classification for the direct determination of cup profile in coffee blends via handheld near-infrared spectroscopy
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Multivariate classification for the direct determination of cup profile in coffee blends via handheld near-infrared spectroscopy
Authors
Keywords
Chemometrics, Cup quality, Infrared spectroscopy, Portable device, Industrial case study
Journal
TALANTA
Volume 222, Issue -, Pages 121526
Publisher
Elsevier BV
Online
2020-08-15
DOI
10.1016/j.talanta.2020.121526
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Characterization of green, roasted beans, and ground coffee using near infrared spectroscopy: A comparison of two devices
- (2019) Alessio Tugnolo et al. JOURNAL OF NEAR INFRARED SPECTROSCOPY
- Quality Control Parameters in the Roasted Coffee Industry: a Proposal by Using MicroNIR Spectroscopy and Multivariate Calibration
- (2019) Michel Rocha Baqueta et al. Food Analytical Methods
- Brazilian Coffee Blends: A Simple and Fast Method by Near‐Infrared Spectroscopy for the Determination of the Sensory Attributes Elicited in Professional Coffee Cupping
- (2019) Michel Rocha Baqueta et al. JOURNAL OF FOOD SCIENCE
- Quantitative assessment of specific defects in roasted ground coffee via infrared-photoacoustic spectroscopy
- (2018) Rafael Carlos Eloy Dias et al. FOOD CHEMISTRY
- Mid infrared spectroscopy and chemometrics as tools for the classification of roasted coffees by cup quality
- (2018) Ana Paula Craig et al. FOOD CHEMISTRY
- Common roasting defects in coffee: Aroma composition, sensory characterization and consumer perception
- (2018) Davide Giacalone et al. FOOD QUALITY AND PREFERENCE
- Portable near infrared spectroscopy applied to quality control of Brazilian coffee
- (2018) Radigya M. Correia et al. TALANTA
- Attenuated Total Reflectance Fourier Transform Spectroscopy ( ATR-FTIR) and chemometrics for discrimination of espresso coffees with different sensory characteristics
- (2017) Verônica Belchior et al. FOOD CHEMISTRY
- “Quality does not sell itself”
- (2016) Davide Giacalone et al. British Food Journal
- Nondestructive identification of blue pen inks for documentoscopy purpose using iPhone and digital image analysis including an approach for interval confidence estimation in PLS-DA models validation
- (2016) Leonardo Valderrama et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Partial least square with discriminant analysis and near infrared spectroscopy for evaluation of geographic and genotypic origin of arabica coffee
- (2016) Izabele Marquetti et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Non-destructive fraud detection in rosehip oil by MIR spectroscopy and chemometrics
- (2016) Felipe Bachion de Santana et al. FOOD CHEMISTRY
- Reproducibility of coffee quality cupping scores delivered by cupping centers in Ethiopia
- (2016) Mohammed Worku et al. JOURNAL OF SENSORY STUDIES
- Prediction of specialty coffee cup quality based on near infrared spectra of green coffee beans
- (2016) Kassaye Tolessa et al. TALANTA
- A tutorial on the validation of qualitative methods: From the univariate to the multivariate approach
- (2015) M. Isabel López et al. ANALYTICA CHIMICA ACTA
- Ultraviolet spectroscopy and supervised pattern recognition methods for authentication of transgenic and non-transgenic soybean oils
- (2015) F. C. G. B. S. Alves et al. Analytical Methods
- Application of infrared spectral techniques on quality and compositional attributes of coffee: An overview
- (2014) Douglas Fernandes Barbin et al. FOOD RESEARCH INTERNATIONAL
- Partial least squares discriminant analysis: taking the magic away
- (2014) Richard G. Brereton et al. JOURNAL OF CHEMOMETRICS
- Comparison of Results from Cupping and Descriptive Sensory Analysis of Colombian Brewed Coffee
- (2014) B. Di Donfrancesco et al. JOURNAL OF SENSORY STUDIES
- A Review on the Applications of Portable Near-Infrared Spectrometers in the Agro-Food Industry
- (2013) Cláudia A. Teixeira dos Santos et al. APPLIED SPECTROSCOPY
- Classification of Brazilian Coffee Using Near-Infrared Spectroscopy and Multivariate Calibration
- (2012) Klécia M. Santos et al. ANALYTICAL LETTERS
- Chemometric models for the quantitative descriptive sensory analysis of Arabica coffee beverages using near infrared spectroscopy
- (2010) J.S. Ribeiro et al. TALANTA
- An introduction to Bayesian methods for analyzing chemistry data
- (2009) N. Armstrong et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Physical characterization of non-defective and defective Arabica and Robusta coffees before and after roasting
- (2009) Juliana C.F. Mendonça et al. JOURNAL OF FOOD ENGINEERING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started