title: Rapid and non-destructive determination of quality parameters in the 'Tommy Atkins' mango using a novel handheld near infrared spectrometer.
abstract: The objective of this study was to evaluate the potential of a new handheld ultra-compact near infrared (NIR) spectrometer, based on the linear-variable filter (LVF) technology for rapid and non-destructive quality control analysis of the 'Tommy Atkins' mango. Multivariate calibration models were built using the Partial Least Squares (PLS) regression method to determine soluble solids (SS), dry matter (DM), titratable acidity (TA) and pulp firmness (PF). Different spectral pre-processing techniques were tested. Coefficient of determination and root mean square errors of prediction (RMSEP) values were, respectively: 0.92 and 0.55°Brix for SS, 0.67 and 0.51% for DM, 0.50 and 0.17% citric acid for TA, 0.72 and 12.2N for PF. The predictive models allowed monitoring physico-chemical changes in each fruit during ripening. The results show the feasibility of using the new NIR handheld spectrometer to determine quality parameters in the 'Tommy Atkins' mango.
authors.affiliation: Department of Fundamental Chemistry, Federal University of Pernambuco (UFPE), 50670-901 Recife, PE, Brazil. Electronic address: emanueljn@gmail.com.
authors.forename: Emanuel José Nascimento
authors.initials: EJ
authors.lastname: Marques
authors.affiliation: Embrapa Tropical Semi-Arid, Brazilian Agricultural Research Corporation, 56302-970 Petrolina, PE, Brazil.
authors.forename: Sérgio Tonetto
authors.initials: ST
authors.lastname: de Freitas
authors.affiliation: Department of Chemical Engineering, Federal University of Pernambuco (UFPE), 50670-901 Recife, PE, Brazil.
authors.forename: Maria Fernanda
authors.initials: MF
authors.lastname: Pimentel
authors.affiliation: Institute of Chemistry, University of Campinas (UNICAMP), 13084-971 Campinas, SP, Brazil.
authors.forename: Celio
authors.initials: C
authors.lastname: Pasquini
mesh_terms: D005638:Fruit / Q000737:chemistry; D016018:Least-Squares Analysis; D031022:Mangifera / Q000737:chemistry*; D019265:Spectroscopy, Near-Infrared / Q000295:instrumentation*
keywords: Fruit quality; Mango; NIR spectroscopy; Non-destructive analysis; PLS regression