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Rapid and non-destructive determination of quality parameters in the 'Tommy Atkins' mango using a novel handheld near infrared spectrometer.
Food Chem. 2016 Apr 15; 197 Pt B:1207-14.FC

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+Show Affiliations

Department of Fundamental Chemistry, Federal University of Pernambuco (UFPE), 50670-901 Recife, PE, Brazil. Electronic address: emanueljn@gmail.com.Embrapa Tropical Semi-Arid, Brazilian Agricultural Research Corporation, 56302-970 Petrolina, PE, Brazil.Department of Chemical Engineering, Federal University of Pernambuco (UFPE), 50670-901 Recife, PE, Brazil.Institute of Chemistry, University of Campinas (UNICAMP), 13084-971 Campinas, SP, Brazil.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

26675859

Citation

Marques, Emanuel José Nascimento, et al. "Rapid and Non-destructive Determination of Quality Parameters in the 'Tommy Atkins' Mango Using a Novel Handheld Near Infrared Spectrometer." Food Chemistry, vol. 197 Pt B, 2016, pp. 1207-14.
Marques EJ, de Freitas ST, Pimentel MF, et al. Rapid and non-destructive determination of quality parameters in the 'Tommy Atkins' mango using a novel handheld near infrared spectrometer. Food Chem. 2016;197 Pt B:1207-14.
Marques, E. J., de Freitas, S. T., Pimentel, M. F., & Pasquini, C. (2016). Rapid and non-destructive determination of quality parameters in the 'Tommy Atkins' mango using a novel handheld near infrared spectrometer. Food Chemistry, 197 Pt B, 1207-14. https://doi.org/10.1016/j.foodchem.2015.11.080
Marques EJ, et al. Rapid and Non-destructive Determination of Quality Parameters in the 'Tommy Atkins' Mango Using a Novel Handheld Near Infrared Spectrometer. Food Chem. 2016 Apr 15;197 Pt B:1207-14. PubMed PMID: 26675859.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Rapid and non-destructive determination of quality parameters in the 'Tommy Atkins' mango using a novel handheld near infrared spectrometer. AU - Marques,Emanuel José Nascimento, AU - de Freitas,Sérgio Tonetto, AU - Pimentel,Maria Fernanda, AU - Pasquini,Celio, Y1 - 2015/11/24/ PY - 2015/08/31/received PY - 2015/11/09/revised PY - 2015/11/14/accepted PY - 2015/12/18/entrez PY - 2015/12/18/pubmed PY - 2016/9/10/medline KW - Fruit quality KW - Mango KW - NIR spectroscopy KW - Non-destructive analysis KW - PLS regression SP - 1207 EP - 14 JF - Food chemistry JO - Food Chem VL - 197 Pt B N2 - 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. SN - 1873-7072 UR - https://www.unboundmedicine.com/medline/citation/26675859/Rapid_and_non_destructive_determination_of_quality_parameters_in_the_'Tommy_Atkins'_mango_using_a_novel_handheld_near_infrared_spectrometer_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0308-8146(15)30224-7 DB - PRIME DP - Unbound Medicine ER -