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Comparison of NIRS approach for prediction of internal quality traits in three fruit species.
Food Chem. 2014 Jan 15; 143:223-30.FC

Abstract

NIR Spectroscopy ability was investigated to assess the fruit structure effect (passion fruit, tomato and apricot) on prediction performance of soluble solids content (SSC) and titratable acidity (TA). Relationships between spectral wavelengths and SSC and TA were evaluated through the application of chemometric techniques based on partial least squares (PLS). Good prediction performance was obtained for apricot with correlation coefficients of 0.93 and 0.95 for SSC and TA and root mean square errors of prediction (RMSEP%) of 3.3% and 14.2%, respectively. For the passion fruit and tomato, the prediction models were not satisfactorily accurate due to the high RMSEP. Results showed that NIR technology can be used to evaluate apricot internal quality, however, it was not appropriate to evaluate internal quality in fruits with thick skin, (passion fruit), and/or heterogeneous internal structure (tomato).

Links

Publisher Full Text
linkinghub.elsevier.com
linkinghub.elsevier.com

Authors+Show Affiliations

de Oliveira GA
Graduate Program in Food Engineering, Paraná Federal University, 81531-980 Curitiba, Brazil; UMR408 Sécurité et Qualité des Produits d'Origine Végétale, INRA, Université d'Avignon, Site Agroparc, CS 40509, F-84000 Avignon, France. Electronic address: gabrieli@ufpr.br.
Bureau S
No affiliation info available
Renard CM
No affiliation info available
Pereira-Netto AB
No affiliation info available
de Castilhos F
No affiliation info available

MeSH

FruitLycopersicon esculentumPassifloraPrunusSpectroscopy, Near-Infrared

Pub Type(s)

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

Language

eng

PubMed ID

24054234

Citation

de Oliveira, Gabrieli Alves, et al. "Comparison of NIRS Approach for Prediction of Internal Quality Traits in Three Fruit Species." Food Chemistry, vol. 143, 2014, pp. 223-30.
de Oliveira GA, Bureau S, Renard CM, et al. Comparison of NIRS approach for prediction of internal quality traits in three fruit species. Food Chem. 2014;143:223-30.
de Oliveira, G. A., Bureau, S., Renard, C. M., Pereira-Netto, A. B., & de Castilhos, F. (2014). Comparison of NIRS approach for prediction of internal quality traits in three fruit species. Food Chemistry, 143, 223-30. https://doi.org/10.1016/j.foodchem.2013.07.122
de Oliveira GA, et al. Comparison of NIRS Approach for Prediction of Internal Quality Traits in Three Fruit Species. Food Chem. 2014 Jan 15;143:223-30. PubMed PMID: 24054234.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Comparison of NIRS approach for prediction of internal quality traits in three fruit species. AU - de Oliveira,Gabrieli Alves, AU - Bureau,Sylvie, AU - Renard,Catherine Marie-Geneviève Claire, AU - Pereira-Netto,Adaucto Bellarmino, AU - de Castilhos,Fernanda, Y1 - 2013/08/02/ PY - 2012/11/08/received PY - 2013/07/22/revised PY - 2013/07/25/accepted PY - 2013/9/24/entrez PY - 2013/9/24/pubmed PY - 2014/2/22/medline KW - Apricot KW - Chemometrics KW - Near infrared KW - Passion fruit KW - Soluble solids content KW - Tomato KW - Total acidity SP - 223 EP - 30 JF - Food chemistry JO - Food Chem VL - 143 N2 - NIR Spectroscopy ability was investigated to assess the fruit structure effect (passion fruit, tomato and apricot) on prediction performance of soluble solids content (SSC) and titratable acidity (TA). Relationships between spectral wavelengths and SSC and TA were evaluated through the application of chemometric techniques based on partial least squares (PLS). Good prediction performance was obtained for apricot with correlation coefficients of 0.93 and 0.95 for SSC and TA and root mean square errors of prediction (RMSEP%) of 3.3% and 14.2%, respectively. For the passion fruit and tomato, the prediction models were not satisfactorily accurate due to the high RMSEP. Results showed that NIR technology can be used to evaluate apricot internal quality, however, it was not appropriate to evaluate internal quality in fruits with thick skin, (passion fruit), and/or heterogeneous internal structure (tomato). SN - 1873-7072 UR - https://www.unboundmedicine.com/medline/citation/24054234/Comparison_of_NIRS_approach_for_prediction_of_internal_quality_traits_in_three_fruit_species_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0308-8146(13)01051-0 DB - PRIME DP - Unbound Medicine ER -