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The effect of maturity and tissue on the ability of mid infrared spectroscopy to predict the geographical origin of banana ( Musa Cavendish )
Author(s) -
Zhang Long,
Huang Yichao,
Sun Fengjiang,
Chen Da,
Netzel Michael,
Smyth Heather E.,
Sultanbawa Yasmina,
Deng Yongfeng,
Fang Mingliang,
Cozzolino Daniel
Publication year - 2021
Publication title -
international journal of food science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.831
H-Index - 96
eISSN - 1365-2621
pISSN - 0950-5423
DOI - 10.1111/ijfs.14960
Subject(s) - ripeness , maturity (psychological) , partial least squares regression , linear discriminant analysis , mathematics , sample (material) , horticulture , statistics , biology , chemistry , chromatography , ripening , psychology , developmental psychology
Summary The objective of this study was to evaluate the effect of sample presentation (tissue type) and maturity (ripe and unripe) on the classification of banana ( Musa Cavendish ) samples sourced from two different geographical regions and analysed using mid infrared (MIR) spectroscopy. The coefficient of determination ( R 2 ) and the standard error of cross‐validation (SECV) obtained using partial least squares discriminant analysis were 0.83 (0.33), 0.75 (0.25) and 0.94 (0.19) for the prediction of maturity, geographical origin and tissue type, respectively. No effect of either of type of tissue (e.g. pulp or peel) or maturity was observed. The results of this study demonstrated that MIR spectroscopy might be used to classify the origin of the banana samples at different degrees of ripeness. However, one of the limitations of this study is on the number of samples analysed and further validation must be recommended using samples from other sources, regions and harvest seasons.