Robust prediction models for quality parameters in Japanese plums (Prunus salicina L.) using NIR spectroscopy
Esmé D. Louw and Karen I. Theron
Postharvest Biology and Technology, Volume 58, Issue 3, December 2010, Pages 176-184
2010
บทคัดย่อ
Fourier-transformed near infrared (FT-NIR) reflectance spectroscopy was used over a spectral range of 800–2700 nm to develop multivariate prediction models for total soluble solids (TSS), total acidity (TA), sugar-to-acid ratio, firmness and weight in three South African plum cultivars (Pioneer, Laetitia and Angeleno) and a multi-cultivar model. Samples were collected for 7 weeks throughout the ripening period and repeated over two seasons. The validation results had mixed success with TSS (R2 = 0.817–0.959; RMSEP = 0.453–0.610% Brix), TA (R2 = 0.608–0.830; RMSEP = 0.110–0.194% malic acid), sugar-to-acid ratio (R2 = 0.718–0.896; RMSEP = 0.608–1.590), firmness (R2 = 0.623–0.791; RMSEP = 12.459–22.760 N) and weight (R2 = 0.577–0.817; RMSEP = 7.700–12.800 g). The cultivar-specific models of ‘Pioneer’ and ‘Laetitia’ had a better predictability capacity than the ‘Angeleno’ model on all parameters. Although the multi-cultivar model for TSS, TA and sugar-to-acid ratio outperformed the single-cultivar models on R2 values, they had higher prediction errors. The robustness of all the TSS, TA and firmness models is high in terms of seasonality and range.