Published in Scientific Papers. Series B, Horticulture, Vol. LXVIII, Issue 1
Written by Stefka ATANASSOVA, Mima TODOROVA, Stanislava ATANASSOVA, Dimitar YORGOV, Vania SKILA, Petya VELEVA, Galina PEVICHAROVA
Conventional methods for fruit analysis are often destructive, time-consuming, and labor-intensive. Rapidly and non-destructively detecting fruit quality is an important topic in fruit agriculture. The aim of the research is a non-destructive assessment of the quality of strawberry fruits of three varieties grown in a greenhouse. A total 90 number of fruits were collected, 30 of each variety. The diffuse reflectance spectral data of all fruits in the region 900 to 1700 nm were obtained using NIRQuest (Ocean Optics, Inc.). The soluble solids content (oBrix), ascorbic acid, and texture parameters (rupture force, yield force, modulus of fresh elasticity, and deformation work) were measured on each fruit. PLS regression was used to create models for the determination of tested parameters. Good PLS equations were obtained for soluble solids content and ascorbic acid content. The parameter RPD = SD/SECV, which is used to evaluate the accuracy of the determination, has values of 3.06 for SCC and 4.57 for ascorbic acid content. The accuracy of defining textural parameters was excellent. For each of them, the correlation coefficient Rcv was 0.99 and the determination errors were small. No difference was observed in the accuracy of the determination of tested parameters depending on the strawberry varieties.
[Read full article] [Citation]
