Vega-Castellote Miguel, Pérez-Marín Dolores, Wold Jens Petter, Afseth Nils Kristian, Sánchez María-Teresa
Department of Bromatology and Food Technology, University of Cordoba, Rabanales Campus, 14071 Córdoba, Spain.
Department of Animal Production, University of Cordoba, Rabanales Campus, 14071 Córdoba, Spain.
Foods. 2024 Dec 9;13(23):3971. doi: 10.3390/foods13233971.
Watermelons are in high demand for their juicy texture and sweetness, which is linked to their soluble solids content (SSC). Traditionally, watermelons have been sold as whole fruits. However, the decline in the mean size of households and the very large size of the fruits, together with high prices, mainly at the beginning of the season, mean that supermarkets now sell them as half fruits. For consumers, it is important to know in advance that the fruits that they are purchasing are of a high quality, based not only on external flesh colour but also on sweetness. Near-infrared spectroscopy (NIRS) and Raman spectroscopy were used for the determination of SSC in half watermelons while simulating supermarket conditions. A handheld linear variable filter (LVF) device and an all-in-one (AIO) Process Raman analyser were used for the NIRS and Raman analysis, respectively. The excellent results obtained-including residual predictive deviation for prediction (RPD) values of 3.06 and 2.90 for NIRS and Raman, respectively-showed the viability of NIRS and Raman spectroscopies for the prediction of sweetness in half watermelons.
西瓜因其多汁的口感和甜度而需求量很大，甜度与可溶性固形物含量（SSC）有关。传统上，西瓜是作为完整的果实出售的。然而，家庭平均规模的下降以及果实的超大尺寸，再加上高昂的价格（主要是在季节初期），意味着超市现在将它们作为半只西瓜出售。对于消费者来说，提前知道他们购买的水果质量很高很重要，这不仅基于外部果肉颜色，还基于甜度。在模拟超市条件下，使用近红外光谱（NIRS）和拉曼光谱来测定半只西瓜中的SSC。分别使用手持式线性可变滤光片（LVF）设备和一体化（AIO）过程拉曼分析仪进行NIRS和拉曼分析。获得的出色结果——包括NIRS和拉曼预测的剩余预测偏差（RPD）值分别为3.06和2.90——表明NIRS和拉曼光谱用于预测半只西瓜甜度的可行性。
