TÜBİTAK Marmara Research Center (MRC), Food Institute, PO Box 21, 41470 Gebze, Kocaeli, Turkey.
Apricot Research Institute, Malatya, Turkey.
Talanta. 2018 Aug 15;186:467-472. doi: 10.1016/j.talanta.2018.05.007. Epub 2018 May 2.
The potential of using FT-NIR spectroscopy for the rapid and non-destructive measurement of the moisture, water activity, firmness and SO content of the intact sulphured-dried apricots (SDA) was investigated for the first time in the literature. The partial least squares regression (PLS-R) models constructed using FT-NIR spectra were very successful in predicting the moisture content (R = 0.986, RMSEP = 1.22%, RPD = 9.15) and water activity (R = 0.987, RMSEP = 0.016, RPD = 9.37) of SDAs. Satisfactory results were also obtained for the models developed for the prediction of the firmness (R = 0.845, RMSEP = 0.445, RPD = 2.55) and SO content (R = 0.804, RMSEP = 349 mg kg, RPD = 2.27). These results clearly demonstrate that the major quality parameters of SDA can be simultaneously measured in a short time by FT-NIR spectroscopy without any need for the sample preparation or skilled laboratory personnel.
首次在文献中研究了傅里叶变换近红外光谱（FT-NIR）在快速无损测量完整硫磺熏干杏（SDA）水分、水分活度、硬度和 SO 含量方面的潜力。使用 FT-NIR 光谱构建的偏最小二乘回归（PLS-R）模型在预测 SDA 的水分含量（R = 0.986，RMSEP = 1.22%，RPD = 9.15）和水分活度（R = 0.987，RMSEP = 0.016，RPD = 9.37）方面非常成功。对于预测硬度（R = 0.845，RMSEP = 0.445，RPD = 2.55）和 SO 含量（R = 0.804，RMSEP = 349mgkg，RPD = 2.27）的模型，也得到了令人满意的结果。这些结果清楚地表明，FT-NIR 光谱可以在短时间内同时测量 SDA 的主要质量参数，而无需进行样品制备或需要熟练的实验室人员。
