Fang Li, Wei Kangli, Feng Li, Tu Kang, Peng Jing, Wang Jiahong, Pan Leiqing
College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
College of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing 210037, China.
Foods. 2020 Dec 17;9(12):1881. doi: 10.3390/foods9121881.
Soluble solid content (SSC) is regarded as the most significant internal quality associated with the taste and maturity in fruits. Evaluating the relationship between the optical properties and soluble sugars facilitates exploration of the mechanism of optical techniques in SSC assessment. In this research, absorption coefficient () and reduced scattering coefficient (') of Fuji apple during storage were obtained using automatic integrating sphere (AIS) at 905-1650 nm. Relationships between , ' and SSC, and soluble sugars contents, were investigated. The result showed that SSC, the content of total soluble sugars (TSS), fructose, glucose and sucrose were all decreasing after storage, and the same trend appeared in the change of and '. In the whole wavelength range, both and ' were positively related to SSC and soluble sugars contents. The correlations between and SSC, and soluble sugars contents, showed increasing tendencies with increasing wavelengths, while for ', correlations had the opposite trend. The strongest correlations between and SSC, and soluble sugars contents, were observed in the correlation of with sucrose, with an of 0.934. Furthermore, a partial least square (PLS) model for sucrose based on was built with the coefficient of determination of prediction () and the root mean square error of prediction (RMSEP) of 0.851 and 1.047, respectively. The overall results demonstrate that optical properties at the range of 905-1650 nm could be used to evaluate SSC of apples and this may due to the strong correlation between sucrose content and .
可溶性固形物含量(SSC)被视为与水果口感和成熟度相关的最重要的内部品质。评估光学特性与可溶性糖之间的关系有助于探索光学技术在SSC评估中的作用机制。在本研究中,利用自动积分球(AIS)在905 - 1650 nm波长范围内获取了富士苹果在贮藏期间的吸收系数()和约化散射系数(')。研究了、'与SSC以及可溶性糖含量之间的关系。结果表明,贮藏后SSC、总可溶性糖(TSS)含量、果糖、葡萄糖和蔗糖含量均下降,并且和'的变化也呈现相同趋势。在整个波长范围内,和'均与SSC及可溶性糖含量呈正相关。与SSC及可溶性糖含量之间的相关性随波长增加呈上升趋势,而对于',相关性则呈相反趋势。与SSC及可溶性糖含量之间的最强相关性出现在与蔗糖的相关性中,相关系数为0.934。此外,基于建立了蔗糖的偏最小二乘(PLS)模型,预测决定系数()和预测均方根误差(RMSEP)分别为0.851和1.047。总体结果表明,905 - 1650 nm波长范围内的光学特性可用于评估苹果的SSC,这可能是由于蔗糖含量与之间存在强相关性。