Department of Food Science, Stellenbosch University, Private Bax X1, Matieland, Stellenbosch 7602, South Africa.
Department of Food Science, Stellenbosch University, Private Bax X1, Matieland, Stellenbosch 7602, South Africa; Department of Chemistry, University of Rome "La Sapienza", P.le Aldo moro 5, 1-00185 Rome, Italy.
Spectrochim Acta A Mol Biomol Spectrosc. 2024 Dec 15;323:124869. doi: 10.1016/j.saa.2024.124869. Epub 2024 Jul 24.
ANOVA-simultaneous component analysis (ASCA) was applied to short-wave infrared spectral fingerprints of 5 malting barley varieties collected using a hyperspectral imaging system to determine the effect of germination, the influence of time and the influence of barley by means of a full factorial experimental design. ASCA indicated that there was a significant (p < 0.0001) effect of the germination status, the germination time and interaction on the spectral data for all varieties. The biochemical and physiological modification of the samples were characterised by visualisation of the longitudinal scores obtained from simultaneous component analysis for the germination time factor. This resulted in the visualisation and explanation of biochemical change over the course of barley germination as a factor of time. The relevant loadings indicated a significant change to the proteome, lipid and starch structure as driven by the uptake of water over time. The ASCA model were extrapolated to include the effect of barley variety to the already mentioned germination status and germination time factors, resulting once again in all the effects being significant (p < 0.0001). Here it was shown that all the barley varieties are significantly different from one another pre- and post-modification, based on the molecular vibrations observed in the short wave-infrared (SWIR) spectra, suggesting that the detection of biotic stress factors, such as pre-harvest germination, also differ for each variety, by indicating that the germination profile of each barley variety varies as a function of germination time. Thus, also the malting performance, germinative energy and chemical profile of each barley variety tested will vary before, during and after imbibition and germination - indicating the importance of malting commercial barley malt true to variety. These results indicate that (SWIR) spectral imaging instrumentation can possibly be used to monitor controlled germination of barley grain. Due to the shown ability of SWIR spectral imaging to detect small biochemical changes over time of barley grain during germination.
方差分析-同时成分分析 (ASCA) 被应用于使用高光谱成像系统收集的 5 个麦芽大麦品种的短波红外光谱指纹,以确定发芽的影响、时间的影响和大麦的影响,采用完全因子实验设计。ASCA 表明,所有品种的光谱数据都存在发芽状态、发芽时间和相互作用的显著影响(p < 0.0001)。通过对发芽时间因素的同时成分分析得到的纵向得分的可视化,对样品的生物化学和生理修饰进行了表征。这导致了在大麦发芽过程中作为时间因素的生物化学变化的可视化和解释。相关的加载表明,随着时间的推移,水的吸收导致蛋白质组、脂质和淀粉结构发生显著变化。ASCA 模型被外推以包括大麦品种对已提及的发芽状态和发芽时间因素的影响,结果再次表明所有影响均具有统计学意义(p < 0.0001)。在这里,根据在短波红外(SWIR)光谱中观察到的分子振动,表明所有大麦品种在改性前后彼此之间均存在显著差异,这表明对生物胁迫因素(例如收获前发芽)的检测也因每种品种而异,这表明每种大麦品种的发芽曲线随发芽时间而变化。因此,在吸胀和发芽之前、期间和之后,每个测试的大麦品种的制麦性能、发芽能量和化学特性也将发生变化-表明了每个大麦品种的麦芽商业大麦麦芽的真实性的重要性。这些结果表明,(SWIR)光谱成像仪器可能可用于监测大麦谷物的受控发芽。由于显示出的 SWIR 光谱成像在大麦谷物发芽过程中随时间检测到较小的生化变化的能力。