Applied Chemistry and Environmental Science, School of Science, RMIT University, 124a La Trobe Street, Melbourne, VIC 3000, Australia.
Biosciences and Food Technology, School of Science, Building 223, RMIT University, P.O. Box 71, Bundoora, VIC 3083, Australia.
Molecules. 2020 Aug 19;25(17):3776. doi: 10.3390/molecules25173776.
Aquaculture represents a major part of the world's food supply. This area of food production is developing rapidly, and as such the tools and analytical techniques used to monitor and assess the quality of fish need to also develop and improve. The use of spatially off-set Raman spectroscopy (SORS) is particularly well-suited for these applications, given the ability of this technique to take subsurface measurements as well as being rapid, non-destructive and label-free compared to classical chemical analysis techniques. To explore this technique for analysing fish, SORS measurements were taken on commercially significant whole fish through the skin in different locations. The resulting spectra were of high quality with subsurface components such as lipids, carotenoids, proteins and guanine from iridophore cells clearly visible in the spectra. These spectral features were characterised and major bands identified. Chemometric analysis additionally showed that clear differences are present in spectra not only from different sections of a fish but also between different species. These results highlight the potential application for SORS analysis for rapid quality assessment and species identification in the aquaculture industry by taking through-skin measurements.
水产养殖是世界食物供应的主要组成部分。这一食物生产领域正在迅速发展,因此,用于监测和评估鱼类质量的工具和分析技术也需要发展和改进。与传统的化学分析技术相比,空间偏移拉曼光谱(SORS)的使用特别适合这些应用,因为该技术不仅能够进行亚表面测量,而且具有快速、非破坏性和无标记的特点。为了探索该技术在鱼类分析中的应用,通过皮肤在不同位置对具有商业重要性的整条鱼进行了 SORS 测量。所得到的光谱质量很高,亚表面成分如脂类、类胡萝卜素、蛋白质和来自虹彩细胞的鸟嘌呤在光谱中清晰可见。对这些光谱特征进行了表征,并确定了主要的谱带。化学计量学分析还表明,不仅来自鱼的不同部位的光谱存在明显差异,而且不同物种之间也存在明显差异。这些结果突出了通过皮肤测量进行快速质量评估和水产养殖行业物种鉴定的 SORS 分析的应用潜力。