作者单位
摘要
The prickly pear fruit helps in combating viral based infections. It is used to treat diabetes and declared to possess hypoglycemic effects. There is also record of the usage of the fruit in the olden days as a remedy for diabetes, lipid disorders, inflammation, ulcers, and pharmacologic side effects. The chemical composition and nutritional values of skin, flesh and seed of prickly pear fruit were investigated and discussed on a dry weight situation. The infrared spectra as well as scanning electron microscopy (SEM) techniques were used to identify the functional groups of carbohydrates, amino acids, and protein. The infrared spectral data of all three (skin, flesh, and seeds) species were recorded and assigned to the presence of distinguish peaks that referred to the three different sugars (glucose, fructose and saccharose) and cyclic aliphatic hydrocarbons moieties. On the other hand, the SEM is a powerful tool to investigate the morphological features of the components. SEM assays were examined on the surfaces of skin, flesh and seed branches showing a small particle that tends to form clusters with different shapes compared to each other. The Energy-dispersive X-ray spectroscopy (EDX) is an analytical technique used for the elemental analysis or chemical characterization of a sample. The EDX spectral technique of the skin, flesh and seeds were confirmed the presence of different essential and useful elements such as carbon, oxygen, magnesium, calcium, potassium, sulfur, aluminum, silicon, chloride, and phosphorus.
Infrared spectroscopy SEM EDX Prickly pear fruit Skin Flesh Seed 
光谱学与光谱分析
2021, 41(2): 648
作者单位
摘要
1 江西农业大学生物光电及应用重点实验室, 江西 南昌 330045
2 江西出入境检验检疫局技术中心, 江西 南昌 330002
3 江西农业大学农学院, 江西 南昌 330045
采用表面增强拉曼光谱技术结合快速溶剂前处理方法检测脐橙果肉中三唑磷农药残留, 应用化学计量学方法建立脐橙果肉中三唑磷农药残留的快速检测模型。 以脐橙果肉提取液为基质, 采用N-丙基乙二胺、 C18和石墨化碳去除果肉中有机酸、 色素等荧光物质,  配制不同浓度的三唑磷农药溶液, 应用不同预处理方法对光谱信号进行预处理, 建立偏最小二乘模型。 结果表明, 以脐橙果肉提取液为基质的三唑磷溶液最低检测浓度低于0.5mg·L-1; 归一化预处理后建立的模型预测性能最好, 模型对预测集样本的均方根误差为1.38 mg·L-1, 相关系数为0.976 6, 相对分析误差为(RPD)4.66。 预测回收率为95.97%~103.18%, 相对误差绝对值在5%以下, 表明模型具有较好的预测效果。 对4个未知浓度样本进行配对t检验, 预测值与真实值无显著差异, 说明所建立的方法准确可靠。
表面增强拉曼光谱 脐橙果肉 三唑磷 快速检测 Surface-enhanced Raman spectroscopy Flesh of navel orange Triazophos Detection 
光谱学与光谱分析
2016, 36(3): 736

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