Zhou Xia, Wan Jun, Chu Liang, Liu Wengang, Jing Yafeng, Wu Chunjie
Life Science and Engineering College of South west Jiao tong University, Chengdu, China.
Department of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Pharmacogn Mag. 2014 Jan;10(Suppl 1):S135-40. doi: 10.4103/0973-1296.127363.
Pinelliae Rhizoma is a commonly used Chinese herb which will change brown during the natural drying process. However, sulfur fumed Pinelliae Rhizoma will get a better appearance than naturally dried one. Sulfur fumed Pinelliae Rhizoma is potentially toxical due to sulfur dioxide and sulfites formed during the fuming procedures. The odor components in sulfur fumed Pinelliae Rhizoma is complex. At present, there is no analytical method available to determine sulfur fumed Pinelliae Rhizoma simply and rapidly. To ensure medication safety, it is highly desirable to have an effective and simple method to identify sulfur fumed Pinelliae Rhizoma.
This paper presents a novel approach using an electronic nose based on metal oxide sensors to identify whether Pinelliae Rhizoma was fumed with sulfur, and to predict the fuming degree of Pinelliae Rhizoma. Multivariate statistical methods such as principal components analysis (PCA), discriminant factorial analysis (DFA) and partial least squares (PLS) were used for data analyzing and identification. The use of the electronic nose to discriminate between different fuming degrees Pinelliae Rhizoma and naturally dried Pinelliae Rhizoma was demonstrated.
The electronic nose was also successfully applied to identify unknown samples including sulfur fumed samples and naturally dried samples, high recognition value was obtained. Quantitative analysis of fuming degree of Pinelliae Rhizoma was also demonstrated. The method developed is simple and fast, which provides a new quality control method of Chinese herbs from the aspect of odor.
It has shown that this electronic nose based metal oxide sensor is sensitive to sulfur and sulfides. We suggest that it can serve as a supportive method to detect residual sulfur and sulfides.
半夏是常用的中药材，在自然干燥过程中会变成褐色。然而，硫磺熏蒸的半夏外观比自然干燥的更好。硫磺熏蒸的半夏由于熏蒸过程中形成的二氧化硫和亚硫酸盐而具有潜在毒性。硫磺熏蒸半夏中的气味成分复杂。目前，尚无简单快速测定硫磺熏蒸半夏的分析方法。为确保用药安全，非常需要一种有效且简单的方法来鉴别硫磺熏蒸半夏。
本文提出一种基于金属氧化物传感器的电子鼻新方法，用于鉴别半夏是否经过硫磺熏蒸，并预测半夏的熏蒸程度。采用主成分分析（PCA）、判别因子分析（DFA）和偏最小二乘法（PLS）等多元统计方法进行数据分析和鉴别。展示了使用电子鼻区分不同熏蒸程度半夏和自然干燥半夏的情况。
电子鼻还成功应用于鉴别未知样品，包括硫磺熏蒸样品和自然干燥样品，获得了较高的识别值。还展示了对半夏熏蒸程度的定量分析。所开发的方法简单快速，从气味方面为中药材提供了一种新的质量控制方法。
结果表明，这种基于金属氧化物传感器的电子鼻对硫和硫化物敏感。我们建议它可作为检测残留硫和硫化物的辅助方法。
