Aflatoxins and fumonisins are ubiquitous foodborne toxicants and the co-occurrence of these mycotoxins in human foods represents a significant public health concern, which has been strongly associated with human aflatoxicosis, neural tube defects, as well as many types of primary cancers. In this study the co-contamination of aflatoxin B(1) (AFB(1)) and fumonisin B(1) (FB(1)) in food and human dietary exposure was investigated in residents of three different areas of China. A total of 209 food samples were measured for AFB(1) and FB(1). The median AFB(1) levels were 13.5, 2.3 and 1.3 µg kg(-1) and the median FB(1) levels were 2.6, 0.4 and 0.3 mg kg(-1) in corn samples collected from Huaian (a high-risk area for oesophageal cancer), Fusui (a high-risk area for liver cancer) and Huantai (a low-risk area for both oesophageal and liver cancers), respectively. The median level of AFB(1) in plant oil of Fusui was the highest (52.3 µg kg(-1)) among all food samples analysed. Co-contamination of these two mycotoxins was found in corn, rice and wheat flour. Based on measured food consumption data, the averaged daily dietary intake of AFB(1) was 0.397 µg (range = 0.269-1.218 µg) in residents of Huantai, 1.723 µg (0.224-49.772 µg) in Huaian, and 2.685 µg (1.006-14.534 µg) in Fusui. The averaged FB(1) daily dietary intake was 92.4 µg (range = 55.0-362.1 µg) for residents of Huantai, 460.0 µg (83.2-2894.5 µg) in Huaian, and 138.6 µg (30.0-10,541.6 µg) in Fusui. These data suggest that the co-exposure to AFB(1) and FB(1) in residents of rural China may contribute to the aetiology of human chronic diseases in high-risk areas.
International audienceMoments and moment invariants have become a powerful tool in pattern recognition and image analysis. Conventional methods to deal with color images are based on RGB decomposition or graying, which may lose some significant color information. In this paper, by using the algebra of quaternions, we introduce the quaternion Zernike moments (QZMs) to deal with the color images in a holistic manner. It is shown that the QZMs can be obtained from the conventional Zernike moments of each channel. We also provide the theoretical framework to construct a set of combined invariants with respect to rotation, scaling and translation (RST) transformation. Experimental results are provided to illustrate the efficiency of the proposed descriptors
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