期刊
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
卷 57, 期 20, 页码 9356-9364出版社
AMER CHEMICAL SOC
DOI: 10.1021/jf9018504
关键词
Surface desorption atmospheric pressure chemical ionization; sea cucumber; food analysis; surface analysis; mass spectrometry; principal component analysis; soft independent modeling of class analogy
资金
- innovation method Fund of China [2008IM040400]
Without any sample pretreatment, mass spectral fingerprints of 486 dried sea cucumber slices were rapidly recorded in the mass range of m/z 50-800 by using surface desorption atmospheric pressure chemical ionization mass spectrometry (DAPCI-MS). A set of 162 individual sea cucumbers (Apostichopus japonicus Selenka) grown up in 3 different geographical regions (Weihai: 59 individuals, 177 slices; Yantai: 53 individuals, 159 slices; Dalian: 50 individuals, 150 slices;) in north China sea were successfully differentiated according to their habitats both by Principal Components Analysis (PCA) and Soft Independent Modeling of Class Analogy (SIMCA) of the mass spectral raw data, demonstrating that DAPCI-MS is a practically convenient tool for high-throughput differentiation of sea cucumber products. It has been found that the difference between the body wall tissue and the epidermal tissue is heavily dependent on the habitats. The experimental data also. show that the roughness of the sample surface contributes to the variance of the signal levels in a certain extent, but such variance does not fail the differentiation of the dried sea cucumber samples.
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