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Separation of botulinum-positive and -negative fish samples by means of a pattern recognition method applied to headspace gas chromatograms.

机译:通过应用于顶空气相色谱图的模式识别方法分离肉毒杆菌阳性和阴性鱼样品。

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摘要

A gas chromatographic headspace technique was used to analyze the gas produced during putrefaction of pond-raised, degutted trout, incubated in evacuated plastic pouches. The following samples were analyzed; 10 samples which, due to natural contamination with Clostridium botulinum, were toxic when injected into mice, 10 samples which were nontoxic when injected, and 9 samples inoculated with one strain of C. botulinum type E. The gas chromatograms showed the presence of 118 compounds in most samples. Quantitative differences among most chromatograms could be observed, but no compound was unique to any of the three groups. By means of a specific pattern recognition method, all negative samples were shown to fall into one group and were distinctly separated from the toxic samples. No differences could be observed between the two groups of inoculated and naturally contaminated trout samples. The results suggest that headspace analysis combined with pattern recognition analysis might prove to be a valuable method for screening studies of foods containing living cells of C. botulinum.
机译:气相色谱顶空技术用于分析池塘养成的去皮鳟鱼腐烂过程中产生的气体,将其放在真空塑料袋中孵育。分析了以下样品; 10个样品,由于被肉毒梭菌自然污染,被注射到小鼠中后有毒,10个样品被注射时无毒,9个样品接种了一株E型肉毒梭状芽孢杆菌。气相色谱显示存在118种化合物在大多数样本中。可以观察到大多数色谱图之间的定量差异,但三组中的任何一组都不存在唯一的化合物。通过特定的模式识别方法,所有阴性样品均显示为一组,并与有毒样品明显分离。在两组接种的和自然污染的鳟鱼样品之间没有观察到差异。结果表明,顶空分析与模式识别分析相结合可能被证明是筛选含有肉毒梭菌活细胞的食品的有价值的方法。

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