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首页> 外文期刊>RSC Advances >Recognition of osmotolerant yeast spoilage in kiwi juices by near-infrared spectroscopy coupled with chemometrics and wavelength selection
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Recognition of osmotolerant yeast spoilage in kiwi juices by near-infrared spectroscopy coupled with chemometrics and wavelength selection

机译：近红外光谱结合化学计量学和波长选择识别猕猴桃汁中的渗透压酵母变质

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摘要

The recognition of food spoilage by osmotolerant yeast is important in food safety surveillance. In the study, Fourier transform near-infrared spectroscopy was employed for acquisition of five osmotolerant yeast (Hanseniaspora uvarum, Candida tropicalis, Candida intermedia, Meyerozyma guilliermondii and Saccharomyces cerevisiae) contaminated kiwi juice spectra. Support Vector Machine (SVM) recognition models were built with Direct Orthogonal Signal Correction processed full range wavelength spectra or Competitive Adaptive Reweighted Sampling (CARS) selected wavelength spectra. Grid search, Particle Swarm Optimization and Genetic Algorithm were employed for SVM parameter optimization to improve model performance. The overall correct rate was 100% for single strain recognition and 98.8% for yeast cocktail recognition both by employing the full and CARS selected wavelengths. Analysis on CARS selected wavelengths inferred that amide bond containing compounds (5068, 5064, 5207, 5076 and 5072 cm?1) and water (5277 and 5412 cm?1) may be relevant in discriminating kiwi juice spoiled by different yeasts. The method provides a fast, simple and high-throughput method for yeast spoilage recognition, which can be applied in monitoring osmotolerant yeast spoilage.
机译：渗透渗酵母对食品变质的认识在食品安全监控中很重要。在这项研究中，使用傅立叶变换近红外光谱仪获得了5种渗透压酵母（， Candidatropicis ， Candida intermedia ，< em> Meyerozyma guilliermondii 和 Saccharomyces cerevisiae ）污染了猕猴桃汁谱。支持向量机（SVM）识别模型是使用直接正交信号校正处理的全范围波长光谱或竞争性自适应加权采样（CARS）选择的波长光谱构建的。网格搜索，粒子群优化和遗传算法被用于支持向量机参数优化，以提高模型性能。通过使用全波长和CARS选定波长，单个菌株识别的总体正确率为100％，酵母鸡尾酒识别的总体正确率为98.8％。对CARS选定波长的分析推断出含有酰胺键的化合物（5068、5064、5207、5076和5072 cm ？1 ）和水（5277和5412 cm < sup>？1 ）可能与辨别不同酵母变质的猕猴桃汁有关。该方法提供了一种快速，简便，高通量的酵母菌变质识别方法，可用于监测耐渗透性酵母菌变质。

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