近红外光谱结合化学计量学算法用于定量测定四种不同基质中产气荚膜梭菌的发芽能力。

Near-infrared spectroscopy coupled with chemometrics algorithms for the quantitative determination of the germinability of Clostridium perfringens in four different matrices.

作者信息

Zhu Yaodi, Zhang Jiaye, Li Miaoyun, Ren Hongrong, Zhu Chaozhi, Yan Longgnag, Zhao Gaiming, Zhang Qiuhui

机构信息

College of Food Science and Technology, Henan Key Laboratory of Meat Processing and Quality Safety Control, Henan Agricultural University, Zhengzhou 450000, PR China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2020 May 5;232:117997. doi: 10.1016/j.saa.2019.117997. Epub 2019 Dec 28.

DOI:10.1016/j.saa.2019.117997

PMID:32062401

Abstract

Clostridium perfringens (C. perfringens) has the ability to form metabolically-dormant spores that can survive food preservation processes and cause food spoilage and foodborne safety risks upon germination outgrowth. This study was conducted to investigate the effects of different AGFK concentrations (0, 50, 100, 200 mM/mL) on the spore germination of C. perfringens in four matrices, including Tris-HCl, FTG, milk, and chicken soup. C. perfringens spore germinability was investigated using near infrared spectroscopy (NIRS) combined with chemometrics. The spore germination rate (S), the OD%, and the Ca-DPA% were measured using traditional spore germination methods. The results of spore germination assays showed that the optimum germination rate was obtained using 100 mM/L concentrations of AGFK in the FTG medium, and the S, OD% and Ca-DPA% were 98.6%, 59.3% and 95%, respectively. The best prediction models for the S, OD% and Ca-DPA% were obtained using SNV as the preprocessing method for the original spectra, with the competitive adaptive weighted resampling method (CARS) as the characteristic variables related to the selected spore germination methods from NIRS data. The results of the S showed that the optimum model was built by CARS-PLSR (RMSEV = 0.745, R = 0.897, RMSEP = 0.769, R = 0.883). For the OD%, interval partial least squares regression (CARS-siPLS) was performed to optimize the models. The calibration yielded acceptable results (RMSEV = 0.218, R = 0.879, RMSEP = 0.257, R = 0.845). For the Ca-DPA%, the optimum model with CARS-siPLS yielded acceptable results (RMSEV = 44.7, R = 0.883, RMSEP = 50.2, R = 0.872). This indicated that quantitative determinations of the germinability of C. perfringens spores using NIR technology is feasible. A new method based on NIR was provided for rapid, automatic, and non-destructive determination of the germinability of C. perfringens spores.

摘要

产气荚膜梭菌具有形成代谢休眠孢子的能力，这些孢子能够在食品保鲜过程中存活，并在萌发生长时导致食品变质和食品安全风险。本研究旨在调查不同AGFK浓度（0、50、100、200 mM/mL）对产气荚膜梭菌在四种基质（包括Tris-HCl、FTG、牛奶和鸡汤）中孢子萌发的影响。采用近红外光谱（NIRS）结合化学计量学方法研究产气荚膜梭菌孢子的萌发能力。使用传统的孢子萌发方法测量孢子萌发率（S）、OD%和Ca-DPA%。孢子萌发试验结果表明，在FTG培养基中使用100 mM/L浓度的AGFK可获得最佳萌发率，S、OD%和Ca-DPA%分别为98.6%、59.3%和95%。对于S、OD%和Ca-DPA%的最佳预测模型，使用标准正态变量变换（SNV）作为原始光谱的预处理方法，采用竞争性自适应加权重采样方法（CARS）作为从NIRS数据中选择的与孢子萌发方法相关的特征变量。S的结果表明，最佳模型由CARS-偏最小二乘回归（CARS-PLSR）构建（RMSEV = 0.745，R = 0.897，RMSEP = 0.769，R = 0.883）。对于OD%，进行区间偏最小二乘回归（CARS-siPLS）以优化模型。校准产生了可接受的结果（RMSEV = 0.218，R = 0.879，RMSEP = 0.257，R = 0.845）。对于Ca-DPA%，CARS-siPLS的最佳模型产生了可接受的结果（RMSEV = 44.7，R = 0.883，RMSEP = 50.2，R = 0.872）。这表明使用近红外技术定量测定产气荚膜梭菌孢子的萌发能力是可行的。提供了一种基于近红外的新方法，用于快速、自动和无损测定产气荚膜梭菌孢子的萌发能力。