作 者：
朱瑶迪;张佳烨;李苗云;赵莉君;赵改名;马阳阳;任宏荣;王文涛
关键词：
菌;近红外光谱;肉;肽聚糖;芽孢萌发;GA-siPLS
摘 要：
该研究利用产气荚膜梭菌(Clostridium perfringens,C.perfringens)营养体及其芽孢肽聚糖以芽孢萌发率S、浑浊度OD_(600)%、Ca~(2+)-DPA%变化率等为指标比较不同肽聚糖对C.perfringens芽孢萌发的影响;并针对芽孢萌发率检测耗时、费力等问题,提出一种基于近红外光谱技术(near infrared spectroscopy,NIR)定量预测不同浓度肽聚糖诱导芽孢萌发率研究。首先原始光谱经不同方式预处理,获得最佳方法为标准正态变换,然后使用主成分分析和遗传-联合区间偏最小二乘法进行光谱数据降维及特征变量筛选,分别对不同浓度肽聚糖诱导芽孢S、OD_(600)%、Ca~(2+)-DPA%进行快速预测。结果表明:营养体肽聚糖可有效诱导芽孢萌发,而芽孢肽聚糖效果不明显。利用GA-si PLS筛选芽孢萌发特征变量的最佳特征区间分别是[3,9,11,14]、[1,7,12,15]和[7,8,12,17],其预测集R和RMSEP分别为0.872 6,0.861 1,0.884 1和0.769,0.218%,42.34%。研究结果表明,利用NIR结合GA-siPLS可定量预测肽聚糖诱导C.perfringens芽孢的萌发率,实现芽孢萌发的快速预测,为保证肉制品安全提供有效手段。
译 名：
Effect of different Peptidoglycan on Clostridium perfringens spore germination and quantitative prediction
作 者：
Zhu Yaodi;Zhang Jiaye;Li Miaoyun;Zhao Lijun;Zhao Gaiming;Ma Yangyang;Ren Hongrong;Wang Wentao;School of Food Science and Technology, Henan Agricultural University;
关键词：
bacteria;;near-infrared spectroscopy;;meat product;;Peptidoglycan;;spore germination;;GA-siPLS
摘 要：
Clostridium perfringens(C.perfringens)is a Gram-positive,anaerobic,spore forming pathogenic bacterium causing gastrointestinal(GI)diseases in humans and animals.The most important type that causes C.perfringens-associated food poisoning(FP)in humans is C.perfringens type A,and this illness is the third most commonly reported food-borne disease in the United States.C.perfringens spores are resistant to many environmental stresses and remain dormant in the environment for a long period of time.Once conditions are favorable,they can break their dormancy and initiate germination in response to a variety of compounds.Bacterial shape and cellular resistance to cytoplasmic turgor pressure are determined by peptidoglycan(PG),a polymer of repeated subunits of an N-acetylglucosamine(Glc NAc)and N-acetylmuramic acid(Mur NAc)peptide monomer that surrounds the cytoplasmic membrane.PG can be targeted to a single germination receptor to efficiently induce C.perfringens spore germination.In this study,C.perfringens vegetative and its spore cortex peptidoglycan were used for spore germination rate(S),turbidity(OD_(600)%)and the release rate of Ca~(2+)-DPA%.Among the existing spectroscopic methods,near-infrared spectroscopy(NIR)has been proven to be one of the most powerful tools for the qualitative and quantitative analysis of constituents in food,agricultural,wood and pharmaceutical products.The S,and(OD_(600)%)and Ca~(2+)-DPA%were compared the effect of different peptidoglycans on spore germination,and the time-consuming and laborious shortage of spore germination rate detection,a study based on NIR combined with chemometric methods to quantitatively predict spore germination rates under different PG concentration conditions.Three preprocessed method,including MSC,SNV and centralization,were used to preprocess the original spectral.The optimal preprocessing method is SNV,and then using principal component analysis(PCA)and GA-joint interval Partial least squares(GA-si PLS)for spectral data dimensionality reduction and feature variable screening,and finally using GA-siPLS was used to rapidly predict spore S,OD_(600)%,and Ca~(2+)-DPA%in different concentrations of PG.The results showed that C.perfringens PG could effectively induce spore germination,and the best effect was induced by 10~(-1) mg/m L.The results of were showed that the S was 95.28%,the OD_(600)%was 29.41%,and the Ca~(2+)-DPA release rate was 58%,while the spore PG effect was not obvious.Using GA-siPLS to screen for spore germination characteristic variables,the optimal feature intervals for S,OD_(600)%,and Ca~(2+)-DPA%were[3,9,11,14],[1,7,12,15],and[7,8,12,17],respectively.For the S,the correlation coefficients R of the calibration set and prediction set are 0.892 4 and 0.872 6,respectively,and the root mean square error are 0.711 and 0.769 respectively.For the OD_(600)%,the R are 0.896 3 and 0.861 1,respectively.The root mean square error are 0.189%and 0.218%respectively.For Ca~(2+)-DPA%,the R of the most training set and prediction set are 0.9037 and 0.884 1,respectively,and the root mean square error is 39.53%and 42.34%.The results show that the NIR combined with chemometric methods can quickly predict the spore germination rate of C.perfringens.This study can rapidly predict the spore germination rate,which can provide an effective means to ensure the safety of meat products.
