Rapid determination of spore germinability of Clostridium perfringens based on microscopic hyperspectral imaging technology and chemometrics. (September 2020)

• Record Type: Journal Article
• Authors: Zhu, Yaodi; Zhang, Jiaye; Li, Miaoyun; Zhao, Lijun; Ren, Hongrong; Yan, Longgang; Zhao, Gaiming; Zhu, Chaozhi
• Is Part Of: Journal of food engineering. Volume 280(2020)
• Publication Date: 2020-09
• Subjects: Clostridium perfringens -- Spore germinability -- AGFK -- Microscopic hyperspectral imaging technology -- Data fusion -- Chemometrics; Food industry and trade -- Periodicals; Food -- Analysis -- Periodicals; Aliments -- Industrie et commerce -- Périodiques; Aliments -- Analyse -- Périodiques; Aliments -- Recherche -- Périodiques; 664.005
• DOI: 10.1016/j.jfoodeng.2019.109896
• Languages: English
• ISSNs: 0260-8774

Abstract

Abstract: The Gram-positive, anaerobic, spore-forming bacterium, Clostridium perfringens ( C. perfringens ) causes a variety of diseases in humans and other animals. Spore germination is thought to be the first stage of infection by C. perfringens . AGFK, a mixture of l -asparagine, d -glucose, d -fructose, and potassium ions, is an effective nutrient germinant. The objective of this study was to investigate the effects of different AGFK concentrations (0, 50, 100, 200 mM/mL) on C. perfringens spore germination. This paper proposes a novel rapid method for the measurement of spore germinability based on microscopic hyperspectral imaging technology (HSIT). The spore germination rate ( S rate ), the OD 600 % and Ca 2+ -DPA% of C. perfringens were determined by chemical methods under different concentrations of AGFK. The results showed that spores have a maximum germination rate of 94.59% after 80 min with 100 mM/mL AGFK. Microscopic HSIT revealed that the spectral and spatial characteristics of spores varied during the spore germination process. Multivariate analyses (GA-siPLS and GA-PLS) and the gray symbiotic matrix (GLCM) were used to extract highly correlated spectral and spatial descriptors from the time-series data from microscopic HSIT, respectively. Single spectral, spatial signals and data fusion of spectral and spatial information were then used to predict the S rate, the OD 600 % and Ca 2+ -DPA % by GA-PLS, respectively. The result show that the S rate calibration was built by GA-PLS using data fusion variables and yielded acceptable results ( R c = 0.96, RMSEC = 0.64, R cv = 0.93, RMSEP = 0.87, R p = 0.94). The OD 600 % optimal model was built by GA-PLS using image variables and yielded acceptable results ( R c = 0.93, RMSEC = 19.36, R cv = 0.91, RMSEP = 24.36, R p = 0.89). For Ca 2+ -DPA %, the model based on the fusion of spectral and imaging data was optimal. The Ca 2+ -DPA % calibration yielded acceptable results ( R c = 0.95, RMSEC = 49.83, R cv = 0.93, RMSEP = 58.98, R p = 0.92). This work demonstrates the potential of microscopic HSIT for the non-destructive detection of spore germinability. The data fusion models also significantly improved the prediction of spore germinability. In conclusion, microscopic HSIT exhibits considerable promise for nondestructive diagnostics of spore germination. Highlights: The effects of different AGFK concentrations (0, 50, 100, 200 mM/mL) on C. perfringens spore germination. A novel rapid method for the measurement of spore germination rate based on microscopic hyperspectral imaging technology (HSIT) was proposed. Multivariate analyses (GA-siPLS and GA-PLS) and the gray symbiotic matrix (GLCM) were used to extract highly correlated spectral and spatial descriptors from the time-series data from microscopic HSIT, respectively. Single spectral, spatial signals and the data fusion of spectral and spatial information were used to predict the S rate, the OD 600 % and Ca 2+ -DPA % by GA-PLS during spore germination process.