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Lee Woojung,Kim Min-Hee,Park Juyeon,Kim You Jin,Kim Eiseul,Heo Eun Jeong,Kim Seung Hwan,Kim Gyungcheon,신학동,Kim Soon Han,김해영 한국미생물·생명공학회 2023 Journal of microbiology and biotechnology Vol.33 No.2
Lettuce is one of the most consumed vegetables worldwide. However, it has potential risks associated with pathogenic bacterial contamination because it is usually consumed raw. In this study, we investigated the changes in the bacterial community on lettuce (Lactuca sativa L.) in Chungcheong-do, South Korea, and the prevalence of foodborne pathogens on lettuce in different seasons using 16S rRNA gene-based sequencing. Our data revealed that the Shannon diversity index showed the same tendency in term of the number of OTUs, with the index being greatest for summer samples in comparison to other seasons. Moreover, the microbial communities were significantly different between the four seasons. The relative abundance of Actinobacteriota varied according to the season. Family Micrococcaceae was most dominant in all samples except summer, and Rhizobiaceae was predominant in the microbiome of the summer sample. At the genus level, the relative abundance of Bacillus was greatest in spring samples, whereas Pseudomonas was greatest in winter samples. Potential pathogens, such as Staphylococcus and Clostridium, were detected with low relative abundance in all lettuce samples. We also performed metagenome shotgun sequencing analysis on the selected summer and winter samples, which were expected to be contaminated with foodborne pathogens, to support 16S rRNA gene-based sequencing dataset. Moreover, we could detect seasonal biomarkers and microbial association networks of microbiota on lettuce samples. Our results suggest that seasonal characteristics of lettuce microbial communities, which include diverse potential pathogens, can be used as basic data for food safety management to predict and prevent future outbreaks.
Kim Jungeun,Seo Changon,Kwon Jingwan,Kim Woojung,Kim Jinkyu 건강기능식품미래포럼 2021 건강기능식품미래포럼 학술지 Vol.1 No.3
A simple and reliable analytical method using high-performance liquid chromatography–ultraviolet detection was established for the analysis of Matricaria chamomilla (MC) flower extract. Apigenin-7-O-glucoside (AP7G) was chosen as a target analyte considering its useful medicinal properties and high content in the MC extract. Chromatographic separation and identification of AP7G was achieved by using a Capcell Pak MGII C18 (250 × 4.6 mm, 5 um) with a mobile phase of 20% acetonitrile in an aqueous 0.05% (v/v) trifluoroacetic acid solution at a flow rate of 1.0 mL/min. The detection wavelength and column temperature were 330 nm and 30°C, respectively. The method was validated according to the guidelines of the International Conference on Harmonization (ICH) and the Association of Official Analytical Chemists (AOAC) and was found to meet the requirements thereof, that is: linearity (R2 = 0.99936 for 6.25–18.75 mg/mL), precision (≤ 2% relative standard deviation), and accuracy (98.29%–100.18%). The limits of detection and quantification were 0.57 and 1.73 mg of the extract/mL, respectively. Thus, it is concluded that the developed method is applicable for the quantitative analysis of AP7G in the extract of MC.