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基于肽核酸的微珠芯片技术用于检测蜡样芽胞杆菌。

Development of peptide nucleic acid-based bead array technology for Bacillus cereus detection.

机构信息

National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani, Thailand, 12120.

Department of Chemistry, Faculty of Science, Chulalongkorn University, Phayathai Rd., Pathumwan, Bangkok, Thailand, 10330.

出版信息

Sci Rep. 2023 Aug 1;13(1):12482. doi: 10.1038/s41598-023-38877-1.

Abstract

Numerous novel methods to detect foodborne pathogens have been extensively developed to ensure food safety. Among the important foodborne bacteria, Bacillus cereus was identified as a pathogen of concern that causes various food illnesses, leading to interest in developing effective detection methods for this pathogen. Although a standard method based on culturing and biochemical confirmative test is available, it is time- and labor-intensive. Alternative PCR-based methods have been developed but lack high-throughput capacity and ease of use. This study, therefore, attempts to develop a robust method for B. cereus detection by leveraging the highly specific pyrrolidinyl peptide nucleic acids (PNAs) as probes for a bead array method with multiplex and high-throughput capacity. In this study, PNAs bearing prolyl-2-aminocyclopentanecarboxylic acid (ACPC) backbone with groEL, motB, and 16S rRNA sequences were covalently coupled with three sets of fluorescently barcoded beads to detect the three B. cereus genes. The developed acpcPNA-based bead array exhibited good selectivity where only signals were detectable in the presence of B. cereus, but not for other species. The sensitivity of this acpcPNA-based bead assay in detecting genomic DNA was found to be 0.038, 0.183 and 0.179 ng for groEL, motB and 16S rRNA, respectively. This performance was clearly superior to its DNA counterpart, hence confirming much stronger binding strength of acpcPNA over DNA. The robustness of the developed method was further demonstrated by testing artificially spiked milk and pickled mustard greens with minimal interference from food metrices. Hence, this proof-of-concept acpcPNA-based bead array method has been proven to serve as an effective alternative nucleic acid-based method for foodborne pathogens.

摘要

已经开发了许多新的方法来检测食源性病原体,以确保食品安全。在重要的食源性细菌中,蜡样芽胞杆菌被确定为引起各种食源性疾病的关注病原体,因此人们对开发这种病原体的有效检测方法产生了兴趣。虽然有基于培养和生化确认试验的标准方法,但该方法既费时又费力。已经开发了替代的基于 PCR 的方法,但缺乏高通量能力和易用性。因此,本研究试图通过利用高度特异性的吡咯烷二羧酸核酸(PNA)作为探针,开发一种用于珠子阵列方法的稳健方法,该方法具有多重和高通量能力。在本研究中,带有脯氨酰-2-氨基环戊烷羧酸(ACPC)骨架的 PNAs 与 groEL、motB 和 16S rRNA 序列共价偶联到三组荧光编码珠上来检测三种蜡样芽胞杆菌基因。所开发的基于 acpcPNA 的珠子阵列表现出良好的选择性,只有在存在蜡样芽胞杆菌的情况下才能检测到信号,而不是其他物种。发现基于 acpcPNA 的珠子测定法检测基因组 DNA 的灵敏度分别为 groEL、motB 和 16S rRNA 的 0.038、0.183 和 0.179 ng。该性能明显优于其 DNA 对应物,因此证实了 acpcPNA 与 DNA 相比具有更强的结合强度。通过测试人工添加到牛奶和腌制芥菜中的污染,并最小化食品基质的干扰,进一步证明了该方法的稳健性。因此,这种基于 acpcPNA 的概念验证珠子阵列方法已被证明是一种有效的替代食源性病原体的核酸方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d94f/10393979/b8721449d088/41598_2023_38877_Fig1_HTML.jpg

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