Fangfang Zhan , Tian Wang , Linda Iradukunda , Jiasui Zhan
{"title":"基于金纳米颗粒的横向流动生物传感器用于马铃薯晚疫病病菌疫霉的灵敏视觉检测","authors":"Fangfang Zhan , Tian Wang , Linda Iradukunda , Jiasui Zhan","doi":"10.1016/j.aca.2018.06.083","DOIUrl":null,"url":null,"abstract":"<div><p><span><span>Phytophthora infestans</span><em>,</em></span> the causal agent of late blight in potatoes and tomatoes, is the most important and ongoing pathogenic threat to agricultural production worldwide. Rapid and early identification of <em>P. infestans</em> is an essential prerequisite for countering the further spread of infection. In this study, a novel method for visual detection of <em>P. infestans</em><span> has been developed by integrating universal primer mediated asymmetric PCR<span><span> with gold nanoparticle<span> (AuNP)-based lateral flow biosensor. We employed asymmetric PCR to generate large amounts of single-stranded </span></span>DNA (ssDNA) by amplifying a region of </span></span><em>P. infestans</em><span>-specific repetitive DNA sequence<span>. The ssDNA products were then applied to the lateral flow biosensor to perform a visual detection using sandwich-type hybridization assays. In the presence of target DNA, sandwich-type hybridization reactions among the AuNP–probe, target DNA and capture probe were performed on the test line of the biosensor, and then a characteristic red band was produced for the accumulation of AuNPs. Quantitative analysis obtained by recording the optical intensity of the red band demonstrated that this biosensor could detect as little as 0.1 pg μL</span></span><sup>−1</sup> genomic DNA. Furthermore, the specificity of the biosensor was confirmed by detecting three other <em>Phytophthora</em> species and two pathogenic fungi. We believe this method has potential application in early prediction of potato late blight disease and instigation of management actions to reduce the risk of epidemic development.</p></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1036 ","pages":"Pages 153-161"},"PeriodicalIF":5.7000,"publicationDate":"2018-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.aca.2018.06.083","citationCount":"39","resultStr":"{\"title\":\"A gold nanoparticle-based lateral flow biosensor for sensitive visual detection of the potato late blight pathogen, Phytophthora infestans\",\"authors\":\"Fangfang Zhan , Tian Wang , Linda Iradukunda , Jiasui Zhan\",\"doi\":\"10.1016/j.aca.2018.06.083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span><span>Phytophthora infestans</span><em>,</em></span> the causal agent of late blight in potatoes and tomatoes, is the most important and ongoing pathogenic threat to agricultural production worldwide. Rapid and early identification of <em>P. infestans</em> is an essential prerequisite for countering the further spread of infection. In this study, a novel method for visual detection of <em>P. infestans</em><span> has been developed by integrating universal primer mediated asymmetric PCR<span><span> with gold nanoparticle<span> (AuNP)-based lateral flow biosensor. We employed asymmetric PCR to generate large amounts of single-stranded </span></span>DNA (ssDNA) by amplifying a region of </span></span><em>P. infestans</em><span>-specific repetitive DNA sequence<span>. The ssDNA products were then applied to the lateral flow biosensor to perform a visual detection using sandwich-type hybridization assays. In the presence of target DNA, sandwich-type hybridization reactions among the AuNP–probe, target DNA and capture probe were performed on the test line of the biosensor, and then a characteristic red band was produced for the accumulation of AuNPs. Quantitative analysis obtained by recording the optical intensity of the red band demonstrated that this biosensor could detect as little as 0.1 pg μL</span></span><sup>−1</sup> genomic DNA. Furthermore, the specificity of the biosensor was confirmed by detecting three other <em>Phytophthora</em> species and two pathogenic fungi. We believe this method has potential application in early prediction of potato late blight disease and instigation of management actions to reduce the risk of epidemic development.</p></div>\",\"PeriodicalId\":240,\"journal\":{\"name\":\"Analytica Chimica Acta\",\"volume\":\"1036 \",\"pages\":\"Pages 153-161\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2018-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.aca.2018.06.083\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analytica Chimica Acta\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0003267018308493\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytica Chimica Acta","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0003267018308493","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
A gold nanoparticle-based lateral flow biosensor for sensitive visual detection of the potato late blight pathogen, Phytophthora infestans
Phytophthora infestans, the causal agent of late blight in potatoes and tomatoes, is the most important and ongoing pathogenic threat to agricultural production worldwide. Rapid and early identification of P. infestans is an essential prerequisite for countering the further spread of infection. In this study, a novel method for visual detection of P. infestans has been developed by integrating universal primer mediated asymmetric PCR with gold nanoparticle (AuNP)-based lateral flow biosensor. We employed asymmetric PCR to generate large amounts of single-stranded DNA (ssDNA) by amplifying a region of P. infestans-specific repetitive DNA sequence. The ssDNA products were then applied to the lateral flow biosensor to perform a visual detection using sandwich-type hybridization assays. In the presence of target DNA, sandwich-type hybridization reactions among the AuNP–probe, target DNA and capture probe were performed on the test line of the biosensor, and then a characteristic red band was produced for the accumulation of AuNPs. Quantitative analysis obtained by recording the optical intensity of the red band demonstrated that this biosensor could detect as little as 0.1 pg μL−1 genomic DNA. Furthermore, the specificity of the biosensor was confirmed by detecting three other Phytophthora species and two pathogenic fungi. We believe this method has potential application in early prediction of potato late blight disease and instigation of management actions to reduce the risk of epidemic development.
期刊介绍:
Analytica Chimica Acta has an open access mirror journal Analytica Chimica Acta: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
Analytica Chimica Acta provides a forum for the rapid publication of original research, and critical, comprehensive reviews dealing with all aspects of fundamental and applied modern analytical chemistry. The journal welcomes the submission of research papers which report studies concerning the development of new and significant analytical methodologies. In determining the suitability of submitted articles for publication, particular scrutiny will be placed on the degree of novelty and impact of the research and the extent to which it adds to the existing body of knowledge in analytical chemistry.