Article(id=1194684379139117085, tenantId=1146029695717560320, journalId=1192105938417971205, issueId=1194684377813717012, articleNumber=null, orderNo=null, doi=10.13343/j.cnki.wsxb.20250298, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1744214400000, receivedDateStr=2025-04-10, revisedDate=null, revisedDateStr=null, acceptedDate=1748880000000, acceptedDateStr=2025-06-03, onlineDate=1762764552149, onlineDateStr=2025-11-10, pubDate=1762185600000, pubDateStr=2025-11-04, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1762764552149, onlineIssueDateStr=2025-11-10, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1762764552149, creator=13701087609, updateTime=1762764552149, updator=13701087609, issue=Issue{id=1194684377813717012, tenantId=1146029695717560320, journalId=1192105938417971205, year='2025', volume='65', issue='11', pageStart='4721', pageEnd='5182', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1762764551833, creator=13701087609, updateTime=1762764551833, updator=13701087609, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=5172, endPage=5182, ext={EN=ArticleExt(id=1194684379361415200, articleId=1194684379139117085, tenantId=1146029695717560320, journalId=1192105938417971205, language=EN, title=Development and evaluation of a numerical identification kit for
Pseudomonas species, columnId=1194702985843413943, journalTitle=Acta Microbiologica Sinica, columnName=Technology and Method, runingTitle=null, highlight=null, articleAbstract=
Objective Bacteria of Pseudomonas are the main cause of food-borne and clinical infections. At present, mass spectrometry and 16S rRNA gene are widely used to identify Pseudomonas, while the facilities relied on are expensive and require cumbersome operation. Internationally, the numerical identification products require manual single-sample loading procedures, which are cumbersome. This study aims to develop a numerical identification kit for Pseudomonas with high accuracy and simple operation. Methods On the basis of the existing biochemical reaction data of Pseudomonas, we developed a numerical identification model via the branching diagram method and designed and optimized 11 biochemical matrix formulas for microquantization. We then used the kit to identify the standard strains and isolates of Pseudomonas and compared the results with those from mass spectrometry and PCR to evaluate the performance of the kit. Results A numerical identification kit was developed, and it was capable of identifying 10 species of Pseudomonas with just one sample addition. The accuracy rate of the kit in the identification for 5 standard strains and 135 isolates reached 97.04%, and the accuracy rate in actual samples was 97.74%. The biochemical test was stable and reproducible, and the identification cost (25 CNY/sample) of the kit was only 10% of that (240 CNY/sample) of the comparable product from bioMérieux (France). Conclusion The numerical identification kit developed in this study for Pseudomonas has simple operation, a low price, and high accuracy, which can be used in clinical diagnosis and food detection.
, correspAuthors=Yuwei WU, Qinghua YE, authorNote=null, correspAuthorsNote=
, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Xiaozheng ZHENG, Xinyu ZHAO, Qiang WAN, Qingping WU, Wenjie WEI, Jian SUN, Yingwang YE, Yuwei WU, Qinghua YE), CN=ArticleExt(id=1194684553131430111, articleId=1194684379139117085, tenantId=1146029695717560320, journalId=1192105938417971205, language=CN, title=假单胞菌属细菌数值鉴定试剂盒的研制与评价, columnId=1194702986061517752, journalTitle=微生物学报, columnName=技术与方法, runingTitle=null, highlight=null, articleAbstract=
目的 假单胞菌属(Pseudomonas)细菌是主要致病菌。目前,基于质谱、16S rRNA基因测序等常用鉴定方法所需的仪器昂贵,且国际上数值鉴定产品需人工单一加样,操作繁琐。因此,亟需构建一款鉴定准确率高、操作简便的假单胞菌鉴定试剂盒。 方法 汇集现有假单胞菌属生化反应数据,采用分支图法构建数值鉴定模型,设计并优化筛选出的11种生化基质微量化配方;以质谱和PCR为参照方法,对所建立试剂盒鉴定假单胞菌标准株和分离株的结果进行评价。 结果 成功研制出仅需一次加样即可鉴别假单胞菌属10个种的数值鉴定试剂盒。该试剂盒对5个标准菌株和135个分离菌株的鉴定准确率达到97.04%,在实际样本中的鉴定准确率为97.74%,生化试验稳定且可重复,鉴定成本(25元/样品)仅为法国梅里埃公司同类产品(240元/样本)的10%。 结论 本研究开发的假单胞菌属数值鉴定试剂盒操作简便、价格低廉、准确率高,可应用于临床诊断和食品检测。
, correspAuthors=吴毓薇, 叶青华, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=SEg/LGW3A6035r0DQHaeNA==, magXml=muMYSMmP/SOtV3JHnw8IBg==, pdfUrl=null, pdf=05EAJSSzLIQNZKjGZ+N4zw==, pdfFileSize=1319327, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=vZwU87ILCaWrHSde4nsk+Q==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=GDl2kizmwuD8c93POLQRfQ==, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=郑晓峥, 赵昕宇, 万强, 吴清平, 魏文杰, 孙健, 叶应旺, 吴毓薇, 叶青华)}, authors=[Author(id=1194980184349721561, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1194980184433607644, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, authorId=1194980184349721561, language=EN, stringName=Xiaozheng ZHENG, firstName=Xiaozheng, middleName=null, lastName=ZHENG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, 2, address=1 School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, China
2 State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Safety and Health, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Key Laboratory of Food Microbial Safety Big Data Technology (State Administration for Market Regulation), Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1194980184488133597, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, authorId=1194980184349721561, language=CN, stringName=郑晓峥, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, 2, address=1 合肥工业大学 食品与生物工程学院,安徽 合肥
2 广东省科学院微生物研究所,华南应用微生物国家重点实验室,广东省微生物安全与健康重点实验室,国家卫健委微生物食品营养与安全科技创新平台,国家市场监督管理总局重点实验室(食品微生物安全大数据技术),广东 广州, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1194980184110646221, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, xref=null, ext=[AuthorCompanyExt(id=1194980184114840526, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184110646221, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1 School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, China), AuthorCompanyExt(id=1194980184127423439, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184110646221, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1 合肥工业大学 食品与生物工程学院,安徽 合肥)]), AuthorCompany(id=1194980184177755088, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, xref=null, ext=[AuthorCompanyExt(id=1194980184198726609, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184177755088, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2 State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Safety and Health, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Key Laboratory of Food Microbial Safety Big Data Technology (State Administration for Market Regulation), Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China), AuthorCompanyExt(id=1194980184215503826, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184177755088, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2 广东省科学院微生物研究所,华南应用微生物国家重点实验室,广东省微生物安全与健康重点实验室,国家卫健委微生物食品营养与安全科技创新平台,国家市场监督管理总局重点实验室(食品微生物安全大数据技术),广东 广州)])]), Author(id=1194980184546853855, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, orderNo=1, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1194980184618157025, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, authorId=1194980184546853855, language=EN, stringName=Xinyu ZHAO, firstName=Xinyu, middleName=null, lastName=ZHAO, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
2, address=2 State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Safety and Health, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Key Laboratory of Food Microbial Safety Big Data Technology (State Administration for Market Regulation), Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1194980184664294370, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, authorId=1194980184546853855, language=CN, stringName=赵昕宇, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
2, address=2 广东省科学院微生物研究所,华南应用微生物国家重点实验室,广东省微生物安全与健康重点实验室,国家卫健委微生物食品营养与安全科技创新平台,国家市场监督管理总局重点实验室(食品微生物安全大数据技术),广东 广州, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1194980184177755088, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, xref=null, ext=[AuthorCompanyExt(id=1194980184198726609, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184177755088, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2 State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Safety and Health, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Key Laboratory of Food Microbial Safety Big Data Technology (State Administration for Market Regulation), Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China), AuthorCompanyExt(id=1194980184215503826, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184177755088, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2 广东省科学院微生物研究所,华南应用微生物国家重点实验室,广东省微生物安全与健康重点实验室,国家卫健委微生物食品营养与安全科技创新平台,国家市场监督管理总局重点实验室(食品微生物安全大数据技术),广东 广州)])]), Author(id=1194980184718820324, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, orderNo=2, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1194980184769151974, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, authorId=1194980184718820324, language=EN, stringName=Qiang WAN, firstName=Qiang, middleName=null, lastName=WAN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
3, address=3 Guangdong Huankai Biotechnology Co. , Ltd. , Zhaoqing, Guangdong, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1194980184823677927, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, authorId=1194980184718820324, language=CN, stringName=万强, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
3, address=3 广东环凯生物科技有限公司,广东 肇庆, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1194980184278418388, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, xref=null, ext=[AuthorCompanyExt(id=1194980184286806997, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184278418388, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=3 Guangdong Huankai Biotechnology Co. , Ltd. , Zhaoqing, Guangdong, China), AuthorCompanyExt(id=1194980184291001302, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184278418388, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=3 广东环凯生物科技有限公司,广东 肇庆)])]), Author(id=1194980184911758313, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, orderNo=3, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1194980184987255788, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, authorId=1194980184911758313, language=EN, stringName=Qingping WU, firstName=Qingping, middleName=null, lastName=WU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, 2, address=1 School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, China
2 State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Safety and Health, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Key Laboratory of Food Microbial Safety Big Data Technology (State Administration for Market Regulation), Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1194980185075336173, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, authorId=1194980184911758313, language=CN, stringName=吴清平, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, 2, address=1 合肥工业大学 食品与生物工程学院,安徽 合肥
2 广东省科学院微生物研究所,华南应用微生物国家重点实验室,广东省微生物安全与健康重点实验室,国家卫健委微生物食品营养与安全科技创新平台,国家市场监督管理总局重点实验室(食品微生物安全大数据技术),广东 广州, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1194980184110646221, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, xref=null, ext=[AuthorCompanyExt(id=1194980184114840526, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184110646221, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1 School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, China), AuthorCompanyExt(id=1194980184127423439, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184110646221, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1 合肥工业大学 食品与生物工程学院,安徽 合肥)]), AuthorCompany(id=1194980184177755088, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, xref=null, ext=[AuthorCompanyExt(id=1194980184198726609, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184177755088, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2 State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Safety and Health, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Key Laboratory of Food Microbial Safety Big Data Technology (State Administration for Market Regulation), Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China), AuthorCompanyExt(id=1194980184215503826, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184177755088, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2 广东省科学院微生物研究所,华南应用微生物国家重点实验室,广东省微生物安全与健康重点实验室,国家卫健委微生物食品营养与安全科技创新平台,国家市场监督管理总局重点实验室(食品微生物安全大数据技术),广东 广州)])]), Author(id=1194980185146639343, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, orderNo=4, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1194980185222136818, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, authorId=1194980185146639343, language=EN, stringName=Wenjie WEI, firstName=Wenjie, middleName=null, lastName=WEI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, 2, address=1 School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, China
2 State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Safety and Health, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Key Laboratory of Food Microbial Safety Big Data Technology (State Administration for Market Regulation), Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1194980185285051379, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, authorId=1194980185146639343, language=CN, stringName=魏文杰, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, 2, address=1 合肥工业大学 食品与生物工程学院,安徽 合肥
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China Medical Device Information,
2021,
27(15): 38, 108 (in Chinese)., articleTitle=null, refAbstract=null)], funds=[Fund(id=1194980189064118302, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, awardId=2022YFF1100700, language=EN, fundingSource=National Key Research and Development Program of China(2022YFF1100700), fundOrder=null, country=null), Fund(id=1194980189173170207, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, awardId=2022YFF1100700, language=CN, fundingSource=国家重点研发项目(2022YFF1100700), fundOrder=null, country=null), Fund(id=1194980189273833504, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, awardId=2022YFF1101102, language=CN, fundingSource=国家重点研发项目(2022YFF1101102), fundOrder=null, country=null), Fund(id=1194980189370302497, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, awardId=2022B1515020068, language=EN, fundingSource=Outstanding Youth Project of the Natural Science Foundation of Guangdong Province(2022B1515020068), fundOrder=null, country=null), Fund(id=1194980189437411362, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, awardId=2022B1515020068, language=CN, fundingSource=广东省自然科学基金杰出青年项目(2022B1515020068), fundOrder=null, country=null), Fund(id=1194980189529686051, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, awardId=2023GDASQNRC-0102, language=EN, fundingSource=Talent Project of Guangdong Academy of Sciences(2023GDASQNRC-0102), fundOrder=null, country=null), Fund(id=1194980189592600612, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, awardId=2023GDASQNRC-0102, language=CN, fundingSource=广东省科学院人才项目(2023GDASQNRC-0102), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1194980184110646221, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, xref=null, ext=[AuthorCompanyExt(id=1194980184114840526, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184110646221, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1 School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, China), AuthorCompanyExt(id=1194980184127423439, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184110646221, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1 合肥工业大学 食品与生物工程学院,安徽 合肥)]), AuthorCompany(id=1194980184177755088, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, xref=null, ext=[AuthorCompanyExt(id=1194980184198726609, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184177755088, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2 State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Safety and Health, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Key Laboratory of Food Microbial Safety Big Data Technology (State Administration for Market Regulation), Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China), AuthorCompanyExt(id=1194980184215503826, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184177755088, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2 广东省科学院微生物研究所,华南应用微生物国家重点实验室,广东省微生物安全与健康重点实验室,国家卫健委微生物食品营养与安全科技创新平台,国家市场监督管理总局重点实验室(食品微生物安全大数据技术),广东 广州)]), AuthorCompany(id=1194980184278418388, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, xref=null, ext=[AuthorCompanyExt(id=1194980184286806997, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184278418388, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=3 Guangdong Huankai Biotechnology Co. , Ltd. , Zhaoqing, Guangdong, China), AuthorCompanyExt(id=1194980184291001302, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, companyId=1194980184278418388, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=3 广东环凯生物科技有限公司,广东 肇庆)])], figs=[ArticleFig(id=1194980186815971342, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=EN, label=Figure 1, caption=
Optimization of the PAUX medium formula. Test strain: Pseudomonas chlororaphis FSCC (206249). A: The test results of Hutner’s basal medium without a carbon source were all positive; B: The test results of sugar fermentation basal medium without a carbon source were all positive; C: The test results of PAUX medium conformed to the Pseudomonas-positive probability database., figureFileSmall=rxj00wQK30QetbbEbo3qAg==, figureFileBig=PsLKuuvfzvCGc3xQkDX0XQ==, tableContent=null), ArticleFig(id=1194980186857914383, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=CN, label=图1, caption=
PAUX培养基配方的优化结果。测试菌株为绿针假单胞菌FSCC (206249)。A:休式基础无碳源培养基测试结果均为阳性;B:糖发酵基础无碳源培养基测试结果均为阳性;C:PAUX培养基测试结果符合假单胞菌阳性概率数据库。, figureFileSmall=rxj00wQK30QetbbEbo3qAg==, figureFileBig=PsLKuuvfzvCGc3xQkDX0XQ==, tableContent=null), ArticleFig(id=1194980186925023248, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=EN, label=Table 1, caption=
Database for numerical identification of Pseudomonas species
, figureFileSmall=null, figureFileBig=null, tableContent=
| Strains | GLUa | ARAa | TREa | MNEa | INOa | MANa | NAGa | FRUa | MALa | SORa | STAa |
|---|
| P. aeruginosa | 99 | 0 | 54 | 0 | 0 | 88 | 83 | 99 | 0 | 0 | 0 |
| P. putida | 99 | 60 | 5 | 97 | 2 | 1 | 1 | 99 | 1 | 1 | 0 |
| P. koreensis | 98 | 97 | 60 | 97 | 3 | 95 | 90 | 98 | 1 | 2 | 1 |
| P. mosselii | 98 | 0 | 0 | 99 | 1 | 93 | 96 | 98 | 1 | 1 | 1 |
| P. taiwanensis | 99 | 0 | 0 | 0 | 0 | 0 | 0 | 99 | 0 | 0 | 1 |
| P. oleovorans | 2 | 1 | 2 | 1 | 2 | 1 | 2 | 1 | 2 | 1 | 1 |
| P. fluorescens | 99 | 70 | 98 | 97 | 99 | 99 | 99 | 99 | 2 | 99 | 1 |
| P. chlororaphis | 96 | 60 | 97 | 98 | 99 | 99 | 98 | 99 | 1 | 2 | 0 |
| P. stutzeri | 98 | 0 | 0 | 0 | 0 | 98 | 3 | 99 | 97 | 0 | 93 |
| P. mendocina | 97 | 1 | 2 | 1 | 1 | 99 | 1 | 99 | 0 | 0 | 0 |
), ArticleFig(id=1194980186987937809, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=CN, label=表1, caption=
假单胞菌属菌种数值鉴定数据库
, figureFileSmall=null, figureFileBig=null, tableContent=
| Strains | GLUa | ARAa | TREa | MNEa | INOa | MANa | NAGa | FRUa | MALa | SORa | STAa |
|---|
| P. aeruginosa | 99 | 0 | 54 | 0 | 0 | 88 | 83 | 99 | 0 | 0 | 0 |
| P. putida | 99 | 60 | 5 | 97 | 2 | 1 | 1 | 99 | 1 | 1 | 0 |
| P. koreensis | 98 | 97 | 60 | 97 | 3 | 95 | 90 | 98 | 1 | 2 | 1 |
| P. mosselii | 98 | 0 | 0 | 99 | 1 | 93 | 96 | 98 | 1 | 1 | 1 |
| P. taiwanensis | 99 | 0 | 0 | 0 | 0 | 0 | 0 | 99 | 0 | 0 | 1 |
| P. oleovorans | 2 | 1 | 2 | 1 | 2 | 1 | 2 | 1 | 2 | 1 | 1 |
| P. fluorescens | 99 | 70 | 98 | 97 | 99 | 99 | 99 | 99 | 2 | 99 | 1 |
| P. chlororaphis | 96 | 60 | 97 | 98 | 99 | 99 | 98 | 99 | 1 | 2 | 0 |
| P. stutzeri | 98 | 0 | 0 | 0 | 0 | 98 | 3 | 99 | 97 | 0 | 93 |
| P. mendocina | 97 | 1 | 2 | 1 | 1 | 99 | 1 | 99 | 0 | 0 | 0 |
), ArticleFig(id=1194980187046658066, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=EN, label=Table 2, caption=
Examples of numerical identification of Pseudomonas bacteria
, figureFileSmall=null, figureFileBig=null, tableContent=
| Strains | Test a | Test b | Test c |
|---|
| Pseudomonas 1 | 96 | 98 | 6 |
| Pseudomonas 2 | 90 | 5 | 94 |
| Pseudomonas 3 | 4 | 86 | 90 |
| Test strain | + | + | - |
), ArticleFig(id=1194980188095234067, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=CN, label=表2, caption=
假单胞菌待测菌数值鉴定计算方法举例
, figureFileSmall=null, figureFileBig=null, tableContent=
| Strains | Test a | Test b | Test c |
|---|
| Pseudomonas 1 | 96 | 98 | 6 |
| Pseudomonas 2 | 90 | 5 | 94 |
| Pseudomonas 3 | 4 | 86 | 90 |
| Test strain | + | + | - |
), ArticleFig(id=1194980188204285972, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=EN, label=Table 3, caption=
Evaluation of identification results
, figureFileSmall=null, figureFileBig=null, tableContent=
| ID value | T value | Result evaluation |
|---|
| ≥90% | ≥90% | Excellent identification |
| ≥90% | ≥50% | Very good identification |
| ≥80% | ≥60% | Very good identification |
| ≥90% | ≥20% | Good identification |
| ≥80% | ≥30% | Good identification |
| ≥70% | ≥40% | Good identification |
| ≥60% | ≥50% | Good identification |
| ≥90% | ≥0% | Acceptable identification |
| 90%≥ID value≥80% | ≥1% | Acceptable identification |
| 80%≥ID value≥60% | ≥10% | Acceptable identification |
| 90%≥ID value≥60% | ≥0.01% | Suspicious identification |
| <60% | ≥10% | Suspicious identification |
| <60% | <10% | Unacceptable identification |
| <90% | <0.01% | Unacceptable identification |
), ArticleFig(id=1194980188283977749, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=CN, label=表3, caption=
鉴定结果评价
, figureFileSmall=null, figureFileBig=null, tableContent=
| ID value | T value | Result evaluation |
|---|
| ≥90% | ≥90% | Excellent identification |
| ≥90% | ≥50% | Very good identification |
| ≥80% | ≥60% | Very good identification |
| ≥90% | ≥20% | Good identification |
| ≥80% | ≥30% | Good identification |
| ≥70% | ≥40% | Good identification |
| ≥60% | ≥50% | Good identification |
| ≥90% | ≥0% | Acceptable identification |
| 90%≥ID value≥80% | ≥1% | Acceptable identification |
| 80%≥ID value≥60% | ≥10% | Acceptable identification |
| 90%≥ID value≥60% | ≥0.01% | Suspicious identification |
| <60% | ≥10% | Suspicious identification |
| <60% | <10% | Unacceptable identification |
| <90% | <0.01% | Unacceptable identification |
), ArticleFig(id=1194980188384641046, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=EN, label=Table 4, caption=
Biochemical identification results of Pseudomonas standard strains
, figureFileSmall=null, figureFileBig=null, tableContent=
| Strains | GLUa | ARAa | TREa | MNEa | INOa | MANa | NAGa | FRUa | MALa | SORa | STAa |
|---|
| ATCC 25619 | + | - | + | - | - | + | + | + | - | - | - |
| GIM 1.46 | + | - | + | - | - | + | + | + | - | - | - |
| GIM 1.57 | + | + | - | + | - | - | - | + | - | - | - |
| CGMCC 1.1806 | - | - | - | - | - | - | - | - | - | - | - |
| ATCC 13525 | + | + | + | + | + | + | + | + | - | + | - |
), ArticleFig(id=1194980188468527127, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=CN, label=表4, caption=
假单胞菌标准株的生化鉴定结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| Strains | GLUa | ARAa | TREa | MNEa | INOa | MANa | NAGa | FRUa | MALa | SORa | STAa |
|---|
| ATCC 25619 | + | - | + | - | - | + | + | + | - | - | - |
| GIM 1.46 | + | - | + | - | - | + | + | + | - | - | - |
| GIM 1.57 | + | + | - | + | - | - | - | + | - | - | - |
| CGMCC 1.1806 | - | - | - | - | - | - | - | - | - | - | - |
| ATCC 13525 | + | + | + | + | + | + | + | + | - | + | - |
), ArticleFig(id=1194980188556607512, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=EN, label=Table 5, caption=
Results of numerical identification of standard strains of Pseudomonas
, figureFileSmall=null, figureFileBig=null, tableContent=
| Strains | Identification result | ID value (%) | T value (%) | Result evaluation |
|---|
| ATCC 25619 | P. aeruginosa | 99.91 | 100 | Excellent |
| GIM 1.46 | P. aeruginosa | 99.91 | 100 | Excellent |
| GIM 1.57 | P. putida | 99.92 | 100 | Excellent |
| ATCC 13525 | P. fluorescens | 99.18 | 100 | Excellent |
| CGMCC 1.1806 | P. oleovorans | 99.99 | 100 | Excellent |
), ArticleFig(id=1194980188636299289, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=CN, label=表5, caption=
假单胞菌标准株的数值鉴定法结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| Strains | Identification result | ID value (%) | T value (%) | Result evaluation |
|---|
| ATCC 25619 | P. aeruginosa | 99.91 | 100 | Excellent |
| GIM 1.46 | P. aeruginosa | 99.91 | 100 | Excellent |
| GIM 1.57 | P. putida | 99.92 | 100 | Excellent |
| ATCC 13525 | P. fluorescens | 99.18 | 100 | Excellent |
| CGMCC 1.1806 | P. oleovorans | 99.99 | 100 | Excellent |
), ArticleFig(id=1194980188699213850, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=EN, label=Table 6, caption=
Results of numerical identification of Pseudomonas isolates
, figureFileSmall=null, figureFileBig=null, tableContent=
| Strains | Type | Identification result | ID value (%) | T value (%) | Result evaluation | Number of strains | Consistency rate (%) |
|---|
| P. aeruginosa | Ⅰ | P. aeruginosa | 95.52 | 72.41 | Very good | 45 | 100.00 |
| P. aeruginosa | Ⅱ | P. aeruginosa | 99.93 | 100.00 | Excellent | 38 | 100.00 |
| P. aeruginosa | Ⅲ | P. aeruginosa | 89.52 | 31.03 | Good | 27 | 100.00 |
| P. aeruginosa | Ⅳ | P. aeruginosa | 99.91 | 42.86 | Good | 13 | 100.00 |
| P. aeruginosa | V | P. chlororaphis | 99.15 | 100.00 | Excellent | 3 | 0.00 |
| P. aeruginosa | Ⅵ | P. mosselii | 65.78 | 0.01 | Suspicious | 1 | 0.00 |
| P. stutzeri | Ⅰ | P. stutzeri | 99.99 | 100.00 | Excellent | 3 | 100.00 |
| P. stutzeri | Ⅱ | P. stutzeri | 90.14 | 0.01 | Acceptable | 1 | 100.00 |
| P. mendocina | Ⅰ | P. mendocina | 98.87 | 100.00 | Excellent | 3 | 100.00 |
| P. chlororaphis | Ⅰ | P. chlororaphis | 97.77 | 100.00 | Excellent | 1 | 100.00 |
| Total | 135 | 97.04 |
), ArticleFig(id=1194980188753739803, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=CN, label=表6, caption=
假单胞菌分离株的数值鉴定法结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| Strains | Type | Identification result | ID value (%) | T value (%) | Result evaluation | Number of strains | Consistency rate (%) |
|---|
| P. aeruginosa | Ⅰ | P. aeruginosa | 95.52 | 72.41 | Very good | 45 | 100.00 |
| P. aeruginosa | Ⅱ | P. aeruginosa | 99.93 | 100.00 | Excellent | 38 | 100.00 |
| P. aeruginosa | Ⅲ | P. aeruginosa | 89.52 | 31.03 | Good | 27 | 100.00 |
| P. aeruginosa | Ⅳ | P. aeruginosa | 99.91 | 42.86 | Good | 13 | 100.00 |
| P. aeruginosa | V | P. chlororaphis | 99.15 | 100.00 | Excellent | 3 | 0.00 |
| P. aeruginosa | Ⅵ | P. mosselii | 65.78 | 0.01 | Suspicious | 1 | 0.00 |
| P. stutzeri | Ⅰ | P. stutzeri | 99.99 | 100.00 | Excellent | 3 | 100.00 |
| P. stutzeri | Ⅱ | P. stutzeri | 90.14 | 0.01 | Acceptable | 1 | 100.00 |
| P. mendocina | Ⅰ | P. mendocina | 98.87 | 100.00 | Excellent | 3 | 100.00 |
| P. chlororaphis | Ⅰ | P. chlororaphis | 97.77 | 100.00 | Excellent | 1 | 100.00 |
| Total | 135 | 97.04 |
), ArticleFig(id=1194980188808265756, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=EN, label=Table 7, caption=
Results of numerical method for identification of Pseudomonas in soil samples
, figureFileSmall=null, figureFileBig=null, tableContent=
| Strains | Numerical identification | MS identification |
|---|
| Identification result | Type | ID value (%) | T value (%) | Result evaluation | Number of strains | Accuracy (%) | Identification result | Number of strains | Accuracy (%) |
|---|
| P. aeruginosa | P. aeruginosa | Ⅳ | 99.91 | 42.86 | Good | 1 | 100.00 | P. aeruginosa | 1 | 100.00 |
| P. putida | P. putida | Ⅰ | 97.32 | 66.67 | Very good | 69 | 100.00 | P. putida | 69 | 100.00 |
| P. putida | P. putida | Ⅱ | 99.92 | 100.00 | Excellent | 96 | 100.00 | P. putida | 96 | 100.00 |
| P. putida | P. mosselii | Ⅲ | 64.62 | 0.01 | Suspicious | 4 | 0.00 | P. putida | 4 | 100.00 |
| P. koreensis | P. koreensis | Ⅰ | 99.02 | 100.00 | Excellent | 23 | 100.00 | P. koreensis | 23 | 100.00 |
| P. koreensis | P. koreensis | Ⅱ | 97.26 | 66.67 | Very good | 30 | 100.00 | P. koreensis | 30 | 100.00 |
| P. koreensis | P. koreensis | Ⅲ | 86.52 | 0.67 | Suspicious | 2 | 0.00 | P. koreensis | 2 | 100.00 |
| P. mosselii | P. mosselii | Ⅰ | 99.41 | 100.00 | Excellent | 27 | 100.00 | P. mosselii | 27 | 100.00 |
| P. taiwanensis | P. taiwanensis | Ⅰ | 95.08 | 100.00 | Excellent | 9 | 100.00 | P. taiwanensis | 7 | 77.78 |
| P. fluorescens | P. fluorescens | Ⅰ | 99.18 | 100.00 | Excellent | 3 | 100.00 | P. fluorescens | 3 | 100.00 |
| P. oleovorans | P. oleovorans | Ⅰ | 99.99 | 100.00 | Excellent | 1 | 100.00 | P. oleovorans | 1 | 100.00 |
| Total | 265 | 97.74 | | 265 | 99.25 |
), ArticleFig(id=1194980188871180317, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1194684379139117085, language=CN, label=表7, caption=
土壤样品中假单胞菌数值鉴定法的结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| Strains | Numerical identification | MS identification |
|---|
| Identification result | Type | ID value (%) | T value (%) | Result evaluation | Number of strains | Accuracy (%) | Identification result | Number of strains | Accuracy (%) |
|---|
| P. aeruginosa | P. aeruginosa | Ⅳ | 99.91 | 42.86 | Good | 1 | 100.00 | P. aeruginosa | 1 | 100.00 |
| P. putida | P. putida | Ⅰ | 97.32 | 66.67 | Very good | 69 | 100.00 | P. putida | 69 | 100.00 |
| P. putida | P. putida | Ⅱ | 99.92 | 100.00 | Excellent | 96 | 100.00 | P. putida | 96 | 100.00 |
| P. putida | P. mosselii | Ⅲ | 64.62 | 0.01 | Suspicious | 4 | 0.00 | P. putida | 4 | 100.00 |
| P. koreensis | P. koreensis | Ⅰ | 99.02 | 100.00 | Excellent | 23 | 100.00 | P. koreensis | 23 | 100.00 |
| P. koreensis | P. koreensis | Ⅱ | 97.26 | 66.67 | Very good | 30 | 100.00 | P. koreensis | 30 | 100.00 |
| P. koreensis | P. koreensis | Ⅲ | 86.52 | 0.67 | Suspicious | 2 | 0.00 | P. koreensis | 2 | 100.00 |
| P. mosselii | P. mosselii | Ⅰ | 99.41 | 100.00 | Excellent | 27 | 100.00 | P. mosselii | 27 | 100.00 |
| P. taiwanensis | P. taiwanensis | Ⅰ | 95.08 | 100.00 | Excellent | 9 | 100.00 | P. taiwanensis | 7 | 77.78 |
| P. fluorescens | P. fluorescens | Ⅰ | 99.18 | 100.00 | Excellent | 3 | 100.00 | P. fluorescens | 3 | 100.00 |
| P. oleovorans | P. oleovorans | Ⅰ | 99.99 | 100.00 | Excellent | 1 | 100.00 | P. oleovorans | 1 | 100.00 |
| Total | 265 | 97.74 | | 265 | 99.25 |
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