Development of a Fast Raman-Assisted Antibiotic Susceptibility Test (FRAST) for the Antibiotic Resistance Analysis of Clinical Urine and Blood Samples
Human health is at great risk due to the spreading of antimicrobial resistance (AMR). The lengthy procedure of conventional antimicrobial susceptibility testing (AST) usually requires a few days. We developed a fast Raman-assisted antibiotic susceptibility test (FRAST), which detects single bacteria...
Gespeichert in:
Veröffentlicht in: | Analytical chemistry (Washington) 2021-03, Vol.93 (12), p.5098-5106 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 5106 |
---|---|
container_issue | 12 |
container_start_page | 5098 |
container_title | Analytical chemistry (Washington) |
container_volume | 93 |
creator | Yi, Xiaofei Song, Yizhi Xu, Xiaogang Peng, Di Wang, Jingkai Qie, Xingwang Lin, Kaicheng Yu, Miao Ge, Mingfeng Wang, Yun Zhang, Dayi Yang, Qiwen Wang, Minggui Huang, Wei E |
description | Human health is at great risk due to the spreading of antimicrobial resistance (AMR). The lengthy procedure of conventional antimicrobial susceptibility testing (AST) usually requires a few days. We developed a fast Raman-assisted antibiotic susceptibility test (FRAST), which detects single bacterial metabolic activity in the presence of antibiotics, using Raman single-cell spectroscopy. It was found that single-cell Raman spectra (SCRS) would show a clear and distinguishable Raman band at the “silent zone” (2000–2300 cm–1), due to the active incorporation of deuterium from heavy water (D2O) by antibiotic-resistant bacteria. This pilot study has compared the FRAST and the conventional AST for six clinical standard quality controls (four Gram-negative and two Gram-positive bacteria strains) in response to 38 antibiotics. In total, 3200 treatments have been carried out and approximately 64 000 SCRS have been acquired for FRAST analysis. The result showed an overall agreement of 88.0% between the FRAST and the conventional AST assay. The gram-staining classification based on the linear discriminant analysis (LDA) model of SCRS was developed, seamlessly coupling with the FRAST to further reduce the turnaround time. We applied the FRAST to real clinical analysis for nine urinary infectious samples and three sepsis samples. The results were consistent with MALDI-TOF identification and the conventional AST. Under the optimal conditions, the “sample to report” of the FRAST could be reduced to 3 h for urine samples and 21 h for sepsis samples. The FRAST provides fast and reliable susceptibility tests, which could speed up microbiological analysis for clinical practice and facilitate antibiotic stewardship. |
doi_str_mv | 10.1021/acs.analchem.0c04709 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2502212631</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2518421283</sourcerecordid><originalsourceid>FETCH-LOGICAL-a488t-eae0cea2c52d4e18061a7b2074a484ed33ffec4c9b21f76dd292f2ceb70ac35e3</originalsourceid><addsrcrecordid>eNp9kUGP0zAQhS0EYsvCP0DIEpflkDK208Q9lkIBaSWktnuOJs5E65VjhzhB6h_h9-Ko3RXiwMkaz_fe6Okx9lbAUoAUH9HEJXp05p66JRjIS1g_YwuxkpAVWsvnbAEAKpMlwBV7FeMDgBAgipfsSqlSar2GBfv9mX6RC31HfuSh5ch3GEe-xw59tonRxpEavvGjrW0YreGHKRrq59HZ8cSPlOib3X5zOH7gbRj4eE9_43uaLdCb-RfdKU3zma2z3hp0_G6wnjj6hn9yITT8gF3vKL5mL1p0kd5c3mt2t_ty3H7Lbn98_b7d3GaYaz1mhASGUJqVbHISGgqBZS2hzNM-p0aptiWTm3UtRVsWTSPXspWG6hLQqBWpa3Zz9u2H8HNKWarOpnzOoacwxUquQEohCyUS-v4f9CFMQ8o0U0LnCdMqUfmZMkOIcaC26gfb4XCqBFRzb1XqrXrsrbr0lmTvLuZT3VHzJHosKgFwBmb50-H_ev4Bqceosw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2518421283</pqid></control><display><type>article</type><title>Development of a Fast Raman-Assisted Antibiotic Susceptibility Test (FRAST) for the Antibiotic Resistance Analysis of Clinical Urine and Blood Samples</title><source>American Chemical Society Journals</source><creator>Yi, Xiaofei ; Song, Yizhi ; Xu, Xiaogang ; Peng, Di ; Wang, Jingkai ; Qie, Xingwang ; Lin, Kaicheng ; Yu, Miao ; Ge, Mingfeng ; Wang, Yun ; Zhang, Dayi ; Yang, Qiwen ; Wang, Minggui ; Huang, Wei E</creator><creatorcontrib>Yi, Xiaofei ; Song, Yizhi ; Xu, Xiaogang ; Peng, Di ; Wang, Jingkai ; Qie, Xingwang ; Lin, Kaicheng ; Yu, Miao ; Ge, Mingfeng ; Wang, Yun ; Zhang, Dayi ; Yang, Qiwen ; Wang, Minggui ; Huang, Wei E</creatorcontrib><description>Human health is at great risk due to the spreading of antimicrobial resistance (AMR). The lengthy procedure of conventional antimicrobial susceptibility testing (AST) usually requires a few days. We developed a fast Raman-assisted antibiotic susceptibility test (FRAST), which detects single bacterial metabolic activity in the presence of antibiotics, using Raman single-cell spectroscopy. It was found that single-cell Raman spectra (SCRS) would show a clear and distinguishable Raman band at the “silent zone” (2000–2300 cm–1), due to the active incorporation of deuterium from heavy water (D2O) by antibiotic-resistant bacteria. This pilot study has compared the FRAST and the conventional AST for six clinical standard quality controls (four Gram-negative and two Gram-positive bacteria strains) in response to 38 antibiotics. In total, 3200 treatments have been carried out and approximately 64 000 SCRS have been acquired for FRAST analysis. The result showed an overall agreement of 88.0% between the FRAST and the conventional AST assay. The gram-staining classification based on the linear discriminant analysis (LDA) model of SCRS was developed, seamlessly coupling with the FRAST to further reduce the turnaround time. We applied the FRAST to real clinical analysis for nine urinary infectious samples and three sepsis samples. The results were consistent with MALDI-TOF identification and the conventional AST. Under the optimal conditions, the “sample to report” of the FRAST could be reduced to 3 h for urine samples and 21 h for sepsis samples. The FRAST provides fast and reliable susceptibility tests, which could speed up microbiological analysis for clinical practice and facilitate antibiotic stewardship.</description><identifier>ISSN: 0003-2700</identifier><identifier>EISSN: 1520-6882</identifier><identifier>DOI: 10.1021/acs.analchem.0c04709</identifier><identifier>PMID: 33728890</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Antibiotic resistance ; Antibiotics ; Antimicrobial agents ; Antimicrobial resistance ; Bacteria ; Chemistry ; Deuterium ; Discriminant analysis ; Gram-positive bacteria ; Health risks ; Heavy water ; Microbiological analysis ; Raman spectra ; Raman spectroscopy ; Sepsis ; Spectrum analysis ; Susceptibility</subject><ispartof>Analytical chemistry (Washington), 2021-03, Vol.93 (12), p.5098-5106</ispartof><rights>2021 The Authors. Published by American Chemical Society</rights><rights>Copyright American Chemical Society Mar 30, 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a488t-eae0cea2c52d4e18061a7b2074a484ed33ffec4c9b21f76dd292f2ceb70ac35e3</citedby><cites>FETCH-LOGICAL-a488t-eae0cea2c52d4e18061a7b2074a484ed33ffec4c9b21f76dd292f2ceb70ac35e3</cites><orcidid>0000-0002-3005-382X ; 0000-0002-4175-5982 ; 0000-0003-1302-6528</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.analchem.0c04709$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.analchem.0c04709$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,780,784,2765,27076,27924,27925,56738,56788</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33728890$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yi, Xiaofei</creatorcontrib><creatorcontrib>Song, Yizhi</creatorcontrib><creatorcontrib>Xu, Xiaogang</creatorcontrib><creatorcontrib>Peng, Di</creatorcontrib><creatorcontrib>Wang, Jingkai</creatorcontrib><creatorcontrib>Qie, Xingwang</creatorcontrib><creatorcontrib>Lin, Kaicheng</creatorcontrib><creatorcontrib>Yu, Miao</creatorcontrib><creatorcontrib>Ge, Mingfeng</creatorcontrib><creatorcontrib>Wang, Yun</creatorcontrib><creatorcontrib>Zhang, Dayi</creatorcontrib><creatorcontrib>Yang, Qiwen</creatorcontrib><creatorcontrib>Wang, Minggui</creatorcontrib><creatorcontrib>Huang, Wei E</creatorcontrib><title>Development of a Fast Raman-Assisted Antibiotic Susceptibility Test (FRAST) for the Antibiotic Resistance Analysis of Clinical Urine and Blood Samples</title><title>Analytical chemistry (Washington)</title><addtitle>Anal. Chem</addtitle><description>Human health is at great risk due to the spreading of antimicrobial resistance (AMR). The lengthy procedure of conventional antimicrobial susceptibility testing (AST) usually requires a few days. We developed a fast Raman-assisted antibiotic susceptibility test (FRAST), which detects single bacterial metabolic activity in the presence of antibiotics, using Raman single-cell spectroscopy. It was found that single-cell Raman spectra (SCRS) would show a clear and distinguishable Raman band at the “silent zone” (2000–2300 cm–1), due to the active incorporation of deuterium from heavy water (D2O) by antibiotic-resistant bacteria. This pilot study has compared the FRAST and the conventional AST for six clinical standard quality controls (four Gram-negative and two Gram-positive bacteria strains) in response to 38 antibiotics. In total, 3200 treatments have been carried out and approximately 64 000 SCRS have been acquired for FRAST analysis. The result showed an overall agreement of 88.0% between the FRAST and the conventional AST assay. The gram-staining classification based on the linear discriminant analysis (LDA) model of SCRS was developed, seamlessly coupling with the FRAST to further reduce the turnaround time. We applied the FRAST to real clinical analysis for nine urinary infectious samples and three sepsis samples. The results were consistent with MALDI-TOF identification and the conventional AST. Under the optimal conditions, the “sample to report” of the FRAST could be reduced to 3 h for urine samples and 21 h for sepsis samples. The FRAST provides fast and reliable susceptibility tests, which could speed up microbiological analysis for clinical practice and facilitate antibiotic stewardship.</description><subject>Antibiotic resistance</subject><subject>Antibiotics</subject><subject>Antimicrobial agents</subject><subject>Antimicrobial resistance</subject><subject>Bacteria</subject><subject>Chemistry</subject><subject>Deuterium</subject><subject>Discriminant analysis</subject><subject>Gram-positive bacteria</subject><subject>Health risks</subject><subject>Heavy water</subject><subject>Microbiological analysis</subject><subject>Raman spectra</subject><subject>Raman spectroscopy</subject><subject>Sepsis</subject><subject>Spectrum analysis</subject><subject>Susceptibility</subject><issn>0003-2700</issn><issn>1520-6882</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kUGP0zAQhS0EYsvCP0DIEpflkDK208Q9lkIBaSWktnuOJs5E65VjhzhB6h_h9-Ko3RXiwMkaz_fe6Okx9lbAUoAUH9HEJXp05p66JRjIS1g_YwuxkpAVWsvnbAEAKpMlwBV7FeMDgBAgipfsSqlSar2GBfv9mX6RC31HfuSh5ch3GEe-xw59tonRxpEavvGjrW0YreGHKRrq59HZ8cSPlOib3X5zOH7gbRj4eE9_43uaLdCb-RfdKU3zma2z3hp0_G6wnjj6hn9yITT8gF3vKL5mL1p0kd5c3mt2t_ty3H7Lbn98_b7d3GaYaz1mhASGUJqVbHISGgqBZS2hzNM-p0aptiWTm3UtRVsWTSPXspWG6hLQqBWpa3Zz9u2H8HNKWarOpnzOoacwxUquQEohCyUS-v4f9CFMQ8o0U0LnCdMqUfmZMkOIcaC26gfb4XCqBFRzb1XqrXrsrbr0lmTvLuZT3VHzJHosKgFwBmb50-H_ev4Bqceosw</recordid><startdate>20210330</startdate><enddate>20210330</enddate><creator>Yi, Xiaofei</creator><creator>Song, Yizhi</creator><creator>Xu, Xiaogang</creator><creator>Peng, Di</creator><creator>Wang, Jingkai</creator><creator>Qie, Xingwang</creator><creator>Lin, Kaicheng</creator><creator>Yu, Miao</creator><creator>Ge, Mingfeng</creator><creator>Wang, Yun</creator><creator>Zhang, Dayi</creator><creator>Yang, Qiwen</creator><creator>Wang, Minggui</creator><creator>Huang, Wei E</creator><general>American Chemical Society</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TM</scope><scope>7U5</scope><scope>7U7</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3005-382X</orcidid><orcidid>https://orcid.org/0000-0002-4175-5982</orcidid><orcidid>https://orcid.org/0000-0003-1302-6528</orcidid></search><sort><creationdate>20210330</creationdate><title>Development of a Fast Raman-Assisted Antibiotic Susceptibility Test (FRAST) for the Antibiotic Resistance Analysis of Clinical Urine and Blood Samples</title><author>Yi, Xiaofei ; Song, Yizhi ; Xu, Xiaogang ; Peng, Di ; Wang, Jingkai ; Qie, Xingwang ; Lin, Kaicheng ; Yu, Miao ; Ge, Mingfeng ; Wang, Yun ; Zhang, Dayi ; Yang, Qiwen ; Wang, Minggui ; Huang, Wei E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a488t-eae0cea2c52d4e18061a7b2074a484ed33ffec4c9b21f76dd292f2ceb70ac35e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Antibiotic resistance</topic><topic>Antibiotics</topic><topic>Antimicrobial agents</topic><topic>Antimicrobial resistance</topic><topic>Bacteria</topic><topic>Chemistry</topic><topic>Deuterium</topic><topic>Discriminant analysis</topic><topic>Gram-positive bacteria</topic><topic>Health risks</topic><topic>Heavy water</topic><topic>Microbiological analysis</topic><topic>Raman spectra</topic><topic>Raman spectroscopy</topic><topic>Sepsis</topic><topic>Spectrum analysis</topic><topic>Susceptibility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yi, Xiaofei</creatorcontrib><creatorcontrib>Song, Yizhi</creatorcontrib><creatorcontrib>Xu, Xiaogang</creatorcontrib><creatorcontrib>Peng, Di</creatorcontrib><creatorcontrib>Wang, Jingkai</creatorcontrib><creatorcontrib>Qie, Xingwang</creatorcontrib><creatorcontrib>Lin, Kaicheng</creatorcontrib><creatorcontrib>Yu, Miao</creatorcontrib><creatorcontrib>Ge, Mingfeng</creatorcontrib><creatorcontrib>Wang, Yun</creatorcontrib><creatorcontrib>Zhang, Dayi</creatorcontrib><creatorcontrib>Yang, Qiwen</creatorcontrib><creatorcontrib>Wang, Minggui</creatorcontrib><creatorcontrib>Huang, Wei E</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Analytical chemistry (Washington)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yi, Xiaofei</au><au>Song, Yizhi</au><au>Xu, Xiaogang</au><au>Peng, Di</au><au>Wang, Jingkai</au><au>Qie, Xingwang</au><au>Lin, Kaicheng</au><au>Yu, Miao</au><au>Ge, Mingfeng</au><au>Wang, Yun</au><au>Zhang, Dayi</au><au>Yang, Qiwen</au><au>Wang, Minggui</au><au>Huang, Wei E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of a Fast Raman-Assisted Antibiotic Susceptibility Test (FRAST) for the Antibiotic Resistance Analysis of Clinical Urine and Blood Samples</atitle><jtitle>Analytical chemistry (Washington)</jtitle><addtitle>Anal. Chem</addtitle><date>2021-03-30</date><risdate>2021</risdate><volume>93</volume><issue>12</issue><spage>5098</spage><epage>5106</epage><pages>5098-5106</pages><issn>0003-2700</issn><eissn>1520-6882</eissn><abstract>Human health is at great risk due to the spreading of antimicrobial resistance (AMR). The lengthy procedure of conventional antimicrobial susceptibility testing (AST) usually requires a few days. We developed a fast Raman-assisted antibiotic susceptibility test (FRAST), which detects single bacterial metabolic activity in the presence of antibiotics, using Raman single-cell spectroscopy. It was found that single-cell Raman spectra (SCRS) would show a clear and distinguishable Raman band at the “silent zone” (2000–2300 cm–1), due to the active incorporation of deuterium from heavy water (D2O) by antibiotic-resistant bacteria. This pilot study has compared the FRAST and the conventional AST for six clinical standard quality controls (four Gram-negative and two Gram-positive bacteria strains) in response to 38 antibiotics. In total, 3200 treatments have been carried out and approximately 64 000 SCRS have been acquired for FRAST analysis. The result showed an overall agreement of 88.0% between the FRAST and the conventional AST assay. The gram-staining classification based on the linear discriminant analysis (LDA) model of SCRS was developed, seamlessly coupling with the FRAST to further reduce the turnaround time. We applied the FRAST to real clinical analysis for nine urinary infectious samples and three sepsis samples. The results were consistent with MALDI-TOF identification and the conventional AST. Under the optimal conditions, the “sample to report” of the FRAST could be reduced to 3 h for urine samples and 21 h for sepsis samples. The FRAST provides fast and reliable susceptibility tests, which could speed up microbiological analysis for clinical practice and facilitate antibiotic stewardship.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>33728890</pmid><doi>10.1021/acs.analchem.0c04709</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-3005-382X</orcidid><orcidid>https://orcid.org/0000-0002-4175-5982</orcidid><orcidid>https://orcid.org/0000-0003-1302-6528</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0003-2700 |
ispartof | Analytical chemistry (Washington), 2021-03, Vol.93 (12), p.5098-5106 |
issn | 0003-2700 1520-6882 |
language | eng |
recordid | cdi_proquest_miscellaneous_2502212631 |
source | American Chemical Society Journals |
subjects | Antibiotic resistance Antibiotics Antimicrobial agents Antimicrobial resistance Bacteria Chemistry Deuterium Discriminant analysis Gram-positive bacteria Health risks Heavy water Microbiological analysis Raman spectra Raman spectroscopy Sepsis Spectrum analysis Susceptibility |
title | Development of a Fast Raman-Assisted Antibiotic Susceptibility Test (FRAST) for the Antibiotic Resistance Analysis of Clinical Urine and Blood Samples |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T05%3A05%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Development%20of%20a%20Fast%20Raman-Assisted%20Antibiotic%20Susceptibility%20Test%20(FRAST)%20for%20the%20Antibiotic%20Resistance%20Analysis%20of%20Clinical%20Urine%20and%20Blood%20Samples&rft.jtitle=Analytical%20chemistry%20(Washington)&rft.au=Yi,%20Xiaofei&rft.date=2021-03-30&rft.volume=93&rft.issue=12&rft.spage=5098&rft.epage=5106&rft.pages=5098-5106&rft.issn=0003-2700&rft.eissn=1520-6882&rft_id=info:doi/10.1021/acs.analchem.0c04709&rft_dat=%3Cproquest_cross%3E2518421283%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2518421283&rft_id=info:pmid/33728890&rfr_iscdi=true |