This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
de la Maza LM, Pezzlo MT, Bittencourt CE, Peterson EM. Acinetobacter, Chryseobacterium, Moraxella, Methylobacterium, and other nonfermentative Gram-negative bacilli. Color Atlas of Medical Bacteriology. 3rd ed. Washington, DC: ASM Press; 2020, p. 157–67.de la MazaLMPezzloMTBittencourtCEPetersonEMAcinetobacter, Chryseobacterium, Moraxella, Methylobacterium, and other nonfermentative Gram-negative bacilli3rd edWashington, DCASM Press20201576710.1128/9781683671077.ch18Search in Google Scholar
Vijayakumar S, Biswas I, Veeraraghavan B. Accurate identification of clinically important Acinetobacter spp.: an update. Future Sci OA. 2019; 5:FSO395. doi: 10.2144/fsoa-2018-0127VijayakumarSBiswasIVeeraraghavanBAccurate identification of clinically important Acinetobacter spp.: an update20195FSO39510.2144/fsoa-2018-0127660989931285840Open DOISearch in Google Scholar
Dijkshoorn L, Nemec A, Seifert H. An increasing threat in hospitals: multidrug-resistant Acinetobacter baumannii. Nat Rev Microbiol. 2007; 5:939–51.DijkshoornLNemecASeifertHAn increasing threat in hospitals: multidrug-resistant Acinetobacter baumannii200759395110.1038/nrmicro178918007677Search in Google Scholar
Clark NM, Zhanel GG, Lynch JP. Emergence of antimicrobial resistance among Acinetobacter species: a global threat. Curr Opin Crit Care. 2016; 22:491–9.ClarkNMZhanelGGLynchJPEmergence of antimicrobial resistance among Acinetobacter species: a global threat201622491910.1097/MCC.000000000000033727552304Search in Google Scholar
Howard A, O’Donoghue M, Feeney A, Sleator RD. Acinetobacter baumannii. An emerging opportunistic pathogen. Virulence. 2012; 3:243–50.HowardAO’DonoghueMFeeneyASleatorRDAcinetobacter baumannii. An emerging opportunistic pathogen201232435010.4161/viru.19700344283622546906Search in Google Scholar
Gales AC, Seifert H, Gur D, Castanheira M, Jones RN, Sader HS. Antimicrobial susceptibility of Acinetobacter calcoaceticus–Acinetobacter baumannii complex and Stenotrophomonas maltophilia clinical isolates: results from the SENTRY antimicrobial surveillance program (1997–2016). Open Forum Infect Dis. 2019; 6(Suppl 1): S34–46.GalesACSeifertHGurDCastanheiraMJonesRNSaderHSAntimicrobial susceptibility of Acinetobacter calcoaceticus–Acinetobacter baumannii complex and Stenotrophomonas maltophilia clinical isolates: results from the SENTRY antimicrobial surveillance program (1997–2016)20196Suppl 1S344610.1093/ofid/ofy293641990830895213Search in Google Scholar
Fitzpatrick MA, Ozer E, Bolon MK, Hauser AR. Influence of ACB complex genospecies on clinical outcomes in a U.S. hospital with high rates of multidrug resistance. J Infect. 2015; 70:144–52.FitzpatrickMAOzerEBolonMKHauserARInfluence of ACB complex genospecies on clinical outcomes in a U.S. hospital with high rates of multidrug resistance2015701445210.1016/j.jinf.2014.09.004430200925246361Search in Google Scholar
Whistler T, Sangwichian O, Jorakate P, Sawatwong P, Surin U, Piralam B, et al. Identification of Gram negative non-fermentative bacteria: how hard can it be? PLoS Negl Trop Dis. 2019: 13:e0007729. doi: 10.1371/journal.pntd.0007729WhistlerTSangwichianOJorakatePSawatwongPSurinUPiralamBIdentification of Gram negative non-fermentative bacteria: how hard can it be?201913e000772910.1371/journal.pntd.0007729678664631568511Open DOISearch in Google Scholar
Gundi VAKB, Dijkshoorn L, Burignat S, Raoult D, La Scola B. Validation of partial rpoB gene sequence analysis for the identification of clinically important and emerging Acinetobacter species. Microbiology (Reading). 2009; 155:2333–41.GundiVAKBDijkshoornLBurignatSRaoultDLa ScolaBValidation of partial rpoB gene sequence analysis for the identification of clinically important and emerging Acinetobacter species200915523334110.1099/mic.0.026054-019389786Search in Google Scholar
Higgins PG, Wisplinghoff H, Krut O, Seifert H. A PCR-based method to differentiate between Acinetobacter baumannii and Acinetobacter genomic species 13TU. Clin Microbiol Infect 2007; 13:1199–201.HigginsPGWisplinghoffHKrutOSeifertHA PCR-based method to differentiate between Acinetobacter baumannii and Acinetobacter genomic species 13TU200713119920110.1111/j.1469-0691.2007.01819.x17850345Search in Google Scholar
Higgins PG, Lehmann M, Wisplinghoff H, Seifert H. gyrB multiplex PCR to differentiate between Acinetobacter calcoaceticus and Acinetobacter genomic species 3. J Clin Microbiol. 2010; 48:4592–4.HigginsPGLehmannMWisplinghoffHSeifertHgyrB multiplex PCR to differentiate between Acinetobacter calcoaceticus and Acinetobacter genomic species 32010484592410.1128/JCM.01765-10300849320881170Search in Google Scholar
Šedo O, Nemec A, Křížová L, Kačalová M, Zdráhal Z. Improvement of MALDI-TOF MS profiling for the differentiation of species within the Acinetobacter calcoaceticus-Acinetobacter baumannii complex. Syst Appl Microbiol. 2013; 36:572–8.ŠedoONemecAKřížováLKačalováMZdráhalZImprovement of MALDI-TOF MS profiling for the differentiation of species within the Acinetobacter calcoaceticus-Acinetobacter baumannii complex201336572810.1016/j.syapm.2013.08.00124054697Search in Google Scholar
Cosgaya C, Marí-Almirall M, Van Assche A, Fernández-Orth D, Mosqueda N, Telli M, et al. Acinetobacter dijkshoorniae sp. nov., a member of the Acinetobacter calcoaceticus–Acinetobacter baumannii complex mainly recovered from clinical samples in different countries. Int J Syst Evol Microbiol. 2016; 66:4105–11.CosgayaCMarí-AlmirallMVan AsscheAFernández-OrthDMosquedaNTelliMAcinetobacter dijkshoorniae sp. nov., a member of the Acinetobacter calcoaceticus–Acinetobacter baumannii complex mainly recovered from clinical samples in different countries20166641051110.1099/ijsem.0.00131827432448Search in Google Scholar
Nemec A, Krizova L, Maixnerova M, Sedo O, Brisse S, Higgins PG. Acinetobacter seifertii sp. nov., a member of the Acinetobacter calcoaceticus–Acinetobacter baumannii complex isolated from human clinical specimens. Int J Syst Evol Microbiol. 2015; 65:934–42.NemecAKrizovaLMaixnerovaMSedoOBrisseSHigginsPGAcinetobacter seifertii sp. nov., a member of the Acinetobacter calcoaceticus–Acinetobacter baumannii complex isolated from human clinical specimens2015659344210.1099/ijs.0.00004325563912Search in Google Scholar
Parida M, Sannarangaiah S, Dash PK, Rao PVL, Morita K. Loop mediated isothermal amplification (LAMP): a new generation of innovative gene amplification technique; perspectives in clinical diagnosis of infectious diseases. Rev Med Virol. 2008; 18:407–21.ParidaMSannarangaiahSDashPKRaoPVLMoritaKLoop mediated isothermal amplification (LAMP): a new generation of innovative gene amplification technique; perspectives in clinical diagnosis of infectious diseases2008184072110.1002/rmv.593716914018716992Search in Google Scholar
Ahmad I, Karah N, Nadeem A, Wai SN, Eric B, Uhlin BE. Analysis of colony phase variation switch in Acinetobacter baumannii clinical isolates. PLoS ONE. 2019; 14:e0210082. doi: 10.1371/journal.pone.0210082AhmadIKarahNNadeemAWaiSNEricBUhlinBEAnalysis of colony phase variation switch in Acinetobacter baumannii clinical isolates201914e021008210.1371/journal.pone.0210082631971930608966Open DOISearch in Google Scholar
Peleg AY, Seifert H, Paterson DL. Acinetobacter baumannii: emergence of a successful pathogen. Clin Microbiol Rev. 2008; 21:538–82.PelegAYSeifertHPatersonDLAcinetobacter baumannii: emergence of a successful pathogen2008215388210.1128/CMR.00058-07249308818625687Search in Google Scholar
Bouvet PJM, Grimont PAD. Taxonomy of the genus Acinetobacter with the recognition of Acinetobacter baumannii sp. nov., Acinetobacter haemolyticus sp. nov., Acinetobacter johnsonii sp. nov., and Acinetobacter junii sp. nov. and emended descriptions of Acinetobacter calcoaceticus and Acinetobacter lwofii. Int J Syst Bacteriol. 1986; 36:228–40.BouvetPJMGrimontPADTaxonomy of the genus Acinetobacter with the recognition of Acinetobacter baumannii sp. nov., Acinetobacter haemolyticus sp. nov., Acinetobacter johnsonii sp. nov., and Acinetobacter junii sp. nov. and emended descriptions of Acinetobacter calcoaceticus and Acinetobacter lwofii1986362284010.1099/00207713-36-2-228Search in Google Scholar
Cerquetti M. Molecular typing in bacterial infections Haemophilus spp. In: de Filippis I, McKee M. editors. Molecular typing in bacterial infections. Totowa, NJ: Humana Press; 2013, p. 193–210.CerquettiMMolecular typing in bacterial infections Haemophilus sppde FilippisIMcKeeMeditors.Totowa, NJHumana Press201319321010.1007/978-1-62703-185-1_13Search in Google Scholar
Maugeri G, Lychko I, Sobral R, Roque ACA. Identification and antibiotic-susceptibility profiling of infectious bacterial agents: a review of current and future trends. Biotechnol J. 2019; 14: 1700750. doi: 10.1002/biot.201700750MaugeriGLychkoISobralRRoqueACAIdentification and antibiotic-susceptibility profiling of infectious bacterial agents: a review of current and future trends201914170075010.1002/biot.201700750633009730024110Open DOISearch in Google Scholar
Li Y, Yang X, Zhao W. Emerging microtechnologies and automated systems for rapid bacterial identification and antibiotic susceptibility testing. SLAS Technol. 2017; 22:585–608.LiYYangXZhaoWEmerging microtechnologies and automated systems for rapid bacterial identification and antibiotic susceptibility testing20172258560810.1177/2472630317727519583539528850804Search in Google Scholar
Altheide ST. Biochemical and culture-based approaches to identification in the diagnostic microbiology laboratory. J Am Soc Clin Lab Sci. 2020. doi: 10.29074/ascls.119.001875AltheideSTBiochemical and culture-based approaches to identification in the diagnostic microbiology laboratory202010.29074/ascls.119.001875Open DOISearch in Google Scholar
Franco-Duarte R, Černáková L, Kadam S, Kaushik KS, Salehi B, Bevilacqua A, et al. Advances in chemical and biological methods to identify microorganisms—from past to present. 2019; Microorganisms. 2019; 7:130. doi: 10.3390/microorganisms7050130Franco-DuarteRČernákováLKadamSKaushikKSSalehiBBevilacquaAAdvances in chemical and biological methods to identify microorganisms—from past to present. 20192019713010.3390/microorganisms7050130656041831086084Open DOISearch in Google Scholar
Váradi L, Luo JL, Hibbs DE, Perry JD, Anderson RJ, Orenga S, Groundwater PW. Methods for the detection and identification of pathogenic bacteria: past, present, and future. Chem Soc Rev. 2017; 46:4818–32.VáradiLLuoJLHibbsDEPerryJDAndersonRJOrengaSGroundwaterPWMethods for the detection and identification of pathogenic bacteria: past, present, and future20174648183210.1039/C6CS00693KSearch in Google Scholar
O’Hara CM. Manual and automated instrumentation for identification of Enterobacteriaceae and other aerobic gram-negative bacilli. 2005; 18:147–62.O’HaraCM2005181476210.1128/CMR.18.1.147-162.200554417915653824Search in Google Scholar
Bosshard PP, Zbinden R, Abels S, Bo B, Altwegg M, Bo EC. 16S rRNA gene sequencing versus the API 20 NE system and the VITEK 2 ID-GNB card for identification of nonfermenting gram-negative bacteria in the clinical laboratory. 2006; 44:1359–66.BosshardPPZbindenRAbelsSBoBAltweggMBoEC20064413596610.1128/JCM.44.4.1359-1366.2006144863816597863Search in Google Scholar
Stefanowicz A. The Biolog plates technique as a tool in ecological studies of microbial communities. Polish J Environ Stud. 2006; 15:669–76.StefanowiczAThe Biolog plates technique as a tool in ecological studies of microbial communities20061566976Search in Google Scholar
Bernards AT, Dijkshoorn L, van der Toorn J, Bochner BR, van Boven CPA. Phenotypic characterisation of Acinetobacter strains of 13 DNA-DNA hybridisation groups by means of the Biolog system. J Med Microbiol. 1995; 42:113–9.BernardsATDijkshoornLvan der ToornJBochnerBRvan BovenCPAPhenotypic characterisation of Acinetobacter strains of 13 DNA-DNA hybridisation groups by means of the Biolog system199542113910.1099/00222615-42-2-1137869346Search in Google Scholar
Hernández-Durán M, López-Jácome LE, Colín-Castro CA, Cerón-González G, Ortega-Peña S, Vanegas-Rodríguez ES, et al. Comparison of the MicroScan WalkAway and VITEK 2 Compact systems for the identification and susceptibility of clinical Gram-positive and Gram-negative bacteria. Investigación en Discapacidad. 2017; 6:105–14.Hernández-DuránMLópez-JácomeLEColín-CastroCACerón-GonzálezGOrtega-PeñaSVanegas-RodríguezESComparison of the MicroScan WalkAway and VITEK 2 Compact systems for the identification and susceptibility of clinical Gram-positive and Gram-negative bacteria2017610514Search in Google Scholar
Snyder JW, Munier GK, Johnson CL. Direct comparison of the BD phoenix system with the MicroScan WalkAway system for identification and antimicrobial susceptibility testing of Enterobacteriaceae and nonfermentative gram-negative organisms. J Clin Microbiol. 2008; 46:2327–33.SnyderJWMunierGKJohnsonCLDirect comparison of the BD phoenix system with the MicroScan WalkAway system for identification and antimicrobial susceptibility testing of Enterobacteriaceae and nonfermentative gram-negative organisms20084623273310.1128/JCM.00075-08244688818495856Search in Google Scholar
Kim S, Kim MH, Lee WI, Kang SY, Jeon YL. Misidentification of Acinetobacter baumannii as Alcaligenes faecalis by VITEK 2 system; case report. Lab Med. 2018; 49:e14–7.KimSKimMHLeeWIKangSYJeonYLMisidentification of Acinetobacter baumannii as Alcaligenes faecalis by VITEK 2 system; case report201849e14710.1093/labmed/lmx06229206938Search in Google Scholar
Benkova M, Soukup O, Marek J. Antimicrobial susceptibility testing: currently used methods and devices and the near future in clinical practice. J Appl Microbiol. 2020; 129:806–22.BenkovaMSoukupOMarekJAntimicrobial susceptibility testing: currently used methods and devices and the near future in clinical practice20201298062210.1111/jam.1470432418295Search in Google Scholar
Wang J, Ruan Z, Feng Y, Fu Y, Jiang Y, Wang H, Yu Y. Species distribution of clinical Acinetobacter isolates revealed by different identification techniques. PLoS One. 2014; 9:e104882. doi: 10.1371/journal.pone.0104882WangJRuanZFengYFuYJiangYWangHYuYSpecies distribution of clinical Acinetobacter isolates revealed by different identification techniques20149e10488210.1371/journal.pone.0104882413206925120020Open DOISearch in Google Scholar
Lee Y-C, Huang Y-T, Tan C-K, Kuo Y-W, Liao C-H, Lee P-I, Hsueh P-R. Acinetobacter baumannii and Acinetobacter genospecies 13TU and 3 bacteraemia: comparison of clinical features, prognostic factors and outcomes. J Antimicrob Chemother. 2011; 66:1839–46.LeeY-CHuangY-TTanC-KKuoY-WLiaoC-HLeeP-IHsuehP-RAcinetobacter baumannii and Acinetobacter genospecies 13TU and 3 bacteraemia: comparison of clinical features, prognostic factors and outcomes20116618394610.1093/jac/dkr20021653602Search in Google Scholar
Marschal M, Bachmaier J, Autenrieth I, Oberhettinger P, Willmann M, Petera S. Evaluation of the Accelerate Pheno system for fast identification and antimicrobial susceptibility testing from positive blood cultures in bloodstream infections caused by Gram-negative pathogens. J Clin Microbiol. 2017; 55:2116–26.MarschalMBachmaierJAutenriethIOberhettingerPWillmannMPeteraSEvaluation of the Accelerate Pheno system for fast identification and antimicrobial susceptibility testing from positive blood cultures in bloodstream infections caused by Gram-negative pathogens20175521162610.1128/JCM.00181-17548391328446572Search in Google Scholar
Charnot-Katsikas A, Tesic V, Love N, Hill B, Bethel C, Boonlayangoor S, Bevis KG. Use of the Accelerate Pheno system for identification and antimicrobial susceptibility testing of pathogens in positive blood cultures and impact on time to results and workflow. J Clin Microbiol. 2018; 56:e01166–17. doi: 10.1128/JCM.01166-17Charnot-KatsikasATesicVLoveNHillBBethelCBoonlayangoorSBevisKGUse of the Accelerate Pheno system for identification and antimicrobial susceptibility testing of pathogens in positive blood cultures and impact on time to results and workflow201856e011661710.1128/JCM.01166-17574421329118168Open DOISearch in Google Scholar
Ribeiro DG, Carmo LST, Santos IR, Almeida RF, Silva LP, Oliveira-Neto OB, et al. MALDI TOF MS-profiling: applications for bacterial and plant sample differentiation and biological variability assessment. J Proteomics. 2020; 213:103619. doi: 10.1016/j.jprot.2019.103619RibeiroDGCarmoLSTSantosIRAlmeidaRFSilvaLPOliveira-NetoOBMALDI TOF MS-profiling: applications for bacterial and plant sample differentiation and biological variability assessment202021310361910.1016/j.jprot.2019.10361931846767Open DOISearch in Google Scholar
Sogawa K, Watanabe M, Sato K, Segawa S, Ishii C, Miyabe A, et al. Use of the MALDI BioTyper system with MALDI-TOF mass spectrometry for rapid identification of microorganisms. Anal Bioanal Chem. 2011; 400:1905–11.SogawaKWatanabeMSatoKSegawaSIshiiCMiyabeAUse of the MALDI BioTyper system with MALDI-TOF mass spectrometry for rapid identification of microorganisms201140019051110.1007/s00216-011-4877-721442367Search in Google Scholar
Ge M-C, Kuo A-J, Liu K-L, Wen Y-H, Chia J-H, Chang P-Y, et al. Routine identification of microorganisms by matrix-assisted laser desorption ionization time-of-flight mass spectrometry: success rate, economic analysis, and clinical outcome. J Microbiol Immunol Infect. 2017; 50:662–8.GeM-CKuoA-JLiuK-LWenY-HChiaJ-HChangP-YRoutine identification of microorganisms by matrix-assisted laser desorption ionization time-of-flight mass spectrometry: success rate, economic analysis, and clinical outcome201750662810.1016/j.jmii.2016.06.00227426930Search in Google Scholar
Yan W, Qian J, Ge Y, Ye K, Zhou C, Zhang H. Principal component analysis of MALDI-TOF MS of whole-cell foodborne pathogenic bacteria. Anal Biochem. 2020; 592:113582. doi: 10.1016/j.ab.2020.113582YanWQianJGeYYeKZhouCZhangHPrincipal component analysis of MALDI-TOF MS of whole-cell foodborne pathogenic bacteria202059211358210.1016/j.ab.2020.11358231935357Open DOISearch in Google Scholar
Bar-Meir M, Berliner E, Kashat L, Zeevi DA, Assous MV. The utility of MALDI-TOF MS for outbreak investigation in the neonatal intensive care unit. Eur J Pediatr. 2020. doi: 10.1007/s00431-020-03696-3.Bar-MeirMBerlinerEKashatLZeeviDAAssousMVThe utility of MALDI-TOF MS for outbreak investigation in the neonatal intensive care unit202010.1007/s00431-020-03696-3728398732524198Open DOISearch in Google Scholar
Yuan Y, Wang J, Zhang J, Ma B, Gao S, Li Y, et al. Evaluation of an optimized method to directly identify bacteria from positive blood cultures using MALDI-TOF mass spectrometry. J Clin Lab Anal. 2020; 34:e23119. doi: 10.1002/jcla.23119YuanYWangJZhangJMaBGaoSLiYEvaluation of an optimized method to directly identify bacteria from positive blood cultures using MALDI-TOF mass spectrometry202034e2311910.1002/jcla.23119717132731724218Open DOISearch in Google Scholar
Xu S, Zhou C, Zhang P, Feng C, Zhang T, Sun Z, et al. Diagnostic performance of MALDI-TOF MS compared to conventional microbiological cultures in patients with suspected endophthalmitis. Ocul Immunol Inflamm. 2020; 28:483–90.XuSZhouCZhangPFengCZhangTSunZDiagnostic performance of MALDI-TOF MS compared to conventional microbiological cultures in patients with suspected endophthalmitis2020284839010.1080/09273948.2019.158334631116624Search in Google Scholar
Angeletti S. Matrix assisted laser desorption time of flight mass spectrometry (MALDI-TOF MS) in clinical microbiology. J Microbiol Methods. 2017; 138:20–9.AngelettiSMatrix assisted laser desorption time of flight mass spectrometry (MALDI-TOF MS) in clinical microbiology201713820910.1016/j.mimet.2016.09.00327613479Search in Google Scholar
Feucherolles M, Poppert S, Utzinger J, Becker SL. MALDI-TOF mass spectrometry as a diagnostic tool in human and veterinary helminthology: a systematic review. Parasit Vectors. 2019; 12:245. doi: 10.1186/s13071-019-3493-9FeucherollesMPoppertSUtzingerJBeckerSLMALDI-TOF mass spectrometry as a diagnostic tool in human and veterinary helminthology: a systematic review20191224510.1186/s13071-019-3493-9652546431101120Open DOISearch in Google Scholar
Singhal N, Kumar M, Kanaujia PK, Virdi JS. MALDI-TOF mass spectrometry: an emerging technology for microbial identification and diagnosis. Front Microbiol. 2015; 6:791. doi: 10.3389/fmicb.2015.00791SinghalNKumarMKanaujiaPKVirdiJSMALDI-TOF mass spectrometry: an emerging technology for microbial identification and diagnosis2015679110.3389/fmicb.2015.00791452537826300860Open DOISearch in Google Scholar
Marí-Almirall M, Cosgaya C, Higgins PG, Van Assche A, Telli M, Huys G, et al. MALDI-TOF/MS identification of species from the Acinetobacter baumannii (Ab) group revisited: inclusion of the novel A. seifertii and A. dijkshoorniae species. Clin Microbiol Infect. 2017; 23:210.e1–9. doi: 10.1016/j.cmi.2016.11.020Marí-AlmirallMCosgayaCHigginsPGVan AsscheATelliMHuysGMALDI-TOF/MS identification of species from the Acinetobacter baumannii (Ab) group revisited: inclusion of the novel A. seifertii and A. dijkshoorniae species201723210.e1910.1016/j.cmi.2016.11.02027919649Open DOISearch in Google Scholar
Li X, Tang Y, Lu X. Insight into identification of Acinetobacter species by matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) in the clinical laboratory. J Am Soc Mass Spectrom. 2018; 29:1546–53.LiXTangYLuXInsight into identification of Acinetobacter species by matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) in the clinical laboratory20182915465310.1007/s13361-018-1911-429633221Search in Google Scholar
Hsueh P-R, Kuo L-C, Chang T-C, Lee T-F, Teng S-H, Chuang Y-C, et al. Evaluation of the Bruker Biotyper matrix-assisted laser desorption ionization–time of flight mass spectrometry system for identification of blood isolates of Acinetobacter species. 2014; 52:3095–100.HsuehP-RKuoL-CChangT-CLeeT-FTengS-HChuangY-C201452309510010.1128/JCM.01233-14413613424899038Search in Google Scholar
Jeong S, Hong JS, Kim JO, Kim KH, Lee W, Bae IK, et al. Identification of Acinetobacter species using matrix-assisted laser desorption ionization-time of flight mass spectrometry. Ann Lab Med. 2016; 36:325–34.JeongSHongJSKimJOKimKHLeeWBaeIKIdentification of Acinetobacter species using matrix-assisted laser desorption ionization-time of flight mass spectrometry2016363253410.3343/alm.2016.36.4.325485505227139605Search in Google Scholar
Šedo O, Radolfová-Křížová L, Nemec A, Zdráhal Z. Limitations of routine MALDI-TOF mass spectrometric identification of Acinetobacter species and remedial actions. J Microbiol Methods. 2018; 154:79–85.ŠedoORadolfová-KřížováLNemecAZdráhalZLimitations of routine MALDI-TOF mass spectrometric identification of Acinetobacter species and remedial actions2018154798510.1016/j.mimet.2018.10.00930332615Search in Google Scholar
Toh BEW, Paterson DL, Kamolvit W, Zowawi H, Kvaskoff D, Sidjabat H, et al. Species identification within Acinetobacter calcoaceticus–baumannii complex using MALDI-TOF MS. J Microbiol Methods. 2015; 118:128–32.TohBEWPatersonDLKamolvitWZowawiHKvaskoffDSidjabatHSpecies identification within Acinetobacter calcoaceticus–baumannii complex using MALDI-TOF MS20151181283210.1016/j.mimet.2015.09.00626381662Search in Google Scholar
Kishii K, Kikuchi K, Matsuda N, Yoshida A, Okuzumi K, Uetera Y, et al. Evaluation of matrix-assisted laser desorption ionization-time of flight mass spectrometry for species identification of Acinetobacter strains isolated from blood cultures. Clin Microbiol Infect. 2014; 20:424–30.KishiiKKikuchiKMatsudaNYoshidaAOkuzumiKUeteraYEvaluation of matrix-assisted laser desorption ionization-time of flight mass spectrometry for species identification of Acinetobacter strains isolated from blood cultures2014204243010.1111/1469-0691.1237624125498Search in Google Scholar
Rim JH, Lee Y, Hong SK, Park Y, Kim M, D’Souza R, et al. Insufficient discriminatory power of matrix-assisted laser desorption ionization time-of-flight mass spectrometry dendrograms to determine the clonality of multi-drug-resistant Acinetobacter baumannii isolates from an intensive care unit. Biomed Res Int. 2015; 2015:535027. doi: 10.1155/2015/535027RimJHLeeYHongSKParkYKimMD’SouzaRInsufficient discriminatory power of matrix-assisted laser desorption ionization time-of-flight mass spectrometry dendrograms to determine the clonality of multi-drug-resistant Acinetobacter baumannii isolates from an intensive care unit2015201553502710.1155/2015/535027445852626101775Open DOISearch in Google Scholar
Sousa C, Botelho J, Silva L, Grosso F, Nemec A, Lopes J, Peixe L. MALDI-TOF MS and chemometric based identification of the Acinetobacter calcoaceticus-Acinetobacter baumannii complex species. Int J Med Microbiol. 2014; 304:669–77.SousaCBotelhoJSilvaLGrossoFNemecALopesJPeixeLMALDI-TOF MS and chemometric based identification of the Acinetobacter calcoaceticus-Acinetobacter baumannii complex species20143046697710.1016/j.ijmm.2014.04.01424877727Search in Google Scholar
Espinal P, Martí S, Vila J. Effect of biofilm formation on the survival of Acinetobacter baumannii on dry surfaces. J Hosp Infect. 2012; 80:56–60.EspinalPMartíSVilaJEffect of biofilm formation on the survival of Acinetobacter baumannii on dry surfaces201280566010.1016/j.jhin.2011.08.01321975219Search in Google Scholar
Lee W, Kim M, Yong D, Jeong SH, Lee K, Chong Y. Evaluation of VITEK mass spectrometry (MS), a matrix-assisted laser desorption ionization time-of-flight MS system for identification of anaerobic bacteria. Ann Lab Med. 2015; 35:69–75.LeeWKimMYongDJeongSHLeeKChongYEvaluation of VITEK mass spectrometry (MS), a matrix-assisted laser desorption ionization time-of-flight MS system for identification of anaerobic bacteria201535697510.3343/alm.2015.35.1.69427296825553283Search in Google Scholar
Pailhoriès H, Daure S, Eveillard M, Joly-Guillou M-L, Kempf M. Using Vitek MALDI-TOF mass spectrometry to identify species belonging to the Acinetobacter calcoaceticus–Acinetobacter baumannii complex: a relevant alternative to molecular biology? Diagn Microbiol Infect Dis. 2015; 83:99–104.PailhorièsHDaureSEveillardMJoly-GuillouM-LKempfMUsing Vitek MALDI-TOF mass spectrometry to identify species belonging to the Acinetobacter calcoaceticus–Acinetobacter baumannii complex: a relevant alternative to molecular biology?2015839910410.1016/j.diagmicrobio.2015.06.00926198329Search in Google Scholar
Gorgannezhad L, Stratton H, Nguyen NT. Microfluidic-based nucleic acid amplification systems in microbiology. Micromachines (Basel). 2019; 10:408. doi: 10.3390/mi10060408GorgannezhadLStrattonHNguyenNTMicrofluidic-based nucleic acid amplification systems in microbiology20191040810.3390/mi10060408663046831248141Open DOISearch in Google Scholar
Kelley SO. New technologies for rapid bacterial identification and antibiotic resistance profiling. SLAS Technol. 2017; 22:113–21.KelleySONew technologies for rapid bacterial identification and antibiotic resistance profiling2017221132110.1177/221106821668020727879409Search in Google Scholar
Choi J, Jung Y-G, Kim J, Kim S, Jung Y, Na H, Kwon S. Rapid antibiotic susceptibility testing by tracking single cell growth in a microfluidic agarose channel system. Lab Chip. 2013; 13:280–7.ChoiJJungY-GKimJKimSJungYNaHKwonSRapid antibiotic susceptibility testing by tracking single cell growth in a microfluidic agarose channel system201313280710.1039/C2LC41055ASearch in Google Scholar
Baltekin Ö, Boucharin A, Tano E, Andersson DI, Elf J. Antibiotic susceptibility testing in less than 30 min using direct single-cell imaging. Proc Natl Acad Sci U S A. 2017; 114:9170–5.BaltekinÖBoucharinATanoEAnderssonDIElfJAntibiotic susceptibility testing in less than 30 min using direct single-cell imaging20171149170510.1073/pnas.1708558114557682928790187Search in Google Scholar
Kara V, Duan C, Gupta K, Kurosawa S, Stearns-Kurosawa DJ, Ekinci KL. Microfluidic detection of movements of Escherichia coli for rapid antibiotic susceptibility testing. Lab Chip. 2018; 18:743–53.KaraVDuanCGuptaKKurosawaSStearns-KurosawaDJEkinciKLMicrofluidic detection of movements of Escherichia coli for rapid antibiotic susceptibility testing2018187435310.1039/C7LC01019BSearch in Google Scholar
Malmberg C, Yuen P, Spaak J, Cars O, Tängdén T, Lagerbäck P. A novel microfluidic assay for rapid phenotypic antibiotic susceptibility testing of bacteria detected in clinical blood cultures. PLoS One. 2016; 11:e0167356. doi: 10.1371/journal.pone.0167356MalmbergCYuenPSpaakJCarsOTängdénTLagerbäckPA novel microfluidic assay for rapid phenotypic antibiotic susceptibility testing of bacteria detected in clinical blood cultures201611e016735610.1371/journal.pone.0167356515655427974860Open DOISearch in Google Scholar
Hou HW, Bhattacharyya RP, Hung DT, Han J. Direct detection and drug-resistance profiling of bacteremias using inertial microfluidics. Lab Chip. 2015; 15:2297–307.HouHWBhattacharyyaRPHungDTHanJDirect detection and drug-resistance profiling of bacteremias using inertial microfluidics201515229730710.1039/C5LC00311C443779925882432Search in Google Scholar
Kang D-K, Ali MM, Zhang K, Huang SS, Peterson E, Digman MA, et al. Rapid detection of single bacteria in unprocessed blood using integrated comprehensive droplet digital detection. Nat Commun. 2014; 5:5427. doi: 10.1038/ncomms6427KangD-KAliMMZhangKHuangSSPetersonEDigmanMARapid detection of single bacteria in unprocessed blood using integrated comprehensive droplet digital detection20145542710.1038/ncomms6427424321425391809Open DOISearch in Google Scholar
Boedicker JQ, Li L, Kline TR, Ismagilov RF. Detecting bacteria and determining their susceptibility to antibiotics by stochastic confinement in nanoliter droplets using plug-based microfluidics. Lab Chip. 2008; 8:1265–72.BoedickerJQLiLKlineTRIsmagilovRFDetecting bacteria and determining their susceptibility to antibiotics by stochastic confinement in nanoliter droplets using plug-based microfluidics2008812657210.1039/b804911d261253118651067Search in Google Scholar