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Cited by 486

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The Carbapenem Inactivation Method (CIM), a Simple and Low-Cost Alternative for the Carba NP Test to Assess Phenotypic Carbapenemase Activity in Gram-Negative Rods

Open access
van der Zwaluw, Kim, de Haan, Angela, Pluister, Gerlinde N., Bootsma, Hester J., de Neeling, Albert J., Schouls, Leo M.·2015·PLOS ONE

Abstract

A new phenotypic test, called the Carbapenem Inactivation Method (CIM), was developed to detect carbapenemase activity in Gram-negative rods within eight hours. This method showed high concordance with results obtained by PCR to detect genes coding for the carbapenemases KPC, NDM, OXA-48, VIM, IMP and OXA-23. It allows reliable detection of carbapenemase activity encoded by various genes in species of Enterobacteriaceae (e.g., Klebsiella pneumoniae, Escherichia coli and Enterobacter cloacae), but also in non-fermenters Pseudomonas aeruginosa and Acinetobacter baumannii. The CIM was shown to be a cost-effective and highly robust phenotypic screening method that can reliably detect carbapenemase activity.

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Crossref · 10.1371/journal.pone.0123690

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Metadata

Authors
van der Zwaluw, K., de Haan, A., Pluister, G. N., Bootsma, H. J., de Neeling, A. J., & Schouls, L. M.
Venue
PLOS ONE
Published
2015-03-23
Volume
10
Issue
3
Pages
e0123690
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2037803049
Cited by
486
References
1
FWCI
13.65
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The Carbapenem Inactivation Method (CIM), a Simple and Low-Cost Alternative for the Carba NP Test to Assess Phenotypic Carbapenemase Activity in Gram-Negative Rods. https://app.cochat.ai/papers/10.1371/journal.pone.0123690
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van der Zwaluw, K., de Haan, A., Pluister, G. N., Bootsma, H. J., de Neeling, A. J., & Schouls, L. M. (2015). The Carbapenem Inactivation Method (CIM), a Simple and Low-Cost Alternative for the Carba NP Test to Assess Phenotypic Carbapenemase Activity in Gram-Negative Rods. PLOS ONE. https://doi.org/10.1371/journal.pone.0123690

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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