Near infrared spectroscopy integrated with chemometrics for rapid detection of E. coli ATCC 25922 and E. coli K12

Siripatrawan, Ubonrat; Makino, Yoshio; Kawagoe, Yoshinori; Oshita, Seiichi

doi:10.1016/j.snb.2010.05.024

Cited by 20 publications

(8 citation statements)

References 19 publications

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“…Since then, FT-IR spectroscopy has been successfully used to study, among others, biofilm formation, cellular components in bacteria, microbial response to stress, injury, and inactivation, as well as the development of antibiotic resistance [16][17][18]. Emphasis was also placed on the detection, discrimination, classification, and identification of bacteria -especially foodborne pathogens -such as Bacillus [19,20], Brucella [21], cyanobacteria [22], E. coli [23,24], lactobacilli [25], Listeria [26,27], Mycobacteria [28], Streptococcus [29], Salmonella [30,31], Staphylococcus [32,33], and Yersinia [34,35]. Also nosocomial pathogens, such as the members of the Burkholderia cepacia complex [36][37][38] possible warfare agents [39], and even fungi [40] were investigated.…”

Section: Ir and Nir Absorption Spectroscopymentioning

confidence: 99%

IR and Raman Spectroscopy for Pathogen Detection

Münchberg

Kloß

Kusić

et al. 2015

Modern Techniques for Pathogen Detection

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Section: Ir and Nir Absorption Spectroscopymentioning

confidence: 99%

IR and Raman Spectroscopy for Pathogen Detection

Münchberg

Kloß

Kusić

et al. 2015

Modern Techniques for Pathogen Detection

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“…E. coli is a major bacterium normally residing in the intestine of humans, and human infection by this pathogen is likely through the consumption of contaminated water or food products (Siripatrawan et al, 2010), especially raw vegetables and undercooked ground beef. E. coli O157:H7, which is an enterohemorrhagic serotype species of E. coli, is readily found in ground beef and is associated with diarrhea and kidney failure (Boken et al, 2013).…”

Section: Detection Of Microbial Spoilage and Fecal Contamination In Meatmentioning

confidence: 99%

A Review of the Applications of Spectroscopy for the Detection of Microbial Contaminations and Defects in Agro Foods

Kandpal¹,

Cho²

2014

Journal of Biosystems Engineering

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Recently, spectroscopy has emerged as a potential tool for quality evaluation of numerous food and agricultural products because it provides information regarding both spectral distribution and image features of the sample (i.e., hyperspectral imaging). Spectroscopic techniques reveal hidden information regarding the sample and do so in a non-destructive manner. This review describes the various approaches of spectroscopic modalities, especially hyperspectroscopy and vibrational spectroscopies (i.e., Raman spectroscopy and Fourier transform near infrared spectroscopy) combined with chemometrics for the non-destructive assessment of contaminations and defects in agro-food products.

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“…There are only a handful of studies exploring NIRS to differentiate resistant from susceptible strains and one species from another (21)(22)(23)(24)(25). The data so far is encouraging yet limited by sample size or insufficiently characterised sample banks using well-established reference methods.…”

Section: Introductionmentioning

confidence: 99%

Near-infrared Spectroscopy evaluations for rapid differentiation of carbapenem resistant Enterobacteriaceae from susceptible strains

Alharbi

Sikulu-Lord²,

Lord

et al. 2020

Preprint

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Antimicrobial resistance (AMR) caused by Carbapenem-Resistant Enterobacteriaceae (CRE) is a global threat. Accurate identification of these bacterial species with associated AMR is critical for their management. While highly accurate methods to detect CRE are available, they are costly, timely and require expert skills making their application infeasible in low-resource settings. Here, we investigated the potential of Near-infrared Spectroscopy (NIRS) for a range of applications; i) the detection and differentiation of isolates of two pathogenic Enterobacteriaceae species, Klebsiella pneumoniae and Escherichia coli and, ii) the differentiation of carbapenem resistant and susceptible K. pneumoniae. NIRS has successfully differentiated between K. pneumoniae and E. coli isolates with a predictive accuracy of 89.04% (95% CI; 88.7-89.4%). K. pneumoniae isolates harbouring carbapenem resistance determinants were differentiated from susceptible K. pneumoniae strains with an accuracy of 85% (95% CI; 84.2-86.1%). To our knowledge, this is the largest demonstration of a proof of concept for the utility and feasibility of NIRS for rapidly differentiating between K. pneumoniae from E.coli as well as from carbapenem resistant K. pneumoniae from susceptible strains.

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Near infrared spectroscopy integrated with chemometrics for rapid detection of E. coli ATCC 25922 and E. coli K12

Cited by 20 publications

References 19 publications

IR and Raman Spectroscopy for Pathogen Detection

IR and Raman Spectroscopy for Pathogen Detection

A Review of the Applications of Spectroscopy for the Detection of Microbial Contaminations and Defects in Agro Foods

Near-infrared Spectroscopy evaluations for rapid differentiation of carbapenem resistant Enterobacteriaceae from susceptible strains

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