Rapid and sensitive discrimination among carbapenem resistant and susceptible E. coli strains using Surface Enhanced Raman Spectroscopy combined with chemometric tools

Bashir, Saba; Nawaz, Haq; Majeed, Muhammad Irfan; Mohsin, Mashkoor; Abdullah, Sabahat; Ali, Saqib; Rashid, Nosheen; Kashif, Mohammad; Batool, Fatima; Abubakar, Muhammad; Ahmad, Shamsheer; Abdulraheem, Aliza

doi:10.1016/j.pdpdt.2021.102280

Cited by 39 publications

(28 citation statements)

References 62 publications

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“…Savitzky-Golay (S-G) filtering is one of the most commonly used preprocessing methods in the process of smoothing and denoising Raman spectra [99,100]. This method can keep the shape and width of the signal unchanged while filtering the noise, so as to meet the processing requirements of Raman spectral data in different situations [101]. As one of the recognized best processing steps in Raman spectrum analysis preprocessing [96], baseline correction is used to deal with the continuous distortion caused by uncontrollable factors during Raman spectrum acquisition, such as removing substrate-related Raman signals [99] and fluorescence signals generated by the sample itself [102].…”

Section: Raman Spectroscopy Preprocessingmentioning

confidence: 99%

Recent Progress in the Diagnosis of Staphylococcus in Clinical Settings

Zhang¹,

Gu²,

Usman³

et al. 2023

Infectious Diseases

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Staphylococci are mainly found on the skin or in the nose. These bacteria are typically friendly, causing no harm to healthy individuals or resulting in only minor issues that can go away on their own. However, under certain circumstances, staphylococcal bacteria could invade the bloodstream, affect the entire body, and lead to life-threatening problems like septic shock. In addition, antibiotic-resistant Staphylococcus is another issue because of its difficulty in the treatment of infections, such as the notorious methicillin-resistant Staphylococcus aureus (MRSA) which is resistant to most of the currently known antibiotics. Therefore, rapid and accurate diagnosis of Staphylococcus and characterization of the antibiotic resistance profiles are essential in clinical settings for efficient prevention, control, and treatment of the bacteria. This chapter highlights recent advances in the diagnosis of Staphylococci in clinical settings with a focus on the advanced technique of surface-enhanced Raman spectroscopy (SERS), which will provide a framework for the real-world applications of novel diagnostic techniques in medical laboratories via bench-top instruments and at the bedside through point-of-care devices.

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Section: Raman Spectroscopy Preprocessingmentioning

confidence: 99%

Recent Progress in the Diagnosis of Staphylococcus in Clinical Settings

Zhang¹,

Gu²,

Usman³

et al. 2023

Infectious Diseases

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“…Bashir et al ., reported the rapid and sensitive differentiation of E. coli strains using SERS with the aid of PCA, HCA and PLS‐DA [80] . Silver nanoparticles were employed as substrate for the SERS.…”

Section: Chemometrics In Detection Of E Colimentioning

confidence: 99%

“…Bashir et al, reported the rapid and sensitive differentiation of E. coli strains using SERS with the aid of PCA, HCA and PLS-DA. [80] Silver nanoparticles were employed as substrate for the SERS. When the SERS data was subjected to PCA, two major principle components were identified and found out the significant features related to carbapenem resistant and susceptible E. coli strains.…”

Section: Chemometrics In Detection Of E Colimentioning

confidence: 99%

Approaches for the Detection of Escherichia coli in Wastewater: A Short Review

et al. 2023

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Escherichia coli is a harmful pathogenic bacterial species causing serious intestinal sickness in humans. This bacterium has been linked to contaminated epidemics that have led to significant mortality and morbidity across the world. E. coli, like most other waterborne infections, is tricky to discover effectively in the water supply. Therefore, there is a demand for advanced E. coli detection methods that can sensitively and rapidly detect these pathogens. This review reveals several approaches used for the detection of E. coli bacteria using conventional methods such as multiple tube fermentation and membrane filtration techniques. The emerging approaches give quite accurate and speedy identification despite the necessity for culturing; nevertheless, they lack precision and necessitate extra lab testing. Because analytical techniques such as GC‐DMS lack specificity, the invention of a sensing device that is simple to use, compact, extremely sensitive, and specific has proven essential in identifying incredibly low concentrations of harmful E. coli in drinking water.

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“…SERS, a technique that works based on differences in Raman scattering of light from molecules present on the sensing surface is extensively used in diagnostics, including AMR. ,,, Chen et al reported the use of silver nanoparticles (AgNPs) as a SERS substrate for the detection of MRSA . Similarly, Bashir et al developed a rapid SERS-based method using AgNPs as SERS substrate to detect carbapenem-resistant and -susceptible E. coli infections . As shown in Figure a, Kearns et al demonstrated the use of SERS for the detection of AMR pathogens in samples.…”

Section: Nanotechnology Approaches For Amr Diagnosticsmentioning

confidence: 99%

“…53 Similarly, Bashir et al developed a rapid SERSbased method using AgNPs as SERS substrate to detect carbapenem-resistant and -susceptible E. coli infections. 103 As shown in Figure 6a, Kearns et al 95 demonstrated the use of SERS for the detection of AMR pathogens in samples. They utilized two different formats of the assay, singleplex as well as multiplex, with the ability to identify single and multiple bacterial strains, respectively.…”

Section: Nanotechnology Approaches For Amr Diagnosticsmentioning

confidence: 99%

Nanotechnology Approaches for Rapid Detection and Theranostics of Antimicrobial Resistant Bacterial Infections

Saxena

Punjabi

Ahamad

et al. 2022

ACS Biomater. Sci. Eng.

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As declared by WHO, antimicrobial resistance (AMR) is a high priority issue with a pressing need to develop impactful technologies to curb it. The rampant and inappropriate use of antibiotics due to the lack of adequate and timely diagnosis is a leading cause behind AMR evolution. Unfortunately, populations with poor economic status and those residing in densely populated areas are the most affected ones, frequently leading to emergence of AMR pathogens. Classical approaches for AMR diagnostics like phenotypic methods, biochemical assays, and molecular techniques are cumbersome and resource-intensive and involve a long turnaround time to yield confirmatory results. In contrast, recent emergence of nanotechnology-assisted approaches helps to overcome challenges in classical approaches and offer simpler, more sensitive, faster, and more affordable solutions for AMR diagnostics. Nanomaterial platforms (metallic, quantum-dot, carbon-based, upconversion, etc.), nanoparticle-based rapid point-of-care platforms, nano-biosensors (optical, mechanical, electrochemical), microfluidic-assisted devices, and importantly, nanotheranostic devices for diagnostics with treatment of AMR infections are examples of rapidly growing nanotechnology approaches used for AMR management. This review comprehensively summarizes the past 10 years of research progress on nanotechnology approaches for AMR diagnostics and for estimating antimicrobial susceptibility against commonly used antibiotics. This review also highlights several bottlenecks in nanotechnology approaches that need to be addressed prior to considering their translation to clinics.

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Rapid and sensitive discrimination among carbapenem resistant and susceptible E. coli strains using Surface Enhanced Raman Spectroscopy combined with chemometric tools

Cited by 39 publications

References 62 publications

Recent Progress in the Diagnosis of Staphylococcus in Clinical Settings

Recent Progress in the Diagnosis of Staphylococcus in Clinical Settings

Approaches for the Detection of Escherichia coli in Wastewater: A Short Review

Nanotechnology Approaches for Rapid Detection and Theranostics of Antimicrobial Resistant Bacterial Infections

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