Rapid detection of Pseudomonas aeruginosa based on lab-on-a-chip platform using immunomagnetic separation, light scattering, and machine learning

Hussain, Mubashir; Liu, Xiaolong; Tang, Shuming; Zou, Jun; Wang, Zhifei; Ali, Zeeshan; He, Nongyue; Tang, Yongjun

doi:10.1016/j.aca.2021.339223

Cited by 18 publications

(7 citation statements)

References 33 publications

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“…On-chip screening of Pseudomonas aeruginosa using IMS for isolation, light scattering technique, and machine learning strategy was also reported by Hussain et al (2022). Its microfluidic system and photodetector collected the scattered light patterns and converted them into electrical signals.…”

Section: Emerging Biosensing Technologies and Approachesmentioning

confidence: 99%

Advances, applications, and limitations of portable and rapid detection technologies for routinely encountered foodborne pathogens

et al. 2022

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Traditional foodborne pathogen detection methods are highly dependent on pre-treatment of samples and selective microbiological plating to reliably screen target microorganisms. Inherent limitations of conventional methods include longer turnaround time and high costs, use of bulky equipment, and the need for trained staff in centralized laboratory settings. Researchers have developed stable, reliable, sensitive, and selective, rapid foodborne pathogens detection assays to work around these limitations. Recent advances in rapid diagnostic technologies have shifted to on-site testing, which offers flexibility and ease-of-use, a significant improvement from traditional methods’ rigid and cumbersome steps. This comprehensive review aims to thoroughly discuss the recent advances, applications, and limitations of portable and rapid biosensors for routinely encountered foodborne pathogens. It discusses the major differences between biosensing systems based on the molecular interactions of target analytes and biorecognition agents. Though detection limits and costs still need further improvement, reviewed technologies have high potential to assist the food industry in the on-site detection of biological hazards such as foodborne pathogens and toxins to maintain safe and healthy foods. Finally, this review offers targeted recommendations for future development and commercialization of diagnostic technologies specifically for emerging and re-emerging foodborne pathogens.

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Section: Emerging Biosensing Technologies and Approachesmentioning

confidence: 99%

Advances, applications, and limitations of portable and rapid detection technologies for routinely encountered foodborne pathogens

et al. 2022

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“…Higher classification accuracy of 97.9% was acquired for the detection of P. aeruginosa with a detection limit of 10 2 CFU/mL. The device can perform the detection procedure within 25 min [ 98 ].…”

Section: Multiangle Laser Light Scatteringmentioning

confidence: 99%

Recent Progress in Spectroscopic Methods for the Detection of Foodborne Pathogenic Bacteria

et al. 2022

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Detection of foodborne pathogens at an early stage is very important to control food quality and improve medical response. Rapid detection of foodborne pathogens with high sensitivity and specificity is becoming an urgent requirement in health safety, medical diagnostics, environmental safety, and controlling food quality. Despite the existing bacterial detection methods being reliable and widely used, these methods are time-consuming, expensive, and cumbersome. Therefore, researchers are trying to find new methods by integrating spectroscopy techniques with artificial intelligence and advanced materials. Within this progress report, advances in the detection of foodborne pathogens using spectroscopy techniques are discussed. This paper presents an overview of the progress and application of spectroscopy techniques for the detection of foodborne pathogens, particularly new trends in the past few years, including surface-enhanced Raman spectroscopy, surface plasmon resonance, fluorescence spectroscopy, multiangle laser light scattering, and imaging analysis. In addition, the applications of artificial intelligence, microfluidics, smartphone-based techniques, and advanced materials related to spectroscopy for the detection of bacterial pathogens are discussed. Finally, we conclude and discuss possible research prospects in aspects of spectroscopy techniques for the identification and classification of pathogens.

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“…Many studies have used the API 20e system or traditional biochemical testing to detect bacteria [ 17 ], although the adaptability of P. aeruginosa has caused problems with these methods. Therefore, it is essential to develop specific genetic systems that can accurately detect this microorganism [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Colorimetric bacteria sensing of Pseudomonas aeruginosa using gold nanoparticle probes

Mousivand

Haddadi

Kamaladini

2023

Journal of Genetic Engineering and Biotechnology

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Background Due to the advantages of molecular methods over biochemical methods, the use of molecular methods for diagnosing nosocomial infections such as Pseudomonas can be an appropriate and rapid way to choose the right diagnosis and treatment of infection and prevent further complications caused by the infection. The present article provides a description of the development of a nanoparticle-based detection technique for sensitive and specific deoxyribonucleic acid-based diagnostic of Pseudomonas aeruginosa. Specific thiolated oligonucleotide probes for one of the hypervariable regions of the 16S rDNA gene were designed and applied for colorimetric detection of the bacteria. Results The results of gold nanoprobe-nucleic sequence amplification indicated the probe attached to gold nanoparticles in the presence of the target deoxyribonucleic acid. It caused aggregation of gold nanoparticles in the form of connected networks resulting in color change and indicating the presence of the target molecule in the sample, which could be observed by the naked eye. In addition, the wavelength of gold nanoparticles changed from 524 to 558 nm. Multiplex polymerase chain reactions were performed using four specific genes of Pseudomonas aeruginosa (oprL, oprI, toxA, and 16S rDNA). The sensitivity and specificity of the two techniques were assessed. According to the observations, the specificity of both techniques was 100%, and the sensitivity was 0.5 ng/μL and 0.01 ng/μL of genomic deoxyribonucleic acid for multiplex polymerase chain reaction and colorimetric assay, respectively. Conclusions The sensitivity of colorimetric detection was about 50 times higher than the polymerase chain reaction using the 16SrDNA gene. The results of our study proved to be highly specific with potential use for early detection of Pseudomonas aeruginosa.

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Rapid detection of Pseudomonas aeruginosa based on lab-on-a-chip platform using immunomagnetic separation, light scattering, and machine learning

Cited by 18 publications

References 33 publications

Advances, applications, and limitations of portable and rapid detection technologies for routinely encountered foodborne pathogens

Advances, applications, and limitations of portable and rapid detection technologies for routinely encountered foodborne pathogens

Recent Progress in Spectroscopic Methods for the Detection of Foodborne Pathogenic Bacteria

Colorimetric bacteria sensing of Pseudomonas aeruginosa using gold nanoparticle probes

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