Rapid and label-free classification of pathogens based on light scattering, reduced power spectral features and support vector machine

Hussain, Mubashir; Chen, Zhe; Lv, Mu; Xu, Jingyi; Dong, Xiaohan; Zhao, J.; Li, Song; Deng, Yan; He, Nongyue; Li, Zhiyang; Liu, Bin

doi:10.1016/j.cclet.2020.04.038

Cited by 22 publications

(8 citation statements)

References 21 publications

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“…The device classified the pathogens E. faecalis , E. coli, and S. aureus with an accuracy of 99%, 87%, and 94%, respectively. The overall classification accuracy of the machine learning model was 93.6% [ 94 ]. The technique can detect and identify pathogens with 50–60 microbes in a volume of 10 mL.…”

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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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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“…The targets of biosensors also include the pathogens that cause diseases in humans, such as cancerous cells, harmful bacteria, and viruses [ 127 , 128 , 129 , 130 , 131 ]. The main method of detecting cells and bacteria was achieved by the interaction between cell membranes and compounds that have a strong affinity for cells and bacteria [ 132 , 133 ].…”

Section: Overview Of Lc Droplet-based Biosensors For Poc Diagnosis Of...mentioning

confidence: 99%

Liquid Crystal Droplet-Based Biosensors: Promising for Point-of-Care Testing

Xie

et al. 2022

Biosensors

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The development of biosensing platforms has been impressively accelerated by advancements in liquid crystal (LC) technology. High response rate, easy operation, and good stability of the LC droplet-based biosensors are all benefits of the long-range order of LC molecules. Bioprobes emerged when LC droplets were combined with biotechnology, and these bioprobes are used extensively for disease diagnosis, food safety, and environmental monitoring. The LC droplet biosensors have high sensitivity and excellent selectivity, making them an attractive tool for the label-free, economical, and real-time detection of different targets. Portable devices work well as the accessory kits for LC droplet-based biosensors to make them easier to use by anyone for on-site monitoring of targets. Herein, we offer a review of the latest developments in the design of LC droplet-based biosensors for qualitative target monitoring and quantitative target analysis.

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“…Globally, liver cancer has the third highest fatality rate, second only to lung cancer and gastric cancer [ 3 ]. Liver cancer is difficult to detect at the early stage and develops rapidly, however, various devices developed recently may be modified and applied to detect it [ 111 , 112 , 113 ]. Conventional treatments of liver cancer include surgical resection, liver transplantation, radiotherapy, and chemotherapy, but these treatments suffer from side effects of varying degrees.…”

Section: Aptamer-bound Nanomaterials Used In Different Cancer Therapiesmentioning

confidence: 99%

Applications of Aptamer-Bound Nanomaterials in Cancer Therapy

et al. 2021

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Cancer is still a major disease that threatens human life. Although traditional cancer treatment methods are widely used, they still have many disadvantages. Aptamers, owing to their small size, low toxicity, good specificity, and excellent biocompatibility, have been widely applied in biomedical areas. Therefore, the combination of nanomaterials with aptamers offers a new method for cancer treatment. First, we briefly introduce the situation of cancer treatment and aptamers. Then, we discuss the application of aptamers in breast cancer treatment, lung cancer treatment, and other cancer treatment methods. Finally, perspectives on challenges and future applications of aptamers in cancer therapy are discussed.

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Rapid and label-free classification of pathogens based on light scattering, reduced power spectral features and support vector machine

Cited by 22 publications

References 21 publications

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

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

Liquid Crystal Droplet-Based Biosensors: Promising for Point-of-Care Testing

Applications of Aptamer-Bound Nanomaterials in Cancer Therapy

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