Label-free biosensor of phagocytosis for diagnosing bacterial infections

Liao, Junchen; Ren, Jifeng; Huang, Wei Bo; Lam, Raymond H. W.; Chua, Song Lin; Khoo, Bee Luan

doi:10.1016/j.bios.2021.113412

Cited by 17 publications

(10 citation statements)

References 42 publications

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“…Microfluidic chips based on inertial focusing can efficiently sort particles ( Chen et al., 2022 ). Similar applications capitalizing on the intrinsic mechanical and morphological properties of microparticles, including stiffness, size, and shape, have been reported for the label-free enrichment of heterogeneous cell suspensions in liquid biopsies ( Khoo et al., 2019 ; Liao et al., 2021 ).…”

Section: Expected Outcomesmentioning

confidence: 63%

“…Inertial focusing-based microfluidic chips effectively enrich particles of distinct physical attributes from samples in a label-free manner and are therefore promising tools in biomedical applications ( Chen et al., 2022 ; Khoo et al., 2019 ; Liao et al., 2021 ). This protocol demonstrates a unique procedure for enriching and detecting liquid biopsy blasts using a continuous flow BCB system.…”

Section: Before You Beginmentioning

confidence: 99%

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Label-free enrichment of human blast cells from whole blood for leukemia monitoring

Fu¹,

Zou²,

Khoo³

2022

STAR Protocols

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Section: Expected Outcomesmentioning

confidence: 63%

Section: Before You Beginmentioning

confidence: 99%

Label-free enrichment of human blast cells from whole blood for leukemia monitoring

Fu¹,

Zou²,

Khoo³

2022

STAR Protocols

Self Cite

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“…In recent years, microfluidic technology has been widely used in the field of particle detection [15] and biomedicine, such as with point of care testing [16][17][18][19], organs-on-achip [20,21], drug discovery [22], and liquid biopsy [23][24][25][26]. Cell sorting techniques can be divided into label-based and label-free technology [27,28].…”

Section: Discussionmentioning

confidence: 99%

Early Predictor Tool of Disease Using Label-Free Liquid Biopsy-Based Platforms for Patient-Centric Healthcare

Zhou

Deng

et al. 2022

Cancers

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Cancer cells undergo phenotypic changes or mutations during treatment, making detecting protein-based or gene-based biomarkers challenging. Here, we used algorithmic analysis combined with patient-derived tumor models to derive an early prediction tool using patient-derived cell clusters from liquid biopsy (LIQBP) for cancer prognosis in a label-free manner. The LIQBP platform incorporated a customized microfluidic biochip that mimicked the tumor microenvironment to establish patient clusters, and extracted physical parameters from images of each sample, including size, thickness, roughness, and thickness per area (n = 31). Samples from healthy volunteers (n = 5) and cancer patients (pretreatment; n = 4) could be easily distinguished with high sensitivity (91.16 ± 1.56%) and specificity (71.01 ± 9.95%). Furthermore, we demonstrated that the multiple unique quantitative parameters reflected patient responses. Among these, the ratio of normalized gray value to cluster size (RGVS) was the most significant parameter correlated with cancer stage and treatment duration. Overall, our work presented a novel and less invasive approach for the label-free prediction of disease prognosis to identify patients who require adjustments to their treatment regime. We envisioned that such efforts would promote the management of personalized patient care conveniently and cost effectively.

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“…Ozone has an oxidizing ability that can kill bacteria by attacking the molecular structure of their protective membranes and altering internal enzymes [45]. This mechanism is very similar to that used by leukocytes in bacterial phagocytosis [46]. It is also extremely effective against viruses, fungi, mold, pesticides, heavy metals, nitrates, nitrites, and other potentially harmful substances [47].…”

Section: Antibacterial Propertiesmentioning

confidence: 99%

Ozonation of Non-Woven Ultrathin Fibrous Biomaterials for Medical and Packaging Implementations

Alexeeva¹,

Siracusa²,

Konstantinova³

et al. 2024

Ozonation - New Aspects

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Antibiotic resistance of pathogens is among the major concerns in various medical applications. Therefore, the search for the novel antimicrobial agents that could prevent pathogen’s resistance, while maintaining efficient treatment, is one of the most important issues for biomedicine nowadays. One of the relevant methods for the development of functional non-woven materials possessing antimicrobial properties is the use of ozone and ozonolysis products for the modification of fibrous materials. This approach has recently attracted both academic and industrial interest and has found various biomedical applications. Several methods providing antimicrobial properties to textiles using ozone or ozonolysis products were proposed, including encapsulation and/or direct introduction of ozone-generated antimicrobial agents into the fibrous polymer matrix and ozone treatment of non-woven fiber materials. For the latter, the ozonolysis products are uniformly distributed predominantly on the polymer surface but could be also formed inside the polymer bulk due to ozone diffusion through the amorphous areas or defects. It was found that ozone modification of fibrous materials could lead to increase in hydrophilicity and improvement in their functional properties (smoothness, elasticity, strength, antimicrobial activity). In this chapter, various aspects of ozone modification of non-woven fiber materials for biomedical applications are reported and discussed.

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Label-free biosensor of phagocytosis for diagnosing bacterial infections

Cited by 17 publications

References 42 publications

Label-free enrichment of human blast cells from whole blood for leukemia monitoring

Label-free enrichment of human blast cells from whole blood for leukemia monitoring

Early Predictor Tool of Disease Using Label-Free Liquid Biopsy-Based Platforms for Patient-Centric Healthcare

Ozonation of Non-Woven Ultrathin Fibrous Biomaterials for Medical and Packaging Implementations

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