| Literature DB >> 32403342 |
Lan Yao1, Lingyan Zheng1, Gaozhe Cai1, Siyuan Wang1, Lei Wang1, Jianhan Lin1.
Abstract
Salmonella is a main cause of foodborne illnesses and rapid screening of Salmonella is the key to prevent Salmonella outbreaks, however available detection methods either require a long time, or need complex pretreatment, or have low sensitivity. In this study, a microfluidic biosensor was developed for Salmonella detection using viscoelastic inertial microfluidics for separating magnetic bacteria from unbound magnetic nanoparticles (MNPs) and enzyme catalytic colorimetry for amplifying biological signals. The polyclonal antibodies and horseradish peroxidase (HRP) modified MNPs were first used to specifically capture Salmonella to form magnetic HRP-bacteria. Both magnetic HRP-bacteria and unbound MNPs were magnetically separated from background and resuspended in viscoelastic polyvinylpyrrolidone solution as sample flow. When sample flow was injected with polyvinylpyrrolidone sheath flow into a T-shaped microchannel, larger-sized magnetic HRP-bacteria could penetrate the sample flow, however smaller-sized MNPs remained in the sample flow due to weaker inertial lift force and elastic lift force, resulting in continuous-flow separation of magnetic HRP-bacteria. Finally, magnetic HRP-bacteria were collected and concentrated to catalyze tetramethyl benzidine, and absorbance was measured to determine the bacteria. This biosensor was able to detect Salmonella as low as 30 CFU/mL in 1 h and featured the advantages of shorter time due to a one-step immunoreaction, easier extension due to only one antibody and one label, and lower cost due to less expensive materials.Entities:
Keywords: bacteria detection; enzyme catalytic colorimetry; microfluidic biosensor; particle separation; viscoelastic inertial microfluidics
Mesh:
Substances:
Year: 2020 PMID: 32403342 PMCID: PMC7248794 DOI: 10.3390/s20092738
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576
Figure 1Schematic of the microfluidic biosensor based on viscoelastic particle separation and enzyme catalytic colorimetry.
Figure 2(a) Images at the expansion of the main-branch for the aggregation of the particles with the diameter of 2.2 µm in 600 kDa polyethylene oxide (PEO), 2000 kDa PEO, 10 kDa polyvinyl pyrrolidone (PVP), 40 kDa PVP and 360 kDa PVP at the velocity range from 0.01 mL/h to 2.20 mL/h; (b) images at the expansion of the main-branch for the aggregation of the particles with the diameter of 2.2 µm in different concentrations of 360 kDa PVP (0.5%, 1.0%, 2.0% and 4.0%) at the velocity range from 0.01 mL/h to 0.80 mL/h.
Figure 3(a) Images at the expansion of the main-branch for the separation of the 2.2 µm particles (in the middle of the microchannel) and the 100 nm particles (near the bottom sidewall of the microchannel) in 360 kDa PVP at different velocity ratios (α = 15, 12.5 and 10); (b) images at the expansion of the main-branch for the separation of the 2.2 µm particles (in the middle of the microchannel) and the 100 nm particles (near the bottom sidewall of the microchannel) in 360 kDa PVP at different sheath flow rates (1, 1.2 and 1.5 mL/h) and the same velocity ratio of 10.
Figure 4The separation efficiency and absorbance for the MNPs with different ratios of antibody to horseradish peroxidase (HRP) (N = 3).
Figure 5Detection of Salmonella Typhimurium in Pure Sample. (a) The absorbance spectra for different concentrations of Salmonella typhimurium in pure samples; (b) the linear relationship between the absorbance of catalysate and the concentration of Salmonella typhimurium in pure samples (N = 3); (c) Comparison of separation efficiency and absorbance of target bacteria and non-target bacteria (N = 3).
Detection of Salmonella typhimurium in apple juice using this biosensor (N = 3).
| Spiked Conc. (CFU/mL) | Absorbance | Detected Conc. (CFU/mL) | Recovery | CV |
|---|---|---|---|---|
| 0 | 0.128 | ND a | - | - |
| 138 | 0.231 | 171 | 124% | 1.5% |
| 1380 | 0.306 | 1144 | 83% | 1.0% |
| 13,800 | 0.401 | 12,284 | 89% | 0.5% |
| 138,000 | 0.497 | 135,543 | 98% | 0.7% |
| 1,380,000 | 0.595 | 1,588,333 | 115% | 1.8% |
a ND: Not Detectable.