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Pulse01:16

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When the heart pumps blood out, arterial elastic fibers play a crucial role in sustaining a high-pressure gradient. They expand to accommodate the received blood and then recoil - a process known as the pulse that can be either manually palpated or electronically quantified. Despite a reduction in its effect with increased distance from the heart, elements of the pulse's systolic and diastolic components persist, observable even at the arteriole level.
The pulse serves as a clinical...
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The pulse is one of the most fundamental physiological indicators of the body's cardiovascular health. It is the rhythmic expansion and contraction of the arterial walls in response to the pressure generated by the heart's pumping action.
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According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
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Sensory receptors play an integral part in comprehending our external and internal environments. They receive diverse stimuli, converting them into the nervous system's electrochemical signals. This conversion occurs as the stimulus alters the sensory neuron's cell membrane potential, instigating the generation of an action potential. This action potential is subsequently transmitted to the central nervous system (CNS), which integrates with other sensory data or higher cognitive...
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A pulse is a short burst of radio waves distributed over a range of frequencies that simultaneously excites all the nuclei in the sample. Upon passing a radio frequency pulse along the x-axis, the nuclei absorb energy corresponding to their Larmor frequencies and achieve resonance. This shifts the net magnetization vector from the z-axis toward the transverse plane. This angle of rotation of the magnetization vector, or the flip angle, is proportional to the duration and intensity of the pulse.
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Particle detection on microfluidic chips by differential resistive pulse sensing (RPS) method.

Ran Peng1, Dongqing Li1

  • 1Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1.

Talanta
|April 21, 2018
PubMed
Summary

Resistive pulse sensing (RPS) effectively characterizes particles using microfluidic chips. Optimizing parameters like particle size, ionic concentration, and voltage enhances nanoparticle detection sensitivity and signal quality.

Keywords:
Nanoparticle detectionResistive pulse sensing (RPS)Signal-to-noise ratioWorking parameter optimization

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Area of Science:

  • Biotechnology
  • Nanotechnology
  • Analytical Chemistry

Background:

  • Resistive pulse sensing (RPS) is a sensitive technique for analyzing particles, cells, and biomolecules.
  • Microfluidic chips offer a platform for precise control and analysis in particle characterization.

Purpose of the Study:

  • To investigate key working parameters influencing the detection of submicron and micron-sized particles using differential RPS on microfluidic chips.
  • To determine how particle-to-sensor size ratio, ionic concentration, pH, and electric field affect RPS signal characteristics.

Main Methods:

  • Differential resistive pulse sensing (RPS) on microfluidic chips.
  • Systematic variation of particle size (140 nm to 5 µm), ionic concentration, pH, and applied electric field.
  • Analysis of signal amplitude and signal-to-noise ratio (SNR) for polystyrene particles.

Main Results:

  • Signal amplitude and SNR increase with particle-to-sensor size ratio and ionic concentration.
  • Signal amplitude rises with applied voltage; SNR shows an initial increase followed by a decrease at higher voltages.
  • High pH reduces signal amplitude, while sensor-particle interactions may cause signal grouping.

Conclusions:

  • Optimizing working parameters significantly enhances nanoparticle detection via differential RPS.
  • Understanding parameter effects is crucial for improving the sensitivity and resolution of particle characterization using RPS.