Continuous Monitoring of Erythrocyte Sedimentation Process: A New Possible Mechanism of Erythrocyte Sedimentation

Kuo, Cheng‐Deng; Bai, Jing-Jang; Chang, I-Te; Wang, Jia-Horng; Chien, Shu

doi:10.1115/1.3108458

Cited by 7 publications

(1 citation statement)

References 8 publications

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“…The spectral and correlation analyses of the dynamics of biological processes give information essential for understading of their mechanisms [56]. Kuo et al [57] reported evidence for a nonmonotonic character of the blood sedimentation process.…”

Section: Dynamics Of Blood Sedimentation Rate As a Biosensormentioning

confidence: 99%

Metrological approaches to drug development. Fast screening using universal biosensors at the stage of drug development

et al. 2012

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We expect that in the near future drug development will become the most interesting and demanded application of the suggested approach. Taking a known drug as the reference point and performing its chemical modification, one can sharply reduce the time and financial expenses for bioactivity testing of new substances and experimentally predict its general toxicity on a biological model the most adequate to human body.Development and commercialization of a new drug is a long-term and expensive process. It takes 10-20 for a biologically active substance to pass way from laboratory synthesis or isolation to application as a drug [1]. If 20 years ago this process costed slightly more than $300 mln, then now the cost may reach $1 bln. Therewith, only 3 of 5 newly commercialized drugs make a profit greater or equal to expenses on its development.One of the approaches to the problem of reduction of terms and costs of drug development involves screening of biologically active substances and drugs on their basis at the development stage. Such screening can be performed by means of biosensors.The end of XX century was marked by the advent of a new field of science-biosensing. Unfortunately, already in a few years the term "biosensors" started to be related to electronic devices, and attention started to be focused exclusively on the development of high-selectivity specific biosensors. However, with time, researchers returned to nonspecific universal bio-sensors on the basis of live systems. Biosensing as one of the components of the methodology of drug development allows fast selection of physiologically active substances as potential candidates for medical applications.

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Section: Dynamics Of Blood Sedimentation Rate As a Biosensormentioning

confidence: 99%

Metrological approaches to drug development. Fast screening using universal biosensors at the stage of drug development

et al. 2012

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Spectroscopic characterization of antibodies adsorbed to aluminium adjuvants: correlation with antibody vaccine immunogenicity

Capelle

Brugger

Arvinte

2005

Vaccine

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A digital sedimentator for measuring erythrocyte sedimentation rate using a linear image sensor

Yoshikoshi

Sakanishi

Toyama

2004

Review of Scientific Instruments

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A digital apparatus was fabricated to determine accurately the erythrocyte sedimentation rate (ESR) using a linear image sensor. Currently, ESR is utilized for clinical diagnosis, and in the laboratory as one of the many rheological properties of blood through the settling of red blood cells (RBCs). In this work, we aimed to measure ESR automatically using a small amount of a sample and without moving parts. The linear image sensor was placed behind a microhematocrit tube containing 36 μl of RBC suspension on a holder plate; the holder plate was fixed on an optical bench together with a tungsten lamp and an opal glass placed in front. RBC suspensions were prepared in autologous plasma with hematocrit H from 25% to 44%. The intensity profiles of transmitted light in 36 μl of RBC suspension were detected using the linear image sensor and sent to a personal computer every minute. ESR was observed at the settling interface between the plasma and RBC suspension in the profile in 1024 pixels (25 μm/pixel) along a microhematocrit tube of 25.6 mm total length for 1 h at a temperature of 37.0±0.1 °C. First, we determined the initial pixel position of the sample at the boundary with air. The boundary and the interface were defined by inflection points in the profile with 25 μm resolution. We obtained sedimentation curves that were determined by the RBC settling distance l(t) at the time t from the difference between pixel locations at the boundary and the interface. The sedimentation curves were well fitted to an empirical equation [Puccini et al., Biorheol. 14, 43 (1977)] from which we calculated the maximum sedimentation velocity smax at the time tmax. We reached tmax within 30 min at any H, and smax linearly related to the settling distance l(60) at 60 min after the start of sedimentation from 30% to 44% H with the correlation coefficient r=0.993. Thus, we may estimate conventional ESR at 1 h from smax more quickly and accurately with less effort.

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Continuous Monitoring of Erythrocyte Sedimentation Process: A New Possible Mechanism of Erythrocyte Sedimentation

Cited by 7 publications

References 8 publications

Metrological approaches to drug development. Fast screening using universal biosensors at the stage of drug development

Metrological approaches to drug development. Fast screening using universal biosensors at the stage of drug development

Spectroscopic characterization of antibodies adsorbed to aluminium adjuvants: correlation with antibody vaccine immunogenicity

A digital sedimentator for measuring erythrocyte sedimentation rate using a linear image sensor

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