Microfluidic Chip for Quantitatively Assessing Hemorheological Parameters
The biomechanical properties of blood are regarded as promising biomarkers for monitoring early-stage abnormalities and disease progression. To detect any changes in blood, it is necessary to measure as many rheological properties as possible. Herein, a novel method is proposed for measuring multipl...
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MDPI AG
2025-05-01
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| author | Yang Jun Kang |
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| description | The biomechanical properties of blood are regarded as promising biomarkers for monitoring early-stage abnormalities and disease progression. To detect any changes in blood, it is necessary to measure as many rheological properties as possible. Herein, a novel method is proposed for measuring multiple rheological properties of blood using a microfluidic chip. The syringe pump turns off for 5 min to induce RBC (red blood cell) sedimentation in the driving syringe. RBC aggregation is determined by analyzing the time-lapse blood image intensity at stasis: <i>I</i>(<i>t</i>) = <i>I</i><sub>1</sub> exp (−<i>k</i><sub>1</sub><i>t</i>) + <i>I</i><sub>2</sub> exp (−<i>k</i><sub>2</sub><i>t</i>). RBC-rich blood and RBC-depleted blood are sequentially infused into the microfluidic chip. Based on blood pressure estimated with time-lapse blood velocity, blood viscosity is acquired with the Hagen–Poiseuille law. RBC sedimentation is quantified as RBC sedimentation distance (<i>X<sub>esr</sub></i>) and erythrocyte sedimentation rate (ESR). The proposed method provides a consistent viscosity compared with previous methods. Two of the four variables (<i>I</i><sub>1</sub>, <i>I</i><sub>2</sub>) exhibited a strong correlation with the conventional RBC aggregation index (AI). The indices <i>X<sub>esr</sub></i> and ESR showed consistent trends with respect to the blood medium and hematocrit. In conclusion, the proposed method is then regarded as effective for monitoring multiple rheological properties. |
| format | Article |
| id | doaj-art-04f7d281e3764c4dab87c93c838542ef |
| institution | Kabale University |
| issn | 2072-666X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
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| series | Micromachines |
| spelling | doaj-art-04f7d281e3764c4dab87c93c838542ef2025-08-20T03:48:01ZengMDPI AGMicromachines2072-666X2025-05-0116556710.3390/mi16050567Microfluidic Chip for Quantitatively Assessing Hemorheological ParametersYang Jun Kang0Department of Mechanical Engineering, Chosun University, 10, Chosundae 1-gil, Dong-gu, Gwangju 61452, Republic of KoreaThe biomechanical properties of blood are regarded as promising biomarkers for monitoring early-stage abnormalities and disease progression. To detect any changes in blood, it is necessary to measure as many rheological properties as possible. Herein, a novel method is proposed for measuring multiple rheological properties of blood using a microfluidic chip. The syringe pump turns off for 5 min to induce RBC (red blood cell) sedimentation in the driving syringe. RBC aggregation is determined by analyzing the time-lapse blood image intensity at stasis: <i>I</i>(<i>t</i>) = <i>I</i><sub>1</sub> exp (−<i>k</i><sub>1</sub><i>t</i>) + <i>I</i><sub>2</sub> exp (−<i>k</i><sub>2</sub><i>t</i>). RBC-rich blood and RBC-depleted blood are sequentially infused into the microfluidic chip. Based on blood pressure estimated with time-lapse blood velocity, blood viscosity is acquired with the Hagen–Poiseuille law. RBC sedimentation is quantified as RBC sedimentation distance (<i>X<sub>esr</sub></i>) and erythrocyte sedimentation rate (ESR). The proposed method provides a consistent viscosity compared with previous methods. Two of the four variables (<i>I</i><sub>1</sub>, <i>I</i><sub>2</sub>) exhibited a strong correlation with the conventional RBC aggregation index (AI). The indices <i>X<sub>esr</sub></i> and ESR showed consistent trends with respect to the blood medium and hematocrit. In conclusion, the proposed method is then regarded as effective for monitoring multiple rheological properties.https://www.mdpi.com/2072-666X/16/5/567microrheologymicrofluidic chipblood viscosityRBC aggregationRBC sedimentation rate |
| spellingShingle | Yang Jun Kang Microfluidic Chip for Quantitatively Assessing Hemorheological Parameters Micromachines microrheology microfluidic chip blood viscosity RBC aggregation RBC sedimentation rate |
| title | Microfluidic Chip for Quantitatively Assessing Hemorheological Parameters |
| title_full | Microfluidic Chip for Quantitatively Assessing Hemorheological Parameters |
| title_fullStr | Microfluidic Chip for Quantitatively Assessing Hemorheological Parameters |
| title_full_unstemmed | Microfluidic Chip for Quantitatively Assessing Hemorheological Parameters |
| title_short | Microfluidic Chip for Quantitatively Assessing Hemorheological Parameters |
| title_sort | microfluidic chip for quantitatively assessing hemorheological parameters |
| topic | microrheology microfluidic chip blood viscosity RBC aggregation RBC sedimentation rate |
| url | https://www.mdpi.com/2072-666X/16/5/567 |
| work_keys_str_mv | AT yangjunkang microfluidicchipforquantitativelyassessinghemorheologicalparameters |