Chiang, C.-C.; Huang, S.-J.; Immanuel, P.N.; Lan, J.-H.; Lo, F.-Y.; Young, K.-C. Using a 3D Silicon Micro-Channel Device and Raman Spectroscopy for the Analysis of Whole Blood and Abnormal Blood. Micromachines2024, 15, 21.
Chiang, C.-C.; Huang, S.-J.; Immanuel, P.N.; Lan, J.-H.; Lo, F.-Y.; Young, K.-C. Using a 3D Silicon Micro-Channel Device and Raman Spectroscopy for the Analysis of Whole Blood and Abnormal Blood. Micromachines 2024, 15, 21.
Chiang, C.-C.; Huang, S.-J.; Immanuel, P.N.; Lan, J.-H.; Lo, F.-Y.; Young, K.-C. Using a 3D Silicon Micro-Channel Device and Raman Spectroscopy for the Analysis of Whole Blood and Abnormal Blood. Micromachines2024, 15, 21.
Chiang, C.-C.; Huang, S.-J.; Immanuel, P.N.; Lan, J.-H.; Lo, F.-Y.; Young, K.-C. Using a 3D Silicon Micro-Channel Device and Raman Spectroscopy for the Analysis of Whole Blood and Abnormal Blood. Micromachines 2024, 15, 21.
Abstract
Blood testing is a crucial application in the field of clinical studies for disease diagnosis and screening, biomarkers discovery, organ function assessment, and personalized medication. Therefore, it is of utmost importance to collect precise data in a short time. In this study, we utilized Raman spectroscopy to analyze blood samples and extracted comprehensive biological information, including the primary components and compositions present in the blood. We conducted short-wavelength (532 nm green light) Raman scattering spectroscopy on blood samples, plasma, and serum, and subsequently analyzed the biological characteristics detected in each sample type. Our results indicated that whole blood had high hemoglobin content, which suggests that hemoglobin is a major component of blood. The characteristic Raman peaks of hemoglobin were observed at 690, 989, 1015, 1182, 1233, 1315, and 1562–1649 cm−1. Analysis of plasma and serum samples indicated the presence of β-carotene, which exhibited characteristic peaks at 1013, 1172, and 1526 cm−1. Additionally, in the field of medical blood testing, the novel 3D Silicon micro-channel device technology holds immense potential. It can serve as a substrate and helps to detect various diseases and biomarkers, providing real-time data to help medical professionals and patients better understand their health conditions. Changes in biological data collected in this manner could potentially be used to diagnose clinical diseases.
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