Surface-enhanced raman spectroscopy for hemozoin detection
Diagnosing malaria at the early stages of infection is very important as the disease, if left untreated, will quickly aggravate and become fatal upon manifestation of the first symptoms. For the detection of malaria, hemozoin, the by-product of the parasite’s digestion of erythrocytes, is often used...
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sg-ntu-dr.10356-683632023-03-03T15:39:27Z Surface-enhanced raman spectroscopy for hemozoin detection Liew, Vanessa Wan Qi Liu Quan School of Chemical and Biomedical Engineering DRNTU::Engineering Diagnosing malaria at the early stages of infection is very important as the disease, if left untreated, will quickly aggravate and become fatal upon manifestation of the first symptoms. For the detection of malaria, hemozoin, the by-product of the parasite’s digestion of erythrocytes, is often used as a biomarker. However, the low concentration of hemozoin during the initial stages of malaria infection makes early diagnosis difficult. Current diagnosis methods are constantly being improved and new techniques have been developed in order to detect malaria parasites quickly and accurately. Surface-enhanced Raman spectroscopy (SERS) has emerged as one of the fastest and most accurate methods to detect early stage malaria parasites. In order to further enhance the Raman signals so that even hemozoin at low concentrations can be accurately detected, the utilization of common SERS-active substrates such as silver and gold colloids have been explored. In this paper, we will be presenting the use of two SERS-active substrates, namely Fe3O4@Ag and silver nanoparticles for the detection of hemozoin. We observe greater sensitivity and accuracy from the Fe3O4@Ag nanoparticles in comparison to the commonly used silver nanoparticles, which highlights its potential in aiding in the early diagnosis of malaria. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2016-05-25T07:41:55Z 2016-05-25T07:41:55Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/68363 en Nanyang Technological University 50 p. application/pdf |
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DRNTU::Engineering Liew, Vanessa Wan Qi Surface-enhanced raman spectroscopy for hemozoin detection |
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Diagnosing malaria at the early stages of infection is very important as the disease, if left untreated, will quickly aggravate and become fatal upon manifestation of the first symptoms. For the detection of malaria, hemozoin, the by-product of the parasite’s digestion of erythrocytes, is often used as a biomarker. However, the low concentration of hemozoin during the initial stages of malaria infection makes early diagnosis difficult. Current diagnosis methods are constantly being improved and new techniques have been developed in order to detect malaria parasites quickly and accurately. Surface-enhanced Raman spectroscopy (SERS) has emerged as one of the fastest and most accurate methods to detect early stage malaria parasites. In order to further enhance the Raman signals so that even hemozoin at low concentrations can be accurately detected, the utilization of common SERS-active substrates such as silver and gold colloids have been explored. In this paper, we will be presenting the use of two SERS-active substrates, namely Fe3O4@Ag and silver nanoparticles for the detection of hemozoin. We observe greater sensitivity and accuracy from the
Fe3O4@Ag nanoparticles in comparison to the commonly used silver nanoparticles, which highlights its potential in aiding in the early diagnosis of malaria. |
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Liu Quan |
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Liu Quan Liew, Vanessa Wan Qi |
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Final Year Project |
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Liew, Vanessa Wan Qi |
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Liew, Vanessa Wan Qi |
title |
Surface-enhanced raman spectroscopy for hemozoin detection |
title_short |
Surface-enhanced raman spectroscopy for hemozoin detection |
title_full |
Surface-enhanced raman spectroscopy for hemozoin detection |
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Surface-enhanced raman spectroscopy for hemozoin detection |
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Surface-enhanced raman spectroscopy for hemozoin detection |
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surface-enhanced raman spectroscopy for hemozoin detection |
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2016 |
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http://hdl.handle.net/10356/68363 |
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1759857313696448512 |