Protein Quantitation in Latex Glove Images With Colorimetric Analysis
The medical gloves made from Natural Rubber Latex (NRL) have seen as an essential item for a healthcare worker. These gloves offer excellent protection to the user against harmful microorganisms and also reduce the risk of cross-contamination between patient and healthcare worker. However, NRL is ri...
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| Format: | Thesis |
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2020
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| Summary: | The medical gloves made from Natural Rubber Latex (NRL) have seen as an essential item for a healthcare worker. These gloves offer excellent protection to the user against harmful microorganisms and also reduce the risk of cross-contamination between patient and healthcare worker. However, NRL is rich in protein mixture, in which certain types of proteins can cause latex allergies. The latex glove with high protein concentration are likely to cause latex allergies to the user. Thus, to avoid the development of an allergic reaction, the protein level must be quantitated. In the past, several existing total protein determination tests such as modified Lowry microplate, and Bradford microplate have been implemented. Those existing tests will determine the presence of proteins in the solution through the colour changes to blue. After that, the saturation of blue will be analysed using existing quantitation methods such as Spectrophotometric, Smartphone for Point-of-Care, Colorimetric Microwell, and Digital Photometric to quantitate the total protein value. Since numerous chemical and laboratory equipment are used, the process of existing total protein determination tests is complicated, costly, and time-consuming. While for the existing quantitation methods, most of them need to take consideration of the light interference as it will affect the sample colour. Therefore, to overcome those limitations, a novel total protein determination test and quantitation method named Glove Surfaced Based Protein Binding (GSPB) and Computerised Colorimetric Protein Quantitation (CCPQ) are proposed. The GSPB is a simple yet efficient chemical test, which uses only Bradford assay to bind with the sample surface. If the colour of sample surface become blue, it indicates the presence of protein in sample. After that, the sample will be weighed using the analytical balances and converted into digital image by scanner. The image will then analysed using the CCPQ method. This method consists of a technique called Colour Domain Delta E (CDDE), which calculates the colour difference Delta E (ΔE) value between the raw and chemical stained sample image. The experimental ΔE value will be evaluated using the Squared Polynomial Exponential Covariance (SPEC) function to predict and quantitated the total protein concentration of the sample. The result showed that SPEC function is able to achieve R2 up to 0.9985, indicating that 99.85% of the actual values are explained by the predicted total protein values. |
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