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Po Sian Teo on Muck Rack

Po Sian Teo

As seen in: Taylor & Francis Online
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Articles

Hyperspectral Imaging with Enhanced Partial Least Squares Regression (PLSR) for Accurate Sago Powder Quality Evaluation

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By Mainak Das Verified, Agus Saptoro, Po Sian Teo, Lee Ming Hao
| Taylor & Francis Online
Abstract This study presents a novel approach to accurately estimate calcium hypochlorite (CHC) concentrations in sago flour using hyperspectral imaging (HSI) and regression models. As consumers prefer pure white sago, CHC is a bleaching additive that is added to sago powder to whiten its appearance. Spectral data from 380 to 1,100 nm reveals the spectral characteristics of sago samples with CHC concentrations of 0.005–2 wt%.
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