Publications by authors named "Arman Arefi"
Article Synopsis
- Concerns over environmental impacts of biowaste disposal are driving interest in lactic acid bacterial fermentation and optimizing digital bioreactors to mimic biochemical reactions.
- Utilization of spectroscopic techniques (NIR and MIR) and High-Pressure Liquid Chromatography (HPLC) led to successful estimations of glucose and lactic acid contents during fermentation of glucose and biowaste substrates.
- The study found high accuracy in predictive models for glucose substrates; however, the same models struggled with biowaste substrates, suggesting a potential area for improvement in fermentation process monitoring.
The potential of Visual-NIR hyperspectral imaging (VNIR-HSI, 425-1700 nm) to predict celeriac quality attributes during the drying process was investigated. The HSI-Gaussian Process Regression (GPR) fusion method excellently predicted moisture content (MC, R ≈ 1.00, RMSE = 0.
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