A5055887178- Granular flow and fluidized beds
- Food Drying and Modeling
- Microencapsulation and Drying Processes
- Postharvest Quality and Shelf Life Management
- Drug Solubulity and Delivery Systems
- Polysaccharides Composition and Applications
- Surfactants and Colloidal Systems
- Natural Fiber Reinforced Composites
- Insect Resistance and Genetics
- Food Supply Chain Traceability
- Phytochemicals and Antioxidant Activities
- Spectroscopy and Chemometric Analyses
- Enhanced Oil Recovery Techniques
- Crystallization and Solubility Studies
- Machine Learning and Data Classification
- Computational Drug Discovery Methods
- Soil and Unsaturated Flow
- Innovative Microfluidic and Catalytic Techniques Innovation
- Heat Transfer Mechanisms
- Protein purification and stability
- Greenhouse Technology and Climate Control
- Microfluidic and Capillary Electrophoresis Applications
- Genetically Modified Organisms Research
Purdue University West Lafayette
2020-2024
National Dairy Research Institute
2020
Pharmaceutical drug dosage forms are critical for ensuring the effective and safe delivery of active pharmaceutical ingredients to patients. However, traditional formulation development often relies on extensive lab animal experimentation, which can be time-consuming costly. This manuscript presents a generative artificial intelligence method that creates digital versions products from images exemplar products. approach employs an image generator guided by quality attributes, such as...
Abstract Computational Fluid Dynamics (CFD) modeling was used to study the air velocity distribution and analyze unsteady heat transfer temperature pattern during baking of chhana podo (milk cake). At first, a 3‐D geometry oven created, discrete ordinates (DO) radiation model employed predict temperature. The data on progressive changes in thermal properties dough were fed into CFD model. DO found be adequate product, with root mean squared error (RMSE) 1.122 percent relative deviation...
Predicting solar dryer performance under different environmental conditions or assessing their to dry grains is challenging since repeatable full-scale tests are expensive and time consuming. In the present study, computational fluid dynamics approach was used model drying of maize in high-capacity dryers such as greenhouse bubble dryer. The absorption short-wave radiation effect with incident modelled using a dual-band spectrum. distribution airflow, temperature, absolute humidity analysed...
<h2>Abstract</h2> Discharge of powder from a hopper or bin is common operation in solid dosage form manufacture. Powder flow obstruction during hopper/bin discharge, such as arching ratholing, remains an outstanding risk and cannot be reliably diagnosed using the existing function coefficient-based method. In this study, we showed that major principal stress (σ<sub>1</sub>) at outlet required for accurate prediction risks. We noted susceptible to when unconfined yield strength exceeds...
Highlights A GUI tool was developed to predict the adventitious presence in non-GM produce. The software calculates tolerance and probability of GM corn corn. Predicted contamination ranged from 0.050 0.356 at levels ranging 0.1% 5.0%. Abstract. current rate population growth necessitates use viable technologies like genetic modification address estimated global food feed requirements. However, recent years, there has been an increase resistance against diffusion technology around world....
Highlights An android application was developed to analyze broken rice kernels. Maximum length and aspect ratio were good indicators categorize The algorithm had a precision of 95.9% an accuracy 98.0%. Abstract. morphological characteristics grain kernels play important role in identifying the quality rice. Manual sorting inspection is laborious process susceptible human errors. Mechanical separators such as indented cylindrical have also been used separate In recent times, computer vision...