6 results on '"Kent Rausch"'
Search Results
2. Global calibration for non-targeted fraud detection in quinoa flour using portable hyperspectral imaging and chemometrics
- Author
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Qianyi Wu, Magdi A.A. Mousa, Adel D. Al-Qurashi, Omer H.M. Ibrahim, Kamal A.M. Abo-Elyousr, Kent Rausch, Ahmed M.K. Abdel Aal, and Mohammed Kamruzzaman
- Subjects
VNIR hyperspectral imaging ,Adulteration ,Quinoa flour ,PLSR ,BOSS ,Visualization ,Nutrition. Foods and food supply ,TX341-641 ,Food processing and manufacture ,TP368-456 - Abstract
Quinoa is one of the highest nutritious grains, and global consumption of quinoa flour has increased as people pay more attention to health. Due to its high value, quinoa flour is susceptible to adulteration. Cross-contamination between quinoa flour and other flour can be easily neglected due to their highly similar appearance. Therefore, detecting adulteration in quinoa flour is important to consumers, industries, and regulatory agencies. In this study, portable hyperspectral imaging in the visible near-infrared (VNIR) spectral range (400–1000 nm) was applied as a rapid tool to detect adulteration in quinoa flour. Quinoa flour was adulterated with wheat, rice, soybean, and corn in the range of 0–98% with 2% increments. Partial least squares regression (PLSR) models were developed, and the best model for detecting the % authentic flour (quinoa) was obtained by the raw spectral data with R2p of 0.99, RMSEP of 3.08%, RPD of 8.77, and RER of 25.32. The model was improved, by selecting only 13 wavelengths using bootstrapping soft shrinkage (BOSS), to R2p of 0.99, RMSEP of 2.93%, RPD of 9.18, and RER of 26.60. A visualization map was also generated to predict the level of quinoa in the adulterated samples. The results of this study demonstrate the ability of VNIR hyperspectral imaging for adulteration detection in quinoa flour as an alternative to the complicated traditional method.
- Published
- 2023
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3. Dry Matter Loss and Lipid Oxidation Evaluation of Soybeans During Storage at Elevated Temperatures and Moisture Content
- Author
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Mariane Pastorelli Latanze, Richard S. Gates, Keith Cadwallader, Mohammed Kamruzzaman, Mike Tumbleson, and Kent Rausch
- Abstract
HighlightsRates of dry matter loss and lipid oxidation increased as moisture content and temperature increased.Temperature effects were smaller than moisture content effects.Sums of hexanal and 1-hexanol concentrations were used as lipid oxidation indicators during storage.Lipid oxidation products were correlated positively with dry matter loss (r = 0.88) and dry matter loss rates (r = 0.84).Abstract. After harvest, soybeans are susceptible to physical, chemical, and biological changes. Prolonged storage under unfavorable conditions, such as elevated temperature and moisture content (m.c.), is responsible for accelerating dry matter loss (DML) rates and lipid oxidation (LO). Knowledge of DML rates (vDML) is useful in developing maximum allowable storage time (MAST) guidelines for soybeans. In addition to DML, monitoring changes in the lipid fraction is essential to assess quality since soybeans are valued for their oil content. The objective of this study was to estimate DML and LO of soybeans during a 30-d period over a wide range of m.c. (14% to 22%wb m.c.) and temperature (25 to 35°C), which were chosen based on climate conditions from low latitude regions where major soybean producing countries are located. A series of respiration tests were conducted using a static grain respiration measurement system with a sensor unit to monitor carbon dioxide (CO2) concentration, which was used to estimate DML. After each respiration test, samples were collected for chemical analysis. Headspace-solid phase microextraction gas chromatography-mass spectrometry was employed to determine volatile compound concentrations, which served as LO indicators. Moreover, volatile compound analysis was also used to evaluate the formation of anaerobic respiration products and other compounds that can affect soybean quality during storage. There was an increase in vDML with increased m.c. and temperature. Across the temperature range chosen, vDML increased 40 to 46 times for soybeans at 18%wb m.c. compared to 14%wb m.c. and 2.7 to 3.7 times for soybeans at 22%wb m.c. compared to 18%wb m.c. Temperature effects on vDML were smaller than moisture effects. vDML increased 1.1 to 3.5 times across the temperature range tested at constant moisture. Changes in storage conditions also affected the formation of volatile compounds. The sum of hexanal and 1-hexanol concentrations (ppm), used as LO indicators, was higher in samples with elevated m.c. Concentrations of these compounds increased 1.3 to 5 times for 22%wb soybeans compared to 18%wb m.c. and 4.6 to 11.8 times for samples at 18%wb compared to 14%wb m.c. at the same temperature. LO products were positively correlated with DML (r = 0.88) and vDML (r = 0.84); this confirmed that lipids are degraded in addition to DML when soybeans are subjected to unfavorable storage conditions. This correlation can be useful to improve MAST guidelines based on qualitative and quantitative deterioration. Keywords: Dry matter loss, Grain storage, Lipid oxidation, Respiration, Soybeans, Volatile compounds.
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- 2022
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4. Coprocessing Corn Germ Meal for Oil Recovery and Ethanol Production: A Process Model for Lipid-Producing Energy Crops
- Author
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Yuyao Jia, Deepak Kumar, Jill K. Winkler-Moser, Bruce Dien, Kent Rausch, Mike E. Tumbleson, and Vijay Singh
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Process Chemistry and Technology ,food and beverages ,Chemical Engineering (miscellaneous) ,Bioengineering ,oil-bearing energy crops ,corn germ meal ,oil recovery ,cellulosic ethanol - Abstract
Efforts to engineer high-productivity crops to accumulate oils in their vegetative tissue present the possibility of expanding biodiesel production. However, processing the new crops for lipid recovery and ethanol production from cell wall saccharides is challenging and expensive. In a previous study using corn germ meal as a model substrate, we reported that liquid hot water (LHW) pretreatment enriched the lipid concentration by 2.2 to 4.2 fold. This study investigated combining oil recovery with ethanol production by extracting oil following LHW and simultaneous saccharification and co-fermentation (SSCF) of the biomass. Corn germ meal was again used to model the oil-bearing energy crops. Pretreated germ meal hydrolysate or solids (160 and 180 °C for 10 min) were fermented, and lipids were extracted from both the spent fermentation whole broth and fermentation solids, which were recovered by centrifugation and convective drying. Lipid contents in spent fermentation solids increased 3.7 to 5.7 fold compared to the beginning germ meal. The highest lipid yield achieved after fermentation was 36.0 mg lipid g−1 raw biomass; the maximum relative amount of triacylglycerol (TAG) was 50.9% of extracted oil. Although the fermentation step increased the lipid concentration of the recovered solids, it did not improve the lipid yields of pretreated biomass and detrimentally affected oil compositions by increasing the relative concentrations of free fatty acids.
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- 2022
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5. Effect of Resistant Starch on Hydrolysis and Fermentation of Corn Starch for Ethanol.
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Vivek Sharma, Kent Rausch, James Graeber, Shelly Schmidt, Philip Buriak, M. Tumbleson, and Vijay Singh
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Abstract Starch samples with 0% or 30% amylose were subjected to four different liquefaction enzyme treatments (at various temperature and pH conditions) followed by simultaneous saccharification and fermentation (SSF). Resistant starch (RS) measurements were conducted for the initial starch sample, after liquefaction and after SSF. Initial RS was higher for 30% amylose starch samples (16.53 g/100 g sample) compared with 0% amylose (0.76 g/100 g sample). Higher initial RS resulted in lower conversion of starch into sugars and lower final ethanol yields. The four enzymes hydrolyzed RS, but in varying amounts. Higher temperature liquefaction hydrolyzed a larger portion of RS, resulting in higher ethanol concentrations and lower final residual solids (non-fermentables), whereas lower temperature liquefaction hydrolyzed a smaller portion of RS and resulted in lower ethanol concentrations and higher final residual solids. Decreases in resistant starch after high temperature liquefaction were 55% to 74%, whereas low temperature liquefaction decreases were 11% to 43%. For all enzyme treatments, RS content of starch samples decreased further after SSF. [ABSTRACT FROM AUTHOR]
- Published
- 2010
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6. Thin stillage fractionation using ultrafiltration: resistance in series model.
- Author
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Amit Arora, Bruce Dien, Ronald Belyea, Ping Wang, Vijay Singh, M. Tumbleson, and Kent Rausch
- Abstract
Abstract The corn based dry grind process is the most widely used method in the US for fuel ethanol production. Fermentation of corn to ethanol produces whole stillage after ethanol is removed by distillation. It is centrifuged to separate thin stillage from wet grains. Thin stillage contains 5–10% solids. To concentrate solids of thin stillage, it requires evaporation of large amounts of water and maintenance of evaporators. Evaporator maintenance requires excess evaporator capacity at the facility, increasing capital expenses, requiring plant slowdowns or shut downs and results in revenue losses. Membrane filtration is one method that could lead to improved value of thin stillage and may offer an alternative to evaporation. Fractionation of thin stillage using ultrafiltration was conducted to evaluate membranes as an alternative to evaporators in the ethanol industry. Two regenerated cellulose membranes with molecular weight cut offs of 10 and 100 kDa were evaluated. Total solids (suspended and soluble) contents recovered through membrane separation process were similar to those from commercial evaporators. Permeate flux decline of thin stillage using a resistance in series model was determined. Each of the four components of total resistance was evaluated experimentally. Effects of operating variables such as transmembrane pressure and temperature on permeate flux rate and resistances were determined and optimum conditions for maximum flux rates were evaluated. Model equations were developed to evaluate the resistance components that are responsible for fouling and to predict total flux decline with respect to time. Modeling results were in agreement with experimental results (R 2 > 0.98). [ABSTRACT FROM AUTHOR]
- Published
- 2009
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