Mapping Elemental Nutrient and Surface Treatment Distribution in Produce
Poster Apr 03, 2017
Nutritionists address the benefits of obtaining elemental nutrients directly from food, especially fresh, uncontaminated produce. This project will demonstrate non-destructive techniques developed to visually map distribution and relative abundance of elemental nutrients and treatments of produce.
Three types of X-ray fluorescence (XRF) spectrometers were used. All provided user control of atmosphere, power, filters and collimators for optimization of elemental analysis in various matrices. They also provided qualitative and quantitative XRF elemental analysis software.
Data presented will include maps of elemental nutrient rich locations in fruit as well as distribution of elemental surface treatments for preservation of produce from farm to market. The various methods utilized for data collection will be described. Future research planned includes monitoring elementall nutrient distribution changes over time and with different storage conditions.
Fundamentals and Comparisons for Organic Sample Extract EvaporationPoster
Sample preparation is a key step in the analysis process
Parameters for evaporation and their impact on analysis have been discussed
Improvements in matching the sample to the evaporation device characteristics can help reduce variability and improve recovery
Examples for choosing a system based on sample volume, types of analytes, sample load, and initial investment considerations
Using Elemental Analysis For Discrimination Of Pinot Noir Wines From Six Different Districts In An AvaPoster
The determination of geographical origin of wine is gaining increased interest by researchers and federal agencies around the world, partially due to increased fraud with regards to place of origin labelling. For wine, multi-elemental profiling of macro, micro, and trace elements has been proposed for determination of authenticity. Commercial wines from different wineries in 5 different neighborhoods within one AVA show characteristic elemental fingerprints. Macro, micro and trace elements as well as elemental ratios contribute to the observed separation, indicating the involvement of multiple factors and underlying mechanisms, including location and soil composition, elemental uptake by vine and rootstock, viticulture and nutrient management, water sources, and small differences in the different wineries.READ MORE
Fast arsenic speciation analysis of wines and rice with LC-ICP-QQQPoster
This method was designed in response to recent and proposed food standards, both international and national, that limit inorganic arsenic rather than total, organic, or individual arsenic species such as arsenite (AsIII) and arsenate (AsV). Analysis time is 10x faster than the current FDA regulatory method, increasing sample throughput, avoided spectral interferences and dramatically increased sensitivity. Validation data from two laboratories demonstrate the method’s accuracy and reproducibility of both wine and rice matrices in a single analytical batch.READ MORE