Smart Sampling as a fully automated workflow for liquid injection and headspace GC and GC/MS
Poster Jun 18, 2014
Douglas Doster, Roger Pearson, Ken Rice, Tom Flug, Brian Peat, Renzo Picenoni, Guenter Boehm
The preparation of samples and standards is generally accepted as the most time consuming portion
of the analysis in regard to the analyst’s time. Automating the sample preparation and standard
preparation drastically reduces the amount of time the analyst spends on the analysis.
• An important part of method optimization is the selection of the appropriate conditions. This normally
requires a considerable amount of the analyst time. In practice, only a small amount of optimization
work is actually done and most methods used rely on analyst experience.
• A new type of robotic sample handler allows for the automatic change of tools. This opens the
possibility for the automated preparation of samples and standards as well as the optimization of key
A workflow has been described enabling the automated preparation of standards and samples for the
• It was demonstrated that automated preparations were equivalent or better compared to the manual
preparation with a dramatically reduction the analyst’s time involved.
• Applying the automated workflow described above increases sample throughput while reducing the
analyst’s time involved from hours per sample to minutes per sample.
• Future work will enable the PAL RTC to determine if a sample is out of range, then dilute the sample or
inject a larger volume and re-run it automatically. The ability to perform this automatic adjustment of the
concentration level in the sample will increase the productivity of this system further.
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