In vivo solid phase microextraction sampling of human saliva for non-invasive and on-site monitoring

Bessonneau, Vincent
Boyacı, Ezel
Maciazek-Jurczyk, Malgorzata
Pawliszyn, Janusz
On-site sample preparation is an analytical approach based on direct sampling from the system under investigation. It has the advantage of combining sampling and sample preparation into a single step, thus generally is fast, minimizes the potential sources of error and eliminates the risks for analytes instability. For such analysis solid phase microextraction in thin film geometry (TF-SPME) can provide robust and convenient in vivo sampling, offering in the same time faster analysis and higher extraction recovery (i.e., better sensitivity) due to large surface to volume ratio.


Sample preparation with solid phase microextraction and exhaustive extraction approaches: Comparison for challenging cases
Boyacı, Ezel; Gorynski, Krzysztof; Mirnaghi, Fatemeh; Souza-Silva, Erica A.; Hein, Dietmar; Pawliszyn, Janusz (2015-05-11)
In chemical analysis, sample preparation is frequently considered the bottleneck of the entire analytical method. The success of the final method strongly depends on understanding the entire process of analysis of a particular type of analyte in a sample, namely: the physicochemical properties of the analytes (solubility, volatility, polarity etc.), the environmental conditions, and the matrix components of the sample. Various sample preparation strategies have been developed based on exhaustive or non-exha...
Apply Quantitative Management Now
TARHAN, AYÇA; Demirörs, Onur (Institute of Electrical and Electronics Engineers (IEEE), 2012-05-01)
The Assessment Approach for Quantitative Process Management (A2QPM) helps identify software process measures for quantitative analysis even when organizations lack formal systems for process measurement. A2QPM is the first approach to quantitative management that offers software organizations a well-defined, detailed guideline for assessing their software processes and applying beneficial quantitative techniques to improve them. All the A2QPM applications we've described resulted in quantitative analysis im...
Outlier Detection and Quasi-periodicity Optimization Algorithm: Frequency Domain Based Outlier Detection (FOD)
Erkuş, Ekin Can; Purutçuoğlu Gazi, Vilda (2020-01-01)
Outlier detection is one of the main challenges in the pre-processing stage of data analyses. In this study, we suggest a new non-parametric outlier detection technique which is based on the frequency-domain and Fourier Transform definitions and call it as the frequency-domain based outlier detection (FOD). From simulation results under various distributions and real data applications, we observe that our proposal approach is capable of detecting quasi-periodic outliers in time series data more successfully...
Robust estimation and hypothesis testing under short-tailedness and inliers
Akkaya, Ayşen (Springer Science and Business Media LLC, 2005-06-01)
Estimation and hypothesis testing based on normal samples censored in the middle are developed and shown to be remarkably efficient and robust to symmetric short-tailed distributions and to inliers in a sample. This negates the perception that sample mean and variance are the best robust estimators in such situations (Tiku, 1980; Dunnett, 1982).
Computer assisted analysis of flow over spillway chutes
Kıranoğlu, Meriç; Yanmaz, A. Melih.; Department of Civil Engineering (2019)
In this study, a literature review is conducted in terms of assumptions, approaches, and various calculation methods used for the analysis of flow over conventional and stepped type spillways. In guidance of this review, a software is developed to perform such analyses with the set of given data by the user, and display results with some tables and figures. To this end, water surface profile over the spillway face is determined considering air entrainment process, pressure distribution over the crest under ...
Citation Formats
V. Bessonneau, E. Boyacı, M. Maciazek-Jurczyk, and J. Pawliszyn, “In vivo solid phase microextraction sampling of human saliva for non-invasive and on-site monitoring,” ANALYTICA CHIMICA ACTA, pp. 35–45, 2015, Accessed: 00, 2020. [Online]. Available: