Gas chromatographic-mass spectrometric analysis of urinary volatile organic metabolites: Optimization of the HS-SPME procedure and sample storage conditions

Semren, Tanja Živković; Karačonji, Irena Brčić; Safner, Toni; Brajenović, Nataša; Lovaković, Blanka Tariba; Pizent, Alica

doi:10.1016/j.talanta.2017.08.064

Cited by 38 publications

(42 citation statements)

References 18 publications

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“…It has also been shown that long‐term storage of urine at either –20 or −80 °C, for up to 6 months, usually yields comparable metabolomic profiles . On the other hand, Živković et al . found in a recent study that levels of volatile metabolites show a time dependent decrease over time if urine samples are not deep frozen, which is of great importance in GC–MS‐based metabolomics.…”

Section: Sample Characteristics and Preanalytical Processingmentioning

confidence: 99%

“…More recently, the stability of urinary volatile metabolites was investigated with regard to different storage conditions and freeze–thaw processes. The authors of these studies found that more than two freeze–thaw cycles may impact GC–MS metabolite profiles . To ensure good reproducibility, it is advisable to thaw urine on ice or overnight in the fridge and to keep samples on ice during extraction.…”

Section: Sample Characteristics and Preanalytical Processingmentioning

confidence: 99%

“…[94,[113][114][115] It has also been shown that long-term storage of urine at either -20 or −80°C, for up to 6 months, usually yields comparable metabolomic profiles. [93,113,115] On the other hand,Živković et al [116] found in a recent study that levels of volatile metabolites show a time dependent decrease over time if urine samples are not deep frozen, which is of great importance in GC-MS-based metabolomics. In any case, it should be noted that even urine stored at −80°C can suffer slight metabolic alterations, especially during the first days of storage.…”

Section: Storagementioning

confidence: 99%

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Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies

Ulaszewska

Weinert

Trimigno

et al. 2018

Molecular Nutrition Food Res

195

156

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The life sciences are currently being transformed by an unprecedented wave of developments in molecular analysis, which include important advances in instrumental analysis as well as biocomputing. In light of the central role played by metabolism in nutrition, metabolomics is rapidly being established as a key analytical tool in human nutritional studies. Consequently, an increasing number of nutritionists integrate metabolomics into their study designs. Within this dynamic landscape, the potential of nutritional metabolomics (nutrimetabolomics) to be translated into a science, which can impact on health policies, still needs to be realized. A key element to reach this goal is the ability of the research community to join, to collectively make the best use of the potential offered by nutritional metabolomics. This article, therefore, provides a methodological description of nutritional metabolomics that reflects on the state-of-the-art techniques used in the laboratories of the Food Biomarker Alliance (funded by the European Joint Programming Initiative "A Healthy Diet for a Healthy Life" (JPI HDHL)) as well as points of reflections to harmonize this field. It is not intended to be exhaustive but rather to present a pragmatic guidance on metabolomic methodologies, providing readers with useful "tips and tricks" along the analytical workflow.

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Section: Sample Characteristics and Preanalytical Processingmentioning

confidence: 99%

Section: Sample Characteristics and Preanalytical Processingmentioning

confidence: 99%

Section: Storagementioning

confidence: 99%

See 1 more Smart Citation

Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies

Ulaszewska

Weinert

Trimigno

et al. 2018

Molecular Nutrition Food Res

195

156

View full text Add to dashboard Cite

show abstract

“…Semren et al. were the first researchers to use a multivariate design approach to optimize the HS‐SPME method in order to test whether different storage conditions (4, −20, and −80°C) for urine samples influenced the profiles of the metabolites over time . First, the authors tested SPME fibers coated with PDMS, PDMS/DVB, and CAR/PDMS; upon completing of the tests, the CAR/PDMS fiber was selected because it had the highest volatile metabolite extraction efficiency.…”

Section: Spme In Biomedical and Clinical Studiesmentioning

confidence: 99%

“…Further studies have revealed that advanced multivariate optimization methods, such as the reduced factorial and Doehlert matrix designs, could also be applied to evaluate how adjusting flexible parameters, such as incubation and extraction temperatures and times, coating type, and salt addition, influence the efficiency of HS-SPME of biological samples. Semren et al were the first researchers to use a multivariate design approach to optimize the HS-SPME method in order to test whether different storage conditions (4, −20, and −80 • C) for urine samples influenced the profiles of the metabolites over time [52]. First, the authors tested SPME fibers coated with PDMS, PDMS/DVB, and CAR/PDMS; upon completing of the tests, the CAR/PDMS fiber was selected because it had the highest volatile metabolite extraction efficiency.…”

Section: Head Space Spme In Untargeted Metabolomicsmentioning

confidence: 99%

Application of solid‐phase microextraction in current biomedical research

Roszkowska

Miękus

Bączek

2018

J of Separation Science

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Extraction of endogenous compounds and drugs and their corresponding metabolites from complex matrices, such as biofluids and solid tissues, requires adequate analytical approach facilitating qualitative and quantitative analysis. To this end, solid‐phase microextraction has been introduced as modern technology that is capable of efficient and high‐throughput extraction of compounds due to its ability to amalgamate sampling, extraction, and pre‐concentration steps, while requiring minimal use of organic solvents. The ability of solid‐phase microextraction to enable analyses on small‐volume biological samples and growing availability of biocompatible solid‐phase microextraction coatings make it a highly useful technology for variety of applications. For example, solid‐phase microextraction is particularly useful for identifying biomarkers in metabolomics studies, and it can be successfully applied in pharmaceutical and toxicological studies requiring the fast and sensitive determination of drug levels, especially those that are present at low levels in biological matrices such as plasma, urine, saliva, and hair. Moreover, solid‐phase microextraction can be directly applied in in vivo studies because this extraction technique is non‐exhaustive and its biocompatible probes offer minimal invasiveness to the analyzed system. In this article, we review recent progress in well‐established solid‐phase microextraction technique for in vitro and in vivo analyses of various metabolites and drugs in clinical, pharmaceutical, and toxicological applications.

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