A critical review on regulatory sample preparation methods: Validating solid-phase microextraction techniques

Lashgari, Maryam; Singh, Varoon; Pawliszyn, Janusz

doi:10.1016/j.trac.2019.07.029

Cited by 76 publications

(28 citation statements)

References 26 publications

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“…It is used for analysis of pesticides, carbamate, bisphenols, phthalate acid esters, and pharmaceuticals [ 36 ]. SPME enables sampling and sample preparation simultaneously, and is used for analyzing of pesticides, polycyclic aromatic hydrocarbons, phenols, amines, and polychlorinated bisphenols in food and environmental samples [ 37 ]. SBSE is used in environmental analysis, food analysis, and life science and biomedical analysis.…”

Section: Methodsmentioning

confidence: 99%

Xenobiotics—Division and Methods of Detection: A Review

Štefanac

Grgas

Dragičević

2021

JoX

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Xenobiotics are compounds of synthetic origin, usually used for domestic, agricultural, and industrial purposes; in the environment, they are present in micropollutant concentrations and high concentrations (using ng/L to µg/L units). Xenobiotics can be categorized according to different criteria, including their nature, uses, physical state, and pathophysiological effects. Their impacts on humans and the environment are non-negligible. Prolonged exposure to even low concentrations may have toxic, mutagenic, or teratogenic effects. Wastewater treatment plants that are ineffective at minimizing the release of xenobiotic compounds are one of the main sources of xenobiotics in the environment (e.g., xenobiotic compounds reach the environment, affecting both humans and animals). In order to minimize the negative impacts, various laws and regulations have been adopted in the EU and across the globe, with an emphasis on xenobiotics removal from the environment, in a way that is economically, environmentally, and socially acceptable, and will not result in their accumulation, or creation of compounds that are more harmful. Detection methods allow detecting even small concentrations of xenobiotics in samples, but the problem is the diversity and mix of compounds present in the environment, in which it is not known what their effects are). In this review, the division of xenobiotics and their detection methods will be presented.

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Section: Methodsmentioning

confidence: 99%

Xenobiotics—Division and Methods of Detection: A Review

Štefanac

Grgas

Dragičević

2021

JoX

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“…Our strategy here is to analyze the VOCs in the rice because Wu Chang rice has unique attractive flavor. SPME is an important extraction technique developed by Pawliszyn and coworkers in the early 90 s (Lashgari et al, 2019), and it is particularly suitable for the analysis of volatiles in food and drinks such as seafood and coffee beans. But the VOCs analysis in rice has rarely been reported.…”

Section: Measured Compoundsmentioning

confidence: 99%

Non-destructive Analysis of Volatile Compounds for Geographical Identification of Rice

Hu¹,

Ren²,

宋勇³

et al. 2020

Preprint

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Background In recent years, high-quality rice adulteration has become a serious problem. It is essential to prevent false origin labels and dishonest transactions. However, there is still a lack of rapid identification methods for discriminating rice from different sources. In this study, we developed a method to profile volatile organic compounds (VOCs) using headspace solid phase microextraction (HS-SPME) combined with gas chromatography mass spectrometry (GC-MS). In addition, the identification efficiency of the biomarkers was determined using several multivariate analysis methods. Results Based on the t-test, fold changes and volcano plots, eight typical biomarkers were used based their differential levels. Among them, 2-acetyl-1-pyrroline (2-AP) is the most important source of aroma in rice flavor. Unsupervised analyses, including principal component analysis (PCA) and Cluster analysis, demonstrated the potential for geographic classification of rice between Wuchang and other regions. In addition, partial least squares discriminant analysis (PLS-DA) yielded a goodness of fit of 0.900, a goodness of prediction of 0.853, and a probability of substitution test of 0.012. Random forest (RF) algorithm further strengthened the discriminating ability of volatile compounds. Conclusion In short, the current method can quickly distinguish rice from Wu Chang and other regions, and the research method can facilitate controlling the authenticity and quality of rice.

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“…SPME exhibits many advantages, such as full process automation, avoidance of organic solvent consumption, and suitability for in situ and in vivo sampling. Due to its ultrahigh efficiency, SPME is receiving widespread attention from analysts in different fields, especially in routine laboratories and industrial applications [50][51][52][53][54].…”

Section: Introductionmentioning

confidence: 99%

Determination of Nitrofuran Metabolites in Complex Food Matrices Using a Rough, Cheap, Easy-Made Wooden-Tip-Based Solid-Phase Microextraction Probe and LC-MS/MS

Gong

et al. 2022

Journal of Chemistry

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In this study, a rough, cheap, easy-made wooden-tip-based solid-phase microextraction (SPME) probe was first developed for simultaneous determination of 4 nitrofuran metabolite derivatives in complex food matrices via LC-MS/MS. A simple dip-coating method was used to coat wooden tips with biocompatible polyacrylonitrile (PAN) and N-vinylpyrrolidone-co-divinylbenzene, also known as HLB particles, which served as the extractive substrate in the proposed device. Compared with the traditional solid-phase extraction (SPE) method, the proposed device shortens sample clean-up time, reduces solvent consumption, and decreases testing costs. In addition, the main parameters affecting the SPME procedure efficiency were investigated in detail and the optimal conditions were found. The method was validated using three different food matrixes (pork, croaker, and honey) by spiking with the four metabolites at 0.5, 1.0, and 5.0 μg/kg, as well as their internal standards. The average recovery of all nitrofuran metabolite derivatives ranges from 97.4–109.5% (pork), 87.5–112.7% (croaker), and 98.6–109.0% (honey). Relative standard deviations were all <10% for intraday and interday precision. The values of limit of detection and limit of quantification were, respectively, ranging from 0.011 to 0.123 and 0.033 to 0.369 μg/kg (pork), 0.009 to 0.112 and 0.027 to 0.339 μg/kg (croaker), and 0.010 to 0.131 and 0.030 to 0.293 μg/kg (honey). The presented method was applied to the analysis of real positive samples.

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A critical review on regulatory sample preparation methods: Validating solid-phase microextraction techniques

Cited by 76 publications

References 26 publications

Xenobiotics—Division and Methods of Detection: A Review

Xenobiotics—Division and Methods of Detection: A Review

Non-destructive Analysis of Volatile Compounds for Geographical Identification of Rice

Determination of Nitrofuran Metabolites in Complex Food Matrices Using a Rough, Cheap, Easy-Made Wooden-Tip-Based Solid-Phase Microextraction Probe and LC-MS/MS

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