Online In-Tube Solid-Phase Microextraction Coupled with Liquid Chromatography–Tandem Mass Spectrometry for Automated Analysis of Four Sulfated Steroid Metabolites in Saliva Samples
Abstract:Accurate measurement of sulfated steroid metabolite concentrations can not only enable the elucidation of the mechanisms regulating steroid metabolism, but also lead to the diagnosis of various related diseases. The present study describes a simple and sensitive method for the simultaneous determination of four sulfated steroid metabolites in saliva, pregnenolone sulfate (PREGS), dehydroepiandrosterone sulfate (DHEAS), cortisol sulfate (CRTS), and 17β-estradiol-3-sulfate (E2S), by online coupling of in-tube so… Show more
“…Likewise, the use of silica-coated capillaries for automated IT-SPME has been applied, several other times to produce open-tubular extractive micro columns. Thus, Kataoka and coworkers have published methods for the analysis of urinary biomarkers [95,96], the hormone melatonin in saliva [97], five tobacco-specific nitrosamines in hair [98], and four sulfated steroid metabolites in saliva [99], with the use of GC capillaries as IT-SPME columns. Moreover, from 2016 on, to improve the selectivity of the extractive phases, Falcó and collaborators have developed several selective extractive coatings, including silicacoated capillaries modified with carbon nanotubes [100] and or/metallic nanoparticles (MNPs) [101,102] for automated IT-SPME coupled to capillary LC (cLC) or nano-LC (nLC).…”
Section: Modern Automated Spme Of Biological Samplesmentioning
Sample preparation frequently is considered the most critical stage of the analytical workflow. It affects the analytical throughput and costs; moreover, it is the primary source of error and possible sample contamination. To increase efficiency, productivity, and reliability, while minimizing costs and environmental impacts, miniaturization and automation of sample preparation are necessary. Nowadays, several types of liquid‐phase and solid‐phase microextractions are available, as well as different automatization strategies. Thus, this review summarizes recent developments in automated microextractions coupled with liquid chromatography, from 2016 to 2022. Therefore, outstanding technologies and their main outcomes, as well as miniaturization and automation of sample preparation, are critically analyzed. Focus is given to main microextraction automation strategies, such as flow techniques, robotic systems, and column‐switching approaches, reviewing their applications to the determination of small organic molecules in biological, environmental, and food/beverage samples.
“…Likewise, the use of silica-coated capillaries for automated IT-SPME has been applied, several other times to produce open-tubular extractive micro columns. Thus, Kataoka and coworkers have published methods for the analysis of urinary biomarkers [95,96], the hormone melatonin in saliva [97], five tobacco-specific nitrosamines in hair [98], and four sulfated steroid metabolites in saliva [99], with the use of GC capillaries as IT-SPME columns. Moreover, from 2016 on, to improve the selectivity of the extractive phases, Falcó and collaborators have developed several selective extractive coatings, including silicacoated capillaries modified with carbon nanotubes [100] and or/metallic nanoparticles (MNPs) [101,102] for automated IT-SPME coupled to capillary LC (cLC) or nano-LC (nLC).…”
Section: Modern Automated Spme Of Biological Samplesmentioning
Sample preparation frequently is considered the most critical stage of the analytical workflow. It affects the analytical throughput and costs; moreover, it is the primary source of error and possible sample contamination. To increase efficiency, productivity, and reliability, while minimizing costs and environmental impacts, miniaturization and automation of sample preparation are necessary. Nowadays, several types of liquid‐phase and solid‐phase microextractions are available, as well as different automatization strategies. Thus, this review summarizes recent developments in automated microextractions coupled with liquid chromatography, from 2016 to 2022. Therefore, outstanding technologies and their main outcomes, as well as miniaturization and automation of sample preparation, are critically analyzed. Focus is given to main microextraction automation strategies, such as flow techniques, robotic systems, and column‐switching approaches, reviewing their applications to the determination of small organic molecules in biological, environmental, and food/beverage samples.
“…The Limit of quantification (LOQ) was established by spiking at 0.01 mg/kg which offered the best performance in terms of identification, confirmation following the retention time (±0.1 min), and ion ratio (±30%) criteria [ (Kataoka and Nakayama, 2022)] [(Author anonymus, 2021)]. Based on the signal to noise (>10:1), the recovery and precision were observed within acceptable criteria.…”
Section: Limit Of Quantificationmentioning
confidence: 99%
“…Another study built a platform containing automated filtration/filter backflushing (AFFL), online SPE, and a nano LC-MS system (Moriyama and Kataoka, 2015). Online in-tube Solid-phase micro-extraction (SPME) to couple with LC-MS for measuring salivary oxytocin (Kataoka and Nakayama, 2022).…”
Backgrounds: Oxytocin is nowadays used to increase the agricultural products besides its use during the milking of cattle leading to the contamination of agricultural produce and milk with oxytocin. Monitoring of accurate oxytocin contaminations from foodstuffs is sometimes required to maintain the quality standard. The commonly used oxytocin assays in this study were interfered with by the food matrix. There is a need to develop an accurate and confirmed method for monitoring oxytocin contaminations in foodstuffs.Objective: An attempt is made to develop an accurate assay method of oxytocin from milk and agricultural produces.Methods: The acidified methanol was used for the extraction of oxytocin from target food stuff/matrices (agricultural produce and Milk). LC-MS/MS was used for its detection and quantification. In the chromatographic separation, Oxytocin concentration was optimized using selective reaction monitoring (SRM) with heated electrospray ionization (HESI) in positive polarity. The chromatographic separation was performed using a reversed-phase C18 column with gradient elution at a flow rate of 0.4 ml/min. The acidified methanol was used for the extraction of oxytocin in all target food matrices. The method performance was verified as per the SANTE 2021 guideline. After method validation, the method was applied in real food samples analysis for assessing the presence/absence of oxytocin.Results: The calibration curve offered excellent linearity (R2 = 0.999) with less than 15% residuals. The matrix effect was <20% observed for all target matrices. The mean recoveries were within 70%–115% with <11% RSD at four different levels in milk and 0.01 mg/kg in fruits and vegetables. The optimized method was applied to 50 random samples of milk, fruits, and vegetables from the market for the purposes of an established quality control approach. Based on the results, we did observe a signal of oxytocin in the random samples Therefore, this method has shown its practical suitability for the detection of oxytocin in milk, fruits, and vegetables.Conclusion: Extraction of oxytocin using acidified methanol followed by assays using LC-MS/MS is a simple, sensitive, accurate, reproducible, and practically suitable method for detection and quantification of oxytocin from milk, fruits, and vegetables.
“…This Special Issue, entitled “Solid-Phase Microextraction and Related Techniques in Bioanalysis”, consists of 14 original, peer-reviewed papers written by research groups worldwide. The topics covered include headspace fiber SPME (HS-SPME) gas chromatography–mass spectrometry (GC-MS) [ 2 , 3 , 4 , 5 , 6 , 7 , 8 ], HS-in-needle ME (HS-INME)-GC-MS [ 9 ], thin film SPME (TF-SPME) liquid chromatography–tandem mass spectrometry (LC-MS/MS) [ 10 ], magnetic solid-phase extraction (MSPE) LC-MS/MS [ 11 ], in-tube SPME (IT-SPME) LC-MS/MS [ 12 , 13 , 14 ] and IT-SPME LC-UV [ 15 ]. The samples analyzed include a wide range of plant-derived volatile organic compounds [ 2 , 3 , 4 , 5 , 6 , 7 ]; body odor from the skin [ 8 , 9 ]; metabolites from urine [ 10 ], plasma [ 11 ] and saliva [ 12 ] samples; biomarkers of exposure to tobacco smoke in hair [ 13 , 14 ]; and environmental estrogens in water [ 15 ].…”
mentioning
confidence: 99%
“…One method of achieving this is dispersive MSPE, in which a magnetic sorbent is dispersed in a sample solution, such as plasma, the solution stirred to extract the compounds of interest, and the extracted compounds eluted from the magnetic sorbent are used in MSPE LC-MS/MS analysis of glucocorticoids, estrogens, progestogens and androgens [ 11 ]. Furthermore, an automated analysis system that couples on-line IT-SPME and LC-MS/MS was constructed using an open-tube fused silica capillary with a coated inner surface as the extraction device, enabling simultaneous selective and sensitive analysis of the metabolism of sulfated steroids in saliva samples [ 12 ].…”
Living organisms, such as microorganisms, plants and animals, are composed of complex constituents, which may include bioactive components that maintain their functions [...]
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