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1                                              GC-MS analysis showed that no unpleasant compounds were
2                                              GC-MS and FTICR-MS revealed no significant bitumen alter
3                                              GC-MS data showed a clustering closely matching the one
4                                              GC-MS lipidomics demonstrate that this reduction correla
5          Heart-cut two-dimensional GC-MS (2D-GC-MS) chirality analysis showed that (R)-(+)-limonene,
6                                            A GC-MS approach was used in an untargeted analysis of VOC
7 ve outcomes, and results were validated by a GC-MS reference official method.
8 to-onion puree has been investigated using a GC-MS fingerprinting approach.
9                    POP were analyzed using a GC-MS method.
10                       A precise and accurate GC-MS/MS method with ng L(-1) LLOQs, acceptable recovery
11 to determine omega-3 fatty acid content, and GC-MS to characterize oil product, which mainly containe
12 o chromatographic methods, i.e. UPLC-DAD and GC-MS, showed no differences in the results for the came
13 ural waxes were analyzed using HPLC-ELSD and GC-MS followed by evaluation of their oil structuring pr
14 ric acid, then liquid-liquid extraction, and GC-MS analysis.
15  metabolites were evaluated through FTIR and GC-MS.
16 atile compounds were analyzed using HPLC and GC-MS.
17 ancient beer, we conducted a detailed IR and GC-MS based metabolite analyses targeting volatile and n
18 /MS and MS(3)), stable isotope labeling, and GC-MS analysis, we previously proposed a structure of 8-
19  semiquantitative (13)C-NMR measurements and GC-MS, (13)C was detected in starch and matrix polysacch
20 ngle drop micro-extraction (SDME) method and GC-MS for multi-class pesticides determination in mango
21 berry), using a modified QuEChERS method and GC-MS/MS analysis.
22 s phase with solid-phase microextraction and GC-MS.
23 om 16S rRNA sequencing, Nanostring miRNA and GC-MS targeted analysis, respectively.
24                     Using targeted LC-MS and GC-MS platforms we quantified 229 and 29 metabolites, re
25            Metabolite profiling by LC-MS and GC-MS quantified 124 seed metabolites out of which 84 we
26 ut utilizing UPLC-Q-TOF-MS(E), LC-QqQ-MS and GC-MS techniques and evaluated for antihyperglycemic and
27         VFAs were measured by PTR-ToF-MS and GC-MS.
28 were investigated using UHPLC-DAD-ToF-MS and GC-MS.
29        Samples were analyzed by LC-MS/MS and GC-MS/MS with a wide scope of 322 chemical residues.
30  to tandem mass spectroscopy (UPLC-MS/MS and GC-MS/MS).
31  pesticide residues in honey by LC-MS/MS and GC-MS/MS.
32                           Thanks to GC-O and GC-MS analysis, cooked fruit notes were identified as 3-
33           Using targeted GC-olfactometry and GC-MS analyses, together with quantification methods, we
34 ce using magnetic resonance spectroscopy and GC-MS.
35  determined by SAFE extraction technique and GC-MS analysis.
36 in food items was examined using HPLC-UV and GC-MS systems.
37 were analysed using spectrophotometry-UV and GC-MS-SPME, respectively.
38                With the aid of XRD, XPS, and GC-MS analysis, we confirm DMTS could undergo almost a 4
39                                   We applied GC-MS to determine the fatty acids of both Bordetella sp
40                                     Applying GC-MS-olfactometry and aroma extract dilution analysis (
41 ological (electron microscopy), biochemical (GC-MS, Microarray immunoassay, Rock-Eval) and spectrosco
42 y HPLC-UV and 1.10(-7)-5.10(-5) mol L(-1) by GC-MS techniques.
43 aroma-trapping device (RATD) and analysed by GC-MS.
44 ed on solid phase extraction and analysis by GC-MS.
45 les that were also independently analyzed by GC-MS and LC-MS techniques.
46 CO2, or D2O supplementation were analyzed by GC-MS and/or LC-MS over time courses during nitrogen sta
47 ons and glycosidic linkages were analyzed by GC-MS, hydrodynamic radius and proton magnetic resonance
48 th their fatty acid compositions analyzed by GC-MS/FID.
49     The acetonitrile extract was analyzed by GC-MS/MS.
50                          Characterization by GC-MS was performed and total phenolic compounds (TPC),
51 he beverage headspaces were characterized by GC-MS, then subjected to multivariate statistical analys
52 otal cellular lipids and in lipid classes by GC-MS.
53 o assess the volatile and fixed compounds by GC-MS and UHPLC-QTOF-MS.
54 he thermal treatment, which was confirmed by GC-MS analyses, and thus, the collected carbon dioxide a
55 erformed using HPLC-FLD/DAD and confirmed by GC-MS.
56 fruits and vegetables, with determination by GC-MS and LC-MS/MS.
57 tential use-residues that were determined by GC-MS.
58 al stir bar sorptive extraction, followed by GC-MS analysis.
59 our-related compounds by HS-SPME followed by GC-MS quantification, no generalized consensus exists re
60  analysis of pyrethroids in diluted honey by GC-MS.
61 s compared to total hydrolyzed urinary HP by GC-MS due to the low residual levels of free HP and its
62 rvone and linalool chemotypes, identified by GC-MS analyses of the essential oils.
63 tudy sixty-five compounds were identified by GC-MS and characterized with the predominance of perilla
64 thers that can be detected and identified by GC-MS means.
65                        Furan was measured by GC-MS.
66 were investigated using the data obtained by GC-MS (m/z profile, area of the chromatographic peaks an
67              Molar sums of PFASs obtained by GC-MS, LC-MS/MS, and precursors were compared to total f
68 tide or cyclopentanone were detected only by GC-MS while others, such as the cyclic dimer [AA-BD](2)
69  reference compound to check its presence by GC-MS and GC-O in 5 commercial samples of yuzu and citru
70                       Metabolic profiling by GC-MS revealed distinct features based on both genotype
71  chemical characterization of the samples by GC-MS, NMR and off-line ESI-MS showed that it was possib
72 ers (GEs) were analysed in 84 oil samples by GC-MS/MS for the discrimination of processing grades of
73 urprisingly, we could not detect yuzunone by GC-MS in any of our samples.
74  a combination of direct LC-MS/MS and chiral GC-MS.
75 ydroxypentanoate methyl esters (8) by chiral GC-MS established that the BonMT2-catalyzed methylation
76 spectrometry (LC-MS) and gas chromatography (GC-MS)) was used to assess the impact of light on the co
77 gas chromatograph-mass spectrometer (ILR-CIS-GC-MS) has been explored for the first time to assess fe
78 s been directly compared with a conventional GC-MS/ECD detection system.
79  significant advantage over the conventional GC-MS/MS methods, which lack sensitivity and repeatabili
80  spectrometry or electron capture detection (GC-MS/ECD) as of yet, which often limits the ability to
81            A high-precision isotope dilution GC-MS method was employed for the determination of nitra
82  combined with conventional mono-dimensional GC-MS to differentiate Croatian virgin olive oils (VOO)
83                    Heart-cut two-dimensional GC-MS (2D-GC-MS) chirality analysis showed that (R)-(+)-
84 pectrometry (SPME-GC-MS) and two-dimensional GC-MS.
85   The limits of detection obtained by direct GC-MS determination were enhanced by about 33-115 folds
86                                The UAE-DLLME-GC-MS method demonstrated high sensitivity, good lineari
87 ne atoms for their subsequent analysis by EI-GC-MS.
88 ion Gas Chromatography-Mass Spectrometry (EI-GC-MS) is presented.
89                                         ETIE-GC-MS can be used for analysis of volatile compounds pre
90 (HS-GC-FID) and stir bar sorptive extraction-GC-MS (SBSE-GC-MS).
91 t gas chromatography-mass spectrometry (fast-GC-MS).
92             Extracts were assayed by GC-FID, GC-MS, and LC-MS for the identification of 10 primary (a
93 om high resolution Quadrupole Time-of-Flight GC-MS (GC-QTOF) and fragmentation patterns from electron
94  recoveries were in the range of 92-103% for GC-MS/MS and 108-117% for GC-HRMS.
95 ing ethanol as an internal standard (IS) for GC-MS quantification of volatile compounds in alcoholic
96     The resulting toluene layer was used for GC-MS/MS analysis of alanine, alpha-ketoglutarate, aspar
97 ee different steps: component detection from GC-MS data using novel data treatment software PARADISe,
98                                          GC, GC-MS and GC-O analyses revealed the presence of 50 arom
99                              Using chiral GC-GC-MS, we show that only the (R)-C10 massoia lactone is
100               EPR spectroscopy and headspace GC-MS analysis indicate that NO2(*) is released upon pho
101  tetrafluoroborate and analyzed by headspace GC-MS (15 samples/h).
102                  Comparison of the headspace GC-MS fingerprinting of the differently processed brocco
103 ndesirable pink color, thus, NMR, UPLC-HRMS, GC-MS analyses combined with chemometrics approach were
104 chromatograph with headspace autosampler (HS-GC-MS/MS) was elaborated in this study.
105              Herein, we describe an improved GC-MS-based metabolomics workflow that uses insoluble pr
106 probabilistic description of peak overlap in GC-MS separations to determine the probability of obtain
107  quantification using plain inter-laboratory GC-MS untargeted metabolomic approaches.
108 aphy with Mass Spectrometry Detection (MHSSE-GC-MS) has been used to analyze 44 volatile compounds th
109 ted by headspace solid-phase microextraction GC-MS.
110 luding headspace solid phase microextraction-GC-MS (HS-SPME-GC-MS), headspace-GC-FID (HS-GC-FID) and
111 ds determined by solid phase microextraction-GC-MS.
112 ctrometry with selected reaction monitoring (GC-MS/MS).
113 ctrometry (LC-MS) and gas chromatography-MS (GC-MS) data relative to labelling experiments.
114 ape regressed on the gene expression, LC-MS, GC-MS and proteomics data sets separately, only gene exp
115 ed, and structural analysis by MALDI-TOF-MS, GC-MS, and 2D NMR revealed that both were atypical lipot
116 tes measured by ultra-high performance LC-MS/GC-MS and retinol concentration (from HPLC) using linear
117 ation products were analyzed by UV/vis, NMR, GC-MS, and EPR.
118 ted with FWI soils, using a dual nontargeted GC-MS and LC-HRMS approach.
119 ent steps: a full mass spectral alignment of GC-MS data using MzMine 2.0, a multivariate analysis usi
120         Given the widespread availability of GC-MS and its increasing popularity in metabolomics, thi
121  compare and perform molecular networking of GC-MS data within the Global Natural Product Social (GNP
122  This is, to our knowledge, the first use of GC-MS/MS to measure multiple 8,5'-cyclopurine-2'-deoxynu
123 led with mass spectrometry and olfactometry (GC-MS/O and 2D-HRGC-MS/O).
124 romatography-mass spectrometry-olfactometry (GC-MS-O), odor-active values (OAVs) and quantitative des
125 coupled with mass spectrometry/olfactometry (GC-MS/O).
126 l also contained fewer constituents based on GC-MS and GC-FID analyses.
127 into different metabolic pools by IC-FTMS or GC-MS.
128   PCA models derived from either UHPLC-MS or GC-MS proved to be powerful tools for discrimination of
129                                          Our GC-MS results demonstrated that the extraction solvents
130 gical approach, including NMR, MS, HPLC-PDA, GC-MS and spectrophotometric analyses, was proposed to a
131  both mass spectrometry and a sniffing port (GC-MS-O) were used for identification.
132 rap gas chromatography-mass spectrometry (PT-GC-MS).
133                                           Py-GC-MS may thus contribute to identify relationships betw
134 ds were detected by means of the FTIR and py-GC-MS analyses.
135 sis gas chromatography/mass spectrometry (Py-GC-MS) is used to compare the molecular composition of H
136 ith gas chromatography mass spectrometry (Py-GC-MS) together with evolved gas analysis mass spectrome
137                                    Pyrolysis-GC-MS analysis showed more reduction in the level of lig
138 pectroscopy) and complimented with pyrolysis-GC-MS, while the colour changes were evaluated using col
139 d the results compared with the quantitative GC-MS data.
140 matographic deconvolution of high-resolution GC-MS or liquid chromatography-mass spectrometry (LC-MS)
141 and stir bar sorptive extraction-GC-MS (SBSE-GC-MS).
142 e aromas were determined by HPLC-DAD and SPE-GC-MS.
143 and Gas Chromatography - Mass Spectrometery (GC-MS) together with (13)C stable isotope-labelled gluco
144     A gas chromatography-mass spectrometric (GC-MS) method was utilized for the separation, and syste
145 romatography coupled with mass spectrometry (GC-MS) also revealed very similar qualitative-quantitati
146        Gas chromatography-mass spectrometry (GC-MS) analyses of sera from WT and Pax5+/- mice demonst
147 y, and gas chromatography-mass spectrometry (GC-MS) analysis confirmed variation in chemical composit
148        Gas chromatography-mass spectrometry (GC-MS) analysis indicated that LCs produced more chemica
149        Gas chromatography-mass spectrometry (GC-MS) analysis revealed the presence of 38 compounds wi
150        Gas chromatography mass spectrometry (GC-MS) analysis, including the targeting of 86 lipids, t
151 sis of gas chromatography-mass spectrometry (GC-MS) analysis, their concentrations were found to rang
152 chromatography coupled to mass spectrometry (GC-MS) analysis.
153  using gas chromatography-mass spectrometry (GC-MS) analysis.
154 ork by gas chromatography-mass spectrometry (GC-MS) and (1)H nuclear magnetic resonance (NMR) spectro
155 ned by gas chromatography-mass spectrometry (GC-MS) and atmospheric pressure gas chromatography-quadr
156 formed gas chromatography-mass spectrometry (GC-MS) and gas chromatography-isotope ratio mass spectro
157 )-Trap gas chromatography-mass spectrometry (GC-MS) and GC-flame ionization detector (FID) analysis.
158  using gas chromatography mass spectrometry (GC-MS) and High Resolution GC x GC-TOF-MS (GC x GC HRT-4
159        Gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-tandem mass spectrometr
160  (MS), gas chromatography mass spectrometry (GC-MS) and nuclear magnetic resonance spectroscopy (NMR)
161 rgeted gas-chromatography mass spectrometry (GC-MS) approach to profile the levels of 25 polar metabo
162 S) and gas chromatography-mass spectrometry (GC-MS) are limited by low sample throughput and complica
163 R) and gas chromatography-mass spectrometry (GC-MS) based metabolomics.
164        Gas chromatography-mass spectrometry (GC-MS) combined with thermal desorption (TD-GC-MS) was u
165 ion of gas chromatography-mass spectrometry (GC-MS) data.
166 tography coupled with the mass spectrometry (GC-MS) in the selected ion monitoring (SIM) mode.
167 d with gas chromatography-mass spectrometry (GC-MS) is commonly used in analyzing insect volatiles.
168 sis by gas chromatography-mass spectrometry (GC-MS) is proposed to monitor any contaminants of this t
169 wed by gas chromatography-mass spectrometry (GC-MS) measurements of isotopic labeling of protein-boun
170 to collect samples for GC-mass spectrometry (GC-MS) measurements.
171 inBase gas chromatography-mass spectrometry (GC-MS) metabolome database to match unknowns with biolog
172 robust gas chromatography-mass spectrometry (GC-MS) method for the simultaneous determination of prop
173 ucible gas chromatography-mass spectrometry (GC-MS) method using selected ion monitoring (SIM) has be
174  using gas chromatography-mass spectrometry (GC-MS) or liquid chromatography (LC)-MS(/MS).
175 tion gas chromatography - mass spectrometry (GC-MS) to address these issues.
176 d with gas chromatography-mass spectrometry (GC-MS) to identify volatiles emitted from healthy and ro
177 romatography coupled with mass spectrometry (GC-MS) was employed for the determination of signatures
178 study, gas chromatography-mass spectrometry (GC-MS) was employed to determine authenticity, adulteran
179        Gas chromatography-mass spectrometry (GC-MS) was used for the accurate, feasible and precise d
180  using gas chromatography mass spectrometry (GC-MS) with headspace solid phase micro extraction.
181 metry, gas chromatography-mass spectrometry (GC-MS), and liquid chromatography-mass spectrometry (LC-
182 wed by gas chromatography-mass spectrometry (GC-MS), GC-olfactometry (GCO) and a sensory panel.
183 C-MS), gas chromatography-mass spectrometry (GC-MS), nuclear magnetic resonance (NMR), and enzyme ass
184 romatography coupled with mass spectrometry (GC-MS), revealed augmented SSFs reduced the overall estr
185 rtable gas chromatography-mass spectrometry (GC-MS), samples were taken back to the laboratory for be
186 d with gas chromatography-mass spectrometry (GC-MS), was used to investigate the complex mix of volat
187  Using gas chromatography mass spectrometry (GC-MS), we identified compounds typically associated wit
188  using gas chromatography-mass spectrometry (GC-MS).
189  using gas chromatography-mass spectrometry (GC-MS).
190 d with gas chromatography-mass spectrometry (GC-MS).
191  using gas chromatography-mass spectrometry (GC-MS).
192 th gas chromatography and mass spectrometry (GC-MS).
193 zed by gas chromatography-mass spectrometry (GC-MS).
194 chromatography coupled to mass spectrometry (GC-MS).
195 romatography coupled with mass spectrometry (GC-MS).
196 g gas chromatography with mass spectrometry (GC-MS).
197 chromatography coupled to mass spectrometry (GC-MS).
198 ), and gas chromatography-mass spectrometry (GC-MS).
199 nes by gas chromatography mass spectrometry (GC-MS).
200 ion by gas chromatography-mass spectrometry (GC-MS).
201 on and gas chromatography-mass spectrometry (GC-MS).
202 ify by gas chromatography-mass spectrometry (GC-MS).
203 O) and gas chromatography-mass spectrometry (GC-MS).
204 romatography coupled with Mass Spectrometry (GC-MS).
205  using gas chromatography-mass spectrometry (GC-MS).
206 gas chromatography-tandem mass spectrometry (GC-MS/MS) and competitive electrochemiluminescence immun
207 lizing gas chromatography mass spectrometry (GC-MS/MS) and liquid chromatography mass spectrometry (L
208 gas chromatography-tandem mass spectrometry (GC-MS/MS) for GC-amenable pesticides; (ii) hydrophilic i
209 Gas chromatography/tandem mass spectrometry (GC-MS/MS) with isotope-dilution measured lower lesion le
210 gas chromatography-tandem mass spectrometry (GC-MS/MS) with sum of concentrations (gas + particle pha
211 gas chromatography tandem mass spectrometry (GC-MS/MS).
212 gas chromatography-tandem mass spectrometry (GC-MS/MS).
213 hromatography with tandem mass spectrometry (GC-MS/MS).
214 ied by gas-chromatography mass-spectrometry (GC-MS) and results elaborated by multivariate analysis (
215 atography coupled to mass spectrophotometry (GC-MS) was used to study the volatile fraction of feijoa
216 nds by gas chromatography-mass spectroscopy (GC-MS) was also performed.
217  methodology is developed for broad-spectrum GC-MS metabolomics in fruits using a new derivatization
218      Aroma compounds were determined by SPME GC-MS.
219  Volatile compounds were analysed by HS-SPME GC-MS; an expert panel performed sensory analysis using
220 tored by solid phase micro-extraction (SPME) GC-MS.
221                                         SPME-GC-MS was used for sampling, sample preparation, and ana
222                                       A SPME-GC-MS method was adapted and validated in order to quant
223 the labelled volatiles were analyzed by SPME-GC-MS.
224 se Micro Extraction Gas Chromatography (SPME-GC-MS) technique and associated to the parallel IMS vola
225 as chromatography mass spectrometry (DI-SPME-GC-MS) was optimized for nontarget screening of migrants
226 tile profiles identified by means of HS-SPME-GC-MS analysis, significantly differed in terms of terpe
227 applied to insect samples before the HS-SPME-GC-MS analysis.
228 lyzed with GC-FID and volatiles with HS-SPME-GC-MS and GC-O.
229                                   An HS-SPME-GC-MS method was optimized for their quantitation in num
230            A targeted approach using HS-SPME-GC-MS was performed to compare flavour compounds of 'Nav
231 ile the flavor was mapped via aroma (HS-SPME-GC-MS) and generic descriptive analysis (trained panel).
232 as chromatography-mass spectrometry (HS-SPME-GC-MS) in density sorted berries (1075-1119 kg m(-3)).
233 as chromatography-mass spectrometry (HS-SPME-GC-MS) method for the analysis of solid food samples in
234 as chromatography-mass spectrometry (HS-SPME-GC-MS) method for the quantification of 3-monochloroprop
235 as chromatography-mass spectrometry (HS-SPME-GC-MS) was used to analyze the volatile compounds of min
236 e solid phase microextraction-GC-MS (HS-SPME-GC-MS), headspace-GC-FID (HS-GC-FID) and stir bar sorpti
237 as chromatography mass spectrometry (HS-SPME-GC-MS), identified 20 to 70 components depending upon th
238 as Chromatography-Mass Spectrometry (HS-SPME-GC-MS).
239 ion, volatiles were characterized by HS-SPME-GC-MS.
240  compound profile was examined using HS-SPME-GC-MS.
241 d by a quantitative analysis through HS-SPME-GC-MS.
242  red wine have been quantified using HS-SPME-GC-MS.
243 ys germination were characterized by HS-SPME-GC-MS/O.
244 olatiles in PPIs were identified via HS-SPME-GC-MS/O.
245 , chocolate aroma was profiled using HS/SPME-GC-MS for three different time and temperature combinati
246 n-gas chromatography-mass spectrometry (SPME-GC-MS) and two-dimensional GC-MS.
247 n-Gas Chromatography-Mass Spectroscopy (SPME-GC-MS), High-Performance Liquid Chromatography (HPLC) (f
248                            Moreover, HS-SPME/GC-MS analysis was used to identify potential markers to
249 opic techniques ((1)H NMR, FTIR-ATR, HS-SPME/GC-MS).
250 as chromatography mass spectrometry (HS-SPME/GC-MS).
251 es extracted from the grapes, and subsequent GC-MS determination of the aglycones, highlighted that t
252 nt metabolites were quantified in a targeted GC-MS approach.
253 (GC-MS) combined with thermal desorption (TD-GC-MS) was used to identify and quantify VOCs, and in pa
254 ectrometry coupled to thermal desorption (TD-GC-MS).
255  to gas chromatography-mass spectrometry (TD-GC-MS).
256 ion gas-chromatography mass-spectrometry (TD-GC-MS).
257                                          The GC-MS analyses were performed simultaneously by the sugg
258                                          The GC-MS component co-elution was overcome by GCxGC-qMS.
259                                          The GC-MS procedure was applied for the determination of ALA
260                                          The GC-MS results were broadly consistent with the functiona
261 sive clean up of the samples followed by the GC-MS determination of the pesticide residues.
262 ee of interference of polyester resin in the GC-MS and Carbon-IRMS signals of different lipid fractio
263 ethanol, 1muL of which was injected into the GC-MS.
264 ultiblock analysis) and decomposition of the GC-MS raw data by PARADISe were applied to evaluate the
265  solid phase extraction procedures, and then GC-MS/MS for the analysis of THC, CBN, CBD, THC-OH and T
266  (Arabica and Robusta) were analyzed through GC-MS and two clean-up methods were compared.
267                                  Compared to GC-MS system's analytical performance, the developed met
268 robotic liquid handling platforms coupled to GC-MS, and automated data extraction.
269 to every extract or (iii) injection prior to GC-MS/MS analysis.
270 le compounds were detected with this HS-Trap GC-MS method amongst which the largest groups were keton
271 s, in sponge cake by means of headspace trap/GC-MS.
272                                   Typically, GC-MS is used for chemical identification; however, this
273 t of the propargylsilanes was observed under GC-MS conditions.
274 alyzed in two individual labs for untargeted GC-MS metabolomic profiling.
275  an effect on cell wall composition, we used GC-MS and polyacrylamide gel electrophoresis to measure
276        The volatile component analysis using GC-MS was performed to evaluate the quality of frozen be
277 on gardens were collected and analyzed using GC-MS.
278 ges by means of a metabolomic approach using GC-MS.
279 c) > 5.05%, HbA1c < 4.92%] and assayed using GC-MS, chromatograms were analyzed using MetaboliteDetec
280 erent cultivars has been characterized using GC-MS analysis.
281  compositions of EOs was characterized using GC-MS.
282 rmed on the glycosylated viral fibers, using GC-MS and NMR.
283 from seven inbred lines of Djulis hull using GC-MS.
284 esults compared well to those obtained using GC-MS (average percent difference of -9% across 9 PAHs i
285 study metabolite profiling procedures, using GC-MS approaches, have been established to assess bioche
286 ion and quantification of the residues using GC-MS selected reaction monitoring.
287 idues using UPLC-MS/MS and 71 residues using GC-MS/MS).
288 urkish coffee (DRC) brews were studied using GC-MS-Olfactometry.
289 content of the laser plume was analyzed with GC-MS and screened for aerosolized toxins using Environm
290                 Emissions were analyzed with GC-MS and used to construct empirical correlations for T
291 ptive Extraction (HSSE), in combination with GC-MS.
292 in-solution SBSE/SPME sampling combined with GC-MS to evaluate their compatibility with the cupping e
293 ase MicroExtraction (HS-SPME), combined with GC-MS, to an aqueous extract obtained by homogenization
294 e, Rugged and Safe) extraction combined with GC-MS/MS analysis was developed to investigate fluopyram
295 composition by means of HS-SPME coupled with GC-MS; ii) assess the polyphenolic content by UHPLC mass
296 ted using headspace system and detected with GC-MS, and then analyzed the effects of these HIPVs chem
297 onitored by solid phase microextraction with GC-MS.
298 pression data, metabolite data obtained with GC-MS and LC-MS, proteomics data and a selected set of t
299                      With the same SBSE-GC x GC-MS methodology, a quantitative targeted analysis was
300 as chromatography/mass spectrometry (Py-GC x GC-MS), atmospheric solid analysis probe (ASAP), and dir

 
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