2015
DOI: 10.1002/jssc.201500106
|View full text |Cite
|
Sign up to set email alerts
|

Prediction of response factors for gas chromatography with flame ionization detection: Algorithm improvement, extension to silylated compounds, and application to the quantification of metabolites

Abstract: We previously showed that the relative response factors of volatile compounds were predictable from either combustion enthalpies or their molecular formulae only 1. We now extend this prediction to silylated derivatives by adding an increment in the ab initio calculation of combustion enthalpies. The accuracy of the experimental relative response factors database was also improved and its population increased to 490 values. In particular, more brominated compounds were measured, and their prediction accuracy w… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
38
0
1

Year Published

2016
2016
2024
2024

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 51 publications
(42 citation statements)
references
References 19 publications
2
38
0
1
Order By: Relevance
“…Each sample was analysed for three consecutive runs. Quantification of other identified essential‐oil components was carried out using peak‐area normalization with response factors from literature . Experimentally obtained values of response factors for representatives of all groups of essential‐oil constituents were in good agreement with those reported in previous reports .…”
Section: Methodssupporting
confidence: 81%
“…Each sample was analysed for three consecutive runs. Quantification of other identified essential‐oil components was carried out using peak‐area normalization with response factors from literature . Experimentally obtained values of response factors for representatives of all groups of essential‐oil constituents were in good agreement with those reported in previous reports .…”
Section: Methodssupporting
confidence: 81%
“…The RRFi/ISTDnormalPred values used in the formula above were calculated using the formula:RRFi/ISTDnormalPred=RRFi/MOnormalPredRRFISTD/MOnormalMeas,where RRFISTD/MOnormalMeas is the measured RRF of each of the ISTDs relative to MO and RRFi/MOnormalPred is the predicted RRF of sample constituent i relative to MO. The latter values were calculated for each sample constituent based on their molecular formulae (see Appendix S1) . For the determination of the RRFISTD/MOnormalMeas values, solutions of decane (1.49 mg mL –1 ) and 3‐carene (4.32 mg mL –1 ) were prepared at 50, 100, and 150% levels of the specified concentrations, and each solution contained MO (4.36 mg mL –1 ) as the internal standard.…”
Section: Methodsmentioning
confidence: 99%
“…Low‐boiling solvents (methanol, dichloromethane, pentane, diethyl ether, etc.) yield less accurate results and are not recommended …”
Section: Chemicalsmentioning
confidence: 99%
“…The use of experimentally‐determined RRF clearly remains the most accurate means whenever pure authentic standards are available. However, when this is not the case, or when a complex multi‐component mixture makes the experimental RRF measurement too time‐consuming, the predicted RRF are a valid alternative, with a mean accuracy of 6.0% …”
Section: Reproducibilitymentioning
confidence: 99%
See 1 more Smart Citation