Development, Optimization and Validation of Gas Chromatographic Fingerprinting of Brazilian Commercial Diesel Fuel for Quality Control

Santos, Bruno César Diniz Brito dos; Flumignan, Danilo Luiz; Oliveira, José Eduardo de

doi:10.1093/chromsci/bms036

Cited by 2 publications

(2 citation statements)

References 22 publications

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“…Analytical procedures were performed by two different approaches: (a) physicochemical property determinations were conducted in accordance to ANP Regulation No. 50 and (b) gas chromatographic procedures were applied, according to the work of dos Santos et al…”

Section: Methodsmentioning

confidence: 99%

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Prediction of Relative Density, Distillation Temperatures, Flash Point, and Cetane Number of S500 Diesel Oil Using Multivariate Calibration of Gas Chromatographic Profiles

et al. 2018

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In the present study, hierarchical cluster analysis was used to select 150 S500 diesel fuel samples from an initial set of 1320 samples assayed through official standards according to ANP Brazilian Regulation No. 50/2013. Four physicochemical properties were analyzed, namely, relative density, distillation temperatures (T10%, T50%, and T85%), flash point, and cetane number. Selected samples were also analyzed by gas chromatography with flame ionization detection (GC-FID), a very common technique used for fuel quality control due to its convenience, accuracy, simplicity, and possible association of the chromatographic profiles with multivariate analyses. PLS regression models were obtained aiming at predicting the four physicochemical properties of the diesel fuel samples. From a maximum chromatographic analysis time of 108 min, regression models with unbiased predictions and good prediction capability for all properties were obtained, with average relative errors lower than 6%.

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Section: Methodsmentioning

confidence: 99%

“…The oven program temperature was initially set to 50 °C, increased 2 °C/min until 160 °C, increased a further 4 °C/min until 220 °C, and, finally, increased at 12 °C/min until 320 °C and maintained for 30 min. The total analysis time was 108 min for each sample …”

Section: Methodsmentioning

confidence: 99%

Prediction of Relative Density, Distillation Temperatures, Flash Point, and Cetane Number of S500 Diesel Oil Using Multivariate Calibration of Gas Chromatographic Profiles

et al. 2018

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Chromatographic fingerprinting combined with chemometric methods for the quality evaluation of tea blending using gas chromatography– massspectrometry and gas chromatography–olfactometry

Mao

Qiu

Lian

et al. 2022

Preprint

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The quality of tea, evaluated by its aroma and taste, determines its market value. It is crucial for enterprises to ensure that desired flavors appear in a certain concentration in the tea products, making it to be well liked in specific consumer groups. In this study, fingerprinting approach combined with multivariate statistical analysis were recommended as a promising prospective methodology in obtaining comprehensive quality control of tea flavor, and optimizing tea blending scheme. Six batches of Chuanhong Congou black raw tea from different batches, Camellia cultivars, plucking season, and grades were selected for blending, and 17 blended tea samples were obtained by uniform mixing design. The chromatographic fingerprints of Chuanhong Congou black tea were established by 59 volatiles and 26 aroma–active compounds using gas chromatography–massspectrometry (GC–MS) combine with gas chromatography–olfactometry (GC–O), respectively. Considering the results of sensory evaluation, volatiles fingerprint was fully reflect the comprehensive aroma quality of Congou black tea. 19 compounds were determined as the key factors for the aroma quality control by partial least squares (PLS) regression combined with the variable importance in the projection (VIP) scores. They were (Z)–3–hexenal, heptaldehyde, benzaldehyde, (E)–linalool oxide (furan type), rose ether, (Z)–5–methyl–2–(1–methylethyl)–cyclohexanon, benzyl acetate, decanal, β–cyclocitral, nerol, citronellol, (Z)–3,7–dimethyloctyl–2,6–dienal, valeric acid Leaf alcohol ester, 1–hexadecene, (E)–3,7–dimethyloctano–2,6–dienal, pentyl caproate, ethyl nonanoate, citronellyl acetate and β–ionone. Due to the existence of sensory differential thresholds and interaction of the aroma compounds, sensory evaluation still played an irreplaceable role in the quality evaluation of tea. The chromatographic fingerprints combined with chemometrics could be considered as an extended methodology in providing directions for optimizing blending scheme.

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Development, Optimization and Validation of Gas Chromatographic Fingerprinting of Brazilian Commercial Diesel Fuel for Quality Control

Cited by 2 publications

References 22 publications

Prediction of Relative Density, Distillation Temperatures, Flash Point, and Cetane Number of S500 Diesel Oil Using Multivariate Calibration of Gas Chromatographic Profiles

Prediction of Relative Density, Distillation Temperatures, Flash Point, and Cetane Number of S500 Diesel Oil Using Multivariate Calibration of Gas Chromatographic Profiles

Chromatographic fingerprinting combined with chemometric methods for the quality evaluation of tea blending using gas chromatography– massspectrometry and gas chromatography–olfactometry

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