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ObjectiveTo screen the differential markers by analyzing volatile components in Dalbergia odorifera and its counterfeits， in order to provide reference for authentication of D. odorifera. MethodThe volatile components in D. odorifera and its counterfeits were detected by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and the GC conditions were heated by procedure（the initial temperature of the column was 50 ℃， the retention time was 1 min， and then the temperature was raised to 300 ℃ at 10 ℃ for 10 min）， the carrier gas was helium， and the flow rate was 1.0 mL·min-1， the split ratio was 10∶1， and the injection volume was 1 mL. The MS conditions used electron bombardment ionization（EI） with the scanning range of m/z 35-550. The compound species were identified by database matching， the relative content of each component was calculated by the peak area normalization method， and principal component analysis（PCA）， orthogonal partial least squares-discrimination analysis（OPLS-DA） and cluster analysis were performed on the detection results by SIMCA 14.1 software， and the differential components of D. odorifera and its counterfeits were screened out according to the variable importance in the projection（VIP） value>2 and P<0.05. ResultA total of 26， 17， 8， 22， 24 and 7 volatile components were identified from D. odorifera， D. bariensis， D. latifolia， D. benthamii， D. pinnata and D. cochinchinensis， respectively. Among them， there were 11 unique volatile components of D. odorifera， 6 unique volatile components of D. bariensis， 3 unique volatile components of D. latifolia， 6 unique volatile components of D. benthamii， 8 unique volatile components of D. pinnata， 4 unique volatile components of D. cochinchinensis. The PCA results showed that， except for D. latifolia and D. cochinchinensis， which could not be clearly distinguished， D. odorifera and other counterfeits could be distributed in a certain area， respectively. The OPLS-DA results showed that D. odorifera and its five counterfeits were clustered into one group each， indicating significant differences in volatile components between D. odorifera and its counterfeits. Finally， a total of 31 differential markers of volatile components between D. odoriferae and its counterfeits were screened. ConclusionHS-GC-MS combined with SIMCA 14.1 software can systematically elucidate the volatile differential components between D. odorifera and its counterfeits， which is suitable for rapid identification of them.
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ObjectiveBy comparing the differences in composition and content of volatile components between Atractylodis Macrocephalae Rhizoma（AMR）and bleaching AMR， bran-fried AMR and bran-fried bleaching AMR， the effect of processing with rice-washed water on the volatile components in AMR and bran-fried AMR were investigated. MethodHeadspace gas chromatography-mass spectrometry（HS-GC-MS）was used to determine the volatile components in raw products， bran-fried products and their processed products with rice-washed water. GC conditions were programmed temperature（starting temperature of 50 ℃， rising to 140 ℃ at 10 ℃·min-1， maintained for 5 min， then rising to 210 ℃ at 4 ℃·min-1）， splitting ratio of 10∶1， high purity helium as the carrier gas and a solvent delay time of 3 min. MS conditions were an electron bombardment ion source（EI） with an electron collision energy of 70 eV， ion source temperature of 230 ℃， and the detection range of m/z 20-650. The relative contents of the components were determined by the peak area normalization method， the obtained sample data were subjected to principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA） by SIMCA 14.1 software， and the differential components of AMR and bleaching AMR， and bran-fried AMR and bran-fried bleaching AMR were screened according to variable importance in the projection（VIP） value>1 and P<0.05. ResultA total of 71 volatile components were identified， including 53 in AMR， 50 in bleaching AMR， 51 in bran-fried AMR， and 44 in bran-fried bleaching AMR. OPLS-DA results showed that there were significant differences between AMR and bleaching AMR， bran-fried AMR and bran-fried bleaching AMR， but not between AMR samples from different origins. The compound composition of AMR and bleaching AMR， bran-fried AMR and bran-fried bleaching AMR did not change， but the contents of monoterpenes and sesquiterpenes changed significantly. ConclusionSignificant changes in the contents of volatile components were observed in AMR and bleaching AMR， bran-fried AMR and bran-fried bleaching AMR， among them， 1，2-dimethyl-4-methylidenecyclopentene， 9，10-dehydro-isolongifolene， γ-elemene， zingiberene， atractylone， silphinene， modhephene and （1S，4S，4aS）-1-isopropyl-4，7-dimethyl-1，2，3，4，4a，5-hexahydronaphthalene can be used as candidate differential markers of volatile components of AMR before and after processing with rice-washed water.
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Objective@#To develop a headspace gas chromatography ( HS-GC ) assay for simultaneous determination of dichloroacetic acid ( DCA ) and trichloroacetic acid ( TCA ) in urine.@*Methods@#Urine samples (5 mL) were transferred to a 22 mL headspace bottle, added with 0.5 mL 10% sodium acetate solution , immediately sealed, and shaken evenly. The bottle was placed in the HS-GC system, and equilibrated at 90 ℃ for 60 minutes. The mixture was separated with the HP-INNOWAX chromatographic column, and the DCA and TCA concentrations were detected with the hydrogen flame detector.@*Results@#Under the optimal experimental conditions, the correlation coefficient of DCA and TAC was both > 0.999 0 within the range of 10-500.0 μg/L, and the lowest detection limits of DCA and TAC were 2.0 and 3.5 μg/L, with the spike recovery rate of 87.40% to 101.44%, and relative standard deviations of 1.89% to 3.25%. Of the 35 urine samples sampled from occupational populations, DCA and TCA were not detected.@*Conclusions@#The establishment of the HS-GAS assay through addition of sodium acetate and optimization of the headspace conditions, has high recovery and precision, which is effective to meet the requirements for daily determination of DCA and TCA in urine samples.
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Objective @#To establish a headspace-gas chromatography ( HS-GC ) method for the determination of acetone and butanone, the biomarkers of occupational exposure to isopropanol and butanone, in urine of occupational populations. @*Methods @#Urine samples at 5.0 mL were transferred to a headspace bottle, added with 2.0 g anhydrous sodium sulfate, sealed immediately, and placed in a headspace sampler-gas chromatograph-mass spectrometer. Following heating at 60 ℃ for 30 min, 0.5 mL urine samples were injected and separated with the DB-FFAP capillary chromatographic column, and determined with the flame ionization detector. In addition, the retention time and peak area were determined. @*Results @#The peak area appeared a linear relationship with mass concentrations of acetone at 0.16-80 mg/L and butanone at 0.03-16 mg/L (correlation coefficient, 0.999 9), with detection limits of 0.009 and 0.004 mg/L, quantitation limits of 0.03 and 0.02 mg/L, respectively. The mean recovery rates of spiked samples were 93.67%-99.37% and 91.18%-94.41% for low, medium and high concentrations of acetone and butanone, and the relative standard deviations of 1.53%-3.69% and 2.54%-6.58%, respectively. @*Conclusion @#A highly sensitive and repeatable HS-GC method is successfully established for simultaneous determination of acetone and butanone in urine samples by optimizing sample pretreatment and separation, which is feasible for qualitative and quantitative analyses of acetone and butanone in urine.
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ObjectiveBy comparing the difference of volatile components of the decoction pieces before and after being processed by braising method of Jianchangbang and steaming method included in the 2020 edition of Chinese Pharmacopoeia， the influence of processing methods on the flavor formation of Polygoni Multiflori Radix （PMR） was compared. MethodHeadspace-gas chromatography-mass spectrometry （HS-GC-MS） was used to detect the volatile components of 30 batches of PMR samples from 3 origins with 3 processing methods. The GC was performed under programmed temperature （starting temperature of 40 ℃， rising to 150 ℃ at 5 ℃·min-1， and then rising to 195 ℃ at 10 ℃·min-1） with high purity helium as carrier gas and the split ratio of 10∶1. Mass spectrometry conditions were electron impact ion source （EI） and the detection range of m/z 50-650， the peak area normalization method was used to calculate the relative mass fraction of each component. The chromaticity values of different processed products were measured by a precision colorimeter， the relationship between chromaticity values and relative contents of volatile components was investigated by OriginPro 2021， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed on the sample data by SIMCA14.1. The differential components of different processed products of PMR were screened according to the principle of variable importance in the projection （VIP） value>1.5， and the material basis of different odor formation of PMR and its processed products was explored. ResultA total of 59 volatile components were identified， among which 34 were raw products， 33 were braised products， and 27 were steamed products. PCA and OPLS-DA results showed that there were significant differences between the three， but there was no significant difference between samples from different origins of the same processing method. Color parameters of a*， b*， E*ab had no significant correlation with contents of volatile components， while L* was negatively correlated with contents of 2-methyl-2-butenal， 2-methyltetrahydrofuran-3-one and 2，3-dihydro-3，5-dihydroxy-6-methyl-4（H）-pyran-4-one （P<0.05）. The contents of pungent odor components such as caproic acid， nonanoic acid and synthetic camphor decreased after processing， while the contents of sweet flavor components such as 2-methyl-2-butenal， furfural and 5-hydroxymethylfurfural increased after processing， and the contents of furfural， 5-methyl-2-furanmethanol， 5-hydroxymethylfurfural and other aroma components in the braised products were significantly higher than that in the steamed products. ConclusionHS-GC-MS can quickly identify the volatile substance basis that causes the different odors of PMR and its processed products. The effect of processing methods on the odor is greater than that of origin. There is a significant correlation between the color parameter of L* and contents of volatile components， the "raw" taste of PMR may be related to volatile components such as caproic acid， pelargonic acid and synthetic camphor， the "flavor" after processing may be related to the increase of the contents of 2-methyl-2-butenal， furfural， 5-hydroxymethylfurfural， methyl maltol and furfuryl alcohol.
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ObjectiveBy comparing the composition and content changes of the volatile components in Atractylodis Rhizoma before and after processing with rice-washed water， the effect of rice-washed water processing on volatile components in Atractylodis Rhizoma was investigated. MethodHeadspace-gas chromatography-mass spectrometry （HS-GC-MS） was used to detect the volatile components in rhizomes of Atractylodes chinensis and A. lancea， and their processed products of rice-washed water. Chromatographic conditions were programmed temperature （starting temperature of 50 ℃ for 2 min， rising to 120 ℃ with the speed of 10 ℃·min-1， then rising to 170 ℃ at 2.5 ℃·min-1， and rising to 240 ℃ at 10 ℃·min-1 for 3 min）， the inlet temperature was 280 ℃， the split ratio was 10∶1， and the solvent delay time was 3 min. The conditions of mass spectrometry were electron bombardment ionization （EI） with ionization temperature at 230 ℃ and detection range of m/z 20-650. Then the relative content of each component was determined by the peak area normalization method. SIMCA 14.1 software was used to perform unsupervised principal component analysis （PCA） and supervised orthogonal partial least squares-discriminant analysis （OPLS-DA） on each sample data， the differential components of Atractylodis Rhizoma and its processed products were screened by the principle of variable importance in the projection （VIP） value>1. ResultA total of 60 components were identified， among which 40 were rhizomes of A. chinensis and 38 were its processed products， 46 were rhizomes of A. lancea and 47 were its processed products. PCA and OPLS-DA showed that the 4 kinds of Atractylodis Rhizoma samples were clustered into one category respectively， indicating that the volatile components of the two kinds of Atractylodis Rhizoma were significantly changed after processing with rice-washed water， and there were also significant differences in the volatile components of rhizomes of A. lancea and A. chinensis. The compound composition of Atractylodis Rhizoma and its processed products was basically the same， but the content of the compounds was significantly different. The differential components were mainly concentrated in monoterpenoids and sesquiterpenoids， and the content of monoterpenoids mostly showed a decreasing trend. ConclusionAfter processing with rice-washed water， the contents of volatile components in rhizomes of A. lancea and A. chinensis are significantly changed， and pinene， 3-carene， p-cymene， ocimene， terpinolene， atractylon， acetic acid and furfural can be used as difference markers before and after processing.
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ObjectiveBy comparing the composition and content changes of the volatile components in Atractylodis Rhizoma before and after processing with rice-washed water， the effect of rice-washed water processing on volatile components in Atractylodis Rhizoma was investigated. MethodHeadspace-gas chromatography-mass spectrometry （HS-GC-MS） was used to detect the volatile components in rhizomes of Atractylodes chinensis and A. lancea， and their processed products of rice-washed water. Chromatographic conditions were programmed temperature （starting temperature of 50 ℃ for 2 min， rising to 120 ℃ with the speed of 10 ℃·min-1， then rising to 170 ℃ at 2.5 ℃·min-1， and rising to 240 ℃ at 10 ℃·min-1 for 3 min）， the inlet temperature was 280 ℃， the split ratio was 10∶1， and the solvent delay time was 3 min. The conditions of mass spectrometry were electron bombardment ionization （EI） with ionization temperature at 230 ℃ and detection range of m/z 20-650. Then the relative content of each component was determined by the peak area normalization method. SIMCA 14.1 software was used to perform unsupervised principal component analysis （PCA） and supervised orthogonal partial least squares-discriminant analysis （OPLS-DA） on each sample data， the differential components of Atractylodis Rhizoma and its processed products were screened by the principle of variable importance in the projection （VIP） value>1. ResultA total of 60 components were identified， among which 40 were rhizomes of A. chinensis and 38 were its processed products， 46 were rhizomes of A. lancea and 47 were its processed products. PCA and OPLS-DA showed that the 4 kinds of Atractylodis Rhizoma samples were clustered into one category respectively， indicating that the volatile components of the two kinds of Atractylodis Rhizoma were significantly changed after processing with rice-washed water， and there were also significant differences in the volatile components of rhizomes of A. lancea and A. chinensis. The compound composition of Atractylodis Rhizoma and its processed products was basically the same， but the content of the compounds was significantly different. The differential components were mainly concentrated in monoterpenoids and sesquiterpenoids， and the content of monoterpenoids mostly showed a decreasing trend. ConclusionAfter processing with rice-washed water， the contents of volatile components in rhizomes of A. lancea and A. chinensis are significantly changed， and pinene， 3-carene， p-cymene， ocimene， terpinolene， atractylon， acetic acid and furfural can be used as difference markers before and after processing.
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This study adopted headspace-gas chromatography-mass spectrometry(HS-GC-MS) and electronic nose to detect volatile components from Myristicae Semen samples with varying degrees of mildew, aiming at rapidly identifying odor changes and substance basis of Myristicae Semen mildew. The experimental data were analyzed by electronic nose and principal component analysis(PCA). The results showed that Myristicae Semen samples were divided into the following three categories by electronic nose and PCA: mildew-free samples, slightly mildewy samples, and mildewy samples. Myristicae Semen samples with different degrees of mildew greatly varied in volatile components. The volatile components in the samples were qualitatively and quantitatively detected by HS-GC-MS, and 59 compounds were obtained. There were significant differences in the composition and content in Myristicae Semen samples with different degrees of mildew. The PCA results were the same as those by electronic nose. Among them, 3-crene, D-limonene, and other terpenes were important indicators for the identification of mildew. Bicyclo[3.1.0]hexane, 4-methylene-1-(1-methylethyl)-, terpinen-4-ol, and other alcohols were key substances to distinguish the degree of mildew. In the later stage of mildew, Myristicae Semen produced a small amount of hydroxyl and aldehyde compounds such as acetaldehyde, 2-methyl-propionaldehyde, 2-methyl-butyraldehyde, and formic acid, which were deduced as the material basis of the mildew. The results are expected to provide a basis for the rapid identification of Myristicae Semen with different degrees of mildew, odor changes, and the substance basis of mildew.
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Electronic Nose , Gas Chromatography-Mass Spectrometry , Odorants/analysis , Semen/chemistry , Solid Phase Microextraction , Volatile Organic Compounds/analysisABSTRACT
Licorice is one of the most commonly used traditional Chinese medicine. In clinic, raw licorice and honey-fried licorice are used in medicines, with the main effects in clearing away heat and detoxifying, moistening lungs and removing phlegm. Honey-fried licorice has effects in nourishing the spleen and stomach and replenishing Qi and pulse. Because traditional Chinese medicine exerts the effects through multiple components and multiple targets, the index components used in the quality evaluation of licorice are often difficult to reflect their real quality. In addition, most of studies for the quality standards have shown that honey-fried licorice are the same as licorice, with a lack of quality evaluation standards that can demonstrate their processing characteristics. The quality of medicine is directly related to its clinical efficacy, so it is necessary to establish a more effective quality control method. Licorice has a beany smell, which is one of the main quality identification characteristics. In this study, by taking advantage of the odor characteristics, a headspace-gas chromatography-ion migration mass spectrometry technology was used to establish a quality evaluation method. A total of 76 volatile components were identified. Through the dynamic principal component analysis, 7 kinds of volatile substances in raw licorice and 13 kinds of volatile substances in honey-fried licorice were statistically obtained, and could be taken as index components for the quality evaluation of raw and honey-fried licorice, respectively. This study could help realize the combination and unification of modern detection and traditional quality evaluation methods, and make a more realistic evaluation for the quality of licorice.
Subject(s)
Gas Chromatography-Mass Spectrometry , Glycyrrhiza , Honey , Ion Mobility Spectrometry , Volatile Organic CompoundsABSTRACT
Objective:To analyze and compare the fishy components in raw, stir-fried, liquorice-processed, vinegar-processed and wine-processed products of Pheretima aspergillum, and explore the material basis and processing principle of fishy smell of P. aspergillum. Method:Heracles Ⅱ ultra-fasted gas chromatography electronic nose technology combined with chemometrics was used for the overall analysis of volatile components in raw P. aspergillum and its processed products. Headspace gas chromatography-mass spectrometry (HS-GC-MS) was used to analyze and identify the volatile compositions in the raw products and processed products. Gas chromatographic conditions were as following：temperature program (initial temperature at 60 ℃, kept for 5 min, up to 120 ℃ with the heating rate of 3 ℃·min-1, and then up to 230 ℃ with the heating rate of 10 ℃·min-1 and finished), the inlet temperature at 280 ℃, high purity helium as the carrier gas, the flow rate of 1.0 mL·min-1, the split ratio of 20∶1. Mass spectrum conditions were as following：electron impact ionization (EI), electron collision energy of 70 eV, ion source temperature of 230 ℃, quadrupole temperature at 150 ℃, scanning range of m/z 50-550. The relative content of each component was calculated by peak area normalization. Result:Principal component analysis (PCA) and discriminant factor analysis (DFA) of the electronic nose showed that the raw products and its processed products could be clearly distinguished from each other. Among them, the difference between raw products and stir-fried, liquorice-processed products was small, but the difference between raw products and vinegar-processed, wine-processed products was large. A total of 25, 27, 22, 26 and 33 components were respectively identified from raw, stir-fried, liquorice-processed, vinegar-processed and wine-processed products of P. aspergillum, there were 13 common components in these products, including 4 aldehydes (isovaleraldehyde, 2-methylbutyraldehyde, hexanal, benzaldehyde), 2 ketones (2-heptanone, 2-tridecanone), 1 carboxylic acid (lauric acid), 4 heterocyclic compounds (2-methylpyrazine, 2,5-dimethyl pyrazine, 2-pentylfuran, 2-ethyl-6-methyl pyrazine), 1 amine (trimethylamine) and 1 alcohol (1-octen-3-ol). Conclusion:The odorous components in the raw products are mainly derived from aldehydes (isovaleraldehyde, 2-methylbutyraldehyde, isobutyraldehyde, 2-ethylhexanal, hexanal) and amines (trimethylamine). Odorous components of P. aspergillum can be reduced effectively by stir-fried and liquorice, vinegar, wine processing, while flavoring substances can be increased by wine processing to cover its ugly odor. This paper can provide scientific basis for the deodorization of P. aspergillum by processing, and also provide reference for the analysis and correction of ugly odor of other animal medicines.
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Objective To study the influence of halogenated hydroxyl-alkanes inhalation anesthetic on the determination of ethanol content in blood. Methods Halogenated hydroxyl-alkanes were analyzed by headspace gas chromatography with double column confirmatory detection method. The influence of halogenated hydroxyl-alkanes on determination of ethanol content in blood sample by headspace gas chromatography was explored under the different detection conditions of KB-BAC1/ KB-BAC2 and J&W DB-ALC1/DB-ALC2 gas chromatographic column. Results The retention time of sevoflurane and enflurane was similar to that of ethanol and tert butanol respectively when using the J&W DB-ALC1/DB-ALC2 gas chromatographic column, and interfered with the detection of ethanol content in blood; only J&W DB-ALC1 gas chromatographic column can separate the sevoflurane and ethanol components, so as to eliminate their influence on the detection of ethanol content in blood. When using KB-BAC1/KB-BAC2 gas chromatographic column, the retention time of sevoflurane, isoflurane and ethanol is similar, especially that of sevoflurane and ethanol, and sevoflurane obviously interferes with the determination of ethanol content in blood. Conclusion Halogenated hydroxy-alkanes interfere with determination of ethanol content in blood by headspace gas chromatography. The interference can be discriminated effectively by choosing the suitable chromatographic column and double column confirmatory detection.
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Alkanes , Anesthetics, Inhalation , Ethanol , Isoflurane , SevofluraneABSTRACT
OBJECTIVE： To establish a method for simultaneous determination of 9 kinds of organic solvents residues in total flavonoids extracts from Abelmoschus manihot. METHODS： Headspace GC was adopted to determine the contents of 9 kinds of organic solvents residues in total flavonoids extracts from A. manihot， such as benzene， acrylonitrile， methyl methacrylate， toluene， 1，2-dichloroethane， xylene， chlorobenzene， styrene and divinylbenzene. The determination was performed on Agilent DB-WAX capillary column （30 m×0.25 mm， 0.25 μm） through temperature-programmed route. The inlet temperature and FID detector temperature were set at 250 ℃. The carrier gas was nitrogen with the flow rate of 1.2 mL/min. The split ratio was 10 ∶ 1. The containers of headspace injector were in equilibrium at 90 ℃ for 45 min and the sample size was 1 mL. RESULTS： The separation degree among the peaks of 9 components was greater than 1.5， and the blank solvent （10％ N-methyl pyrrolidone aqueous solution） had no interference. The linear ranges of them were 0.16-1.21， 0.80-6.03， 1.61-12.09，1.62-12.12， 0.16-1.21， 1.60-12.01， 0.81-6.11， 1.60-12.03， 0.80-6.03 μg/mL， respectively （r≥0.999 4）. The limits of quantitation were 0.162 08， 0.201 08， 0.080 6， 0.080 768， 0.161 92， 0.400 36， 0.040 712， 0.026 736， 0.013 395 μg/mL； the limits of detection were 0.040 52， 0.040 216， 0.026 87， 0.026 9，0.040 48， 0.080 072， 0.013 57， 0.008 912， 0.004 465 μg/mL， respectively. RSDs of precision （n＝5） and reproducibility （n＝6） tests were all lower than 5％. Average recoveries were 99.41％-111.27％（RSD＜9％， n＝9）. Above 9 residual solvents were not detected in 3 batches of total flavonoids extracts from A. manihot. CONCLUSIONS： Established method is simple， accurate and reliable， and can be applied for simultaneous detection of 9 kinds of organic solvents residues in total flavonoids extracts from A. manihot.
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Objective:To establish a headspace GC method for the determination of residual formaldehyde in EDTA-2Na. Meth-ods:A headspace GC was used to separate the residual solvents on an Agilent DB-WAX (30 m×0.32 mm,0.5 μm) capillary col-umn with an FID detector. The carrier gas was nitrogen at the flow rate of 1.0 ml·min-1. The temperature of the injector was 230 ℃and that of the FID was 260 ℃. The programmed column temperature was set as follows: maintained at 40 ℃ for 6 min, and then raised to 230 ℃ at the rate of 40 ℃·min-1and maintained for 10 min. The injection volume was 1μl with the split ratio of 2:1. The reference solvent and sample were filled into the containers of headspace injector and the containers were in equilibrium at 95℃ for 25 min. The amount of residual formaldehyde was calculated by an external standard method.Results:There was a good linear relationship of formaldehyde reference solvent within the concentration range of 5.10-102.00 μg·ml-1(r=0.999 7). The average recovery was 84.60%(RSD=3.82%,n=9). Conclusion: The method is simple,rapid and accurate for the determination of residual formalde-hyde in EDTA-2Na.
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A simple and sensitive method for simultaneous determination of 12 kinds of residual solvents in a new drug CBT108 was established and validated by headspace gas chromatographic technology. The rationality,accuracy and feasibility of the analytical method were verified. Under the optimized conditions, simultaneous separation and determination of 12 kinds of residual solvents, including methanol, ethanol, ether, acetone, acetonitrile, dichloromethane, n-hexane, ethyl acetate, tetrahydrofuran, heptane, toluene and carbon tetrachloride was carried out by using a DB624 capillary column(30 m×0.53 mm×3.0 μm) for separation, a flame ionization detector for detection and internal standard method for quantitation. Good linearity was obtained for 12 solvents with the correlation coefficients(R2) of more than 0.997. The limits of quantitation and detection were defined at S/N=3 and S/N=10,respectively. LOQ and LOD for 12 solvents were given as 0.024 μg/mL and 0.0072 μg/mL for methanol,0.1 μg/mL and 0.012 μg/mL for ethanol, 0.01 μg/mL and 0.005 μg/mL for ether, 0.1 μg/mL and 0.008 μg/mL for acetone, 1.025 μg/mL and 0.0615 μg/mL for acetonitrile, 0. 09 μg/mL and 0. 06 μg/mL for dichloromethane, 0. 09 μg/mL and 0.06 μg/mL for n-hexane, 0. 25 μg/mL and 0. 008 μg/mL for ethyl acetate, 0. 108 μg/mL and 0.014 μg/mL for tetrahydrofuran,0.16 μg/mL and 0.0004 μg/mL for carbon tetrachloride,0.0075 μg/mL and 0.005 μg/mL for heptane, and 0.0445 μg/mL and 0.0014 μg/mL for toluene. The adding standards recoveries for 12 residual solvents at three spiked levels were in the range of 90.96%-108.67%,with relative standard deviations of 0.1%-5.7%. This simple,high accuracy and good repeatability method is feasible for rapidly determination of 12 residual solvents in drug candidate CBT108. Meanwhile, this simple method provides a consulted value for detection of residual solvents in other medicines.
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A headspace gas chromatography method was developed for the determination of six residual solvents including methanol, ethanol, acetone, dichloromethane, tetrahydrofuran and toluene residues in selexipag to provide the experimental basis for its quality control.The samples were separated on Kromat PC-624(V)silica capillary column(30.0 m ×0.32 mm,1.8 μm)using temperature programming.The column temperature was kept at 40 ℃ for 5 min initially,and then raised to 180 ℃ at the rate of 20 ℃ /min and subsequently sustained for 5 min.FID detector temperature was 250 ℃ and injection temperature was 200 ℃.The split ratio was 20 : 1. The six residual solvents are separated completely under the given chromatographic conditions with a good linearity (r=0.998 2-1.000);the results of precision,repeatability and stability experiments met the requirement,and the mean recoveries of all solvents were in the range of 96.67％-101.7％.The analytical method is simple,accurate and sensitive,and it can be used for the determination of residual solvents in selexipag.
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Objective To study the method of headspace gas chromatography for the determination of β-eugenol in Magnolia officinalis. Methods Headspace gas chromatography was used. The column was HP-INNOWax capillary column, the detector was hydrogen flame ionization detector, inlet temperature: 200 ℃; column temperature: 135 ℃ for 3min, at 10 ℃/min heating rate rose to 150 ℃, At a rate of 15 ℃/min up to 250 ℃for 5 min; constant flow rate: 0.8 mL/min; detector temperature: 250 ℃; headspace injection, gas injection volume: 1 mL, headspace Temperature 180 ℃, the balance time 30min; with the external standard method according to the peak area calculation results. Results The linear range of the concentration of menthol was 2.49～24.86 μg/mL (r=0.9994). The RSD of the precision, stability and repeatability test were <5％, the average recovery was 97.0％, RSD was 0.84％ (n=9). Conclusion The method is simple and accurate for the determination of volatile oil.
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Objective To establish a method for determination of the twelve residual organic solvents,including methanol,ethanol,acetone,isopropanol,tert-Butyl methyl ether,dichloromethane,aceticether,tetrahydrofuran,triethylamine,trimethylorthofor-Mate,morpholine,N,N-Dimethylformamide in Apixaban bulks drug.Methods Gas head-space chromatography was applied to this study.The column was DB-624 silica capillary column (30.0 m × 0.53 mm × 3.00 μm) and the carrier gas was high purity nitrogen;The vial temperature was 100 ℃,and the vial time was 20 min.The Column temperature was kept at 40 ℃ for 6 min,then the temperature was raised to 220 ℃ at the rate of 20 ℃/min and subsequently sustained for 10 min.FID detector temperature and injection temperature were both 250 ℃.The N2 flow rate was 2.8 mL/min.Split ratio was 5∶1.Results Twelve kinds of solvents were completely separated and determined with a good linearity (r =0.9994-0.9999).The RSD values of precision experiments and the average recovery was in line with the requirements.Conclusion Theanalytical method is simple,accurate and sensitive,which could be used for determination of residual organic solvents in Apixaban bulks drug.
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OBJECTIVE:To establish a method for the determination of 9 residual organic solvents in blonanserin as methanol, alcohol,isopropyl alcohol,acetonitrile,dichloromethane,hexane,ethyl acetate,tetrahydrofuran and methylbenzene. METHODS:Headspace gas chromatography was adopted. The determination was performed on DB-624 capillary column using temperature pro-gramming. The inlet temperature was 150 ℃,and flame ionization detector was used with temperature of 250 ℃. High purity nitro-gen was used as carrier gas with flow rate of 2.8 mL/min. The split ratio was 1:1,and headspace sample size was 1 mL. Head-space heating temperature was 90 ℃,and equilibration time was 35 min. RESULTS:The linear ranges of methanol,alcohol,iso-propyl alcohol,acetonitrile,dichloromethane,hexane,ethyl acetate,tetrahydrofuran and methylbenzene were 6-1500 μg/mL(r=0.9998),10-2500 μg/mL(r=0.9999),10-2500 μg/mL(r=0.9998),0.82-205 μg/mL(r=0.9994),1.2-300 μg/mL(r=0.9995), 0.58-145 μg/mL(r=0.9994),10-2500 μg/mL(r=0.9999),1.44-360 μg/mL(r=0.9996),1.78-445 μg/mL(r=0.9995),respec-tively. The limits of quantitation were 17.71,6.02,3.17,7.45,1.53,0.69,0.93,1.01,0.22 μg/mL;the limits of detection were 5.89,1.90,1.05,2.48,0.51,0.23,0.31,0.33,0.07 μg/mL,respectively. RSDs of precision and stability tests were all lower than 3.0%,and isopropanol was found in repeatability test (RSD=2.1%). The average recoveries ranged 96.67%-102.66%(RSD=1.9%,n=9),96.00%-101.83%(RSD=1.9%,n=9),97.17%-101.50%(RSD=1.4%,n=9),96.97%-102.44%(RSD=2.2%,n=9),95.83%-103.33%(RSD=2.5%,n=9),95.83%-100.28%(RSD=1.9%,n=9),98.17%-101.25%(RSD=1.0%,n=9),96.55%-102.30%(RSD=1.9%,n=9),96.30%-102.22%(RSD=1.8%,n=9),respectively. CONCLUSIONS:The method is simple,rapid,accurate and suitable for simultaneous determination of 9 residual organic solvents in blonanserin as methanol,alco-hol,isopropyl alcohol,acetonitrile,dichloromethane,hexane,ethyl acetate,tetrahydrofuran and methylbenzene.
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Objective:To establish a method for the determination of 7 residual organic solvents including acetone,2,3 -dimethyl-pentane,3-methylhexane,n-heptane,2,2-dimethylhexane,o-xylene and 2,4,6-trimethylpyridine in Shengxuening tablets. Methods: A headspace gas chromatography method was adopted. The determination was performed on a DB-5MS capillary column ( 30 m × 0. 25 mm,0. 25 μm) with programming temperature. Nitrogen was used as the carrier gas at the flow rate of 2. 5 ml·min-1 . The tem-perature of injector was 200℃,and a flame ionization detector was used as the temperature of 250℃. The containers of headspace in-jector were in equilibrium at 95℃ for 30min. DMF was used as the solvent and an external standard method was used for the determi-nation of the 7 residual solvents. The injection volume was 1 ml. Results:Under the chromatographic conditions, the 7 residual organic solvents could be well separated from each other . The concentration of each solvent showed a good linearity with the peak area within the investigated concentration range (r≥0. 994 4). The average recoveries were 98. 72%-99. 71% (RSD=0. 14%-0. 71%)(n=9). Conclusion:The established method is simple, rapid and sensitive, which can be used for the determination of multiple residual or-ganic solvents in Shengxuening tablets.
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OBJECTIVES@#To establish an automation system for detection of alcohol content in blood.@*METHODS@#The determination was performed by automated workstation of extraction-headspace gas chromatography （HS-GC）. The blood collection with negative pressure, sealing time of headspace bottle and sample needle were checked and optimized in the abstraction of automation system. The automatic sampling was compared with the manual sampling.@*RESULTS@#The quantitative data obtained by the automated workstation of extraction-HS-GC for alcohol was stable. The relative differences of two parallel samples were less than 5%. The automated extraction was superior to the manual extraction. A good linear relationship was obtained at the alcohol concentration range of 0.1-3.0 mg/mL （r≥0.999） with good repeatability.@*CONCLUSIONS@#The method is simple and quick, with more standard experiment process and accurate experimental data. It eliminates the error from the experimenter and has good repeatability, which can be applied to the qualitative and quantitative detections of alcohol in blood.