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Background Volatile organic compounds (VOCs) in exhaled breath are closely associated with respiratory diseases and are linked to various metabolic reactions in the human body. A quantitative analytical method can provide technical support for studying VOCs related to various diseases. Objective To establish a thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS) method for the determination of 27 VOCs in exhaled breath. Methods VOCs in exhaled breath were collected using a Bio-VOC sampler and enriched with Tenax TA thermal desorption tubes before TD-GC-MS analysis. Standards were collected using thermal desorption tubes and optimized for thermal desorption conditions as well as chromatographic and mass spectrometric conditions: The separation of the 27 VOCs was achieved by an optimized temperature program, the improvement of sensitivity by optimizing quantitative ions, and the increase of VOCs desorption efficiency by optimizing thermal desorption time and temperature. Limit of detection, limit of quantification, accuracy, precision, and stability of the proposed method were investigated by spiking with a blank gas bag, and exhaled breath samples from 20 healthy individuals were collected for an application study of the proposed method. Results The thermal desorption temperature was 280 ℃, and desorption time was 6 min. A VF-624ms chromatographic column was selected for the separation of target substances. The initial temperature of heating program was 35 ℃, maintained for 1 min, and then increased to 100 ℃ at a heating rate of 3 ℃·min−1 for 1 min, followed by increasing to 210 ℃ at a heating rate of 28 ℃·min−1 for 5 min. A quantitative analysis was conducted with a single ion monitoring (SIM) mode. Under these conditions, the 27 VOCs showed good linear relationships in their respective concentration ranges and the correlation coefficients were higher than 0.9990. The limits of detection of the method were in the range of 0.01-0.13 nmol·mol−1, the limits of quantification were in the range of 0.02-0.44 nmol·mol−1, and the spiked recoveries were in the range of 80.1%-120.5%, with intra-batch and inter-batch precision ≤ 18.8% and 17.9% respectively. All substances can be stored at room temperature (23-28 °C) for 7 d and at 4 °C for 14 d. The proposed method was applied to exhaled breath samples from 20 subjects with detection rates≥ 80% (except for trans-2-pentene and decane) and a concentration range of 0.00-465.50 nmol·mol−1. Conclusion The established TD-GC-MS method for quantification of VOCs in exhaled breath is characterized by high sensitivity and good accuracy, and is suitable for quantitative determination of VOCs in exhaled breath, which can provide technical support for the study of exhaled breath VOCs.
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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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ObjectiveTo analyze the fingerprint of six pungent herbs based on the molecular connectivity index（MCI）and the matching frequency total statistical moment method， and to study the division and integration of the "imprinting template" of their volatile components， so as to find the common "imprinting template" characteristics of the pungent herbs. MethodThe volatile components of six pungent herbs were extracted by steam distillation， and their fingerprints were established by gas chromatography-mass spectrometry（GC-MS） with a programmed temperature increase（80 ℃ for 5 min， 5 ℃·min-1 to 200 ℃ for 5 min， 2 ℃·min-1 to 230 ℃ for 10 min）， a splitting ratio of 20∶1， an electron bombardment ion source（EI） and the detection range of m/z 35-650， and the average MCI and total statistical moment parameters of the fingerprints were calculated. Then the matching frequency method was used to classify， integrate and confirm the chromatographic peaks of the fingerprints of six pungent herbs. ResultThe average zero order， first-order and second-order MCI values of the volatile components of Pogostemonis Herba， Artemisiae Argyi Folium， Atractylodis Rhizoma， Asari Radix et Rhizoma， Magnoliae Flos and Schizonepetae Herba were 9.02， 5.28 and 5.05， respectively. The average values of peak number， total zero-order moment， total first-order moment and total second-order moment were 60， 169×107， 22.49 min and 36.82 min2， respectively. The 20 integrated imprinting templates were obtained by the matching frequency method for the six pungent herbs， among which three were common imprinting templates with the retention times of （25.97±0.21），（26.90±0.20），（31.64±1.24） min， respectively， and the representative components were valencene，β-elemene， caryophyllin， etc. ConclusionMCI combined the matching frequency total statistical moment can divide and integrate the characteristics of imprinting templates of six pungent herbs， and find their common chromatographic imprinting characteristics， which can provide a reference for the determination of effective substances of pungent herbs.
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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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ObjectiveBy exploring the volatile components， polysaccharide composition and changes in the contents of five carbohydrate components of Polygonatum cyrtonema rhizoma before and after processing， and then the effect of yellow rice wine on the odour formation of P. cyrtonema rhizoma was investigated. MethodThe volatile components of P. cyrtonema rhizoma before and after processing were detected by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and sample data were subjected to principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA） using SIMCA 14.1， then the differences between these components of P. cyrtonema rhizoma before and after processing were screened according to the principle of variable importance in the projection（VIP） value>1. Crude carbohydrate components in raw and wine-processed P. cyrtonema rhizoma were subjected to oxime and silylation， the carbohydrate components were analyzed by gas chromatography-mass spectrometry（GC-MS/MS）， and the relative contents of various components were calculated by peak area normalization， then quantitative analysis of four carbohydrate components was also carried out. ResultA total of 23 volatile components were identified from the raw products and the wine-processed products， including 15 components in raw products and 20 components in wine-processed products. Among them， 2-methylbutyraldehyde and isovaleraldehyde had a sweet odor and their contents increased after processing， but the contents of hexanal and caproic acid decreased， new components such as 2-acetylfuran and 5-methylfuranal were produced after processing. PCA and OPLS-DA results showed that there were significant differences between raw products and the wine-processed products， a total of 13 differential compounds were screened out， of which 7 showed an upward trend in relative content and 6 showed a downward trend. A total of 7 carbohydrate components， including 5 monosaccharides and 2 disaccharides， were identified in raw products and the wine-processed products. The results of determination showed that the contents of fructose， glucose， mannose and sucrose in P. cyrtonema rhizoma increased after wine-processing， and their increases were 4.54， 1.51， 2.93， 3.66 times， respectively. ConclusionAfter processing， the increase of aromatic flavor of P. cyrtonema rhizoma may be related to the increase of the contents of aldehydes such as 2-methylbutyraldehyde and isovaleraldehyde， while the decrease of raw flavor may be related to the decrease of the contents of volatile components such as hexanal and hexanoic acid， the increase of sweet flavor may be related to the increase of the contents of monosaccharides and oligosaccharides such as fructose and sucrose.
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ObjectiveTo investigate the key compounds affecting the irritation and to clarify the effect of heating and the addition of ginger juice as the auxiliary material during the processing on the irritation of Magnoliae Officinalis Cortex（MOC） by comparing the irritation and composition of volatile oil in MOC and its different processed products. MethodVolatile oil in raw products， water-processed products， ginger-dried products， ginger-fried products（the amounts of ginger were 10%， 50%， respectively） of MOC were extracted by steam distillation and subjected to rabbit eye irritation experiment， and the volatile components of each sample were detected by gas chromatography-mass spectrometry（GC-MS）. Principal component analysis（PCA）and orthogonal partial least squares-discriminant analysis（OPLS-DA） were used to analyze the data of each sample by SIMCA 14.1. The relative contents of different processed products were compared two by two with those of and raw products or ginger-fried products， and the markers that might be related to the irritation were sorted out according to the principles of variable importance in the projection（VIP） value >1 and P<0.05， and the factors influencing the differences in irritation were analyzed. ResultCompared with the blank group， the administration groups all had irritation to the eyes of rabbits， and the degree of irritation was in the order of raw products>water-processed products>ginger-dried products>ginger-fried products（10%）>ginger-fried products（50%）. The results of PCA and OPLS-DA showed that there were differences in the volatile oil from raw products and different processed products. According to VIP value>1 and P<0.05， and combined with the results of eye irritation experiment， ten volatile compounds related to irritation changes were screened out. Among them， cis-cinnamaldehyde was only detected in raw products， the relative contents of β-caryophyllene， （+）-delta-cadinene， α-humulene， γ-muurolene， （-）-isoledene and citral all increased to different degrees， the contents of p-cymene， 1（10）-4-cadinadien-15-ol and β-eudesmol all decreased to different degrees. ConclusionThe irritation of MOC is reduced after heating and processing with ginger juice， and the synergistic effect of both is more effective for reducing irritation. Among the differential markers associated with changes in irritation， the increase in the relative content of citral is closely related to the addition of ginger juice， while the decrease in the relative contents of cis-cinnamaldehyde， p-cymene， 1（10）-4-cadinadien-15-ol is related to heating， and the changes of other components may be related to the synergistic effect of heating and ginger juice.
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Objective To establish a rapid qualitative analysis method for volatile organic components in chemicals. Methods Headspace gas chromatography-mass spectrometry was used to qualitatively determine 19 volatile organic components, including benzene, 1,2-dichloroethane, and n-hexane, in chemicals. Different sample amounts, heating temperatures, heating times, and sample volumes were analyzed to assess their effects on detection results and optimize sampling conditions. Results Based on the set chromatography, the optimal sampling process of this method was as follows： 5.0 g sample in a 20.0 mL headspace bottle, incubated at 40 ℃ for 30 minutes in a constant-temperature drying incubator, and a 1.00 mL headspace gas injection. The within-run and between-run relative standard deviations of all components ranged from 0.00% to 21.05% and 0.00% to 33.33%, respectively. The samples stored in sealed glass containers were stable at room temperature for at least 60 days. Conclusion This method offers simplicity, good reproducibility, and stability, making it suitable for rapid qualitative analysis of volatile organic components in chemicals.
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@#[Objective] To explore the application of Quality by Design (QbD) tools in assessing geographical variations of Phyllanthus emblica (P. emblica) from five distinct Indian states. [Methods] In the current experiment, the Box-Behnken design with a reduced quartic model and 105 runs was employed with the use of the Design Expert software for randomized response surface mapping. Three different extraction methods (Soxhlet, maceration, and sonication) along with three solventst [distilled water, methanol, and water-methanol mixture (50 : 50 v/v)] were considered in the present study. The anti-oxidant activities, total flavonoid content (TFC), and total phenolic content (TPC) in the P. emblica were determined and analysed by gas chromatography-mass spectrometry (GC-MS) to identify the major components. [Results] The QbD overlay plot showed that the extractive value of the P. emblica was no less than 30% w/w, 2,2-diphenyl-1-picrylhydrazyl (DPPH) no less than 60% mcg/mL (micrograms per millilitre), TFC no less than 75 mg QE/g (milligrams of quercetin equivalents per gram), and TPC no less than 80 mg GAE/g (milligrams of gallic acid equivalents per gram). Moreover, the GC-MS data confirmed the presence of variation in the bioactives of P. emblica extracts. [Conclusion] The model was significant in describing the variation in extractive value, DPPH, TFC, and TPC. The QbD approach may tend to prioritize thoroughness in the extraction process, ultimately resulting in improved quality in the extracted products.
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The menace of drug resistant pathogens is increasing and their level of evading conventional antimicrobials is rising. It is therefore important to discover new antimicrobials to counter the current challenges. Our preliminary investigation identified Bacillus subtilis subsp. subtilis 168 isolated from soil sample sourced from a river bank in Abuja, Nigeria, as the most potent antibiotic-producing bacteria among the other identified producers. The current study screened for the antimicrobial activity of the extract and fractions of the isolate by broth microdilution method. The minimum inhibitory concentration (MIC), minimum bactericidal concentration (MBC) and the ratio of the MBC/MIC were determined. All the tested pathogens were susceptible to the ethyl-acetate extract (MIC between 28.70 mg/ml and 57.40 mg/ml). The extract displayed bactericidal activity against all tested pathogens (MBC/MIC between 1.00 and 2.00) while Proteus mirabilis was least susceptible. The extract was purified by vacuum liquid chromatography and the fractions challenged with pathogenic strains. The fraction E was the most potent (MIC between 0.09 mg/ml and 0.75 mg/ml) and also bactericidal against all the test microbes (MBC/MIC between 2.00 and 2.11). GC-MS analysis of the purified sub fraction obtained from fraction E identified 13 compounds with different Retention time and peak areas. Among these were three major compounds which include: (i) bis(2-ethylhexyl) phthalate (ii) 1,4-epoxynaphthalene-1(2H)-methanol, 4,5,7-tris(1,1-dimethylethyl)-3,4-dihydro- (iii) D:B-Friedo-B':A'-neogammacer-5-en-3-ol, (3.beta.)-. Our findings suggest that Bacillus subtilis subsp. subtilis 168 isolated locally could serve as a valuable source of lead compounds for pharmaceutical and biotechnological purposes.
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Covalent organic nanospheres(CONs)were explored as a fiber coating for solid-phase microextraction of genotoxic impurities(GTIs)from active ingredients(AIs).CONs were synthesized by an easy solution-phase procedure at 25℃.The obtained nanospheres exhibited a high specific surface area,good ther-mostability,high acid and alkali resistance,and favorable crystallinity and porosity.Two types of GTIs,alkyl halides(1-iodooctane,1-chlorobenzene,1-bromododecane,1,2-dichlorobenzene,1-bromooctane,1-chlorohexane,and 1,8-dibromooctane)and sulfonate esters(methyl p-toluenesulfonate and ethyl p-toluenesulfonate),were chosen as target molecules for assessing the performance of the coating.The prepared coating achieved high enhancement factors(5097-9799)for the selected GTIs.The strong affinity between CONs and GTIs was tentatively attributed to T-T and hydrophobicity interactions,large surface area of the CONs,and size-matching of the materials.Combined with gas chromatography-mass spectrometry(GC-MS),the established analytical method detected the GTIs in capecitabine and imatinib mesylate samples over a wide linear range(0.2-200 ng/g)with a low detection limit(0.04-2.0 ng/g),satisfactory recovery(80.03％-109.5％),and high repeatability(6.20％-14.8％)and reproducibility(6.20％-14.1％).Therefore,the CON-coated fibers are promising alternatives for the sensitive detection of GTIs in AI samples.
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ObjectiveTo study the changes of primary metabolites and phenols in the fruits of Acanthopanax senticosus at different development stages, so as to provide a theoretical basis for the rational utilization of A. senticosus fruit resources. MethodThe primary metabolites and phenols in the fruits at different development stages were determined via gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) and then compared by multivariate statistical analysis. ResultA total of 274 chromatographic peaks were obtained by GC-MS-based non-targeted metabonomics and 24 differential metabolites were screened out by multivariate statistical analysis. The differential metabolites were mainly concentrated in pentose phosphate pathway, galactose metabolism, ascorbic acid and aldose metabolism pathways. After color conversion, the pentose phosphate pathway and galactose metabolism were activated and increasing sugars were accumulated. The ascorbic acid and aldose metabolism pathways were active before color conversion, with high accumulation of the end product ascorbic acid. The ultra-high liquid chromatography-mass spectrometry (UPLC-MS) identified 28 phenols in the fruits at different development stages. Flavonoids were accumulated mainly at the green ripening stage before color conversion, and phenolic acids were accumulated mainly after color conversion. ConclusionThe accumulation of primary metabolites and phenols in A. senticosus fruits varies significantly among different development stages
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ObjectiveTo analyze the quality changes of Platycladi Semen before and after the deterioration of moth-eaten and rancidity during storage. MethodFour types samples of Platycladi Semen， including normal， moth-eaten， oxidative rancidity and hydrolytic rancidity， were determined for volatile components， odor， and taste based on headspace solid phase microextraction/gas chromatography-mass spectrometry （HS-SPME/GC-MS） and electronic sensory techniques such as electronic nose and electronic tongue. Volatile components were identified by searching the database and manual comparison， the odor and taste were determined by the response values of the electronic nose and electronic tongue sensors， and the difference between samples before and after deterioration was studied by multivariate statistical analysis. ResultA total of 85 compounds were identified in Platycladi Semen samples. Compared with the normal samples， the number of volatile compounds in samples after hydrolytic rancidity decreased by 5， the number of volatile compounds in samples after moth-eaten and oxidative rancidity increased by 1 and 21， respectively. Aldehydes and acids accounted for majority of types. Among them， the contents of N-hexanoic acid， hexanal and propionic acid in the samples of oxidative rancidity reached 11.49%， 10.21% and 7.52%， which became the key indicators of rancidity. There was significant variance among the odor components corresponding to W1W， W2W and W1S sensors by electronic nose analysis. It was indicated that the value of sourness in deteriorated samples generally increased by mean of electronic tongue analysis. Compared with normal samples， the moth-eaten samples had changed slightly and rancidity samples had changed significantly especially oxidative rancidity samples of volatile components， odor and taste by multivariate statistical analysis. ConclusionIn terms of Platycladi Semen， the oxidative rancidity caused by nature storage for 12 months has the greatest impact on the quality. Therefore， it should be mainly to prevent oxidative rancidity to ensure the quality of Platycladi Semen.
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Background Long-term occupational polycyclic aromatic hydrocarbons (PAHs) exposure is an important risk factor for cognitive impairment. At the same time, it can also cause a decrease of brain-derived neurotrophic factor (BDNF). However, it is not clear whether BDNF plays a key role in the cognitive impairment of workers caused by occupational PAHs exposure. Objective To analyze the correlation between the levels of PAHs in the plasma of coke oven workers and cognitive impairment, and to explore the possible mediating effect of plasma BDNF level on the relationship between PAHs and cognitive impairment. Methods A cross-sectional survey was carried out to select 138 pairs of workers from a coking plant (exposure group) and an energy plant (control group) in a large enterprise in Taiyuan, and the matching variables included age, education level and smoking status. The basic data of the workers were collected by questionnaire. The cognitive function of the workers was assessed by the Montreal Cognitive Assessment (MoCA) scale. Fasting elbow venous blood was collected, the plasma concentrations of 16 PAHs were determined by high performance gas chromatography-mass spectrometry (GC-MS), and the plasma concentration of BDNF was detected by enzyme-linked immunosorbent assay (ELISA). Multiple linear regression model was used to analyze the relationship between 12 PAHs levels in plasma and MoCA scores, and Bootstrap method was used to analyze the mediating effect of BDNF in the relationship between these two indicators. Results The average (\begin{document}$\bar x \pm s $\end{document}) age of workers in the two groups was (48.46±5.04) years, the length of service was (21.45±9.78) years, and 58.7% of the participants reported their education level at secondary vocational school, high school, and above. The median level (25th and 75th percentiles) [M(P25, P75)] of plasma Σ12PAHs concentration of workers in the exposure group [20.937 (9.454, 38.387) μg·L−1] was significantly higher than that of the control group [9.997 (4.952, 23.770)μg·L−1] and the MoCA score (22.82±2.38) of the exposure group was significantly lower than that of the control group (24.60±5.67) (P<0.05). The plasma BDNF showed no significant difference between the exposure group [(29.99±9.80) μg·L−1] and the control group [(31.48±9.09) μg·L−1](P>0.05). Taking plasma PAHs as independent variable and MoCA score as dependent variable, after adjusting selected covariates, the results of multiple linear regression model showed that the MoCA score changed by −0.020 (95%CI: −0.035 - −0.005) for every 1 μg·L−1 increase of plasma Σ12PAHs. Low (<P33), medium ( P33~P66) and high (>P66) dummy variables were set according to the intertertile boundaries (8.31, 23.76) μg·L−1 of the plasma level of Σ12PAH of the workers. The change of MoCA score in the high concentration group versus the low concentration group was −1.167 (95%CI: −1.866 - −0.467). The MoCA score changed by 0.066 (95%CI: 0.012 - 0.119) for each 1 μg·L−1 increase in plasma BDNF level. The results of dichotomous logistic regression analysis showed that the risk of cognitive impairment in the high concentration group was 2.635 (95% CI: 1.085 - 6.398) times higher than that in the low concentration group. The results of mediating effect analysis showed that plasma BDNF level was an intermediate variable between PAHs and cognitive impairment, and 45.50% of PAHs-induced cognitive impairment risk was mediated by reduced BDNF level. Conclusion The level of plasma PAHs in coke oven workers is negatively correlated with MoCA score, and PAHs may mediate cognitive impairment by reducing plasma BDNF level.
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Objective: To explore the metabolite profile and metabolic pathways of newly diagnosed multiple myeloma (MM). Methods: Gas chromatography-mass spectrometry (GC-MS) was employed for the high-throughput detection and identification of serum samples from 55 patients with MM and 37 healthy controls matched for age and sex from 2016 to 2017 collected at the First Affiliated Hospital of Soochow University. The relative standard deviation (RSD) of quality control (QC) samples was employed to validate the reproducibility of GC-MS approach. The differential metabolites between patients with MM and healthy controls were detected by partial least squares discrimination analysis (PLS-DA), and t-test with false discovery rate (FDR) correction. Metabolomics pathway analysis (MetPA) was employed to construct metabolic pathways. Results: There were 55 MM patients, including 34 males and 21 females. The median age was 60 years old (42-73 years old). There were 30 cases of IgG type, 9 cases of IgA type, 1 case of IgM type, 2 cases of non-secreted type, 1 case of double clone type and 12 cases of light chain type, including 3 cases of kappa light chain type and 9 cases of lambda light chain type. The result of QC sample test showed that the proportion of compounds with the RSD of the relative content of metabolites < 15% was 70.21% obtained by the reproducibility of GC-MS experimental data, which implied that the experimental data were reliable. A total of 17 metabolites were screened differently with the healthy control group, including myristic acid, hydroxyproline, cysteine, palmitic acid, L-leucine, stearic acid, methionine, phenylalanine, glycerin, serine, isoleucine, tyrosine, valine, citric acid, inositol, threonine, and oxalic acid (VIP>1, P<0.05). Metabolic pathway analysis suggested that metabolic disorders in MM patients comprised mainly phenylalanine metabolism, glyoxylic acid and dicarboxylic acid metabolism, phosphoinositide metabolism, cysteine and methionine metabolism, glycerolipid metabolism, glycine, serine, and threonine metabolism. Conclusion: Compared with normal people, patients with newly diagnosed MM have obvious differences in metabolic profiles and metabolic pathways.
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Male , Female , Humans , Middle Aged , Adult , Aged , Cysteine , Multiple Myeloma/diagnosis , Reproducibility of Results , Metabolome , Metabolomics/methods , Metabolic Networks and Pathways , Methionine , Serine , Phenylalanine , Threonine , BiomarkersABSTRACT
OBJECTIVES@#To establish a combined high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) and gas chromatography-mass spectrometry (GC-MS) method to detect the synthetic cannabinoid CUMYL-PEGACLONE in e-cigarette oil and hair.@*METHODS@#HPLC-MS/MS and GC-MS were used to establish the detection method of CUMYL-PEGACLONE, and the hair of drug-involved persons and the seized e-cigarette oil were detected.@*RESULTS@#The main mass spectrometry characteristic ions m/z of CUMYL-PEGACLONE measured by GC-MS were 91, 179, 197, 254 and 372. CUMYL-PEGACLONE had a good linear relationship in the mass concentration range of 2-50 ng/mL, and the linear correlation coefficient (r) was greater than 0.99. The limit of detection (LOD) of CUMYL-PEGACLONE in hair was 0.01 ng/mg, and the limit of quantitation (LOQ) was 0.02 ng/mg. The LOD of CUMYL-PEGACLONE in e-cigarette oil was 1 ng/mg, and the LOQ was 2 ng/mg. The average recoveries of CUMYL-PEGACLONE under the attempt at high, intermediate and low levels in blank human hair and e-cigarette oil matrix were 98.2%-132.4% and 93.5%-110.6%, and the intraday and intraday precision were 1.2%-12.9% and 0.7%-2.9%. CUMYL-PEGACLONE was detected in the hair of 15 drug-involved persons. Except for 1 person who was lower than LOQ, the concentration of CUMYL-PEGACLONE in the hair of other 14 persons was 0.035-0.563 ng/mg. The mass fraction of CUMYL-PEGACLONE in 2 e-cigarette oil were 0.17% and 0.21%, respectively.@*CONCLUSIONS@#The established HPLC-MS/MS and GC-MS methods are applied to the detection of HPLC-MS/MS in drug-related cases, which provides strong evidence support for the handling authority to quickly investigate these cases, and also provides a reference for the identification of such substances in future.
Subject(s)
Humans , Illicit Drugs/analysis , Tandem Mass Spectrometry , Electronic Nicotine Delivery Systems , Cannabinoids , Hair/chemistry , Limit of Detection , Substance Abuse Detection/methodsABSTRACT
Mesmo reduzida e fragmentada, o vasto bioma da Mata Atlântica abriga milhares de plantas. Como destaque, tem-se as espécies frutíferas, aos quais podem ser atribuídas um importante valor para a segurança alimentar, nutricional e sociocultural. Entre elas, têm-se a cereja-do-rio grande (Eugenia involucrata DC.) e a grumixama (Eugenia brasiliensis Lam.), caracterizadas pela polpa de sabor doce-acidulado, sendo muito apreciadas e utilizadas tanto in natura, quanto no preparo de doces, xaropes, licores e geleias. Uma das características determinantes para o sucesso e aceitação destes frutos pelo consumidor, são os atributos de qualidade sensorial. As propriedades aromáticas dos frutos dependem da potência individual dos voláteis e a concentração de cada um, bem como a combinação com outros compostos. Todavia, apesar do grande potencial de mercado, devido às características nutricionais, fitoterápicas, potencial funcional e ao sabor exótico, os plantios existentes destas são oriundos de multiplicação por sementes, resultando em plantas desuniformes quanto as características de produção e qualidade. Neste sentido, o presente trabalho teve como objetivo identificar metabólitos voláteis que confiram características sensoriais desejáveis aos frutos. Auxiliando na identificação de plantas que produzem frutos com voláteis de interesse para o sabor, o que permitirá a clonagem e propagação de plantas com homogeneidade na produção. Os compostos voláteis foram analisados em triplicata, de acordo com o método de microextração em fase sólida (SPME, do inglês Solid Phase Microextraction). Os resultados mostraram que os grupos de frutos das diversas regiões se diferenciaram quanto a composição dos metabolitos voláteis, bem como na abundância destes compostos. Observou-se também uma variação de composição entre as árvores da mesma região demonstrando tal irregularidade ocasionada pela propagação por sementes. A maioria de compostos voláteis produzidos foram identificados como terpenos, sendo estes já conhecidos pela importância no flavor em frutos. Desta forma, conhecer o aroma fornecerá um conjunto de dados que são subsídios para outros pesquisadores trabalharem em suas diversas áreas buscando características necessárias para o sucesso da comercialização, ocasionando no incentivo ao cultivo e valorização da riqueza nacional, no âmbito das espécies frutíferas, com vistas à proteção ambiental e em defesa da biodiversidade brasileira
The Atlantic Forest harbors thousands of plants despite of its reduced and fragmented character. It is important to highlight the fruit species which hold attributed and important value for food and socio-cultural security. Among them, there are the big cherry (Eugenia involucrata DC.) And the grumixama (Eugenia brasiliensis Lam.), fruit with sweet-acidulated flavor, which is much appreciated and used in the preparation of sweets, syrups, liqueurs, and jellies. One of the determining characteristics for the success and acceptance of these fruits by the consumer are the attributes of sensorial quality. The aromatic properties of the fruits depend on the individual potency of the volatiles and the concentration in each one of them, as well as the combination with other compounds. Despite of the great market potential due to the nutritional, phytotherapic and exotic flavor characteristics, the existing plantations of these fruits are originated from seed multiplication, resulting on uneven plants in terms of production and quality characteristics. In this sense, the presented work below was aimed to identify volatile metabolites that confer desirable sensorial characteristics to the fruits. The volatile compounds were analyzed in triplicate according to the Solid Phase Microextraction (SPME) method. The results showed that the fruit groups from different regions differed in terms of the composition of volatile metabolites, as well as in the abundance of these compounds. There was also a variation of composition among the trees of the same region which demonstrated such heterogeneity caused by seed propagation. Most volatile compounds produced were identified as terpenes which are known for playing an important role in the flavor of fruits. In this way, by knowing the aroma, a set of data will be provided and used as an allowance for other researchers who are working in the various areas related to the pursue of the necessary characteristics for the commercial success, resulting on the motivation to cultivate and value the forest
Subject(s)
Myrtaceae/classification , Volatile Organic Compounds/adverse effects , Eugenia , Fruit/classification , Plants , World Health Organization , Conservation of Natural Resources/methods , Biodiversity , Gas Chromatography-Mass Spectrometry/methods , OdorantsABSTRACT
Mesmo reduzida e fragmentada, o vasto bioma da Mata Atlântica abriga milhares de plantas. Como destaque, tem-se as espécies frutíferas, aos quais podem ser atribuídas um importante valor para a segurança alimentar, nutricional e sociocultural. Entre elas, têm-se a cereja-do-rio grande (Eugenia involucrata DC.) e a grumixama (Eugenia brasiliensis Lam.), caracterizadas pela polpa de sabor doce-acidulado, sendo muito apreciadas e utilizadas tanto in natura, quanto no preparo de doces, xaropes, licores e geleias. Uma das características determinantes para o sucesso e aceitação destes frutos pelo consumidor, são os atributos de qualidade sensorial. As propriedades aromáticas dos frutos dependem da potência individual dos voláteis e a concentração de cada um, bem como a combinação com outros compostos. Todavia, apesar do grande potencial de mercado, devido às características nutricionais, fitoterápicas, potencial funcional e ao sabor exótico, os plantios existentes destas são oriundos de multiplicação por sementes, resultando em plantas desuniformes quanto as características de produção e qualidade. Neste sentido, o presente trabalho teve como objetivo identificar metabólitos voláteis que confiram características sensoriais desejáveis aos frutos. Auxiliando na identificação de plantas que produzem frutos com voláteis de interesse para o sabor, o que permitirá a clonagem e propagação de plantas com homogeneidade na produção. Os compostos voláteis foram analisados em triplicata, de acordo com o método de microextração em fase sólida (SPME, do inglês Solid Phase Microextraction). Os resultados mostraram que os grupos de frutos das diversas regiões se diferenciaram quanto a composição dos metabolitos voláteis, bem como na abundância destes compostos. Observou-se também uma variação de composição entre as árvores da mesma região demonstrando tal irregularidade ocasionada pela propagação por sementes. A maioria de compostos voláteis produzidos foram identificados como terpenos, sendo estes já conhecidos pela importância no flavor em frutos. Desta forma, conhecer o aroma fornecerá um conjunto de dados que são subsídios para outros pesquisadores trabalharem em suas diversas áreas buscando características necessárias para o sucesso da comercialização, ocasionando no incentivo ao cultivo e valorização da riqueza nacional, no âmbito das espécies frutíferas, com vistas à proteção ambiental e em defesa da biodiversidade brasileira
The Atlantic Forest harbors thousands of plants despite of its reduced and fragmented character. It is important to highlight the fruit species which hold attributed and important value for food and socio-cultural security. Among them, there are the big cherry (Eugenia involucrata DC.) And the grumixama (Eugenia brasiliensis Lam.), fruit with sweet-acidulated flavor, which is much appreciated and used in the preparation of sweets, syrups, liqueurs, and jellies. One of the determining characteristics for the success and acceptance of these fruits by the consumer are the attributes of sensorial quality. The aromatic properties of the fruits depend on the individual potency of the volatiles and the concentration in each one of them, as well as the combination with other compounds. Despite of the great market potential due to the nutritional, phytotherapic and exotic flavor characteristics, the existing plantations of these fruits are originated from seed multiplication, resulting on uneven plants in terms of production and quality characteristics. In this sense, the presented work below was aimed to identify volatile metabolites that confer desirable sensorial characteristics to the fruits. The volatile compounds were analyzed in triplicate according to the Solid Phase Microextraction (SPME) method. The results showed that the fruit groups from different regions differed in terms of the composition of volatile metabolites, as well as in the abundance of these compounds. There was also a variation of composition among the trees of the same region which demonstrated such heterogeneity caused by seed propagation. Most volatile compounds produced were identified as terpenes which are known for playing an important role in the flavor of fruits. In this way, by knowing the aroma, a set of data will be provided and used as an allowance for other researchers who are working in the various areas related to the pursue of the necessary characteristics for the commercial success, resulting on the motivation to cultivate and value the forest
Subject(s)
Myrtaceae/anatomy & histology , Volatile Organic Compounds , Eugenia/anatomy & histology , Fruit/adverse effects , Plants/adverse effects , Solid Phase Microextraction/methods , Gas Chromatography-Mass Spectrometry/methods , Odorants/analysisABSTRACT
Objective: To establish a method for the determination of methyl isobutyl ketone (MIBK) in urine samples by headspace-gas chromatography-mass spectrometry. Methods: Automatic headspace sampling technique was adopted to optimize the headspace conditions (headspace bottle heating temperature and equilibration time) and gas chromatographic conditions. A total of 5 ml samples were taken and added with 3.0 g ammonium sulfate into a 20 ml headspace bottle. After heated at 60 ℃ for 30 mins, gas from the upper part of headspace bottle was injected into gas chromatography with an injection volume of 100 μl. The target was separated by HP-5MS UI (30 m×0.25 mm×0.25 μm) capillary column and then detected by mass spectrometry detector. The retention time and external standard method were used for qualitative and quantitative analysis of MIBK in samples, respectively. Results: The standard curve of MIBK showed significant linearity between 20.0-1 000.0 μg/L. The standard curve was y=62.9x-652.5, and the correlation coefficient r=0.9998. The detection limit of MIBK was 5.0 μg/L and the quantification limit of MIBK was 16.0 μg/L. The average recovery rate was 95.3%~100.2% at three spiked concentrations of low (50.0 μg/L) , medium (200.0 μg/L) and high (500.0 μg/L) . The intra-day and inter-day precisions were 1.7%~3.8% (n=6) and 1.2%~4.0% (n=6) respectively. This method was stable for the determination of MIBK, and the urine could be kept 14 d at -20 ℃ without significantly loss. Conclusion: This method is proved to be simple, practical and highly sensitive. It can satisfy the request for the determination of urine samples of workers exposed to MIBK.
Subject(s)
Humans , Gas Chromatography-Mass Spectrometry , Methyl n-Butyl KetoneABSTRACT
Objective:To analyze the serum and urinary amino acid (AA) profiles of urolithiasis patients to explore the potential biomarkers for clinical screening and early diagnosis.Methods:Case-control study. Serum and urine samples were collected from 74 urolithiasis patients (aged 20-82 years, 41 men, 33 female) in the department of urology of the First Affiliated Hospital of Fujian Medical University and 35 healthy controls (HC, aged 22-80 years old, 20 men, 15 female) from the health examination center from February 2015 to October 2017. Serum and urinary AA levels of patients and HC were analyzed using Gas Chromatography-Mass Spectrometry (GC-MS) based metabolomic strategy. The multivariate statistical analysis methods of principal component analysis (PCA) and orthogonal partial least squares discrimination analysis (OPLS-DA) were employed for modeling. The variable importance projection (VIP) value of OPLS-DA model>1 and P<0.05 of t test were selected to screen the differential amino acid metabolites. The diagnostic capabilities of potential markers were evaluated by receiver operating characteristic (ROC) curve and binary logistic regression analysis. Results:Five AA metabolites including serine, glutamate, aspartic acid, isoleucine and glycine were found, which had statistically significant differences between the patient group and the control group ( P<0.05) and were associated with seven metabolic pathways. Serum serine, glutamate, aspartic acid, isoleucine and urine glycine and aspartic acid were combined into an integrated marker panel whose AUC value was 0.890, the sensitivity was 78.0%, and the specificity was 96.4%. Conclusion:Five amino acids in serum and urine could be used as an integrated biomarker panel for the clinical screening and early diagnosis of urolithiasis, which could provide some experimental basis for molecular urolithiasis research.
ABSTRACT
Docosanol is the only US Food and Drug Administration(FDA)approved over-the-counter topical product for treating recurrent oral-facial herpes simplex labialis.Validated analytical methods for docosanol are required to demonstrate the bioequivalence of docosanol topical products.A gas chromatography/selected ion monitoring mode mass spectrometry(GC/SIM-MS)method was developed and validated for docosanol determination in biological samples.Docosanol and isopropyl palmitate(internal standard)were separated on a high-polarity GC capillary column with(88％cyanopropy)aryl-polysiloxane employed as the stationary phase.The ions of m/z 83 and 256 were selected to monitor docosanol and isopropyl palmitate,respectively;the total run time was 20 min.The GC/SIM-MS method was validated in accordance with US FDA guidelines,and the results met the US FDA acceptance criteria.The docosanol calibration standards were linear in the 100-10000 ng/mL concentration range(R2＞0.994).The recoveries for docosanol from the receptor fluid and skin homogenates were＞93.2％and＞95.8％,respectively.The validated method was successfully applied to analyze ex vivo human cadaver skin permeation samples.On applying Abreva?cream tube and Abreva?cream pump,the amount of doco-sanol that penetrated human cadaver skin at 48 h was 21.5±7.01 and 24.0±6.95 ng/mg,respectively.Accordingly,we concluded that the validated GC/SIM-MS was sensitive,specific,and suitable for quantifying docosanol as a quality control tool.This method can be used for routine analysis as a cost-effective alternative to other techniques.