The objective of this study was to identify the main floral scents and their relative contents in the floral organ of Nelumbo nucifera. N. nucifera flower, a traditional Chinese medicinal herb, is rich in volatile compounds. In this study, the volatile components of N. nucifera flowers were investigated by headspace solid-phase microextraction gas chromatography-mass spectrometry for each organ of the flower: petals, sepals, pistils, and stamens. In total, we identified 39 compounds, among which aliphatics were major constituents, representing more than 94% of petals and sepals volatiles, followed by sesquiterpenes representing more than 69% of pistils and stamens volatiles. Pentadecane, 1-pentadecene, 8-hexadecyne, 8-heptadecene, and β-caryophyllene characterize the scent of the N. nucifera flower. We identified 24 volatiles in petals and sepals, 25 volatiles in pistils, and 18 volatiles in stamens. Among the monoterpenes, 3-Isopropylidene-4-methylcyclohexene, isoterpinolene, p-Menth-2-en-7-ol, and methyl 2,6,6- trimethylcyclohex-1-enecarboxylate were analyzed and identified for the first time from the N. nucifera flower. This study demonstrates that N. nucifera flowers differ greatly in volatile composition depending on the floral organ of the plant.
Food quality indicator is a simple device to communicate information of food quality to consumers. Change of specific gas composition in the headspace of food packaging can be considered as a food quality indication. For examples, level of carbon dioxide (CO2) increases in the headspace of packaged kimchi which is fermented over time during storage. The elevated ammonia (NH3) level inside a food package is an indication of spoilage. In this study, CO2 indicators and NH3 indicators were developed to monitor food quality and their performance were evaluated. Especially, the correlation between the food quality change and the indicator change were studied during storage. Two types (chitosan-based and whey protein isolate-based) of CO2 indicators was developed to monitor the CO2 concentration in the headspace of a food package. The CO2 indicators showed a visual change depending on CO2 level in the package headspace and were installed on the packaged kimchi and the packaged makgeolli in order to notify their ripening stage. NH3 indicators were developed to monitor the headspace NH3 concentration in the packaged fishery products such as fermented skate. The NH3 indicators showed a prominent color change depending on NH3 level as the skate was fermented over time. In addition, the polylactic acid (PLA)-based package box installing NH3 indicator was developed for the fermented skate and the color change of the indicator was evaluated at different storage temperatures over time. In conclusion, the gas indicators incorporated into the package was able to simply inform food quality over time.
삼채의 잎과 뿌리로부터 휘발성 화합물과 아미노산을 분석하였다. 휘발성 향기성분은 Headspace GC-MS방법으로 분석하였다. 잎 조직으로부터 18종의 휘발성화합물이 검출되었고, 21종의 화합물은 뿌리조직으로부터 분석되었다. 주요 향기성분은 diallyl disulphide였고, 잎(27.9%)과 뿌리(17.41)에서 가장 많이 함유하고 있었다. 또 다른 주요 황화합물은 methyl 2-propenyl disulfide, dimethyl disulfide, methyl 1-propenyl disulfide과 methyl 2-propenyl trisulfide이 잎과 뿌리에 모두 함유하고 있었다. 전체 46종 화합물 중 가장 많이 함유하고 있는 물질군은 황화합물이었다. 황화합물은 엽조직에 6종, 뿌리조직에는 5종이 함유되어 있었다. 또한 유리아미노산과 polyphenol성 화합물은 잎과 뿌리 조직에서 분석하였다. 잎과 뿌리 조직에서 아미노산은 20종과 19종이 각각 검출되었다. 총아미노산의 함량은 잎에서 0.134 mg/g, 뿌리조직에서 0.105 mg/g 함유하고 있었다. 총 polyphenol성 화합물 함량은 잎에서 0.28 mg/g, 뿌리에서 1.08 mg/g 함유하고 있었다. 이 결과는 삼채의 이용과 효율적인 재배에 기초자료를 제공할 수 있다.
HS-SPME법을 이용하여 한국 서남해 연안해역에서 Sea-nine 211, Irgarol 1051, Diuron과 같은 방오제의 분포 특성을 검토하였다. 반감기가 짧은 Sea-nine 211은 모든 시료채취지점 및 지역의 해수와 퇴적물에서 아주 낮은 농도 또는 검출한계 이하로 분포하였다. Irgarol 1051은 해수 및 퇴적물에서의 최고 농도가 각각 6.98μg/L, 28.50 ng/g-dry wt로 검출되었으며, 지역별 분포 특성은 나타나지 않았다. 반감기가 가장 길고 생물 농축성이 강한 Diuron은 모든 시료채취 지점에서 Sea-nine 211과 Irgarol 1051보다 높은 농도로 분포하였으며, Mo7(목포)의 퇴적물에서 최고농도(3882.22 ng/g-dry wt)로 분석되었다. Irgarol 1051과 Diuron은 조선산업단지 및 선박정박지가 위치하고 있는 지점에서 높은 농도로 분포하는 것으로 나타났다. 또한 퇴적물에서의 방오제 분포는 내만에서 외만으로 그 농도가 낮아졌다. 이러한 결과로부터 방오제는 내만에 위치하고 있는 항구나 조선산업단지로부터 오염될 가능성이 높을 것으로 판단된다.
In this study, simple preprocessing method for the analysis of headspace phase has been examined. The odor causing components were verified from the analysis of amine species emitted from squid waste. The concentrations of odor causing chemical components were confirmed in terms of four different sample treatments (treatment at 60℃, sonification, pressure treatment, addition of microorganism). HS-autosampler/GC/FID has been used for the analysis of chemical components and standard material addition method was utilized for quantification. The analysis results indicated that the major odor causing amine compounds emitted from squid waste were DMA and TMA. In addition, it was confirmed TMA showing higher malodor concentration predicted was relative malodor causing chemical component. Sonification and pressure treatment reduced the production of DMA and TMA by lowering the activity of microorganisms, while the addition of microbial accelerated the metabolism of microorganisms leading to the increased production of DMA and TMA.
In this study, the performance of fast gas chromatography system was evaluated using VOC standards prepared in both liquid and gaseous phase. When the liquid‐phase VOC standards were analyzed by both direct injection and HS‐SPME method, all the chromatographic separation was completed within 4 minutes. The calibration experiments were conducted further using gaseous standard of BTX. The calibration results derived by direct injection method generally showed good linearities, regardless of phases, while it was not the case for HS‐SPME method. In case of liquid‐phase standard, MDL values for direct injection and HSSPME method were calculated in the range of 0.07~0.19 to 0.63~3.76 ng, respectively. In contrast, MDL values for gaseous standard were 0.27~0.45 and 1.94~6.90, respectively. The reproducibility of our method, when expressed in terms RSE, showed above 5 %. When the sensitivity of different techniques is compared, the calibration slope values of BTX decreased on the order: direct injection of liquid‐phase standard > HSSPME method of liquid‐phase standard > direct injection of gaseous standard > HS‐SPME method of gaseous standard. Although fast GC is very efficient to reduce the total running time significantly, extended studies are desirable to improve its reproducibility.
Information about the chemical components emitted from the household products employed in many other countries seems to be still relatively scant and insufficient. The emissions composition for 59 consumer products were evaluated using a headspace analysis. The chemical composition and concentrations of total voalatile organic compounds (VOCs) broadly varied along with products. No volatile pollutants were detected for only one product in the household product category of laundry detergents. Except for this product, 1 to 17 organic compounds were detected in the headspace gas phase of each product. The category of oil paints exhibited an upper range for both the number of chemicals detected and the concentrations of total VOC. The chemical composition of certain household products determined in the current study was different from that for other studies from other countries. Four to 37 compounds were detected in the headspace gas phase of each product class. Several compounds were identified in more than one product class. Although several results indicated the dependence of the headspace temperature or period on the proportions of constituents in headspace gas phase, the effect of the headspace conditions on headspace concentrations varied along with the type of household product or analyte. It is suggested that a proper headspace conditions should be considered based on the volatility of components and matrix of each household product as well as the analytical sensitivity.
본 연구에서는 다양한 생리적 기능성 외에 우리 국민에게 친숙한 향기를 지닌 냉이를 대상으로 식용 부위에 따른 향기성분을 SDE 및 SPM 방법으로 동시 분석하여 우리나라 고유 방향성 식물자원의 보다 효과적인 활용을 위한 기초 자료를 제시하고자 하였다. SDE 방법으로 포집한 정유 성분과 SPME 방법으로 추출한 headspace 성분간에는 상당한 차이를 보였는데, 정유에는 headspace 성분보다 상대적으로 탄화수소의 함량이 적었고, 케톤류,