Odor characteristics

  • 文章类型: Journal Article
    通过检测鱼糜凝胶的气味特征以及蛋白质和脂质氧化程度,揭示了紫苏汁(PJ)和姜汁(GJ)对鱼糜凝胶中“温味”(WOF)减少的影响和原因,WOF化合物的浓度和气味活性值(OAVs)。鱼糜凝胶中加入PJ和GJ显著降低了WOF,改善了鱼香气味,但是抗坏血酸钠(SA)只会削弱WOF。(E,与对照检查(CK)和SA组相比,PJ和GJ组的E)-2,4-庚二烯醛OAV降低>50%。同时,添加PJ和GJ的鱼糜凝胶显示出较低的脂质和蛋白质氧化程度。验证测试表明,PJ和GJ的香气对WOF具有掩蔽作用。总之,PJ和GJ通过阻止WOF化合物的产生并以其独特的香气掩盖WOF,从而减少鱼糜凝胶中的WOF。
    The effects and reasons of perilla juice (PJ) and ginger juice (GJ) on the reduction of \"warmed-over flavor\" (WOF) in surimi gels were revealed by detecting odor profiles and protein and lipid oxidation degrees of surimi gels, concentrations and odor activity values (OAVs) of WOF compounds. Adding PJ and GJ to surimi gels significantly reduced the WOF and improved the fish fragrance odor, but sodium ascorbate (SA) only weakened the WOF. The (E,E)-2,4-heptadienal\'s OAVs in the PJ and GJ groups were decreased by >50% compared with the control check (CK) and SA groups. Meanwhile, surimi gels added with PJ and GJ presented lower lipid and protein oxidation degrees. The verification test indicated that PJ and GJ\'s aroma had a masking effect on the WOF. In conclusion, PJ and GJ reduced the WOF in surimi gels by preventing WOF compounds\' production and masking the WOF with their distinct aroma.
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  • 文章类型: Journal Article
    大红袍母树(山茶)的质量至今仍是个谜。在这项研究中,第一次,大红袍母树(MD)和大红袍插条(PD)之间的差异,在气味特征和味道特征方面进行了元组学分析。结果表明,MD具有更强的花卉,果味,绿色,和木本气味特征比PD,贡献主要来自二氢月桂烯醇,水杨酸甲酯,2-异丁基吡嗪,1,6-二氢卡维醇,γ-松油醇,和醋酸亚麻酸酯。Further,MD的新鲜和活泼的味道和醇厚的味道特征明显高于PD,贡献主要来自氨基酸及其衍生物和有机酸。其次,PD的苦味特征明显高于MD,酚酸的贡献,黄酮,和黄酮醇。本研究初步揭开了大红袍母树优良品质的传说,也为茶树插条的选育提供了重要参考。
    The quality of the Dahongpao mother tree (Camellia sinensis) remains a mystery to this day. In this study, for the first time, the differences between the Dahongpao mother tree (MD) and Dahongpao cuttings (PD), in terms of odor characteristics and taste characteristics were analyzed by metabomics. The results showed that MD had stronger floral, fruity, green, and woody odor characteristics than PD, and that the contributions were mainly from dihydromyrcenol, methyl salicylate, 2-isobutylpyrazine, 1,6-dihydrocarveol, gamma-terpineol, and linalyl acetate. Further, fresh and brisk taste and mellowness taste characteristics of MD were significantly higher than PD, with contributions mainly from amino acids and derivatives and organic acids. Secondly, bitterness taste characteristics of PD were significantly higher than MD, with contributions from phenolic acids, flavones, and flavonols. This study preliminarily unraveled the legend of the superior quality of the Dahongpao mother tree, and also provided an important reference for the breeding of tea-tree cuttings.
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  • 文章类型: Journal Article
    航空诱变是一种快速高效的育种方法。在这项研究中,首次分析了航空诱变对大红袍鲜叶和毛茶中挥发性物质和气味特征的影响。结果表明,航空诱变显著增加了大红袍鲜叶和毛茶的总挥发性化合物。航空诱变最显著地增加了大红袍鲜叶中β-月桂烯的含量,促使其转化为β-pine烯,cubebol,β-phellandrene,ingiberene,(Z,Z)-3,6-壬烯醛,和加工后的6-戊聚糖-2-酮,这反过来又增强了果味,绿色,辛辣的,毛茶的木本气味特征。本研究为进一步探索茶树航空诱变育种提供了参考。
    Aviation mutagenesis is a fast and efficient breeding method. In this study, we analyzed the effect of aviation mutagenesis on volatile compounds and odor characteristics in Dahongpao fresh leaves and gross tea for the first time. The results showed that aviation mutagenesis significantly increased the total volatile compounds of Dahongpao fresh leaves and gross tea. Aviation mutagenesis most critically significantly increased the content of beta-myrcene in Dahongpao fresh leaves, prompting its conversion to beta-pinene, cubebol, beta-phellandrene, zingiberene, (Z,Z)-3,6-nonadienal, and 6-pentyloxan-2-one after processing, which in turn enhanced the fruity, green, spicy, and woody odor characteristics of the gross tea. This study provided a reference for further exploration of aviation mutagenic breeding of Camellia sinensis.
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  • 文章类型: Journal Article
    本研究成功地建立了一个科学和精确的方法来区分中国四个主要生产地区的年轻柑橘类水果(青皮)的地理起源,利用气相色谱-质谱(GC-MS)和快速气相色谱电子鼻(FlashGC电子鼻)对其挥发性成分和气味特征进行分析。通过化学计量学分析的应用,使用GC-MS建立了清皮样品之间的明显差异。此外,FlashGC电子鼻的应用促进了风味信息的提取,从而实现了对地理起源的歧视。几种风味成分被确定为原产地认证的重要因素。此外,采用两种模式识别算法实现区域识别的高精度。这项研究的结果表明,多元化学计量学和算法的融合可以熟练地辨别那些年轻柑橘类水果的来源。本研究结果可为今后食品和其他农产品质量控制的评估提供参考。
    The present study has successfully established a scientific and precise approach for distinguishing the geographical origins of young citrus fruits (Qingpi) from four primary production regions in China, using gas chromatography-mass spectrometry (GC-MS) and flash gas chromatography electronic nose (flash GC e-nose) to analyze the volatile composition and odor characteristics. Through the application of chemometric analysis, a clear differentiation among Qingpi samples was established using GC-MS. Additionally, the application of flash GC e-nose facilitated the extraction of flavor information, which enabled the discrimination of geographical origins. Several flavor components were identified as significant factors for origin certification. Furthermore, two pattern recognition algorithms were employed to achieve high accuracy in regional identification. The results of this investigation demonstrate that the amalgamation of multivariate chemometrics and algorithms can proficiently discern the sources of those young citrus fruits. The findings of this research can provide a reference for the assessment of quality control in food and other agricultural commodities in the times ahead.
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  • 文章类型: Journal Article
    如果不切开肉豆蔻并仔细检查,内部发霉的肉豆蔻很难感知,这对公众健康构成了重大风险。目前,宏观鉴定和色谱分析用于确定肉豆蔻是否发霉。然而,前者依靠人类小组,具有主观性和经验依赖性的缺点,而后者通常是耗时的并且需要有机溶剂。因此,迫切需要开发一种快速可行的方法来评价肉豆蔻的质量和预测霉变。在这项研究中,利用电子鼻反应结合化学谱分析分析了五组不同发霉程度的肉豆蔻样品的质量和气味特征。主要理化指标,例如α-pine烯的水平,β-pine烯,elemicin,和脱水-二异丁香酚,决心。结果表明,α-pine烯的含量,β-pine烯,随着储存时间的延长,埃利米星的变化明显。通过使用电子鼻和HS-GC-MS技术来评估肉豆蔻样品的整体气味特征,发现挥发性有机化合物(VOC)的产生,如氨/有机胺,一氧化碳,乙醇,还有硫化氢,以及肉豆蔻本身的萜烯和苯基丙烯成分的变化,可能是气味变化的物质基础。根据电子鼻数据结合不同的机器学习算法,建立的肉豆蔻霉变程度定性分类模型的准确率高于90%。建立了预测化学成分含量的定量模型,和基于BP神经网络(BPNN)的模型,支持向量机(SVM),随机森林算法(RF)在预测这些化学成分的浓度方面均表现出良好的性能,除了脱水-二异丁香酚。BPNN根据电子鼻的反应有效地预测了肉豆蔻的储存时间,训练集的RMSE和R2为0.268和0.996,测试集的0.317和0.993,分别。结果表明,电子鼻(E-nose)的反应与肉豆蔻的内部质量具有高度相关性。这项工作提出了一种快速,无损的肉豆蔻质量评估方法,对肉豆蔻中不同发霉程度的判别具有较高的准确性,有利于早期发现和预警发霉现象。
    Internal mildewed nutmeg is difficult to perceive without cutting the nutmeg open and examining it carefully, which poses a significant risk to public health. At present, macroscopic identification and chromatographic analysis are applied to determine whether nutmeg is moldy or not. However, the former relies on a human panel, with the disadvantages of subjectivity and empirical dependence, whilst the latter is generally time-consuming and requires organic solvents. Therefore, it is urgent to develop a rapid and feasible approach for evaluating the quality and predicting mildew in nutmeg. In this study, the quality and odor characteristics of five groups of nutmeg samples with different degrees of mildew were analyzed by using the responses of an electronic nose combined with chemical profiling. The main physicochemical indicators, such as the levels of α-pinene, β-pinene, elemicin, and dehydro-di-isoeugenol, were determined. The results revealed that the contents of α-pinene, β-pinene, and elemicin changed significantly with the extension of storage time. Through the use of an electronic nose and HS-GC-MS technology to assess the overall odor characteristics of nutmeg samples, it was found that the production of volatile organic compounds (VOCs) such as ammonia/organic amines, carbon monoxide, ethanol, and hydrogen sulfide, as well as changes in the terpene and phenylpropene components of the nutmeg itself, may be the material basis for the changes in odor. The accuracy of the qualitative classification model for the degree of mildew in nutmeg was higher than 90% according to the electronic nose data combined with different machine learning algorithms. Quantitative models were established for predicting the contents of the chemical components, and models based on a BP neural network (BPNN), the support vector machine (SVM), and the random forest algorithm (RF) all showed good performance in predicting the concentrations of these chemical components, except for dehydro-di-isoeugenol. The BPNN performed effectively in predicting the storage time of nutmeg on the basis of the E-nose\'s responses, with an RMSE and R2 of 0.268 and 0.996 for the training set, and 0.317 and 0.993 for the testing set, respectively. The results demonstrated that the responses of the electronic nose (E-nose) had a high correlation with the internal quality of nutmeg. This work proposes a quick and non-destructive evaluation method for the quality of nutmeg, which has high accuracy in discriminating between different degrees of mold in nutmeg and is conducive to early detection and warning of moldy phenomena.
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  • 文章类型: Journal Article
    气味烦恼是一种环境空气污染。与其他室内环境相比,汽车内饰材料没有得到很好的研究。尤其是,对铁路车辆气味特征的研究很少。本研究应用OAV方法识别铁路车辆材料的关键气味,并通过WeberFechner定律和对偶变量方法讨论了这些气味的特征。结果表明,对于单一气味剂,WeberFechner定律可用于估计不同浓度水平下气味气体样品的感知强度。斜率较小的气味剂对人有明显的耐受性。对于气味剂的混合物,混合物的整体强度通常由混合物中单个物质的最强气味强度决定,在强度差异不大的混合物中可以观察到正的相互作用效应。但是有一种气味,如甲基丙烯酸酯,其中混合物浓度的非常小的变化可以在很大程度上影响其气味强度。同时,气味强度修正系数是识别和评价气味相互作用效应的有效方法。所研究的气味剂从强到弱的相互作用势是甲基丙烯酸酯,二丁基胺,非肛门,2-乙基己醇。在改善铁道车辆产品的气味时,应特别注意气味的相互作用潜力和气味性质。
    Odor annoyance was a kind of environmental air pollution. Compared to other indoor environments, vehicle interior materials were not well studied. Especially, there had been little research on odor character of the railway vehicles. This study applied the OAV method to identify the key odorants of railway vehicle materials and discussed the characteristics of these odorants through Weber Fechner law and a dual variable method. The result showed that for single odorant, Weber Fechner law can be used to estimate the perceived intensity of an odor gas sample at different concentration levels. The odorant with smaller slope had significant tolerance to human. For the mixtures of odorants, the overall intensity of the mixture is generally dominated by the strongest odor intensity of the individual substance in the mixture, and positive interaction effect can be observed in mixtures whose intensities had little difference. But there was a kind of odorants, such as methacrylate, in which a very small variation in the concentration of mixtures can affect its odor intensity largely. Meanwhile, the odor intensity modification coefficient was an effective way to identify and evaluate odor interaction effect. The interaction potential of the studied odorants from strong to weak was methacrylate, dibutyl-amine, nonanal, 2-ethyl hexanol. The odor interaction potential and odor nature should be paying much attention in the improvement of odor in railway vehicle product.
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  • 文章类型: Journal Article
    发酵对武夷岩茶特殊风味的形成极为重要。本研究利用GC-MS技术测定了武夷岩茶传统深层发酵工艺中挥发性代谢物的含量,并进一步分析了其气味特征。结果表明,17个特征化合物在前期加工过程中发生了显著变化,即新鲜的叶子,枯萎和发酵。花香形成的关键在于二氢月桂烯醇,和来自六种萜类化合物的木本香气,它们的合成取决于二氢月桂烯醇的含量。果香以六种酯类为主,果香主要来自(Z)-3-己烯-1-基丁酸酯,(E)-3-己烯-1-基丁酸酯和5-己烯基丁酸酯。该研究为改善武夷岩茶的前期加工提供了重要的理论和实践依据。
    Fermentation is extremely important for the formation of the special flavor of Wuyi rock tea. This study determined volatile metabolite contents using GC-MS technique and futher analyzed their odor characteristics during the traditional deep fermentation technology of Wuyi rock tea. The results showed that 17 characteristic compounds significantly changed during the first stage of the preliminary processing, namely fresh leaves, withering and fermentation. The key to the formation of floral aroma lied in dihydromyrcenol, and the woody aroma derived from six terpenoids, and their synthesis depended on dihydromyrcenol content. The fruity aroma was dominated by six esters, and the fruity aroma mainly came from (Z) -3-hexen-1-yl butyrate, (E) -3-hexen-1-yl butyrate and 5-Hexenyl butyrate. This study provided an important theoretical and practical basis for improving the preliminary processing of Wuyi rock tea.
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  • 文章类型: Journal Article
    二(2-氯-1-甲基乙基)醚(DCIP),美国环境保护署的一个优先污染物,可能会对水环境造成健康和/或气味风险。在这项研究中,气味特征,基于感官分析和覆盖140家饮用水处理厂的全国调查,调查了中国饮用水中DCIP的发生和来源。然后,首先评估了通过饮用水口服和吸入(淋浴)暴露的多风险综合健康和美学方面。感官评估显示,DCIP表现出“溶剂样”气味,在空气中为34.8ng/L,在水中为142.0ng/L。在原水和成品水中检测到相当浓度的DCIP(<1280ng/L),并且是来自表氯醇/环氧丙烷的工业生产的副产物。通过口服暴露的寿命平均每日剂量为0-36.65ng/天/kg,对应于0-8.4的气味活性值和远<1的危险商,表明饮用自来水可能会引起气味问题,而不是重大的健康危害。对DCIP气味敏感的人群比例为6.1%。相比之下,居民很少通过吸入检测DCIP的气味。作为工业副产品存在于饮用水中,使用常规水处理去除效果不佳,有可能成为T&O问题,表明迫切需要进行污染源控制,以保护DCIP不进入水源水域。
    Bis (2-chloro-1-methylethyl) ether (DCIP), one U.S. Environmental Protection Agency priority pollutant, could pose health and/or odor risk in water environment. In this study, odor characteristics, occurrence and source of DCIP in drinking waters of China were investigated based on sensory analysis and a nation-wide investigation covering 140 drinking water treatment plants. Then multi-risk integrated health and aesthetic aspects through oral and inhalation (showering) exposure by drinking water were first estimated. Sensory evaluation showed DCIP exhibited \"solvent-like\" odor with thresholds of 34.8 ng/L in air and 142.0 ng/L in water. DCIP was detected at comparable concentrations in raw and finished waters (<1280 ng/L) and was by-product from industrial production of epichlorohydrin/propylene oxide. Lifetime Average Daily Dose through oral exposure was 0-36.65 ng/day/kg, corresponding to odor activity values of 0-8.4 and hazard quotients of far < 1, indicating drinking tap water might cause odor issues rather than significant health hazard. The proportion of sensitive population to DCIP\'s odor was 6.1%. In contrast, residents rarely detect DCIP\'s odor by inhalation. The presence in drinking water as industrial by-product, poor removal using conventional water treatment and potential to be T&O issues, indicates urgent demand for pollutant source control to protect DCIP from entering source waters.
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  • 文章类型: Journal Article
    Benshan tea is a kind of oolong tea, and Benshan (Camellia sinensis) tea tree originates from Anxi County of Fujian Province in China, which is a national tea tree breed. Tea processing is the key to the formation of its odor characteristics. It is extremely important to step by step analyze effects of tea processing on aroma intensity and the formation of odor characteristics for optimizing tea processing process and improving tea quality. The results of this study showed that processing resulted in a significant increase in the content of volatile compounds in tea leaves, i.e., from 25.213 μg/kg to 111.223 μg/kg, in which the volatile compounds were mainly terpenoids. Secondly, the analysis found that 20 kinds of key compounds constituted to odor characteristics of Benshan tea leaves, among which geraniol, trans-β-ionone, gerol, citronellol, benzeneacetaldehyde, and trans-nerolidol were the most key six. Floral and fruity aromas, especially floral aroma, mainly formed odor characteristics of Benshan tea after processing, while floral aroma mainly came from the contribution of geraniol, which was the foremost compound in the formation of floral aroma of Benshan tea.
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  • 文章类型: Journal Article
    加工对茶叶香气特征的形成极为重要。在这项研究中,加工对挥发性化合物含量的影响,分析了水仙茶的香气强度和气味特征。结果表明,水仙茶加工后挥发性物质含量显著增加,其中萜类和酯类含量最高。构成水仙茶香气特征的关键化合物有18种,其中香叶醇和神经醇是最重要的化合物,对水仙茶香气的贡献为96.28%。水仙茶的气味特征主要是花香和果香,花香的贡献主要来自香叶醇,而果味主要来自nerol。香叶醇和橙醇化合物在茶叶枯萎过程后迅速增加。该研究为水仙茶加工工艺的改进和品质提升提供了重要参考。
    Processing is extremely important for the formation of aroma characteristic of tea leaves. In this study, the effects of processing on the content of volatile compounds, aroma intensity and odor characteristic of Shuixian tea were analyzed. The results showed that the content of volatile compounds in Shuixian tea increased significantly after processing, among which terpenoids and esters were the highest. There were 18 key compounds constituting the aroma characteristics of Shuixian tea, among which geraniol and nerol were the most important compounds, which contributed 96.28% to the aroma of Shuixian tea. The odor characteristics of Shuixian tea were mainly floral and fruity and the contribution of floral mainly came from geraniol, while fruity mainly came from nerol. Geraniol and nerol compounds increased rapidly after the withering process of tea leaves. This study provided an important reference for the improvement of processing technology and quality enhancement of Shuixian tea.
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