烟用香精香料的固相微萃取-气相色谱指纹图谱及系统聚类分析

建立了1115烟用香精香料的气相色谱指纹图谱。选择65μm的PDMS/DVB作为萃取头的涂层,萃取温度及萃取时间分别为70℃和45min。用TEKNOKROMA TBR-5石英毛细管柱分离,氢火焰离子化检测器检测。应用所提出的方法分析了9个不同批次的1115烟用香精香料样品,结合系统聚类分析法区分了不同批次的样品指纹图谱,并通过掺兑试验进一步验证了方法用于烟用香精质量控制的可行性。     

气相色谱-质谱联用法测定烟用香精成分——烟草用香精前处理方法比较

采用同时蒸馏萃取(SDE)、超声辅助液液萃取(ULLE)和固相微萃取(SPME)3种前处理方法提取HMT-3烟用香精成分,用气相色谱-质谱联用法(GC-MS)进行分析.对3种萃取方法鉴定出的组分作出比较,考察了方法的各自特点.选取了15种烟用香精为代表,分别采用3种萃取方法对不同类型的烟用香精进行提取.结果表明:ULLE操作简便、快速、节能、萃取效率高;SDE法和ULLE法的重现性明显好于SPME法,适合于香精的定量分析,而SPME有较高的灵敏度,更适合香精的定性分析.根据定性和定量的需要、方法的适用性和香精的物理状态,应选取不同的提取方法,从而能够快速、准确地获得样品信息.     

GC-MS及主成分分析法用于咖啡香精的指纹图谱分析和微差样品的识别

采用正己烷溶剂萃取法提取咖啡香精中的挥发性和半挥发性成分,并通过气相色谱-质谱法建立了咖啡香精的色谱指纹图谱,共定性了22个组分,占总量的87％,采用共有峰率、组分含量的相对标准偏差及相似度等几个指标对6个不同批次的样品进行了评价,结果表明它们之间具有很大的一致性,通过相似度比较和主成分分析的投影显示法区分微差样品。该色谱指纹图谱可用作咖啡香精的质量控制。     

大兴安岭地区细叶杜香挥发性成分的研究

1　实验部分1.1　仪器与样品　　固相微萃取(SPME)手柄及100μm聚二甲基硅氧烷(PDMS)萃取头(美国Supelco),恒温磁力搅拌装置,GC 17A QP5050GC/MS仪(日本Shimadzu)。　　细叶杜香2002年8月采于内蒙古大兴安岭,在避光处将其自然晾干后,将其嫩枝和叶剪成细末,待用。1.2　杜香挥发性成分的提取　　水蒸气蒸馏:取细叶杜香样品100g,按常规方法进行水蒸气蒸馏,提取6h,水层用氯化钠饱和后,用乙醚萃取,回收乙醚,得棕黄色透明油状物0 6g,将其用乙醚稀释后用于气相色谱 质谱(GC/MS)分析。　　SPME:将SPME纤维在GC/MS仪进样口250℃下老化2…     

顶空-气相色谱-质谱指纹图谱应用于烟用香精中主成分测定北大核心CSCD

在平衡温度为80℃,平衡时间为30min下,采用顶空分离进样,气相色谱-质谱法对9个不同批次的烟用香精的成分进行分离和鉴定。根据方法的精密度试验结果,建立了烟用香精的指纹图谱。对上述9个样品所得18个共有峰以及所建立的标准指纹图谱的数据进行比较,并利用相关系数法、夹角余弦法和欧式距离比值法计算不同样品之间的相似度。3种方法计算出的相似度变化趋势一致,均能判断出样品是否合格。     

指纹图谱结合化学计量学方法研究新疆薰衣草精油成分

采用水蒸汽蒸馏法(SD)提取薰衣草挥发油,气相色谱-质谱联用(GC-MS)技术分析其化学成分及相对含量。通过气相色谱法(GC)建立其色谱指纹图谱,并结合化学计量学方法对其进行品种鉴别。3种薰衣草精油中共检测29种挥发性化学成分,其中共有成分有18种;31批薰衣草样本的GC指纹图谱相似度均大于0.9,符合指纹图谱相似度的要求,利用主成分分析法(PCA)和聚类分析法(HCA)对GC指纹图谱进行识别,可直观地区分薰衣草品种,该方法可应用于薰衣草质量控制及品种鉴别。     

色谱指纹图谱在香精香料质量控制中的应用

烟用香精香料化学成分复杂,现无合适的化学质量控制方法,通过实例,对10个批次正常生产的香料标样进行同时蒸馏萃取,取其萃取液进行气相色谱氢焰检测.进行同组分色谱峰的匹配,根据相对峰面积求出标准指纹图谱,然后10批标样各自与标准指纹图谱进行相似度计算,据此设立待测样品的合格性允差范围.待测样品与标准指纹图谱进行谱峰匹配,计算与标准指纹图谱的相似度,依据合格性允差范围,判定其质量状况.     

气相色谱-质谱法和主成分投影分析法用于烟用香精的分析和质量控制

采用同时蒸馏萃取法及气相色谱-质谱法对 AB6 香精中挥发性成分进行了提取分离与测定.定性了 15 种成分,占总成分的 80.5%(截除溶剂峰),其中 4 种主要组分在10个不同批次样品中含量的相对标准偏差分别为 3.9%,6.1%,5.7%和 2.2%,由此构成合格样品库,并采用主成分投影分析法有效地区分了掺有溶剂的 AB6 香精与 AB6 香精的合格样品,随着溶剂量的增加它们之间的距离越远,同时,不同品种的香精样品之间也具有显著的差异.气相色谱-质谱法分析和主成分投影分析法可用于香精的质量控制.     

烟用香精的GC-MS指纹图谱

在卷烟生产中,烟用香精对卷烟的风格起着决定作用,所以稳定的烟用香精质量对卷烟内在品质的控制非常重要。目前,烟用香精的质量控制以物理指标方法为主,对质量的变化反映不显著,给质量控制带来困难。作者采用气相色谱一质谱(GC-MS)测定烟用香精的成分,建立其GC-MS指纹图,既有定量信息又有定性信息,为控制烟用香精的质量提供科学依据。     

基于挥发性组分的气相色谱指纹图谱评价沉香化气片质量

建立了沉香化气片的气相色谱指纹图谱,并结合化学模式识别评价20批沉香化气片的质量。乙醇超声提取20批沉香化气片的挥发性成分,以正十八烷为内标,分析了3个主要组分的含量,且以内标计算其他各组分的相对峰面积,建立了沉香化气片的气相色谱指纹图谱,确定了11个共有峰,得到了各批次样品的相似度,并通过气相色谱-质谱法和对照品比对对10个共有峰进行了指认。将获得的峰面积指纹图谱采用系统聚类分析和主成分分析进行化学模式识别研究,实现了不同批次沉香化气片的区分,发现了造成不同批次样品差异的主要标记物。该方法有效且综合性强,为科学评价与有效控制沉香化气片的质量提供了可靠的参考。     

Development of a Chromatographic Fingerprint of Tobacco Flavor by Use of GC and GC-MS

A new chromatographic fingerprinting method has been established for quality control of tobacco flavor. Three different extraction techniques, simultaneous distillation extraction (SDE), liquid–liquid extraction, and solid-phase microextraction were evaluated for isolation of the components of interest. After comparison of their performance, a combination of SDE and GC-MS was used for simple, reliable, and reproducible development of a chromatographic fingerprint of tobacco flavor. Twelve samples of the flavor from different batches were used to establish the fingerprint. Thirty-nine volatile components of the tobacco flavor samples, accounting for 86.54% of the total content, were identified and quantified. The 12 samples had 28 peaks in common. The method of fingerprint analysis was then validated on the basis of the relative retention times and relative peak areas of the common peaks, sample stability, and similarity analysis. The similarities of the 12 samples of tobacco flavor were >0.80, showing that samples from different batches were, to some extent, consistent. The chromatographic fingerprint developed was successfully used to differentiate tobacco flavor samples from tobacco extract prepared from tobacco leaf, both by similarity comparison and by principal-components projection analysis. The method can be used for quality control of tobacco flavor.     

超声辅助液液萃取-气相色谱-质谱指纹图谱应用于烟用香精香料的检测

采用超声辅助液液萃取-气相色谱-质谱法,建立了烟用香精香料的指纹图谱。以二氯甲烷-乙醇(9+1)混合溶液为萃取溶剂,饱和氯化钠溶液为水相,超声萃取10min,对1187号烟用香精香料样品进样检测。共检出了25个组分,对其中的23个组分进行了定性。11个批次的样品色谱图显示了较高的相似性,并运用主成分分析法(PCA)区分了添加其它香精香料的掺兑样品。方法可以用于考察烟用香精香料的质量。     

Fingerprint developing of coffee flavor by gas chromatography-mass spectrometry and combined chemometrics methods

In this paper, chromatographic fingerprint was firstly used for quality control of tobacco flavors. Based on gas chromatography-mass spectrometry (GC-MS) and combined chemometrics methods, a simple, reliable and reproducible method for developing chromatographic fingerprint of coffee flavor, one of tobacco flavors, was described. Six coffee flavor samples obtained from different locations were used to establish the fingerprint. The qualitative and quantitative analysis of coffee flavor sample from Shenzhen was completed with the help of subwindow factor analysis (SFA). Fifty-two components of 68 separated constituents in coffee flavor sample from Shenzhen, accounting for 88.42% of the total content, were identified and quantified. Then, spectral correlative chromatography (SCC) was used to extract the common peaks from other five studied coffee flavor samples. Thirty-eight components were found to exist in all six samples. Finally, the method validation of fingerprint analysis was performed based on the relative retention time and the relative peak area of common peaks, sample stability and similarity analysis. The similarities of six coffee flavor samples were more than 0.9104 and showed that samples from different locations were consistent to some extent. The developed chromatographic fingerprint was successfully used to differentiate coffee flavor from coco flavor and some little difference sample prepared with coffee flavor and coco flavor by both similarity comparison and principal component projection analysis. The developed method can be used for quality control of coffee flavor.     

基于三波长融合谱的系统指纹定量法鉴定龙胆泻肝丸的真实质量

建立了龙胆泻肝丸(Longdanxiegan pill,LDXGP)三波长融合高效液相色谱(HPLC)指纹图谱,以系统指纹定量法全面鉴定LDXGP的质量。采用反相高效液相色谱法(RP-HPLC),运用多波长融合指纹图谱技术对色谱图进行处理,以黄芩苷为参照物峰,确立了63个共有指纹峰,以宏定性相似度为参量对12个厂家的12批LDXGP进行聚类分析,确定用其中10批生成对照指纹图谱(RFP),以此RFP为标准用系统指纹定量法评价12批LDXGP的质量。结果鉴别出9批质量完全合格,1批含量明显偏高,2批化学成分数量和分布比例不合格。基于多波长融合技术的系统指纹定量法是评价中药真实质量的可靠方法。     

Quality Assessment of Veratrum nigrum L. by LC-ELSD Fingerprints and LC Quantitative Analysis

A simple, rapid and valid fingerprint method has been first carried out for the quality control of Veratrum nigrum L. (Chinese name: Lilu), by using liquid chromatography (LC) with evaporative light scattering detection (ELSD). A standard fingerprint was constructed from ten batches of Lilu from different geographic locations to evaluate batch-to-batch consistency. Twelve chromatographic peaks were selected as characteristic peaks and their relative peak areas were calculated for quantitative expression of the LC fingerprints. Furthermore, the amounts of three main components (veratrosine, jervine, and veratramine) were determined simultaneously to evaluate and control quality of Lilu.     

烟用香精的分析及质控软件的设计

利用气相色谱及气相色谱一质谱法对17种品牌卷烟的62种香精进行了分析,研究了香精特征组分的确定方法。另外,还进一步探讨了香精组分对吸味的影响,建立了香精质量控制方法,设计了烟用香精的质控软件对香精质量进行自动判断,实验结果令人满意。