Characterization of volatile compounds from Daqu-a traditional
白番茄功效研究报告

白番茄功效研究报告白番茄(Scientific name: Solanum lycopersicum var. Blanc)是番茄科植物的一种新品种,其果实呈乳白色,与普通番茄的红色果实形成鲜明对比。
近年来,白番茄在食品和医学领域受到了广泛的关注。
本报告旨在对白番茄的功效进行研究,探讨其可能具有的药用价值。
首先,白番茄具有抗氧化作用。
抗氧化剂可以抑制自由基的生成,从而减少细胞损伤。
研究表明,白番茄中含有丰富的多酚类化合物和维生素C,这些物质都具有较强的抗氧化能力,能够清除体内的自由基,预防慢性疾病的发生。
其次,白番茄对心血管健康有益。
研究发现,白番茄中含有一种特殊的胺类物质——番茄胺(Tomatine),具有降低胆固醇和血压的作用,有助于预防心血管疾病的发生。
此外,白番茄中还富含维生素C和钾等营养物质,能够促进心脏健康。
第三,白番茄可能具有抗炎作用。
炎症是许多疾病的共同特征,而白番茄中的维生素C和类黄酮等成分被认为能够抑制炎症反应,并缓解相关疾病的症状。
此外,白番茄中还富含纤维素,有助于促进肠道健康,减轻慢性炎症。
另外,白番茄还可能对皮肤健康有益。
白番茄中的抗氧化物质可以清除体内的自由基,减少氧化应激对皮肤的损伤。
此外,白番茄中的多酚类物质还具有美白和抗衰老的功效,能够减少皮肤色素沉着和皱纹的形成,使皮肤更加光滑细致。
综上所述,白番茄具有抗氧化、心血管健康、抗炎和皮肤保健等多种功效。
然而,需要指出的是,目前对白番茄的研究还相对较少,相关证据尚不充分,需要进一步的研究来证实其功效。
因此,在使用白番茄作为药用或保健品之前,还需要进行更多的临床实验和科学研究,以确保其安全性和有效性。
参考文献:1. Ercisli, S., et al. (2011). Phytochemical content of some white ( Solanum lycopersicum L.) and yellow (Solanum pimpinellifolium L.) tomato varieties. Food Chemistry, 126(2),706-711.2. Kim, M. K., et al. (2013). Tomatine and rutin suppress oxidative stress‐induced inflammation and MUC5AC expression in human airway epithelial cells. International Forum of Allergy & Rhinology, 3(12), 962-968.3. Bozin, B., et al. (2014). Characterization of volatile compounds and antioxidant and antimicrobial activities of white (Lycopersicon esculentum Mill.), purple and orange cherry tomatoes (Lycopersicon esculentum Mill., f. cerasiforme). Journal of the Science of Food and Agriculture, 94(12), 2628-2636.。
挥发性有机废气评价综合控制指标探讨

2021年第5期2021年5月在环评工作中,除部分单项挥发性有机物有环境质量标准和污染物排放标准可直接进行环境影响评价外,多数挥发性有机物只能纳入综合控制指标进行评价。
目前,挥发性有机废气综合控制指标主要用NMHC ,VOCS 和TVOC 来进行表征,评价指标的选择直接影响环评工作等级、评价范围确定等,因此对于具体项目而言,表征指标的确定至关重要。
1挥发性有机废气大气有机污染物种类和组成繁杂,大部分项目同时具有多种挥发性有机污染物[1],因此,挥发性有机废气通常为多因子混合废气,一般用VOCs ,TVOC 和NMHC 3种指标来表征,但各指标涵盖的挥发性有机化合物成分不同,具体如下。
1.1VOCs TVOC 和NMHC 定义1.1.1VOCs 定义VOCs 是挥发性有机物的简称,目前没有统一的定义。
查阅有关资料,主要说法有2种:a)参与大气光化学反应的有机化合物,或者根据有关规定确定的有机化合物;b)20℃时蒸汽压不小于10Pa 或者101.325kPa 标准大气压下,沸点不高于260℃的有机化合物或者实际生产条件下具有以上相应挥发性的有机化合物(CH 4除外)的统称。
1.1.2TVOC 定义TVOC 是总挥发性有机化合物的简称,在标准GB/T 18883—2002《室内空气质量标准》中主要指,“利用Tenax GC 或Tenax TA 采样,非极性色谱柱(极性指数小于10)进行分析,保留时间在正己烷与正十六烷之间的挥发性有机化合物。
”[2]1.1.3NMHC 定义NMHC 是非甲烷总烃的简称,根据《大气污染物综合排放标准详解》,非甲烷总烃是指,除CH 4以外所有碳氢化合物的总称,主要包括烷烃、烯烃、芳香烃和含氧烃等组分,通常作为大气污染物的非甲烷总烃指C2~C12的烃类物质[3]。
HJ/T 38—1999《固定污染源排气中非甲烷总烃的测定气相色谱法》中对非甲烷总烃的定义为,“除CH 4以外的碳氢化合物(其中主要是C2~C8)的总称”[4]。
混合菌种发酵红豆腐特征香气成分的鉴定

混合菌种发酵红豆腐特征香气成分的鉴定崔晓红;高柳;邓小飞;赵金梅;马力;刘平【摘要】为了研究雅致放射毛霉和少根根霉混合发酵红豆腐的特征香气成分,采用顶空固相微萃取的方法对混菌发酵红豆腐的挥发性成分进行提取,通过气相色谱-嗅闻法(gas chromatography-olfactometry,GC-O)结合气相色谱-质谱(gas chromatography-mass spectrometry,GC-MS)进行香气成分分析,主要采用检测频率法及香气活性值(odor activity value,OAV)法,确定红豆腐中的特征性香气成分.分析结果表明,红豆腐的特征香气成分有丁酸乙酯、3-甲硫基丙醛、异戊酸、苯甲醛、苯酚、己酸乙酯、辛酸乙酯、芳樟醇、苯乙醇、吲哚,这些化合物对红豆腐的香气具有重大贡献.%The red bean corruption is a kind of sufu with long production history and strong local characteristics.The characteristic aroma compounds in red bean corruption fermented by Actinomucor elegans and Rhizopus arrizus were analyzed by head space solid-phase microextraction (HS-SPME) combined with gas chromatography-mass spectrometry (GCoMS) and gas chromatography-olfactometry (GC-O).Odorants of fermented bean curd were investigated by detection frequency method and odor active values method.It showed that characteristic aroma compounds were composed by a variety of compounds including ethyl butyrate,3-(methylthio) propionaldehyde,isovaleric acid,benzaldehyde,ohenol,ethyl caproate,ethyl caprylate,3,7-dimethylocta-1,6-dien-3-ol,phenethyl alcohol,and indole.【期刊名称】《食品与发酵工业》【年(卷),期】2017(043)002【总页数】6页(P185-190)【关键词】红豆腐;特征香气;气相色谱-闻香法;检测频率法;香气活性值【作者】崔晓红;高柳;邓小飞;赵金梅;马力;刘平【作者单位】西华大学食品与生物工程学院,四川成都,610039;西华大学食品与生物工程学院,四川成都,610039;西华大学食品与生物工程学院,四川成都,610039;西华大学食品与生物工程学院,四川成都,610039;西华大学食品与生物工程学院,四川成都,610039;西华大学食品与生物工程学院,四川成都,610039【正文语种】中文腐乳,作为一种传统的大豆发酵食品,在中国已经有1 000多年的历史。
两个杏品种果实香气成分的气相色谱—质谱分析

园 艺 学 报 2004,31(5):663~665Acta Horticulturae Sinica两个杏品种果实香气成分的气相色谱—质谱分析陈美霞 陈学森3 冯宝春(山东农业大学果树生物学实验室,泰安271018)摘 要:对两个杏品种‘新世纪’、‘红丰’成熟期果实采用蒸汽蒸馏—萃取法提取香气成分,进行气相色谱—质谱分析鉴定。
新世纪检测出74种成分,占总峰面积的731604%;红丰检测出72种成分,占总峰面积的441677%。
主要成分为醇类、醛类、内酯类、酮类化合物。
相同成分有紫罗酮、己醛、己醇、己烯醛、己烯醇、内酯类、萜烯醇类等,这些成分共同构成杏果实的香味,但其含量在两个品种间存在差异。
关键词:杏;果实;香气成分;气相色谱—质谱法中图分类号:S66212 文献标识码:A 文章编号:05132353X(2004)0520663203G C2MS Analysis of Fruit Aroma Components of Two Apricot CultivarsChen Meixia,Chen Xuesen3,and Feng Baochun(Pomology Biological L aboratory,S handong A gricultural U niversity,Taiπan271018,China)Abstract:This current study focuses on the aroma components which present in two different apricot cultivars fruit at the commercial ripe stage.The fruit was sampled by steam distillation2extraction.The con2 centrated extracts were analyzed by capillary gas chromatography2mass spectrometry.A total of74compounds were identified in Xinshiji,representing731604%of the total peak area and72compounds in Hongfeng, representing441677%.Alcohols,aldehydes,lactones,ketones were the major constituents in the two extracts.The common constituents included ionone,hexanal,hexanol,hexenal,hexenol,lactones,terpenic alcohols,etc,which are major contributors to apricot aroma,but their contents are different in two cultivars.K ey w ords:Apricot;Fruit;Aroma component;G as chromatography2mass spectrometry(GC2MS)1 目的、材料与方法20世纪60年代以来,随着气相色谱技术的发展,国内外在果树不同树种香气物质测定方面取得了很大进展〔1~5〕。
210606296_花椒抑制神经性疼痛的作用机制探讨

DOI:10.19694/ki.issn2095-2457.2022.25.05花椒抑制神经性疼痛的作用机制探讨赵忠叶河杨申小年(安徽中医药高等专科学校,安徽芜湖241000)【摘要】目的:本研究采用网络药理学的方法,探讨了花椒对神经性疼痛作用的可能机制。
方法:通过中药系统药理学平台TCMSP筛选花椒的主要化学成分,利用GeneCard、OMIM、PharmGkb、TTD和DrugBank数据库建立与神经性病理性疼痛靶点数据库。
利用Cytoscape3.8.0软件构建“药物—化合物—靶点基因”网络。
采用R软件和生物导体进行GO 功能富集分析和KEGG通路富集分析。
结果:“药物—化合物—靶点—疾病”网络包含了101种活性成分和112个交叉靶点,主要靶点包括:SRC、HSP90AA1、JUN、MAPK3、RELA、AKT1和ESR1。
通过GO功能富集分析,共获得了30个项目(P<0.05)。
KEGG通路富集分析筛选了5条信号通路(P<0.05)。
结论:花椒的活性成分可通过作用于主要靶点来调节炎症因子、调节神经通路交互和影响血管直径等对神经性疼痛发挥治疗作用。
【关键词】花椒;网络药理学;神经病理性疼痛;GO;KEGG0引言神经性病理性疼痛(Neuropathic Pain,NP)是一种常见的由体感神经系统损伤或疾病引起的慢性顽固性疼痛,导致患者出现睡眠障碍甚至抑郁,严重影响患者的生活质量[1]。
最近基于聚类分析研究表明,大多数神经性疼痛患者可分为三种感觉表型之一:感觉丧失、机械痛觉过敏和热痛觉过敏[2]。
伤害性疼痛涉及在不损害神经系统的情况下激活伤害感受器,而神经性疼痛与中枢或外周神经系统的改变有关。
慢性疼痛本身以及从急性疼痛到慢性疼痛的转变可能是由表观遗传控制的[3]。
感觉表型与神经性疼痛状况对幸福感、日常功能和生活质量的影响有关,但与疼痛强度的相关性较小。
NP即直接由影响体感系统的病变或疾病引起的疼痛,是一种常见的临床问题,通常表现为持续疼痛(灼烧、挤压)或阵发性疼痛(电击样感觉、刺痛)、诱发(触诱发、压力诱发、冷诱发)或麻木和感觉异常[4]。
杀菌工艺对先市酱油品质形成研究

杀菌工艺对先市酱油品质形成研究邓岳;杨阳;夏白雪;梁鹏宽;郭玮瞳;孙群【摘要】该文对“非物质文化遗产”先市酱油加工技艺中的杀菌工艺对产品品质的影响进行研究,运用HS-SPME-GC-MS对杀菌前后的挥发性物质进行检测分析,一共检测出83种挥发性香味物质,其中醇(11)、醛(8)、酮(10)、酸(13)、酯(18)、吡嗪(6)、酚(6)、呋喃(7)、含硫化合物(4)及其他类(2).酱油在加热后风味物质数量减少,但挥发性物质中醇,醛,酮,吡嗪,呋喃,含硫化合物含量显著上升,酸与其他类化合物含量显著下降,表明杀菌过程对先市酱油的整体香味物质结构影响较大,并且使得酱油的香味物质结构变得更加均匀.与此同时,加热杀菌对酱油中的氨基酸态氮、氯化钠含量、没有显著性影响,但使得酱油中总酸含量显著性降低、pH显著性升高,总氮含量显著性提高.【期刊名称】《中国测试》【年(卷),期】2016(042)006【总页数】6页(P54-59)【关键词】古法酿制;先市酱油;杀菌工艺;品质特性;风味物质【作者】邓岳;杨阳;夏白雪;梁鹏宽;郭玮瞳;孙群【作者单位】四川大学轻纺与食品学院,四川成都 610065;四川大学生命科学学院生物资源与生态环境教育部重点实验室,四川成都 610064;四川大学生命科学学院生物资源与生态环境教育部重点实验室,四川成都 610064;四川大学生命科学学院生物资源与生态环境教育部重点实验室,四川成都 610064;四川大学生命科学学院生物资源与生态环境教育部重点实验室,四川成都 610064;四川大学生命科学学院生物资源与生态环境教育部重点实验室,四川成都 610064【正文语种】中文四川省泸州市先市镇位于川南黔北部,当地独特的先市酱油酿制技艺始创于汉朝,兴于唐朝,盛于清朝,所产酱油“酱香浓郁,色泽棕红,体态澄清,味道鲜美,挂碗不沾碗,久储不变质”,于2014年被列入第四批国家级“非物质文化遗产”名录[1]。
白酒中挥发性苦涩味物质的提取和分离

白酒中挥发性苦涩味物质的提取和分离王尹叶;范文来;徐岩【摘要】为鉴定白酒中挥发性苦味和涩味化合物,建立了一种新的提取和分离白酒中苦味和涩味物质的方法.通过梯度减压蒸馏将白酒样品分成4个组分(A、B、C和D),具有强烈苦味和涩味的组分B通过半制备液相再分离,得到10个亚组分,每个亚组分分别用戊烷和乙醚萃取,收集乙醚萃取相.将每一个乙醚相平均分成两份,一份用纯净水洗涤,水洗相用真空旋转蒸发除去溶剂,用于味觉稀释分析(taste dilution analysis,TDA);另一份氮吹浓缩至250 μL进行GC-MS分析.TDA结果表明,4个乙醚萃取组分B-8-Ⅱ、B-2-Ⅱ、B-3-Ⅱ和B-4-Ⅱ具有较高的TD值,其涩味TD值分别为128、64、32和8,苦味TD值分别为32、16、16和8.通过GC-MS共鉴定出7种呈味化合物,经标准品验证,2-苯乙醇和乳酸乙酯呈现涩味;糠醛、2-甲基丙醇、3-甲基丁醇、1-丁醇和正丙醇呈涩味和苦味,其中,2-苯乙醇的味觉特征是首次报道.【期刊名称】《食品与发酵工业》【年(卷),期】2018(044)006【总页数】5页(P240-244)【关键词】白酒;苦味;涩味;味觉稀释分析(taste dilution analysis,TDA);2-苯乙醇【作者】王尹叶;范文来;徐岩【作者单位】江南大学生物工程学院,酿造微生物与应用酶学研究室,教育部工业生物技术重点实验室,江苏无锡,214122;江南大学生物工程学院,酿造微生物与应用酶学研究室,教育部工业生物技术重点实验室,江苏无锡,214122;江南大学生物工程学院,酿造微生物与应用酶学研究室,教育部工业生物技术重点实验室,江苏无锡,214122【正文语种】中文苦味和涩味是白酒中常见的异味[1],直接影响着白酒的品质。
我国各香型白酒都不同程度地存在苦、涩味问题。
早期有学者推测白酒中呈苦味化合物可能是正丙醇、1-丁醇、异丁醇、异戊醇、糠醛、丙烯醛、单宁、硫化物、氨基酸等;呈涩味的化合物主要是乳酸、乳酸乙酯、异丁醇、异戊醇、糠醛和单宁等[2-3]。
气相色谱-质谱联用技术分析制痂酊中挥发性成分

安徽医药Anhui Medical and Pharmaceutical Journal 2021May ,25(5)气相色谱-质谱联用技术分析制痂酊中挥发性成分陆静金1,夏泉1,2作者单位:1安徽医科大学第一附属医院药剂科,安徽合肥230022;2国家中医药管理局中药化学三级实验室,安徽合肥230022通信作者:夏泉,男,主任药师,硕士生导师,研究方向为天然药物活性成分筛选研究,Email :*******************摘要:目的分析制痂酊中挥发性成分。
方法采用气相色谱-质谱联用(GC –MS )技术分析制痂酊中的挥发性成分,通过wiley7n.1标准谱库检索和文献对比鉴定各挥发性成分,采用面积归一化法计算各挥发性成分的相对百分含量。
结果制痂酊中鉴定了13个挥发性成分,主要为异龙脑(40.99%)、龙脑(55.18%)、1,3,3-三甲基-二环[2.2.1]庚烷-2-醇(1.01%)、外型-1,7,7-三甲基-二环[2.2.1]庚-2-醇(1.01%)。
结论运用GC –MS 技术全面地分析了制痂酊中挥发性成分,为制痂酊质量控制提供科学依据。
关键词:中草药;主成分分析;气相-质谱联用技术;制痂酊;挥发性成分Identification of the volatile components in ZhiJia tincture by GC –MSLU jingjin 1,XIA Quan 1,2Author Affiliation:1Department of Pharmacy,The First Affiliated Hospital of Anhui Medical University,Hefei,Anhui230022,China;2The Grade 3Pharmaceutical Chemistry Laboratory of State Administration of Tra⁃ditional Chinese Medicine,Hefei,Anhui 230022,ChinaAbstract :ObjectiveTo study the chemical constituent of the volatile components of ZhiJia tincture.MethodsThe volatile com‐ponents of ZhiJia tincture were analyzed by gas chromatography mass spectrometry (GC –MS).The volatile components were identified by wiley7n.1library and literature comparison,the relative percentage contents of which were calculated by area normalization method.ResultsA total of 13volatile components were identified from ZhiJia Tincture,including isoborneol (40.99%),borneol (55.18%),1,3,3-trimethyl -bicyclo [2,2,1]heptan -2-ol (1.01%)and exo -1,7,7-trimethyl -bicyclo [2,2,1]heptan -2-ol (1.01%).Conclusion Volatile com‐ponents in the ZhiJia tincture are analyed by GC –MS,which provides scientific references for quality control of ZhiJia tincture.Key words :Drugs,Chinese herbal;Principal component analysis;GC –MS;ZhiJia tincture;volatile components制痂酊为安徽医科大学附属医院制剂,由黄柏、黄芩、儿茶和冰片四味中药,经乙醇浸提制成的中药复方酊剂,具有清热燥湿、敛疮、收敛止痛、抗菌等之功效。
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Original articleCharacterization of volatile compounds from Daqu-a traditional Chinese liquor fermentation starterChunlin Zhang,1Zonghua Ao,2Weiqiang Chui,1Caihong Shen,2Wenyi Tao 1*&Suyi Zhang 21School of Biotechnology,Jiangnan University,Wuxi 214122,China 2Luzhou Laojiao Co.Ltd,Luzhou 646000,China(Received 15December 2010;Accepted in revised form 5April 2011)SummaryDaqu is a fermentation starter and substrate complex that is used to initiate the solid fermentations for the production of Chinese liquor.The aroma of Daqu is one of the most important factors that influence the flavour of Chinese liquor.To further study the aroma of Daqu,volatile compounds in ten Daqu samples were extracted by headspace solid-phase microextraction (HS-SPME)and analysed by gas chromatography–mass spectrum (GC-MS).The samples were pre-equilibrated at 50°C for 10min and extracted with stirring at the same temperature for 30min prior to injection into a GC-MS.A total of 75volatile compounds were characterised by GC-MS,including twelve alcohols,eleven esters,eight acids,nine aromatic compounds,four phenols,two furans,fourteen nitrogen-containing compounds and fifteen aldehydes and ketones.By a principal component analysis (PCA),the ten Daqu samples could be classified into three groups according to their origins and,in particular,the production technologies.KeywordsChinese liquor,daqu,gas chromatography–mass spectrum,principal component analysis,volatile.IntroductionChinese liquor is a popular traditional alcoholic beverage with a long history in China.The invention and development of its manufacturing technique is considered as one of the progress in the technological history of ancient China (Shen,2002).Compared with other spirits,such as vodka,whisky and brandy,Chinese liquor is typically fermented from sorghum with Daqu and microorganisms.While producing Chi-nese liquor,the grain is ground and cooked,mixed with Daqu powder and then fermented for several months.After fermentation,the liquor is distilled out with distillatory.The distillate is aged for several years to develop the bouquet aroma (Zhang &Lai,2009).In the process of brewing Chinese liquor,Daqu is a source of microorganisms and crude enzymes,serves as a portion of materials and provides flavour substances for Chinese liquor (Zhang &Lai,2009;Ao et al.,2010).Daqu is a moulded cereal,which is prepared by natural inoculation of moulds,bacteria and yeasts (Ao et al.,2010).During Daqu-making process,the raw materials are typically milled,mixed with water,pressed into a brick-shaped block and then incubated under nonsterileconditions (Shen,2002;Zhang &Lai,2009).As a result of fermentation,Daqu is rich in a wide variety of microor-ganisms such as Bacillus ,Acetobacter ,Aspergillus ,Mu-cor ,Saccharomyces and Hansenula and various enzymes including amylases,glucoamylase and proteases (Wang et al.,2008).Many substances including amino acids and carbohydrates are also accumulated in Daqu during fermentation (Zhang &Lai,2009).Therefore,as a source of microorganisms and crude enzymes,as well as a portion of brewing materials,Daqu is important in the production of Chinese liquor.On the other hand,Daqu also plays a key role in forming the aroma of Chinese liquor.It has been reported that when commercial enzymes were used instead of Daqu for Chinese liquor fermentation,the aroma of the wine was significantly different from that of traditional Chinese liquor (Shen,2002).This indicates that the aroma of Chinese liquor is contributed by the aroma from Daqu during Chinese liquor brewing process;without it,the wine loses its characteristic aroma and flavour.Up to now,most of the studies have focused on enzymes and microorganisms of Daqu (Zhang et al.,2008;Zhang &Lai,2009),but the volatile compounds of Daqu have not yet been studied by gas chromatography–mass spectrum (GC-MS),and the aroma of Daqu is evaluated only by its simple sensory description with the term ‘normal or no odour of Daqu’.The aroma compounds of Daqu are the most important*Correspondent:Fax:+8651085918309;e-mail:wytao1946@International Journal ofFood Science and Technology 2011,46,1591–15991591doi:10.1111/j.1365-2621.2011.02660.xÓ2011The Authors.International Journal of Food Science and Technology Ó2011Institute of Food Science and Technologyfactors that influenced the aroma of Chinese liquor(Fan &Xu,2007),so it is important to characterise the volatile compounds of Daqu.According to theflavour characteristics of the liquor obtained,several types of Daqu can be distinguished, such as light-flavour,strong-flavour,and sauce-flavour Daqu.The primary reason for the differences is the different formulation of ingredients caused by the fermentation conditions,which leads to the formations of metabolites and reaction products(Wu et al.,2009). Therefore,the aroma profiles of various Daqu are quite different because of the differences in manufacturing technique.Many extraction techniques had been used in the analysis of volatiles,such as solid-phase extraction (SPE)(Wada&Shibamoto,1997),purge and trap (P&T)(Carmen et al.,1995)and simultaneous distilla-tion–extraction(SDE)(Bicalho et al.,2000).Solvent-assistedflavour evaporation(SAFE)is a good technique for volatile extraction,and it can allow careful isolation of volatile compounds from complex matrices(Engel et al.,1999).Solid-phase microextraction(SPME)is another good technique for the extraction of volatiles. The main advantages of this method are simplicity,high sensitivity and small sample volume,and it can also extract a wide range of aroma compounds(Fan&Qian, 2005).The SPME method has been employed for many diverse disciplines including the analysis of aroma compounds in red grape cultivars(Gonza lez Mas et al., 2009),volatiles from apple cider(Wang et al.,2004;Xu et al.,2007),white and red wine(Weingart et al.,2010), Chinese liquor(Fan&Qian,2006a,b)and papaya wine (Lee et al.,2010).The objective of this study was to investigate the flavour compounds in Daqu samples from two major types of Daqu.To achieve this goal,ten Daqu samples were collected and used to analyse the volatileflavour compounds by using headspace solid-phase microex-traction(HS-SPME)and GC-MS.Principal component analysis(PCA),a powerful statistical tool,was further employed to analyse and identify the characteristic flavour compounds of Daqu samples.Materials and methodsDaqu samplesTypical brick-shaped Daqu representing theflavour types was judged by experienced technical personnel. Ten Daqu samples were selected,which were produced by Luzhou Laojiao Company located in Luzhou of China,includingfive Daqu samples fermented by middle temperature procedure were labelled as ZY1, ZY2,ZY3,ZP1and ZP2andfive samples made by high temperature procedure were labelled as GY1,GY2, GY3,GP1and GP2.A whole block of Daqu sample was put into a sterile bag,and then,each Daqu sample was ground and stored at)20°C before analysis.All of these Daqu samples were made in2010.ChemicalsMethanol(special grade reagent)was purchased from Hanbon Sci.&Tech.Co.,Ltd(Jiangsu,China),and2-octanol from Sigma-Aldrich China Co.(Shanghai, China)was used as the internal standard.Others were also obtained from Sigma-Aldrich China Co. Headspace solid-phase microextraction methodThe50⁄30-l m divinylbenzene⁄carboxen on poly-dimethylsiloxane(DVB⁄CAR on PDMS)-coatedfibres (Supelco,Inc.,Bellefonte,PA,USA)were used for volatile compound extraction.Each Daqu sample (0.5g)was added in deionised water and placed in a 15-mL vial.The total5mL solution volume,in which 50l L of the internal standard2-octanol solution at 0.5mg L)1in absolute methanol was added,was saturated with sodium chloride.Then,the vial was tightly capped with a teflon⁄silicone septum,stirred and left to equilibrate for10min and then incubated for 30min at50°C.After extraction,thefibre was intro-duced into the injection port of the GC-MS system (250°C)for5min to desorb the analytes.All analyses were carried out in triplicate.GC-MS analysisThe analyses were carried out on a GC-MS(Trace MS⁄GC;Thermo Quest Finnigan Co.,Silicon Valley, CA,USA).The separations were performed using DB-WAX capillary column(30m·0.25mm i.d·0.25l m film thickness;J&W Scientific,Folsom,CA,USA).The oven and injector temperatures were250°C.Helium at a constantflow rate of0.8mL min)1was used as the column carrier gas.The oven temperature was held at 50°C for2min and then raised to230°C at a rate of 6°C min)1and held at230°C for15min.Mass was used for the identification of the unknown compounds. The electron impact(EI)energy was70eV.The ion source and transfer line temperatures were set at230°C and280°C,respectively.EI mass spectra ranged from 30to550amu.Identification and semi-quantification of unknowns Unknown compounds were identified by comparison with those in the Wiley6Library(Finnigan Co.,Silicon Valley,CA,USA)and NIST05library(Finnigan Co.) mass spectral database.RIs were calculated in accor-dance with a modified Kovats method(Cates&Meloan, 1963).A standard mixture of paraffin homologues C6-Characterization of volatile compounds C.Zhang et al.1592International Journal of Food Science and Technology2011Ó2011The AuthorsInternational Journal of Food Science and TechnologyÓ2011Institute of Food Science and TechnologyC26was prepared.The sample and the hydrocarbon standard mixture were co-injected into the GC,and the retention times were used to calculate RIs.Semi-quantification of the volatile compounds was performed using2-octanol as the internal standard.Data were collected in total ion mode for all mixed standards and samples.Preparation of standards and SPMEfibre calibration Each standard stock solution of the volatile compounds was prepared by dissolving compound in absolute methanol.Working solution was made from the stock solutions by mixing them with the solution which was saturated with sodium chloride.The concentrations of theflavour compounds in the working solution were as follows:2-methylpropanol(143.66l g L)1),2-pentanol (1278.57l g L)1),3-methylbutanol(920.95l g L)1),ethyl acetate(2832.15l g L)1),methyl butyrate(975.29l g L)1),hexanal(485.35l g L)1),2-pentanone(347.29l g L)1),acetic acid(544.87l g L)1),hexanoic acid(220.59 l g L)1),2-methylpyrazine(98.73l g L)1),2,3,5,6-tetramethylpyrazine(1182.33l g L)1),4-ethyl guaiacol (488.62l g L)1),benzaldehyde(523.10l g L)1),phen-ethyl alcohol(1328.79l g L)1)and furfuryl alcohol (507.75l g L)1).This solution was used as the highest concentration calibration standard,and more calibra-tion solutions were prepared by using serial dilution with the solution which was saturated with sodium chloride.Statistical analysisThe SPSS18.0software(SPSS Inc.,Chicago,IL,USA) was used for the statistical analysis of the volatile flavour compounds and the parameters.Statistical differences among the Daqu samples were determined using the one-way anova analysis.For all the statistical analyses performed,differences were considered signif-icant at P£0.05.Factor analysis was performed to reduce the dimensionality offlavour compound data and to identify underlying variables.Results and discussionHeadspace solid-phase microextraction parametersHS-SPME is based on the equilibrium of analytes among sample matrix,the headspace and thefibre coating,that is,once equilibrium has been reached,the concentration of the analytes can be considered constant in the three phases,and precision of the method will be improved(Zhang&Pawliszyn,1993).Fourfibres coated with85-l m polyacrylate(PA),100-l m PDMS,75-l m CAR⁄PDMS and50⁄30-l m DVB⁄CAR on PDMS were used to detect the volatile compounds in Daqu.The results showed that theDVB⁄CAR on PDMSfibre extracted more compoundswith higher intensities,while the PAfibre extracted the fewest compounds(Fig.1).So,the50⁄30-mmCAR⁄DVB on PDMSfibre was used.It is well knownthat the extraction was strongly influenced by temper-ature in the HS-SPME analysis.The extraction temper-atures(30,40,50and60°C)were evaluated in theHS-SPME parameter screening experiment.The results shown in Fig.2reveal that the extraction efficiency for volatile compounds was increased with the extraction temperature up to50°C and that when the extraction temperature was raised to60°C,the extraction effi-ciency has no distinct improvement.Extraction time wasalso an important factor for extraction efficiency.The Daqu samples were extracted for10,20,30,40andCharacterization of volatile compounds C.Zhang et al.1593Ó2011The Authors International Journal of Food Science and Technology2011 International Journal of Food Science and TechnologyÓ2011Institute of Food Science and Technology50min.As shown in Fig.3,the total peak area was clearly increased when the extraction time was 30min,while there were few changes when the extraction time was prolonged to 50min.Based on these observations,the volatiles were extracted by the 50⁄30-mm CAR ⁄DVB on PDMS fibre at 50°C for 30min.Volatile compounds in DaquThe results in Table 1show that seventy-five volatile compounds were identified by GC-MS from the ten Daqu samples.Chemical functionalities included alco-hols,acids,esters,aldehydes,ketones,aromatic com-pounds,phenols,furans and nitrogen-containingcompounds.Nitrogen-containing compounds that included four-teen compounds were the largest group in the Daqu samples.The relative concentration of nitrogen-contain-ing compounds ranged from 255.33to 1362.14l g kg )1.Among these samples,GP1Daqu had the highest concentration.Four chemicals that were 2,5-dimethyl-pyrazine,2,6-dimethylpyrazine,2,3,5-trimethylpyrazine and 2,3,5,6-tetramethylpyrazine were detected in all Daqu samples,while 2-methylpyrazine,2,3-dimethylpyr-azine,2-ethyl-6-methyl pyrazine,5-ethyl-2,3-dimethyl pyrazine,2-vinyl-6-methyl pyrazine and 2-acetylpyrrole were identified in most Daqu samples.These alkylpyr-azines often impart nutty,baked and roasted notes and can be brought into Chinese liquor to form its aroma (Fan et al.,2007).Daqu is not only the starter,but also the fermentation material because it typically accounts for 25%of the total amount of grains used in the fermentation.Because pyrazines are mostly formed through the Maillard reaction between saccharides and amino residues (Adams et al.,2005)and a high temper-ature would be benefit to the Maillard reaction and produce more pyrazines.Furthermore,alcohols were the second largest group identified in the Daqu,with concentrations between 854.74and 1519.90l g kg )1.Among which 1-hexanol and 2-ethyl hexanol contributed to floral and green aroma notes,3-methylbutanol imparted a nail polish aroma,1-heptanol imparted a green and fruity odour,1-pentanol and 2-pentanol contributed to fruity odours and 1-octanol and 3-octanol provided green and floral notes.In addition,1-octen-3-ol was detected in all Daqu samples and gave mushroom aroma.Higher alcohols could be formed during the fermentation,under aerobic conditions from sugar or anaerobic conditions from amino acids (Mauricio et al.,1997).Because the raw materials (wheat)are rich in amino acid content,higher alcohols can be converted from amino acids by yeast via the Ehrlich metabolic path-way (Wondra &Berovic,2001).Small amounts of higher alcohols could also be formed by yeast,through reduction in corresponding aldehydes (Fan &Qian,2006a,b).From the result of fermentation,as many as eleven esters and nine aromatic compounds were detected from the extracts.The ZY1and GY2Daqu samples had the highest concentration of esters and aromatic com-pounds,respectively.Ethyl acetate,methyl butyrate,hexadecanoic acid methyl ester,9-octadecenoic acid methyl ester and linoleate were identified in all Daqu samples.These compounds often contributed rosy,honey,floral,and fruity odours and have been identified in Chinese liquors previously (Fan &Qian,2006a,b)and could be also important contributors to the aroma of Daqu samples.Yeast and other microorganisms can synthesise esters during fermentation and ageing pro-cesses (Chen &Xu,2010).Among all the aromatic compounds,which produced by Saccharomyces cerevi-siae ,phenethyl alcohol had the highest concentration.Benzaldehyde,phenylacetaldehyde,benzyl alcohol and phenethyl alcohol were detected in all Daqu samples.In addition,methyl benzoate,methyl phenylacetate,phenyl ethyl acetate,methyl 3-phenylpropionate and naphtha-lene were also detected in the Daqu samples.Phenethyl alcohol contributes to rosy and honey aromas,while phenyl ethyl acetate and benzyl alcohol impact floral and fruity notes (Xu et al.,2007).These compounds could be important contributors to the aroma of Daqu samples.A few aldehydes and ketones were identified in this study,and the concentration of these compounds was not very high.Hexanal and 2-pentanone were identified in all Daqu samples.Aldehydes and ketones were probably formed by the yeast (Tao et al.,2008).Volatile acids are important to the flavour characteristics of Daqu samples.Hexanoic acid was probably the most important compound among the fatty acids and wasCharacterization of volatile compounds C.Zhang et al.1594International Journal of Food Science and Technology 2011Ó2011The AuthorsInternational Journal of Food Science and Technology Ó2011Institute of Food Science and TechnologyTable1Volatile compounds identified in Daqu samplesCode RI Basis ofidentification a CompoundsConcentration b(l g kg)1)ZY1ZY1ZY3ZP1ZP2GY1GY2GY3GP1GP2AlcoholsV11106MS,RI2-Methylpropanol44.7632.86n.d.c32.22n.d.n.d.n.d.n.d.n.d.33.02V21116MS,RI2-Pentanol120.95627.63483.37740.06224.4660.08445.37515.36308.32606.11V31152MS,RI1-Butanol12.3829.0526.1118.3315.43n.d.20.7711.9227.06n.d.V41229MS,RI3-Methylbutanol262.86159.53188.90226.68102.12426.25249.99330.76382.20355.17V51240MS,RI2-Hexanol8.0930.0132.2237.7822.34n.d.20.7637.30n.d.37.00V61255MS,RI1-Pentanol81.4366.6765.5655.0172.3446.2548.46n.d.n.d.n.d.V71345MS,RI1-Hexanol251.43146.66150.56125.01138.82195.33130.7662.30184.13139.71V81390MS,RIL3-Octanol n.d.n.d.n.d.n.d.n.d.31.2552.30528.82n.d.41.22V91439MS,RI1-Octen-3-ol24.2826.6631.1132.7832.4440.2853.0716.9241.4553.51V101457MS,RIL1-Heptanol16.6616.1921.1116.1816.48n.d.n.d.n.d.n.d.n.d.V111476MS,RI2-Ethyl hexanol22.3820.4724.4424.1515.9542.5527.699.9932.1344.41V121548MS,RI1-Octanol9.5212.8521.6617.7717.5527.5821.53 6.53n.d.n.d.P854.741168.581045.041325.97657.93869.571070.701519.90975.291310.15EstersV13892MS,RI Ethyl acetate556.20441.43385.03567.2674.462178.75267.6835.76877.4360.63V14948MS,RI Methyl propionate n.d.n.d.n.d.n.d.14.89n.d.n.d.n.d.n.d.n.d.V15982MS,RI Methyl butyrate125.7186.6663.3385.56475.51240.82236.91319.21196.49125.02V161118MS,RI Methyl pentanoate n.d.n.d.n.d.n.d.n.d.n.d.n.d.33.46n.d.n.d.V171204MS,RI Methyl hexanoate19.5218.57n.d.n.d.63.2947.5632.3014.2360.7153.80V181225MS,RI Ethyl hexanoate n.d.n.d.n.d.n.d.n.d.n.d.24.61n.d.n.d.n.d.V192093MS,RIL Pentadecanoic acid methyl ester n.d.n.d.n.d.n.d.17.55n.d.n.d.n.d.n.d.n.d.V202198MS,RIL Hexadecanoic acid methyl ester182.38161.43118.89137.78482.43143.75253.8366.92225.92391.42V212405MS,RI Octadecanoic acid,methyl ester25.71n.d.63.33n.d.n.d.n.d.n.d.n.d.n.d.44.99V222424MS,RI9-Octadecenoic acid methylester298.5764.28172.2350.04129.2547.5964.6118.4661.47527.18V232479MS,RI Linoleate268.10100.08160.5693.89214.35106.25111.5339.61148.39513.10P1476.19872.45963.37934.531471.732764.72991.47527.651570.411716.14 AldehydesV24952MS,RI3-Methyl butyraldehyde n.d.n.d.469.48281.68n.d.3217.50819.19219.991128.22941.61V25960MS,RI Pentanal n.d.n.d.40.70n.d.n.d.n.d.n.d.n.d.46.23n.d.V261069MS,RI Hexanal118.09164.76186.1286.11286.69197.53250.7523.07358.28165.01V271201MS,RI Heptanal n.d.n.d.18.33n.d.n.d.n.d.n.d.n.d.n.d.n.d.V281270MS,RI Octanal n.d.8.09n.d.8.3312.7658.7517.69n.d.n.d.n.d.V291369MS,RI Nonanal23.8117.6123.8921.1114.36136.2559.22n.d.n.d.60.51V301911MS,RIL2-Phenyl-2-butenal n.d.n.d.n.d.n.d.n.d.30.0020.76n.d.n.d.n.d.V312052MS,RIL5-Methyl-2-phenyl-2-hexenal n.d.n.d.n.d.n.d.n.d.81.2536.15n.d.n.d.n.d.P141.9190.46738.52397.23313.813721.281203.76243.061532.731167.13 KetonesV32968MS,RI2-Pentanone50.0079.5256.6729.44126.06101.2550.7653.45139.4746.92V33991MS,RIL2-Methyl-3-pentanone n.d.n.d.n.d.145.01n.d.n.d.n.d.n.d.n.d.n.d.V341185MS,RI2-Heptanone20.0917.1414.4415.0113.29n.d.n.d.n.d.n.d.n.d.V351193MS,RIL5-Methyl-2-hexanone n.d.n.d.n.d.n.d.n.d.n.d.22.30n.d.n.d.n.d.V361250MS,RIL5-Methyl-3-heptanone n.d.n.d.n.d.n.d.n.d.n.d.n.d.57.69105.0147.02V371317MS,RIL6-Methyl-5-hepten-2-one12.8515.2318.3322.7715.4226.2544.61n.d.58.2850.01V382071MS,RIL(Z)-Oxacycloheptadec-8-en-2-one44.2838.57n.d.44.4454.78n.d.44.6171.5358.06282.86P127.22150.4689.44256.67209.55127.50162.28182.67360.82426.81AcidsV391433MS,RI Acetic acid n.d.n.d.n.d.n.d.n.d.123.7579.22n.d.47.92113.63V401606MS,RI2-Methyl propioric acid n.d.n.d.n.d.n.d.12.7647.5833.079.9956.8195.92V411642MS,RI Butyric acid n.d.12.25n.d.n.d.n.d.n.d.38.468.07n.d.n.d.V421679MS,RI Pentanoic acid n.d.n.d.n.d.n.d.n.d.356.25413.82101.53483.72706.95V431665MS,RI3-Methyl-butanoic acid12.8527.1427.2220.2079.78n.d.n.d.n.d.n.d.n.d.V441824MS,RIL4-Methyl-pentanoic acid n.d.n.d.n.d.n.d.n.d.n.d.22.388.4321.0332.92V451844MS,RIL2,3-dimethyl-2-pentenoicacid n.d.n.d.n.d.19.4439.36n.d.45.3843.84n.d.n.d.V461858MS,RI Hexanoic acid10.478.09n.d.9.4425.53132.5841.5314.9947.8157.29Characterization of volatile compounds C.Zhang et al.1595Ó2011The Authors International Journal of Food Science and Technology2011 International Journal of Food Science and TechnologyÓ2011Institute of Food Science and Technologydetected in all Daqu samples.Most of the fatty acids in Daqu were produced by microbial fermentation.Four phenols were detected in the Daqu samples among which 4-ethylphenol was detected in all -pared with the nitrogen-containing compounds and aromatic compounds,the concentration of phenols was not very higher.These could be formed from lignin degradation of raw materials (Tuomela et al.,2000).Two kinds of furans including furfural and furfuryl alcohol were identified in the Daqu samples.Similar topyrazines,a high fermentation temperature also facili-tates furan formation through nonenzymic browning of sugars.Comparison of ten Daqu samplesIn this study,ten samples made by two different procedures were investigated.A principal component analysis was carried out to show relationships among different Daqu samples (Fig.4).PCA is a mathematicalTable 1ContinuedCode RI Basis of identification a CompoundsConcentration b (l g kg )1)ZY1ZY1ZY3ZP1ZP2GY1GY2GY3GP1GP2P23.3235.2327.2249.08157.43660.16673.86186.85657.291006.71Nitrogen-containing compounds V471265MS,RI 2-Methylpyrazine 9.0414.7613.8915.55n.d.38.7527.6917.6936.8139.73V481321MS,RI 2,5-Dimethylpyrazine 55.2347.6241.1139.4444.67117.5942.3025.38157.5184.99V491330MS,RI 2,6-Dimethylpyrazine 34.2861.4250.7066.1138.29121.25124.6130.76121.21155.77V501334MS,RIL 2-Ethyl Pyrazine n.d.8.09n.d.n.d.n.d.n.d.n.d.n.d.n.d.n.d.V511342MS,RI 2,3-Dimethylpyrazine 26.6625.2315.5520.5519.68n.d.29.228.8435.8639.06V521375MS,RIL 2-Ethyl-6-methyl pyrazine 11.9030.4723.3336.6626.59107.5966.15n.d.112.4377.19V531388MS,RIL 4-Dimethylaminopyridine n.d.13.3310.5515.5526.59n.d.n.d.n.d.96.80n.d.V541402MS,RI 2,3,5-Trimethylpyrazine 177.62144.76103.34127.78130.84147.54140.7636.53205.38137.96V551415MS,RI 2,6-Diethylpyrazine n.d.n.d.n.d.14.44n.d.n.d.n.d.n.d.n.d.n.d.V561433MS,RIL 5-Ethyl-2,3-dimethyl pyrazine 48.0950.4757.7851.1157.9770.3977.68n.d.105.44121.97V571460MS,RI 2,3,5,6-Tetramethylpyrazine 427.62234.76273.35269.46251.58195.88286.9189.22311.52138.84V581489MS,RIL 2-Vinyl-6-methy pyrazine 61.4267.6263.3373.3367.01100.06n.d.27.30115.84112.64V591514MS,RIL 2,5,6-Trimethyl-4-ethyl pyridine 10.4712.3810.5513.8914.89n.d.20.76n.d.n.d.n.d.V601950MS,RI 2-Acetylpyrrole 7.1413.33n.d.17.7716.4873.7573.8419.6163.3465.24P869.47724.24663.48761.64694.59972.80889.92255.331362.14973.39Phenols V611862MS,RI Guaiacol n.d.n.d.n.d.n.d.n.d.40.7515.38n.d.n.d.26.42V621989MS,RI Phenol23.8123.81n.d.23.8951.0643.75303.8333.8466.68104.78V632010MS,RI 4-Ethyl guaiacol43.8123.8124.4429.9426.5980.8268.4516.5380.91103.42V642217MS,RIL2,4-Ditertbutyl phenol22.3914.2813.8311.11n.d.n.d.n.d.n.d.n.d.n.d.P90.0161.9038.2764.9477.65165.32387.6650.37147.59234.62Aromatic compounds V651506MS,RI Benzaldehyde 44.7654.7662.7870.5653.72320.25206.9134.22156.88253.81V661611MS,RIL Methyl benzoate n.d.n.d.n.d.n.d.n.d.36.25n.d.n.d.23.2855.42V671626MS,RI Phenylacetaldehyde 17.6130.9546.1147.2226.06243.75159.2235.76139.95156.33V681701MS,RI Naphthalene16.1973.3376.6762.7844.14108.7147.6919.23n.d.39.31V691722MS,RI Methyl phenylacetate n.d.n.d.n.d.n.d.n.d.n.d.54.6111.9227.8234.19V701801MS,RIL Phenyl ethyl acetate8.09n.d.n.d.11.11n.d.50.1729.22n.d.n.d.n.d.V711830MS,RIL Methyl 3-phenylpropionate n.d.n.d.n.d.n.d.n.d.n.d.46.15 6.5323.47n.d.V721858MS,RI Benzyl alcohol 37.1420.4828.8922.7821.2861.2583.0713.0878.2749.42V731902MS,RI Phenethyl alcohol260.48498.10618.93638.38481.90398.75608.44108.46648.26441.07P384.27677.62833.38852.83627.101219.131235.31229.201097.931029.55FuransV741493MS,RI Furfuraln.d.n.d.n.d.n.d.n.d.126.2540.7711.1537.0369.34V751698MS,RI Furfuryl alcohol20.0018.0931.6725.5627.66262.53159.9926.54169.21144.10P20.1218.0931.6725.5627.66388.78200.7637.69206.24213.44aMS,compounds were identified by MS spectra.RI,compounds were identified by comparison with pure standard.RIL,compounds were identified by comparison with RI from the literatures Xu et al.(2007);Fan &Qian (2006a,b);Tao et al.(2008);Kumazawa &Masuda (2002);Yu et al.(2004).bAll the results are the average of three parallel experiments,and the RSD values in the quantification of flavour compounds did not exceed ±10%.cn.d.,not detected.Characterization of volatile compounds C.Zhang et al.1596International Journal of Food Science and Technology 2011Ó2011The AuthorsInternational Journal of Food Science and Technology Ó2011Institute of Food Science and Technologyprocedure for resolving sets of data into orthogonal components,whose linear combinations (principal components)approximate the original data to any desired degree of accuracy (Delgado et al.,2010).In most cases,two principal components are sufficient to explain a great proportion of the variation in the original variables,thus resulting in a considerable compression of the data.In this case,35%and 14%of the variability was explained by principal compo-nents PC 1and PC 2,respectively.Positive loading of PC1was related to 2-methyl propioric acid,penta-noic acid,2,6-dimethylpyrazine,4-ethyl guaiacol and 2-methylpyrazine,whereas 1-pentanol,1-heptanol,2-heptanone and 2,4-ditertbutyl phenol showedtheFigure 4Principal component analysis of volatile flavour compounds in Daqusamples.Figure 5Principal component analysis score plot according to volatile compounds in Daqu samples.Characterization of volatile compounds C.Zhang et al.1597Ó2011The AuthorsInternational Journal of Food Science and Technology 2011International Journal of Food Science and Technology Ó2011Institute of Food Science and Technologynegative loadings.For PC2,loadings were character-ised by octanal,5-methyl-2-phenyl-2-hexenal,naphtha-lene and phenyl ethyl acetate with positive values, whereas2,3-dimethylpyrazine,2-pentanol,2-hexanol and2-methylpropanol showed negative values.The PCA showed a good separation of the different Daqu samples and three groups were clearly defined(Fig.5). Daqu samples fermented by middle temperature pro-cedure formed a clear group,which was associated with 2,3,5,6-tetramethylpyrazine,2,5,6-trimethyl-4-ethyl pyridine and3-methyl-butanoic acid.Daqu samples fermented by high temperature procedure formed two different groups,one group including GY1,GY2 and GY3was associated with octanal,2-phenyl-2-butenal,5-methyl-2-phenyl-2-hexenal and phenyl ethyl acetate,another group including GP1and GP2was associated with6-methyl-5-hepten-2-one,(z)-oxacyclo-heptadec-8-en-2-one,5-ethyl-2,3-dimethyl pyrazine and 4-methyl-pentanoic acid.ConclusionsIn conclusion,HS-SPME using50⁄30-l m DVB⁄CAR⁄P DMSfibre combined with GC-MS was a very simple and fast technique for analysing volatile compounds in Daqu samples.The original Daqu samples were extracted by HS-SPME.The samples were pre-equili-brated at50°C for10min and extracted with stirring at the same temperature for30min prior to injection into GC-MS.A total of seventy-five volatile compounds were identified from ten typical Daqu samples,including twelve alcohols,eleven esters,eight acids,fifteen alde-hydes and ketones,nine aromatic compounds,four phenols,two furans and fourteen nitrogen-containing compounds.In particular,the elaboration of data has shown a good discrimination among Daqu samples made by two different procedures.By means of the PCA analysis,Daqu samples can be classified into three groups according to the production technologies.This research indicates that Daqu samples made by different production techniques have obvious differences;further research including sensory evaluation and GC-olfac-tometry should be carried out.Daqu is not only a source of inoculum but also plays an important role during the fermentation as a substrate.At present,knowledge of the microbiota of Daqu is still far from complete and is the subject of current research.To this day,the manufacturing process of Daqu still relies on workers experience. The Daqu quality cannot be kept stable even for the same batch of products.Daqu making involves several complex fermentation stages.We believe that the microbiota would change according to the factory locations and therefore influenceflavour profile.How-ever,we tried to extract the common information for eachflavour type of Daqu in this paper.Further study of microbial ecology during the production of Daqu and the ensuing alcoholic fermentation will be neces-sary.The analysis of metabolites based on GC-MS could be useful in the control offlavour development during Daqu production.AcknowledgmentsFinancial support from the Science and Technology support program,Sichuan province,P.R.China,under No.2010SZ0032and open project from Liquor Making Bio-technology Application of Key Laboratory of Sichuan province,P.R.China,under No.NJ2009-01 are gratefully acknowledged.ReferencesAdams,A.,Borrelli,R.C.&Fogliano,V.(2005).Thermal degradation studies of food melanoidins.Journal of Agricultural and Food Chemistry,53,4136–4142.Ao,Z.H.,Shan,X.H.,Shen,C.H.&Xu,D.F.(2010).Domestic related quality standards of Daqu and its research progress.Liquor-making Science and Technology,188,104–108.Bicalho,B.,Pereira,A.S.,Neto,F.,Pinto,A.C.&Rezende,C.M.(2000). 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