Metabolomics mechanism of traditional soy sauce associated with fermentation time

Given that fermentation time has significant impact on quality and flavor of soy sauce,a global understanding of the metabolic mechanism as fermentation time prolonged is essential for producing satisfactory and consistent quality of traditional soy sauce.Herein,the metabolic compounds changes of soy sauce associated with fermentation time up to 10 years were comprehensively investigated by using Chinese traditional fermented soy sauce(CTFSS)as a demonstration.Results showed that formaldehyde nitrogen,total soluble nitrogen(TSN),non-salt soluble solids,amino acids,free 5’-nucleotides and volatile compounds in CTFSS changed obviously during fermentation.Specifically,glutamic acid and aspartic acid were prominent in CTFSS.Continuous decrease in content of hypoxanthine(Hx)was found from 1 M(1-month soy sauce)to7 M(7-months soy sauce).Furthermore,a significant opposite tendency for changes between some volatile compounds and amino acids was indicated that there was a transformation between these two components.Therefore,a better understanding to the influence of fermentation time on soy sauce had been proposed.As the formation and conversion of amino acids and sugars might be mainly responsible for flavor formation in CTFSS,the ratio of these two reactions rate led the metabolism to be divided into three steps,degradation,conversion and balance.

Determination of Quality Properties of Soy Sauce by Support Vector Regression Coupled with SW-NIR Spectroscopy

The modern near-infrared(NIR) spectroscopy analysis is a simple, efficient and nondestructive technique, which has been used in chemical analysis in diverse fields. Shortwave NIR spectroscopy is also a rapid, flexible, and cost-effective method to control product quality in food industry. The method of support vector regression coupled with shortwave NIR spectroscopy was explored for the nondestructive quantitative analysis of the important quality parameters of soy sauce, including amino nitrogen content, total acid content, salt content and color ratio. In this study, the support vector regression(SVR) models based on subtractive spectra and positive spectra were found and compared, the results show that the subtractive spectrum was more excellent than the positive spectrum. Meanwhile, R and RSE were determined, respectively, by means of original spectra and pretreated spectra[standard normal variate (SNV), first-derivative and second-derivative], and the corresponding models were successfully established. The best prediction was achieved by a support vector regression model of the first derivative transformed dataset. In addition, the result obtained by the proposed method was compared with that of Partial Least Squares(PLS), which showed that the generalization performance of the classifier based on SVR was much better than that of PLS. The results demonstrate that shortwave NIR spectroscopy combined with SVR is promising for the quality control of soy sauce.

<i>In Vitro</i>Antioxidative Activity and Antihypertensive Activity of Soy Sauce Cake Derived from the Manufacturing of Japanese Style Fermented Soy Sauce

As the manufacture of soy sauce produces a large quantity of soy sauce cake as one of food processing waste, it is necessary to search for possible ways for their utilization. Chemical composition of soy sauce cake was analyzed to use as a material of high-value functional ingredients. The results showed that soy sauce cake could be potentially used as functional ingredients rich in proteins, with high antioxidative activitiy, free radical scavenging activity, and antihypertensive activity. Based on their IC50 values, the hydrolysates from soy sauce cake were more significantly effective against superoxide anion radicals and ACE, compared with hydroxyl radicals and DPPH radicals. The present study indicates that a large amount of soy sauce cake can be used as source of proteins with good antioxidative activity, free radical scavenging activity, and antihypertensive activity. The utilization of soy sauce cake may be also to contribute to reduce food processing wastes and to resolve an environmental problem.

The development of soy sauce from organic soy bean

Soy sauce by a high salt liquid-state fermentation process was prepared using the organic soy beans as raw material. Beidahuang organic soy bean was selected among different raw materials. Here, the best technique was determined. Firstly, the organic soy beans were soaked for 7 hours under 121℃, steamed for 15 min and mixed with the fried wheat (5:5, w/w). After inoculated with Aspergillus oryzae 3.042 (0.3%, w/w) and cultured for 36 hours, the koji was obtained. When the brine (2:1, w/w) was added, fermentation started. At the end of the fermentation, isoflavone content of organic soy sauce was 0.22 mg· g-1 higher than those in the non- organic soy beans. In addition, compared to the control there were a higher unsaturated fatty acids content, the linoleic acid content in crude fat of 51.61% and γ-linolenic acid content in crude fat of 0.55%.

Visible and Near-Infrared Spectroscopic Discriminant Analysis Applied to Identification of Soy Sauce Adulteration

The identification of soy sauce adulteration can avoid fraud, and protect the rights and interests of producers and consumers. Based on two measurement models (1 mm, 10 mm), the visible and near-infrared (Vis-NIR) spectroscopy combined with standard normal variate-partial least squares-discriminant analysis (SNV-PLS-DA) was used to establish the discriminant analysis models for adulterated and brewed soy sauces. Chubang soy sauce was selected as an identification brand (negative, 70). The adulteration samples (positive, 72) were prepared by mixing Chubang soy sauce and blended soy sauce with different adulteration rates. Among them, the “blended soy sauce” sample was concocted of salt water (NaCl), monosodium glutamate (C5H10NNaO5) and caramel color (C6H8O3). The rigorous calibration-prediction-validation sample design was adopted. For the case of 1 mm, five waveband models (visible, short-NIR, long-NIR, whole NIR and whole scanning regions) were established respectively;in the case of 10 mm, three waveband models (visible, short-NIR and visible-short-NIR regions) for unsaturated absorption were also established respectively. In independent validation, the models of all wavebands in the cases of 1 mm and 10 mm have achieved good discrimination effects. For the case of 1 mm, the visible model achieved the optimal validation effect, the validation recognition-accuracy rate (RARV) was 99.6%;while in the case of 10 mm, both the visible and visible-short-NIR models achieved the optimal validation effect (RARV = 100%). The detection method does not require reagents and is fast and simple, which is easy to promote the application. The results can provide valuable reference for designing small dedicated spectrometers with different measurement modals and different spectral regions.

The Role of Nutrition Education in the Promotion of Iron-Fortified Soy Sauce in China

Iron deficiency anemia （IDA） is one of the most important nutrition issues in China. Data from the 2002 National Nutrition and Health Survey showed that the average anemia prevalence in China was 20.1% and the prevalence in women of child-bearing age and of children in some poor regions reached more than 50%; it has been estimated that more than 200 million Chinese people are suffering from anemia. Anemia significantly affects physical and mental development in children, decreases productivity in adults, and reduces immune function among the population at large, which leads to a lower health status and limits social development.

DETERMINATION OF ORGANIC ACIDS IN SOY SAUCE BY HPLC

Organic acids in 3 kinds of soy sauces were analyzed by HRLC.Column:C18 ()Bondapak(10μm,3.9mm i.d.* 30cm;mobile phase:0.5%(NH_4)_2HPO_4(pH=2.9);flow rate:1.0 ml/m.PT-C18 cartridge was used for the sample preparation.Recoveries of organic acids are between 96-111%.

酱油酿造中糖类的研究进展

传统酿造酱油是亚洲菜系中用来提高鲜味的调味品。以大豆、麸皮等含淀粉的原料经微生物发酵制得的酱油中含有氨基酸、糖类、有机酸等多种成分,其中以葡萄糖为主的许多单糖、寡糖、多糖等对酿造酱油的风味和品质起到重要作用。文章从酱油酿造中糖类的种类与含量、形成机制、影响因素、功能作用等方面进行了综述。

基于宏基因组测序和纯培养技术解析胀袋生抽酱油的微生物类群

该研究采用宏基因组测序技术对胀袋生抽酱油微生物类群进行了解析,对其微生物菌株进行了分离鉴定,并对分离株是否可导致酱油胀气进行了验证。宏基因组结果表明,胀袋生抽酱油样品中平均相对含量大于1.0%的微生物主要由嗜盐四联球菌(Tetragenococcus halophilus)、酸鱼联合乳杆菌(Ligilactobacillus acidipiscis)、植物乳植物杆菌(Lactiplantibacillus plantarum)、耐酸乳杆菌(Lactobacillus acetotolerans)、棒状腐败乳杆菌(Loigolactobacillus coryniformis)、短促生乳杆菌(Levilactobacillus brevis)和屎肠球菌(Enterococcus faecium)构成,平均相对含量分别为28.01%、25.50%、9.45%、2.49%、1.83%、1.53%和1.33%;采用纯培养技术,分离出的49株细菌被鉴定为6个属下的11个种,其中枯草芽孢杆菌(Bacillus subtilis)、破布子联合乳杆菌(Ligilactobacillus pobuzihii)、蛋白原酶腐败乳杆菌(Loigolactobacillus rennini)和L.acidipiscis分离株占总分离株数的39.22%、19.61%、11.76%和9.80%,分离出的2株酵母菌均被鉴定为扣囊复膜酵母(Saccharomycopsis fibuligera);产气验证实验发现,所有分离株均不能单独引起生抽酱油的胀袋现象。由此可见,胀袋生抽酱油具有较高的微生物多样性,在后续研究引入培养组学策略以获得更多的分离株,亦或考虑多菌株的协同作用,对酱油涨袋这一产业问题的解决可能具有积极的意义。

酱油发酵基料酱油酮的提取及分析检测方法研究

选用二氯甲烷、无水乙醇、无水乙醚为提取的有机溶剂,从5种酱油发酵基料中提取酱油酮后,用高效液相色谱法检测不同原料中酱油酮的含量。实验结果表明,高效液相色谱仪检测酱油酮的最佳液相条件为:甲醇∶水=30∶70;流速1 mL/min。从酱油发酵基料中提取酱油酮的最佳有机溶剂为二氯甲烷,其次是无水乙醇和乙醚。以萃取效果最佳的二氯甲烷为例,经过低温连续相变之后的基料,油中酱油酮的浓度对比原渣由11.190增加到91.653 mg/kg,说明原渣经过低温连续相变萃取后,酱油酮得到富集。而脱脂渣经过乙醇浓缩后,浓缩醇提物的酱油酮浓度对比醇提渣由5.134增加到27.959 mg/kg,说明经过乙醇浓缩后酱油酮进行了富集。

市售酱油产品生物胺含量的检测与食用安全性分析

为了揭示酱油中生物胺存在种类和水平,该研究采用丹磺酰氯柱前衍生结合高效液相色谱法对我国市售的9个品牌57种(生抽41种和老抽16种)酱油中的生物胺含量进行了分析。结果表明,酱油中苯乙胺、腐胺、组胺、酪胺是我国市售酱油中的主要生物胺成分。生抽酱油中的总胺大部分在127.86~1273.40 mg/L,其中组胺和酪胺的含量范围分别在10.82~368.91 mg/L和0~582.77 mg/L之间。老抽酱油中总生物胺的含量分布范围为200.54~904.61 mg/L,组胺与酪胺的含量范围分别为35.07~302.35 mg/L和38.75~479.61 mg/L。风险评估分析结果表明,生抽和老抽酱油中组胺和酪胺的急性风险指数H分别为7.69%、1.99%和2.10%、0.55%,均远低于100%,且两者的慢性风险指数E值较小,范围在0.15%~1.65%之间。另外,生抽和老抽的食品安全指数(IFS)在0.001~0.016之间,远低于1。该研究表明由食用酱油中引入的组胺和酪胺对人体健康无明显的负面危害,我国市售酱油食用安全性相对较高。

传统手工业类活态遗产的整体保护与活态传承—以“先市酱油酿造作坊群”为例

位于四川省合江县先市镇的“先市酱油酿造作坊群”是“传统手工业类活态遗产”的典型代表。通过对“先市酱油酿造作坊群”的详细调查与持续跟踪,分析其“物质与非物质遗产结合、人与自然长期互动、持续演进”等典型特征,提炼出“中华民族创造美好生活的见证、中国古代酱油酿造技艺的代表、西南山区酿造作坊类文化景观”的核心价值,总结了“先市酱油酿造作坊群”在整体保护与活态传承中的经验,分析了保护与传承中“变”与“不变”的遗产价值要素。

传统酿造酱及酱油中微生物酶系研究进展

酿造调味品是我国传统食品中重要的一类,其发酵过程主要依赖于微生物的生命运动,微生物及代谢酶的相互作用赋予了发酵食品独特的风味和风格。文章从传统豆酱及酱油的酿造工艺、酿造主要微生物、微生物酶系的功能特性、国内外发展趋势等方面进行论述。同时,分析并展望了微生物酶在食品工业中的应用前景,旨为生产营养、健康、美味的传统发酵食品提供理论依据。

6种武陵酱香型白酒中挥发性含硫化合物差异分析

挥发性含硫化合物由于具有香气特征强、阈值低的特点,对食品风味具有十分重要的影响。然而大多数挥发性含硫化合物在食品中的含量低于气相色谱-质谱联用(G C-MS)分析技术的检出限,难以被鉴定和识别。酱香型是我国白酒的主要香型,产于湖南的武陵酱香型白酒是酱香型白酒的重要代表之一。为深入探究我国酱香型白酒中重要的痕量挥发性含硫化合物的组成,研究采用顶空固相微萃取结合全二维气相色谱-硫化学发光检测(GC×G C-SCD)技术,以6种不同类型武陵酱香型白酒为研究对象,对其中的含硫化合物进行了分析。研究共定性鉴定出27种含硫化合物,其中共有含硫化合物19种,非共有含硫化合物8种,主要包括4种硫醇、6种硫酯、5种多硫醚、5种噻唑、6种噻吩、1种噻烷;对其中信噪比大于100的23种含硫化合物,采用外标曲线法进行了定量分析。依据定量分析结果,采用主成分分析和正交偏最小二乘判别分析,研究确定了6种不同类型武陵酱香型白酒中挥发性含硫化合物含量的差异;14种变量投影值大于1的含硫化合物,可作为区分6种不同类型武陵酱香型白酒风味特征的差异组分。希望研究可为酱香型白酒的调配提供数据参考,为白酒企业调控生产过程、提高产品质量提供帮助。

产愈创木酚菌株筛选及其在酱油酿造中的应用

从日式高盐稀态发酵酱油酱醪中分离获得一株能转化阿魏酸(ferulic acid,FA)生成4-乙烯基愈创木酚(4-vinylguaiacol,4-VG)和4-乙基愈创木酚(4-ethylguaiacol,4-EG)的酵母菌株JLY60-1,通过ITS rDNA测序和同源序列检索分析鉴定为Wickerhamiella versatilis,其最适生长温度为30℃,在20%盐浓度下培养15 d,发酵液中的4-EG浓度最高,达13.6 mg/L。在传统酱油酿造过程中强化菌株JLY60-1,采用高效液相色谱法和离子迁移色谱法测定不同发酵酱醪中酚酸及挥发性风味组分的含量,结果表明,菌株JLY60-1可以高效转化酱醪中的FA生成4-VG和4-EG,发酵30 d的酱油中4-VG和4-EG含量分别达到16.5,30.5 mg/L,对照组含量分别为1.83,3.03 mg/L。同时,强化菌株JLY60-1还提高了酱油中醛类、酮类芳香化合物的含量,丰富了酱油香气,对改善和提升酱油品质具有重要实用价值。

酱油酿造过程中微生物及生物酶的研究进展

酱油是以大豆或豆粕、小麦粉或麸皮为原料,依靠微生物发酵而生产的一种液态调味品。在发酵过程中,微生物对原料中的蛋白、淀粉等营养物质进行分解,此过程起主导作用的是微生物所分泌产生的生物酶。当前国产酱油采用米曲霉沪酿3.042(Aspergillus oryzae 3.042)进行发酵,利用其产生的碱性和中性蛋白酶把原料中的蛋白分解为氨基酸和多肽,为酱油提供以鲜味为主的多种滋味,但仅以米曲霉单菌种酿造的酱油存在原料利用率低、风味相对差等问题。随着消费者对酱油品质要求的提高,学术界和生产企业正在通过微生物诱变、多菌种发酵、生物酶制剂应用等多种方式改善发酵过程中生物酶的种类和活性,以进一步提升酿造酱油的品质。该文重点综述了酱油酿造过程中的关键微生物、生物酶及其研究进展和在酱油中的应用,以期对利用微生物、生物酶制剂提升酱油品质提供理论指导。

玉米发酵酱粉风味化合物分析及增鲜应用研究

玉米发酵酱粉是以玉米和食用盐为主要原料,经专用菌种发酵等工艺制成的一种具有增鲜、增香作用的发酵产品,其在食品中可提供鲜味和咸味。多种挥发性及非挥发性化合物共同决定了其风味特性,因此该文采用固相微萃取(solid phase micro-extraction,SPME)与GC-MS联用以及HPLC技术对市场上的一种玉米发酵酱粉中挥发性化合物和非挥发性化合物(游离氨基酸和5′-核苷酸)进行定量分析,并对玉米发酵酱粉在酱油中的增鲜应用特性进行研究。结果表明玉米发酵酱粉具有丰富的风味特性。共检测到34种挥发性化合物,其中12种挥发性化合物的气味活性值(odor activity value,OAV)≥1。非挥发性化合物中部分氨基酸和5′-核苷酸对酱粉中的鲜味具有贡献,例如丙氨酸(Ala)等氨基酸可为酱粉提供甜味,精氨酸(Arg)等氨基酸提供苦味。结合正交试验和感官评价发现,添加白砂糖(12%)、玉米发酵酱粉(5%)及酵母抽提物(1%)后调配得到酱油的感官评价最佳,可为增加酱油原油鲜味和甜味,同时抑制其苦涩味。该研究可为玉米发酵酱粉的风味研究及在其他调味品的深层次应用提供理论支撑。

谷氨酰胺酶在10 t规模酱油发酵中应用研究

鲜味是反映酿造酱油品质的一项重要指标。谷氨酰胺酶可以催化谷氨酰胺生成谷氨酸和γ-谷氨酰肽,从而提高酱油的鲜味。文章研究了在10 t规模酱油发酵过程中添加谷氨酰胺酶对酱油中谷氨酸、谷氨酰胺、γ-谷氨酰肽、氨基酸态氮和全氮等指标的影响,并对添加谷氨酰胺酶的酱油进行了HS-SPME-GC-MS分析和感官评定。结果表明,添加谷氨酰胺酶可明显提高酱油原油的谷氨酸含量、氨基酸态氮含量、全氮含量并调节γ-谷氨酰肽的种类及含量。添加谷氨酰胺酶对酱油原油的pH值和总酸含量有小幅度影响。HS-SPME-GC-MS分析表明,添加谷氨酰胺酶的酱油的挥发性风味物质发生了一定变化,醇类、醛类、酮类化合物的种类和含量都有所增加,使酱油的滋味和气味更加丰富。感官评价显示添加谷氨酰胺酶可较大幅度提升酱油的鲜味强度,小幅度减弱酱油的苦味和增加酱油的酸味,对咸味、甜味的影响较小。该研究结果为谷氨酰胺酶在酱油酿造中的应用提供了理论支持。