The Quality Changes of Two Fermented Sausages under Different Storage Temperatures and the Establishment of Prediction Models for Their Shelf Life

HUANG Yechuan; WANG Yang; GOU Xingneng; PENG Chunlei; ZHANG Xicai

doi:10.13386/j.issn1002-0306.2021070158

Volume 43 Issue 7

Mar. 2022

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Science and Technology of Food Industry > 2022 > 43(7): 343-351. > DOI: 10.13386/j.issn1002-0306.2021070158

HUANG Yechuan, WANG Yang, GOU Xingneng, et al. The Quality Changes of Two Fermented Sausages under Different Storage Temperatures and the Establishment of Prediction Models for Their Shelf Life[J]. Science and Technology of Food Industry, 2022, 43(7): 343−351. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021070158.

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The Quality Changes of Two Fermented Sausages under Different Storage Temperatures and the Establishment of Prediction Models for Their Shelf Life

1.
College of Bioengineering, Jingchu University of Technology, Jingmen 448000, China
2.
School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China

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Received Date: July 14, 2021
Available Online: February 11, 2022

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Abstract

Abstract

The quality changes of rose low-nitrate semi-dry fermented sausage (M) and traditional semi-dry fermented sausage (P) during storage at 3 temperatures (4, 25, 35 °C) were evaluated in this study. Then, the kinetic and the Arrhenius equation were used to establish the prediction models for the shelf life of fermented sausages. Studies had shown that temperature had a greater impact on the redness value and texture characteristics of the two groups of sausages. During storage, the acid value, total volatile basic nitrogen (TVB-N) value and total viable count (TVC) at each storage temperature increased with the storage time, and the higher temperature, the more obvious the change trend. The kinetic model was established with TVB-N value and TVC as the key factors, and combined with the Arrhenius equation, the shelf life prediction models of two fermented sausages were constructed. In the TVB-N and TVC prediction models of fermented sausage P, the activation energy E_a was 52.37 kJ/mol and 43.39 kJ/mol, respectively, and the pre-explicit factor K₀ was 69859734.72 and 8800494.34, respectively. In the TVB-N and TVC prediction models of fermented sausage M, the activation energy E_a was 46.46 kJ/mol and 43.53 kJ/mol, respectively, and the pre-exponential factor K₀ was 5373553.61 and 8016399.99, respectively. 4 ℃ and 30 ℃ were selected as the verification temperature to test the reliability of the shelf life prediction model. The results showed that the relative error between the theoretical and measured shelf life of the two fermented intestines was within 11.18%, and could be used for shelf life prediction in the temperature range of 4 to 35 ℃. In addition, the quality of fermented sausage M was better than that of fermented sausage P, and had a longer shelf life.
- rose,
- fermented sausage,
- nitrite,
- quality change,
- shelf life prediction model

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[1]	张晓东. 发酵香肠菌种的筛选及对香肠理化性质的影响[D]. 长沙: 湖南农业大学, 2017. ZHANG X D. Screening of bacteria in fermented sausage and its effects on physical and chemical properties of fermented sausage[D]. Changsha: Hunan Agricultural University, 2017.
[2]	HWANG K E, KIM T K, KIM H W, et al. Effect of natural pre-converted nitrite sources on color development in raw and cooked pork sausage[J]. Asian Australasian Journal of Animal Sciences,2018,31(8):1358−1365. doi: 10.5713/ajas.17.0767
[3]	DIDIER M, SOUAD C. Mechanisms of the bactericidal effects of nitrate and nitrite in cured meats[J]. Meat Science,2018,145:273−284. doi: 10.1016/j.meatsci.2018.06.013
[4]	邱怡筠, 都芸, 左惠君. 亚硝酸盐对肉制品的抗氧化及抑制微生物的作用[J]. 中国饲料,2020(16):9−12. [QIU Y J, DU Y, ZUO H J. Nitrite's anti-oxidation and anti-microbial effect on meat products[J]. China Feed,2020(16):9−12.
[5]	OZAKI M M, SANTOS M D, RIBEIRO W O, et al. Radish powder and oregano essential oil as nitrite substitutes in fermented cooked sausages[J]. Food Research International,2021,140:109855. doi: 10.1016/j.foodres.2020.109855
[6]	HUANG L, ZENG X, SUN Z, et al. Production of a safe cured meat with low residual nitrite using nitrite substitutes[J]. Meat Science,2020,162:1−9.
[7]	胡开群, 汪超, 李冬生, 等. 发酵香肠中亚硝酸盐的控制及代替品研究进展[J]. 食品工业,2017,38(4):241−245. [HU K Q, WANG C, LI D S, et al. Review on control and substitute for nitrite in fermented sausage[J]. The Food Industry,2017,38(4):241−245.
[8]	ALIREZALU K, HESARI J, YAGHOUBI M, et al. Combined effects of ε-polylysine and ε-polylysine nanoparticles with plant extracts on the shelf life and quality characteristics of frankfurter-type sausages[J]. Meat Science,2021,172:108318. doi: 10.1016/j.meatsci.2020.108318
[9]	OZAKI M M, MUNEKATA P E S, JACINTO-VALDERRAMA R A, et al. Beetroot and radish powders as natural nitrite source for fermented dry sausages[J]. Meat Science,2021,171:108275. doi: 10.1016/j.meatsci.2020.108275
[10]	王洋, 黄业传, 柴利. 玫瑰对半干发酵肠中亚硝酸盐替代效果的研究[J]. 食品与发酵工业,2021,47(13):219−225. [WANG Y, HUANG Y C, CHAI L. The effect of substituting nitrite with rose extract on the quality of semi-dried fermented sausage[J]. Food and Fermentation Industries,2021,47(13):219−225.
[11]	LABUZA T P, HYMAN C R. Moisture migration and control in multi-domain foods[J]. Trends in Food Science & Technology,1998,9(2):47−55.
[12]	张建友, 赵瑜亮, 张梦雨, 等. 不同贮藏温度酱鸭品质变化及其货架期预测[J]. 食品科学,2019,40(5):250−257. [ZHANG J Y, ZHAO Y L, ZHANG M Y, et al. Quality changes and predictive modeling of shelf life of sauced duck stored at different temperatures[J]. Food Science,2019,40(5):250−257. doi: 10.7506/spkx1002-6630-20180102-018
[13]	王强. 香肠脂肪氧化动力学特性及温度对其影响研究[J]. 食品科学,2013,34(11):130−133. [WANG Q. Kinetic charateristics of lipid oxidation in sausages as affected by temperature[J]. Food Science,2013,34(11):130−133. doi: 10.7506/spkx1002-6630-201311029
[14]	TORRIERI E, RUSSO F, MONACO R D, et al. Shelf life prediction of fresh Italian pork sausage modified atmosphere packed[J]. Food Science and Technology International,2011,17(3):223−232. doi: 10.1177/1082013210382328
[15]	GEN I Y, DILER A. Development of shelf life prediction model in rainbow trout stored at different temperatures[J]. Journal of Aquatic Food Product Technology,2019,28(3):1−10.
[16]	NURHAYATI R, NH E R, SUSANTO A, et al. Shelf life prediction for canned gudeg using accelerated shelf life testing (ASLT) based on Arrhenius method[J]. Iop Conference,2017,193(1):012025.
[17]	钱峰, 李超. 铁观音茶多酚对鸭肉发酵香肠抗氧化性作用的研究[J]. 食品工业,2015,36(2):33−35. [QIAN F, LI C. Antioxidant effect of Tieguanyin tea polyphenols on duck fermented sausage[J]. The Food Industry,2015,36(2):33−35.
[18]	贺雪华, 李林, 白登荣, 等. 改进型城口腊肉贮藏过程中的品质变化及货架期预测[J]. 食品科学,2017,38(11):249−255. [HE X H, LI L, BAI D R, et al. Quality variations and shelf life prediction of Chinese traditional bacon stored at different temperatures[J]. Food Science,2017,38(11):249−255. doi: 10.7506/spkx1002-6630-201711040
[19]	范文教, 易宇文, 贾洪锋, 等. 动力学模型预测川味发酵香肠货架期的研究[J]. 食品科学,2013,34(20):334−337. [FAN W J, YI Y W, JIA H F, et al. Shelf life prediction of Sichuan-type sausage through kinetic models[J]. Food Science,2013,34(20):334−337.
[20]	朱宏星, 孙冲, 王道营, 等. 肌红蛋白理化性质及肉色劣变影响因素研究进展[J]. 肉类研究,2019,33(6):55−63. [ZHU H X, SUN C, WANG D Y, et al. Progress in the physicochemical properties of myoglobin and factors influencing meat color stability[J]. Meat Research,2019,33(6):55−63.
[21]	MATHEUS H M D A, PRISCILLA E. Alginate/pectin cold-set gelation as a potential sustainable method for jelly candy production[J]. LWT-Food Science and Technology,2020,123(1):109119.
[22]	张素燕. 芥末粉部分替代亚硝酸盐对低温乳化肠品质影响的研究[D]. 呼和浩特: 内蒙古农业大学, 2017. ZHANG S Y. Effect of mustard powder as a nitrite substitute on the quality of low temperature emulsified sausage[D]. Huhehaote: Inner Mongolia Agricultural University, 2017.
[23]	李宇辉, 王俊钢, 刘成江, 等. 不同温度处理的风干牛肉贮藏过程中脂肪变化[J]. 食品科学,2019,40(13):14−21. [LI Y H, WANG J G, LIU C J, et al. Effect of drying temperature on fatty acid composition in air-dried beef during chilled storage[J]. Food Science,2019,40(13):14−21. doi: 10.7506/spkx1002-6630-20180812-103
[24]	裴亚萍, 成少宁, 许先猛, 等. 几种多酚类物质用于延长花生牛轧糖货架期的对比研究[J]. 食品工程,2021(1):34−37. [PEI Y P, CHENG S N, XU X M, et al. A comparative study of several polyphenols used to prolong the shelf life of peanut nougat[J]. Food Engineering,2021(1):34−37. doi: 10.3969/j.issn.1673-6044.2021.01.010
[25]	胡云峰, 王雅迪, 唐裕轩. 猪肉糜在贮藏过程中的变化规律及新鲜度快速测定方法的研究[J]. 食品研究与开发,2018,39(15):178−182. [HU Y F, WANG Y D, TANG Y X. Research on the change law of pork chyle during storage and the method forrapid determination of freshness[J]. Food Research and Development,2018,39(15):178−182. doi: 10.3969/j.issn.1005-6521.2018.15.034
[26]	徐艳, 丰震, 赵兰勇. 玫瑰鲜花抑菌能力的品种差异及动态变化研究[J]. 北方园艺,2012(10):78−81. [XU Y, FENG Z, ZHAO L Y. Study on variety differences and dynamic changes of antibacterial ability of rose flowers[J]. Northern Horticulture,2012(10):78−81.
[27]	郇延军, 许伟, 赵雅娟, 等. 冷鲜肉品质评价指标的探讨[J]. 食品科学,2012,33(21):107−110. [XUN Y J, XU W, ZHAO Y J, et al. Potential biochemical parameters for quality evaluation of chilled fresh pork[J]. Food Science,2012,33(21):107−110.
[28]	刘嘉, 赵庆年, 曾庆琪. 玫瑰花的化学成分及药理作用研究进展[J]. 食品与药品,2019,21(4):328−332. [LIU J, ZHAO Q N, ZENG Q Q. Advances in chemical constituents and pharmacological activities of roses[J]. Food and Drug,2019,21(4):328−332. doi: 10.3969/j.issn.1672-979X.2019.04.018
[29]	周小琦, 方敏, 宫智勇. 玫瑰花中总黄酮提取工艺及其抗氧化与抑菌作用的研究[J]. 食品科学,2010,31(20):102−105. [ZHOU X Q, FANG M, GONG Z Y. Extraction, antioxidant activity and antibacterial effect of total flavonoids from rose flowers[J]. Food Science,2010,31(20):102−105.
[30]	杨正青, 薛文昊, 苗延青. 玫瑰精油的提取及抑菌活性研究[J]. 广东化工,2019,46(5):28−29. [YANG Z Q, XUE W H, MIAO Y Q. Study on extraction and antibacterial activity of rose essential oil[J]. Guangdong Chemical Industry,2019,46(5):28−29. doi: 10.3969/j.issn.1007-1865.2019.05.014
[31]	LEI Y, LUO Y, SUN Y, et al. Establishment of kinetic models based on electrical conductivity and freshness indictors for the forecasting of crucian carp (Carassius carassius) freshness[J]. Journal of Food Engineering,2011,107(2):147−151. doi: 10.1016/j.jfoodeng.2011.06.034
[32]	谢晶, 张利平, 苏辉, 等. 上海青蔬菜的品质变化动力学模型及货架期预测[J]. 农业工程学报,2013,29(15):271−278. [XIE J, ZHANG L k, SU H, et al. Quality kinetic model and shelf life prediction of green vegetable(Brassica rapavar.chinensis)[J]. Transactions of the Chinese Society of Agricultural Engineering,2013,29(15):271−278. doi: 10.3969/j.issn.1002-6819.2013.15.033

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Science and Technology of Food Industry

The Quality Changes of Two Fermented Sausages under Different Storage Temperatures and the Establishment of Prediction Models for Their Shelf Life

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