Optimization of Lactic Acid Bacteria Fermentation Process and Volatile Component Analysis of Suli Pear Juice

NIU Jiajia; ZHAO Biao; CUI Wei; GUO Chaofeng; XU Zhenyu; LU Yunfeng; MIAO Jianyin; ZHANG Sipu

doi:10.13386/j.issn1002-0306.2022080321

Volume 44 Issue 14

Jul. 2023

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Science and Technology of Food Industry > 2023 > 44(14): 171-181. > DOI: 10.13386/j.issn1002-0306.2022080321

NIU Jiajia, ZHAO Biao, CUI Wei, et al. Optimization of Lactic Acid Bacteria Fermentation Process and Volatile Component Analysis of Suli Pear Juice[J]. Science and Technology of Food Industry, 2023, 44(14): 171−181. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022080321.

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Optimization of Lactic Acid Bacteria Fermentation Process and Volatile Component Analysis of Suli Pear Juice

1.
Horticulture Research Institute of Henan Agricultural Science Academy, Zhengzhou 450002, China
2.
College of Horticulture, Henan Agricultural University, Zhengzhou 450002, China
3.
Agricultural Bureau of Ningling County, Shangqiu 476700, China
4.
College of Life Sciences and Agricultural Engineering, Nanyang Normal University, Nanyang 473061, China
5.
College of Food Science, South China Agricultural University, Guangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods, Guangzhou 510642, China

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Received Date: August 30, 2022
Available Online: May 14, 2023

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Abstract

Abstract

Taking Jinding Xiehua Suli pear from Ningling County as the main raw material, lactic acid bacteria suitable for fermentation of pear juice were screened. The fermentation technology of Suli pear juice with lactic acid bacteria was optimized by orthogonal test based on single-factor experiments and the volatile component of the Suli pear juice with lactic acid bacteria after optimization were analyzed dynamically. The results showed that the best fermentation conditions were as follows: Rhamnose Lactobacillus:Lactobacillus acidophilus:Bifidum lactobacillus lactis=1:1:1 (V/V), the initial pH was 4.5, the amount of lactic acid bacteria addition was 4%, the amount of sugar addition was 10%, and the fermentation time was 50 h. Under this condition, the V_C content was 14.17 mg/100 mL, the total acid content was 7.66 g/L, the total phenol content was 3.68 mg/mL, the total flavonoids content was 6.25 mg/mL, the DPPH free radical scavenging rate was 90.05%, and the sensory score was 80.60. The volatile components of Suli pear juice after 0, 30, 40 and 50 h fermentation were analyzed by the gas chromatography-mass spectrometry (GC-MS). A total of 55 volatile substances were detected. With the prolongation of fermentation time, the types and contents of volatile substances increased. There were 7 kinds of volatile components in the raw Suli pear juice, the volatile components of pear juice after 30 and 40 h fermentation were 27 kinds, and increased to 46 kinds of volatile components after 50 h fermentation when higher alcohols, higher esters and higher acids were produced in large quantities, which brought lactic acid bacteria the sour and sweet taste and unique flavor of Suli pear juice.
- Suli pear juice,
- lactic acid bacteria,
- optimization of fermentation process,
- volatile component,
- GC-MS

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References (45)

References

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[3]	PEI Fei, HAN Ping, WANG Jie, MA Ning, SU Anxiang, YANG Wenjian, HU Qiuhui. Simultaneous Determination of Major Antibiotics Veterinary Drug Residues in Pork by UHPLC-Q-TOF/MS[J]. Science and Technology of Food Industry, 2022, 43(10): 298-304. DOI: 10.13386/j.issn1002-0306.2021080169
[4]	YUAN Guangwei, WU Yi, WANG Haibo, MO Zimei, LIN Guangliao, JIANG Qiuxia. Determination of Eighteen Kinds of Free Amino Acids in Fruits by Ultra Performance Liquid Chromatography-Quadrupole-Exactive Orbitrap Mass Spectrometry[J]. Science and Technology of Food Industry, 2021, 42(5): 243-249. DOI: 10.13386/j.issn1002-0306.2020050015
[5]	YE Lin-yang, KANG Qin, LI Gang, MU Li. Extraction and Analysis of Volatile Aroma Components in Stinky Tofu by Gas-Liquid Microextraction and GC-MS[J]. Science and Technology of Food Industry, 2020, 41(12): 47-55. DOI: 10.13386/j.issn1002-0306.2020.12.008
[6]	GAO Ya-hui, LI Zi-jie. Optimization of analysis conditions of volatile compounds in human breast milk by SPME-GC-MS[J]. Science and Technology of Food Industry, 2018, 39(6): 199-203. DOI: 10.13386/j.issn1002-0306.2018.06.036
[7]	XIA Ning, SHI Yan-guo, Wu yong-qing, ZHANG Hua-jiang. Optimization of headspace solid phase microextraction conditions for GC-MS analysis of volatile components in soymilk[J]. Science and Technology of Food Industry, 2018, 39(1): 262-266. DOI: 10.13386/j.issn1002-0306.2018.01.047
[8]	CHEN Wei-ling, ZHONG Pei-pei, FAN Lin-lin, DING Hao-fu, HE Hong, WANG Yuan-xing. Analysis of volatile compounds in Cyclocarya paliurus leaves by SPME-GC-MS[J]. Science and Technology of Food Industry, 2016, (22): 52-58. DOI: 10.13386/j.issn1002-0306.2016.22.002
[9]	SHA Kun, LI Hai-peng, ZHANG Yang, DANG Xin, LANG Yu-miao, LIU Fei, SUN Bao-zhong. Analysis of volatile compounds in five Xinjiang dried beef by SPME- GS / MS[J]. Science and Technology of Food Industry, 2014, (21): 310-315. DOI: 10.13386/j.issn1002-0306.2014.21.058
[10]	XU Yong-xia, JIANG Cheng-cheng, ZHANG Chao-min, LV Yan-fang, ZHU Dan-shi, LI Jian-rong. Analysis of volatile components in Hairtail by SPME-GC-MS[J]. Science and Technology of Food Industry, 2014, (19): 308-311. DOI: 10.13386/j.issn1002-0306.2014.19.058