食品科学 ›› 2026, Vol. 47 ›› Issue (4): 49-57.doi: 10.7506/spkx1002-6630-20250515-088

• 基础研究 • 上一篇    下一篇

毛竹笋蒸煮液中鲜味肽的分离鉴定及其呈味特性

步婷婷,周叶熹,孔晓,黄镇宇,操雪兰,项雯,杨开,蔡铭,杨慧敏,孙培龙   

  1. (1.浙江工业大学食品科学与工程学院,浙江 杭州 310014;2.澳门大学中华医药研究院,中药机制与质量全国重点实验室,中国 澳门 999078;3.龙游外贸笋厂有限公司,浙江 衢州 324400;4.国家林业和草原局竹子研究开发中心,浙江 杭州 310012;5.竹林生态与资源利用国家林业和草原局重点实验室,浙江 杭州 310012)
  • 出版日期:2026-02-25 发布日期:2026-03-16
  • 基金资助:
    浙江省自然科学基金项目(LTGN23C200001); 浙江省省属科研院所扶持专项(笋竹生态材料创新研发与高值化利用关键技术研究); 国家自然科学基金青年科学基金项目(32202042)

Purification, Identification, and Taste Characterization of Umami Peptides from Cooking Broth of Moso Bamboo Shoots

BU Tingting, ZHOU Yexi, KONG Xiao, HUANG Zhenyu, CAO Xuelan, XIANG Wen, YANG Kai, CAI Ming, YANG Huimin, SUN Peilong   

  1. (1. College of Food Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China; 2. The State Key Laboratory of Mechanism and Quality of Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China; 3. Longyou International Trade Bamboo Shoots Co. Ltd., Quzhou 324400, China; 4. China National Bamboo Research Center, Hangzhou 310012, China; 5. Key Laboratory of State Forestry and Grassland Administration on Bamboo Forest Ecology and Resource Utilization, Hangzhou 310012, China)
  • Online:2026-02-25 Published:2026-03-16

摘要: 为促进毛竹笋加工过程中蒸煮液副产物的开发利用,本研究采用蛋白纯化技术对毛竹笋蒸煮液中的鲜味肽进行分离纯化,比较各组分的多肽分子质量分布和氨基酸组成差异,利用感官评价和电子舌技术筛选鲜味最突出的组分,采用纳米液相色谱-串联质谱(nano-high performance liquid chromatography-tandem mass spectrometry,Nano-HPLC-MS/MS)分析鉴定其中的氨基酸序列,继而通过分子对接技术模拟毛竹笋鲜味肽与鲜味味觉受体1型成员1(taste receptor type member 1,T1R1)/味觉受体1型成员3(taste receptor type member 3,T1R3)的结合能力,最后对候选毛竹笋鲜味肽进行固相合成,通过感官评价测定其呈味阈值,验证毛竹笋肽的鲜味特征。结果表明,毛竹笋蒸煮液中分子质量小于3.5 kDa的组分占比达94.81%,采用阳离子交换色谱纯化获得4 个组分,分析发现F4组分鲜味强度最高且无不良风味;利用Nano-HPLC-MS/MS从F4组分中鉴定和筛选出18 条毛竹笋特征肽段;进一步通过分子对接技术筛选出6 条与鲜味受体T1R1/T1R3结合能较强的候选毛竹笋鲜味肽,其中,毛竹笋九肽DAAEPWQLG与T1R1/T1R3具有最低结合能,感官评价验证其呈鲜阈值为0.49 mmol/L,具有高效增鲜潜力。综上,本研究可为毛竹笋蒸煮加工副产物附加值提升提供理论依据,并为天然竹笋基鲜味调味品开发提供技术基础。

关键词: 毛竹笋;加工副产物;鲜味肽;质谱鉴定;分子对接

Abstract: In order to enhance the comprehensive utilization of the cooking broth of Moso bamboo (Phyllostachys edulis) shoots (MSCB), a byproduct of bamboo shoot processing, this study employed protein purification technology to isolate and purify umami peptides from MSCB. The molecular mass distribution and amino acid composition of the peptides obtained were compared. Sensory evaluation and electronic tongue technology were used to screen for the most intense umami fraction, and nano-high performance liquid chromatography-tandem mass spectrometry (Nano-HPLC-MS/MS) was subsequently employed to identify the peptide sequences. Then, molecular docking was used to simulate the binding affinity of bamboo shoot peptides with the umami receptor taste receptor type member 1 (T1R1)/taste receptor type member 3 (T1R3). Finally, the candidate umami peptides were synthesized by a solid-phase method, and their taste thresholds were determined through sensory evaluation to validate their umami taste characteristics. The results showed that the proportion of fractions with a molecular mass below 3.5 kDa in MSCB was 94.81%. Four purified fractions (F1–F4) were obtained through cation exchange chromatography. Among these, F4 exhibited the highest umami intensity and no undesirable flavor. Eighteen characteristic peptides were identified from F4 using Nano-HPLC-MS/MS. Furthermore, six umami peptides with stronger binding energy to the taste receptor T1R1/T1R3 were further selected through molecular docking simulation. Among them, the nonapeptide DAAEPWQLG exhibited the lowest binding energy to T1R1/T1R3, and sensory evaluation confirmed its umami threshold to be 0.49 mmol/L, indicating high-efficiency umami-enhancing potential. This study provides a theoretical basis for enhancing the value-added utilization of Moso bamboo shoot cooking by-products and lays a technical foundation for the development of natural bamboo shoot-based umami seasonings.

Key words: Moso bamboo shoots; processing by-products; umami peptides; mass spectrometry identification; molecular docking

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