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基于HPLC指纹图谱与电子鼻技术的海珠肉不同加工工艺品质评价

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中草药 | 海洋中药研究 2026,57(14): 5442-5458

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中草药 |海洋中药研究 2026 , 57 (14) : 5442 -5458

基于HPLC指纹图谱与电子鼻技术的海珠肉不同加工工艺品质评价

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周改莲^1,2, 潘红梅¹, 蔡泽炼¹, 李龙³, 罗雨淅³, 邓家刚^2,4, 侯小涛^1,2,4

作者信息

通讯作者:

邓家刚

作者简介:

周改莲: 周改莲（1981—），女，教授，硕士生导师，博士，研究方向为中药质量标准与炮制机制研究。E-mail:zhgllhw@126.com 潘红梅: 潘红梅（1998—），女，硕士研究生，研究方向为中药炮制与饮片质量标准研究。E-mail:1841433119@qq.com

Quality evaluation of Pteria fucata with different processing techniques based on HPLC fingerprint and electronic nose technology

ZHOU Gailian, PAN Hongmei, CAI Zelian, LI Long, LUO Yuxi, DENG Jiagang, HOU Xiaotao

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doi: 10.7501/j.issn.0253-2670.2026.14.007

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摘要

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目的建立海珠肉Pteria fucata的HPLC指纹图谱及多指标成分含量测定方法，结合化学计量学与电子鼻技术，系统评价不同加工方式与品质状态对其主要化学成分及气味特征的影响，并通过相关性分析揭示化学标志物与电子鼻响应之间的关联，从而多维度综合评价海珠肉的质量。方法采用HPLC法建立海珠肉的化学指纹图谱，并定量测定谷氨酸、甘氨酸、牛磺酸及丙氨酸的含量。运用聚类分析（cluster analysis，CA）与主成分分析（principal component analysis，PCA）等化学计量学方法，综合评价不同样品间的化学差异。利用电子鼻采集样品的嗅觉信息，并通过Pearson相关性分析，构建化学成分与气味响应之间的关联模型，系统比较不同加工方式和品质状态样品的差异。结果建立了海珠肉HPLC指纹图谱，共指认出4个共有峰，分别为牛磺酸、谷氨酸、甘氨酸与丙氨酸。其中，1、9、11、12号峰可用于区别鲜品微波（XW）和腐败品微波（FW）2种不同加工工艺；48个不同加工工艺及品质状态海珠肉样品的化学指纹图谱相似度在0.793～1.000，所建立的指纹图谱方法专属性良好，可区分不同品质海珠肉加工方式样品，用于海珠肉质量控制与评价。CA和PCA结果显示，不同品质加工工艺海珠肉样品有一定差异。含量测定表明，鲜品烘干（XH）工艺对多指标成分保留最优；电子鼻检测能有效区分不同品质及各加工方式样品，相关性分析揭示了谷氨酸与检测烷烃类及有机挥发物敏感的电子鼻传感器（通道）1、2、4呈显著正相关（P＜0.05），可作为与电子鼻响应信号关联的核心特征成分。结论首次将HPLC指纹图谱、多指标含量测定与电子鼻技术联用，成功建立了一套稳定、可靠的综合品质评价方法体系。该方法体系具有良好的重复性与区分能力，能够从化学组成与挥发性气味2方面，实现对海珠肉品质特别是其新鲜与腐败状态的有效鉴别与综合评价。“鲜品烘干”工艺能最大程度保留谷氨酸等特征氨基酸成分，并维持良好的气味稳定性，是兼顾成分保留与品质控制的较优加工方式。

关键词

海珠肉 / HPLC / 指纹图谱 / 电子鼻 / 化学计量学 / 加工方式 / 品质评价 / 牛磺酸 / 谷氨酸 / 甘氨酸 / 丙氨酸

Abstract

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Objective To establish an HPLC fingerprint profile and multi-indicator component quantification method for Pteria fucata (PF), and systematically evaluate the effects of different processing methods by combining chemometrics and electronic nose technology, and quality states on its main chemical components and odor characteristics. Additionally, correlation analysis was conducted to reveal the relationships between chemical markers and electronic nose responses, enabling a multidimensional comprehensive evaluation of PF quality. Methods HPLC was used to establish the chemical fingerprint profile of PF, and the contents of glutamic acid, glycine, taurine, and alanine were quantitatively determined. Chemometric methods, including cluster analysis (CA) and principal component analysis (PCA), were applied to evaluate chemical differences among different samples. An electronic nose was employed to capture olfactory information, and Pearson correlation analysis was used to construct a model linking chemical components with odor responses. Differences among samples processed by various methods and quality states were systematically compared. Results An HPLC fingerprint profile of PF was established, identifying four common peaks corresponding to taurine, glutamic acid, glycine, and alanine. Peaks 1, 9, 11, and 12 could distinguish between fresh PF microwave (XW) and spoiled PF microwave (FW) processing methods. The similarity of chemical fingerprints among 48 samples with different processing methods and quality states ranged from 0.793 to 1.000. The established fingerprint method demonstrated good specificity and could differentiate samples of varying quality and processing methods, providing a reliable tool for quality control and evaluation. CA and PCA results indicated certain differences among PF samples of varying quality and processing methods. Quantitative analysis showed that the fresh PF drying (XH) process best preserved multiple indicator components. Electronic nose detection effectively distinguished samples of different quality and processing methods. Correlation analysis revealed that glutamic acid was significantly positively correlated (P < 0.05) with electronic nose channels 1, 2, and 4, which are sensitive to alkanes and organic volatile compounds, indicating its potential as a core feature component linked to electronic nose responses. Conclusion This study is the first to combine HPLC fingerprinting, multi-indicator component quantification, and electronic nose technology to establish a stable and reliable comprehensive quality evaluation system for PF. The method exhibits good repeatability and discriminative ability, enabling effective assessment of PF quality in terms of chemical composition and volatile odor characteristics, particularly distinguishing fresh from spoiled states. The fresh PF drying (XH) process maximizes the retention of key amino acids such as glutamic acid while maintaining odor stability, making it a superior processing method balancing component preservation and quality control.

Key words

Pteria fucata (Dunker) / HPLC / fingerprint / electronic nose / chemometrics / processing method / quality evaluation / taurine / glutamic acid / glycine / alanine

引用本文

周改莲, 潘红梅, 蔡泽炼, 李龙, 罗雨淅, 邓家刚, 侯小涛. 基于HPLC指纹图谱与电子鼻技术的海珠肉不同加工工艺品质评价. 中草药, 2026 , 57 (14) : 5442 -5458 . DOI: 10.7501/j.issn.0253-2670.2026.14.007

ZHOU Gailian, PAN Hongmei, CAI Zelian, LI Long, LUO Yuxi, DENG Jiagang, HOU Xiaotao. Quality evaluation of Pteria fucata with different processing techniques based on HPLC fingerprint and electronic nose technology[J]. Chinese Traditional and Herbal Drugs, 2026 , 57 (14) : 5442 -5458 . DOI: 10.7501/j.issn.0253-2670.2026.14.007

基金

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“尖峰”行动计划 (广西重大专项计划); 广西高峰学科中医学 (中药学); 广西中药药效研究重点实验室项目 (桂科计字〔2005〕6号); 广西壮族自治区高校黄大年式教师团队“中药学传承创新教师团队” (桂教教师[2023]31号)

参考文献

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文献

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参考文献引证文献

排序方式：

中国药典[S]. 一部. 2025: 1021.
广西海洋中药材标准[S]. 2025: 26.
广西壮族自治区卫生厅. 广西中药材标准第二册[M]. 南宁: 广西科学技术出版社, 1996: 170-171.
吴燕燕, 李来好, 陈培基, 等. 马氏珍珠贝肉营养液的研制及营养评价[J]. 上海水产大学学报, 2000, 9(4): 313-318.
曹占旺. 两个南珠养殖区马氏珠母贝养殖容量及环境状况的研究分析[D]. 南宁: 广西大学, 2011.
高加龙, 章超桦, 刘书成, 等. 邻苯二甲醛柱前衍生高效液相色谱法测定马氏珠母贝中牛磺酸含量[J]. 广东海洋大学学报, 2007, 27(1): 55-58.
田淑琳, 周文红, 刘小玲, 等. 基于GC-O-MS和ROAV法的马氏珍珠贝挥发性风味成分及腥味特征物质分析[J]. 大连海洋大学学报, 2019, 34(4): 573-579.
刁石强, 李来好, 陈培基, 等. 马氏珍珠贝肉风味食品开发研究[J]. 湛江海洋大学学报, 1999, 19(2): 34-39.
程介虹. 基于高光谱成像及电子鼻技术的冻藏猪肉品质检测方法研究[D]. 镇江: 江苏大学, 2024.
汤楚涵. 基于电子鼻和组学技术的小龙虾新鲜度研究[D]. 无锡: 江南大学, 2023.
吴靖娜, 路海霞, 刘智禹, 等. 用电子鼻和SPME-GC-MS分析鲍鱼熟制前后挥发性风味物质的变化[J]. 大连海洋大学学报, 2016(4): 431-437.
陈尊旭, 肖雯丽, 梁浩斌, 等. 基于电子鼻和GC-MS分析不同干燥方式香蕉果干的风味品质差异及判别预测模型建立[J]. 现代食品科技, 2026, 42(5): 322-335.
付莉, 王小燕, 夏杰, 等. 基于电子鼻和HS-GC-MS技术分析不同炮制程度阿胶珠挥发性成分差异[J]. 中草药, 2025, 56(22): 8102-8112.
Daszykowski M, Walczak B, Massart D L. Representative subset selection [J]. Anal Chim Acta, 2002, 468(1): 91-103.
Hollmann N, Müller S, Purucker L, et al. Accurate predictions on small data with a tabular foundation model [J]. Nature, 2025, 637(8045): 319-326.
Liu P L, Lu X M, Li N Y, et al. Effects and mechanism of free amino acids on browning in the processing of black garlic [J]. J Sci Food Agric, 2019, 99(10): 4670-4676.
Mottram D S. Flavours and Fragrances: Chemistry, Bioprocessing and Sustainability [M]. Berlin, Heidelberg: Springer, 2007: 269-283.
方帆. 大米蛋白肽美拉德反应中间体制备及肉香风味形成研究[D]. 扬州: 扬州大学, 2024.
吴娜, 王锡昌, 陶宁萍, 等. 动物源食品中脂质氧化降解产物检测的研究进展[J]. 食品安全质量检测学报, 2014, 5(10): 3042-3046.

2026年第57卷第14期

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doi: 10.7501/j.issn.0253-2670.2026.14.007

接收时间：2026-04-02
首发时间：2026-09-10

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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