Article(id=1151437197111603501, tenantId=1146029695717560320, journalId=1149652044408987649, issueId=1151437189243089177, articleNumber=null, orderNo=null, doi=10.19812/j.cnki.jfsq11-5956/ts.20250102001, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1735747200000, receivedDateStr=2025-01-02, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1752453620459, onlineDateStr=2025-07-14, pubDate=1749916800000, pubDateStr=2025-06-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1752453620459, onlineIssueDateStr=2025-07-14, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1752453620459, creator=13701087609, updateTime=1752453620459, updator=13701087609, issue=Issue{id=1151437189243089177, tenantId=1146029695717560320, journalId=1149652044408987649, year='2025', volume='16', issue='11', pageStart='1', pageEnd='320', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1752453618584, creator=13701087609, updateTime=1767768054466, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1215670588966883492, tenantId=1146029695717560320, journalId=1149652044408987649, issueId=1151437189243089177, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1215670588966883493, tenantId=1146029695717560320, journalId=1149652044408987649, issueId=1151437189243089177, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=200, endPage=206, ext={EN=ArticleExt(id=1151895321451262484, articleId=1151437197111603501, tenantId=1146029695717560320, journalId=1149652044408987649, language=EN, title=Research progress on the origin tracing and authenticity identification of domestic Oryza sativa, columnId=1151895321388347923, journalTitle=Journal of Food Safety & Quality, columnName=Food Analysis and Detection, runingTitle=null, highlight=null, articleAbstract=

The traceability of grain origins and authenticity identification have garnered increasing attention from consumers. In recent years, significant progress has been made in research on Oryza sativa origin traceability and authenticity identification, encompassing technologies such as stable isotope analysis, mineral element profiling, spectroscopy, volatile compound analysis, DNA-based methods and metabolomics. This paper reviewed the research progress on the integration of various technologies with multivariate analytical methods in the traceability of origin tracing and authenticity identification of Oryza sativa, while discussed the principles, application scope, effectiveness and advantages/disadvantages of different techniques. By incorporating the geographical, varietal and organic characteristics of Oryza sativa, it summarized the latest developments in Oryza sativa origin traceability systems. The study aimed to provide reference foundations for Oryza sativa quality control and food safety, promote the establishment of traceability databases, and highlights its critical implications for safety regulation, rights protection and brand safeguarding in the Oryza sativa industry.

, correspAuthors=Shan WANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Shan WANG), CN=ArticleExt(id=1151895322315289118, articleId=1151437197111603501, tenantId=1146029695717560320, journalId=1149652044408987649, language=CN, title=国内大米产地溯源与真实性鉴定研究进展, columnId=1151895321958773274, journalTitle=食品安全质量检测学报, columnName=食品分析与检测, runingTitle=null, highlight=null, articleAbstract=

粮食产地溯源和真实性鉴定问题越来越受到消费者的关注。近年来大米产地溯源与真实性鉴定研究取得了显著进展, 涵盖了稳定同位素技术、矿物元素分析技术、光谱技术、挥发性物质分析技术、DNA技术、代谢组学分析等多种技术手段。本文综述了各种技术与多变量分析方法结合在大米产地溯源与真实性鉴定中的研究进展, 并探讨不同技术的原理、应用范围、应用效果及其优缺点。结合大米的地理、品种和有机特性, 总结了大米产地溯源系统的最新发展。本文旨在为大米质量控制和粮食安全提供参考依据, 推动溯源数据库的建立, 对于大米的安全监管、权益保障和品牌保护有着重要意义。

, correspAuthors=王姗, authorNote=null, correspAuthorsNote=
* 王姗(1992—), 女, 硕士, 工程师, 主要研究方向为市场监管质量技术评价。E-mail:
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Foods, 2023, 12(10): 1832., articleTitle=Effects of light shading, fertilization, and cultivar type on the stable isotope distribution of hybrid Oryza sativa, refAbstract=null), Reference(id=1167030586838361051, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1151437197111603501, doi=null, pmid=null, pmcid=null, year=2024, volume=437, issue=null, pageStart=101867, pageEnd=null, url=null, language=null, rfNumber=[52], rfOrder=80, authorNames=ZATSU V, SHINE AE, THARAKAN JM, journalName=Food Chemistry, refType=null, unstructuredReference=ZATSU V, SHINE AE, THARAKAN JM, et al. Revolutionizing the food industry: The transformative power of artificial intelligence-a review[J]. 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Application scope of 6 kinds of analytical techniques in Oryza sativa origin traceability and authenticity identification

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分析技术 应用范围 参考文献
稳定同位素技术 鉴别大米真伪和产地来源、评估大米营养价值、监测大米污染和安全性 [6-17]
矿物元素分析技术 大米营养成分分析、大米中有害元素检测、大米原料质量控制、大米添加剂和农药残留检测、大米产地溯源和地理标志产品保护、大米品质评价和风味分析 [20-26]
光谱技术 大米成分检测、大米污染物检测、大米致病菌检测、大米产地溯源 [28-40]
挥发性物质分析技术 大米新鲜度检测、大米成分分析、大米安全监测、大米品质鉴定、大米溯源 [42-44]
DNA技术 大米品种鉴别 [46-47]
代谢组学技术 溯源大米的产地和鉴别有机大米 [48-49]
), ArticleFig(id=1167030579393471322, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1151437197111603501, language=CN, label=表1, caption=

6种分析技术在大米产地溯源与真实性鉴定中的应用范围

, figureFileSmall=null, figureFileBig=null, tableContent=
分析技术 应用范围 参考文献
稳定同位素技术 鉴别大米真伪和产地来源、评估大米营养价值、监测大米污染和安全性 [6-17]
矿物元素分析技术 大米营养成分分析、大米中有害元素检测、大米原料质量控制、大米添加剂和农药残留检测、大米产地溯源和地理标志产品保护、大米品质评价和风味分析 [20-26]
光谱技术 大米成分检测、大米污染物检测、大米致病菌检测、大米产地溯源 [28-40]
挥发性物质分析技术 大米新鲜度检测、大米成分分析、大米安全监测、大米品质鉴定、大米溯源 [42-44]
DNA技术 大米品种鉴别 [46-47]
代谢组学技术 溯源大米的产地和鉴别有机大米 [48-49]
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国内大米产地溯源与真实性鉴定研究进展
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王姗 *
食品安全质量检测学报 | 食品分析与检测 2025,16(11): 200-206
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食品安全质量检测学报 | 食品分析与检测 2025, 16(11): 200-206
国内大米产地溯源与真实性鉴定研究进展
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王姗*
作者信息
  • 新疆生产建设兵团质量技术评价中心, 乌鲁木齐 830000

通讯作者:

* 王姗(1992—), 女, 硕士, 工程师, 主要研究方向为市场监管质量技术评价。E-mail:
Research progress on the origin tracing and authenticity identification of domestic Oryza sativa
Shan WANG*
Affiliations
  • Quality and Technical Evaluation Center of Xinjiang Production and Construction Corps, Urumqi 830000, China
出版时间: 2025-06-15 doi: 10.19812/j.cnki.jfsq11-5956/ts.20250102001
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粮食产地溯源和真实性鉴定问题越来越受到消费者的关注。近年来大米产地溯源与真实性鉴定研究取得了显著进展, 涵盖了稳定同位素技术、矿物元素分析技术、光谱技术、挥发性物质分析技术、DNA技术、代谢组学分析等多种技术手段。本文综述了各种技术与多变量分析方法结合在大米产地溯源与真实性鉴定中的研究进展, 并探讨不同技术的原理、应用范围、应用效果及其优缺点。结合大米的地理、品种和有机特性, 总结了大米产地溯源系统的最新发展。本文旨在为大米质量控制和粮食安全提供参考依据, 推动溯源数据库的建立, 对于大米的安全监管、权益保障和品牌保护有着重要意义。

大米  /  产地溯源  /  真实性鉴定  /  稳定同位素技术  /  光谱技术  /  多变量分析方法

The traceability of grain origins and authenticity identification have garnered increasing attention from consumers. In recent years, significant progress has been made in research on Oryza sativa origin traceability and authenticity identification, encompassing technologies such as stable isotope analysis, mineral element profiling, spectroscopy, volatile compound analysis, DNA-based methods and metabolomics. This paper reviewed the research progress on the integration of various technologies with multivariate analytical methods in the traceability of origin tracing and authenticity identification of Oryza sativa, while discussed the principles, application scope, effectiveness and advantages/disadvantages of different techniques. By incorporating the geographical, varietal and organic characteristics of Oryza sativa, it summarized the latest developments in Oryza sativa origin traceability systems. The study aimed to provide reference foundations for Oryza sativa quality control and food safety, promote the establishment of traceability databases, and highlights its critical implications for safety regulation, rights protection and brand safeguarding in the Oryza sativa industry.

Oryza sativa  /  origin tracing  /  authenticity identification  /  stable isotope technology  /  spectroscopy technology  /  multivariate analysis methods
王姗. 国内大米产地溯源与真实性鉴定研究进展. 食品安全质量检测学报, 2025 , 16 (11) : 200 -206 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20250102001
Shan WANG. Research progress on the origin tracing and authenticity identification of domestic Oryza sativa[J]. Journal of Food Safety & Quality, 2025 , 16 (11) : 200 -206 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20250102001
大米是我国重要的食物来源, 中国人口的65%以大米为主食, 在我国人民膳食结构中占有突出的地位, 产量和消费居世界首位, 保障我国14亿人口的粮食安全和国民营养健康具有重要意义[1]。五常大米、东北大米等产地造假, 引起社会普遍关注[2]。地理标志农产品掺假不仅影响其品质和价格, 还涉及粮食安全和消费者信任。这些行为不仅破坏了市场的公平竞争环境, 扰乱了正常的市场秩序, 还可能对消费者的健康造成直接威胁, 增加其摄入有害物质的风险, 进而损害其健康权益。因此, 开发快速、准确且可靠的分析技术来提取大米的地域特征因子, 并建立大米产地追溯系统, 对于确保大米的质量与安全尤为重要[3]。本文系统性地概述了大米的地理来源、植物学真实性的最新进展, 为大米质量控制和粮食安全提供理论支持。
稳定同位素技术是一种利用稳定同位素的示踪和分析方法, 用于研究物质的来源、转化过程和环境影响等。稳定性同位素与放射性同位素不同, 是指不发生放射性衰变的同位素, 没有辐射风险。稳定同位素技术常用到的元素有C、N、H、O等[4], 为不同来源的大米提供了有效的地理信息识别方法, 并为地理标志农产品的真实性鉴定提供了可靠的手段[5]。邵圣枝等[6]采用稳定同位素质谱和等离子发射光谱质谱法, 并结合主成分分析-线性判别分析法(principal component analysis-linear discriminant analysis, PCA-LDA), 对黑龙江省、江苏省和辽宁省的稻米进行产地溯源判定, 各地产的稻米中稳定同位素δ15N、δ13C、δD、δ18O数值范围不同, 通过对23个样本进行判别验证, 正确率为91%。该研究在多指标联用与算法创新上表现突出, 为农产品溯源提供了高精度方案, 但受限于样本规模、时间维度及成本控制, 仍需进一步扩大验证范围并简化技术流程[7-8]。公维民等[9]分析比较了我国由北到南6个省的10种大米的δ13C和δ15N值。结果显示, 我国大米的δ13C值以-27.9‰~-26.3‰出现的频率为主。δ15N值以1.7‰~3.4‰出现的频率为主。我国北方大米δ13C值高于南方大米, 但南北方大米的δ15N均值基本相同, 符合施化肥大米的特征。该文献地理覆盖范围广, 揭示了我国大米δ13C和δ15N值的南北方区域分布特征, 但在样本信息透明度及机制解释深度有限, 未来可结合多指标、多年度数据, 进一步挖掘稳定同位素在农产品溯源中的潜力[10]。LIU等[11]收集了来自3种施肥系统108个大米及相关土壤样本, 测定了大米和土壤样本的δ13C和δ15N以及27种元素含量, 发现δ15N值在作物轮作期间可以作为有机大米认证的有效指标, 通过偏最小二乘判别分析法(partial least squares discriminant analysis, PLS-DA)模型对2014—2017年4年间准确度达100%。该文献通过跨年份指标分析, 验证了δ15N值在有机大米认证中的有效性, 并利用PLS-DA模型实现了高精度分类, 未来可深入挖掘在δ13C应用, 推动该技术在有机农产品监管中的实际应用[12-13]。王济世等[14]共采集了134份真实稻米样本, 涵盖黑龙江、吉林、江苏、浙江、湖南以及贵州6个省份。通过PCA发现δ13C、δ15N与δ18O是区分稻米产地的关键同位素指标, 识别精度超过85%。该文献样本覆盖6个地理环境差异显著的省份, 涵盖不同气候带和土壤类型, 筛选出δ13C、δ15N、δ18O作为稻米产地溯源的关键指标, 并实现了较高的跨省识别精度, 但未涵盖西北(如新疆)、华南(如广东)等典型稻米产区, 可进一步提升方法的普适性[15-17]
矿物元素分析技术是一种用于测定和分析矿物样品中各种元素含量的方法。通过测定不同产地大米中的矿物质成分, 构建具有地域特色的矿物元素指纹图谱。基于矿物元素含量数据, 利用化学计量学方法建立判别模型, 用于区分不同产地的大米[18-19]。林杰等[20]通过湿法消解结合火焰原子吸收光谱法, 对云南省紫米、红米和白米中的Ca、Fe、Mn、Zn和Cu金属元素含量进行了测定, 结合单一元素可耐受最高摄入量及靶标危害商值(target hazard quotient, THQ)进行大米膳食风险分析。此研究中湿法消解的消解温度较低, 易挥发元素不易损失, 为快速、精准测定不同色泽大米中金属元素含量提供了一种有效的检测方法。黄小龙等[21]对3种地理标志产品的大米中27种元素进行了系统研究。结果显示大米中Al、Fe、Cu、Zn、Rb含量都在1000 μg/kg以上。通过多元素分析揭示了地理标志大米中元素含量的特征, 明确指出大米中元素含量受土壤及环境因素影响, 为利用元素指纹进行产地溯源提供了理论依据, 直接服务于地理标志农产品保护[22]。石春红等[23]采用电感耦合等离子体质谱并结合多元统计方法, 分析180件松江大米与非松江大米样本中40种矿物元素, 研究分析显示, 基于B、Na、Fe、Co、Ni、Zn、As和Se这8种矿物元素指标构建的溯源模型, 在大米产地的整体判别中达到了93.0%的准确率。该文献筛选出8种关键矿物元素, 兼顾差异性和代表性, 针对性解决区域性农产品溯源问题, 并构建了高精度的产地判别模型[24]。黎永乐等[25]研究了鉴别五常大米的方法, 通过测定大米中无机元素含量并结合PCA、人工神经网络(artificial neural network, ANN)等方法, 发现PCA法对样品的分类效果较差, ANN准确识别率为96.4%, 说明采用ANN可准确区分五常地区的大米样品和其他地区的大米。该文献研究对象明确, 聚焦五常大米, 结合多元统计与机器学习, 方法创新, 但测定多种无机元素含量的成本较高, 将来简化检测指标以降低实际应用成本[26]
光谱技术利用大米中不同成分在特定波长下表现出独特的光谱特征, 通过分析这些光谱特征, 获取其化学和物理信息。近红外光谱技术通过分析大米在近红外波段的吸收光谱, 可以快速无损地检测其产地[27]。夏立娅等[28]利用近红外光谱法通过前3个主成分的载荷图确定了与产地相关性较大的特征波段6700~7700 cm-1与4300~5700 cm-1, 可以100%正确的鉴别响水大米和非响水大米。将特征波段筛选与模式识别算法的有效结合, 通过确定与产地相关性较大的特征波段, 避免了全波段分析的复杂性, 提升了模型的效率和可解释性[29-30]。XIAO等[31]采用多向偏最小二乘法(multivariate partial least squares, MPLS)构建模型, 通过近红外光谱在4000 cm-1至12000 cm-1波长范围内的分析, 成功实现了有机大米与普通大米的区分。MPLS法在光谱分析中具有较好的预测性, 能够从复杂的光谱数据中筛选出与有机成分相关性强的特征波长, 能有效提取与有机大米相关的关键信息。刘亚超等[32]选择以五常大米为研究对象, 选取难以用肉眼分辨的6种大米为掺入米, 分别制备5%~50%的不同掺和比例140个大米样品, 表明掺杂比例在20%及以上的样品鉴别正确率为100%。此研究选择6种难以用肉眼分辨的掺入米, 模拟实际掺假场景, 提升了研究的实用性。样本设计科学, 覆盖多种掺假比例且梯度合理, 能够全面反映不同掺假程度下的光谱特征变化。但实际市场中, 轻微掺假(如5%~10%)更为常见, 可以尝试结合机器学习算法[如支持向量机(support vector machine, SVM)], 提升低掺假比例的鉴别性能。拉曼光谱是通过测量光吸收来得到光谱数据。田芳明[33]选取14种东北大米, 对于地域相距近的样品采用拉曼光谱技术再结合偏最小二乘法(partial least squares, PLS)识别模型, 对400~1700 cm-1波段数据进行处理, 大米产地鉴别准确率为97.14%。该文献为相近产地大米鉴别提供了高效的无损检测方案, 尤其在数据预处理和PLS建模方面具有创新性。但其样本范围和技术单一性可能限制实际应用, 未来可通过扩大样本多样性、融合多光谱技术及优化预处理方法进一步提升模型性能。栾鑫鑫等[34]利用拉曼光谱技术结合PCA、层次聚类分析法(hierarchical clustering, HC)、PLS-DA建立品种鉴别模型, 不同品种的大米鉴别准确率为100%[35]。该研究从不同角度挖掘光谱数据的特征, 基于自适应滑动排列熵算法可进一步降低判别误差, 提升特征波长的特异性, 增加了模型的科学性和可靠性。LI等[35]采用拉曼光谱分析来自安徽、江西、宁夏、吉林、江苏5个省份大米样品的数据, 并利用PCA和SVM等方法对大米样品进行产地判别, 5个产地的分类准确率最高达100%[36-38]。表明SVM在处理高维数据和非线性分类问题时表现优异[39]。MO等[40]通过对中国等国家的大米样品400~1000 nm波段的高光谱, 建立PLS-DA模型, 高光谱图像的像素维数为3.0 mm×3.0 mm时, 识别精度达到99.99%以上。高光谱成像技术以其卓越的光谱分辨率见长, 然而, 其昂贵的设备成本以及处理海量原始图像数据的复杂性, 限制了该技术的广泛应用[41]。未来研发微型化光谱检测设备, 降低成本并缩短检测时间。
挥发性物质分析技术通过检测大米中挥发性化合物的组成和含量, 识别不同产地的特征。这些化合物包括醛类、酮类、醇类等, 其分布受环境、土壤及种植方式影响显著。不同种类或产地的大米, 在受到外界环境、生物来源及加工处理等多重因素的影响后, 会形成各自特有的挥发性成分。邱彦超等[42]运用电子鼻PEN3技术对哈阳、五常和建三江3个不同地区的大米进行了检测分析。研究以LDA为主要方法, 辅以PCA, 成功实现了大米产地的精准鉴别, 鉴别准确率达到了100%。通过以上研究可以看出, 电子鼻技术利用传感器阵列模拟人类嗅觉系统, 检测大米挥发性气味物质。结合PCA-LDA分析, 该技术能区分不同基因型和不同收获年份的大米。刘敏等[43]以4种不同品种大米为研究对象, 采用固相微萃取-气相色谱-质谱法(solid phase microextraction-gas chromatography-mass spectrometry, SPME-GC-MS)测定不同品种大米的挥发性物质, 主要成分为烷烃、醛类、酯类, 且相对含量均以烷烃类最高。此研究揭示了不同品种大米挥发性物质的差异及其对香气品质的影响, 其中SPME技术具有无溶剂、快速和高选择性的优势, 适合复杂样品的分析。孙学景等[44]以五优稻4号大米为研究对象, 提出一种基于顶空固相微萃取气相色谱-质谱法(headspace solid-phase microextraction gas chromatography-mass spectrometry, HS-SPME-GC-MS)的大米智能鉴别方法。利用PCA提取出18种主要特征挥发性组分, 并建立五优稻4号标准指纹图谱, 表明此方法可在一定程度上鉴别掺入五优稻4号中不同比例的其他品种大米。该研究针对五优稻4号这一优质大米品种进行研究, 直接服务于高端农产品的真伪鉴别, HS-SPME-GC-MS能够高效提取大米中的挥发性组分, 通过关键指标筛选(如特定挥发性组分), 开发低成本检测组合, 结合便携式色谱仪, 探索快速检测方案[45]
DNA技术建立在DNA分子标记基础上, 是一种基于个体间遗传物质内核苷酸序列变异的遗传标记技术。李小华等[46]对浙江省46个粳稻新品种进行遗传多样性分析, 品种间遗传相似系数在0.735~1.000之间, 平均为0.879, 说明浙江省粳稻品种遗传背景窄、亲缘关系较近。SSR引物数据实用, 结果可靠, 符合行业标准。多态性频率低(0.192), 说明引物区分度有限。研究用SSR标记, 未结合其他分子标记或农艺性状数据, 缺乏对遗传基础狭窄原因的深入分析, 未来可以增加引物数量, 使用更多高多态性引物, 结合SNP或表型分析, 整合表型数据。陈羽红[47]利用SSR标记多态性分析12对引物共检测到40个等位基因, 平均每对引物扩增到3.3个等位基因, 表明选用的引物具有高多态性, 能良好地反映出50份水稻品种的基因型多样性。通过以上研究可以看出, DNA指纹技术利用大米基因组中特定序列的多态性, 通过聚合酶链式反应(polymerase chain reaction, PCR)、随机扩增多态性DNA (random amplified polymorphic DNA, RAPD)、扩增片段长度多态性(amplified fragment length polymorphism, AFLP)等方法生成独特的DNA指纹图谱, 这些图谱能够反映不同产地大米的遗传差异。通过高多态性SSR标记和多种分子技术结合弥补了单一技术的局限性, 更全面地反映基因型差异。但受限于SSR标记的开发成本和样本规模, 未来研究可结合转录组数据开发新型标记。
代谢组学是一门研究生物体内所有小分子代谢物的科学领域。研究对象大都是相对分子质量1000以内的小分子物质, 包括代谢产生的中间产物和终产物, 如糖类、脂质、氨基酸等。冯雪等[48]对黑龙江省4个地区的29个绥粳4号稻米样品, 采用气相色谱-串联四极杆飞行时间质谱(gas chromatography-tandem quadrupole time-of-flight mass spectrometry, GC/Q-TOF MS), 以PCA对变化显著的差异性代谢物进行鉴定, 确定了11种特征标记物, 为稻米产地溯源提供了明确的代谢物依据。本研究其优势在于方法稳定性和标记物筛选的有效性。但受限于气相色谱技术特性(气相色谱通常适合挥发性和热稳定的化合物), 可能漏掉一些极性大或难挥发的代谢物。未来可结合液相色谱技术以扩大代谢物覆盖范围。XIAO等[49]应用PCA、PLS-DA、HC和正交偏最小二乘判别分析法(orthogonal partial least squares discriminant analysis, OPLS-DA)等多种多元统计分析方法, 对来自黑龙江省的20份有机大米和20份普通大米的代谢物进行了系统研究。通过分析, 筛选出30个具有鉴别意义的代谢组分, 其中8个次级代谢产物被鉴定为区分有机大米与普通大米的潜在特征标志物。本研究结合无监督学习(PCA、HC)与有监督学习(PLS-DA、OPLS-DA), 既能探索数据自然分布, 又能聚焦组间差异。OPLS-DA的应用有效分离了组间变异与组内变异, 降低了噪声干扰, 提升了标志物筛选的特异性。8个次级代谢产物与有机种植的关联机制未深入探讨, 可结合田间管理数据(如肥料/农药使用记录)建立代谢物与种植方式的因果关联。如表1所示, 6种分析技术在大米产地溯源与真实性鉴定中的应用范围。
随着全球粮食安全问题的日益严峻, 大米产地溯源与真实性研究与应用正变得愈发重要。稳定同位素技术为地理识别、品种鉴别以及(有机vs传统)真实性提供了有效信息[50]。同样, 光谱法、矿物元素分析法、挥发性组分分析、代谢组学分析、DNA技术在检测掺假和品种鉴别方面提供了有价值的见解。最常用的监督方法包括: ANN、PLS-DA、SVM、OPLS-DA等, 而PCA、HC是最常见的非监督技术, 用于处理从不同分析技术中获得的数据以进行大米认证。
未来的研究方向应集中在以下几个方面: 构建高效的在线大米产地溯源系统, 选择合适的大米样品, 确保样品覆盖广泛的产地和品种, 利用人工智能(artificial intelligence, AI)与机器学习技术的融合, 为大米的产地溯源与真伪鉴别开辟了崭新的研究路径[51]。借助对海量检测数据的深度学习与模式识别能力, AI技术能够助力科研人员提升检测的精确度与专一性, 同时优化检测流程与结果解析的效率。通过对训练集数据进行学习, 模型能够识别不同产地和品种的大米特征。探索多模态数据(如光谱、稳定同位素、矿物元素、DNA、代谢组学、挥发性物质分析数据)的融合应用, 利用先进的地理信息系统(geographic information system, GIS)等手段, 绘制大米的溯源地图[52]。将指纹图谱与非同质化通证结合, 可为每批大米生成唯一数字身份, 消费者扫码即可追溯全程环境数据, 实现科技赋能农业信任经济。推动设备微型化与成本压缩, 使技术下沉至市场监管一线。政策与市场联动, 政府引导建立地理标志产品数据信息档案, 企业则探索“溯源标签”增值模式(如高端大米品牌认证)等。
通过大米产地溯源和真实性鉴定, 可以有效保护地理标志农产品的品牌价值和市场地位, 防止其他地区的产品冒充或混淆视听, 减少不法商家的欺诈行为, 保护合法经营者的利益。消费者可以清楚地了解所购买大米的真实产地和品质, 从而做出更加明智的购买决策。
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2025年第16卷第11期
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doi: 10.19812/j.cnki.jfsq11-5956/ts.20250102001
  • 接收时间:2025-01-02
  • 首发时间:2025-07-14
  • 出版时间:2025-06-15
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  • 收稿日期:2025-01-02
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    新疆生产建设兵团质量技术评价中心, 乌鲁木齐 830000

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* 王姗(1992—), 女, 硕士, 工程师, 主要研究方向为市场监管质量技术评价。E-mail:
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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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