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Article(id=1153986650834194991, tenantId=1146029695717560320, journalId=1149652044408987649, issueId=1153986642063905290, articleNumber=null, orderNo=null, doi=10.19812/j.cnki.jfsq11-5956/ts.20241118006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1731859200000, receivedDateStr=2024-11-18, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1753061457594, onlineDateStr=2025-07-21, pubDate=1739548800000, pubDateStr=2025-02-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1753061457594, onlineIssueDateStr=2025-07-21, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1753061457594, creator=13701087609, updateTime=1753061457594, updator=13701087609, issue=Issue{id=1153986642063905290, tenantId=1146029695717560320, journalId=1149652044408987649, year='2025', volume='16', issue='3', pageStart='1', pageEnd='316', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1753061455502, creator=13701087609, updateTime=1760070725729, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1183385652272968023, tenantId=1146029695717560320, journalId=1149652044408987649, issueId=1153986642063905290, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1183385652272968024, tenantId=1146029695717560320, journalId=1149652044408987649, issueId=1153986642063905290, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=203, endPage=207, ext={EN=ArticleExt(id=1153986651547226676, articleId=1153986650834194991, tenantId=1146029695717560320, journalId=1149652044408987649, language=EN, title=Determination of mercury content in grain by direct injection method for mercury measurement, columnId=1153433635433730748, journalTitle=Journal of Food Safety & Quality, columnName=Special Topic: Comprehensive Utilization and Quality Safety of Agricultural Products, runingTitle=null, highlight=null, articleAbstract=

Objective To detect mercury content in grain by direct injection method for mercury measurement.. Methods Direct injection method for mercury measurement was used to detect grain samples such as wheat, corn, and rice, and the limit of detection, accuracy, stability, and spiked recovery rate of the method were analyzed. Results When the sample size was 0.1 g, the limits of detection mercury in wheat, corn, and rice were 0.070, 0.075, 0.085 μg/kg, all of which were less than 0.2 μg/kg. The detection results of the quality control sample was 39.42 μg/kg, which was within the specified value range. The repeatability of mercury detection, with a relative standard deviation within 5%, met the stability requirements for mercury detection. The recovery rate of mercury spiked samples were 92.2%~101.4%. Conclusion Compared with traditional mercury analysis methods, direct injection method for mercury measurement has the advantages of simple operation steps, good repeatability, fast and accurate results, and is a recommended method for rapid detection of mercury content in grain.

, correspAuthors=Guan-Ping DAI, 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=Guan-Ping DAI, Feng FU, Zi-Hao ZHANG, Sheng-Nan ZHAO), CN=ArticleExt(id=1153986657679299233, articleId=1153986650834194991, tenantId=1146029695717560320, journalId=1149652044408987649, language=CN, title=直接进样测汞法检测粮食中汞含量, columnId=1153433635601502912, journalTitle=食品安全质量检测学报, columnName=本期专题：农产品综合利用及质量安全, runingTitle=null, highlight=null, articleAbstract=

目的 直接进样测汞法检测粮食中汞含量。方法 采用直接进样测汞法对小麦、玉米、稻谷等粮食样品进行检测, 并对该方法的检出限、准确性、稳定性以及加标回收率进行分析。结果 当称样量为0.1 g时, 小麦、玉米、稻谷样品中汞的方法检出限分别为0.070、0.075、0.085 μg/kg, 均小于0.2 μg/kg; 质控样品的检测结果为39.42 μg/kg, 在指定值范围内; 汞的重复性检测, 相对标准偏差在5%以内, 满足汞检测的稳定性要求; 汞的加标回收率为92.2%~101.4%。结论 与传统的汞分析方法相比, 直接进样测汞法具有操作步骤简便、重复性好、结果快速、准确等优点, 是一种值得推广的粮食中汞含量快速检测法。

, correspAuthors=戴冠苹, authorNote=null, correspAuthorsNote=
* 戴冠苹(1988—), 女, 工程师, 主要研究方向为粮油食品检验。E-mail:
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Determination of mercury content in fresh milk by direct injection mercury determination[J]. Journal of Food Safety & Quality, 2021, 12(18): 7235-7239., articleTitle=Determination of mercury content in fresh milk by direct injection mercury determination, refAbstract=null)], funds=null, companyList=[AuthorCompany(id=1183427970988389340, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153986650834194991, xref=null, ext=[AuthorCompanyExt(id=1183427970992583645, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153986650834194991, companyId=1183427970988389340, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=Henan Province Food and Salt Industry Inspection Research Institute, Zhengzhou 450000, China), AuthorCompanyExt(id=1183427971000972254, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153986650834194991, companyId=1183427970988389340, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=河南省食品和盐业检验技术研究院, 郑州 450000)])], figs=[ArticleFig(id=1183427972733219834, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153986650834194991, language=EN, label=Fig.1, caption=Schematic diagram of DMA-80 direct mercury analyzer structure, figureFileSmall=bvovLvf+mxtXVct+i2IUUQ==, figureFileBig=X5JNfaYHE9fB2zusmRtZNw==, tableContent=null), ArticleFig(id=1183427972796134396, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153986650834194991, language=CN, label=图1, caption=DMA-80直接测汞仪结构简图, figureFileSmall=bvovLvf+mxtXVct+i2IUUQ==, figureFileBig=X5JNfaYHE9fB2zusmRtZNw==, tableContent=null), ArticleFig(id=1183427972842271741, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153986650834194991, language=EN, label=Table 1, caption=

Measurement value of standard solution

, figureFileSmall=null, figureFileBig=null, tableContent=
汞含量/ng 信号响应值峰高
0 0.0007
0.5 0.0266
1.0 0.0533
2.0 0.1022
5.0 0.2472
10.0 0.4431
20.0 0.6839
), ArticleFig(id=1183427972917769214, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153986650834194991, language=CN, label=表1, caption=

标准溶液测定值

, figureFileSmall=null, figureFileBig=null, tableContent=
汞含量/ng 信号响应值峰高
0 0.0007
0.5 0.0266
1.0 0.0533
2.0 0.1022
5.0 0.2472
10.0 0.4431
20.0 0.6839
), ArticleFig(id=1183427973010043903, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153986650834194991, language=EN, label=Table 2, caption=

LODs for different grain samples (μg/kg)

, figureFileSmall=null, figureFileBig=null, tableContent=
样品 LODs 国家标准规定的LOD
稻谷 0.085 0.2
小麦 0.070
玉米 0.075
), ArticleFig(id=1183427973072957440, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153986650834194991, language=CN, label=表2, caption=

不同粮食样品的LODs (μg/kg)

, figureFileSmall=null, figureFileBig=null, tableContent=
样品 LODs 国家标准规定的LOD
稻谷 0.085 0.2
小麦 0.070
玉米 0.075
), ArticleFig(id=1183427973140066307, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153986650834194991, language=EN, label=Table 3, caption=

Stability of direct injection method for mercury measurement in different grain samples

, figureFileSmall=null, figureFileBig=null, tableContent=
样品 检测平均值/(μg/kg) RSDs/%
稻谷1 4.0863 1.54
稻谷2 24.8245 1.45
稻谷3 85.4226 1.00
小麦1 1.1064 1.28
小麦2 15.5799 0.65
小麦3 101.3462 0.28
玉米1 2.5665 2.01
玉米2 40.0391 1.35
玉米3 124.0710 0.74
), ArticleFig(id=1183427973236535306, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153986650834194991, language=CN, label=表3, caption=

不同粮食样品直接进样测汞法的检测稳定性

, figureFileSmall=null, figureFileBig=null, tableContent=
样品 检测平均值/(μg/kg) RSDs/%
稻谷1 4.0863 1.54
稻谷2 24.8245 1.45
稻谷3 85.4226 1.00
小麦1 1.1064 1.28
小麦2 15.5799 0.65
小麦3 101.3462 0.28
玉米1 2.5665 2.01
玉米2 40.0391 1.35
玉米3 124.0710 0.74
), ArticleFig(id=1183427973337198604, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153986650834194991, language=EN, label=Table 4, caption=

Recovery rates of direct injection method for mercury measurement in different grain samples

, figureFileSmall=null, figureFileBig=null, tableContent=
本底值
/(μg/kg)		 加标量
/ng		 检测平均值
/(μg/kg)		 平均回收率/% RSDs
/%
稻谷
4.0863		 1 14.2235 101.4 3.5
5 51.8970 95.6 1.9
10 98.0172 93.9 2.5
小麦
1.1064		 1 10.9712 98.6 4.0
5 49.5523 96.9 1.3
10 96.8908 95.8 1.6
玉米
2.5665		 1 12.6565 100.9 4.1
5 49.6437 94.2 2.7
10 94.7685 92.2 1.2
), ArticleFig(id=1183427973412696079, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153986650834194991, language=CN, label=表4, caption=

不同粮食样品直接进样测汞法的加标回收率

, figureFileSmall=null, figureFileBig=null, tableContent=
本底值
/(μg/kg)		 加标量
/ng		 检测平均值
/(μg/kg)		 平均回收率/% RSDs
/%
稻谷
4.0863		 1 14.2235 101.4 3.5
5 51.8970 95.6 1.9
10 98.0172 93.9 2.5
小麦
1.1064		 1 10.9712 98.6 4.0
5 49.5523 96.9 1.3
10 96.8908 95.8 1.6
玉米
2.5665		 1 12.6565 100.9 4.1
5 49.6437 94.2 2.7
10 94.7685 92.2 1.2
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直接进样测汞法检测粮食中汞含量
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戴冠苹 * , 符锋 , 张梓豪 , 赵胜男
食品安全质量检测学报 | 本期专题：农产品综合利用及质量安全 2025,16(3): 203-207
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食品安全质量检测学报 | 本期专题：农产品综合利用及质量安全 2025, 16(3): 203-207
直接进样测汞法检测粮食中汞含量
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戴冠苹* , 符锋, 张梓豪, 赵胜男
作者信息
  • 河南省食品和盐业检验技术研究院, 郑州 450000

通讯作者:

* 戴冠苹(1988—), 女, 工程师, 主要研究方向为粮油食品检验。E-mail:
Determination of mercury content in grain by direct injection method for mercury measurement
Guan-Ping DAI* , Feng FU, Zi-Hao ZHANG, Sheng-Nan ZHAO
Affiliations
  • Henan Province Food and Salt Industry Inspection Research Institute, Zhengzhou 450000, China
出版时间: 2025-02-15 doi: 10.19812/j.cnki.jfsq11-5956/ts.20241118006
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摘要
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目的 直接进样测汞法检测粮食中汞含量。方法 采用直接进样测汞法对小麦、玉米、稻谷等粮食样品进行检测, 并对该方法的检出限、准确性、稳定性以及加标回收率进行分析。结果 当称样量为0.1 g时, 小麦、玉米、稻谷样品中汞的方法检出限分别为0.070、0.075、0.085 μg/kg, 均小于0.2 μg/kg; 质控样品的检测结果为39.42 μg/kg, 在指定值范围内; 汞的重复性检测, 相对标准偏差在5%以内, 满足汞检测的稳定性要求; 汞的加标回收率为92.2%~101.4%。结论 与传统的汞分析方法相比, 直接进样测汞法具有操作步骤简便、重复性好、结果快速、准确等优点, 是一种值得推广的粮食中汞含量快速检测法。

汞  /  粮食检验  /  直接进样测汞法

Objective To detect mercury content in grain by direct injection method for mercury measurement.. Methods Direct injection method for mercury measurement was used to detect grain samples such as wheat, corn, and rice, and the limit of detection, accuracy, stability, and spiked recovery rate of the method were analyzed. Results When the sample size was 0.1 g, the limits of detection mercury in wheat, corn, and rice were 0.070, 0.075, 0.085 μg/kg, all of which were less than 0.2 μg/kg. The detection results of the quality control sample was 39.42 μg/kg, which was within the specified value range. The repeatability of mercury detection, with a relative standard deviation within 5%, met the stability requirements for mercury detection. The recovery rate of mercury spiked samples were 92.2%~101.4%. Conclusion Compared with traditional mercury analysis methods, direct injection method for mercury measurement has the advantages of simple operation steps, good repeatability, fast and accurate results, and is a recommended method for rapid detection of mercury content in grain.

mercury  /  grain detection  /  direct injection method for mercury measurement
戴冠苹, 符锋, 张梓豪, 赵胜男. 直接进样测汞法检测粮食中汞含量. 食品安全质量检测学报, 2025 , 16 (3) : 203 -207 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20241118006
Guan-Ping DAI, Feng FU, Zi-Hao ZHANG, Sheng-Nan ZHAO. Determination of mercury content in grain by direct injection method for mercury measurement[J]. Journal of Food Safety & Quality, 2025 , 16 (3) : 203 -207 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20241118006
正文
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0 引言
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粮食是人类赖以生存和发展的必需品, 是人类一切生命活动的能量来源, 其重要性不言而喻。同时粮食安全问题也自始至终都是一个重要的问题, 因为它关系到千家万户和国计民生, 关系到社会和谐与稳定。但是, 随着近年来工业化进程加快, 越来越多的污染物裹挟着多种重金属以各种化学形态排入环境, 污染到水源以及土壤。如果种植粮食作物的土地被重金属污染, 将会被作物吸收, 进而累积到粮食当中。人们食用被重金属污染的粮食作物后, 这些进入身体的重金属会干扰人体的正常生理功能, 对身体产生危害, 甚至会引起死亡, 因此重金属污染对粮食质量安全造成了很大威胁。这类重金属称为有毒重金属[1-2], 在有毒金属元素中, 汞的毒性排在首位。
汞, 又称水银, 常温常压下为液态金属, 是唯一主要以气态单质存在于大气中的重金属[3]。自然界的汞主要以元素汞、无机汞和有机汞3种基本状态存在, 其进入人体的途径主要为食物链富集[4-7]。汞具有显著的生物毒性, 通过食物进入体内, 极易被消化道吸收, 人体吸收的汞会分布在全身各个器官和组织, 其中肝、肾、脑的含量最高。因为这些汞在生物体内无法自行降解, 同时如果经常食用被重金属污染粮食制作的食物, 就会在体内不断的累积, 这样就会对器官和组织持续产生危害, 造成汞中毒, 严重影响人的身体健康[8]。汞在体内的生物半衰期长达70 d, 在脑内更是长达250 d, 汞作为剧毒物质更容易导致脑神经系统损伤。汞中毒后出现的神经系统损伤症状, 包括语言障碍、听力障碍、感觉障碍等, 甚至导致瘫痪、肢体变形。同时高浓度的汞具有很强的致畸、致癌、致突变的作用, 甚至导致死亡[9]。世界卫生组织将汞列为最需要关注的重金属[10-12]。因此, 在粮食安全风险监测和评估中, 总汞是粮食中必须监测的污染物指标之一[13-16], GB 2762—2022《食品安全国家标准 食品中污染物限量》中规定, 谷物及其制品中的汞含量不得超过0.02 mg/kg。
目前, 国内粮食中总汞的分析方法主要有原子荧光光谱法(atomic fluorescence spectrometry, AFS)[17-22]、电感耦合等离子体质谱法(inductively coupled plasma-mass spectrometry, ICP-MS)[23-27]、冷原子吸收光谱法[28]等。AFS使用时间久远, 技术成熟, 仪器成本较低, 是现行测定汞应用最广泛的方法, 但前处理操作烦琐, 并伴有试剂污染[29-30]。ICP-MS的方法灵敏度、准确度高, 可实现多元素同时测定, 但仪器成本高, 耗气量大, 应用普及程度不及AFS, 且该方法存在汞离子的记忆效应干扰, 测定结果稍微偏低[31]。直接测汞法是一种新型的测汞技术, 借助直接测汞仪无需对样品进行消解处理, 直接固体进样, 整个实验过程全部在仪器中进行, 无需离线消解, 待测物无挥发损失, 基体干扰少, 且含汞废气经吸收液或特定的尾气吸附管吸收, 进行无害化处理后排放, 对环境污染小。该方法的准确度、精密度和回收率高, 取样量少, 测定时间短, 整个测量过程小于5 min, 结果准确, 重现性好。
DMA-80直接测汞仪的工作流程为高温分解→催化吸附除杂→汞齐化捕集→原子吸收测定。仪器结构简图如图1所示[32]。
样品经自动进样器进样后, 在通入氧气流的热解析炉中被干燥、高温分解, 分解后的氧化产物经氧气流带入催化还原炉中催化还原得到蒸汽状态的汞原子, 其中的杂质由催化剂吸附, 蒸汽状态的汞原子由氧气流带入齐化富集炉发生金汞齐反应, 并以金汞齐形式被汞齐化器捕捉收集, 经高温解析释放汞, 在253.7 nm处测定其吸光度值[33]。
直接进样测汞法作为一种新兴检测方法, 在食品、药品领域的应用已有多人研究, 文献报道有测定茶叶、枸杞、中药、大米等食品或药品中的汞含量[9,34-37], 但系统全面测定常见原粮如小麦、玉米、稻谷中汞含量的文献却鲜有报道, 故本研究选用玉米、稻谷、小麦等常见原粮为研究对象, 通过对不同粮食样品的分析, 对直接进样测汞法的方法检出限(limit of detection, LOD)、准确度、加标回收率、重现性等指标, 进行了适用性评价, 为粮食质量安全监管任务中总汞的检测提供的科学依据。
1 材料与方法
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1.1 材料与试剂
稻谷、小麦、玉米样品为实验室留存。
硝酸(痕量金属级, 美国Fisher Chemical公司); 汞标准溶液(GSB04-1729-2004, 质量浓度1000 μg/mL)(国家有色金属及电子材料分析测试中心); QC-442A-7大米粉中汞质控样品(大连中食国实检测技术有限公司)。
1.2 仪器与设备
DMA-80直接测汞仪(意大利Milestone公司); BLH-5700粉碎机(浙江伯利恒仪器设备有限公司); CPA225D分析天平(感量为0.1 mg, 德国sartorius公司); UPH-III-20L超纯水系统(西安优普仪器设备有限公司); TM-0910P马弗炉(北京安合美诚科学仪器有限公司)。
1.3 实验方法
1.3.1 仪器条件
干燥温度200 ℃, 升温时间10 s, 保持时间60 s; 分解温度650 ℃, 升温时间90 s, 保持时间90 s, 冲洗时间60 s; 齐化管加热温度850 ℃, 齐化管加热时间12 s; 记录时间30 s; 载气高纯氧气压力0.4 MPa。
1.3.2 样品处理
小麦、稻谷、玉米样品分别用粉碎机粉碎, 粒径达425 μm以下(40目以上), 混合均匀, 装入洁净聚乙烯瓶中, 密封保存备用。
1.3.3 样品舟净化
将样品舟中残留的样品灰烬处理干净后, 放置于马弗炉中800 ℃高温灼烧30 min, 去除汞残留。使用前, 按照直接测汞仪的仪器参考条件, 先运行仪器空白, 即不放样品舟, 目的是去除仪器内的汞残留, 直到其峰高小于0.0030才可以使用。
1.3.4 标准曲线的制作
用1000 mg/L的汞标准溶液与体积分数5%的硝酸溶液依次稀释配制成汞质量浓度为0、5、10、20、50、100、200 μg/L的标准溶液。
分别吸取0.1 mL上述汞标准溶液于样品舟中, 按汞质量由小到大的顺序, 依次进行测定, 记录信号响应值峰高。
1.3.5 样品的测定
准确称取0.1 g左右(精确至 0.0001 g)样品于样品舟中, 按照1.3.1的仪器条件进行测定, 获得相应的信号响应值及样品的汞含量。
1.4 数据处理
每组实验重复进行3次, 采用Microsoft Excel 2019对检测数据进行分析, 计算相对标准偏差及绘制标准曲线图。
2 结果与分析
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2.1 直接进样测汞法的标准曲线
标准溶液测定结果如表1所示, 以汞的含量为横坐标(X, ng), 以其对应的信号响应值峰高为纵坐标(Y), 绘制汞标准曲线。汞含量在0~20.0 ng范围内, 标准曲线方程为Y=-0.00101076X2+0.05443371X-0.00039197, 相关系数r2=0.99998, 符合国家标准要求(不低于0.999)。
2.2 直接进样测汞法对不同粮食的方法检出限
选取汞本底值极低的稻谷、小麦、玉米样品为空白样品, 按照1.3.2制成合适的粒度, 采用直接测汞仪对不同粮食品种的空白样品连续测定20次, 获得相应的信号响应值, 计算标准偏差, 按公式(1)计算各类粮食中汞的LOD:
LOD=(3×SA)/(k×m)
式中: SA为空白样品多次测得信号响应值的标准偏差; k为标准曲线在低浓度范围内的斜率; m为称样量, g。
按0.1 g称样量计算, 采用直接进样测汞法, 小麦、玉米、稻谷样品中汞的LODs分别为0.070、0.075、0.085 μg/kg, 均低于0.2 μg/kg(表2), 满足GB 5009.17—2021《食品安全国家标准 食品中总汞及有机汞的测定》中规定的LOD要求。
2.3 直接进样测汞法的准确性
本研究采用大米粉中汞含量质控样品, 其指定值为(39.3±4.1) μg/kg, 做3个平行, 用直接测汞仪检测汞含量。该质控样品检测平均值为39.42 μg/kg, 相对标准偏差(relative standard deviation, RSD)为0.63%, 在质控样品的指定值范围内, 可见直接进样测汞法的准确度高, 重复性好, 可以满足检测要求。
2.4 不同粮食直接进样测汞法的检测稳定性
收集不同汞元素含量及不同种类的粮食样品, 包括3份稻谷、3份小麦、3份玉米样品, 按照1.3.2制成合适的粒度, 每个样品做3个平行, 用直接测汞仪进行检测, 结果见表3。从表中结果可以看出: 不同粮食品种, 直接进样测汞法3个平行样的RSD均在5%以内, 说明直接进样测汞法能够满足不同粮食中汞检测的稳定性要求。
2.5 不同粮食样品直接进样测汞法的加标回收率
选取已知汞含量的稻谷、小麦、玉米样品, 各加入不同浓度梯度的汞标准溶液, 每个梯度做3个平行, 采用直接测汞仪进行检测, 结果见表4。稻谷、小麦、玉米样品采用直接进样测汞法的加标回收率在92.2%~101.4%之间, RSDs均小于5%, 符合粮食中汞元素的检验要求。
3 结论
收起
本研究以小麦、玉米、稻谷等常见原粮为对象, 对直接进样测汞法进行分析, 结果当标准溶液的汞含量为0~20.0 ng范围内, 标准曲线相关系数大于0.999, 不同粮食样品的LODs均小于0.2 μg/kg, 质控样品的检测结果在指定值范围内。汞的重复性检测, RSDs在5%以内, 汞的加标回收率为92.2%~101.4%。说明直接进样测汞法的LOD、准确性、稳定性、加标回收率均能满足实验要求, 证实了该方法测定粮食中汞元素的可行性。
与传统的汞分析方法相比, 直接进样测汞法具有操作步骤简单、无需消解、重复性好、结果快速、准确等优点, 因此该方法适用于大批量粮食中汞元素的检测, 是一种值得广泛推广的高效检测方法, 为粮食中总汞的快速检测提供实验依据。
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doi: 10.19812/j.cnki.jfsq11-5956/ts.20241118006
  • 接收时间：2024-11-18
  • 首发时间：2025-07-21
  • 出版时间：2025-02-15
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  • 收稿日期：2024-11-18
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    河南省食品和盐业检验技术研究院, 郑州 450000

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* 戴冠苹(1988—), 女, 工程师, 主要研究方向为粮油食品检验。E-mail:
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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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