Article(id=1321833911991250960, tenantId=1146029695717560320, journalId=1283840372199657495, issueId=1321833712552100757, articleNumber=null, orderNo=null, doi=10.3724/SP.J.1123.2025.07017, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1753027200000, receivedDateStr=2025-07-21, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793079363104, onlineDateStr=2026-10-27, pubDate=1775577600000, pubDateStr=2026-04-08, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793079363104, onlineIssueDateStr=2026-10-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793079363104, creator=13701087609, updateTime=1793079363104, updator=13701087609, issue=Issue{id=1321833712552100757, tenantId=1146029695717560320, journalId=1283840372199657495, year='2026', volume='44', issue='4', pageStart='373', pageEnd='495', issueExtLink='null', onlineDate='null', pubDate='1775577600000', pubDateStr='2026-04-08', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1793079315555, creator='13701087609', updateTime=1793079863627, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321836011395593032, tenantId=1146029695717560320, journalId=1283840372199657495, issueId=1321833712552100757, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321836011399787337, tenantId=1146029695717560320, journalId=1283840372199657495, issueId=1321833712552100757, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=467, endPage=478, ext={EN=ArticleExt(id=1321833912398098449, articleId=1321833911991250960, tenantId=1146029695717560320, journalId=1283840372199657495, language=EN, title=Determination of 38 antibiotic residues in honey by magnetic dispersive solid-phase extraction-liquid chromatography-tandem mass spectrometry, columnId=1321833787957301763, journalTitle=Chinese Journal of Chromatography, columnName=Technical Note, runingTitle=null, highlight=null, articleAbstract=
Accurate antibiotic residue detection in honey is crucial for food safety and veterinary drug regulation in apiculture. Honey is a particularly challenging matrix. The high sugar content, strong viscosity, and pronounced matrix effects of the sample make it difficult to extract and detect target analytes effectively. Moreover, multiple antibiotics are used in beekeeping, while existing residue standards often provide incomplete coverage. These limitations highlight the urgent need for a robust and environmentally friendly multi-residue analytical method. In this study, a green and sensitive method was developed for the simultaneous determination of 38 antibiotic residues, including chloramphenicol, quinolones, and sulfonamides, in honey. Sample preparation was based on magnetic dispersive solid-phase extraction (MDSPE) using a mixed-mode hydrophilic-lipophilic balance (mHLB) magnetic sorbent. This sorbent combines hydrophilic and hydrophobic interactions, enabling efficient extraction of chemically diverse antibiotics. Method optimization was performed systematically. A Plackett-Burman design was used to screen seven factors influencing extraction. The sorbent dosage, sample volume, and extraction time were identified as the most significant. These variables were further optimized by response surface methodology, which minimized the number of experimental runs while clarifying interactions among factors. The final protocol required only 10 mg of sorbent, 5 mL of sample extract, and 1 mL of methanol for elution. This miniaturized approach represents an environmentally sustainable method. Chromatographic separation was achieved on a Poroshell 120 SB-C18 column (100 mm×2.1 mm,2.7 μm) using a gradient of acidified methanol and water. Detection was carried out by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) with electrospray ionization operated in both positive and negative modes, and multiple reaction monitoring ensured high sensitivity and selectivity. The method was fully validated. Excellent linearity was obtained for all analytes in the range of 0.02-200 μg/L, with correlation coefficients above 0.99. Limits of detection ranged from 0.01 to 0.12 μg/kg, while limits of quantification ranged from 0.02 to 0.39 μg/kg. Recoveries at three spiked levels ranged from 70.5% to 109.3%, with relative standard deviations (RSDs) below 10.8%. Matrix effects ranged from 0.82 to 1.19, indicating effective suppression of interference and reliable quantification in complex honey samples. The method was successfully applied to 42 commercial honey batches from different geographical regions. Several antibiotics were detected, including chloramphenicol, as well as other compounds without established maximum residue limits. These findings indicate potential misuse of antibiotics in beekeeping and reveal important gaps in current regulatory frameworks, underscoring the need for continuous monitoring and timely updates to residue standards. In addition to high sensitivity and wide applicability, the method demonstrated strong environmental advantages. Green performance was assessed using the AGREEprep tool, which evaluates twelve principles of sustainable sample preparation. The method achieved a high score of 0.73, reflecting minimal solvent consumption, low sorbent use, low energy demand, and negligible hazardous waste. These features align with the principles of green analytical chemistry and significantly reduce the environmental impact of residue analysis. In conclusion, this work establishes an MDSPE-HPLC-MS/MS for multi-class antibiotic residue detection in honey. The method combines simplicity, sensitivity, robustness, and environmental compatibility. It provides reliable technical support for risk assessment and regulatory improvement of antibiotic residues in honey, and it offers a valuable reference for the development of green analytical methods for trace contaminants in other complex food and environmental matrices.
, authors=Jing SUN
1, 2, Yu ZHANG
1, 4, Fengmao LIU
2, *, Wen ZHAO
1, Yue JIN
1, Lin ZHANG
1, Xiaofeng XUE
1, Rui CHEN
1, *, Huatian ZHOU
3, authorsList=Jing SUN, Yu ZHANG, Fengmao LIU, Wen ZHAO, Yue JIN, Lin ZHANG, Xiaofeng XUE, Rui CHEN, Huatian ZHOU, authorCompany=null, correspAuthors=Fengmao LIU, Rui CHEN, 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, fund=null), CN=ArticleExt(id=1321833917842305066, articleId=1321833911991250960, tenantId=1146029695717560320, journalId=1283840372199657495, language=CN, title=磁分散固相萃取-液相色谱-串联质谱法测定蜂蜜中38种抗生素残留, columnId=1284557539970879751, journalTitle=色谱, columnName=技术与应用, runingTitle=null, highlight=null, articleAbstract=
蜂蜜中抗生素残留的精准检测是保障蜂产品质量与规范用药监管的关键环节。针对蜂蜜中糖类含量高、黏度大、基质干扰强以及抗生素种类多样、残留标准覆盖有限等问题,本工作构建了一种基于混合模式亲水-疏水平衡(mHLB)磁性材料的磁分散固相萃取-高效液相色谱-串联质谱(MDSPE-HPLC-MS/MS)方法,用于蜂蜜中氯霉素、喹诺酮类和磺胺类共38种抗生素残留的定量分析。通过Plackett-Burman设计筛选影响mHLB萃取效率的关键因素,并结合响应面法系统优化MDSPE的前处理步骤,在确保分析性能的同时显著简化操作流程。在优化的MDSPE条件下(10 mg mHLB吸附5 mL样品提取液,1 mL甲醇洗脱),38种抗生素在0.02~200 μg/L范围内线性关系良好(R²>0.99),检出限为0.01~0.12 μg/kg,定量限为0.02~0.39 μg/kg,回收率为70.5%~109.3%,相对标准偏差低于10.8%。该方法可有效控制基质干扰,适用于痕量抗生素的准确定量。在42批次实际样品的应用中,检出部分禁用或尚未纳入限量目录的抗生素,提示蜂产品中潜在的用药风险与监管局限性。此外,与已有方法比较,本方法操作简便,灵敏度高,适用性强,绿色评分达0.73,具备良好的环境友好性和方法学先进性。本研究为蜂蜜中抗生素残留的风险监测和标准完善提供了可靠的技术支持,并可为复杂基质中痕量污染物的绿色分析方法的开发提供参考。
, authors=孙晶
1, 2, 张瑜
1, 4, 刘丰茂
2, *, 赵文
1, 金玥
1, 张琳
1, 薛晓锋
1, 陈蕊
1, *, 周画天
3, authorsList=孙晶, 张瑜, 刘丰茂, 赵文, 金玥, 张琳, 薛晓锋, 陈蕊, 周画天, authorCompany=null, correspAuthors=刘丰茂, 陈蕊, authorNote=null, correspAuthorsNote=
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1, 2, address=
1Institute of Apiculture Research, Chinese Academy of Agricultural Sciences, Beijing 100193, China
2College of Science, China Agricultural University, Beijing 100193, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1321833920358887484, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, authorId=1321833920144977976, language=CN, stringName=孙晶, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, 2, address=
1中国农业科学院蜜蜂研究所, 北京 100193
2中国农业大学理学院, 北京 100193, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1321833918140100651, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, xref=1, ext=[AuthorCompanyExt(id=1321833918152683564, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, companyId=1321833918140100651, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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2中国农业大学理学院, 北京 100193)])]), Author(id=1321833920459550782, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, orderNo=1, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1321833920576991297, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, authorId=1321833920459550782, language=EN, stringName=Yu ZHANG, firstName=Yu, middleName=null, lastName=ZHANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, 4, address=
1Institute of Apiculture Research, Chinese Academy of Agricultural Sciences, Beijing 100193, China
4College of Biochemical Engineering, Beijing Union University, Beijing 100101, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1321833920665071682, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, authorId=1321833920459550782, language=CN, stringName=张瑜, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, 4, address=
1中国农业科学院蜜蜂研究所, 北京 100193
4北京联合大学, 北京 100101, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1321833918140100651, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, xref=1, ext=[AuthorCompanyExt(id=1321833918152683564, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, companyId=1321833918140100651, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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1中国农业科学院蜜蜂研究所, 北京 100193)]), AuthorCompany(id=1321833920048508980, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, xref=4, ext=[AuthorCompanyExt(id=1321833920056897589, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, companyId=1321833920048508980, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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4北京联合大学, 北京 100101)])]), Author(id=1321833920748957764, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, orderNo=2, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=lfm2000@cau.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=1, authorType=1, ext={EN=AuthorExt(id=1321833920849621062, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, authorId=1321833920748957764, language=EN, stringName=Fengmao LIU, firstName=Fengmao, middleName=null, lastName=LIU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
2, *, address=
2College of Science, China Agricultural University, Beijing 100193, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1321833920925118535, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, authorId=1321833920748957764, language=CN, stringName=刘丰茂, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
2, *, address=
2中国农业大学理学院, 北京 100193, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1321833918261735470, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, xref=2, ext=[AuthorCompanyExt(id=1321833918265929775, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, companyId=1321833918261735470, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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2中国农业大学理学院, 北京 100193)])]), Author(id=1321833921013198921, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, orderNo=3, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1321833921134833739, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, authorId=1321833921013198921, language=EN, stringName=Wen ZHAO, firstName=Wen, middleName=null, lastName=ZHAO, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, address=
1Institute of Apiculture Research, Chinese Academy of Agricultural Sciences, Beijing 100193, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1321833921214525516, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, authorId=1321833921013198921, language=CN, stringName=赵文, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, address=
1中国农业科学院蜜蜂研究所, 北京 100193, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1321833918140100651, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, xref=1, ext=[AuthorCompanyExt(id=1321833918152683564, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, companyId=1321833918140100651, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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1中国农业科学院蜜蜂研究所, 北京 100193)])]), Author(id=1321833921298411598, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, orderNo=4, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1321833921403269200, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, authorId=1321833921298411598, language=EN, stringName=Yue JIN, firstName=Yue, middleName=null, lastName=JIN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, address=
1Institute of Apiculture Research, Chinese Academy of Agricultural Sciences, Beijing 100193, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1321833921470378065, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, authorId=1321833921298411598, language=CN, stringName=金玥, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1中国农业科学院蜜蜂研究所, 北京 100193, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1321833918140100651, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, xref=1, ext=[AuthorCompanyExt(id=1321833918152683564, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, companyId=1321833918140100651, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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1中国农业科学院蜜蜂研究所, 北京 100193)])]), Author(id=1321833921566847059, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, orderNo=5, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1321833921671704661, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, authorId=1321833921566847059, language=EN, stringName=Lin ZHANG, firstName=Lin, middleName=null, lastName=ZHANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, address=
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1中国农业科学院蜜蜂研究所, 北京 100193)])]), Author(id=1321833922141466717, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, orderNo=7, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=chenrui01@caas.cn, emailSecond=null, emailThird=null, correspondingAuthor=1, authorType=1, ext={EN=AuthorExt(id=1321833922246324319, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, authorId=1321833922141466717, language=EN, stringName=Rui CHEN, firstName=Rui, middleName=null, lastName=CHEN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1Institute of Apiculture Research, Chinese Academy of Agricultural Sciences, Beijing 100193, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1321833922351181920, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, authorId=1321833922141466717, language=CN, stringName=陈蕊, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1中国农业科学院蜜蜂研究所, 北京 100193, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1321833918140100651, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, xref=1, ext=[AuthorCompanyExt(id=1321833918152683564, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, companyId=1321833918140100651, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1Institute of Apiculture Research, Chinese Academy of Agricultural Sciences, Beijing 100193, China), AuthorCompanyExt(id=1321833918165266477, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, companyId=1321833918140100651, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1中国农业科学院蜜蜂研究所, 北京 100193)])]), Author(id=1321833922443456610, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, orderNo=8, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1321833922544119908, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, authorId=1321833922443456610, language=EN, stringName=Huatian ZHOU, firstName=Huatian, middleName=null, lastName=ZHOU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
3, address=
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3Zhikong Biotechnology Co., Ltd., Shanghai 201818, China), AuthorCompanyExt(id=1321833919973011507, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, companyId=1321833919952039985, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
3知孔(上海)生物科技有限公司, 上海 201818)])])], keywords=[Keyword(id=1321833922787389542, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, orderNo=1, keyword=magnetic dispersive solid-phase extraction (MDSPE)), Keyword(id=1321833924481888359, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, orderNo=2, keyword=honey), Keyword(id=1321833924569968744, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, orderNo=3, keyword=mixed-mode sorbent), Keyword(id=1321833924653854825, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, orderNo=4, keyword=antibiotic residues), Keyword(id=1321833924737740906, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, orderNo=5, keyword=green analytical chemistry), Keyword(id=1321833924830015595, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, orderNo=1, keyword=磁分散固相萃取), Keyword(id=1321833924926484588, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, orderNo=2, keyword=蜂蜜), Keyword(id=1321833925001982061, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, orderNo=3, keyword=混合模式吸附材料), Keyword(id=1321833925094256750, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, orderNo=4, keyword=抗生素残留), Keyword(id=1321833925182337135, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, orderNo=5, keyword=绿色分析化学)], refs=[Reference(id=1321833929976426636, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, doi=null, pmid=null, pmcid=null, year=2025, volume=92, issue=null, pageStart=103197, pageEnd=null, url=null, language=null, rfNumber=1, rfOrder=0, authorNames=Anshasi H, Abufarsakh B, Alkhawaldeh J F M, journalName=Complement Ther Med, refType=null, unstructuredReference=
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Operational procedure of magnetic dispersive solid-phase extraction, figureFileSmall=1dlTv7vHhlZH5DnHw1BrxA==, figureFileBig=V99DRx71mMdKxBstZt5KOA==, tableContent=null), ArticleFig(id=1321833925417218161, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, label=图1, caption=
磁分散固相萃取的操作流程mHLB: magnetic hydrophilic-lipophilic balance sorbent.
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Pareto charts of standardized effects for (a) LV, (b) QNs, and (c) SAs, figureFileSmall=r0N5F5IRoG2EIbRYvIGXlA==, figureFileBig=itd1jyuOS41Swlqvn1G4vg==, tableContent=null), ArticleFig(id=1321833925790511219, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, label=图2, caption=
(a)氯霉素、(b)喹诺酮类和(c)磺胺类标准化效应的Pareto图, figureFileSmall=r0N5F5IRoG2EIbRYvIGXlA==, figureFileBig=itd1jyuOS41Swlqvn1G4vg==, tableContent=null), ArticleFig(id=1321833925878591604, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, label=Fig.3, caption=
Standardized residual probability plot of variance analysis for response surface optimization experiment, figureFileSmall=evHr7uEMCxvtAWpptLBwbw==, figureFileBig=1hk77UiaRdkQ5Gw1LhZf8A==, tableContent=null), ArticleFig(id=1321833925987643509, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, label=图3, caption=
响应面优化实验方差分析的标准化残差概率图, figureFileSmall=evHr7uEMCxvtAWpptLBwbw==, figureFileBig=1hk77UiaRdkQ5Gw1LhZf8A==, tableContent=null), ArticleFig(id=1321833926075723894, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, label=Fig.4, caption=
Response surface plots of (a) X7X1, (b)X7X2, and (c) X7X5, figureFileSmall=wVuM2APc+6ZASG0l+OSYMw==, figureFileBig=SGBw+ILuNNsjpvQ6hdeRWw==, tableContent=null), ArticleFig(id=1321833926151221367, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, label=图4, caption=
(a)X7X1、(b)X7X2、(c)X7X5的响应曲面图, figureFileSmall=wVuM2APc+6ZASG0l+OSYMw==, figureFileBig=SGBw+ILuNNsjpvQ6hdeRWw==, tableContent=null), ArticleFig(id=1321833926235107448, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, label=Fig.5, caption=
Total ion chromatogram of the 38 types of antibiotics including chloramphenicol, quinolones, and sulfonamides in a honey sample, figureFileSmall=eri4LO7hN90P+7aGfz83Uw==, figureFileBig=XHacaPQpQRca4/uuFIsF0A==, tableContent=null), ArticleFig(id=1321833926344159353, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, label=图5, caption=
蜂蜜样品中氯霉素、喹诺酮类和磺胺类38种抗生素的总离子色谱图, figureFileSmall=eri4LO7hN90P+7aGfz83Uw==, figureFileBig=XHacaPQpQRca4/uuFIsF0A==, tableContent=null), ArticleFig(id=1321833926428045434, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, label=Fig.6, caption=
Matrix effects of the 38 antibiotics in honey, figureFileSmall=gcS9hb32soZmlzL0PF2WLA==, figureFileBig=Nb3dYEFFrxNnsZ2aVljACA==, tableContent=null), ArticleFig(id=1321833926524514427, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, label=图6, caption=
蜂蜜中38种抗生素的基质效应, figureFileSmall=gcS9hb32soZmlzL0PF2WLA==, figureFileBig=Nb3dYEFFrxNnsZ2aVljACA==, tableContent=null), ArticleFig(id=1321833926637760636, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, label=Fig.7, caption=
(a) Detection rates and (b) average detection levels of the 38 antibiotic residues in honey samples, figureFileSmall=c0HhEFicd511IQx4pYOPkg==, figureFileBig=BLekbPIgKQw6SNjWF8SlKQ==, tableContent=null), ArticleFig(id=1321833926771978365, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, label=图7, caption=
蜂蜜样品中38种抗生素残留的(a)检出率和(b)检出水平, figureFileSmall=c0HhEFicd511IQx4pYOPkg==, figureFileBig=BLekbPIgKQw6SNjWF8SlKQ==, tableContent=null), ArticleFig(id=1321833926843281534, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, label=Table 1, caption=
Mass spectrometry parameters of the 38 antibiotics
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| Compound | Abbreviation | CAS No. | Retention time/min | Parent ion (m/z) | Product ions (m/z) | CEs/eV |
|---|
| Chloramphenicol compounds (氯霉素类化合物) | CAPs | | | | | |
| Chloramphenicol(氯霉素) | LV | 56-75-7 | 8.76 | 320.9 | 257.0*, 194.0 | 8, 9 |
| Quinolone compounds (喹诺酮类化合物) | QNs | | | | | |
| Difloxacin (双氟沙星) | DIF | 98106-17-3 | 8.78 | 400.0 | 356.1*, 382.1 | 20, 20 |
| Lomefloxacin (洛美沙星) | LOM | 98079-51-7 | 8.33 | 352.0 | 265.0*, 334.0 | 24, 22 |
| Danofloxacin (达氟沙星) | DAN | 112398-08-0 | 8.26 | 358.2 | 340.1*, 255.0 | 25, 46 |
| Enrofloxacin (恩诺沙星) | ENR | 93106-60-6 | 8.17 | 360.0 | 316.2*, 342.1 | 20, 20 |
| Orbifloxacin (奥比杀星) | ORB | 113617-63-3 | 8.51 | 396.2 | 295.1*, 352.1 | 22, 15 |
| Gatifloxacin (加替沙星) | GAT | 112811-59-3 | 9.43 | 376.0 | 332.0*, 261.0 | 15, 24 |
| Marbofloxacin (马波杀星) | MAR | 115550-35-1 | 6.87 | 363.5 | 345.1*, 320.1 | 20, 10 |
| Enoxacin (依诺沙星) | ENO | 74011-58-8 | 7.46 | 321.0 | 303.1*, 232.0 | 18, 38 |
| Fleroxacin (氟罗杀星) | FLE | 79660-72-3 | 6.98 | 370.1 | 326.0*, 269.0 | 18, 28 |
| Norfloxacin (诺氟沙星) | NOR | 70458-96-7 | 7.67 | 320.0 | 302.1*, 276.1 | 20, 15 |
| Ofloxacin (氧氟沙星) | OFL | 82419-36-1 | 7.40 | 362.0 | 261.1*, 318.1 | 26, 15 |
| Pefloxacin (培氟沙星) | PEF | 70458-92-3 | 7.45 | 334.0 | 316.0*, 290.0 | 25, 20 |
| Ciprofloxacin (环丙沙星) | CIP | 85721-33-1 | 7.97 | 332.1 | 314.1*, 288.0 | 20, 24 |
| Sparfloxacin (司帕沙星) | SPA | 110871-86-8 | 9.89 | 393.1 | 349.0*, 292.0 | 21, 36 |
| Cinoxacin (西诺杀星) | CIN | 28657-80-9 | 9.88 | 263.0 | 189.0*, 217.0 | 30, 20 |
| Oxolinic acid (噁喹酸) | OXO | 14698-29-4 | 10.31 | 262.1 | 244.2*, 216.0 | 16, 15 |
| Nalidixic acid (萘啶酸) | NAL | 389-08-2 | 10.99 | 233.0 | 215.0*, 187.0 | 10, 20 |
| Flumequine (氟甲喹) | FLU | 42835-25-6 | 10.10 | 262.1 | 244.1*, 202.1 | 12, 18 |
| Sarafloxacin (沙拉沙星) | SAR | 98105-99-8 | 9.13 | 386.1 | 368.1*, 342.1 | 20, 15 |
| Sulfonamide compounds (磺胺类化合物) | SAs | | | | | |
| Sulfadiazine (磺胺嘧啶) | SDZ | 68-35-9 | 4.67 | 251.0 | 156.0*, 108.0 | 10, 22 |
| Sulfathiazole (磺胺噻唑) | STZ | 72-14-0 | 5.25 | 256.0 | 156.0*, 108.0 | 10, 25 |
| Sulfapyridine (磺胺吡啶) | SPD | 144-83-2 | 5.36 | 250.0 | 156.0*, 184.0 | 15, 15 |
| Sulfamerazine (磺胺甲基嘧啶) | SMR | 127-79-7 | 5.72 | 265.0 | 156.0*, 172.0 | 15, 15 |
| Sulfameter (磺胺对甲氧嘧啶) | SME | 651-06-9 | 6.90 | 281.0 | 156.0*, 92.0 | 10, 20 |
| Sulfamethizole (磺胺甲噻二唑) | SMI | 144-82-1 | 6.61 | 271.0 | 156.0*, 108.0 | 10, 25 |
| Sulfamethazine (磺胺二甲基嘧啶) | SMA | 57-68-1 | 6.62 | 279.0 | 186.1*, 156.0 | 15, 10 |
| Sulfamethoxypyridazine (磺胺甲氧哒嗪) | SMP | 80-35-3 | 6.45 | 281.0 | 156.0*, 92.0 | 10, 20 |
| Sulfachloropyridazine (磺胺氯哒嗪) | SCP | 80-32-0 | 7.18 | 285.0 | 156.0*, 108.0 | 15, 20 |
| Sulfamonomethoxine (磺胺间甲氧嘧啶) | SMM | 1220-83-3 | 7.65 | 281.0 | 156.0*, 92.0 | 15, 15 |
| Sulfadimethoxazole (磺胺二甲异噁唑) | SSZ | 127-69-5 | 7.97 | 268.0 | 113.0*, 156.0 | 10, 5 |
| Sulfadoxine (磺胺邻二甲氧嘧啶) | SDX | 2447-57-6 | 7.93 | 311.0 | 156.0*, 108.0 | 15, 20 |
| Sulfamethoxazole (磺胺甲噁唑) | SMX | 723-46-6 | 7.36 | 254.0 | 156.0*, 147.0 | 15, 15 |
| Benzenesulfonamide (磺胺苯酰) | SB | 98-10-2 | 8.50 | 277.1 | 156.0*, 108.0 | 6, 22 |
| Sulfaphenazole (磺胺苯吡唑) | SPZ | 526-08-9 | 9.24 | 315.0 | 160.0*, 156.0 | 20, 20 |
| Sulfaclozina (磺胺氯吡嗪) | SCZ | 102-65-8 | 7.18 | 285.0 | 156.0*, 108.0 | 10, 22 |
| Sulfadimethoxine (磺胺间二甲氧嘧啶) | SDM | 155-91-9 | 7.93 | 311.0 | 156.0*, 218.0 | 15, 20 |
| Sulfaquinoxaline (磺胺喹噁啉) | SQX | 59-40-5 | 10.13 | 301.1 | 92.0*, 156.0 | 29, 11 |
), ArticleFig(id=1321833926943944831, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, label=表1, caption=
38种抗生素的质谱参数
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| Compound | Abbreviation | CAS No. | Retention time/min | Parent ion (m/z) | Product ions (m/z) | CEs/eV |
|---|
| Chloramphenicol compounds (氯霉素类化合物) | CAPs | | | | | |
| Chloramphenicol(氯霉素) | LV | 56-75-7 | 8.76 | 320.9 | 257.0*, 194.0 | 8, 9 |
| Quinolone compounds (喹诺酮类化合物) | QNs | | | | | |
| Difloxacin (双氟沙星) | DIF | 98106-17-3 | 8.78 | 400.0 | 356.1*, 382.1 | 20, 20 |
| Lomefloxacin (洛美沙星) | LOM | 98079-51-7 | 8.33 | 352.0 | 265.0*, 334.0 | 24, 22 |
| Danofloxacin (达氟沙星) | DAN | 112398-08-0 | 8.26 | 358.2 | 340.1*, 255.0 | 25, 46 |
| Enrofloxacin (恩诺沙星) | ENR | 93106-60-6 | 8.17 | 360.0 | 316.2*, 342.1 | 20, 20 |
| Orbifloxacin (奥比杀星) | ORB | 113617-63-3 | 8.51 | 396.2 | 295.1*, 352.1 | 22, 15 |
| Gatifloxacin (加替沙星) | GAT | 112811-59-3 | 9.43 | 376.0 | 332.0*, 261.0 | 15, 24 |
| Marbofloxacin (马波杀星) | MAR | 115550-35-1 | 6.87 | 363.5 | 345.1*, 320.1 | 20, 10 |
| Enoxacin (依诺沙星) | ENO | 74011-58-8 | 7.46 | 321.0 | 303.1*, 232.0 | 18, 38 |
| Fleroxacin (氟罗杀星) | FLE | 79660-72-3 | 6.98 | 370.1 | 326.0*, 269.0 | 18, 28 |
| Norfloxacin (诺氟沙星) | NOR | 70458-96-7 | 7.67 | 320.0 | 302.1*, 276.1 | 20, 15 |
| Ofloxacin (氧氟沙星) | OFL | 82419-36-1 | 7.40 | 362.0 | 261.1*, 318.1 | 26, 15 |
| Pefloxacin (培氟沙星) | PEF | 70458-92-3 | 7.45 | 334.0 | 316.0*, 290.0 | 25, 20 |
| Ciprofloxacin (环丙沙星) | CIP | 85721-33-1 | 7.97 | 332.1 | 314.1*, 288.0 | 20, 24 |
| Sparfloxacin (司帕沙星) | SPA | 110871-86-8 | 9.89 | 393.1 | 349.0*, 292.0 | 21, 36 |
| Cinoxacin (西诺杀星) | CIN | 28657-80-9 | 9.88 | 263.0 | 189.0*, 217.0 | 30, 20 |
| Oxolinic acid (噁喹酸) | OXO | 14698-29-4 | 10.31 | 262.1 | 244.2*, 216.0 | 16, 15 |
| Nalidixic acid (萘啶酸) | NAL | 389-08-2 | 10.99 | 233.0 | 215.0*, 187.0 | 10, 20 |
| Flumequine (氟甲喹) | FLU | 42835-25-6 | 10.10 | 262.1 | 244.1*, 202.1 | 12, 18 |
| Sarafloxacin (沙拉沙星) | SAR | 98105-99-8 | 9.13 | 386.1 | 368.1*, 342.1 | 20, 15 |
| Sulfonamide compounds (磺胺类化合物) | SAs | | | | | |
| Sulfadiazine (磺胺嘧啶) | SDZ | 68-35-9 | 4.67 | 251.0 | 156.0*, 108.0 | 10, 22 |
| Sulfathiazole (磺胺噻唑) | STZ | 72-14-0 | 5.25 | 256.0 | 156.0*, 108.0 | 10, 25 |
| Sulfapyridine (磺胺吡啶) | SPD | 144-83-2 | 5.36 | 250.0 | 156.0*, 184.0 | 15, 15 |
| Sulfamerazine (磺胺甲基嘧啶) | SMR | 127-79-7 | 5.72 | 265.0 | 156.0*, 172.0 | 15, 15 |
| Sulfameter (磺胺对甲氧嘧啶) | SME | 651-06-9 | 6.90 | 281.0 | 156.0*, 92.0 | 10, 20 |
| Sulfamethizole (磺胺甲噻二唑) | SMI | 144-82-1 | 6.61 | 271.0 | 156.0*, 108.0 | 10, 25 |
| Sulfamethazine (磺胺二甲基嘧啶) | SMA | 57-68-1 | 6.62 | 279.0 | 186.1*, 156.0 | 15, 10 |
| Sulfamethoxypyridazine (磺胺甲氧哒嗪) | SMP | 80-35-3 | 6.45 | 281.0 | 156.0*, 92.0 | 10, 20 |
| Sulfachloropyridazine (磺胺氯哒嗪) | SCP | 80-32-0 | 7.18 | 285.0 | 156.0*, 108.0 | 15, 20 |
| Sulfamonomethoxine (磺胺间甲氧嘧啶) | SMM | 1220-83-3 | 7.65 | 281.0 | 156.0*, 92.0 | 15, 15 |
| Sulfadimethoxazole (磺胺二甲异噁唑) | SSZ | 127-69-5 | 7.97 | 268.0 | 113.0*, 156.0 | 10, 5 |
| Sulfadoxine (磺胺邻二甲氧嘧啶) | SDX | 2447-57-6 | 7.93 | 311.0 | 156.0*, 108.0 | 15, 20 |
| Sulfamethoxazole (磺胺甲噁唑) | SMX | 723-46-6 | 7.36 | 254.0 | 156.0*, 147.0 | 15, 15 |
| Benzenesulfonamide (磺胺苯酰) | SB | 98-10-2 | 8.50 | 277.1 | 156.0*, 108.0 | 6, 22 |
| Sulfaphenazole (磺胺苯吡唑) | SPZ | 526-08-9 | 9.24 | 315.0 | 160.0*, 156.0 | 20, 20 |
| Sulfaclozina (磺胺氯吡嗪) | SCZ | 102-65-8 | 7.18 | 285.0 | 156.0*, 108.0 | 10, 22 |
| Sulfadimethoxine (磺胺间二甲氧嘧啶) | SDM | 155-91-9 | 7.93 | 311.0 | 156.0*, 218.0 | 15, 20 |
| Sulfaquinoxaline (磺胺喹噁啉) | SQX | 59-40-5 | 10.13 | 301.1 | 92.0*, 156.0 | 29, 11 |
), ArticleFig(id=1321833927040413824, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, label=Table 2, caption=
Plackett-Burman experimental design and results
, figureFileSmall=null, figureFileBig=null, tableContent=
| Running sequence | X1/mg | X2/mL | X3/min | X4/mL | X5/mL | X6/min | X7/% | Recoveries/% |
|---|
| LV | QNs | SAs |
|---|
| 1 | 5.0 | 1.0 | 0.5 | 1.0 | 0.5 | 0.5 | 20 | 1.9 | 6.7 | 5.0 |
| 2 | 5.0 | 1.0 | 0.5 | 3.0 | 2.0 | 0.5 | 100 | 118.8 | 87.2 | 75.5 |
| 3 | 30.0 | 5.0 | 0.5 | 3.0 | 2.0 | 0.5 | 100 | 123.1 | 88.9 | 80.4 |
| 4 | 5.0 | 5.0 | 0.5 | 1.0 | 0.5 | 3.0 | 100 | 169.7 | 80.1 | 67.4 |
| 5 | 30.0 | 1.0 | 0.5 | 1.0 | 2.0 | 3.0 | 20 | 2.0 | 6.7 | 6.3 |
| 6 | 30.0 | 5.0 | 0.5 | 3.0 | 0.5 | 3.0 | 20 | 0.0 | 0.4 | 0.2 |
| 7 | 30.0 | 5.0 | 3.0 | 1.0 | 2.0 | 0.5 | 20 | 2.0 | 9.6 | 4.3 |
| 8 | 30.0 | 1.0 | 3.0 | 1.0 | 0.5 | 0.5 | 100 | 122.5 | 39.6 | 50.8 |
| 9 | 5.0 | 5.0 | 3.0 | 3.0 | 0.5 | 0.5 | 20 | 2.4 | 9.6 | 5.3 |
| 10 | 5.0 | 1.0 | 3.0 | 3.0 | 2.0 | 3.0 | 20 | 11.0 | 19.5 | 21.9 |
| 11 | 5.0 | 5.0 | 3.0 | 1.0 | 2.0 | 3.0 | 100 | 126.7 | 85.6 | 78.3 |
| 12 | 30.0 | 1.0 | 3.0 | 3.0 | 0.5 | 3.0 | 100 | 175.9 | 49.0 | 62.8 |
), ArticleFig(id=1321833927128494209, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, label=表2, caption=
Plackett-Burman实验设计及结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| Running sequence | X1/mg | X2/mL | X3/min | X4/mL | X5/mL | X6/min | X7/% | Recoveries/% |
|---|
| LV | QNs | SAs |
|---|
| 1 | 5.0 | 1.0 | 0.5 | 1.0 | 0.5 | 0.5 | 20 | 1.9 | 6.7 | 5.0 |
| 2 | 5.0 | 1.0 | 0.5 | 3.0 | 2.0 | 0.5 | 100 | 118.8 | 87.2 | 75.5 |
| 3 | 30.0 | 5.0 | 0.5 | 3.0 | 2.0 | 0.5 | 100 | 123.1 | 88.9 | 80.4 |
| 4 | 5.0 | 5.0 | 0.5 | 1.0 | 0.5 | 3.0 | 100 | 169.7 | 80.1 | 67.4 |
| 5 | 30.0 | 1.0 | 0.5 | 1.0 | 2.0 | 3.0 | 20 | 2.0 | 6.7 | 6.3 |
| 6 | 30.0 | 5.0 | 0.5 | 3.0 | 0.5 | 3.0 | 20 | 0.0 | 0.4 | 0.2 |
| 7 | 30.0 | 5.0 | 3.0 | 1.0 | 2.0 | 0.5 | 20 | 2.0 | 9.6 | 4.3 |
| 8 | 30.0 | 1.0 | 3.0 | 1.0 | 0.5 | 0.5 | 100 | 122.5 | 39.6 | 50.8 |
| 9 | 5.0 | 5.0 | 3.0 | 3.0 | 0.5 | 0.5 | 20 | 2.4 | 9.6 | 5.3 |
| 10 | 5.0 | 1.0 | 3.0 | 3.0 | 2.0 | 3.0 | 20 | 11.0 | 19.5 | 21.9 |
| 11 | 5.0 | 5.0 | 3.0 | 1.0 | 2.0 | 3.0 | 100 | 126.7 | 85.6 | 78.3 |
| 12 | 30.0 | 1.0 | 3.0 | 3.0 | 0.5 | 3.0 | 100 | 175.9 | 49.0 | 62.8 |
), ArticleFig(id=1321833927220768898, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, label=Table 3, caption=
Analysis of variance results of Plackett-Burman experiment
, figureFileSmall=null, figureFileBig=null, tableContent=
| Source | CAP | QNs | SAs |
|---|
| F-value | P-value | Significance | F-value | P-value | Significance | F-value | P-value | Significance |
|---|
| Model | 19.93 | 0.006 | ** | 131.56 | 0.000 | ** | 69.20 | 0.001 | ** |
| Linear | 19.93 | 0.006 | ** | 131.56 | 0.000 | ** | 69.20 | 0.001 | ** |
| X1 | 0.00 | 0.948 | — | 47.80 | 0.002 | ** | 7.69 | 0.050 | * |
| X2 | 0.01 | 0.913 | — | 22.85 | 0.009 | ** | 0.62 | 0.476 | — |
| X3 | 0.13 | 0.739 | — | 17.30 | 0.014 | * | 0.41 | 0.557 | — |
| X4 | 0.01 | 0.930 | — | 3.71 | 0.126 | — | 3.79 | 0.123 | — |
| X5 | 1.60 | 0.275 | — | 66.92 | 0.001 | ** | 18.46 | 0.013 | * |
| X6 | 2.65 | 0.179 | — | 0.00 | 0.984 | — | 0.79 | 0.425 | — |
| X7 | 135.07 | 0.000 | ** | 762.34 | 0.000 | ** | 452.62 | 0.000 | ** |
| R2 | 0.9721 0.9233 | 0.9957 0.9881 | 0.9818 0.9775 |
| Adj. R2 |
), ArticleFig(id=1321833928973987971, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, label=表3, caption=
Plackett-Burman实验方差分析结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| Source | CAP | QNs | SAs |
|---|
| F-value | P-value | Significance | F-value | P-value | Significance | F-value | P-value | Significance |
|---|
| Model | 19.93 | 0.006 | ** | 131.56 | 0.000 | ** | 69.20 | 0.001 | ** |
| Linear | 19.93 | 0.006 | ** | 131.56 | 0.000 | ** | 69.20 | 0.001 | ** |
| X1 | 0.00 | 0.948 | — | 47.80 | 0.002 | ** | 7.69 | 0.050 | * |
| X2 | 0.01 | 0.913 | — | 22.85 | 0.009 | ** | 0.62 | 0.476 | — |
| X3 | 0.13 | 0.739 | — | 17.30 | 0.014 | * | 0.41 | 0.557 | — |
| X4 | 0.01 | 0.930 | — | 3.71 | 0.126 | — | 3.79 | 0.123 | — |
| X5 | 1.60 | 0.275 | — | 66.92 | 0.001 | ** | 18.46 | 0.013 | * |
| X6 | 2.65 | 0.179 | — | 0.00 | 0.984 | — | 0.79 | 0.425 | — |
| X7 | 135.07 | 0.000 | ** | 762.34 | 0.000 | ** | 452.62 | 0.000 | ** |
| R2 | 0.9721 0.9233 | 0.9957 0.9881 | 0.9818 0.9775 |
| Adj. R2 |
), ArticleFig(id=1321833929083039876, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, label=Table 4, caption=
Experimental design for response surface optimization
, figureFileSmall=null, figureFileBig=null, tableContent=
| Running sequence | X1/mg | X2/mL | X5/mL | X7/% | Recovery/% |
|---|
| 1 | 17.5 | 3 | 0.5 | 20 | 3.3 |
| 2 | 17.5 | 3 | 0.5 | 100 | 67.2 |
| 3 | 17.5 | 3 | 2 | 20 | 12.6 |
| 4 | 17.5 | 3 | 2 | 100 | 56.3 |
| 5 | 5 | 1 | 1.25 | 60 | 64.7 |
| 6 | 30 | 1 | 1.25 | 60 | 38.4 |
| 7 | 5 | 5 | 1.25 | 60 | 50.8 |
| 8 | 30 | 5 | 1.25 | 60 | 46.2 |
| 9 | 17.5 | 1 | 1.25 | 20 | 9.1 |
| 10 | 17.5 | 1 | 1.25 | 100 | 80.6 |
| 11 | 17.5 | 5 | 1.25 | 20 | 8.0 |
| 12 | 17.5 | 5 | 1.25 | 100 | 68.4 |
| 13 | 5 | 3 | 0.5 | 60 | 59.7 |
| 14 | 5 | 3 | 2 | 60 | 59.5 |
| 15 | 30 | 3 | 0.5 | 60 | 29.0 |
| 16 | 30 | 3 | 2 | 60 | 47.1 |
| 17 | 5 | 3 | 1.25 | 20 | 15.2 |
| 18 | 5 | 3 | 1.25 | 100 | 47.2 |
| 19 | 30 | 3 | 1.25 | 20 | 5.1 |
| 20 | 30 | 3 | 1.25 | 100 | 41.6 |
| 21 | 17.5 | 1 | 0.5 | 60 | 35.8 |
| 22 | 17.5 | 1 | 2 | 60 | 74.0 |
| 23 | 17.5 | 5 | 0.5 | 60 | 50.0 |
| 24 | 17.5 | 5 | 2 | 60 | 74.2 |
| 25 | 17.5 | 3 | 1.25 | 60 | 47.6 |
| 26 | 17.5 | 3 | 1.25 | 60 | 51.9 |
| 27 | 17.5 | 3 | 1.25 | 60 | 38.5 |
), ArticleFig(id=1321833929204674693, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, label=表4, caption=
响应面优化实验设计
, figureFileSmall=null, figureFileBig=null, tableContent=
| Running sequence | X1/mg | X2/mL | X5/mL | X7/% | Recovery/% |
|---|
| 1 | 17.5 | 3 | 0.5 | 20 | 3.3 |
| 2 | 17.5 | 3 | 0.5 | 100 | 67.2 |
| 3 | 17.5 | 3 | 2 | 20 | 12.6 |
| 4 | 17.5 | 3 | 2 | 100 | 56.3 |
| 5 | 5 | 1 | 1.25 | 60 | 64.7 |
| 6 | 30 | 1 | 1.25 | 60 | 38.4 |
| 7 | 5 | 5 | 1.25 | 60 | 50.8 |
| 8 | 30 | 5 | 1.25 | 60 | 46.2 |
| 9 | 17.5 | 1 | 1.25 | 20 | 9.1 |
| 10 | 17.5 | 1 | 1.25 | 100 | 80.6 |
| 11 | 17.5 | 5 | 1.25 | 20 | 8.0 |
| 12 | 17.5 | 5 | 1.25 | 100 | 68.4 |
| 13 | 5 | 3 | 0.5 | 60 | 59.7 |
| 14 | 5 | 3 | 2 | 60 | 59.5 |
| 15 | 30 | 3 | 0.5 | 60 | 29.0 |
| 16 | 30 | 3 | 2 | 60 | 47.1 |
| 17 | 5 | 3 | 1.25 | 20 | 15.2 |
| 18 | 5 | 3 | 1.25 | 100 | 47.2 |
| 19 | 30 | 3 | 1.25 | 20 | 5.1 |
| 20 | 30 | 3 | 1.25 | 100 | 41.6 |
| 21 | 17.5 | 1 | 0.5 | 60 | 35.8 |
| 22 | 17.5 | 1 | 2 | 60 | 74.0 |
| 23 | 17.5 | 5 | 0.5 | 60 | 50.0 |
| 24 | 17.5 | 5 | 2 | 60 | 74.2 |
| 25 | 17.5 | 3 | 1.25 | 60 | 47.6 |
| 26 | 17.5 | 3 | 1.25 | 60 | 51.9 |
| 27 | 17.5 | 3 | 1.25 | 60 | 38.5 |
), ArticleFig(id=1321833929288560774, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, label=Table 5, caption=
Analysis of variance results for response surface optimization experiments
, figureFileSmall=null, figureFileBig=null, tableContent=
| Source | Sum of squares | df | Mean square | F-value | P-value | Significance |
|---|
R2 Adj. R2 | 0.8974 0.7777 | | | | | |
| Model | 12007.74 | 14 | 857.7 | 7.5 | 0.0006 | ** |
| X1 | 672.19 | 1 | 672.19 | 5.88 | 0.0321 | * |
| X2 | 2.08 | 1 | 2.08 | 0.0181 | 0.8951 | — |
| X5 | 515.47 | 1 | 515.47 | 4.51 | 0.0453 | * |
| X7 | 7898.35 | 1 | 7 898.35 | 69.04 | <0.0001 | ** |
| X7X5 | 101.87 | 1 | 101.87 | 0.8904 | 0.0364 | * |
| X7X1 | 4.78 | 1 | 4.78 | 0.0417 | 0.8415 | — |
| X7X2 | 30.59 | 1 | 30.59 | 0.2674 | 0.6145 | — |
| X5X1 | 82.73 | 1 | 82.73 | 0.7231 | 0.4118 | — |
| X5X2 | 49.36 | 1 | 49.36 | 0.4315 | 0.0507 | — |
| X1X2 | 116.65 | 1 | 116.65 | 1.02 | 0.3325 | — |
| X1² | 62.74 | 1 | 62.74 | 0.5484 | 0.4732 | — |
| X2² | 386.67 | 1 | 386.67 | 3.38 | 0.0099 | ** |
| X5² | 112.53 | 1 | 112.53 | 0.9836 | 0.3409 | — |
| X7² | 1149.42 | 1 | 1 149.42 | 10.05 | 0.0081 | ** |
| Residual | 1372.86 | 12 | 114.4 | | | |
| Lack of fit | 1280.24 | 10 | 128.02 | 2.76 | 0.2948 | — |
| Pure error | 92.62 | 2 | 46.31 | | | |
| Cor total | 13380.6 | 26 | | | | |
), ArticleFig(id=1321833929410195591, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, label=表5, caption=
响应面优化实验方差分析结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| Source | Sum of squares | df | Mean square | F-value | P-value | Significance |
|---|
R2 Adj. R2 | 0.8974 0.7777 | | | | | |
| Model | 12007.74 | 14 | 857.7 | 7.5 | 0.0006 | ** |
| X1 | 672.19 | 1 | 672.19 | 5.88 | 0.0321 | * |
| X2 | 2.08 | 1 | 2.08 | 0.0181 | 0.8951 | — |
| X5 | 515.47 | 1 | 515.47 | 4.51 | 0.0453 | * |
| X7 | 7898.35 | 1 | 7 898.35 | 69.04 | <0.0001 | ** |
| X7X5 | 101.87 | 1 | 101.87 | 0.8904 | 0.0364 | * |
| X7X1 | 4.78 | 1 | 4.78 | 0.0417 | 0.8415 | — |
| X7X2 | 30.59 | 1 | 30.59 | 0.2674 | 0.6145 | — |
| X5X1 | 82.73 | 1 | 82.73 | 0.7231 | 0.4118 | — |
| X5X2 | 49.36 | 1 | 49.36 | 0.4315 | 0.0507 | — |
| X1X2 | 116.65 | 1 | 116.65 | 1.02 | 0.3325 | — |
| X1² | 62.74 | 1 | 62.74 | 0.5484 | 0.4732 | — |
| X2² | 386.67 | 1 | 386.67 | 3.38 | 0.0099 | ** |
| X5² | 112.53 | 1 | 112.53 | 0.9836 | 0.3409 | — |
| X7² | 1149.42 | 1 | 1 149.42 | 10.05 | 0.0081 | ** |
| Residual | 1372.86 | 12 | 114.4 | | | |
| Lack of fit | 1280.24 | 10 | 128.02 | 2.76 | 0.2948 | — |
| Pure error | 92.62 | 2 | 46.31 | | | |
| Cor total | 13380.6 | 26 | | | | |
), ArticleFig(id=1321833929506664584, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, label=Table 6, caption=
Linear relationships, LODs, LOQs, recoveries and RSDs at different levels (n=3) of the 38 antibiotics in honey
, figureFileSmall=null, figureFileBig=null, tableContent=
| Compound | Linear range/(μg/L) | R2 | LOD/(μg/kg) | LOQ/(μg/kg) | 1 μg/kg | 10 μg/kg | 100 μg/kg |
|---|
| Recovery/% | RSD/% | Recovery/% | RSD/% | Recovery/% | RSD/% |
|---|
| CAPs | | | | | | | | | | |
| LV | 0.02-100 | 0.9969 | 0.01 | 0.03 | 85.2 | 8.3 | 82.4 | 6.9 | 88.7 | 5.2 |
| QNs | | | | | | | | | | |
| DIF | 0.1-100 | 0.9982 | 0.01 | 0.03 | 75.2 | 6.3 | 73.1 | 9.9 | 73.2 | 7.5 |
| LOM | 0.1-100 | 0.9952 | 0.01 | 0.02 | 71.2 | 2.4 | 82.6 | 5.8 | 98.0 | 10.8 |
| DAN | 0.1-100 | 0.9944 | 0.01 | 0.06 | 84.9 | 9.1 | 109.3 | 8.2 | 105.8 | 7.2 |
| ENR | 0.1-100 | 0.9994 | 0.01 | 0.02 | 84.4 | 7.6 | 86.7 | 5.3 | 91.6 | 5.8 |
| ORB | 0.1-100 | 0.9908 | 0.01 | 0.02 | 74.9 | 2.2 | 79.2 | 7.0 | 84.7 | 4.7 |
| GAT | 0.1-100 | 0.9960 | 0.01 | 0.02 | 70.4 | 3.7 | 81.1 | 8.5 | 86.3 | 2.3 |
| MAR | 0.1-100 | 0.9963 | 0.01 | 0.02 | 74.4 | 3.3 | 86.8 | 2.3 | 85.1 | 4.3 |
| ENO | 0.1-100 | 0.9949 | 0.01 | 0.03 | 71.7 | 3.4 | 98.8 | 4.8 | 100.7 | 4.9 |
| FLE | 0.1-100 | 0.9966 | 0.01 | 0.02 | 79.0 | 0.7 | 86.7 | 2.4 | 92.8 | 7.5 |
| NOR | 0.1-100 | 1.0000 | 0.03 | 0.08 | 72.8 | 4.0 | 101.3 | 3.8 | 103.9 | 4.6 |
| OFL | 0.1-100 | 0.9990 | 0.01 | 0.02 | 83.0 | 9.8 | 87.7 | 2.5 | 94.5 | 6.5 |
| PEF | 0.1-100 | 0.9992 | 0.01 | 0.04 | 103.7 | 5.4 | 102.0 | 5.6 | 101.6 | 6.2 |
| CIP | 0.1-100 | 1.0000 | 0.01 | 0.03 | 70.7 | 4.3 | 85.9 | 4.6 | 100.6 | 9.9 |
| SPA | 0.1-100 | 0.9993 | 0.01 | 0.02 | 73.2 | 7.5 | 81.3 | 5.9 | 91.8 | 2.4 |
| CIN | 0.1-100 | 0.9999 | 0.02 | 0.04 | 70.9 | 6.3 | 71.6 | 3.8 | 72.9 | 3.7 |
| OXO | 0.1-100 | 0.9913 | 0.01 | 0.03 | 72.0 | 8.9 | 73.8 | 1.4 | 91.3 | 7.9 |
| NAL | 0.1-100 | 0.9932 | 0.01 | 0.02 | 72.5 | 0.4 | 75.6 | 4.5 | 80.7 | 0.1 |
| FLU | 0.1-100 | 0.9914 | 0.01 | 0.03 | 70.5 | 9.2 | 77.3 | 0.9 | 86.2 | 1.6 |
| SAR | 0.1-100 | 0.9998 | 0.01 | 0.02 | 71.8 | 7.7 | 85.2 | 7.4 | 85.4 | 8.1 |
| SAs | | | | | | | | | | |
| SDZ | 0.1-200 | 1.0000 | 0.04 | 0.12 | 70.8 | 4.3 | 72.9 | 2.5 | 77.7 | 1.3 |
| STZ | 0.1-200 | 0.9979 | 0.02 | 0.04 | 71.1 | 2.8 | 80.4 | 0.8 | 79.8 | 0.7 |
| SPD | 0.1-200 | 0.9997 | 0.01 | 0.03 | 71.4 | 5.8 | 73.3 | 0.8 | 75.6 | 2.8 |
| SMR | 0.1-200 | 1.0000 | 0.02 | 0.06 | 75.6 | 2.8 | 73.8 | 1.2 | 84.7 | 0.8 |
| SME | 0.1-200 | 1.0000 | 0.01 | 0.04 | 72.7 | 3.2 | 76.0 | 2.5 | 82.6 | 1.7 |
| SMI | 0.1-200 | 0.9996 | 0.03 | 0.08 | 71.3 | 3.6 | 72.7 | 3.2 | 76.6 | 2.2 |
| SMA | 0.1-200 | 1.0000 | 0.02 | 0.05 | 75.4 | 4.3 | 76.8 | 0.8 | 81.9 | 1.2 |
| SMP | 0.1-200 | 0.9998 | 0.02 | 0.04 | 72.6 | 5.8 | 71.8 | 2.9 | 81.7 | 1.7 |
| SCP | 0.1-200 | 0.9977 | 0.03 | 0.09 | 72.2 | 4.0 | 74.1 | 1.8 | 82.0 | 0.9 |
| SMM | 0.1-200 | 0.9983 | 0.03 | 0.09 | 71.7 | 4.1 | 74.4 | 5.5 | 84.2 | 1.7 |
| SSZ | 0.1-200 | 0.9998 | 0.10 | 0.33 | 75.7 | 1.1 | 77.6 | 1.2 | 77.6 | 1.2 |
| SDX | 0.1-200 | 0.9999 | 0.02 | 0.06 | 71.7 | 2.7 | 74.2 | 0.8 | 82.2 | 0.3 |
| SMX | 0.1-200 | 0.9998 | 0.03 | 0.08 | 72.5 | 4.6 | 74.3 | 3.0 | 80.7 | 0.7 |
| SB | 0.1-200 | 1.0000 | 0.02 | 0.07 | 76.5 | 3.1 | 71.4 | 1.6 | 78.6 | 1.2 |
| SPZ | 0.1-200 | 1.0000 | 0.03 | 0.1 | 75.9 | 5.3 | 72.1 | 1.9 | 83.2 | 0.9 |
| SCZ | 0.1-200 | 0.9998 | 0.12 | 0.39 | 72.0 | 2.2 | 71.6 | 0.3 | 83.1 | 1.7 |
| SDM | 0.1-200 | 1.0000 | 0.02 | 0.05 | 70.5 | 1.2 | 70.5 | 1.2 | 83.4 | 0.4 |
| SQX | 0.1-200 | 0.9998 | 0.02 | 0.06 | 81.5 | 1.5 | 72.5 | 0.9 | 78.5 | 2.5 |
), ArticleFig(id=1321833929598939273, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, label=表6, caption=
蜂蜜中38种抗生素的线性关系、检出限、定量限以及不同水平下的回收率和RSD(n=3)
, figureFileSmall=null, figureFileBig=null, tableContent=
| Compound | Linear range/(μg/L) | R2 | LOD/(μg/kg) | LOQ/(μg/kg) | 1 μg/kg | 10 μg/kg | 100 μg/kg |
|---|
| Recovery/% | RSD/% | Recovery/% | RSD/% | Recovery/% | RSD/% |
|---|
| CAPs | | | | | | | | | | |
| LV | 0.02-100 | 0.9969 | 0.01 | 0.03 | 85.2 | 8.3 | 82.4 | 6.9 | 88.7 | 5.2 |
| QNs | | | | | | | | | | |
| DIF | 0.1-100 | 0.9982 | 0.01 | 0.03 | 75.2 | 6.3 | 73.1 | 9.9 | 73.2 | 7.5 |
| LOM | 0.1-100 | 0.9952 | 0.01 | 0.02 | 71.2 | 2.4 | 82.6 | 5.8 | 98.0 | 10.8 |
| DAN | 0.1-100 | 0.9944 | 0.01 | 0.06 | 84.9 | 9.1 | 109.3 | 8.2 | 105.8 | 7.2 |
| ENR | 0.1-100 | 0.9994 | 0.01 | 0.02 | 84.4 | 7.6 | 86.7 | 5.3 | 91.6 | 5.8 |
| ORB | 0.1-100 | 0.9908 | 0.01 | 0.02 | 74.9 | 2.2 | 79.2 | 7.0 | 84.7 | 4.7 |
| GAT | 0.1-100 | 0.9960 | 0.01 | 0.02 | 70.4 | 3.7 | 81.1 | 8.5 | 86.3 | 2.3 |
| MAR | 0.1-100 | 0.9963 | 0.01 | 0.02 | 74.4 | 3.3 | 86.8 | 2.3 | 85.1 | 4.3 |
| ENO | 0.1-100 | 0.9949 | 0.01 | 0.03 | 71.7 | 3.4 | 98.8 | 4.8 | 100.7 | 4.9 |
| FLE | 0.1-100 | 0.9966 | 0.01 | 0.02 | 79.0 | 0.7 | 86.7 | 2.4 | 92.8 | 7.5 |
| NOR | 0.1-100 | 1.0000 | 0.03 | 0.08 | 72.8 | 4.0 | 101.3 | 3.8 | 103.9 | 4.6 |
| OFL | 0.1-100 | 0.9990 | 0.01 | 0.02 | 83.0 | 9.8 | 87.7 | 2.5 | 94.5 | 6.5 |
| PEF | 0.1-100 | 0.9992 | 0.01 | 0.04 | 103.7 | 5.4 | 102.0 | 5.6 | 101.6 | 6.2 |
| CIP | 0.1-100 | 1.0000 | 0.01 | 0.03 | 70.7 | 4.3 | 85.9 | 4.6 | 100.6 | 9.9 |
| SPA | 0.1-100 | 0.9993 | 0.01 | 0.02 | 73.2 | 7.5 | 81.3 | 5.9 | 91.8 | 2.4 |
| CIN | 0.1-100 | 0.9999 | 0.02 | 0.04 | 70.9 | 6.3 | 71.6 | 3.8 | 72.9 | 3.7 |
| OXO | 0.1-100 | 0.9913 | 0.01 | 0.03 | 72.0 | 8.9 | 73.8 | 1.4 | 91.3 | 7.9 |
| NAL | 0.1-100 | 0.9932 | 0.01 | 0.02 | 72.5 | 0.4 | 75.6 | 4.5 | 80.7 | 0.1 |
| FLU | 0.1-100 | 0.9914 | 0.01 | 0.03 | 70.5 | 9.2 | 77.3 | 0.9 | 86.2 | 1.6 |
| SAR | 0.1-100 | 0.9998 | 0.01 | 0.02 | 71.8 | 7.7 | 85.2 | 7.4 | 85.4 | 8.1 |
| SAs | | | | | | | | | | |
| SDZ | 0.1-200 | 1.0000 | 0.04 | 0.12 | 70.8 | 4.3 | 72.9 | 2.5 | 77.7 | 1.3 |
| STZ | 0.1-200 | 0.9979 | 0.02 | 0.04 | 71.1 | 2.8 | 80.4 | 0.8 | 79.8 | 0.7 |
| SPD | 0.1-200 | 0.9997 | 0.01 | 0.03 | 71.4 | 5.8 | 73.3 | 0.8 | 75.6 | 2.8 |
| SMR | 0.1-200 | 1.0000 | 0.02 | 0.06 | 75.6 | 2.8 | 73.8 | 1.2 | 84.7 | 0.8 |
| SME | 0.1-200 | 1.0000 | 0.01 | 0.04 | 72.7 | 3.2 | 76.0 | 2.5 | 82.6 | 1.7 |
| SMI | 0.1-200 | 0.9996 | 0.03 | 0.08 | 71.3 | 3.6 | 72.7 | 3.2 | 76.6 | 2.2 |
| SMA | 0.1-200 | 1.0000 | 0.02 | 0.05 | 75.4 | 4.3 | 76.8 | 0.8 | 81.9 | 1.2 |
| SMP | 0.1-200 | 0.9998 | 0.02 | 0.04 | 72.6 | 5.8 | 71.8 | 2.9 | 81.7 | 1.7 |
| SCP | 0.1-200 | 0.9977 | 0.03 | 0.09 | 72.2 | 4.0 | 74.1 | 1.8 | 82.0 | 0.9 |
| SMM | 0.1-200 | 0.9983 | 0.03 | 0.09 | 71.7 | 4.1 | 74.4 | 5.5 | 84.2 | 1.7 |
| SSZ | 0.1-200 | 0.9998 | 0.10 | 0.33 | 75.7 | 1.1 | 77.6 | 1.2 | 77.6 | 1.2 |
| SDX | 0.1-200 | 0.9999 | 0.02 | 0.06 | 71.7 | 2.7 | 74.2 | 0.8 | 82.2 | 0.3 |
| SMX | 0.1-200 | 0.9998 | 0.03 | 0.08 | 72.5 | 4.6 | 74.3 | 3.0 | 80.7 | 0.7 |
| SB | 0.1-200 | 1.0000 | 0.02 | 0.07 | 76.5 | 3.1 | 71.4 | 1.6 | 78.6 | 1.2 |
| SPZ | 0.1-200 | 1.0000 | 0.03 | 0.1 | 75.9 | 5.3 | 72.1 | 1.9 | 83.2 | 0.9 |
| SCZ | 0.1-200 | 0.9998 | 0.12 | 0.39 | 72.0 | 2.2 | 71.6 | 0.3 | 83.1 | 1.7 |
| SDM | 0.1-200 | 1.0000 | 0.02 | 0.05 | 70.5 | 1.2 | 70.5 | 1.2 | 83.4 | 0.4 |
| SQX | 0.1-200 | 0.9998 | 0.02 | 0.06 | 81.5 | 1.5 | 72.5 | 0.9 | 78.5 | 2.5 |
), ArticleFig(id=1321833929724768394, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=EN, label=Table 7, caption=
Comparison of this method with other reported methods for detecting antibiotic residues in honey
, figureFileSmall=null, figureFileBig=null, tableContent=
| Compounds (quantity) | Pretreatment method | Determination/detection | LOD/(μg/kg) | LOQ/(μg/kg) | Recovery/% | AGREE assessment | Ref. |
|---|
| LV | LLE | LC-ESI-MS/MS | 0.10 | 0.30 | 106.70 |  | [28] |
| QNs (9) | 3.60-5.30 | 10.80-14.70 | 90.10-115.80 |
| SAs (17) | 1.90-9.20 | 9.90-27.60 | 77.40-105.60 |
| QNs (9) | QuEChERS | UHPLC-MS/MS | 0.29-3.67 | 0.25-2.50 | 96.60-104.70 |  | [29] |
| SAs (21) | 0.13-3.26 | 0.10-2.50 | 94.20-103.40 |
| QNs (11) | SPE | LC-MS/MS | 5.00 | 10.00 | 93.80-114.00 |  | [30] |
| SAs (11) | 94.40-110.30 |
| SAs (4) | MDSPE | HPLC-DAD | 0.38-0.48 | 1.14-1.79 | — |  | [31] |
| LV | MDSPE | HPLC-MS/MS | 0.01 | 0.03 | 85.20-88.70 |  | this work |
| QNs (17) | 0.01-0.03 | 0.02-0.08 | 70.50-109.30 |
| SAs (18) | 0.01-0.12 | 0.03-0.39 | 70.50-84.70 |
), ArticleFig(id=1321833929829625995, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1321833911991250960, language=CN, label=表7, caption=
该方法与文献中蜂蜜中抗生素残留检测方法的对比
, figureFileSmall=null, figureFileBig=null, tableContent=
| Compounds (quantity) | Pretreatment method | Determination/detection | LOD/(μg/kg) | LOQ/(μg/kg) | Recovery/% | AGREE assessment | Ref. |
|---|
| LV | LLE | LC-ESI-MS/MS | 0.10 | 0.30 | 106.70 |  | [28] |
| QNs (9) | 3.60-5.30 | 10.80-14.70 | 90.10-115.80 |
| SAs (17) | 1.90-9.20 | 9.90-27.60 | 77.40-105.60 |
| QNs (9) | QuEChERS | UHPLC-MS/MS | 0.29-3.67 | 0.25-2.50 | 96.60-104.70 |  | [29] |
| SAs (21) | 0.13-3.26 | 0.10-2.50 | 94.20-103.40 |
| QNs (11) | SPE | LC-MS/MS | 5.00 | 10.00 | 93.80-114.00 |  | [30] |
| SAs (11) | 94.40-110.30 |
| SAs (4) | MDSPE | HPLC-DAD | 0.38-0.48 | 1.14-1.79 | — |  | [31] |
| LV | MDSPE | HPLC-MS/MS | 0.01 | 0.03 | 85.20-88.70 |  | this work |
| QNs (17) | 0.01-0.03 | 0.02-0.08 | 70.50-109.30 |
| SAs (18) | 0.01-0.12 | 0.03-0.39 | 70.50-84.70 |
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