Article(id=1198656350730416778, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1198656343151313891, articleNumber=null, orderNo=null, doi=10.16438/j.0513-4870.2023-0511, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1682438400000, receivedDateStr=2023-04-26, revisedDate=1690992000000, revisedDateStr=2023-08-03, acceptedDate=null, acceptedDateStr=null, onlineDate=1763711543972, onlineDateStr=2025-11-21, pubDate=1702310400000, pubDateStr=2023-12-12, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1763711543972, onlineIssueDateStr=2025-11-21, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1763711543972, creator=13701087609, updateTime=1763711543972, updator=13701087609, issue=Issue{id=1198656343151313891, tenantId=1146029695717560320, journalId=1189982191388893191, year='2023', volume='58', issue='12', pageStart='3477', pageEnd='3726', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1763711542164, creator=13701087609, updateTime=1763711721609, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1198657095835943176, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1198656343151313891, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1198657095840137481, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1198656343151313891, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=3599, endPage=3607, ext={EN=ArticleExt(id=1198656351015629463, articleId=1198656350730416778, tenantId=1146029695717560320, journalId=1189982191388893191, language=EN, title=Application and development of quantitative nuclear magnetic resonance technology, columnId=null, journalTitle=Acta Pharmaceutica Sinica, columnName=null, runingTitle=null, highlight=null, articleAbstract=
Quantitative nuclear magnetic resonance (qNMR) technology has significant advantages in quantification due to its simple sample processing and high reproducibility. Two-dimensional qNMR analysis, which can solve the quantification problem of different components in complex systems, has gradually been applied in medicine, food, metabonomics, chemical engineering, and other fields. This paper reviews the analysis methods, influencing factors, experimental optimization, application fields, and other aspects of qNMR to promote its wide and effective application.
, correspAuthors=Ying-hong WANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=Copyright ©2023 Acta Pharmaceutica Sinica. All rights reserved., 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=Cong-cong GUO, Ying-hong WANG), CN=ArticleExt(id=1198656352227783342, articleId=1198656350730416778, tenantId=1146029695717560320, journalId=1189982191388893191, language=CN, title=定量核磁共振技术应用及发展, columnId=1190335349655180086, journalTitle=药学学报, columnName=综述, runingTitle=null, highlight=null, articleAbstract=
核磁共振定量(quantitative nuclear magnetic resonance, qNMR) 技术样品处理简单、重复性强, 在化合物定量方面具有明显优势。近年来逐渐得到应用的二维qNMR分析, 能较好解决复杂体系中不同成分的量化问题, 在医药、食品、化工等领域逐渐得到应用。本文将从qNMR分析方法、影响因素、实验优化、应用领域等多方面对其进行综述, 以促进qNMR技术的广泛有效应用。
, correspAuthors=王映红, authorNote=null, correspAuthorsNote=
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| Object | Objective | Instrument | Pulse sequence | Publishing time |
| Orlistat in tablets[3] | Study a qNMR method to quantify orlistat in tablets | 500 MHz, CryoProbe | 1H NMR | 2017 |
| Dipotassium glycyrrhizinat[4] | Establish a quantitative method based on 1H qNMR and develop for assessing the purity of dipotassium glycyrrhizinate | 500 MHz, CryoProbe | 1H NMR | 2021 |
| Organic calibration standards[5] | Perform qNMR analysis in conjunction with the mass balance to afford greater confidence in the purity assessment of organic calibration standards | 400 or 600 MHz, BBFO probes | 1H NMR | 2015 |
| PE, PET, and PS[6] | Find solvents suitable for quantitative analysis of MP particles and to validate the calibration curve method for the quantitative analysis of MP particles by qNMR | 500 MHz, TH ATM probe | 1H NMR | 2019 |
| DNT[7] | Quantify DNT belonging to the third-generation neonicotinoid pesticides, which are among the most common residuals in a variety of food commodities | 800 MHz, CPQCI CryoProbe | 1H NMR | 2023 |
| Danshen injection[8] | Establish a comprehensive method for quantitative determination of complex ingredients in TCM injections | 600 MHz | 1H NMR | 2022 |
| Futicasone propionate and azelastine hydro-chloride in nasal spray formulation[9] | Conduct quality control on the dosage forms | 400 MHz | 1H NMR | 2021 |
| Pomegranate seed oil[10] | Assess the concentration of conjugated fatty acids for the identification of pomegranate seed oil | 600 MHz, ONE NMR probe | 1H NMR | 2022 |
| Cannabinoids[11] | Characterize and determine the main non-psychoactive cannabinoids in eight different hemp varieties | 600 MHz | 13C NMR | 2019 |
| Choline[14] | Determine choline in commercial matrices and additives | 500 MHz, TBO-LF probe | 14N NMR | 2021 |
| Difluprednate[15] | Reveal drug multiphase distribution of oil-in-water nanoemulsion, and provide reference for drug development and quality monitoring | 600 MHz, liquid nitrogen-cooled prodigy TCI-F probe | 19F NMR | 2022 |
| Fluorinated NPS[16] | Establish NMR methods to quantify 11 types of fluorinated NPS | 400 MHz | 19F NMR | 2022 |
| Cyclophosphamide hydrate[18] | Determine the purity of cyclophosphamide hydrate | 600, 500, and 400 MHz | 1H NMR, 31P NMR | 2021 |
| Organophosphorus compound, sofosbuvir[19] | Quantitative analysis of organic compounds containing 31P | 600 MHz, CryoProbe; 500 and 400 MHz, normal probes | 31P NMR | 2022 |
| Phytocannabinoids[20] | Develop a quantitation method for cannabinoids | 400 MHz | 1H NMR, COSY | 2022 |
| 11-α-Hydroxymo-grosides[21] | Achieve quality control of luo han guo fruits and extracts | 400 MHz, PABBO broad-band probe | COSY, Bs-HSQC | 2021 |
| Heparin[24] | Profile the substitution patterns of K5-PS derivatives | 500 MHz, TXI probe | HSQC | 2005 |
| Epoxide formation in oil and mayonnaise[26] | Assess the formation of hydroperoxides, aldehydes, and epoxides under accelerated shelf-life conditions | 600 MHz, CryoProbe | HSQC | 2022 |
| Diester-type C19-diterpenoid alkaloids[27] | Establish a fast 2D HSQC qNMR method with high efficiency and accuracy | 600 MHz, CP21 BBO 600S3 BB-H & F-D-05 Z XT CryoProbe | HSQC | 2023 |
| Levofloxacin[36] | Obtain the relative and absolute content of enantiomers in levofloxacin cream | 400 MHz, BBFO probe | J-Compensated Q-HSQC | 2020 |
| Saccharides[40] | Assess pulmonary deposition in impaction experiments of saccharides employed as carriers in dry powder inhaler formulations to select the appropriate carriers | 600 MHz, normal probe | 1H NMR | 2019 |
| Diterpene acids[41] | Quantify diterpenoid acids to address the issue of inaccuracy in the quantification of diterpenoid acids with weak UV absorption based on chromatography with UV detector | 300 MHz, PABBO broad band probe | HSQC | 2018 |
| Anthraquinones[42] | Select duroquinone and rutin with similar molecular characteristics to the target compounds as alternative standards for quantification, to address the dependence of chromatographic techniques on standards | 400 MHz, PABBO broad band probe | HSQC | 2019 |
| Alkaloids[43] | Explore the complemen-tarity of qNMR methods by combining 1H NMR and 2D Q-QUIPU HSQC | 700 MHz, normal probe | 1H NMR, Q-QUIPU HSQC | 2019 |
| Cycloartane triterpenes[44] | Solve the adulteration problem of Actaea racemosad in the market | 600 MHz, TXI CryoProbe | 1H NMR | 2020 |
| Minor components in mango juice[45] | Explore the quantitative characteristics of band-selective excitation | 500 MHz | Band-selective excitation 1H NMR | 2017 |
| 6 primary metabolites in pomegranate juice[46] | Evaluate the quality problems such as adulteration | 700 MHz, TXO CryoProbe | CPMG, ZG, QEC-HSQC | 2020 |
| Isomaltulose[47] | Establish a NMR method to quantify isomaltulose, other monosaccharides and disaccharides in food within a short time | 500 MHz, Prodigy CryoProbe | HSQC combined with 50% NUS | 2022 |
| Juice, wine, honey, and olive oil | Utilize complex statistical models to detect origin authenticity, production process control, false labeling, sample similarity, and species purity | 400 MHz | Completely automated Bruker FoodScreener™ | |
| Metabolic and lipo-protein of COVID-19 patients[48] | Analyze the metabolic status of COVID-19 patients | 600 MHz, TXI probe | Bruker IVDr | 2021 |
| Bovine liver extract[34] | Quantify metabolites in bovine liver extract | 700 MHz, QCI probe | Constant-time gsHSQC0 | 2011 |
| Thiocoraline in an extract from Verrucosispora sp.[49] | Quantify micromolar natural product in complex extracts | 700 MHz, QCI probe | Phase-cycled HSQC0, non-constant-time gsHSQC0 | 2011 |
| Structural units of lignin[32, 50, 51] | Analyze the degree of polymerization and branching of lignin, and evaluate its structure | 600 MHz, triple resonance z-gradient probe[32], CryoProbe[52, 53] | Q HSQC, QQ HSQC, 31P NMR | 2003, 2011, 2011. |
| Vitamin D2 and D3[52] | Analyze the micellization degree of vitamin D in cream to optimize the formula | 600 MHz FT-NMR | 1H NMR | 2020 |
| GlcNAc and (GlcNAc)2[53] | Analyze the decomposition activity of chitinase and screen the best conditions for enzyme activity | 500 MHz | 1H NMR | 2011 |
), ArticleFig(id=1198960221579214929, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198656350730416778, language=CN, label=Table 1, caption=
Summary of qNMR applications. qNMR: Quantitative nuclear magnetic resonance; PE: Polyethylene; PET: Polyethylene terephthalate; PS: Polystyrene; MP: Microplastic; DNT: Dinotefuran; TCM: Traditional Chinese medicine; NPS: New psychoactive substances; Bs-HSQC: Band-selective HSQC; Q-QUIPU HSQC: Quick quantitative perfected and pure shifted HSQC; CPMG: Carr-Purcell-Meiboom-Gill; QEC-HSQC: Quantitative, equal carbon response HSQC; NUS: Non-uniform sampling; COVID-19: Coronavirus disease 2019; gsHSQC0: Gradient-selective time-zero HSQC; QQ HSQC: Quick, quantitative HSQC; GlcNAc: N-Acetyl-D-glucosamine; (GlcNAc)2: N, N'-Diacetylchitobiose
, figureFileSmall=null, figureFileBig=null, tableContent=
| Object | Objective | Instrument | Pulse sequence | Publishing time |
| Orlistat in tablets[3] | Study a qNMR method to quantify orlistat in tablets | 500 MHz, CryoProbe | 1H NMR | 2017 |
| Dipotassium glycyrrhizinat[4] | Establish a quantitative method based on 1H qNMR and develop for assessing the purity of dipotassium glycyrrhizinate | 500 MHz, CryoProbe | 1H NMR | 2021 |
| Organic calibration standards[5] | Perform qNMR analysis in conjunction with the mass balance to afford greater confidence in the purity assessment of organic calibration standards | 400 or 600 MHz, BBFO probes | 1H NMR | 2015 |
| PE, PET, and PS[6] | Find solvents suitable for quantitative analysis of MP particles and to validate the calibration curve method for the quantitative analysis of MP particles by qNMR | 500 MHz, TH ATM probe | 1H NMR | 2019 |
| DNT[7] | Quantify DNT belonging to the third-generation neonicotinoid pesticides, which are among the most common residuals in a variety of food commodities | 800 MHz, CPQCI CryoProbe | 1H NMR | 2023 |
| Danshen injection[8] | Establish a comprehensive method for quantitative determination of complex ingredients in TCM injections | 600 MHz | 1H NMR | 2022 |
| Futicasone propionate and azelastine hydro-chloride in nasal spray formulation[9] | Conduct quality control on the dosage forms | 400 MHz | 1H NMR | 2021 |
| Pomegranate seed oil[10] | Assess the concentration of conjugated fatty acids for the identification of pomegranate seed oil | 600 MHz, ONE NMR probe | 1H NMR | 2022 |
| Cannabinoids[11] | Characterize and determine the main non-psychoactive cannabinoids in eight different hemp varieties | 600 MHz | 13C NMR | 2019 |
| Choline[14] | Determine choline in commercial matrices and additives | 500 MHz, TBO-LF probe | 14N NMR | 2021 |
| Difluprednate[15] | Reveal drug multiphase distribution of oil-in-water nanoemulsion, and provide reference for drug development and quality monitoring | 600 MHz, liquid nitrogen-cooled prodigy TCI-F probe | 19F NMR | 2022 |
| Fluorinated NPS[16] | Establish NMR methods to quantify 11 types of fluorinated NPS | 400 MHz | 19F NMR | 2022 |
| Cyclophosphamide hydrate[18] | Determine the purity of cyclophosphamide hydrate | 600, 500, and 400 MHz | 1H NMR, 31P NMR | 2021 |
| Organophosphorus compound, sofosbuvir[19] | Quantitative analysis of organic compounds containing 31P | 600 MHz, CryoProbe; 500 and 400 MHz, normal probes | 31P NMR | 2022 |
| Phytocannabinoids[20] | Develop a quantitation method for cannabinoids | 400 MHz | 1H NMR, COSY | 2022 |
| 11-α-Hydroxymo-grosides[21] | Achieve quality control of luo han guo fruits and extracts | 400 MHz, PABBO broad-band probe | COSY, Bs-HSQC | 2021 |
| Heparin[24] | Profile the substitution patterns of K5-PS derivatives | 500 MHz, TXI probe | HSQC | 2005 |
| Epoxide formation in oil and mayonnaise[26] | Assess the formation of hydroperoxides, aldehydes, and epoxides under accelerated shelf-life conditions | 600 MHz, CryoProbe | HSQC | 2022 |
| Diester-type C19-diterpenoid alkaloids[27] | Establish a fast 2D HSQC qNMR method with high efficiency and accuracy | 600 MHz, CP21 BBO 600S3 BB-H & F-D-05 Z XT CryoProbe | HSQC | 2023 |
| Levofloxacin[36] | Obtain the relative and absolute content of enantiomers in levofloxacin cream | 400 MHz, BBFO probe | J-Compensated Q-HSQC | 2020 |
| Saccharides[40] | Assess pulmonary deposition in impaction experiments of saccharides employed as carriers in dry powder inhaler formulations to select the appropriate carriers | 600 MHz, normal probe | 1H NMR | 2019 |
| Diterpene acids[41] | Quantify diterpenoid acids to address the issue of inaccuracy in the quantification of diterpenoid acids with weak UV absorption based on chromatography with UV detector | 300 MHz, PABBO broad band probe | HSQC | 2018 |
| Anthraquinones[42] | Select duroquinone and rutin with similar molecular characteristics to the target compounds as alternative standards for quantification, to address the dependence of chromatographic techniques on standards | 400 MHz, PABBO broad band probe | HSQC | 2019 |
| Alkaloids[43] | Explore the complemen-tarity of qNMR methods by combining 1H NMR and 2D Q-QUIPU HSQC | 700 MHz, normal probe | 1H NMR, Q-QUIPU HSQC | 2019 |
| Cycloartane triterpenes[44] | Solve the adulteration problem of Actaea racemosad in the market | 600 MHz, TXI CryoProbe | 1H NMR | 2020 |
| Minor components in mango juice[45] | Explore the quantitative characteristics of band-selective excitation | 500 MHz | Band-selective excitation 1H NMR | 2017 |
| 6 primary metabolites in pomegranate juice[46] | Evaluate the quality problems such as adulteration | 700 MHz, TXO CryoProbe | CPMG, ZG, QEC-HSQC | 2020 |
| Isomaltulose[47] | Establish a NMR method to quantify isomaltulose, other monosaccharides and disaccharides in food within a short time | 500 MHz, Prodigy CryoProbe | HSQC combined with 50% NUS | 2022 |
| Juice, wine, honey, and olive oil | Utilize complex statistical models to detect origin authenticity, production process control, false labeling, sample similarity, and species purity | 400 MHz | Completely automated Bruker FoodScreener™ | |
| Metabolic and lipo-protein of COVID-19 patients[48] | Analyze the metabolic status of COVID-19 patients | 600 MHz, TXI probe | Bruker IVDr | 2021 |
| Bovine liver extract[34] | Quantify metabolites in bovine liver extract | 700 MHz, QCI probe | Constant-time gsHSQC0 | 2011 |
| Thiocoraline in an extract from Verrucosispora sp.[49] | Quantify micromolar natural product in complex extracts | 700 MHz, QCI probe | Phase-cycled HSQC0, non-constant-time gsHSQC0 | 2011 |
| Structural units of lignin[32, 50, 51] | Analyze the degree of polymerization and branching of lignin, and evaluate its structure | 600 MHz, triple resonance z-gradient probe[32], CryoProbe[52, 53] | Q HSQC, QQ HSQC, 31P NMR | 2003, 2011, 2011. |
| Vitamin D2 and D3[52] | Analyze the micellization degree of vitamin D in cream to optimize the formula | 600 MHz FT-NMR | 1H NMR | 2020 |
| GlcNAc and (GlcNAc)2[53] | Analyze the decomposition activity of chitinase and screen the best conditions for enzyme activity | 500 MHz | 1H NMR | 2011 |
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