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Development of an Atmospheric-Pressure Photoionization Source for VOC Detection With a Miniature High-Pressure Mass Spectrometer 微型高压质谱仪检测挥发性有机化合物常压光电离源的研制。
IF 1.7 3区 化学 Q4 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-02-03 DOI: 10.1002/rcm.70050
Alan M. Rowland, Stephen E. Smith, Ella F. Vandergriff, Arturo Rodriguez, David P. Lewis, Kevin P. Schultze, William M. Gilliland Jr.

With the goal of sensitive, selective, targeted, and portable VOC quantification, an atmospheric pressure photoionization (APPI) source was developed for a miniature high pressure mass spectrometer, the MX908. The APPI source consists of a VUV lamp that was encased in a custom 3D-printed apparatus. Using m-xylene as the testing standard, the effects of pressure, axial RF voltage, aperture voltage, and humidity on the instrument were investigated and optimized. Operating at 0.8 Torr with ambient air as the buffer gas, the instrument showed linearity from 25 to 500 ppbV for benzene, toluene, ethylbenzene, and m-xylene without preconcentration.

为了实现对挥发性有机化合物的灵敏、选择性、靶向性和便携性定量,研制了一种用于微型高压质谱仪MX908的大气压光电离(APPI)源。APPI光源由一个VUV灯组成,该灯被封装在定制的3d打印设备中。以间二甲苯为测试标准,考察了压力、轴向射频电压、孔径电压和湿度对仪器的影响并进行了优化。仪器工作在0.8托,环境空气作为缓冲气体,对苯、甲苯、乙苯和间二甲苯在25 ~ 500 ppbV的线性范围内无预浓缩。
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引用次数: 0
A Sustainable UHPLC-PDA/QTOF-MS Approach for Comprehensive Profiling of Amoxicillin Degradation Impurities UHPLC-PDA/QTOF-MS综合分析阿莫西林降解杂质
IF 1.7 3区 化学 Q4 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-02-01 DOI: 10.1002/rcm.70046
Vo Thi Kim Khuyen, Do Thanh Nhu, Nguyen Duc Tuan

Rationale

Amoxicillin is a broad-spectrum β-lactam antibiotic that is prone to undergo degradation under various stress and storage conditions into multiple impurities, which may compromise drug stability, efficacy, and safety. This study established an eco-efficient comprehensive analytical strategy for amoxicillin degradation impurities using UHPLC coupled with PDA detection and QTOF-MS characterization, which has not been previously reported.

Methods

Chromatographic conditions were optimized through software-assisted conversion from traditional chromatography and then validated for the simultaneous determination of degradation impurities. Separation was performed on a Cortecs C18 column (150 × 3 mm; 2.7 μm) at 254 nm with a gradient elution of acetonitrile and a pH 5.0 buffer solution. Degradation products were identified and characterized using UHPLC-PDA/Q/TOF-MS. The environmental impact of the method was evaluated using the Eco-Scale, GAPI, AGREE, and BAGI tools.

Results

The validated method in accordance with ICH Q2(R2) (2023) demonstrates system suitability, specificity, linearity (3.003–22.519 μg/mL), accuracy (98.0%–102%, RSD < 2.0%), precision (RSD < 2.0%), and robustness. Limits of detection and quantification were 0.330 and 0.991 μg/mL, respectively, enabling the quantification of impurities at 0.066% relative to amoxicillin content in 500-mg capsules. Four degradation impurities exceeding the identification thresholds were characterized, including amoxicillin diketopiperazine, penilloic acid, and two newly detected compounds not listed in the current international pharmacopoeias. Greenness evaluation tools confirm the environmental friendliness of the method, with high scores of 78 (Eco-Scale), 80 (BAGI), 68 (GAPI), and 0.63 (AGREE).

Conclusions

The study delivers enhanced chromatographic resolution for understanding the degradation pathways of amoxicillin during short- and long-term storage, enabling stability evaluation and routine drug quality control in accordance with sustainable development goals.

理由:阿莫西林是一种广谱β-内酰胺类抗生素,在各种应激和储存条件下容易降解为多种杂质,影响药物的稳定性、有效性和安全性。本研究建立了一种生态高效的阿莫西林降解杂质的综合分析策略,该策略采用UHPLC结合PDA检测和QTOF-MS表征,这在以前没有报道过。方法:在传统色谱法的基础上,通过软件辅助转换优化色谱条件,并对同时测定降解杂质进行验证。采用Cortecs C18色谱柱(150 × 3 mm; 2.7 μm),在254 nm处进行分离,乙腈和pH 5.0缓冲溶液梯度洗脱。采用UHPLC-PDA/Q/TOF-MS对降解产物进行了鉴定和表征。使用生态尺度、GAPI、AGREE和BAGI工具评估该方法的环境影响。结果:经验证的方法符合ICH Q2(R2)(2023)的要求,系统适用性、特异性、线性度(3.003 ~ 22.519 μg/mL)、准确度(98.0% ~ 102%)、RSD均较好。结论:该方法提高了色谱分辨率,有助于了解阿莫西林在短期和长期储存过程中的降解途径,为阿莫西林的稳定性评价和常规药品质量控制提供依据,符合可持续发展目标。
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引用次数: 0
Switching Ionization Polarity to Simplify MS/MS Sequencing of Digital Polymers: the Case of Informational Poly(Amino phosphodiester)s 切换电离极性以简化数字聚合物的MS/MS测序:以信息聚氨基磷酸二酯为例。
IF 1.7 3区 化学 Q4 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-02-01 DOI: 10.1002/rcm.70047
Isaure Sergent, Ian Roszak, Jean-François Lutz, Laurence Charles

Rationale

MS/MS sequencing is commonly used to read binary messages encoded in digital polymers. To achieve full sequence coverage required for error-free reading, the structure of coding units is usually optimized to prevent extensive signal dilution over multiple fragmentation routes. Changing ionization polarity can also have a significant effect on MS/MS pattern, which is explored here for poly(amino phosphodiester)s.

Methods

Poly(amino phosphodiester)s (N-PPDEs) include comonomers composed of one phosphate group and a main-chain tertiary amine holding different alkyl substituents as coding moieties. Accordingly, they can be readily ionized in both polarity modes, using ammonium acetate to promote electrospray formation of deprotonated species and protonated molecules when switching from negative to positive ion mode. Changes of their MS/MS spectra are studied with regard to the behavior of their PPDE homologues lacking the main-chain tertiary amine.

Results

In collision-induced dissociation (CID) conditions, eight fragment series are produced upon cleavage of all phosphate bonds in deprotonated species, whereas only four ion series are generated from protonated N-PPDEs in which O–P–O linkages remain intact. The advantageous MS/MS behavior of protonated N-PPDEs has been rationalized by considering that protons located on tertiary amines are also solvated by nearby phosphate groups, promoting exclusive cleavage of C–O bonds.

Conclusions

In contrast to PPDEs, switching from deprotonated to protonated precursors yields highly simplified CID data for N-PPDEs, opening promising perspectives for reliable MS/MS sequencing of long coded polymers.

原理:MS/MS测序通常用于读取数字聚合物编码的二进制信息。为了实现无错误读取所需的完整序列覆盖,通常对编码单元的结构进行优化,以防止多个分片路由上的广泛信号稀释。改变电离极性也会对MS/MS模式产生显著影响,本文对聚氨基磷酸二酯进行了探讨。方法:聚氨基磷酸二酯(N-PPDEs)是由一个磷酸基团和一个主链叔胺组成的共聚单体,以不同的烷基取代基作为编码基团。因此,它们可以很容易地在两种极性模式下电离,当从负离子模式切换到正离子模式时,使用乙酸铵促进去质子化物质和质子化分子的电喷雾形成。研究了缺少主链叔胺的PPDE同源物的质谱变化。结果:在碰撞诱导解离(CID)条件下,在去质子化的物种中,所有磷酸键都被切割会产生8个片段序列,而在O-P-O键保持完整的质子化N-PPDEs中,只会产生4个离子序列。考虑到位于叔胺上的质子也被附近的磷酸基团溶剂化,促进C-O键的排他裂解,质子化的N-PPDEs的有利的MS/MS行为被合理化了。结论:与PPDEs相比,从去质子化前体到质子化前体的转换可以高度简化N-PPDEs的CID数据,为长编码聚合物的可靠MS/MS测序开辟了有希望的前景。
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引用次数: 0
Exploring the Mechanistic Role of Bushen Huoxue Decoction in Treating Intervertebral Disc Degeneration Through Efferocytosis Regulation 补肾活血汤通过调节胞泡作用治疗椎间盘退变的机制探讨。
IF 1.7 3区 化学 Q4 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-01-30 DOI: 10.1002/rcm.70043
Hongtao Li, Changxiao Han, Jiacheng Zheng, Zhiwen Li, Xu Wang, Liguo Zhu, Minshan Feng

Background

Bushen Huoxue (BSHX) decoction is effective against intervertebral disc degeneration (IVDD) and osteoarthritis, but its mechanism remains unclear. This study investigates its potential role in regulating efferocytosis in IVDD.

Methods

BSHX decoction, prepared from Eucommia ulmoides, Psoralea corylifolia, Achyranthes bidentata, Salvia miltiorrhiza, Clematis chinensis, and Chaenomeles speciosa, was extracted, concentrated, and analyzed by LC–MS/MS to identify active ingredients. Swiss TargetPrediction analysis predicted all targets. The PPI network was constructed using STRING 12.0 and CytoNCA in Cytoscape, followed by GO and KEGG enrichment analyses. Three publicly available datasets (GSE70362, GSE124272, GSE150408) were analyzed for differential gene expression in IVDD, with efferocytosis-related genes retrieved from GeneCards and KEGG, and candidate targets identified by intersecting PPI network core targets with efferocytosis-related differentially expressed genes (EFRDEGs). A network pharmacology model was then constructed, followed by molecular docking, molecular dynamics simulations, and pharmacokinetic properties.

Results

A total of 77 active ingredients and 298 targets were identified, with ELANE, MPO, and RXRA selected as candidate targets through bioinformatics analysis. GO and KEGG analyses highlighted their roles in immune regulation, inflammation, apoptosis, and tissue repair. Network analysis suggests that these compounds regulate multiple pathways, providing a mechanism for BSHX decoction to alleviate IVDD by modulating efferocytosis. Molecular docking showed strong binding affinity (binding energy < −8.0 kcal/mol) of tanshinone II A, pinoresinol diglucoside, and psoralidin with ELANE, MPO, and RXRA. Molecular dynamics simulation of the MPO–pinoresinol diglucoside complex confirmed its stability, and we revealed that pinoresinol diglucoside possesses favorable pharmacokinetic properties and safety characteristics.

Conclusion

BSHX decoction may exert therapeutic effects on IVDD by targeting ELANE, MPO, and RXRA to regulate multiple pathways involved in efferocytosis. These findings offer valuable insights into the underlying mechanisms of BSHX decoction in the treatment of IVDD, providing a solid theoretical basis for the clinical application of traditional Chinese medicine.

背景:补肾活血汤对椎间盘退变(IVDD)和骨关节炎有一定的治疗作用,但其作用机制尚不清楚。本研究探讨其在IVDD中调节胞浆增多的潜在作用。方法:以杜仲、补骨脂、牛膝、丹参、铁线莲、木瓜为原料,提取、浓缩、液相色谱-质谱联用(LC-MS/MS)鉴定有效成分。瑞士TargetPrediction分析预测所有目标。在Cytoscape中使用STRING 12.0和CytoNCA构建PPI网络,然后进行GO和KEGG富集分析。我们分析了三个公开的数据集(GSE70362、GSE124272、GSE150408)在IVDD中的差异基因表达,从GeneCards和KEGG中检索到的efferocysis相关基因,以及通过将PPI网络核心靶点与efferocysis相关差异表达基因(EFRDEGs)交叉鉴定的候选靶点。构建网络药理学模型,进行分子对接、分子动力学模拟和药代动力学性质研究。结果:共鉴定出77种有效成分和298个靶点,通过生物信息学分析筛选出ELANE、MPO和RXRA作为候选靶点。GO和KEGG分析强调了它们在免疫调节、炎症、细胞凋亡和组织修复中的作用。网络分析表明,这些化合物可调控多种通路,提供了一种BSHX汤通过调节efferocysis来缓解IVDD的机制。结论:BSHX汤可能通过靶向ELANE、MPO、RXRA调控efferocytosis参与的多种途径,对IVDD起到治疗作用。本研究结果为BSHX汤治疗IVDD的潜在机制提供了有价值的见解,为中医临床应用提供了坚实的理论基础。
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引用次数: 0
UHPLC-Q-Orbitrap HRMS-Based Machine Learning Constructs the Integrated Biomarker Profiling of Type 2 Diabetes and Diabetic Heart Disease 基于UHPLC-Q-Orbitrap hrms的机器学习构建2型糖尿病和糖尿病性心脏病的综合生物标志物谱
IF 1.7 3区 化学 Q4 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-01-30 DOI: 10.1002/rcm.70044
Jianglan Long, Yueyue Wang, Qiushi Fang, Zhe Shi, Zhenzhen Wang, Dan Yan

Rationale

Over 70% of diabetic patients die from cardiovascular disease, in which diabetic heart disease (DHD) is an important cause of death in individuals with type 2 diabetes (T2D). It is hence imperative to explore the simple, rapid, and economical method for diagnosing DHD from T2D.

Methods

T2D and DHD patients were recruited, and their serum samples were used for metabolomic analysis to identify differential metabolites. Logistic regression analysis and receiver operating characteristic curve analysis were performed to identify candidate biomarkers. Moreover, four machine learning methods were used to construct the integrated biomarker profiling (IBP) models with the candidate biomarkers. Gini impurity was employed to select characteristic candidate biomarkers.

Results

Eighty-four differential metabolites were identified in the serum of 58 T2D and 62 DHD patients. Logistic regression analysis indicated that 17 differential metabolites were protective factors, whereas 39 were risk factors for DHD. Further, 29 differential metabolites were identified as the candidate biomarkers of DHD after receiver operating characteristic curve analysis. After comparing the predictive performance of the four machine learning models, the IBP was constructed based on the eXtreme Gradient Boosting (XGBoost) with six candidate biomarkers, which were sphingomyelin (d18:0/16:1), deoxycholic acid, hexadecanedioic acid, phosphatidylcholine (20:5/18:3), L-tryptophan, and N-undecanoylglycine from the ranked results of Gini impurity. The accuracy of the IBP for distinguishing T2D and DHD reached 88.89%, with a 100% accuracy in predicting DHD from T2D patients.

Conclusions

The IBP, composed of six metabolites, can effectively predict DHD from T2D, and it is expected to become a screening indicator for early-stage DHD.

理由:超过70%的糖尿病患者死于心血管疾病,其中糖尿病性心脏病(DHD)是2型糖尿病(T2D)患者死亡的重要原因。因此,探索从T2D诊断DHD的简便、快速、经济的方法势在必行。方法:招募T2D和DHD患者,进行血清代谢组学分析,鉴别差异代谢物。采用Logistic回归分析和受试者工作特征曲线分析确定候选生物标志物。此外,利用四种机器学习方法构建了候选生物标志物的综合生物标志物分析(IBP)模型。采用基尼杂质筛选特征候选生物标志物。结果:在58例T2D和62例DHD患者血清中鉴定出84种差异代谢物。Logistic回归分析显示17种差异代谢物是DHD的保护因素,39种差异代谢物是DHD的危险因素。此外,通过受试者工作特征曲线分析,确定了29种差异代谢物作为DHD的候选生物标志物。在比较了四种机器学习模型的预测性能后,基于极限梯度增强(XGBoost)构建了IBP,其中六个候选生物标志物是鞘磷脂(d18:0/16:1)、脱氧胆酸、十六烷二酸、磷脂酰胆碱(20:5/18:3)、l -色氨酸和n -十一烷酰甘氨酸,这些生物标志物来自Gini杂质排名结果。IBP区分T2D和DHD的准确率达到88.89%,预测T2D患者的DHD准确率为100%。结论:由6种代谢物组成的IBP可有效预测T2D的DHD,有望成为早期DHD的筛查指标。
{"title":"UHPLC-Q-Orbitrap HRMS-Based Machine Learning Constructs the Integrated Biomarker Profiling of Type 2 Diabetes and Diabetic Heart Disease","authors":"Jianglan Long,&nbsp;Yueyue Wang,&nbsp;Qiushi Fang,&nbsp;Zhe Shi,&nbsp;Zhenzhen Wang,&nbsp;Dan Yan","doi":"10.1002/rcm.70044","DOIUrl":"10.1002/rcm.70044","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Rationale</h3>\u0000 \u0000 <p>Over 70% of diabetic patients die from cardiovascular disease, in which diabetic heart disease (DHD) is an important cause of death in individuals with type 2 diabetes (T2D). It is hence imperative to explore the simple, rapid, and economical method for diagnosing DHD from T2D.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>T2D and DHD patients were recruited, and their serum samples were used for metabolomic analysis to identify differential metabolites. Logistic regression analysis and receiver operating characteristic curve analysis were performed to identify candidate biomarkers. Moreover, four machine learning methods were used to construct the integrated biomarker profiling (IBP) models with the candidate biomarkers. Gini impurity was employed to select characteristic candidate biomarkers.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Eighty-four differential metabolites were identified in the serum of 58 T2D and 62 DHD patients. Logistic regression analysis indicated that 17 differential metabolites were protective factors, whereas 39 were risk factors for DHD. Further, 29 differential metabolites were identified as the candidate biomarkers of DHD after receiver operating characteristic curve analysis. After comparing the predictive performance of the four machine learning models, the IBP was constructed based on the eXtreme Gradient Boosting (XGBoost) with six candidate biomarkers, which were sphingomyelin (d18:0/16:1), deoxycholic acid, hexadecanedioic acid, phosphatidylcholine (20:5/18:3), L-tryptophan, and N-undecanoylglycine from the ranked results of Gini impurity. The accuracy of the IBP for distinguishing T2D and DHD reached 88.89%, with a 100% accuracy in predicting DHD from T2D patients.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The IBP, composed of six metabolites, can effectively predict DHD from T2D, and it is expected to become a screening indicator for early-stage DHD.</p>\u0000 </section>\u0000 </div>","PeriodicalId":225,"journal":{"name":"Rapid Communications in Mass Spectrometry","volume":"40 9","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146083590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comprehensive Characterization of the Chemical Constituents, Serum Pharmacochemistry, and Quality Control of Jieyu Pills Utilizing UHPLC-Orbitrap Fusion MS UHPLC-Orbitrap融合质谱法综合表征解郁丸的化学成分、血清药物化学及质量控制。
IF 1.7 3区 化学 Q4 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-01-30 DOI: 10.1002/rcm.70042
Lingyu Ye, Shuding Sun, Ting Wang, Jia Song, Li Wang, Yufang Miao, Di Zhao, Qi Sun, Yan Wan, Suxiang Feng

Rationale

Depression is currently the third leading cause of disease burden worldwide by 2030. Jieyu Pills (JYP) comprise 10 herbs demonstrated clinical effectiveness in managing depression with low by-effects. Owing to the complexity of herbal compound formulations, identifying chemical constituents is insufficient to discover the specificity and correlation between quality and therapeutic efficacy. Thus, selecting and detecting appropriate quality control (QC) markers for herbal medicines remains a challenge.

Methods

This study has been screened and evaluated appropriate QC markers through a correlation analysis of “ingredient–pharmacological efficacy.” Firstly, chemical components of JYP were systematically characterized in vivo and in vitro using UHPLC-Orbitrap Fusion MS. Then, network pharmacology analysis was conducted to predict potential active components of JYP. Finally, core effectors of JYP were screened out as QC markers and subjected to targeted quantitative analysis.

Results

A total of 188 compounds were identified in vitro, and 47 prototype constituents plus 41 metabolites were detected in serum. Network analysis revealed 13 core targets such as AKT1 and TNF enriched in inflammation, apoptosis, and AGE-RAGE signaling pathways, aligning with known depression mechanisms. Integrating serum-exposed components with network results highlighted paeoniflorin, gallic acid, liquiritin, and their metabolites as central modulators of neuroinflammatory and neuroprotective processes. Based on this “chemical entity–metabolic fate–target–pathway” framework, 20 compounds were selected as potential QC markers, and quantitative analysis confirmed high batch consistency.

Conclusions

This study provides the first integrated in vitro–in vivo chemical and mechanistic profiling of JYP, elucidates its metabolic characteristics and core antidepressant pathways, and establishes scientifically grounded QC markers. The research provides a novel perspective for investigating complex herbal prescriptions.

理由:到2030年,抑郁症目前是全球疾病负担的第三大原因。解郁丸(JYP)由10种草药组成,在治疗抑郁症方面具有临床效果,副作用低。由于中药复方的复杂性,确定化学成分不足以发现质量与疗效之间的特异性和相关性。因此,选择和检测合适的中草药质量控制(QC)标记仍然是一个挑战。方法:通过“成分-药效”的相关性分析,筛选和评价合适的QC标志物。首先采用UHPLC-Orbitrap融合质谱法对JYP的体内外化学成分进行系统表征,然后进行网络药理学分析,预测JYP的潜在有效成分。最后,筛选JYP的核心效应物作为QC标记,进行有针对性的定量分析。结果:体外共鉴定出188种化合物,血清中检测到47种原型成分和41种代谢物。网络分析揭示了13个核心靶点,如AKT1和TNF在炎症、凋亡和AGE-RAGE信号通路中富集,与已知的抑郁机制一致。将血清暴露成分与网络结果相结合,强调芍药苷、没食子酸、甘草素及其代谢物是神经炎症和神经保护过程的中枢调节剂。基于这一“化学实体-代谢命运-目标途径”的框架,选择了20个化合物作为潜在的QC标记物,定量分析证实了高批次一致性。结论:本研究首次提供了JYP的体内外化学和机制分析,阐明了其代谢特征和核心抗抑郁途径,建立了科学依据的QC标记。该研究为复杂中药处方的研究提供了新的视角。
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引用次数: 0
Minimally Destructive Radiocarbon Dating of Bone 骨的最小破坏性放射性碳定年法。
IF 1.7 3区 化学 Q4 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-01-30 DOI: 10.1002/rcm.70040
Tom Higham, Katharina Luftensteiner, Laura van der Sluis, Maddalena Giannì, Maria Wiegele, Anastasia Papadogianni, Peter Steier, Daniela Gruber, Brigitte Schmidt, Katy Schmidt, Andrei Belinski, Romain Mensan, Maxim Kozlikin, Michael Shunkov, Petr Neruda, Zdeňka Nerudová, Barbara Horejs, John Schulze, Katerina Douka, Thomas W. Stafford Jr.

Rationale

Bone is commonly used in radiocarbon dating in archaeology and other disciplines. Despite advances in collagen extraction protocols, the process remains destructive, requiring sawing, drilling or crushing of bone material. While non-destructive approaches have recently been applied in ancient genomics and palaeoproteomics, no equivalent approach has been established for radiocarbon dating of bone. We explored whether this is possible using a series of experiments.

Methods

We experimented by using a water-based approach to extract soluble collagen from whole bone and teeth samples. We heated the samples in hot (75°C and 90°C) water for several hours. We obtained the soluble collagen fraction of the bone and purified and AMS dated the extracts. We used standard reference bones and samples from archaeological sites.

Results

We found that the amino acid composition, C/N atomic ratios, δ13C and δ15N values of the hot-water-extracted soluble collagen were comparable to collagen isolated from the same bones using classic Longin collagen methods. Bone and teeth from Bronze Age and Middle and Upper Paleolithic sites, which had been dated previously using routine destructive methods that involved acid demineralization, yielded dates on the water-soluble fraction that were in good agreement with these earlier results.

Conclusions

We show that a minimally destructive collagen extraction, coupled with an additional purification step such as ultrafiltration or XAD-2 purification, yields identical radiocarbon ages to those obtained via the routine destructive methods, but without any visible external damage. The method may allow us in future to date precious artefacts, ornaments and museum objects without significant alteration.

理论依据:骨头通常用于考古学和其他学科的放射性碳测年。尽管胶原蛋白提取技术有所进步,但这一过程仍然具有破坏性,需要锯切、钻孔或粉碎骨骼材料。虽然非破坏性方法最近已应用于古代基因组学和古蛋白质组学,但尚未建立用于骨骼放射性碳定年的等效方法。我们通过一系列实验来探索这是否可能。方法:采用水基法提取全骨和全牙标本中的可溶性胶原蛋白。我们将样品在热水(75°C和90°C)中加热几个小时。我们获得了骨的可溶性胶原蛋白部分,并对其进行了纯化和AMS定年。我们使用了标准的参考骨骼和考古遗址的样本。结果:热水提取的可溶性胶原蛋白的氨基酸组成、C/N原子比、δ13C和δ15N值与经典Longin胶原法分离的胶原蛋白相当。来自青铜器时代和旧石器时代中晚期遗址的骨头和牙齿,以前是用常规的破坏性方法测定年代的,其中包括酸脱矿,得出的水溶性部分的日期与这些早期的结果非常吻合。结论:我们证明了一种破坏性最小的胶原蛋白提取,加上额外的纯化步骤,如超滤或XAD-2纯化,产生的放射性碳年龄与通过常规破坏性方法获得的放射性碳年龄相同,但没有任何可见的外部损伤。这种方法可以让我们在未来确定珍贵的人工制品、装饰品和博物馆物品的年代,而不会有明显的改变。
{"title":"Minimally Destructive Radiocarbon Dating of Bone","authors":"Tom Higham,&nbsp;Katharina Luftensteiner,&nbsp;Laura van der Sluis,&nbsp;Maddalena Giannì,&nbsp;Maria Wiegele,&nbsp;Anastasia Papadogianni,&nbsp;Peter Steier,&nbsp;Daniela Gruber,&nbsp;Brigitte Schmidt,&nbsp;Katy Schmidt,&nbsp;Andrei Belinski,&nbsp;Romain Mensan,&nbsp;Maxim Kozlikin,&nbsp;Michael Shunkov,&nbsp;Petr Neruda,&nbsp;Zdeňka Nerudová,&nbsp;Barbara Horejs,&nbsp;John Schulze,&nbsp;Katerina Douka,&nbsp;Thomas W. Stafford Jr.","doi":"10.1002/rcm.70040","DOIUrl":"10.1002/rcm.70040","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Rationale</h3>\u0000 \u0000 <p>Bone is commonly used in radiocarbon dating in archaeology and other disciplines. Despite advances in collagen extraction protocols, the process remains destructive, requiring sawing, drilling or crushing of bone material. While non-destructive approaches have recently been applied in ancient genomics and palaeoproteomics, no equivalent approach has been established for radiocarbon dating of bone. We explored whether this is possible using a series of experiments.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We experimented by using a water-based approach to extract soluble collagen from whole bone and teeth samples. We heated the samples in hot (75°C and 90°C) water for several hours. We obtained the soluble collagen fraction of the bone and purified and AMS dated the extracts. We used standard reference bones and samples from archaeological sites.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found that the amino acid composition, C/N atomic ratios, <i>δ</i><sup>13</sup>C and <i>δ</i><sup>15</sup>N values of the hot-water-extracted soluble collagen were comparable to collagen isolated from the same bones using classic Longin collagen methods. Bone and teeth from Bronze Age and Middle and Upper Paleolithic sites, which had been dated previously using routine destructive methods that involved acid demineralization, yielded dates on the water-soluble fraction that were in good agreement with these earlier results.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>We show that a minimally destructive collagen extraction, coupled with an additional purification step such as ultrafiltration or XAD-2 purification, yields identical radiocarbon ages to those obtained via the routine destructive methods, but without any visible external damage. The method may allow us in future to date precious artefacts, ornaments and museum objects without significant alteration.</p>\u0000 </section>\u0000 </div>","PeriodicalId":225,"journal":{"name":"Rapid Communications in Mass Spectrometry","volume":"40 9","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12856783/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146083606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Colicin-Bearing Plasmids Carried by Shiga Toxin-Producing E. coli (STEC) Analyzed by Targeted Top-Down MS Analysis 产志贺毒素大肠杆菌(STEC)携带大肠杆菌素质粒的定向自上而下质谱分析
IF 1.7 3区 化学 Q4 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-01-23 DOI: 10.1002/rcm.70031
Clifton K. Fagerquist, Yanlin Shi, Mahesh Koirala, Maria T. Brandl

Rationale

Colicins are protein toxins produced by bacteria that destroy the nucleic acids or outer membranes of their bacterial neighbors. Their genes are encoded in small extra-chromosomal plasmids that play an important role in bacterial survival. Although colicins do not contribute to bacterial pathogen virulence, it is important to develop methods to identify molecular determinants that facilitate pathogen survival.

Methods

Shiga toxin-producing Escherichia coli (STEC) were analyzed for the presence of colicin-bearing plasmids using antibiotic induction, MALDI-TOF-TOF, Orbitrap mass spectrometry, and targeted top-down analysis using in-house software. Small plasmid sequencing was used to confirm plasmid-encoded genes as well as their upstream regulation. AlphaFold3 was used to rationalize expected (as well as anomalous) fragment ions detected by MS/MS post-source decay (PSD).

Results

Colicin immunity (Imm) proteins were detected and identified by targeted top-down mass spectrometry in two STEC strains (serotypes O26:H11 and O104:H7) that carried one or more colicin plasmids. ImBac, ImmD, and a 7.8 kDa hypothetical protein (whose gene resides on a plasmid that encodes a pore-forming colicin) were detected and identified. Whole genome sequencing (by other groups) and our small plasmid sequencing confirmed the colicin/immunity genes as well as their upstream regulatory control.

Conclusions

MALDI-TOF-TOF-MS/MS-PSD is an effective platform for rapid detection and identification of inducible antibacterial protein toxins. We also note that the previously reported glycine-enhanced aspartic acid effect (AAE) appears to occur most often at unstructured/linker regions of the polypeptide backbone.

原理:粘菌素是细菌产生的蛋白质毒素,它能破坏邻近细菌的核酸或外膜。它们的基因编码在小的染色体外质粒中,在细菌存活中起重要作用。虽然粘菌素不促进细菌病原体的毒力,但重要的是要发展方法来确定促进病原体生存的分子决定因素。方法:采用抗生素诱导法、MALDI-TOF-TOF、Orbitrap质谱法和内部软件进行定向自顶向下分析,分析产志贺毒素大肠杆菌(STEC)携带大肠杆菌素质粒的存在。小质粒测序用于确认质粒编码的基因及其上游调控。使用AlphaFold3对MS/MS后源衰减(PSD)检测到的预期(以及异常)片段离子进行合理化。结果:用自上而下定向质谱法检测并鉴定了携带一种或多种大肠杆菌素质粒的两种产志在大肠杆菌毒素菌株(O26:H11和O104:H7血清型)的大肠杆菌素免疫(Imm)蛋白。检测并鉴定了ImBac、imd和一个7.8 kDa的假设蛋白(其基因位于编码成孔粘菌素的质粒上)。全基因组测序(由其他团队)和我们的小质粒测序证实了colicin/免疫基因及其上游调控。结论:MALDI-TOF-TOF-MS/MS-PSD是一种快速检测和鉴定诱导型抗菌蛋白毒素的有效平台。我们还注意到,先前报道的甘氨酸增强天冬氨酸效应(AAE)似乎最常发生在多肽主链的非结构化/连接区域。
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引用次数: 0
Label-Free Quantitative Proteomics Analysis Revealed the Peptide and Keratin Protein Pattern in Different Types of Sunda Porcupine (Hystrix javanica) Quill 无标记定量蛋白质组学分析揭示了不同类型巽他豪猪(Hystrix javanica)羽毛的肽和角蛋白模式。
IF 1.7 3区 化学 Q4 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-01-22 DOI: 10.1002/rcm.70036
Andhika Yudha Prawira, Maharani Kartika Ramadhan, Tulus Maulana, Ni Luh Putu Rischa Phadmacanty, Rizki Fitrawan Yuneldi, Srihadi Agungpriyono, Berry Juliandi

Rationale

Sunda porcupine (Hystrix javanica) has quills that exhibit considerable morphological diversity and functionality, yet the molecular variation underlying these differences remains insufficiently explored. Comprehensive proteomic profiling provides an opportunity to examine peptide composition and keratin expression patterns across quill types. This study aims to characterize molecular distinctions among Sunda porcupine quills using label-free quantitative proteomic analysis.

Methods

Three quill types—spine, true quill, and rattle quill—were collected, cleaned, pulverized, and subjected to keratin-specific extraction employing reducing agents. Extracted proteins underwent in-solution digestion before analysis using LC–MS/MS on a high-resolution Orbitrap system. Peptide and protein identification utilized SequestHT against curated rodent keratin databases. Data were processed through multivariate statistical analyses, including PCA, PLS-DA, SOM, and heatmap clustering to assess quill-specific clustering, peptide distribution, and keratin profile variation among quill types.

Results

LC–MS/MS identified 653 peptides and 70 homologous proteins, revealing molecular variation among quill types. True quill and spine displayed overlapping peptide abundance patterns, whereas rattle quill demonstrated distinct clustering. Amino acid composition varied among quills, reflecting structural and functional differentiation. True quill and spine showed higher intensity of proteins than rattle quill. Keratin type I cuticular and cytoskeletal proteins were the most matched proteins. Protein profile indicated high similarity to keratins from Hystricomorpha rodent species.

Conclusion

The study demonstrates clear molecular differentiation among quill types, with true quill and spine exhibiting closer proteomic similarity than rattle quill. Distinct peptides identified in each quill category highlight their potential as biomarkers for quill-type discrimination, although further validation is required to confirm their diagnostic reliability.

理由:巽他豪猪(Hystrix javanica)的刺具有相当大的形态多样性和功能,但这些差异背后的分子变异仍未得到充分的探索。全面的蛋白质组学分析提供了一个机会来检查多肽组成和角蛋白表达模式的羽毛类型。本研究旨在利用无标记定量蛋白质组学分析表征巽他豪猪刺的分子差异。方法:收集棘毛、真毛和摇毛三种羽毛,清洗、粉碎,用还原剂进行角蛋白特异性提取。在高分辨率Orbitrap系统上使用LC-MS/MS进行分析之前,提取的蛋白质在溶液中消化。利用SequestHT对整理的啮齿动物角蛋白数据库进行肽和蛋白鉴定。数据通过多元统计分析进行处理,包括PCA、PLS-DA、SOM和热图聚类,以评估羽毛的特异性聚类、肽分布和角蛋白谱在羽毛类型之间的变化。结果:LC-MS/MS鉴定出653个多肽和70个同源蛋白,揭示了不同羽毛笔类型间的分子变异。真羽和棘羽显示重叠的肽丰度模式,而摇羽显示明显的聚类。不同刺间氨基酸组成不同,反映了结构和功能的差异。真羽和棘羽的蛋白质强度高于摇羽。角蛋白I型与角质层蛋白和细胞骨架蛋白匹配度最高。蛋白谱显示与水形目啮齿类动物的角蛋白高度相似。结论:研究结果表明,真羽和棘羽在蛋白质组学上具有明显的相似性。尽管需要进一步验证以确认其诊断可靠性,但在每个羽毛笔类别中鉴定出的不同肽突出了它们作为羽毛笔类型区分的生物标志物的潜力。
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引用次数: 0
A Novel 1,3-Sigmatropic Rearrangement in an Iminium Ion Generated in Collision-Induced Decomposition During Electrospray Ionization High Resolution Multistage Mass Spectrometry 在电喷雾电离高分辨率多级质谱分析中碰撞诱发分解产生的一种新的1,3-异位重排。
IF 1.7 3区 化学 Q4 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-01-21 DOI: 10.1002/rcm.70037
Wenbin Chen, Jiangbo Xi, Zhiyuan Gao, Juan Zhang, Junjun Zhang, Zhengwu Bai, Min Li

Rationale

Rapid structural elucidation of unknown pharmaceutical impurities is critical throughout the whole life cycle of drug development. It can be achieved by using multistage mass spectrometric analysis, in conjunction with the understanding of dissociation mechanisms of the ions generated by electrospray ionization.

Methods

Liquid chromatography-UV/photo diode array detection—high resolution multistage mass spectrometric analysis (HiRes MSn) was used to elucidate the structure of an impurity of silodosin. The structure was confirmed by 1D and 2D NMR spectroscopy.

Results

The impurity is identified as N-cyanomethylsilodosin, a solution degradant of silodosin. A novel 1,3-sigmatropic rearrangement was observed during one of its MS3 dissociation pathways. A mechanism is proposed for the 1,3-sigmatropic rearrangement, which is supported by the MSn behavior of a 13C-isotope labeled derivative of N-cyanomethylsilodosin.

Conclusion

Elucidation of such an intra-molecular rearrangement mechanism not only enriches our understanding of the gas phase dissociation chemistry, but also should facilitate future rapid structural characterization of unknown pharmaceutical impurities and metabolites using multistage mass spectrometric analysis.

原理:在药物开发的整个生命周期中,未知药物杂质的快速结构解析是至关重要的。它可以通过使用多级质谱分析,结合对电喷雾电离产生的离子的解离机制的理解来实现。方法:采用液相色谱-紫外/光电二极管阵列检测-高分辨率多级质谱分析(HiRes MSn)对西洛多辛杂质进行结构分析。通过一维和二维核磁共振波谱分析证实了其结构。结果:该杂质经鉴定为n -氰甲基西洛多辛,是西洛多辛的溶液降解剂。在其MS3解离途径之一中观察到一种新的1,3-异位重排。通过13c同位素标记的n -氰甲基西洛多辛衍生物的MSn行为,提出了1,3-异位重排的机制。结论:这种分子内重排机制的阐明不仅丰富了我们对气相解离化学的理解,而且有助于未来利用多级质谱分析快速表征未知药物杂质和代谢物的结构。
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引用次数: 0
期刊
Rapid Communications in Mass Spectrometry
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