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Machine Learning Combining with Ultra-High Performance Liquid Chromatography-Time-of-Flight Mass Spectrometry and Gas Chromatography-Ion Mobility Chromatography Data Fusion for Geographical Origins Discrimination of Lonicerae japonicae Flos 机器学习结合超高效液相色谱-飞行时间质谱和气相色谱-离子迁移率色谱数据融合用于金银花地理来源鉴别。
IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2026-01-08 DOI: 10.1002/jssc.70348
Ran Miao, Minmin Zhang, Xiao Wang, Simeng Hu, Shengbo Li, Hengqiang Zhao

The objective was to achieve accurate origins discriminations of flos of Lonicerae japonicae, especially those from the genuine and non-genuine producing areas. An integration strategy was proposed based on machine learning, combining ultra-high performance liquid chromatography-time-of-flight mass spectrometry and gas chromatography-ion mobility chromatography data fusion for geographical origins discrimination of flos of Lonicerae japonicae. Sixty-one batches of flos of Lonicerae japonicae samples from different origins were determined by ultra-high performance liquid chromatography-time-of-flight mass spectrometry and gas chromatography-ion mobility chromatography. Multivariate statistical analysis, including principal component analysis and partial least-squares discriminant analysis were performed for the classification with an accuracy of 80.33% and 96.72%, respectively. Variable importance in projection (VIP>1) screened 9 nonvolatile differential constituents and 32 volatile differential constituents, respectively. The results of machine learning models combined with ultra-high performance liquid chromatography-time-of-flight mass spectrometry and gas chromatography-ion mobility chromatography data fusion indicated that the multilayer perceptron, logistic, gradient boosting decision tree, and Decision Tree (CART)) combined with a middle-level data fusion approach, achieve 100% classification accuracy with the training set. Among them, the multilayer perceptron algorithm achieved 100% accuracy for both the training and testing sets. These findings provide methodology support for tracing the origin of flos of Lonicerae japonicae.

目的是对日本忍冬花,特别是真品产地和非真品产地的花进行准确的产地鉴别。提出了一种基于机器学习的整合策略,将超高效液相色谱-飞行时间质谱和气相色谱-离子迁移率色谱数据融合用于金银花的地理来源鉴别。采用超高效液相色谱-飞行时间质谱联用和气相色谱-离子迁移率色谱法对61批不同产地的金银花样品进行了测定。采用多元统计分析,包括主成分分析和偏最小二乘判别分析,分类准确率分别为80.33%和96.72%。投影变量重要性(VIP>1)分别筛选了9个非挥发性差异成分和32个挥发性差异成分。结合超高性能液相色谱-飞行时间质谱和气相色谱-离子迁移率色谱数据融合的机器学习模型结果表明,多层感知器、逻辑、梯度增强决策树和决策树(CART)结合中级数据融合方法,对训练集的分类准确率达到100%。其中,多层感知器算法对训练集和测试集的准确率均达到100%。这些发现为金银花花源溯源提供了方法学上的支持。
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引用次数: 0
Quantitative Determination of Casein in Facial Masks Labeled as Containing Milk by UHPLC-ESI-QqQ-MS uhplc - esi - qq - ms定量测定牛奶面膜中酪蛋白的含量。
IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2026-01-08 DOI: 10.1002/jssc.70346
Zhe Dong, Jiaoyi Luo, Lulu Wang, Mengyi Li, Jin Cao, Shanshan Sun

Casein-based ingredients are widely used and labeled in cosmetic products, especially facial masks. However, a reliable determination method has not been established, and label authenticity cannot be readily verified. Therefore, in the present study, we selected four previously verified marker peptides corresponding to the four milk casein subtypes (αs1, αs2, β, and κ) and developed a quantitative UHPLC–ESI–QqQ–MS method for determining caseins in facial mask samples. Compared with organic-solvent precipitation and isoelectric precipitation, an optimized in-gel enzymatic digestion using 8% polyacrylamide, followed by three cycles of ultrasound-assisted extraction with 0.1% formic acid–acetonitrile, afforded the highest recovery. αs1-, αs2-, and κ-casein showed good linearity from 0.1 to 4 µmol/L, while β-casein was linear from 0.2 to 8 µmol/L (all R2 > 0.990). For β-casein, the detection limit and quantitation limit were 10 and 30 nmol/L, respectively. Matrix effects (ME) were calculated as (response in matrix/response in neat solution) − 1. The ME values were 0.5, 0.4, 0.3, and 0.4 for the selected peptides of αs1-, αs2-, β-, and κ-casein, respectively, indicating that the corresponding peak areas in the milk matrix were 50%, 40%, 30%, and 40% higher than those obtained in neat solution. Therefore, all four peptides exhibited moderate-to-strong signal enhancement rather than ion suppression. Method accuracy and precision were satisfactory, with recoveries of 87.0%–108.0% and relative standard deviations of 2.8%–8.2%. Applied to 20 batches of facial masks labeled as containing milk protein extract, casein was detected in 11 batches. In conclusion, the method is suitable for authenticity verification of casein in cosmetic products.

酪蛋白成分被广泛用于化妆品,尤其是面膜。然而,尚未建立可靠的测定方法,标签的真伪无法轻易验证。因此,在本研究中,我们选择了4个先前验证过的与4种牛奶酪蛋白亚型(αs1、αs2、β和κ)对应的标记肽,建立了一种uhplc - esi - qq - ms定量测定面膜样品中酪蛋白的方法。与有机溶剂沉淀法和等电沉淀法相比,采用8%聚丙烯酰胺凝胶内酶切法,再以0.1%甲酸-乙腈超声辅助提取3次,回收率最高。αs1-、αs2-、κ-酪蛋白在0.1 ~ 4µmol/L范围内呈良好的线性关系,β-酪蛋白在0.2 ~ 8µmol/L范围内呈良好的线性关系(R2均为> 0.990)。β-酪蛋白的检测限为10 nmol/L,定量限为30 nmol/L。矩阵效应(ME)计算为(矩阵中的响应/纯溶液中的响应)- 1。αs1-、αs2-、β-和κ-酪蛋白所选肽的ME值分别为0.5、0.4、0.3和0.4,表明乳基质中相应的峰面积比纯溶液中分别提高了50%、40%、30%和40%。因此,所有四种多肽都表现出中强信号增强而不是离子抑制。方法准确度和精密度满意,回收率为87.0% ~ 108.0%,相对标准偏差为2.8% ~ 8.2%。应用于20批标有牛奶蛋白提取物的面膜,检测了11批酪蛋白。本方法适用于化妆品中酪蛋白的真伪鉴别。
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引用次数: 0
A Polymeric Zwitterionic Hydrophilic Probe for Mapping the Human Serum Endogenous Glycopeptidome. 一种用于定位人血清内源性糖肽酶的两性离子型聚合物亲水性探针。
IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2026-01-01 DOI: 10.1002/jssc.70343
Muhammad Salman Sajid, Shafaq Saleem, Habtom W Ressom

Endogenous glycopeptides in human serum are valuable candidates for disease biomarker discovery, but their low abundance and structural complexity pose significant analytical challenges. In this study, we developed and optimized a robust workflow for enriching and in-depth characterizing the endogenous glycopeptidome using a novel hydrophilic interaction liquid chromatography (HILIC) sorbent. The HILIC-based strategy effectively enriched glycopeptides from mono-glycosylated IgG and avidin digests, as well as multi-glycosylated horseradish peroxidase (HRP), demonstrating high selectivity, femtomolar-level sensitivity (down to 1 fmol), reproducibility (RSD > 1), and reusability for up to four cycles. Comprehensive analysis by mass spectrometry (MS) identified 334 endogenous intact N-linked glycopeptides, including 318 N-glycosites from 289 glycoproteins. In addition, 242 endogenous intact O-linked glycopeptides from 38 glycoproteins are identified. These represent one of the most extensive endogenous glycopeptide datasets to date. N-glycans were primarily complex biantennary types, while Core 1 structures dominated O-glycans. Motif analysis revealed a strong preference for canonical N-glycosylation motifs (NXT/NXS) and a nearly equal distribution of O-glycosylation on serine and threonine residues. Gene Ontology analysis indicated functional enrichment in membrane-associated, catalytic, and immune-related processes. This optimized HILIC-MS platform enables sensitive and reproducible glycoproteomic profiling, providing a valuable tool for biomarker discovery.

人血清中的内源性糖肽是发现疾病生物标志物的宝贵候选者,但它们的低丰度和结构复杂性给分析带来了重大挑战。在这项研究中,我们开发并优化了一个强大的工作流程,利用一种新的亲水性相互作用液相色谱(HILIC)吸附剂来丰富和深入表征内源性糖肽穹。基于hilic的策略有效地富集了单糖基化IgG和亲和素消化的糖肽,以及多糖基化辣根过氧化物酶(HRP),具有高选择性,飞摩尔水平的灵敏度(低至1 fmol),重复性(RSD bb0.1)和可重复使用长达4个循环。综合质谱分析(MS)鉴定出334个内源性完整的n -连接糖肽,包括来自289个糖蛋白的318个n -糖位点。此外,从38种糖蛋白中鉴定出242个内源性完整的o -链糖肽。这些是迄今为止最广泛的内源性糖肽数据集之一。n -聚糖主要为复杂的双天线型,而o -聚糖以Core 1结构为主。基序分析显示,典型的n -糖基化基序(NXT/NXS)具有强烈的偏好,丝氨酸和苏氨酸残基上的o -糖基化分布几乎相等。基因本体分析表明,在膜相关、催化和免疫相关过程中功能富集。这种优化的HILIC-MS平台能够实现敏感和可重复的糖蛋白组学分析,为生物标志物的发现提供了有价值的工具。
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引用次数: 0
Chromatographic-Based Binding and Thermodynamic Studies of Antibiotic Micropollutants with Humic Acid Using Affinity Microcolumns. 基于亲和微柱的抗生素微污染物与腐植酸的结合及热力学研究。
IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2026-01-01 DOI: 10.1002/jssc.70345
Sadia Sharmeen, Isaac Kyei, Saumen Poddar, Sazia Iftekhar, B K Sajeeb, Lillian M Graham, Daniel D Snow, David S Hage

High-performance affinity microcolumns with entrapped humic acid were utilized to investigate interactions between this natural carrier agent and several classes of antibiotics that are common emerging environmental contaminants, or micropollutants. Aldrich humic acid was used as a general model for this type of binding agent. Chromatographic studies under various temperature and mobile phase conditions were used to characterize interactions of the humic acid with the antibiotics sulfadiazine and sulfamethoxazole (sulfonamides), clarithromycin (a macrolide), and lincomycin (a lincosamide). It was determined by this approach that sulfadiazine and sulfamethoxazole had moderate affinities for the humic acid at pH 7.0 and 25°C, with distribution equilibrium constants (KD) of ∼2-3 × 101 L/kg and global affinities (nK'a) of ∼0.8-1.0 × 103 M-1. Lincomycin and clarithromycin had stronger binding, with KD and nK'a values of 3.8-7.5 × 102 L/kg and 1.3-2.6 × 104 M-1. All the antibiotics had a negative Δ G 0 $Delta {{G}^0}$ for this binding, representing spontaneous reactions, and a negative change in enthalpy; however, the change in free energy due to entropy was positive in some cases but negative in others. The binding strength decreased in each case as the ionic strength increased. A change in pH also affected binding, as was consistent with the presence of significant electrostatic interactions from some of the antibiotics. These experiments demonstrated how affinity microcolumns could be employed to study such interactions quickly and with only small amounts of binding agent. The fundamental information obtained through this analytical technique should be valuable in characterizing the transport and activity of these antibiotics in the environment and in adapting this approach to the study of other binding agents and micropollutants that may be found in water.

利用高效亲和微柱包埋腐植酸来研究这种天然载体剂与几种常见的新兴环境污染物或微污染物抗生素之间的相互作用。奥尔德里奇腐植酸被用作这类粘合剂的一般模型。在不同温度和流动相条件下进行色谱研究,以表征腐植酸与抗生素磺胺嘧啶和磺胺甲恶唑(磺胺类药物)、克拉霉素(大环内酯类药物)和林可霉素(林可胺类药物)的相互作用。通过该方法确定,磺胺嘧啶和磺胺甲恶唑在pH 7.0和25°C下对腐植酸具有中等亲和力,分布平衡常数(KD)为~ 2-3 × 101 L/kg,全局亲和力(nK'a)为~ 0.8-1.0 × 103 M-1。林可霉素与克拉霉素结合较强,KD值为3.8 ~ 7.5 × 102 L/kg, nK’a值为1.3 ~ 2.6 × 104 M-1。所有抗生素对这种结合都有负的Δ G 0 $Delta {{G}^0}$,代表自发反应,焓变为负;然而,由熵引起的自由能的变化在某些情况下是正的,而在另一些情况下是负的。结合强度随离子强度的增大而减小。pH值的变化也会影响结合,这与某些抗生素存在显著的静电相互作用是一致的。这些实验证明了亲和微柱可以快速研究这种相互作用,并且只需要少量的结合剂。通过这种分析技术获得的基本信息对于描述这些抗生素在环境中的运输和活性以及将这种方法应用于研究可能在水中发现的其他结合剂和微污染物应该是有价值的。
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引用次数: 0
A Protocol for Robust Discovery Proteomics Using Nano Liquid Chromatography Using Pillar-Array Column Technology and High-Resolution Mass Spectrometry With Data-Independent Acquisition 采用柱阵列技术和高分辨率质谱技术的纳米液相色谱稳健发现蛋白质组学协议与数据独立采集。
IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-28 DOI: 10.1002/jssc.70340
Daniel Papp, Hanrong Wen, David Scheich, Nico Lingg, Goran Mitulović, Sebastiaan Eeltink

Nano liquid chromatography–mass spectrometry has come to be a key enabling technology in shotgun proteomics due to the combination of exceptional separation power, sensitivity, and comprehensiveness. However, the know-how of setting up proteomics methods to deliver robust, reliable, and meaningful results to large-scale life science experiments has remained somewhat ambiguous. This protocol outlines guidance for establishing nano-LC–MS/MS workflows focusing on comprehensive and untargeted deep proteome profiling, using state-of-the-art column technology and mass spectrometry. Employing a second-generation micropillar-array column, a trade-off is demonstrated between analysis time and chromatographic resolving power, which in turn impacts peptide and protein identification scores from a commercial HeLa reference standard. Furthermore, a straightforward workflow to develop a data-independent acquisition (DIA)-parallel accumulation—serial fragmentation (PASEF) analytical method is proposed, with a special focus on the optimization of the ESI source settings. Besides the method development, the study discusses the use of segmented gradients, and an MS-compatible surfactant in the sample diluent is also explored. Finally, the robustness of the developed method is demonstrated through consistently identifying 7558 protein groups (CV = 0.3%) as maintaining high repeatability peptide retention times (mean CV = 0.2%) and system pressure (CV = 0.4%) over 21 consecutive analyses.

纳米液相色谱-质谱法由于其卓越的分离能力、灵敏度和全面性,已成为霰弹枪蛋白质组学的关键技术。然而,建立蛋白质组学方法以提供稳健、可靠和有意义的结果用于大规模生命科学实验的技术诀窍仍然有些模糊。本协议概述了建立纳米lc -MS/MS工作流程的指导,重点是全面和非靶向深度蛋白质组分析,使用最先进的柱技术和质谱。采用第二代微柱阵列色谱柱,证明了分析时间和色谱分辨率之间的权衡,这反过来影响商业HeLa参考标准的肽和蛋白质鉴定分数。此外,提出了一种开发数据独立采集(DIA)-并行积累-串行碎片(PASEF)分析方法的简单工作流程,并特别关注ESI源设置的优化。除了方法的发展外,本研究还讨论了分段梯度的使用,并探索了样品稀释剂中与质谱相容的表面活性剂。最后,通过在21个连续分析中一致地鉴定出7558个蛋白质组(CV = 0.3%),以保持高重复性肽保留时间(平均CV = 0.2%)和系统压力(CV = 0.4%),证明了所开发方法的鲁棒性。
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引用次数: 0
Determination of the Weight Percent of Aromatic Compounds in a Heavy Fuel Oil by Using Flash Chromatography and Solid-phase Extraction Coupled With High-Temperature Two-Dimensional Gas Chromatography and Electron Ionization Time-of-Flight High-Resolution Mass Spectrometry 闪蒸色谱法和固相萃取法结合高温二维气相色谱法和电子电离飞行时间高分辨率质谱法测定重质燃料油中芳香族化合物的重量百分比
IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-28 DOI: 10.1002/jssc.70341
Kawthar Z. Alzarieni, Wan Tang Jeff Zhang, Brent Modereger, Wanru Li, Gozdem Kilaz, Hilkka I. Kenttämaa

A chromatography/mass spectrometry method is presented for the determination of the weight percent of aromatic compounds in a heavy marine fuel oil. This information facilitates the estimation of the stability, engine performance, and environmental as well as health-related consequences related to heavy fuel oils. These fuel oils are complex mixtures of many different compound types. Thus, a previously reported method was used to first separate the oil sample via distillation, precipitation, and fractionation into asphaltenes, heavy saturated hydrocarbons, alkylaromatic hydrocarbons, aromatic and heteroaromatic, as well as polar compounds. For the fractionation, both flash column chromatography and solid-phase extraction techniques were utilized to ensure proper separation of the compound classes in the maltenes fraction of the sample. High-temperature two-dimensional gas chromatography coupled with high-resolution electron ionization time-of-flight mass spectrometry was used to determine the overall compound compositions of the obtained fractions (other than the asphaltenes) and to classify the detected compounds. The results indicate that the saturated compound fraction contained only alkanes, while all the other fractions contained aromatic compounds. Combining the weight percent of these fractions was used to determine the weight percent of the aromatic compounds in the oil sample.

提出了一种色谱-质谱法测定船用重质燃料油中芳香族化合物的质量百分比。这些信息有助于评估稳定性、发动机性能以及与重质燃料油相关的环境和健康后果。这些燃料油是许多不同化合物类型的复杂混合物。因此,先前报道的方法首先通过蒸馏、沉淀和分馏将油样分离为沥青质、重饱和烃、烷基烃、芳烃和杂芳烃以及极性化合物。对于分馏,使用闪柱色谱法和固相萃取技术来确保样品中马来烯类化合物的适当分离。高温二维气相色谱与高分辨率电子电离飞行时间质谱相结合,用于确定所获得馏分的整体化合物组成(不包括沥青质),并对检测到的化合物进行分类。结果表明,饱和馏分中仅含有烷烃,其余馏分均含有芳香族化合物。结合这些馏分的重量百分数来确定油样品中芳香族化合物的重量百分数。
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引用次数: 0
Silica Regeneration and Chiral Separation: Comparative Performance of (2-Hydroxyethyl)-β-Cyclodextrin-Grafted Superficially Porous Versus Fully Porous Particles in Reversed-Phase Liquid Chromatography and Supercritical Fluid Chromatography 二氧化硅再生和手性分离:(2-羟乙基)-β-环糊精接枝的表面多孔和完全多孔颗粒在反相液相色谱和超临界流体色谱中的性能比较。
IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-28 DOI: 10.1002/jssc.70336
Guangyong Yang, Yufang Tang, Huangtao Zhang, Fei Yang, Hongli Wang

A wet oxidation method was developed to remove the bonded phase from silica-based packing materials in spent chromatographic columns, thereby regenerating sub-3 µm monodisperse superficially porous particles (SPPs). The (2-hydroxyethyl)-β-cyclodextrin was grafted onto the surface of the regenerated particles, creating a chiral stationary phase (CSP). For comparison, CSPs were also prepared based on commercially available fully porous particles (3 µm, FPPs) and commercially available SPPs (2.7 µm). The chiral separation performance of these CSPs was evaluated using nine racemic compounds in reversed-phase liquid chromatography (RPLC) and supercritical fluid chromatography (SFC). The results showed that the regeneration method effectively removed the bonded phase from the spent column packing materials while maintaining the structural integrity of the SPP. Under the same chromatographic conditions, the SPP-CSP achieved a comparable enantioselectivity relative to the FPP-CSP while demonstrating superior column efficiency. The SPP-CSP displayed higher enantioselectivity when chromatographic conditions were altered to yield equivalent analysis times. SFC and RPLC demonstrated complementary chiral recognition ranges. SFC achieved higher enantioselectivity and better chromatographic performance within their jointly effective separation ranges. Compared to commercially available (2-hydroxypropyl)-β-cyclodextrin column of identical structure and specifications, the (2-hydroxyethyl)-β-cyclodextrin SPP-CSP exhibits different enantioselectivity. CSPs prepared from regenerated SPPs exhibit no significant differences in chiral separation performance compared to commercially available SPPs of the same brand, structure, and specifications. The (2-hydroxyethyl)-β-cyclodextrin SPP-CSP, synthesized via a straightforward and uncomplicated method, demonstrates favorable stability and chiral resolution capabilities.

采用湿氧化法去除废色谱柱中硅基填料的粘结相,再生出低于3µm的单分散表面多孔颗粒(SPPs)。将(2-羟乙基)-β-环糊精接枝到再生颗粒表面,形成手性固定相(CSP)。为了进行比较,csp也基于市售的全多孔颗粒(3µm, FPPs)和市售的SPPs(2.7µm)制备。采用反相液相色谱(RPLC)和超临界流体色谱(SFC)对9种外消旋化合物的手性分离性能进行了评价。结果表明,再生方法在保持SPP结构完整性的同时,有效地去除了废柱填料中的键合相,在相同的色谱条件下,SPP- csp与FPP-CSP具有相当的对映选择性,且柱效率更高。当改变色谱条件以产生相同的分析时间时,SPP-CSP表现出更高的对映体选择性。SFC和RPLC具有互补的手性识别范围。SFC在其共同有效分离范围内具有较高的对映选择性和较好的色谱性能。与市售结构规格相同的(2-羟乙基)-β-环糊精柱相比,(2-羟乙基)-β-环糊精SPP-CSP具有不同的对映选择性。与相同品牌、结构和规格的市售spp相比,再生spp制备的csp在手性分离性能上没有显著差异。通过简单明了的方法合成了(2-羟乙基)-β-环糊精SPP-CSP,具有良好的稳定性和手性分辨能力。
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引用次数: 0
Development of a Novel Rotor Design for Counter-Current Centrifugal Extraction Based on Computational Fluid Dynamics Simulations 基于计算流体动力学仿真的逆流离心抽提转子设计研究。
IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-22 DOI: 10.1002/jssc.70339
Sophia Volpert, Lisa Nordhausen, Richard Alfsmann, Gerhard Schembecker

This study introduces an innovative method for continuous multistage liquid–liquid extraction. Addressing challenges like coalescence and settling times that limit efficiency makes centrifugal partition extraction a promising technique for continuous product separation. It combines the benefits of a mixer-settler cascade with centrifugal extractors in one compact apparatus. The working principle is based on centrifugal partition chromatography, where two immiscible liquid phases are contacted inside a rotor, one serving as the mobile phase and the other as the stationary phase. In centrifugal partition extraction, both phases are mobile. The rotating apparatus allows dispersion and reduces settling time compared with static settlers, with its 300 times higher acceleration. To overcome constructional challenges, a novel concept, termed counter-current centrifugal extraction, is introduced in this work. Thereby, the primary objective is to validate the hypothesis that the process is feasible with a modified rotor design consisting of 10 chambers connected by individual ducts. Combined with alternating pump directions, this enables a pseudo-continuous counter-current flow. A proof of concept is investigated using computational fluid dynamics. The methodologies employed yield valuable insights into hydrodynamic performance. Based on these simulations, an optimized geometry for the flow area is developed, where 100% of the total chamber height is utilized as a dispersion zone compared with the previous 45%. The improvements result in elliptical chambers inclined at 35° to the radial direction, with a height of 6 mm and a volume of 1.43 mL. Additionally, baffles are placed inside the chambers opposite to the two inlets, enhancing dispersion of the inflowing phases. Finally, during alternating operation mode, it is demonstrated that ducts with a volume of 0.17 mL lead to an alternating phase ratio between 0.48 and 0.57 inside the chambers, which was repeatable over five simulated switches. This confirms the feasibility of the concept proposed based on hydrodynamics.

介绍了一种创新的多级液-液连续萃取方法。解决了聚结和沉淀时间等限制效率的挑战,使离心分区萃取成为一种有前途的连续产品分离技术。它结合了一个紧凑的设备的混合-沉淀级联与离心萃取器的好处。其工作原理基于离心分配色谱法,在转子内接触两种不混溶的液相,一种为流动相,另一种为固定相。在离心分区萃取中,两相都是流动的。与静态沉降器相比,旋转装置允许分散并减少沉降时间,其加速度高300倍。为了克服结构上的挑战,在这项工作中引入了一种新的概念,称为逆流离心抽提。因此,主要目标是验证假设,即该过程是可行的,改进的转子设计由10个由个别管道连接的室组成。结合交替泵的方向,这使得伪连续逆流流动。利用计算流体力学对概念进行了验证。所采用的方法对水动力性能产生了有价值的见解。基于这些模拟,优化了流动区域的几何形状,其中100%的腔室总高度被用作分散区,而之前的比例为45%。改进后的椭圆腔室与径向倾斜35°,高度为6 mm,体积为1.43 mL。此外,在与两个入口相对的腔室内放置挡板,以增强流入相的分散。最后,在交替操作模式下,证明了体积为0.17 mL的管道导致腔室内的交变相比在0.48和0.57之间,这在五个模拟开关上是可重复的。这证实了基于流体力学提出的概念的可行性。
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引用次数: 0
Determination of 116 Pharmaceuticals and Personal Care Products in Water by Ultra-High Performance Liquid Chromatography-Tandem Mass Spectrometry 超高效液相色谱-串联质谱法测定水中116种药品和个人护理用品。
IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-22 DOI: 10.1002/jssc.70338
Ming Xue, Yuwei Hong, Yanhong Lu, Shaoyin Liu, Haocheng Wu

This study examined an improved and simplified method for solid-phase extraction that provides rapid and accurate determination and identification of 116 pharmaceutical and personal care products (PPCPs) in an aqueous environment using ultra-high performance liquid chromatography-tandem mass spectrometry. The common active compounds include 22 sulfonamides, 18 quinolones, 8 macrolides, 18 β-agonists, 6 sedative-hypnotics, 3 antipyretic-analgesics, 3 antihypertensives, 2 antidiabetic drugs, 3 antihistamines, 8 sex hormones, 2 antivirals, 6 nitroimidazoles, 8 glucocorticoids, and 3 amphenicols, lincomycin, pimaricin, levothyroxine sodium, bisphenol A, aldosterone, and melamine in water samples. Key parameters of tandem mass spectrometry, ultra-high performance liquid chromatography, and solid-phase extraction were optimized to enhance the analytical performance. The calibration curves were accomplished at seven concentration levels, and a satisfactory linear relationship (R > 0.99) was observed within the range of 5–800 ng/mL. Results showed varying limits of detection (0.0136–13.3 ng/L for different analytes based on signal-to-noise (S/N) = 3) and limits of quantitation (0.0452–44.4 ng/L). Recoveries of the spiked samples ranged from 53.1% to 116.5% with relative standard deviation lower than 9.9%. This approach effectively minimized matrix interference, improved extraction efficiency, and enhanced detection sensitivity, enabling more accurate PPCP residue analysis in water. The validated method was applied to raw water, treated water, and river water samples from Hangzhou, detecting 47 compounds at concentrations ranging from nondetected to 359 ng/L. Our findings provided critical technical support for the preliminary establishment of an environmental monitoring system targeting emerging pollutants. Notably, to the best of our knowledge, this study represented the first reported detection of melamine, loratadine, aldosterone, and levothyroxine sodium in aquatic environments. In particular, melamine was detected in aquatic environment for the first time, thus expanding the understanding of PPCPs’ pollution status.

本研究研究了一种改进和简化的固相萃取方法,该方法可以在水环境中快速准确地测定和鉴定116种药品和个人护理产品(PPCPs)。水样中常见的活性化合物包括22种磺胺类药物、18种喹诺酮类药物、8种大环内酯类药物、18种β激动剂、6种镇静催眠药、3种解热镇痛药、3种降压药、2种降糖药、3种抗组胺药、8种性激素、2种抗病毒药物、6种硝基咪唑、8种糖皮质激素,以及3种氨霉素、林可霉素、海马西林、左旋甲状腺素钠、双酚A、醛固酮和三聚氰胺。对串联质谱法、超高效液相色谱法和固相萃取法的关键参数进行优化,以提高分析性能。在7个浓度水平下完成了标定曲线,在5 ~ 800 ng/mL范围内呈良好的线性关系(r> 0.99)。基于信噪比(S/N) = 3,不同分析物的检出限为0.0136 ~ 13.3 ng/L,定量限为0.0452 ~ 44.4 ng/L。加样回收率为53.1% ~ 116.5%,相对标准偏差小于9.9%。该方法有效地减少了基质干扰,提高了提取效率,提高了检测灵敏度,使水中PPCP残留分析更加准确。将验证的方法应用于杭州原水、处理水和河流水样,检测出47种化合物,浓度范围从未检测到359 ng/L。我们的研究结果为初步建立针对新出现污染物的环境监测系统提供了关键的技术支持。值得注意的是,据我们所知,这项研究是首次报道在水生环境中检测到三聚氰胺、氯雷他定、醛固酮和左旋甲状腺素钠。特别是首次在水生环境中检测到三聚氰胺,扩大了对PPCPs污染状况的认识。
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引用次数: 0
Integrating Ultrahigh-Performance Liquid Chromatography–Mass Spectrometry and Network Pharmacology: Systematic Identification and Quantification of Bioactive Components in Erdong–Yangxin Oral Liquid, An Antidepressant Herbal Formulation 结合高效液相色谱-质谱法和网络药理学:抗抑郁中药制剂二冬养心口服液中生物活性成分的系统鉴定和定量。
IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-18 DOI: 10.1002/jssc.70342
Mei Wang, Jianming Zhang, Huishan Zhang, Jiaxuan Li, Jifeng Gu, Rong Shi

Erdong–Yangxin oral liquid (EYOL) is a traditional Chinese medicine (TCM) prescription that demonstrates clinical efficacy in treating depression, yet its comprehensive chemical profile and quality-control markers remain insufficiently studied. This study aimed to systematically characterize its chemical composition and establish a robust method for quality assessment. First, ultrahigh-performance liquid chromatography (UHPLC)–linear ion trap quadrupole–Orbitrap mass spectrometry enabled the tentative identification of 149 compounds, primarily iridoid glycosides, flavonoids, and saponins. Subsequently, network pharmacology analysis predicted several components, such as dioscin, calycosin, and ruscogenin, as potential bioactive candidates based on their target network associations. To quantitatively assess key constituents, a novel method based on UHPLC–tandem mass spectrometry was established and fully validated for 15 components selected by integrating network pharmacology predictions, phytochemical characteristics, and pharmacopoeia references. Quantitative results revealed catalpol as the predominant component, followed by rehmannioside D, lobetyolin, dioscin, and calycosin-7-O-β-d-glucoside. The study establishes a comprehensive chemical basis for EYOL and a reliable quantitative approach for its quality control, facilitating further research into its pharmacodynamic material basis.

二东养心口服液(EYOL)是一种具有临床疗效的治疗抑郁症的中药方剂,但其综合化学成分和质量控制指标的研究尚不充分。本研究旨在系统表征其化学成分,并建立一个可靠的质量评价方法。首先,超高效液相色谱(UHPLC)-线性离子阱-四极轨道阱质谱法初步鉴定了149种化合物,主要是环烯醚萜苷、类黄酮和皂苷。随后,网络药理学分析预测了几种成分,如薯蓣皂苷元、毛蕊异黄酮和ruscogenin,基于它们的目标网络关联,是潜在的生物活性候选者。为了定量评估关键成分,建立了一种基于uhplc -串联质谱的新方法,并通过整合网络药理学预测、植物化学特性和药典参考文献对15种成分进行了充分验证。定量结果显示,主要成分为梓醇,其次为地黄苷D、红血球苷、薯蓣皂苷和毛蕊花苷-7- o -β- D -葡萄糖苷。本研究为EYOL建立了全面的化学基础,为其质量控制提供了可靠的定量方法,为进一步研究其药效学物质基础奠定了基础。
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Journal of separation science
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