During biosysnthesis, various post-translational modifi cations (PTMs) will lead to charge heterogeneity in monoclonal antibody (mAb) products. Due to these modifi cations, charge variants can affect the biological properties of mAbs as biotherapeutics. Hence it is very important to monitor this quality attribute during bioprocessing for lot-to-lot consistency and stability. Capillary electrophoresis (CE) with charge to mass based separation mechanism, is best situated for separation of charged molecules. Due to difference in net charge of the charge variants, their electrophoretic mobility differs, resulting in capillary zone electrophoresis (CZE) separation1,2. This Application Note demonstrates the feasibility of using CZE for monitoring the charge variants of innovator and biosimilar rituximab on Agilent 7100 CE system. Further, the basic charge variants of biosimilar rituximab were characterized by CZE/MS.

This workflow is suitable for batch-to-batch sample analysis for detecting and quantifying known potential genotoxic compounds

This study investigated the feasibility of automating an established cell surface protein isolation protocol using the Agilent AssayMAP Bravo automation platform. Epidermoid cancer cell lines - A431 was used as an in - vitro model system, and cell surface proteins were isolated using a combination of AssayMAP Bravo automation and a Pier ce Cell Surface Protein Isolation kit. The isolated proteins were then analyzed using the Agilent 2200 TapeStation system in conjunction with the Agilent P200 ScreenTape assay for differential electrophoresis profi le. The eluted proteins were then anal yzed using the Agilent HPLC - chip coupled to an Agilent 6550 iFunnel Q - TOF with dual stage ion funnel technology. Key cell surface proteins were identifi ed including extracellular matrix proteins, moderately abundant proteins including pancreatic marker protein, plectin - 1 along with F - box leucine rich repeat protein - 2, beta - actin, and PGK - 2. This study demonstrates that the AssayMAP Bravo platform can be conveniently used for automated high - throughput sample preparation workfl ows involving affi nit y purifi cations

This Application Note shows the transfer of a standard HPLC method to a UHPLC method for the analysis of 13 DNPH-derivatized aldehydes and ketones. By transferring the method from HPLC to UHPLC, the analysis time and solvent consumption was reduced by approximately 90 %. The results demonstrate the benefi t of transferring an HPLC method to UHPLC conditions without compromising precision, linearity, or limits of detection and quantifi cation.

The determination of the elemental composition in plants is important for development, growth and maintenance of plant tissues. Elements, such as Al, B, Ba, Ca, Cu, Fe, K, Mg, Mn, S, Sr, P, and Zn, are important for plant nutrition, being vital nutrients required for tissue development, maintenance and plant metabolism [1]. The determination of macro, micronutrients and contaminants in plant samples is important to keep up with sources of nutrients and minerals. The chemical analysis of plant materials can be applied to assist in the remediation of contaminated soils or to solve mineral malnutrition, a problem that seriously affects the human population [2, 3]. Inductively coupled plasma optical emission spectrometry (ICP-OES) is an attractive technique for this analysis because it can accommodate the wide concentration ranges typical of macro and micronutrients in plants. 2 Agronomical laboratories typically deal with large batches of samples. Several critical elements, in wide concentration ranges, must be determined on a routine basis for such samples. The Agilent 5100 Synchronous Vertical Dual View (SVDV) ICP-OES with Dichroic Spectral Combiner (DSC) technology, has the ability to keep up with these demands, performing axial and radial measurements in a single reading, leading to faster sample throughput times. With faster sample run times, the 5100 SVDV requires less argon per sample, meaning significant savings can be made for labs involved in high throughput analysis. The Vista Chip II detector used in the 5100 ICP-OES has the fastest processing speed (1 MHz) of any charge coupled device (CCD) detector used in ICP-OES. It delivers fast warm-up, high throughput, high sensitivity, and the largest dynamic range. This application note describes the quantitation of Al, B, Ba, Ca, Cu, Fe, K, Mg, Mn, P, S, Sr and Zn in microwave acid digested alfalfa, corn and sugarcane samples and an apple leaves certified reference material (SRM NIST 1515), using the Agilent 5100

Metabolomics allows researchers to interrogate thousands of potential biomarkers simultaneously, without a priori knowledge of the underlying biology or pathophysiology. Due to the complexity of the samples, people need outstanding mass resolution, mass accuracy, and sensitivity as well as sophisticated data analysis software. Agilent 6545 Q - TOF LC/MS system and Agilent MassHunter software are the perfect combination to fulfill the requirements. In this application, serum extracts from healthy subjects and samples with chronic kidney disease (CKD) at stage 3 and stage 5 are analyzed with 6545 LC/Q - TOF and 1290 Infinity LC system. The mass s pectrometer is tuned using the novel Swarm Autotune for optimal performance in the m/z range of the metabolites. Data was acquired in both positive and negative ionization modes with reference mass correction. The typical metabolomics workflow is ill ustrated here. Big sensitivity gains improve results The improved sensitivity of the 6545 Q - TOF LC/MS enables us to extract 5,817 features as opposed to 2,102 features on the previous generation of Q - TOF under the same column load in positive ionization mode. Even with a five - fold reduction of column load, we are still able to extract 2,489 features.

Fossil fuels have been the main source of energy in industrial applications and transportation for decades. However, depleting reserves, environmental concerns and economic issues have led to the development of renewable, cheaper and cleaner alternatives. Bio-ethanol is one of those alternatives and is derived by fermenting the sugar and starch components of plant byproducts. Different purities of bio-ethanol are used as fuel sources. Hydrated ethanol fuel has not had treatment to remove moisture and contains between 93-96% ethanol. It is often used in flexible (flex-fuel) or dual fuel engines. Anhydrous ethanol has been treated to remove moisture and has a purity of at least 99%. It is blended at up to 25% v/v with gasoline. High purity fuel can be contaminated with elemental impurities during production, stockpiling and transportation, so accurate quantitation of metal content is important. According to ASTM D4806 specification [1] and the Brazilian National Agency of Petroleum, Natural Gas and Biofuels 2 (ANP) Resolution number 19/2015 [2], the presence of Cu, Fe, Na and S in ethanol must be controlled. Limit concentrations for Cu are 0.1 and 0.07 mg/kg (ASTM and ANP respectively), 5 mg/kg Fe (ANP), 2 mg/kg Na (ANP), and 30 mg/kg S (ASTM). In this study, the accuracy, precision and long term stability performance of the Agilent 5100 Synchronous Vertical Dual View (SVDV) ICP-OES was evaluated for the determination of Cu, Fe, Na and S in ethanol fuel samples according to ASTM D4806 and ANP Resolution 19/2015 methods.

Inductively Coupled Plasma Mass Spectrometry (ICP-MS) is used increasingly in metallomic studies to analyze metals and metal species and their interactions within biological and ecological systems. It is an elemental detection technique that uses a very high temperature argon plasma as the ion source. As a result, a given concentration of an element provides a signal that is broadly consistent, irrespective of the compound structure or sample matrix. Key to achieving accurate and reliable measurements is the ability to reduce and eliminate polyatomic interferences that otherwise would bias the analytical results. Recent development of a triple quadrupole ICP-MS (ICP-QQQ) dramatically improves the efficiency and reliability of removal of spectral interferences, making it easier to analyze elements with spectral overlaps such as iron, sulfur and selenium. Furthermore, the more effective removal of spectral overlaps allows access to multiple isotopes of many elements, enabling quantification of metalloproteins and peptides through the use of isotope dilution mass spectrometry (IDMS) analysis, which eliminates the requirement for compound specific calibration standards [1]. This absolute quantification technique allows accurate

生物质被认为是一种潜在的可再生和可持续的能源。Delft 科技大学对木本和农业生物质在循环式流化床反应器中的气化过程进行了研究。该研究使用Agilent 490 微型GC 对产物气体进行分析，使用COX 色谱柱分离永久性气体，使用CP-Sil 5CB 分离BTX 化合物。

植物的生长和发育在很大程度上依赖于矿物质营养元素的组成和浓度，这反映在植物的叶片和其它组织上。这些必需的营养元素可分为两类常量营养元素（对植物的结构起重要作用，需求量大）和微量营养元素（往往与植物的调控作用相关，需求量小）。营养元素缺乏或过多都可造成植物生长变缓、产量下降或质量降低。 火焰原子吸收光谱法(FAAS) 或电感耦合等离子体发射光谱(ICP-OES) 通常用于分析植物中的总金属含量。最近，许多农业检测实验室期望采用一种功能更加强大的技术来升级或更换自己的FAAS，把目光投向了具有诸多优势的微波等离子体-原子发射光谱法(MP-AES)。MP-AES 是一种多元素分析技术，与FAAS 相比，MP-AES 的检测限更低、分析范围更宽且能分析更多元素，包括土壤施肥中广泛使用的昂贵常量营养元素磷。

本文应用发现代谢组学的精确质量Q-TOF LC/MS 工作流程，研究了处于早稳定期和晚稳定期的细菌。所采用的软件可批量处理数据，使得数据分析更高效且实现了自动化。应用Agilent MassHunter Profinder（批量特征提取软件）总共从正离子数据中获得了488 个特征，从负离子数据中获得了623 个特征。采用Mass Profiler Professional (MPP) 进行的统计学分析揭示了细菌在早稳定期和晚稳定期丰度具有显著差异的特征。在正离子数据中，有57 个特征在早稳定期中的丰度要高于晚稳定期。而在负离子数据中，有52 个特征在早稳定期中的丰度要明显高于晚稳定期。为了理解这些代谢组学数据的生物学和生物化学背景，我们通过数据库搜索、精确质量MS/MS 谱库匹配，以及MS/MS 分子结构关联对超过100 个差异特征进行了标注和鉴定。

傅立叶变换红外 (FTIR) 成像是一项成熟的分析方法，可同时获得微米级范围的光谱和空间信息。这一技术已广泛用于多种不同的应用领域，从高分子科学到生物医学成像。近年来，人们越来越关注通过主要使用基于同步加速器的系统，来提高受到衍射极限制约的 FTIR 成像系统的空间分辨率。 在本应用简报中，我们展示了一项使用现有物镜实现放大增强的新型方法。最终，我们的 FTIR 系统显示出 1 ?m/像素级别的高空间分辨率成像能力。独特的是，这种构造在设置不同的放大倍率时不需更换物镜，从而保持了常规物镜相对较大的工作距离（约 21 mm）。