Multi-attribute Method Research Articles

Multi-attribute method analysis of therapeutic monoclonal antibodies using an automated sample preparation system

The multi-attribute method (MAM) has attracted increased attention as an alternative strategy for evaluating structural heterogeneity using conventional separation techniques such as ion-exchange chromatography and capillary electrophoresis of therapeutic monoclonal antibodies (mAbs). One of the remaining challenges for the practical use of the MAM is reliable and robust continuous monitoring. In this study, we successfully established an automated sample preparation system as a solution to this issue. Through method optimization, we confirmed that the peptide purification step using a solid-phase extraction column, which is usually performed after the digestion step, was not mandatory and that the addition of methionine as an oxidation inhibitor was able to significantly reduce artificial oxidation. Importantly, the use of our system enabled high-precision analysis for targeted peptide monitoring without relying on the operator’s knowledge and experience with peptide mapping using liquid chromatography/mass spectrometry (LC/MS). Our system could also be useful as a platform approach for targeted peptide monitoring in MAM workflow of traditional IgG-type mAbs. Furthermore, using common samples that were prepared using the automated system, we assessed the compatibility of LC/MS system in the targeted peptide monitoring via a collaborative study with MS vendors. The results showed that there was no significant difference in the mass accuracy, repeatability of the peak retention time and variations of intermediate precision of the measurement values among the four LC/MS systems, suggesting sufficient compatibility among the LC/MS systems. MAM system using our automated sample preparation method, which had high intermediate precision, will be useful for release and stability testing as well as characterization and manufacturing process development.

CE-MS and CE-MS/MS for the multiattribute analysis of monoclonal antibody variants at the subunit level

The analysis of product-related substances and impurities is a critical step in the biopharmaceutical quality control of multiattribute monoclonal antibodies (mAbs), as posttranslational modifications or other variants can influence the product's biological activity. Many approaches are available for variant analysis; however, they are either variant-specific, mAb-specific, time-consuming, or require expensive equipment. Here, we present a generic capillary electrophoretic method based on a neutral-coated capillary which was coupled to mass spectrometry (MS) via the nanoCEasy interface for mAb variant analysis at the subunit level (enzymatically digested and reduced mAb). The method enabled the separation of several (i) size variants (e.g. glycosylation variants) and (ii) charge variants (e.g. c-terminal lysin clipping) as well as (iii) multiple other proteoforms (e.g. additional glycation) and (iv) incompletely reduced subunits. Separated variants were confirmed by MS/MS fragmentation even for small mass deviations like deamidation or open disulfide bridges. The system, initially developed for one mAb, was tested with nine other IgG1s to show the general applicability of the system. The presented multiattribute method enables fast and detailed characterization of mAb variants with little sample preparation and relatively simple separation equipment enabling the separation of a large set of mAb variants.

Glycan Profiling of Therapeutic Antibody by Multi-attribute Method

Glycan Profiling of Therapeutic Antibody by Multi-attribute Method

Glycan Profiling of Therapeutic Antibody by Multi-attribute Method

Glycan Profiling of Therapeutic Antibody by Multi-attribute Method

Evaluation of Costumer Attitudes: Attributes Product of Mango Peel Powder

Indramayu is the number one mango fruit producing city in West Java Province. While there has been no handling and processing of home industrial waste. This can cause serious problems in the environment. There is a need for an economic and environmentally based waste management system. One of them solution is processing mango peel waste into GOPE (mango peel) powder, products as a natural food additive to replace essence powder products and synthetic powder for food and drinks. The purpose of this study is to analyze consumer attitudes towards the mango peel powder. Consumer attitude is an emotional expression of consumers that shows whether consumers like an object or not so that attitudes can describe the level of consumer confidence in products or services. Consumer attitudes on mango peel powder product attributes describe what priority attributes are taken into consideration in choosing product. This research is a quantitative descriptive using Fishbein's multi-attribute method. Fishbein's Multiattribute Model can measure consumer attitudes using three components: the level of importance, trust, and attitude evaluation. There are thirty who are consumers have consumed essence powder products in the last two months and selected using accidental sampling . The results of this study indicate that research respondents have a positive attitude towards five attributes of Taste, texture, form, composition, smell and one of them are netral about one attributes: colour.

Possibility of using the imaged capillary isoelectric method as a multi-attribute method for bispecific antibodies.

An imaged capillary isoelectric focusing (icIEF)-based method was developed and validated as a multi-attribute method for a bispecific antibody (BsAb). First, as the traditional application of the icIEF method, it serves as an identity assay and purity assay for the BsAb. Second, the method can also be used as an impurity assay for the homodimer monoclonal antibodies generated during BsAb assembly. The homodimer impurity analysis for BsAb is usually done by hydrophobic interaction chromatography methods in the industry. The icIEF method has good sensitivity (down to 4µg/mL in a limit of quantitation) when UV fluorescence detection is used, which detects the native fluorescence of proteins. This is the first report that an icIEF method has been applied as impurity assay.

Rapid Mass Spectrometry-Based Multiattribute Method for Glycation Analysis with Integrated Afucosylation Detection Capability.

The multiattribute method (MAM) has emerged as a powerful tool for simultaneously screening multiple product quality attributes of therapeutic antibodies. One such potential critical quality attribute (CQA) is glycation, a common modification that can impact the heterogeneity, functional activity, and immunogenicity of therapeutic antibodies. However, current methods for monitoring glycation levels in MAM are rare and not sufficiently rapid and accurate. In this study, an improved mass spectrometry (MS)-based MAM was developed to simultaneously monitor glycation and other quality attributes including afucosylation. The method was evaluated using two therapeutic antibodies with different glycosylation site numbers. Treatment with IdeS, Endo F2, and dithiothreitol generated three distinct subunits, and the glycation results obtained were similar to those treated with PNGase F, which is routinely used to release glycans; the sample processing time was greatly reduced while providing additional quality attribute information. The MS-based MAM was also employed to assess the glycation progression following forced glycation in various buffer solutions. A significant increase in oxidation was observed when forced glycation was conducted in an ammonium bicarbonate buffer solution, and a total of 23 potential glycation sites and 4 significantly oxidized sites were identified. Notably, we found that ammonium bicarbonate was found to specifically stimulate oxidation, while glycation had a synergistic effect on oxidation. These findings establish this study as a novel methodology for achieving a technologically advanced platform and concept that enhances the efficacy of product development and quality control, characterized by its broad-spectrum, rapid, and accurate nature.

Facies Analysis Using Attribute Seismic With Simply Rock Typing in Field “X” Kutai Basin

Abstract Field X is one of the hydrocarbons producing fields in the Kutai Basin which is one of the largest and deepest tertiary basins producing the second largest hydrocarbon production in Indonesia with 2.47MMBO oil reserves and 28.1 TCF gas. Based on qualitative analysis, the target zone in the four wells is estimated to be within the range of 1050 – 1400 ms. Sensitivity analysis was employed to determine the most sensitive parameters capable of distinguishing lithology within the formation. To ascertain the optimal number of attributes to be used, linear regression was employed, resulting in the selection of 12 attributes with a correlation coefficient of 0.919. Concurrently, log data was utilized for electro facies analysis. Electro facies analysis involved interpreting the shape of the gamma-ray curve, which indicated that the deposition setting in the four wells resembled a delta system. Additionally, rock typing was employed to classify rocks based on wet clay shale parameters, yielding information about the direction and more detailed settings of deposition. The results from the multi-attribute method, rock typing, and electro facies analysis, it was determined that Field X was deposited in a tidal delta to delta front environment, with a deposition direction from North to South.

Implementation of a LC-MS based multi-attribute method (MAM) and intact multi-attribute method (iMAM) workflow for the characterisation of a GLP-Fc fusion protein

Over the past few years, the implementation of mass spectrometry (MS) in QC laboratories has become a more common occurrence. The multi-attribute method (MAM), and emerging intact multi-attribute method (iMAM), are powerful analytical tools utilising liquid chromatography−mass spectrometry (LC-MS) methods that enable the monitoring of critical quality attributes (CQAs) in biotherapeutic proteins in compliant settings. Both MAM and iMAM are intended to replace or supplement several conventional assays with a single LC-MS method utilising MS data in combination with robust, semi-automated data processing workflows. MAM and iMAM workflows can also be implemented into current Good Manufacturing Practices environments due to the availability of CFR 11 compliant chromatography data system software. In this study, MAM and iMAM are employed for the analysis of 4 batches of a glucagon-like peptide-Fc fusion protein. MAM approach involved a first the discovery phase for the identification of CQAs and second, the target monitoring phase of the selected CQAs in other samples. New peak detection was performed on the data set to determine the appearance, absence or change of any peak. For native iMAM workflow both size exclusion and strong cation exchange chromatography were optimized for the identification and monitoring of CQAs at the intact level.

Improved Mass Accuracy and Precision for Multi-Attribute Methods Using a New Internally Calibrated High Resolution Orbitrap Mass Detector.

In the development of biotherapeutics, a thorough understanding of a molecule's product quality attributes (PQAs) and their effect on structure-function relationships and long-term stability is essential for ensuring the safety and efficacy of the product. First published in 2015, the multi-attribute method (MAM), based on LC-MS peptide mapping and automation principles, can be used to support biotherapeutic process and product development. The MAM provides simultaneous site-specific detection, identification, quantitation, and quality control monitoring of selected PQAs. In this article, a low-maintenance MAM-ready mass detector with a small footprint was evaluated for its ability to monitor PQAs on proteolytically digested proteins with high mass accuracy and precision. Optimized source parameters enable robust relative quantitation of attributes with high sensitivity and minimal in-source fragmentation. A combination of a built-in one-point mass calibration procedure prior to data acquisition and Scan-to-Scan on-the-fly mass correction allows monitoring of most peptides for at least 54 days with sub-1 ppm mass accuracies at high-resolution (180,000 at m/z 200). This enables the use of <3 ppm mass tolerances for peptide monitoring, supporting high method specificity and robustness. LC-MS based MAM data from this instrument compares well to data collected by earlier MAM systems and conventional HPLC profile-based drug substance release assays.

Primena TOPSIS metode za izbor merodavnog eVTOL vazduhoplova

In this research, we employed the multi-attribute method TOPSIS to evaluate and compare the parameters of 53 Vectored Thrust eVTOL aircraft. The analysis encompassed three separate TOPSIS computations, each of them utilizing distinct approach to evaluate the weight coefficients of the comparison criteria (criteria preference determined by one subjective and two objective methods). The three computations yield the results as a measure of the relative closeness to the positive ideal solutions for all alternatives, allowing for the ranking of the alternatives from the closest to the farthest. The final ranking was determined from the average values of the computation results. The analysis revealed that, across all computations, only five eVTOL aircraft achieved scores exceeding 0.5, while in the final ranking, seven eVTOLs had average scores greater than 0.5. Conversely, all remaining eVTOLs achieved scores closer to the negative ideal solution (lower than 0.5), with as many as 18 of them failing to attain an average result greater than 0.2. The results of the analysis offer a comprehensive overview of the observed eVTOL projects, indicating which ones stand out based on the specified criteria.

The Development of a Novel Aflibercept Formulation for Ocular Delivery

Aflibercept is a recombinant fusion protein that is commercially available for several ocular diseases impacting millions of people worldwide. Here, we use a case study approach to examine alternative liquid formulations for aflibercept for ocular delivery, utilizing different stabilizers, buffering agents, and surfactants with the goal of improving the thermostability to allow for limited storage outside the cold chain. The formulations were developed by studying the effects of pH changes, substituting amino acids for sucrose and salt, and using polysorbate 80 or poloxamer 188 instead of polysorbate 20. A formulation containing acetate, proline, and poloxamer 188 had lower rates of aggregate formation at 4, 30, and 40°C when compared to the marketed commercial formulation containing phosphate, sucrose, sodium chloride, and polysorbate 20. Further studies examining subvisible particles after exposure to a transport stress and long-term stability at 4°C, post-translational modifications by multi-attribute method, purity by reduced and non-reduced capillary electrophoresis, and potency by cell proliferation also demonstrated a comparable or improved stability for the enhanced formulation of acetate, proline, and poloxamer 188. This enhanced stability could enable limited storage outside of the cold chain, allowing for easier distribution in low to middle income countries.

Multi-Attribute Method (MAM) Analytical Workflow for Biotherapeutic Protein Characterization from Process Development to QC.

The multi-attribute method (MAM) has emerged significantly in recent years to support biotherapeutic protein characterization from process development to the QC environment. MAM is a liquid chromatography mass spectrometry (LC-MS) based peptide mapping approach, which combines the benefits from liquid chromatography coupled to high resolution accurate mass mass spectrometry (LC-HRAM MS), enabling direct assessment of protein sequence and product quality attributes with site specificity. These product quality attributes may impact efficacy, safety, stability, and process robustness. MAM is intended to replace conventional analytical approaches as it offers a more streamlined strategy for parallel monitoring of multiple attributes in a single analysis with high sensitivity and confidence, and ultimately supports more robust Quality by Design (QbD) approaches and faster decision cycles for biotherapeutic development. MAM consists of three main stages. The first stage is sample digestion, which typically entails proteolytic digestion of the protein. The second stage is reversed-phase chromatographic separation of the generated peptides and detection by HRAM MS in two phases. During MAM Phase I (discovery phase), data-dependent acquisition (DDA) MS/MS is performed to enable confident identification of peaks and development of a peptide workbook. During MAM Phase II (monitoring phase), full MS acquisition is only carried out for the monitoring of predefined product quality attributes (PQAs). The third stage is data processing, which entails analysis and reporting for each of the two phases including evaluation of sequence coverage, assessment of PQAs and peptide workbook creation during phase I, and targeted monitoring of predefined product attributes and new peak detection (NPD) during phase II. The latter is a comparative analysis that uses a base peak alignment algorithm to determine any non-monitored differences between the LC-MS chromatograms of a test sample and a reference standard. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: In-solution sample digestion Alternate Protocol: Automated sample digestion Basic Protocol 2: Reversed-phase chromatographic separation and detection by HRAM-MS (RPLC-HRAM MS) Basic Protocol 3: Data processing and reporting.

Characterization of Adeno-Associated Virus (AAV) Gene Therapy Products

Enumerable types of gene therapies are collectively one of the fastest-growing areas of biopharmaceutical products today. Gene therapies are generally defined as treatments, perhaps even cures, for diseases through the transfer of genetic material to host cells. The analytical technologies that exist to characterize these novel therapies are rapidly advancing. In this column, we will briefly present some of the basic concepts related to this novel product class, specifically related to formulation and delivery, focusing on adeno-associated virus (AAV) formulations. We will then briefly discuss the analytical technologies and approaches most commonly used to characterize these products, specifically on the characterization of AAV-related products. We will briefly discuss what many consider the gold standard in analytical tools, analytical ultracentrifugation (AUC), and then specifically discuss liquid chromatography-mass spectrometry (LC–MS) tools and methods (such as the multi-attribute method, MAM) that are becoming more commonly used in characterization.

Evaluation of Consumer Attitudes: Attributes of Langsa Hutan Lindung Park Tourism Services

Attitude is a combination of motivation, emotion, and perception of an aspect of an individual's life. Consumer attitude is an emotional expression of consumers that shows whether consumers like an object or not so that attitudes can describe the level of consumer confidence in products or services. Consumer attitudes on tourism service attributes describe what priority attributes are taken into consideration in choosing and visiting tourist sites. The purpose of this study is to analyze consumer attitudes towards the Langsa hutan lindung park tourism services. This research is a quantitative descriptive using Fishbein's multi-attribute method. Fishbein's Multiattribute Model can measure consumer attitudes using three components: the level of importance, trust, and attitude evaluation. There are one hundred tourists who are visiting and selected using accidental sampling. The results of this study indicate that research respondents have a positive attitude towards all fourteen attributes of protected forest tourism marketing services, and two of them are very positive about two attributes: the level of crime rate and the spacious parking lots.

Multicriteria Model for Measuring the Potential of Cultural Identity in the Tourism Development of Sincelejo, Colombia

The purpose of this article is to present a multi-criteria model designed to evaluate the potential of Sincelejo’s cultural identity in tourism development. A descriptive quantitative methodology was used, which included a survey of 211 participants. A decision support method was applied using the weighted additive sum approach and following the multi-attribute method. From the information gathered, the elements of cultural identity shared by most of the criteria were identified, highlighting the gastronomic, social, and cultural traditions and customs of the region, the results of which allowed a composite indicator to be designed to evaluate the tourism potential of cultural identity in the area. This indicator takes into account the idea that the authenticity and cultural uniqueness of a city or region can be a key factor in attracting tourists and providing them with enriching and memorable experiences, promoting the preservation of cultural heritage, environmental protection, and improvement in the quality of life of residents in the search for sustainable tourism development.

Addressing Acid-Catalyzed Deamidation and the Solubility of Hydrophobic Peptides in Multi-Attribute Method Workflows.

Recently, we introduced an optimized and automated Multi-Attribute Method (MAM) workflow, which (a) significantly reduces the number of missed cleavages using an automated two-step digestion procedure and (b) dramatically reduces chromatographic peak tailing and carryover of hydrophobic peptides by implementing less retentive reversed-phase column chemistries. Here, further insights are provided on the impact of postdigest acidification and the importance of maintaining hydrophobic peptides in solution using strong chaotropic agents after digestion. We demonstrate how oxidation can significantly increase the solubility of hydrophobic peptides, a fact that can have a profound impact on quantitation of oxidation levels if care is not taken in MAM workflows. We conclude that (a) postdigestion acidification can result in significant acid-catalyzed deamidation during storage in an autosampler at 5 °C and (b) a strong chaotropic agent, such as guanidine hydrochloride, is critical for preventing loss of hydrophobic peptides through adsorption, which can result in (sometimes extreme) biases in quantitation of tryptophan oxidation levels. An optimized method is presented, which effectively addressed acid-catalyzed deamidation and solubility of hydrophobic peptides in MAM workflows.

Compliance and regulatory considerations for the implementation of the multi-attribute-method by mass spectrometry in a quality control laboratory

Multi-attribute methods employing mass spectrometry are applied throughout the biopharmaceutical industry for product and process characterization purposes but are not yet widely accepted as a method for batch release and stability testing under the good manufacturing practice (GMP) regime, due to limited experience and level of comfort with the technical, compliance and regulatory aspects of its implementation at quality control (QC) laboratories. This article is the second part of a two-tiered publication aiming at providing guidance for implementation of the multi-attribute method by peptide mapping liquid chromatography mass spectrometry (MAM) in a QC laboratory. The first part [1] focuses on technical considerations, while this second part provides considerations related to GMP compliance and regulatory aspects. This publication has been prepared by a group of industry experts representing 14 globally acting major biotechnology companies under the umbrella of the European Federation of Pharmaceutical Industries and Associations (EFPIA) Manufacturing & Quality Expert Group (MQEG).

Method validation and new peak detection for the liquid chromatography-mass spectrometry multi-attribute method

The multi-attribute method (MAM) is a liquid chromatography-mass spectrometry (LC-MS) peptide mapping technique that has been proposed as a replacement for several conventional quality control (QC) methods for therapeutic proteins. In addition to quantification of multiple product quality attributes (PQAs), MAM can also monitor impurities using a new peak detection (NPD) feature. Here, results are provided from method validation and NPD studies of an MAM approach applied to rituximab as a model monoclonal antibody (mAb). Twenty-one rituximab PQAs were monitored, including oxidation, pyroglutamination, deamidation, lysine clipping, and glycosylation. The PQA monitoring aspect of the method was validated according to ICH Guidance. Accuracy, precision, specificity, detection and quantitation limits, linearity, range, and robustness were demonstrated for this MAM approach with minimal issues. All PQAs were successfully validated except for several oxidation sites, which did not pass intermediate precision criteria. The variability found in oxidation measurements was attributed to artificial oxidation during sample preparation and could likely be alleviated through several approaches. The NPD aspect of the method was also evaluated. A spike-in approach was used to assess the limits of detection and quantitation (LOD/LOQ) of the NPD feature of MAM. For NPD, the peak intensity threshold was found to be the most critical parameter for accurate detection of impurities since a low threshold can result in false positives while a high threshold can obscure the detection of true peaks. Overall, the MAM approach presented and validated here has been demonstrated to be suitable for both targeted monitoring of rituximab PQAs and non-targeted detection of new peaks that represent impurities.

Technical considerations for the implementation of the multi-attribute-method by mass spectrometry in a quality control laboratory

Multi-attribute methods employing mass spectrometry are applied throughout the biopharmaceutical industry for product and process characterization purposes but are not yet widely accepted as a method for batch release and stability testing under good manufacturing practice (GMP) due to limited experience and level of comfort with the technical, compliance and regulatory aspects of its implementation at quality control (QC) laboratories. Here, current literature related to the development and application of the multi-attribute method by peptide mapping liquid chromatography mass spectrometry (MAM) is compiled with the aim of providing guidance for the implementation of MAM in a QC laboratory. This article, focusing on technical considerations, is the first part of a two-tiered publication, whereby the second part will focus on GMP compliance and regulatory aspects. This publication has been prepared by a group of industry experts representing 14 globally acting major biotechnology companies under the umbrella of the European Federation of Pharmaceutical Industries and Associations (EFPIA) Manufacturing & Quality Expert Group (MQEG).