CuC(O) Interfaces Deliver Remarkable Selectivity and Stability for CO2 Reduction to C2+ Products at Industrial Current Density of 500 mA cm-2.

The electrocatalytic CO2 reduction reaction (CO2 RR) is an attractive technology for CO2 valorization and high-density electrical energy storage. Achieving a high selectivity to C2+ products, especially ethylene, during CO2 RR at high current densities (>500 mA cm-2 ) is a prized goal of current research, though remains technically very challenging. Herein, it is demonstrated that the surface and interfacial structures of Cu catalysts, and the solid-gas-liquid interfaces on gas-diffusion electrode (GDE) in CO2 reduction flow cells can be modulated to allow efficient CO2 RR to C2+ products. This approach uses the in situ electrochemical reduction of a CuO nanosheet/graphene oxide dots (CuOC(O)) hybrid. Owing to abundant CuOC interfaces in the CuOC(O) hybrid, the CuO nanosheets are topologically and selectively transformed into metallic Cu nanosheets exposing Cu(100) facets, Cu(110) facets, Cu[n(100) × (110)] step sites, and Cu+ /Cu0 interfaces during the electroreduction step, the faradaic efficiencie (FE) to C2+ hydrocarbons was reached as high as 77.4% (FEethylene  ≈ 60%) at 500 mA cm-2 . In situ infrared spectroscopy and DFT simulations demonstrate that abundant Cu+ species and Cu0 /Cu+ interfaces in the reduced CuOC(O) catalyst improve the adsorption and surface coverage of *CO on the Cu catalyst, thus facilitating CC coupling reactions.

Intermolecular Dearomative 1,2-Amination/Carbonylation via Nucleophilic Addition of Simple Amines to Arene π-Bonds.

The incorporation of the privileged amino functionality is of paramount importance in organic synthesis. In contrast to the well-developed amination methods for alkenes, the dearomative amination of arenes is largely underexplored due to the inherently inert reactivity of arene π-bonds and selectivity challenges. Herein, we report an intermolecular dearomative aminofunctionalization via direct nucleophilic addition of simple amines to chromium-bound arenes. This multicomponent 1,2-amination/carbonylation reaction enables rapid access to complicated alicyclic compounds containing amino and amide functionalities from benzene derivatives under CO-gas-free conditions, which also represents the first application of nitrogen-based nucleophiles in η6 -coordination-induced arene dearomatizations.

Mechanistic insights into inter-chain disulfide bond reduction of IgG1 and IgG4 antibodies.

Therapeutic monoclonal antibodies (mAbs), primarily immunoglobin G1 (IgG1) and IgG4 with an engineered CPPC motif in its hinge region, are predominant biologics. Inter-chain disulfide bonds of IgG mAbs are crucial to maintaining IgG integrity. Inter-chain disulfide bond-reduced low molecular weight (LMW) is considered as one of quality attributes of IgG drug substance and is observed in drug substance manufacturing. In this study, we demonstrate that IgG1 and IgG4 are susceptible to the reducing agent TCEP differently and they follow different pathways to form LMWs. Our study shows that IgG1 is more sensitive to TCEP than IgG4. Both therapeutic IgG1 and human blood plasma IgG1 follow a heavy-heavy-light chain (HHL) pathway, featured with HHL and HH as intermediate species. Human blood plasma IgG4 with a CPSC motif in its hinge region follows heavy-light chain (HL) pathway, featured with HL as the intermediate species. However, therapeutic IgG4 follows a hybrid pathway with the HL pathway as the primary and the HHL pathway as the secondary. These experimental observations are further explained using solvent accessibility of inter-chain disulfide bonds obtained from computational modeling and molecular dynamics simulations. Findings from this study provide mechanistic insights of LMW formation of IgG1 and IgG4, which suggest selection of IgG1 or IgG4 for bispecific antibodies and cysteine-based antibody-drug conjugates. KEY POINTS: • Experimentally discovered preferable disulfide bond reduction pathways between IgG1 and IgG4 antibodies, driven by the different solvent accessibilities of these disulfide bonds. • Computationally explained the solvent accessibility aided by molecular dynamics simulations. • Provided insights in developing robust biologics process and designing bispecific antibodies and cysteine-based antibody-drug conjugates.

The Sea Route Planning for Survey Vessel Intelligently Navigating to the Survey Lines.

Marine surveying is an important part of marine environment monitoring systems. In order to improve the accuracy of marine surveying and reduce investment in artificial stations, it is necessary to use high-precision GNSS for shipborne navigation measurements. The basic measurement is based on the survey lines that are already planned by surveyors. In response to the needs of survey vessels sailing to the survey line, a method framework for the shortest route planning is proposed. Then an intelligent navigation system for survey vessels is established, which can be applied to online navigation of survey vessels. The essence of the framework is that the vessel can travel along the shortest route to the designated survey line under the limitation of its own minimum turning radius. Comparison and analysis of experiments show that the framework achieves better optimization. The experimental results show that our proposed method can enable the vessel to sail along a shorter path and reach the starting point of the survey line at the specified angle.

Online monitoring and control of upstream cell culture process using 1D and 2D-LC with SegFlow interface.

The biopharmaceutical industry is transitioning from currently deployed batch-mode bioprocessing to a highly efficient and agile next-generation bioprocessing with the adaptation of continuous bioprocessing, which reduces capital investment and operational costs. Continuous bioprocessing, aligned with FDA's quality-by-design platform, is designed to develop robust processes to deliver safe and effective drugs. With the deployment of knowledge-based operations, product quality can be built into the process to achieve desired critical quality attributes (CQAs) with reduced variability. To facilitate next-generation continuous bioprocessing, it is essential to embrace a fundamental shift-in-paradigm from "quality-by-testing" to "quality-by-design," which requires the deployment of process analytical technologies (PAT). With the adaptation of PAT, a systematic approach of process and product understanding and timely process control are feasible. Deployment of PAT tools for real-time monitoring of CQAs and feedback control is critical for continuous bioprocessing. Given the current deficiency in PAT tools to support continuous bioprocessing, we have integrated Infinity 2D-LC with a post-flow-splitter in conjunction with the SegFlow autosampler to the bioreactors. With this integrated system, we have established a platform for online measurements of titer and CQAs of monoclonal antibodies as well as amino acid analysis of bioreactor cell culture.

A novel approach enables imaged capillary isoelectric focusing analysis of PEGylated proteins.

PEGylation has been used as a strategy to enhance pharmacokinetic properties of therapeutic proteins by pharmaceutical industry. Imaged CIEF (iCIEF) is the current industry standard technology for pI determination and charge variant quantification of proteins and antibodies. However, the charge variants of PEGylated proteins merge into one broad peak during iCIEF, most likely due to masking of proteins by the surrounding PEG chain as well as the increased hydrodynamic volume due to PEGylation. Here, we report our novel matrix formula with a combination of glycine and taurine that significantly improved the separation of charge variants in PEGylated proteins. As a result, it is no longer necessary to conduct IEF of proteins prior to PEGylation, which does not reflect the changes caused by PEGylation and purification processes. The novel matrix (glycine and taurine) enables iCIEF analysis of PEGylated proteins in their real conjugated states.

Online/at-line measurement, analysis and control of product titer and critical product quality attributes (CQAs) during process development.

Process analytical technology (PAT) has been defined by the Food and Drug Administration as a system for designing, analyzing, and controlling manufacturing through timely measurements to ensure final product quality. Based on quality-by-design (QbD) principles, real-time or near-real-time data monitoring is essential for timely control of critical quality attributes (CQAs) to keep the process in a state of control. To facilitate next-generation continuous bioprocessing, deployment of PAT tools for real-time monitoring is integral for process understanding and control. Real-time monitoring and control of CQAs are essential to keep the process within the design space and align with the guiding principles of QbD. The contents of this manuscript are pertinent to the online/at-line monitoring of upstream titer and downstream product quality with timely process control. We demonstrated that an ultra-performance liquid chromatography (UPLC) system interfaced with a UPLC-process sample manager (UPLC-PSM) can be utilized to measure titer and CQAs directly from bioreactors and downstream unit operations, respectively. We established online titer measurements from fed-batch and perfusion-based alternating tangential flow bioreactors as well as product quality assessments of downstream operations for real-time peak collection. This integrated, fully automated system for online data monitoring with feedback control is designed to achieve desired product quality.

Virus clearance validation across continuous capture chromatography.

Multicolumn capture chromatography is gaining increased attention lately due to the significant economic and process advantages it offers compared with traditional batch mode chromatography. However, for wide adoption of this technology in clinical and commercial space, it requires scalable models for executing viral validation studies. In this study, viral validation studies were conducted under cGLP guidelines to assess retro- (X-MuLV) and parvo-virus (MVM) clearance across twin-column continuous capture chromatography (CaptureSMB). A surrogate model was also developed using standard batch mode chromatography based on flow path modifications to mimic the loading strategy used in CaptureSMB. The results show that a steady state was achieved by the second cycle for both antibody binding and virus clearance and that the surrogate model using batch mode chromatography equipment provided impurity clearance that was comparable to that obtained during cyclical operation of CaptureSMB. Further, the log reduction values (LRVs) achieved during CaptureSMB were also comparable to the LRVs obtained using standard batch capture chromatography. This was expected since the mode of virus separation during protein A chromatography is primarily based on removal during the flow through and wash steps. Finally, this study also presents assessments on the resin cleaning strategy during continuous chromatography and how the duration of clean-in-place solution exposure impacts virus carryover.

Host Cell Protein Profiling by Targeted and Untargeted Analysis of Data Independent Acquisition Mass Spectrometry Data with Parallel Reaction Monitoring Verification.

Host cell proteins (HCPs) are process-related impurities of biopharmaceuticals that remain at trace levels despite multiple stages of downstream purification. Currently, there is interest in implementing LC-MS in biopharmaceutical HCP profiling alongside conventional ELISA, because individual species can be identified and quantitated. Conventional data dependent LC-MS is hampered by the low concentration of HCP-derived peptides, which are 5-6 orders of magnitude less abundant than the biopharmaceutical-derived peptides. In this paper, we present a novel data independent acquisition (DIA)-MS workflow to identify HCP peptides using automatically combined targeted and untargeted data processing, followed by verification and quantitation using parallel reaction monitoring (PRM). Untargeted data processing with DIA-Umpire provided a means of identifying HCPs not represented in the assay library used for targeted, peptide-centric, data analysis. An IgG1 monoclonal antibody (mAb) purified by Protein A column elution, cation exchange chromatography, and ultrafiltration was analyzed using the workflow with 1D-LC. Five protein standards added at 0.5 to 100 ppm concentrations were detected in the background of the purified mAb, demonstrating sensitivity to low ppm levels. A calibration curve was constructed on the basis of the summed peak areas of the three highest intensity fragment ions from the highest intensity peptide of each protein standard. Sixteen HCPs were identified and quantitated on the basis of the calibration curve over the range of low ppm to over 100 ppm in the purified mAb sample. The developed approach achieves rapid HCP profiling using 1D-LC and specific identification exploiting the high mass accuracy and resolution of the mass spectrometer.

Imaged capillary isoelectric focusing in native condition: A novel and successful example.

Imaged capillary isoelectric focusing (icIEF) separates ampholytic components of biomolecules in an electric field according to their isoelectric points and has been used for protein charge variants quantification and characterization. Denaturants are ordinarily incorporated into icIEF to stabilize charge species in solution. In certain circumstances, however, denaturants are detrimental to stable isoelectric separation of proteins due to their unique structural and biophysical features, such as an aggregation-prone antibody we encountered recently. Here we report our novel matrix formula non-detergent sulfobetaine and taurine (NDSB-T). It is deprived of denaturants that notably ameliorates the assay robustness and peak resolution for this antibody. NDSB-T is a combination of non-detergent sulfobetaine (NDSB) and taurine possessing the stabilization and separation power while maintaining protein integrity. As a result, assay throughputs are tremendously increased for more than 10 folds along with extraordinarily improved assay accuracy. Furthermore, NDSB-T can separate and quantify protein charge species in native state and therefore avoid partial denaturation derived peaks which are often misleading and hard to characterize. NDSB-T may be a valuable tool for proteins incompatible with conventional icIEF matrices and potentially opens a new window for icIEF assay in native conditions.

A novel reagent significantly improved assay robustness in imaged capillary isoelectric focusing.

Imaged Capillary Isoelectric Focusing (icIEF) has been used as primary method for charge variants analysis of therapeutic antibodies and proteins [1], [9]. Proteins tend to precipitate around their pI values during focusing [14], which directly affects the reproducibility of their charge profiles. Protein concentration, focusing time and various supplementing additives are key parameters to minimize the protein precipitation and aggregation. Urea and sucrose are common additives to reduce protein aggregation, solubilize proteins in sample matrix and therefore improve assay repeatability [15]. However some proteins and antibodies are exceptions, we found urea and sucrose are not sufficient for a typical fusion protein (Fusion protein A) in icIEF assay and high variability is observed. We report a novel reagent, formamide, significantly improved reproducibility of protein charge profiles. Our results show formamide is a good supplementary reagent to reduce aggregation and stabilize proteins in isoelectric focusing. We further confirmed the method robustness, linearity, accuracy and precision after introducing the new reagent; extremely tight pI values, significantly improved method precision and sample on-board stability are achieved by formamide. Formamide is also proven to be equally functional to multiple antibodies as urea, which makes it an extra tool in icIEF method development.

Investigation of Color in a Fusion Protein Using Advanced Analytical Techniques: Delineating Contributions from Oxidation Products and Process Related Impurities.

PURPOSE: Discoloration of protein therapeutics has drawn increased attention recently due to concerns of potential impact on quality and safety. Investigation of discoloration in protein therapeutics for comparability is particularly challenging primarily for two reasons. First, the description of color or discoloration is to certain extent a subjective characteristic rather than a quantitative attribute. Secondly, the species contributing to discoloration may arise from multiple sources and are typically present at trace levels. Our purpose is to development a systematic approach that allows effective identification of the color generating species in protein therapeutics. METHODS: A yellow-brown discoloration event observed in a therapeutic protein was investigated by optical spectroscopy, ultra-performance liquid chromatography, and mass spectrometry (MS). RESULTS: Majority of the color generating species were identified as oxidatively modified protein. The location of the oxidized amino acid residues were identified by MS/MS. In addition, the impact of process-related impurities co-purified from media on discoloration was also investigated. Finally a semi-quantitative scale to estimate the contribution of each color source is presented, which revealed oxidized peptides are the major contributors. CONCLUSIONS: A systematic approach was developed for identification of the color generating species in protein therapeutics and for estimation of the contribution of each color source.

Development of robust antibody purification by optimizing protein-A chromatography in combination with precipitation methodologies.

To be administered to patients, therapeutic monoclonal antibodies must have very high purity, with process related impurities like host-cell proteins (HCPs) and DNA reduced to <100 ppm and <10 ppb, respectively, relative to desired product. Traditionally, Protein-A chromatography as a capture step has been the work horse for clearing a large proportion of these impurities. However, remaining levels of process and product related impurities still present significant challenges on the development of polishing steps further downstream. In this study, we have incorporated high throughput screening to evaluate three areas of separation: (i) Harvest treatment; (ii) Protein-A Chromatography; and (iii) Low pH Viral Inactivation. Precipitation with low pH treatment of cell culture harvest resulted in selective removal of impurities while manipulating the pH of wash buffers used in Protein-A chromatography and incorporating wash additives that disrupt various modes of protein-protein interaction resulted in further and more pronounced reduction in impurity levels. In addition, our study also demonstrate that optimizing the neutralization pH post Protein-A elution can result in selective removal of impurities. When applied over multiple mAbs, this optimization method proved to be very robust and the strategy provides a new and improved purification process that reduces process related impurities like HCPs and DNA to drug substance specifications with just one chromatography column and open avenues for significant decrease in operating costs in monoclonal antibody purification.

Affinity precipitation of a monoclonal antibody from an industrial harvest feedstock using an ELP-Z stimuli responsive biopolymer.

In this work, a proof of concept elastin-like polypeptide-Z domain fusion (ELP-Z) based affinity precipitation process is developed for monoclonal antibody (mAb) purification from industrial harvest feeds. Greater than 99% mAb recoveries are obtained during the initial binding step of the process for both pure mAb and the mAb harvest feeds. Great than 90% overall mAb yields are also obtained for the subsequent elution step of the process with no measurable mAb aggregation. The process is shown to result in more than 2 logs of host cell protein (HCP) and more than 4 logs of DNA clearance from the harvest feed. While the overall mAb yield and HCP clearance for the affinity precipitation process was comparable to Protein A chromatography the DNA clearance was clearly superior. Performance is maintained for mAb final elution concentrations up to 20 g/L, demonstrating the ability of the process to both concentrate and purify the mAb. Effective ELP-Z regeneration is also demonstrated using 0.1 M NaOH with no adverse effect on subsequent capture efficiency. Finally, the reusability of the ELP-Z construct and robustness of the process is demonstrated for up to three purification-regeneration cycles with minimal product and impurity carryover and high yields and purity. This work demonstrates that the ELP-Z based precipitation approach can be successfully employed as an affinity capture step for industrial mAbs.

An Information-Assisted Deep Reinforcement Learning Path Planning Scheme for Dynamic and Unknown Underwater Environment.

An autonomous underwater vehicle (AUV) has shown impressive potential and promising exploitation prospects in numerous marine missions. Among its various applications, the most essential prerequisite is path planning. Although considerable endeavors have been made, there are several limitations. A complete and realistic ocean simulation environment is critically needed. As most of the existing methods are based on mathematical models, they suffer from a large gap with reality. At the same time, the dynamic and unknown environment places high demands on robustness and generalization. In order to overcome these limitations, we propose an information-assisted reinforcement learning path planning scheme. First, it performs numerical modeling based on real ocean current observations to establish a complete simulation environment with the grid method, including 3-D terrain, dynamic currents, local information, and so on. Next, we propose an information compression (IC) scheme to trim the mutual information (MI) between reinforcement learning neural network layers to improve generalization. A proof based on information theory provides solid support for this. Moreover, for the dynamic characteristics of the marine environment, we elaborately design a confidence evaluator (CE), which evaluates the correlation between two adjacent frames of ocean currents to provide confidence for the action. The performance of our method has been evaluated and proven by numerical results, which demonstrate a fair sensitivity to ocean currents and high robustness and generalization to cope with the dynamic and unknown underwater environment.

Characterization of N-Terminal Asparagine Deamidation and Clipping of a Monoclonal Antibody.

This study presents a novel degradation pathway of a human immunoglobulin G (IgG) molecule featuring a light chain N-terminal asparagine. We thoroughly characterize this pathway and investigate its charge profiles using cation exchange chromatography (CEX) and capillary isoelectric focusing (cIEF). Beyond the well-documented asparagine deamidation into isoaspartic acid, aspartic acid, and succinimide intermediate, a previously unreported clipping degradation pathway is uncovered. This newly identified clipped N-terminal IgG variant exhibits a delayed elution in CEX, categorized as a "basic variant", while retaining the same main peak isoelectric point (pI) in cIEF. The influence of temperature and pH on N-terminal asparagine stability is assessed across various stressed conditions. A notable correlation between deamidation percentage and clipped products is established, suggesting a potential hydrolytic chemical reaction underlying the clipping process. Furthermore, the impact of N-terminal asparagine modifications on potency is evaluated through ELISA binding assays, revealing minimal effects on binding affinity. Sequence alignment reveals homology to a human IgG with the germline gene from Immunoglobulin Lambda Variable 6-57 (IGLV6-57), which has implications for amyloid light-chain (AL) amyloidosis. This discovery of the N-terminal clipping degradation pathway contributes to our understanding of immunoglobulin light chain misfolding and amyloid fibril deposition under physiological conditions.

CeO2/Cu2O/Cu Tandem Interfaces for Efficient Water-Gas Shift Reaction Catalysis.

Metal-oxide interfaces on Cu-based catalysts play very important roles in the low-temperature water-gas shift reaction (LT-WGSR). However, developing catalysts with abundant, active, and robust Cu-metal oxide interfaces under LT-WGSR conditions remains challenging. Herein, we report the successful development of an inverse copper-ceria catalyst (Cu@CeO2), which exhibited very high efficiency for the LT-WGSR. At a reaction temperature of 250 °C, the LT-WGSR activity of the Cu@CeO2 catalyst was about three times higher than that of a pristine Cu catalyst without CeO2. Comprehensive quasi-in situ structural characterizations indicated that the Cu@CeO2 catalyst was rich in CeO2/Cu2O/Cu tandem interfaces. Reaction kinetics studies and density functional theory (DFT) calculations revealed that the Cu+/Cu0 interfaces were the active sites for the LT-WGSR, while adjacent CeO2 nanoparticles play a key role in activating H2O and stabilizing the Cu+/Cu0 interfaces. Our study highlights the role of the CeO2/Cu2O/Cu tandem interface in regulating catalyst activity and stability, thus contributing to the development of improved Cu-based catalysts for the LT-WGSR.

Atomic-Interface Effect of Single-Atom Ru/CoOx for Selective Electrooxidation of 5-Hydroxymethylfurfural.

The development of single-atom catalysts with effective interfaces for biomass conversion is a promising but challenging research area. In this study, a Ru1/CoOx catalyst was successfully fabricated with the impregnation method, which featured Ru single atoms on a cobalt oxide substrate. The Ru1/CoOx catalyst showed superior performance in the selective electrooxidation of 5-hydroxymethylfurfural (HMF) to produce 2,5-furandicarboxylic acid (FDCA), a high value-added product. The introduction of Ru single atoms with an ultralow loading of ∼0.5 wt % was revealed to accelerate the electroredox of Co2+/Co3+/Co4+ and improve the intrinsic activity of the CoOx substrate with an FDCA selectivity of 76.5%, which is better than that of the pristine CoOx electrocatalysts (62.7%). The interfacial synergistic effect of the Ru1/CoOx interface clarified that Ru single atoms can enhance the adsorption of HMF at the Ru1/CoOx interface, which promoted the rate-determining step of the selective C-H bond activation for FDCA production. This finding provides valuable insights into the rational design of single-atom catalysts with functional interfaces for biomass upgrading.

Recent advancements in mass spectrometry for higher order structure characterization of protein therapeutics.

Molecular characterization of higher order structure (HOS) in protein therapeutics is crucial to the selection of candidate molecules, understanding of structure-function relationships, formulation development, stability assessment, and comparability studies. Recent advances in mass spectrometry (MS), including native MS, hydrogen/deuterium exchange (HDX)-MS, and fast photochemical oxidation of proteins (FPOP) coupled with MS, have provided orthogonal ways to characterize HOS of protein therapeutics. In this review, we present the utility of native MS, HDX-MS and FPOP-MS in protein therapeutics discovery and development, with a focus on epitope mapping, aggregation assessment, and comparability studies. We also discuss future trends in the application of these MS methods to HOS characterization.

N-1 Perfusion Platform Development Using a Capacitance Probe for Biomanufacturing.

Fed-batch process intensification with a significantly shorter culture duration or higher titer for monoclonal antibody (mAb) production by Chinese hamster ovary (CHO) cells can be achieved by implementing perfusion operation at the N-1 stage for biomanufacturing. N-1 perfusion seed with much higher final viable cell density (VCD) than a conventional N-1 batch seed can be used to significantly increase the inoculation VCD for the subsequent fed-batch production (referred as N stage), which results in a shorter cell growth phase, higher peak VCD, or higher titer. In this report, we incorporated a process analytical technology (PAT) tool into our N-1 perfusion platform, using an in-line capacitance probe to automatically adjust the perfusion rate based on real-time VCD measurements. The capacitance measurements correlated linearly with the offline VCD at all cell densities tested (i.e., up to 130 × 106 cells/mL). Online control of the perfusion rate via the cell-specific perfusion rate (CSPR) decreased media usage by approximately 25% when compared with a platform volume-specific perfusion rate approach and did not lead to any detrimental effects on cell growth. This PAT tool was applied to six mAbs, and a platform CSPR of 0.04 nL/cell/day was selected, which enabled rapid growth and maintenance of high viabilities for four of six cell lines. In addition, small-scale capacitance data were used in the scaling-up of N-1 perfusion processes in the pilot plant and in the GMP manufacturing suite. Implementing a platform approach based on capacitance measurements to control perfusion rates led to efficient process development of perfusion N-1 for supporting high-density CHO cell cultures for the fed-batch process intensification.