Digital Commons Network^™

Metabolomics Of Per- And Polyfluoroalkyl Substances (Pfas) Exposure: Advances In Lc-Ms Technology And Applications, Yu-Meng Wang, Pei-Chen Lin, Yu-Da Zheng, Pin-Shiuan Wu, Kuo-Tai Hua, Sung-Fang Chen

Journal of Food and Drug Analysis

Per- and polyfluoroalkyl substances (PFAS) are a class of synthetic chemicals known for their high stability and bioaccumulation potential, leading to their widespread presence in the environment and human tissues. Exposure to PFAS has been associated with significant health concerns, including neurotoxicity, hepatotoxicity, and metabolic disturbances. Liquid chromatography–mass spectrometry (LC-MS) based metabolomics has emerged as a powerful and central tool for PFAS research, enabling the comprehensive analysis of metabolic changes induced by exposure. This review provides a critical summary of the applications of LC-MS metabolomics in both clinical studies and various experimental models, including in vivo models (mice) and in …

Ψ-Theory: Living Core. Ontological Development And Formalization. Comments 1–21, Valerii Y. Vorobiev

Defensive Publications Series

This document compiles comments 1–21, which chronologically develop and formalize Ψ-Theory — an ontological framework where time (Ψ-field) is the primary metric of reality, and gravity, mass, and quantum phenomena emerge from its dynamics. It addresses the crises of modern cosmology (dark matter, dark energy, Hubble tension) and quantum mechanics (measurement, non-locality) by replacing ad-hoc entities with a single causal principle. The comments include testable predictions (BH shadow shift, underground chronometry, Tully-Fisher derivation) and propose a phase diagram of reality from (4,2) to (0,-2).

The Utilization Of Static And Dynamic Virtual Simulation Holographic Structures For The Creation Of Static And Dynamic Virtual Holographic Structure-Based Learning And Creation Spaces Where Biological Body Structures And Physical Real-World Structures Can Be Inserted Into The Virtual Simulation Holographic Structure-Based Learning And Creation Spaces., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a system and method for the utilization of static and dynamic virtual simulation holographic structures for the creation of static and dynamic virtual holographic structure-based learning and creation spaces where biological body structures and physical real-world structures can be inserted into the virtual simulation holographic structure-based learning and creation spaces. The system and the method utilized will incorporate virtual simulation procedures that will be required to be perceived virtually by the user or the users of the system and the method. And in order to experience the virtually perceived simulations that involve static and dynamic virtual simulation …

Enhanced Intrusion Detection Using Recurrent Neural Networks With Amino Acid Codon Features, Omar Fitian Rashid, Mohammed Ahmed Subhi, Safa Ahmed Abdulsahib, Mohammed Khaleel Hussein, Marwan Ali Albahar

Iraqi Journal for Computer Science and Mathematics

Intrusion Detection Systems (IDS) is the main defense mechanism deployed by the current networks to prevent cyber threats. Recurrent Neural Network (RNN) are also a novel IDS structure that replaces the conventional training and testing mechanism. The strategy encodes network traffic data as biological sequences using amino acid codons in such a fashion that the RNN is capable of effectively analyzing temporal and sequence data patterns. RNN architecture design adopts embedding layers to handle codon representations and Long Short-Term Memory (LSTM) layers to perform sequential data learning, which is followed by a fully connected network to perform classification functions, which …

Explainable Ai In Agriculture: Bridging The Gap Between Technology And Farmer, Jayarekha P, Anitha H M, Sowmya K S, Nalina V, Audithan Sivaraman, Madhu Narasimha

Iraqi Journal for Computer Science and Mathematics

An intelligent and explainable, as well as user-friendly, crop recommendation and yield prediction system is developed to facilitate agricultural decision-making under various tillage methods with the help of Explainable AI. The system utilizes Machine Learning algorithms and calculates yield changes as a relative term with respect to various inputs such as location, month of sowing, years of NT adoption, and soil type using real-time environmental data; accordingly, it recommends crops. The prediction framework, which is based on various regression algorithms, including Linear Regression, Decision Tree, Random Forest, and Gradient Boosting, was trained on the dataset of agronomic and climatic variables. …

Recent Advances In Sustainable Production Of Enriched Chicken Eggs: A Mini Review, Karim El-Sabrout, Ayman Abd El-Aziz

Jurnal Ilmu Ternak Universitas Padjadjaran

Enriched or “designer” chicken eggs have emerged as an important category of functional foods aimed at improving human nutrition through dietary manipulation of laying hens. This mini-review summarizes recent advances in egg enrichment strategies, focusing on omega-3 fatty acids, vitamins, minerals, and antioxidant compounds. Omega-3 enrichment remains the most widely adopted approach, achieved through supplementation with flaxseed, fish oil, or microalgae, resulting in significant increases in eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in egg yolk. Multi-nutrient enrichment, including selenium, vitamin E, and carotenoids, has also gained attention due to its potential in enhancing antioxidant capacity and health of hens …

Effect Of Recycled Water As Mixing And Curing Water, On Concrete Properties, Nagah Mousalem, Sayed Abdelbaky, Hesham Ali Ezz-Eldeen, Ahmed Abdel Hafiz Mahmoud

HBRC Journal

This research aims to study the effect of secondary treated wastewater (STWW) and tertiary treated wastewater (TTWW) in concrete mixing and curing as a complete alternative to fresh water to address the water crisis. The treated wastewater used in the study was collected from two wastewater treatment plants in Orasqualia for STWW and El Shorouk for TTWW, Egypt. Chemical analysis was performed on the collected water samples to verify their compliance with the recommendations of the relevant standards used in concrete production. Physical and mechanical tests were performed on cement paste, mortar and concrete specimens. Some durability characteristic of concrete …

Bibliometric Analysis Of Applications And Research Trends On Whole Milk In Food Science, Nautus Stivano Dalle, Juni Sumarmono

Jurnal Ilmu Ternak Universitas Padjadjaran

This study maps the scientific landscape and research trends on whole milk in food science using a bibliometric approach. Data were collected from Google Scholar via Publish or Perish 8 (2020–2025) using the keyword "whole milk," yielding 291 documents after applying inclusion criteria. Descriptive and visual analyses were performed using VOSviewer and the Bibliometrix package to identify publication trends, collaboration networks, and dominant themes through co-authorship and keyword co-occurrence analyses. Results revealed fluctuating publication patterns, peaking in 2021 (60 articles) and declining in 2025 (41 articles). Keyword mapping identified four major clusters: microbiological characterization and probiotic potential, milk bioactive and …

Prediction Of Fermentation Parameters During Solid-State Fermentation Of Lemongrass Feedstuffs Using Nirs Combined With Spectral Correction Techniques, Alis Syarmalis, Agus Arip Munawar, Indra Wahyudi, Zulfikar Amir, Samadi Samadi

Jurnal Ilmu Ternak Universitas Padjadjaran

Lignocellulosic residues such as lemongrass (Cymbopogon nardus L.) waste have strong potential to be reused as livestock feed, helping improve sustainability and reduce environmental waste. However, their high lignin and crude fiber contents limit digestibility, making pretreatment necessary. One effective approach is solid-state fermentation (SSF) using white-rot fungi to enhance nutritional quality. During SSF, pH and moisture content are key indicators of process performance, but conventional measurement methods are slow and inefficient for real-time monitoring. In this study, near-infrared spectroscopy (NIRS) combined with partial least squares regression (PLSR) was evaluated as a rapid and non-destructive method to predict pH and …

Physicochemical, Organoleptic, And Antioxidant Functional Characteristics Of Dangke Whey Protein Ice Cream Fortified With Butterfly Pea Flower Extract, Muh. Achyar Ardat, Raden Hilman Wirayudha, Ekajayanti Kining, Zakiah Wulandari, Irma Isnafia Arief

Jurnal Ilmu Ternak Universitas Padjadjaran

This study aims to develop a functional ice cream based on dangke whey pro‐ tein with the addition of butterfly pea flower extract. Four formulations were pre‐ pared by varying milk and whey proportions: P1 (100% milk), P2 (60% milk + 40% whey), P3 (40% milk + 60% whey), and P4 (100% whey), with 5% butterfly pea ex‐ tract added to each treatment. The results showed that higher whey substitution decreased pH and overrun values but prolonged the melting resistance of ice cream. Moisture content increased with whey proportion, whereas ash content remained relatively constant across treatments. Protein and fat …

Ai-Assisted Inventorship: A Problem For Inventive Conception, Rana Matared, Harut Minasian

Chicago-Kent Journal of Intellectual Property

No abstract provided.

Stephen Baenziger, Unl Agronomy & Horticulture, Breeding New Wheat Varieties, Mark Griep, P. Stephen Baenziger

UNL ORCA Interview Series

Stephen Baenziger awarded the ORCA in 2011. He was born in 1951 in Toronto, Canada. When he was an infant, his family immigrated to the U.S., where he grew up in Des Plaines, Illinois. He earned a bachelor's in biological chemistry magna cum laude from Harvard University in Cambridge, Massachusetts. Next, he earned a master's and doctorate in plant breeding and genetics at Purdue University in West Lafayette, Indiana. Over the next decade, he worked for the USDA at Beltsville Agricultural Research Center in Maryland and then at the Monsanto Corporation in St. Louis, Missouri. In 1986, he joined the …

Feasibility Evaluation Of Tumor Treating Fields For Brainstem Gliomas, Anthony Chen, Ryan Shah, William Shi, Noa Urman, Nadav Shapira, Nicholas Avgeropoulos, Patrick Conlon, Neil Mookerjee, Wenyin Shi

Department of Radiation Oncology Faculty Papers

PURPOSE: Tumor treating fields (TTFields) are FDA-approved for supratentorial glioblastoma, but feasibility in infratentorial tumors remains poorly defined. This simulation study evaluated TTFields dose in brainstem gliomas using patient-specific modeling with scalp-only transducer arrays.

METHODS: MRI and CT imaging from seven patients with brainstem gliomas were used for TTFields planning with MAXPOINT® (Novocure, Switzerland). Clinical target volume (CTV) was defined as enhancing tumor on T1 post-contrast MRI (Gross tumor volume, GTV) plus a 3 mm peritumoral expansion. The platform optimized scalp-only array layouts, and finite element calculations generated maps of local minimum field intensity (LMiFI, V/cm) and local minimum power …

Cooperative Evolution For Discovering Scalable Spiking Neural Network Architectures, Catherine C. Rodriquez

LSU Master's Theses

SNNs are a foundational model in neuromorphic computing, where efficient architectures must be discovered for a wide range of applications. Evolutionary methods, such as EONS, offer a flexible approach to this search but become increasingly difficult to scale as task complexity grows due to the rapidly expanding combined topology–parameter search space and associated memory demands. To address this challenge, we propose a co-evolutionary ensemble framework in which a population of candidate SNNs is evolved with fitness defined by each network’s marginal contribution to group performance. Grounded in cooperative game theory and difference evaluation functions from multiagent systems, this formulation provides …

How Young Mothers’ Interpersonal And Emotional Well-Being Impacts Parental Stress And Dating Violence, Jonathan Jin

Theses and Dissertations

This two-part dissertation investigated two distinct, yet interconnected aspects of young mothers’ wellbeing which span individual and interpersonal factors. Study 1 examined how adverse childhood experiences (ACEs) are related to parental stress, and how symptoms of anxiety and depression might mediate this association. Within a sample 255 young mothers with an average age of 22.2 (SD = 2.3), the pooled results of a parallel mediation model across 10 imputed datasets indicated a significant average direct effect of ACEs on parental stress (0.25, p < .01), suggesting that experiencing a history of ACEs was significantly associated with more parental stress. Study 2 examined the relationship between young mothers’ romantic attachment, emotion regulation, and dating violence (DV) victimization. In a different sample of 256 young mothers with an average age of 19.8 years (SD = 1.1), more avoidant (less secure) romantic attachment styles (β = 0.26, SE = 0.1, p < 0.01) and more anxious romantic attachment styles (linear component β = 3.81, SE = 0.9, p < 0.001 and quadratic component β = -2.86, SE = 0.9, p < 0.01) were significantly associated with greater DV victimization. Future research may extend this work by using longitudinal designs to test bidirectional links between interpersonal and emotional wellbeing factors among young mothers.

Do I Belong Here?: A Narrative Inquiry Into Ableism, Accommodation, And Professional Identity Among Medical Students With Mobiilty Disabilities, Nicole J. Albano Robinson

Theses and Dissertations

Abstract Nicole J. Robinson DO I BELONG HERE?: A NARRATIVE INQUIRY INTO ABLEISM, ACCOMMODATION, AND PROFESSIONAL IDENTITY AMONG MEDICAL STUDENTS WITH MOBILITY DISABILITIES 2025-2026 Ane Turner Johnson, Ph.D. Doctor of Education in Educational Leadership Despite federal and institutional disability policy designed to protect equitable access to education, medical students with mobility disabilities encounter systemic barriers shaped by ableism, inconsistent accommodation practices, cultural bias, and exclusionary learning environments. This qualitative study sought to describe the lived experiences of undergraduate medical students with mobility disabilities within U.S. MD and DO programs. A qualitative narrative inquiry using Kim’s (2016) two-phase life story interview …

Hybrid Lipid-Gold Nanoparticles Designed For Simultaneous Gene Therapy And Photothermal Therapy Against Cancer, Navya Sree Devaguptapu

Theses and Dissertations

Traditional cancer treatments such as chemotherapy and surgery include adverse side effects and acquire resistance. Here, I developed a novel hybrid lipid-gold nanoparticle technology (LGNP) to achieve simultaneous gene regulation and photothermal therapy, specifically targeting pediatric acute myeloid leukemia (AML) and ovarian cancer. This core material consists of slice core/gold nanoshells, which are efficient heat transducers where NIR light activates nanoshells embedded in tumors, generating localized heat for tumor ablation. The ionizable lipid coating facilitates intracellular delivery of nucleic acids, such as mRNA or siRNA, to modulate gene expression effectively. Lipid-gold hybrid nanoparticles (LGNPs) are synthesized via a controlled self-assembly …

Leveraging Oxaziridines In Transition Metal Catalysis And As Reactive Intermediates, Jenna Marie Doran

Theses and Dissertations

Oxaziridines are versatile three-membered nitrogen–oxygen heterocycles that can function both as reactive intermediates and as components of transition-metal catalysts, enabling selective and diverse organic transformations. This work explores the dual role of oxaziridines in facilitating alkene functionalization and amide synthesis. We discovered that vanadooxaziridines catalyze intermolecular allylic amination with high regio- and chemoselectivity, providing a mild route to allylic amines, whereas molybdooxaziridine complexes display an unexpected preference for vinyl sulfonation, revealing a divergent pathway from the typical nitrogen-transfer reactions and offering access to synthetically valuable sulfur-containing motifs. In parallel, oxaziridine intermediates derived from imines mediate efficient formation of amides from …

From Classroom To Cell: Examining Protective Factors Against The School-To-Prison Pipeline, Ronald Smith

Walden Dissertations and Doctoral Studies

Truancy and chronic absenteeism among adjudicated youth are significant concerns for educators, school administrators, policymakers, and juvenile justice stakeholders because persistent school disengagement may contribute to pathways associated with the school-to-prison pipeline. Grounded in Hirschi’s social bond theory, the purpose of this quantitative correlational study was to examine the relationship between parental involvement, extracurricular activities, and teacher–student social bonds and truancy/chronic absenteeism among adjudicated youth. Secondary data were obtained from the Pathways to Desistance study, which included 1,070 adjudicated youth ages 14–17 from Maricopa County, Arizona, and Philadelphia County, Pennsylvania. Multiple linear regression was used to examine the relationships among …

Mental Health Self-Perceptions And Resource Utilization In Undergraduate Students At Binghamton University, Nicole J. Dreznin, Sarah Marcus

Binghamton University Undergraduate Journal

Undergraduate students face increasing rates of mental health challenges, however discrepancies in mental health literacy and utilization of resources may exist across student populations. This study examined the perceptions of mental health in undergraduate students at Binghamton University and if they differed among STEM vs non-STEM, man vs. women, and first-generation vs. continuing generation undergraduate students. A 20-question survey, containing 5 demographic questions and 15 mental health related questions was distributed through Qualtrics to 9 undergraduate classes. The available response choices were based on the Likert scale. A total of 1266 students participated.  Chi square tests of independence were done …

Single-Nucleotide Rna M6a Mapping In Bovine Preimplantation Development Reveals Site-Specific Regulation Of Rpl12 At Zygotic Genome Activation, Rajan Iyyappan, Yichi Niu, Yang Li, Hao Ming, Kinga Pajdzik, Noah R Rakestraw, Piyush K Jain, Chuan He, Chenghang Zong, Zongliang Jiang

Faculty, Staff and Students Publications

RNA N6-methyladenosine (m6A) is a key regulator of gene expression during early embryogenesis. Using SAC-seq (m6A-selective allyl chemical labeling and sequencing), an antibody-independent m6A profiling method, we generated the first single-nucleotide-resolution m6A map of bovine oocytes and preimplantation embryos. We observed both coordinated and uncoupled relationships between m6A modification and expression of protein-coding and noncoding genes. Integrative analysis of the transcriptome, m6A epitranscriptome, and translatome revealed dynamic m6A remodeling, particularly in ribosomal protein genes. Functional interrogation of a specific m6A site within the RPL12 transcript demonstrated that loss of this modification reduces protein synthesis, disrupts translation-related gene expression, impairs zygotic …

Energy Channel Coupling By Mid-Trophic Level Fish Challenges The Landscape Theory For Food Web Architecture In A Large Tropical Lake Ecosystem, Madison F. Muehl, Jill A. Olin, James L. Keyombe, Josephine Y. Aller, Robert M. Cerrato

Michigan Tech Publications

Landscape theory for food web architecture (LTFWA) posits that the stability of food webs is supported by the coupling of fast pelagic and slow littoral energy channels mediated by large mobile consumers. Empirical tests of the LTFWA are limited, and support for the LTFWA varies among and within aquatic ecosystems. While the LTFWA is thought to be supported in large lake ecosystems, empirical studies have focused on temperate environments with little emphasis on large tropical lake ecosystems. Lake Turkana, a climatically sensitive East African Great Lake, is a highly resilient desert lake and an ideal model for examining how consumer …

Greater Weekly Exercise Volume Is Associated With Lower Prevalence Of Metabolic Comorbidities, Psychiatric Conditions, And Exertional Symptoms In Youth Athletes Undergoing Pre-Participation Screening: An Observational Study, Grace Qiu, Seong Kyu Kim, Douglas Corsi, Alexander G. Hajduczok, Imran Masood, Daniel Underberg, Brian Osler, Drew Johnson, David Shipon

Division of Cardiology Faculty Papers

INTRODUCTION: Physical activity has been associated with improved cardiovascular health outcomes in adults. However, the specific associations between physical activity volume and cardiovascular outcomes in youth athletes are less defined.

METHODS: This study analyzed data from the HeartBytes National Youth Database, compiled from Simon's Heart. Simon's Heart is a nonprofit organization that includes information from sports pre-participation examinations for adolescents. The dataset encompasses demographics, electrocardiogram (ECG) findings, and exercise-related symptoms. Youth athletes' self-reported weekly physical activity volume was classified into four levels: < 2 h, 2-5 h, 5-10 h, and >10 h, with less than 2 h taken as the reference group. Given the physical diMerences among athletes …

Gene Transcriptional Expression Of Cerebral Blood Flow Alterations In Parkinson’S Disease: A Transcription-Neuroimaging Association Study, Jiaqi Cui, Qiane Yu, Haifeng Ran, Kexin Huang, Jie Hu, Tijiang Zhang

Faculty, Staff and Student Publications

Aim: Despite the intimate link between cerebral blood flow (CBF) alterations and Parkinson's disease (PD) pathogenesis and cognitive decline, the precise pathophysiological mechanisms driving this relationship remain elusive. This study seeks to correlate changes in CBF with regional gene expression to advance mechanistic understanding of the disease.

Methods: CBF group differences were first determined from ASL data in 53 PD and 40 healthy controls (HC) and subsequently correlated with cognitive scores (Dataset 1). A coordinate-based meta-analysis of published literature provided a second set of CBF differences (Dataset 2). Transcriptomic data from the Allen Human Brain Atlas were then correlated with …

Subunit Composition Of The Katp Channels That Modulate Contractility Of Skeletal Muscle During Fatigue, Rosa Scala, Yuezhou Chen, Berk Mizrak, Gretchen A Meyer, Colin G Nichols

2020-Current year OA Pubs

ATP-sensitive potassium (KATP) channels are among the most expressed ion channels in skeletal muscle sarcolemma. While all KATP subunits can be detected in skeletal muscles, transcripts are enriched for KCNJ11 and ABCC9, suggesting that noncanonical Kir6.2/SUR2A assembly may constitute the majority of sarcolemmal KATP channels, but there has been no systematic dissection of KATP makeup in skeletal muscles. Here, we used a unique collection of murine lines selectively lacking specific channel-forming subunits (knockout, KO), and combined a genetic and pharmacological approach to determine which subunits of KATP channels are functionally relevant for skeletal muscle contraction. Under fatiguing conditions, isometric tetanic …

Long-Term Inactivation Mediated By Different Fgf-A Homologues On Heterologously Expressed Nav1.2 Currents, Yenisleidy Lorenzo-Ceballos, Pedro L Martinez-Espinosa, Xiao-Ming Xia, Christopher J Lingle

2020-Current year OA Pubs

A-isoforms of cytosolic growth factor homologous factors (FGF11-14) mediate long-term inactivation (LTI) of voltage-dependent sodium (NaV) channels. LTI is a rapid onset process that is competitive with the fast inactivation (IF) intrinsic to NaV channels, with little or no interconversion between inactivated states. Since recovery from LTI is orders of magnitude slower than recovery from IF, repetitive depolarizations lead to use-dependent accumulation of NaV channels in slow recovery states, thereby limiting NaV availability during trains of action potentials. Of the two or more N-terminal splice variants of the various FGF homologues, LTI specifically arises only from the A-isoform of each …

Ct-Derived Epicardial Adipose Tissue Density And Its Association With Systemic Inflammation And Functional Impairment In Heart Failure With Preserved Ejection Fraction: A Prospective Cross-Sectional Study From Oman, Arif Albulushi, Ahmed Tawfek, Ahmed Basuoni

Journal of the Saudi Heart Association

Background: Heart failure with preserved ejection fraction (HFpEF) is strongly influenced by cardiometabolic comorbidity and systemic inflammation. Epicardial adipose tissue (EAT) is a biologically active visceral fat depot in direct contact with the myocardium, and CT-derived EAT density (attenuation) may reflect inflammatory adipose remodeling beyond adipose quantity alone. However, the clinical relevance of EAT density in HFpEF remains uncertain.

Objectives: To evaluate the association of CT-derived EAT density with systemic inflammatory biomarkers, functional capacity, health status, and echocardiographic indices of HFpEF severity in a prospective cross-sectional cohort.

Methods: In a prospective cross-sectional study conducted between January and July 2024 at …

Role Of Guidelines, Legislation, Litigation And Mechanisms For Sudep Communication In The Uk And In The Usa: A State-Of-The-Art Review, Rohit Shankar

Peninsula Medical School

IntroductionSudden unexpected death in epilepsy (SUDEP) remains a leading cause of premature mortality in people with epilepsy despite decades of research and guideline development.MethodsThis state-of-the-art narrative review synthesises multidisciplinary evidence from clinical guidelines, epidemiology, legal frameworks, policy initiatives, and advocacy sources in the United Kingdom (UK) and United States of America (USA). The review is structured to examine current practice (“where are we now”), evolution of influencing mechanisms (“how did we get here”), and future directions for improving SUDEP prevention (“where should we go next”).ResultsWhere are we now SUDEP risk communication remains inconsistent despite clear guideline recommendations. Implementation is hindered …

Real-Time Image Denoising And Reconstruction Using Generative Adversarial Networks (Gans), Roa'a M. Al_Airaji, Haider Th. Salim Alrikabi, Rula Kamil, Svyd Iryna

Karbala International Journal of Modern Science

This paper presents a real-time image denoising and reconstruction system based on a compact Generative Adversarial Network (GAN) designed for embedded systems and edge computing. The proposed model employs a [ generator and a PatchGAN discriminator, trained using hybrid loss function that combines L1, perceptual, and adversarial terms to balance pixel and perceptual realism. Evaluations were conducted on multiple datasets, including DIV2K, BSD68, SIDD, DND, RENOIR, and PolyU at noise levels (σ = 15, 25, 50). Quantitatively, the proposed model achieves an average PSNR of 32.8 dB and an SSIM of 0.88, which is higher by more than 3 dB …

Purification And Concentration Of Model Viruses Using Single-Pass Tangential Flow Filtration, Luis Alberto Mejía-Manzano, Lynn M. Manchester, Grace Wallis, Kan Wang, Bruce Lee, Michael Betenbaugh, Caryn Heldt

Michigan Tech Publications

The vaccine and viral vector industry is growing at an accelerated rate. To improve harvest and purification processes, the development of continuous membrane-based operations, such as normal flow filtration (NFF) and single pass tangential flow filtration (SPTFF) for concentration were explored. This work was conducted using two model viruses, non-enveloped porcine parvovirus (PPV) and enveloped Suid herpesvirus (SuHV). The viruses are in the same family as the gene therapy vectors adeno associated virus and herpes simplex virus, respectively. SPTFF design started with batch TFF for membrane selection. Hollow fiber membranes with a 100 and 300 kDa molecular weight cut off …