Article
Biotechnology & Applied Microbiology
Joe Emerson, Jarka Glassey
Summary: This review highlights the importance of bioprocess monitoring and control in the safe and effective manufacture of bioproducts, with a specific focus on the growing field of cell and gene therapy. The challenges and complexities of these products and the processes involved in their production are outlined, along with perspectives on implementation within the regulatory framework.
CURRENT OPINION IN CHEMICAL ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Tian-Feng Qi, Hai-Rong Fang, Yu-Fei Chen, Li-Tao He
Summary: With the rapid development of aerospace, the lack of digital monitoring and detection in the current manufacturing process leads to low efficiency and inconsistent quality of large complex curved workpieces. To address this issue, a framework of a monitoring system based on digital twin technology is proposed, focusing on the low degree of virtual visualization and insufficient monitoring ability in large complex surface machining. By studying key technologies such as virtual twin model construction, multi-source data acquisition and transmission, and virtual-real mapping relationship construction, a digital twin monitoring system for large complex surface machining is developed. The feasibility and effectiveness of the system are verified through a real scene, providing a reference for monitoring the machining process of large complex curved workpieces.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Biotechnology & Applied Microbiology
Jens Kastenhofer, Vignesh Rajamanickam, Julian Libiseller-Egger, Oliver Spadiut
Summary: Monitoring and controlling the integrity of inner and outer membranes in E. coli is crucial for the soluble expression of recombinant proteins, impacting downstream processes. This review provides an overview of relevant monitoring tools, research on factors affecting membrane integrity, and discusses the implementation of monitoring technology in real-time control of E. coli cultivations.
JOURNAL OF BIOTECHNOLOGY
(2021)
Article
Plant Sciences
Chengkang Liu, Zhiqiang Zhai, Ruoyu Zhang, Jingya Bai, Mengyun Zhang
Summary: This study designed an image acquisition device, established a pest identification model based on image processing and deep learning algorithm, and proposed a model update strategy and pest outbreak warning method. The results showed that this system could quickly and accurately obtain insect information, providing an effective tool for pest control in cotton fields.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Automation & Control Systems
Andrea Martinelli, Matilde Gargiani, John Lygeros
Summary: This paper introduces a relaxed version of the Bellman operator for q-functions and proves its monotone contraction property with a unique fixed point. Based on this operator, a relaxed linear program (RLP) is constructed, which has better scalability and computational efficiency compared to the standard LP formulation. The theoretical results are validated through simulations.
Article
Biotechnology & Applied Microbiology
Niels Krausch, Jong Woo Kim, Tilman Barz, Sergio Lucia, Sebastian Gross, Matthias C. Huber, Stefan M. Schiller, Peter Neubauer, Mariano N. Cruz Bournazou
Summary: Modern biotechnological laboratories are equipped with advanced parallel mini-bioreactor facilities capable of performing complex cultivation strategies and generating large amounts of measurement data. This study demonstrates the challenges and value of implementing a model predictive control framework in such systems.
BIOTECHNOLOGY AND BIOENGINEERING
(2022)
Article
Automation & Control Systems
Mahsa Doosthosseini, Kevin Aroom, Majid Aroom, Melissa Culligan, Warren Naselsky, Chandrasekhar Thamire, Henry W. Haslach, Stephen Roller, James Hughen, Joseph Friedberg, Jin-Oh Hahn, Hosam Fathy
Summary: This article introduces a novel mechatronic setup designed to provide respiratory support for patients with pulmonary failure. The setup circulates oxygenated perfluorocarbon (PFC) through the abdominal cavity, potentially transporting oxygen to the bloodstream. However, the viability of CO2 clearance with this technology is uncertain, and there is a lack of experimental data on the underlying dynamics. The article outlines the design of the experimental perfusion setup, data acquisition system, and control algorithms developed for monitoring key variables.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Mahsa Doosthosseini, Kevin Aroom, Majid Aroom, Melissa Culligan, Warren Naselsky, Chandrasekhar Thamire, Henry W. Haslach, Stephen Roller, James Hughen, Joseph Friedberg, Jin-Oh Hahn, Hosam Fathy
Summary: This article presents a novel mechatronic setup that provides respiratory support to patients with pulmonary failure. The setup circulates oxygenated perfluorocarbon through the abdominal cavity to provide a potential pathway for oxygen transport to the bloodstream. The article summarizes the design of the setup, discusses its data acquisition system, and highlights the development of control algorithms. Experiments show that the setup can potentially affect both oxygen and carbon dioxide dynamics and effectively records key data for modeling.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Review
Biochemical Research Methods
Michael J. Plank
Summary: In recent years, algorithms for data acquisition in proteomics have become more complex, allowing for dynamic adjustment of parameters to improve accuracy. These dynamic acquisition methods have been developed into software and integrated into standard instrument control, and are expected to transform the field of proteomics in the coming years.
JOURNAL OF PROTEOME RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Jie Wang, Chunhui Zhao
Summary: This article develops a robust CPM model for varying-dimensional time-series data resulting from the missing variables in SCADA systems, which constructs specific graphs for input data through a structural feature extraction module and achieves generalization ability through graph neural networks.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Energy & Fuels
Jianguo Qian, Bingquan Zhu, Ying Li, Zhengchai Shi
Summary: This paper proposes a method to optimize the operation control of power units by providing interactive visualization support through multiple view mapping and associations. The method improves the economy of unit operation and the accuracy of control process by combining different views and discovering model accuracy and anomalies.
Article
Nuclear Science & Technology
YoungHwa An, Boseong Kim, Haewon Shin, Yeonjung Kim, Changrae Seon, Inwoo Song, MunSeong Cheon
Summary: An I & C system has been developed to facilitate the stable monitoring of impurity species in plasmas, providing both machine protection and plasma control. The system includes automated data acquisition and remote control of VUV spectrometer systems, as well as the implementation of interlocks to protect the main vacuum and the VUV spectrometers.
FUSION ENGINEERING AND DESIGN
(2022)
Article
Engineering, Electrical & Electronic
Shuaishuai Shen, Jing Zheng, Yuan Sun, Xingzhi Teng, Suping Peng
Summary: Surface microseismic monitoring is a critical technology for monitoring subsurface reservoir processes, but it faces challenges in weak signal acquisition and real-time data monitoring. This study presents a design approach using buried sensors and low-cost embedded devices to develop a microseismic monitoring data logger with acquisition, synchronization, record, and transmission functions. The system is evaluated for its monitoring abilities and noise level.
IEEE SENSORS JOURNAL
(2022)
Article
Plant Sciences
Oladayo S. Ajani, Esther Aboyeji, Rammohan Mallipeddi, Daniel Dooyum Uyeh, Yushin Ha, Tusan Park
Summary: Optimal sensor location methods are crucial for achieving a sensor profile that meets pre-defined performance criteria and minimal cost. This study presents a genetic programming-based optimal sensor placement approach for greenhouse monitoring and control, starting with a reference micro-climate condition obtained by aggregating measurements from 56 sensors. The results demonstrate high correlations and low error values, indicating the effectiveness of the proposed model.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Mathematics
Cesar Ricardo Soto-Ocampo, Joaquin Maroto, Juan David Cano-Moreno, Jose Manuel Mera
Summary: This study optimized the performance of low-cost data acquisition equipment to achieve a sampling rate of 200 kHz. This was achieved by considering the influence of the power source and changing the data type used. The equipment was validated by successfully identifying frequency components in known waves and damaged bearing components, demonstrating its viability for monitoring bearing condition.
Review
Biotechnology & Applied Microbiology
Anurag S. Rathore, Saxena Nikita, Garima Thakur, Somesh Mishra
Summary: Artificial intelligence and machine learning have vast potential in optimizing the design, monitoring, and control of biopharmaceutical manufacturing. The driving forces for adopting these techniques include the increasing global demand for biotherapeutics and the rise of Industry 4.0, which require intelligent, automated supervision. This review summarizes the applications of artificial intelligence and machine learning in biopharmaceutical manufacturing, focusing on commonly used algorithms such as multivariate data analysis, artificial neural networks, and reinforcement learning. Perspectives on the future growth of these applications and the challenges in implementing them at manufacturing scale are also discussed.
TRENDS IN BIOTECHNOLOGY
(2023)
Article
Biotechnology & Applied Microbiology
Rajinder Kaur, Anurag S. Rathore
Summary: This study demonstrates that the addition of antioxidants in cell culture can reduce ROS levels, increase mitochondrial membrane potential, improve cell viability, reduce apoptosis and lysosome activity. Furthermore, antioxidants can enhance antibody production and improve its quality.
JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
(2023)
Article
Biochemical Research Methods
Nitika Nitika, Garima Thakur, Anurag S. Rathore
Summary: This article proposes a strategy for automating and controlling multi-step polishing chromatography in the continuous manufacturing of monoclonal antibodies. The strategy utilizes a BioSMB system with a customized Python control layer and leverages the BioSMB valve manifold for in-line conditioning. Real-time monitoring of pH and conductivity, along with control of pumps and valves, allows for automated in-line conditioning inside the BioSMB manifold. The strategy eliminates the need for multiple BioSMB units or external equipment, offering a simple and robust structure for integrating multiple polishing chromatography steps.
JOURNAL OF CHROMATOGRAPHY A
(2023)
Article
Chemistry, Analytical
Anuj Shrivastava, Shyamapada Mandal, Sudip K. Pattanayek, Anurag S. Rathore
Summary: Aggregation of monoclonal antibody therapeutics is a serious concern. A new approach using dynamic light scattering (DLS) and machine learning (ML) algorithm is proposed to quantify the relative percentage of multimers in a monoclonal antibody therapeutic product.
ANALYTICAL CHEMISTRY
(2023)
Review
Biotechnology & Applied Microbiology
Saxena Nikita, Somesh Mishra, Keshari Gupta, Venkataramana Runkana, James Gomes, Anurag S. Rathore
Summary: Advanced control strategies have been widely implemented in chemical, pharmaceutical, and food processing industries. Recently, there has been exploration of applying these strategies to bioreactor control for the production of biotherapeutics. The development of a robust and advanced process control system, aided by advancements in sensors, machinery, and industrial internet of things, can greatly improve bioreactor process performance, productivity, and reproducibility. This review discusses the advancements, challenges, and future prospects for control strategies in industrial-scale production of biotherapeutic products.
BIOTECHNOLOGY AND BIOENGINEERING
(2023)
Review
Biochemistry & Molecular Biology
Anurag S. Rathore, Ramesh Kumar, Om Shanker Tiwari
Summary: Snakebite envenoming (SBE), a neglected tropical disease, is responsible for approximately 138,000 deaths globally each year, with antivenom being the only approved treatment. However, existing antivenom therapy has limitations and improving it is crucial for reducing the global SBE burden.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Article
Biochemical Research Methods
Sanghati Bhattacharya, Srishti Joshi, Anurag S. Rathore
Summary: With the growth of the biopharmaceutical industry, the demands on analytical workflows have increased. A recent evolution in newer analytical workflows is the use of multi-attribute monitoring workflows designed on chromatography-mass spectrometry (LC-MS) platform. This study describes a native multi-dimensional multi-attribute monitoring workflow for at-line characterization of monoclonal antibody (mAb) titer, size, charge, and glycoform heterogeneities directly in cell culture supernatant.
JOURNAL OF CHROMATOGRAPHY A
(2023)
Article
Chemistry, Analytical
Tushar Sharad Savane, Sunil Kumar, Anurag S. S. Rathore
Summary: A novel workflow combining Protein-A affinity chromatography and size exclusion chromatography with native mass spectrometry is proposed in this study to monitor multiple attributes in a short time. This approach is more efficient and requires a smaller sample size compared to the traditional standalone method.
JOURNAL OF SEPARATION SCIENCE
(2023)
Article
Chemistry, Multidisciplinary
Rachayita Nag, Srishti Joshi, Anurag Singh Rathore, Subhabrata Majumder
Summary: In this study, the activity of L-asparaginase II (MW 135 kDa) from E. coli was observed using NMR technology. It was found that a flexible loop structure of the enzyme played a key role in its activity. Combining isothermal titration calorimetry (ITC) and NMR, it was demonstrated that changes in protein conformation could result in loss of function. The results indicate that 2D NMR can be reliably used to evaluate the structure-function relationship of this enzyme without the need for protein labeling.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
Article
Biochemical Research Methods
Sunil Kumar, Tushar Sharad Savane, Anurag S. Rathore
Summary: Monitoring size and charge variants in biopharmaceutical products is crucial. A novel 2D-SEC-MS/WCX-MS workflow was proposed to analyze size and charge-related variants simultaneously without manual intervention. Compared to stand-alone SEC and WCX methods, this method requires less sample and has a shorter analysis time.
JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
(2023)
Article
Chemistry, Analytical
Geetanjali Basavaraj Hubli, Shantanu Banerjee, Anurag S. Rathore
Summary: In this study, a robust FT-NIR based quantification method has been developed for the measurement of all 20 amino acids, glucose, lactate, and trastuzumab in CHO cell culture. The method achieved good calibration statistics and demonstrated the ability to accurately predict the concentrations of these components. The proposed tool has the potential to play a critical role in biopharmaceutical manufacturing and process control.
Article
Biotechnology & Applied Microbiology
Manu Garg, Anurag Singh Rathore
Summary: This study demonstrates the use of an empirical model to achieve the desired particle size by making suitable real-time changes in critical process parameters (CPPs) in view of process disruption. It aligns with the paradigm of quality by design, ensuring consistent product quality through process understanding and control.
JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Esha Shukla, Lipsa Choudhury, Saurabh Rastogi, Arshmeet Chawla, Sanghati Bhattacharya, Umesh Kaushik, Manan Mittal, Anurag Singh Rathore, Gaurav Pandey
Summary: This study successfully enhanced the stability of SARS-CoV2 nucleocapsid (NP) antigen using immunologically guided protein engineering. The stability studies at different temperatures showed that NP250-365 exhibited the least degradation, suggesting its potential use as a stable capture antigen in LFIA devices for COVID-19 detection.
Article
Radiology, Nuclear Medicine & Medical Imaging
Sanjeet S. Patil, Manojkumar Ramteke, Mansi Verma, Sandeep Seth, Rohit Bhargava, Shachi Mittal, Anurag S. Rathore
Summary: We propose a translatable deep learning framework for diagnostic segmentation of cine MRI scans, aiming to improve the generalizability of state-of-the-art architectures across different datasets. We evaluated three CNN architectures and found that the U-Net model, trained on a combination of three different cardiac MRI sequences, achieved the highest generalizability across multiple datasets.
JOURNAL OF DIGITAL IMAGING
(2023)
Article
Biochemical Research Methods
Sunil Kumar, Vineela Peruri, Anurag S. Rathore
Summary: In this study, an online volatile-salt-containing two-dimensional liquid chromatography (2D-LC) method coupled with mass spectrometry (MS) was used to characterize the charge heterogeneity of monoclonal antibodies (mAbs). The 2D-LC method successfully separated and identified more mAb variants, including minor variations in charge distribution or conformation that could not be detected by single analytical methods alone.
JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
(2023)
