Article
Biotechnology & Applied Microbiology
Bassem Ben Yahia, Laetitia Malphettes, Elmar Heinzle
Summary: This study presents a systematic approach to predict CHO cell growth, metabolism, and mAb formation in biopharmaceutical production. It considers the impact of intracellular metabolites and successfully predicts the influence of new feeding strategies on cell growth and mAb production. The model developed shows promise for in silico prediction of optimal operating conditions.
METABOLIC ENGINEERING
(2021)
Article
Biotechnology & Applied Microbiology
Luke A. Gibbons, Carl Rafferty, Kerry Robinson, Marta Abad, Francis Maslanka, Nikky Le, Jingjie Mo, Kevin Clark, Fiona Madden, Ronan Hayes, Barry McCarthy, Christopher Rode, Jim O'Mahony, Rosemary Rea, Caitlin O'Mahony Hartnett
Summary: The QbD approach emphasizes understanding the production process for therapeutic mAbs to maintain product quality; Current methods for measuring CQAs are time and resource intensive, while PAT tools can provide real time measurements and align with QbD approach. Models developed with PAT tools showed good performance at small scale, but higher error rates at manufacturing scale suggest scale as a key consideration.
BIOTECHNOLOGY PROGRESS
(2022)
Review
Biotechnology & Applied Microbiology
Michelle Combe, Stanislav Sokolenko
Summary: This review documented and quantitatively estimated the impact of media optimization studies on cell culture performance in recombinant protein production using Chinese hamster ovary cells over the last twenty years. While trace elements were found to have a positive impact on cell density and nucleotides showed potential for increasing titer, the impact of specific additives was found to be more variable than perceived. Additives only accounted for a small percentage of variation in cell density and titer, emphasizing the need for studies to consider multiple factors to ensure generalized and further developed observations.
BIOTECHNOLOGY ADVANCES
(2021)
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
Hubert Schwarz, Meeri E. Makinen, Andreas Castan, Veronique Chotteau
Summary: Raman spectrum based predictive models offer a process analytical technology tool for monitoring and controlling culture parameters in bioprocesses. By varying the cell specific perfusion rate and cell density, steady-states were obtained to establish predictive models with high accuracy. This approach can be valuable in steady-state perfusion production processes.
BIOCHEMICAL ENGINEERING JOURNAL
(2022)
Article
Spectroscopy
Mahendra K. Shukla, Philippa Wilkes, Norma Bargary, Katherine Meagher, Dikshitkumar Khamar, Donal Bailey, Sarah P. Hudson
Summary: Monoclonal antibodies are highly specific and effective therapies for chronic diseases. However, traditional identification methods for therapeutic proteins have limitations such as lengthy sample preparation, contamination risks, and sample destruction. In this study, Raman spectroscopy combined with chemometrics was used to develop a rapid and non-destructive identification technique for monoclonal antibody-based drug substances, demonstrating its potential in the biopharmaceutical industry.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Biotechnology & Applied Microbiology
Kexue Liang, Hongzhen Luo, Qi Li
Summary: In this study, the effects of different perfusion culture strategies on process stability, product titer, and product quality were investigated. Continuous perfusion was found to be more effective in maintaining high levels of cell density, product titer, and quality compared to intermittent perfusion culture. Furthermore, the study optimized the perfusion culture conditions by adjusting perfusion rates and culture temperature. The optimized strategy resulted in significantly higher product titer and maintained excellent product quality.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Biotechnology & Applied Microbiology
Simon Joubert, Julie Guimond, Sylvie Perret, Felix Malenfant, S. Mehdy Elahi, Anne Marcil, Marie Parat, Michel Gilbert, Anne E. G. Lenferink, Jason Baardsnes, Yves Durocher
Summary: A method to enhance the effector function of antibodies and increase their antitumor activity by inhibiting core fucosylation is discussed. The expression of a membrane-associated anti-FUT8 intrabody in the endoplasmic reticulum and Golgi apparatus reduces FUT8 enzyme activity and core fucosylation of antibody N-glycans, resulting in antibodies with enhanced ADCC effector function.
BIOTECHNOLOGY AND BIOENGINEERING
(2022)
Article
Biotechnology & Applied Microbiology
Nathaniel K. Hamaker, Lie Min, Kelvin H. Lee
Summary: The biomanufacturing industry is moving towards continuous processes, which may pose challenges due to fluctuations in host cell protein (HCP) levels. A study on Chinese hamster ovary (CHO) cells showed that HCP expression changes over time, but not as dramatically as originally expected.
BIOTECHNOLOGY AND BIOENGINEERING
(2022)
Article
Biochemical Research Methods
Kessia Nattaly Oliveira dos Santos, Monica Benicia Mamian-Lopez
Summary: Optical sensors can detect various substances, from biological samples to hazardous substances. In this study, a colorimetric nanoantenna sensor using gold nanoparticles embedded in poly(vinyl alcohol) and decorated with a dye was constructed. The sensor demonstrated potential reusability and was used to visually detect H2O2 with a smartphone-based app. Chemometric modeling of the app data allowed for a detection limit of 0.0058% of H2O2 and visual observation of sensor changes, supporting the combination of nanoantenna sensors with chemometric tools for sensor design. This approach has the potential to enable visual detection and colorimetric quantification of analytes in complex samples.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2023)
Article
Spectroscopy
Anna Luiza B. Brito, Carlotta Brueggen, Gulce Ogruc Ildiz, Rui Fausto
Summary: This study utilized Raman spectroscopy to investigate the impact of menopause on hair growth, revealing a decrease in hair cuticle thickness and the prevalence of disulphide bonds. Through a novel chemometrics approach, statistical models for hair sample classification were successfully developed.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Chemistry, Analytical
Prity Kumari, Marianne Saldanha, Ratnesh Jain, Prajakta Dandekar
Summary: Addition of sugar osmolytes and formulation excipients can effectively reduce monoclonal antibody aggregation during cell culture, improving downstream processing and process yield.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
(2023)
Article
Spectroscopy
Karlis Berzins, Samuel D. L. Harrison, Claudia Leong, Sara J. Fraser-Miller, Michelle J. Harper, Aly Diana, Rosalind S. Gibson, Lisa A. Houghton, Keith C. Gordon
Summary: Raman and ATR-FTIR spectroscopy were used to analyze 208 breast milk samples as part of a larger research study. Comprehensive qualitative and quantitative analysis was carried out using chemometric methods, revealing the relationship between macronutrients and sample metadata. The study location and primary food sources were found to have a stronger impact on fat composition than its absolute content, highlighting the limitations and challenges of using spectroscopic techniques for this type of analysis.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Plant Sciences
Charles Farber, Dmitry Kurouski
Summary: Raman spectroscopy is a promising tool for diagnosing plant biotic and abiotic stresses, identifying plant species and varieties, and evaluating the nutritional content and commercial values of seeds. This study critically discusses three major approaches for advanced spectroscopic data analysis, and demonstrates their outcomes and potential using Raman spectra from roses. The findings of this study are expected to contribute to the optimization of spectral processing and preprocessing, and be valuable for researchers working on spectroscopic analyses of plant specimens.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Karla Echeverria-Altamar, Barbara B. Alvarado-Hernandez, Pedro Resto-Irizarry, Rodolfo J. Romanach
Summary: This study aimed to build a spectral library using a handheld Raman spectrometer to identify four cell culture media in powder form. The Raman spectra successfully distinguished different concentrations of glucose and pyruvate in the cell culture media. However, the predictions were affected by sample heterogeneity, and further studies are needed to enhance the ability to differentiate cell culture media with high glucose.
PHARMACEUTICAL RESEARCH
(2023)
Article
Chemistry, Analytical
Julie Guillemant, Alexandra Berlioz-Barbier, Florian Albrieux, Luis P. de Oliveira, Marion Lacoue-Negre, Jean-Francois Joly, Ludovic Duponchel
ANALYTICAL CHEMISTRY
(2020)
Article
Chemistry, Analytical
Alessandro Nardecchia, Cecile Fabre, Jean Cauzid, Frederic Pelascini, Vincent Motto-Ros, Ludovic Duponchel
ANALYTICA CHIMICA ACTA
(2020)
Article
Energy & Fuels
Julie Guillemant, Marion Lacoue-Negre, Alexandra Berlioz-Barbier, Luis P. de Oliveira, Florian Albrieux, Jean-Francois Joly, Ludovic Duponchel
Article
Energy & Fuels
Julie Guillemant, Alexandra Berlioz-Barbier, Luis P. de Oliveira, Florian Albrieux, Marion Lacoue-Negre, Ludovic Duponchel, Jean-Francois Joly
Article
Biochemistry & Molecular Biology
Fabien Baldacci-Cresp, Julien Le Roy, Brigitte Huss, Cedric Lion, Anne Creach, Corentin Spriet, Ludovic Duponchel, Christophe Biot, Marie Baucher, Simon Hawkins, Godfrey Neutelings
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2020)
Article
Chemistry, Analytical
Alessandro Nardecchia, Vincent Motto-Ros, Ludovic Duponchel
Summary: This article discusses the phenomenon of saturated signals observed in acquired spectra and their impact on sample analysis, emphasizing the importance of correcting saturation effects and strategies for managing saturated bands. It also introduces a novel concept of considering saturated values as missing ones, and implementing statistical imputation to recover lost information.
ANALYTICA CHIMICA ACTA
(2021)
Article
Chemistry, Analytical
Alessandro Nardecchia, Raffaele Vitale, Ludovic Duponchel
Summary: It is increasingly recognized the importance of spectroscopic imaging in all fields of science for exploring complex samples. However, current techniques tend to focus on spectral information and often neglect the exploitation of spatial information.
Article
Chemistry, Analytical
Andrea Cappozzo, Ludovic Duponchel, Francesca Greselin, Thomas Brendan Murphy
Summary: This paper proposes a robust model-based method that simultaneously performs variable selection, outliers, and label noise detection, successfully applied in agricultural food spectroscopic studies, effectively identifying anomalous spectra and achieving competitive predictive accuracy.
ANALYTICA CHIMICA ACTA
(2021)
Article
Chemistry, Analytical
Julie Guillemant, Alexandra Berlioz-Barbier, Luis P. de Oliveira, Marion Lacoue-Negre, Jean-Francois Joly, Ludovic Duponchel
Summary: This paper discusses the characterization of neutral nitrogen compounds found in vacuum gas oils using ion mobility-mass spectrometry coupled to separative methods. The study investigates the properties of the samples, such as structure and mobility, to evaluate the quantity and reactivity of isomers during hydrotreatment, providing insights into the resistance of targeted compounds to the process or their status as reaction intermediates.
ANALYTICA CHIMICA ACTA
(2021)
Article
Chemistry, Analytical
Olivier Devos, Mahdiyeh Ghaffari, Raffaele Vitale, Anna de Juan, Michel Sliwa, Cyril Ruckebusch
Summary: The study introduces a multivariate curve resolution method based on data slicing, allowing tailored and fit-free analysis of multiexponential fluorescence decay curves. This approach enables the recovery of individual components with decay profiles that are only partially describable by monoexponential functions, and can extract fluorescence lifetime information accurately.
ANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Analytical
Dario Cevoli, Siewert Hugelier, Robin Van den Eynde, Olivier Devos, Peter Dedecker, Cyril Ruckebusch
Summary: Fluorescence microscopy is a powerful technique for distinguishing multiple labels based on their emission color or other properties. In this study, we propose a method called Slicing to identify different components in a multiplexed fluorescence microscopy image using a single measurement channel. We demonstrate this method on bleaching-recovery fluorescence microscopy imaging data of U2OS cells.
Article
Chemistry, Analytical
Raffaele Vitale, Giulia Spinaci, Federico Marini, Philippe Marion, Martine Delcroix, Arnaud Vieillard, Francois Coudon, Olivier Devos, Cyril Ruckebusch
Summary: A novel fast and automatic methodology for the hierarchical classification and similarity matching of mid-infrared spectra of paint samples based on SIMCA and Mahalanobis distance is proposed. The methodology was tested in a market study in Lille, France, and successfully achieved the chemical characterization of most of the samples, as well as discovered specific commonality patterns among samples with the same chemical features.
Article
Chemistry, Analytical
Alessandro Nardecchia, Raffaele Vitale, Eric Ziemons, Ludovic Duponchel
Summary: Hyperspectral imaging technology is developing rapidly, allowing for faster data acquisition with improved quality. However, current chemometric classification methods only utilize spectral information, neglecting spatial information. This limitation can be overcome by employing the 2-D Stationary Wavelet Transform in the data preprocessing phase.
ANALYTICA CHIMICA ACTA
(2023)
Review
Chemistry, Analytical
Vincent Gardette, Vincent Motto-Ros, Cesar Alvarez-Llamas, Lucie Sancey, Ludovic Duponchel, Benoit Busser
ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Analytical
Ludovic Duponchel, Bruno Bousquet, Frederic Pelascini, Vincent Motto-Ros
JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY
(2020)
Article
Chemistry, Analytical
Yujia Ying, Huilin Li
Summary: Enzymes play a crucial role as biological catalysts in accelerating biochemical reactions in living organisms. This study proposes a convenient method for monitoring enzymatic catalytic processes using native top-down mass spectrometry. By exploring the heterogeneity of the chymotrypsin sample and using tandem mass spectrometry, the researchers were able to monitor covalent and noncovalent enzymatic complexes, substrates, and products during catalysis. The results demonstrate that this method has the potential to be a promising tool for characterizing biocatalysts.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Kang Yang, Shuaibo Shi, Jinyu Wu, Shaolong Han, Shengdi Tai, Shishen Zhang, Kun Zhang
Summary: H2O and D2O are important analogues closely related to various industries and monitoring fields. This study successfully distinguishes and detects H2O and D2O by designing a novel eu(III)-macrocycle with dual emitters, Eu-2a, and conducting fluorescence titration experiments.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Julia Kuligowski, Alvaro Perez-Rubio, Marta Moreno-Torres, Polina Soluyanova, Judith Perez-Rojas, Ivan Rienda, David Perez-Guaita, Eugenia Pareja, Ramon Trullenque-Juan, Jose Castell, Marcha Verheijen, Florian Caiment, Ramiro Jover, Guillermo Quintas
Summary: This study introduces a novel variable selection approach called cluster PLS (c-PLS) to assess the joint impact of variable groups selected based on biological characteristics on the predictive performance of a multivariate model. The usefulness of c-PLS is shown using miRNomic and metabolomic datasets obtained from the analysis of liver tissue biopsies.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Meixue Lai, Lijie Zhong, Siyi Liu, Yitian Tang, Tingting Han, Huali Deng, Yu Bao, Yingming Ma, Wei Wang, Li Niu, Shiyu Gan
Summary: This study presents a method for constructing wearable sweat electrolyte sensors using carbon fiber-based solid-contact ion-selective electrodes (SC-ISEs). By using carbon fibers extracted from commercial cloth as electrode material, the cost and reproducibility issues of flexible SC-ISEs were addressed. The results showed that the carbon fiber-based SC-ISEs exhibited reversible voltammetric and stable impedance performances, and had high reproducibility of standard potentials between normal and bending states.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Ke Yang, Ying Liu, Min Deng, Peipei Wang, Dan Cheng, Songjiao Li, Longwei He
Summary: A near-infrared fluorescent probe has been developed to accurately measure the levels of peroxynitrite (ONOO-) in the endoplasmic reticulum (ER) in acute lung injury (ALI). The probe demonstrated rapid response, high selectivity, good sensitivity, and enhanced fluorescence intensity in response to ONOO-. It was successfully used to detect changes in ONOO- levels and showed significant increases in an ALI cell model and an ALI mouse model.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yanping Wang, Yuemei Chen, Kejun Li, Jinrong Zhou, Xin Yuan, Mei Zhang, Ke Huang
Summary: In this work, a portable analytical system based on point discharge chemical vapor generation atomic emission spectrometry (PD-CVG-AES) coupling with gold filament enrichment was designed. The highly sensitive analysis of Hg2+ indirectly realized the detection of ascorbic acid (AA). The measurement is based on the fact that Ag+ can decrease the concentration of Hg2+ by forming Ag-Hg amalgam in the presence of the reductant SnCl2, while AA can pre-reduce Ag+ to Ag0, leading to the generation of silver nanoparticles (Ag NPs). The developed novel analytical strategy broadens the application of microplasma-based AES and offers a higher level of sensitivity compared to current AA detection techniques.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yundi Huang, Bo Song, Kaiwen Chen, Deshu Kong, Jingli Yuan
Summary: This study developed two lysosome-targetable background-free TGL probes for efficient and accurate detection of 1O2, which can be used for monitoring endogenous 1O2 concentrations in lysosomes and discriminating variability induced by different photosensitizers. Furthermore, a smart luminescent sensor film was successfully prepared for on-site 1O2 production detection during PDT processes, offering a promising clinical monitoring tool for skin diseases.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Wei Lang, Jia-Mei Qin, Qian-Yong Cao
Summary: A novel polymer-based probe P1 was successfully synthesized for fluorescently ratiometric sensing of H2S with high selectivity and sensitivity. A smartphone sensing platform was constructed to conduct visual quantitative detection of H2S. P1 can be employed in evaluating the level fluctuations of H2S in living cells, testing water samples/wine samples, and monitoring food freshness.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yuanyuan Qin, Shuda Liu, Shuyun Meng, Dong Liu, Tianyan You
Summary: The study developed a split aptamer-based sandwich-type ratiometric biosensor for the detection of 17 beta-estradiol (E2) using photoelectrochemical and electrochemical assays. The biosensor utilized split aptamer fragments to recognize E2 and trigger a hybridization chain reaction, resulting in the production of double-stranded DNA labeled with CdTe quantum dots. This DNA complex was able to sensitize CdTe quantum dots and generate response signals for E2 detection. The developed biosensor demonstrated high sensitivity and accuracy with two linear ranges and low detection limits.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Siriwan Teepoo, Jongjit Jantra, Khaunnapa Panapong, David Taiwo Ajayi
Summary: A novel immunochromatographic assay based on hyperbranched Au plasmonic blackbodies with a smartphone readout was developed for rapid and sensitive detection of leucomalachite green residues in fish and shrimp products.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Andrea L. Larraga-Urdaz, Borja Moreira-Alvarez, Jorge Ruiz Encinar, Jose M. Costa-Fernandez, Maria Luisa Fernandez-Sanchez
Summary: A major challenge in the 21st century is the development of point-of-care diagnostic tools. In this study, a highly sensitive and simple bioassay using AuNPs and MNAzymes was developed for rapid detection and quantification of miRNA-4739. The proposed strategy shows potential for breast cancer diagnosis.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Xiaohan Zhao, Anyu Wang, Lingzi Zhai, Jiuhe Gao, Sizhe Lyu, Yingshan Jiang, Tian Zhong, Ying Xiao, Xi Yu
Summary: A novel method using polystyrene-coated magnetic nanoparticles for extracting monohydroxy polycyclic aromatic hydrocarbons from urine samples was investigated. The proposed method is simple, sensitive, and efficient, with desirable sensitivity for analyzing low-abundance metabolites in large volumes of complex urine samples.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Ke Quan, Yuqing Zeng, Wenke Zhang, Fengfeng Li, Mengjiao Li, Zhihe Qing, Linlin Wu
Summary: In this study, a visual and reusable biosensor was developed for detecting substrates that are closely associated with human physiological health. The immobilized oxidase showed higher stability and sensitivity under harsh conditions, enabling reliable detection of substrates in complex fluids.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Dongjuan Wang, Xiuqian Ding, Jinling Xie, Juan Wang, Guanhao Li, Xin Zhou
Summary: In this study, a three-in-one sensor was developed for real-time detection of biogenic amines (BAs) with high sensitivity and selectivity. The sensor showed multimodal responses and could be used to fabricate portable devices for on-site non-destructive assessment of food spoilage indicators.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Jinting Meng, Zihao Xu, Shasha Zheng, Hongqun Yang, Tianfu Wang, Hong Wang, Yingwei Zhang
Summary: This study demonstrates the development of a cascade signal amplification system using a multi-pedal DNA walker and strand displacement reactions for the electrochemical detection of miRNA-155. The biosensor exhibited high sensitivity, selectivity, and the potential for clinical applications.
ANALYTICA CHIMICA ACTA
(2024)