Benoît Igne

ORCID: 0000-0002-2127-5420
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About
Contact & Profiles
Research Areas
  • Spectroscopy and Chemometric Analyses
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Analytical Chemistry and Chromatography
  • Advanced Chemical Sensor Technologies
  • Fault Detection and Control Systems
  • Pesticide Residue Analysis and Safety
  • Mineral Processing and Grinding
  • Water Quality Monitoring and Analysis
  • Drug Solubulity and Delivery Systems
  • Meat and Animal Product Quality
  • Analytical Methods in Pharmaceuticals
  • Crystallization and Solubility Studies
  • Leaf Properties and Growth Measurement
  • Wheat and Barley Genetics and Pathology
  • Protein purification and stability
  • Calibration and Measurement Techniques
  • Advanced Statistical Methods and Models
  • Fatty Acid Research and Health
  • Infrared Target Detection Methodologies
  • Advanced Statistical Process Monitoring
  • Injection Molding Process and Properties
  • Soil Geostatistics and Mapping
  • Biodiesel Production and Applications
  • Computational Drug Discovery Methods
  • Advanced Control Systems Optimization

Duquesne University
2010-2022

GlaxoSmithKline (United States)
2015-2022

South College
2020-2022

Vertex Pharmaceuticals (United States)
2020-2021

Providence College
2019

Iowa State University
2007-2010

Soil testing requires the analysis of large numbers samples in laboratory that is often time consuming and expensive. Mid-infrared spectroscopy (mid-IR) near infrared (NIR) are fast, non-destructive inexpensive analytical methods have been used for soil analysis, field, to reduce need measurements using complex chemical/physical analyses. A comparison use spectral pretreatment as well implementation linear non-linear regression was performed. This study presents an overview prediction five...

10.1255/jnirs.883 article EN Journal of Near Infrared Spectroscopy 2010-01-01

Near-infrared spectroscopy (NIRS) is a valuable tool in the pharmaceutical industry, presenting opportunities for online analyses to achieve real-time assessment of intermediates and finished dosage forms. The purpose this work was investigate effect experimental designs on prediction performance quantitative models based NIRS using five-component formulation as model system. following were evaluated: five-level, full factorial (5-L FF); three-level, (3-L central composite; I-optimal;...

10.1366/12-06689 article EN Applied Spectroscopy 2012-12-01

Inline process analytical technology sensors are the key elements to enable continuous manufacturing. They facilitate real-time monitoring of critical quality attributes both intermediate materials and finished products. The aim this study was demonstrate method development validation for inline offline calibration strategies determine blend content during tablet compression via Raman spectroscopy. An principal component regression model developed from spectra collected in feed frame. At...

10.1021/acs.analchem.8b01009 article EN Analytical Chemistry 2018-06-15

Abstract The ability of five sample selection methods for local chemometrics and three variable algorithms were compared the development transfer whole soybeans protein oil near infrared prediction models. Two new based on a similarity index considering Euclidian distance among Fourier coefficients introduced tested against more common approaches (locally weighted regression, LOCAL). Genetic also challenged with models particle swarm optimization (PSO). A modification to original PSO model...

10.1002/cem.1274 article EN Journal of Chemometrics 2010-01-18

Quantitative analysis by near infrared (NIR) spectroscopy involves the establishment of relationship between spectra, related to both physical and chemical information a sample, corresponding parameter(s) interest. To make model useful robust, other sources variability, not directly element(s) predict should be included in calibration set. One potential variability is moisture. Raw materials may have different moisture levels as function manufacturing lots, geographic situation plant,...

10.1255/jnirs.1097 article EN Journal of Near Infrared Spectroscopy 2014-01-01

Polymorph detection is critical for ensuring pharmaceutical product quality in drug substances exhibiting polymorphism. Conventional analytical techniques such as X-ray powder diffraction and solid-state nuclear magnetic resonance are utilized primarily characterizing the presence identity of specific polymorphs a sample. These have encountered challenges analyzing constitution other components commonly found dosage forms. Laborious sample preparation procedures usually required to achieve...

10.1177/0003702817690407 article EN Applied Spectroscopy 2017-03-30

Process analytical technology (PAT) has shown great potential for in-line tableting process monitoring. The study focuses on the development and validation of an near-infrared (NIR) spectroscopic method determination content uniformity blends in a tablet feed frame. An NIR was developed after careful evaluation impact experimental factors robustness model accuracy precision. validated according to principles outlined International Conference Harmonization–Q2 procedures demonstrated be...

10.1177/0003702819842189 article EN Applied Spectroscopy 2019-04-16

ABSTRACT The use of near‐infrared spectroscopy (NIRS) for the prediction whole‐grain triticale moisture and protein content was evaluated. Because is genetically close to wheat, commercially available wheat models Foss Infratec analyzers were applied in a year‐by‐year basis samples harvested Iowa between 2002 2006. Wheat not applicable (SEP avg = 0.37% pt; expected SEP on 0.15% pt), but usable screening 0.38% 0.25% pt). Dedicated calibrations developed from 2005 data. Prediction results 2006...

10.1094/cchem-84-4-0328 article EN Cereal Chemistry 2007-07-01
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