Pittcon Review, Appendix XI: Terahertz
Additional information from the terahertz section of the Pittcon Review article.
Manufacturer: Advantest Corporation
Product name: TAS7500
Terahertz (THz) spectroscopy/imaging analysis system
For: Lab analysis
New this year: Entirely new product, consisting of two models, spectroscopic and imaging, designed specifically for pharmaceutical analysis.
Suggested applications: Effective 2D/3D analysis of polymorphic crystalline structures, tablet coatings, tablet densities
Primary benefits: Rapid, non-destructive imaging and analysis of pharmaceutical samples in liquid or solid state. Proprietary THZ optical sampling technology enables higher-speed, more stable and repeatable measurements that deliver improved quality, increased productivity, and lower costs.
Unique features: Configurable and compact bench-top design
Manufacturer: Applied Research & Photonics
Product name: Terahertz scanning reflectometer
High sensitivity terahertz scanning reflectometer
For: Laboratory analysis
Portable: 12 X 12 X 10 in.
Measurement mode: Reflection
Special accessorydescription: Comes with PC and analysis software. Sample chamber included.
Special features: Capable of measuring solid, liquid, and gasous samples
Suggested applications: Transdermal drug delivery, permeation kinetics of analytes in to tissue or other substrates, direct measurement of diffusion kinetics and concentration gradient.
Primary benefits: Capable of measuring permeation kinetics and diffusion concentration gradient in a noninvasive and nondestructive (in situ) fashion.
Unique features: No consumables, long life, and virtually maintenance free operation
AI and Dual-Sensor Spectroscopy Supercharge Antibiotic Fermentation
June 30th 2025Researchers from Chinese universities have developed an AI-powered platform that combines near-infrared (NIR) and Raman spectroscopy for real-time monitoring and control of antibiotic production, boosting efficiency by over 30%.
Toward a Generalizable Model of Diffuse Reflectance in Particulate Systems
June 30th 2025This tutorial examines the modeling of diffuse reflectance (DR) in complex particulate samples, such as powders and granular solids. Traditional theoretical frameworks like empirical absorbance, Kubelka-Munk, radiative transfer theory (RTT), and the Hapke model are presented in standard and matrix notation where applicable. Their advantages and limitations are highlighted, particularly for heterogeneous particle size distributions and real-world variations in the optical properties of particulate samples. Hybrid and emerging computational strategies, including Monte Carlo methods, full-wave numerical solvers, and machine learning (ML) models, are evaluated for their potential to produce more generalizable prediction models.
