Advancements in Low Cost Miniature NIR Spectrometers Enable New Applications in Product Analysis and Quality Control
Near-infrared spectroscopy (NIRS) is a powerful technique for rapid and nondestructive material analysis. Scientific breakthroughs over the past several decades have made NIRS one of the most powerful tools for research, especially in industries such as food and drug, chemical, oil and gas, and plastics. This technique has mainly been limited to nonportable applications due to instrument size, fragility, and cost.
Jason Pierce, StellarNet, Inc.
Near-infrared spectroscopy (NIRS) is a powerful technique for rapid and nondestructive material analysis. Scientific breakthroughs over the past several decades have made NIRS one of the most powerful tools for research, especially in industries such as food and drug, chemical, oil and gas, and plastics. This technique has mainly been limited to nonportable applications due to instrument size, fragility, and cost. Additionally, multivariate software for calibration and prediction must also be employed to extract results; however, user-friendly and cost effective solutions have not been widely available.
Recent advancements in instrument design, size, ruggedness, and cost-reduction, in addition to integration of a robust chemometrics software package, have led to new applications and implementations of NIRS. Here we present the miniature DWARF-Star NIR spectrometer (5 in. × 3 in. × 2 in.) easily predicting concentrations of dietary supplements, such as amino acids and natural products.
Experimental
The instrumentation used in this demonstration was an ultra-portable StellarNet DWARF-Star NIR spectrometer with an integrated 512 element InGaAs linear photodiode array covering the 900–1700 nm wavelength range. The unit was fiber optically coupled to a reflectance fixture with an internal Tungsten Halogen lamp. Reflectance spectra of pure components and mixtures of Glutamine, L-Arginine, and Creatine were collected and analyzed using the Eigenvector PLS toolbox®. Predictive calibration models were developed using the partial least square (PLS) regression method with several preprocessing techniques, such as multiplicative scatter correction (MSC), mean centering, and 1st derivative. StellarNet software for both LabVIEW and SpectraWiz allow for simple integration of the Eigenvector Solo Predictor to allow real-time statistical analysis and final result.
Results and Conclusion
Predictive calibration models for the three components were easily and quickly developed. R2 values greater than 0.94 and RMSEC values less than 6 weight percent were attained. Raw spectra, as well as a plot of the cross-validated predicted value vs. the actual value of L-Arginine are shown in Figure 1. Every application has acceptable values of uncertainty and error, therefore calibration models and experimental procedure must be optimized to meet specific requirements.
Figure 1: SpectraWiz software interface displaying raw NIR reflectance spectra of dietary supplement powders with inset multivariate calibration model.
Low cost, rugged, and miniature instruments like the DWARF-Star NIR spectrometer are revolutionizing NIRS, enabling new applications and implementation, such as portable and at-line product analysis and quality control never before attainable. In this demonstration quantitative analysis of multi-component mixtures of amino-acids and products would prove beneficial for supplement producers, suppliers, and distributors and would provide a means for low cost analysis and quality control.
Miniature NIR spectrometers offer flexible solutions for a broad range of new applications requiring portability and a small footprint. In the field, the monitoring of fresh produce for moisture and soluble solids will provide more information on ripening stages. And in the meat processing industry contaminants and disease can be reduced by utilizing NIR systems to inspect equipment. Likewise, the fuel and ethanol industry will be revolutionized by improving analysis methods for incoming grains for moisture, starch, and proteins. As scientific advancements over the past several decades have made NIRS one of the most powerful tools for scientific research, the advent of low cost, rugged, and portable NIR devices will provide solutions for a multitude of new applications.
StellarNet, Inc.
14390 Carlson Circle, Tampa, FL 33626
tel. (813) 855-8687, fax (813) 855-8687
Email: ContactUs@StellarNet.us, Website: www.StellarNet.us
Next-Generation Infrared Sensors: Innovations in Semiconductor Materials and Applications
February 19th 2025A recent study provides an in-depth overview of the latest advancements in infrared (IR) semiconductor sensor technology, highlighting new materials, enhanced detection capabilities, and expanding applications across industrial, medical, security, and environmental fields. The research explores how quantum dots, graphene, and novel nanomaterials are revolutionizing IR detection, paving the way for more efficient and versatile sensor systems.
FT-IR Microscopy, Part 2: Mid-IR Sampling with DRIFTS, IRRAS, and ATR
February 14th 2025Fourier transform infrared (FT-IR) microscopy using reflection methods (diffuse reflection, reflection/reflection-absorption, or attenuated total reflectance) typically requires less sample preparation than transmission. However, optimal results will depend upon the sample and, in particular, the sample surface.
Geographical Traceability of Millet by Mid-Infrared Spectroscopy and Feature Extraction
February 13th 2025The study developed an effective mid-infrared spectroscopic identification model, combining principal component analysis (PCA) and support vector machine (SVM), to accurately determine the geographical origin of five types of millet with a recognition accuracy of up to 99.2% for the training set and 98.3% for the prediction set.
