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This method-ready fuels analysis system provides everything you need to analyze samples to industry standards, following ASTM and EN methodology. Compact, robust, and completely transportable, samples can be run on the Spectrum Two either in the laboratory or out in the field.
Choose the Frontier™ range of Fourier Transform IR spectrometers for superior spectroscopic performance in demanding applications. Powerful and adaptable, the Frontier meets all your current analysis needs and can be expanded as your research goals evolve. An exceptional signal-to-noise ratio and photometric performance assures optimal spectral quality to ensure best-in-class sensitivity. This configurable platform provides dependable and consistent operation through years of service.
Choose the Frontier™ range of Fourier Transform IR spectrometers for superior spectroscopic performance in demanding applications. Powerful and adaptable, the Frontier meets all your current analysis needs and can be expanded as your research goals evolve. An exceptional signal-to-noise ratio and photometric performance assures optimal spectral quality to ensure best-in-class sensitivity. This configurable platform provides dependable and consistent operation through years of service.
The Biodiesel FT-IR FAME Analyzer is comprised of a Frontier™ FT-IR spectrometer, a UATR or HATR accessory, and Spectrum 10™ software configured specifically for biodiesel FAME (fatty acid methyl ester) analysis using the ASTM D7371-07 and EN 14078:2003 methodologies.
Reduce the burden of compliance with the Spectrum Two™ Pharmaceutical System, and benefit from fast and easy analyses.
Choose the Frontier™ range of Fourier Transform IR spectrometers for superior spectroscopic performance in demanding applications. Powerful and adaptable, the Frontier meets all your current analysis needs and can be expanded as your research goals evolve. An exceptional signal-to-noise ratio and photometric performance assures optimal spectral quality to ensure best-in-class sensitivity. This configurable platform provides dependable and consistent operation through years of service.
The method-ready In-Service Lubricants Analysis System provides everything you need to analyze samples to industry standards, following ASTM and JOAP methodology. Remarkably easy to use, you can be confident in generating consistent quality spectra.
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The OilExpress 4 system adapts to your laboratory’s needs, from dozens to thousands of samples per day. Its modular design makes it possible to scale up your sample throughput or separately utilize the oil dilution capabilities in busy laboratories that are using ICP analysis. The system minimizes your operational costs by reducing instrument downtime, increasing throughput to reduce cost per sample, and offering significant savings from decreased solvent waste.
Designed specifically to meet the requirements of the Caterpillar® S.O.SSM program, the JOAP program, and the new ASTM® Methods D7412, D7414, D7415, D7418, Spectrum™ OilExpress is the fastest, most cost-effective Oil Condition Monitoring (OCM) solution for busy test laboratories. OilExpress also uses less than half the solvent required by competing systems, dramatically reducing day-to-day operating costs and making laboratories more competitive.
Infrared (IR) and near-infrared (NIR) spectroscopy are fast, easy-to-use techniques with a history of being used for food applications such as those for measuring protein, moisture, and fat content. Food fraud and adulteration has become of particular concern to the industry over the past few years following reports of incidents in the media, with herbs and spices identified as one of the key problem areas.
Biodiesel fuels are often blended compositions of diesel fuel and esterified soybean oils, rapeseed oils, or other potential vegetable oils as well as fats. The physical and combustion properties of these biofuels have allowed them to achieve similar performance to diesel fuel. However, there are several characteristics that are of concern. These differences, especially the cetane reduction, require that adequate control of the biofuel concentration be implemented.
Herbal lifestyle products are widely used as alternatives to medicines around the world, with as many as 80% of people using them as a primary source of healthcare in developing countries. These treatments are commonly regarded by scientific papers, and on some occasions the media, as being inferior to orthodox treatment. This is due to the variation between herbal formulations which will not be present in so called ‘single-chemical’ drugs. The reasons for the aforementioned variation involve several factors including storage, environmental conditions, handling and unintentional or intentional contamination (adulteration).
The intensifying global emphasis on developing sustainable fuel supplies has led to increasing use of fuels derived from biological sources. In this note we show that the Spectrum Two™ FT-IR spectrometer (Figure 1) can be used to develop a quantitative method with sufficient sensitivity to meet the required detection limits for methanol, water, C3–C5 alcohols and gasoline denaturant, while requiring less than two minutes of analysis time per sample.
Cavity-enhanced absorption spectroscopy (CEAS) has similarities with the better known cavity ringdown technique (CRDS) which measures the signal decay as a laser pulse emerges through one of the mirrors after successive reflections. By measuring the increase in the rate of decay caused by an absorbing species, CRDS can measure ppb concentrations of small molecules. The ringdown technique has typically been applied to small molecules where the wavelength of a NIR laser source can be tuned across very narrow individual lines of the spectra. In contrast this report describes CEAS using a broadband source applied to larger molecules where the spectra are broader.
Olive oil is an increasingly popular food product worldwide, with global production exceeding 3.0 million tons in 2011 and showing steady annual growth. Despite these huge volumes, however, margins are relatively small in olive oil production so quick and easy analysis of oil quality is vital to maintain process efficiency. Rapid, reliable analysis can contribute to process and quality improvements in numerous ways.
A gas chromatographic analysis of the extract can provide even greater sensitivity and more detailed compositional information, but further increases the time required for the analysis. Thermogravimetric analysis coupled to infrared spectroscopy (TG-IR) can provide detailed information about the amount and nature of the pollution, while requiring no sample preparation at all. This application note illustrates the kind of data that can be obtained with a modern TG-IR system.
Near-infrared (NIR) spectroscopy is an important technique for materials checking at various stages of the manufacturing process, but is particularly useful at the raw materials inspection stage. Raw materials come in a variety of physical forms including liquids, gels, and solids, requiring a versatile instrument with convenient, interchangeable sampling modules to cater to the entire range of raw materials encountered.
Infrared spectroscopy is particularly suitable for the identification of materials, even when the differences between the materials are subtle variations in complex mixtures. In this note we demonstrate that biodiesel from several common feedstocks can be distinguished on the basis of absorption bands arising from double bonds in the fatty acid chains.
NIR Spectroscopy is a useful technique for raw materials identification and verification, but the sophistication of the technique might differ based on the sample. If the materials to be identified are spectroscopically dissimilar, it is often only necessary to use a simple distance measure such as a spectral difference for identification. If the spectra are similar, on the other hand, it may be necessary to use more sophisticated techniques which take into consideration both the intra- and inter-material spectral variation for identification and classification. The SIMCA (Soft Independent Modelling of Class Analogy) algorithm, a Principal Component Analysis (PCA) method, provides such an example.