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Modern process analytical technologies (PAT), a recent initiative of the U.S. Food & Drug Administration, are helping to move pharmaceutical manufactures to more scientifically rigorous production monitoring standards. Bruker Optics has developed methods to use near-infrared (NIR) analysis to meet these standards, and in a recent white paper details how a MATRIX-F instrument can determine moisture/solvent content during the common practice of drying powder in a fluid bed.

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The U.S. Food & Drug Administration has been introducing manufacturing control practices that encourage pharmaceutical makers to move away from empirical standards. One example of this push for quantified process monitoring is crystallization, a process crucial in drug production. A Bruker Optics white paper describes how this can be done scientifically using a MATRIX-F spectrometer.

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The recent addition in recent years of focal plane array detectors to Fourier transform infrared (FT-IR) spectrometers has allowed the instrument to obtain much richer spectra, up to 16,000 pixels/spectra simultaneously. The heightened capabilities have positioned FT-IR to assume a greater role in a variety of laboratory imaging tasks traditionally reserve for conventional microscopes. A new white paper from Bruker Optics describes some of these applications.

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Proteins have become more important as active drugs in pharmaceuticals, such as therapeutic antibodies, and in the course of development the conformational changes of proteins and peptides must be determined. Typically, size-exclusion chromatography or circular dichroism spectroscopy is used for the prediction of the protein secondary structure, but, as described in a recent white paper from Bruker Optics, Fourier transform infrared (FT-IR) spectroscopy is much faster, acquiring information within one minute.

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Infrared spectroscopy has been used in combination with traditional microscopy for more than 25 years, but has always been extremely time-consuming, requiring hours to resolve a sample area less than one square millimeter. The addition of multi-element detectors, along with Fourier transform technology, as described in a recent Bruker Optics white paper, enables a detection to assess all points on an image simultaneously, saving considerable time.

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Labeling requirements for fats and oils under U.S. Food & Drug Administration guidelines are stringent. Values for iodine, free fatty acids, anisidine value, and even trans fatty acids are all mandatory. According to a recent white paper from Bruker Optics, the traditional analyses for these substances are designed for just one specific parameter and tend to be tedious. Near-infrared (NIR) spectrometry can identify multiple components with a single, fast measurement.

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High-performance liquid chromatography (HPLC) is the most widely used method for monitoring industrial-scale fermentation. But HPLC requires a lot of time, a high degree of skill, and can be expensive in the long-term. In addition, it can only analyze soluble components. Near-infrared (NIR) spectrometry, as detailed in a Bruker Optics white paper, can perform the same analysis with no waste and much greater speed.

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Because of both strict government specification and tax rates, distillers must be sure their finished products contain the correct alcohol content. Near-infrared (NIR) spectroscopy solutions from Bruker Optics, as detailed in a recent white paper, can ease this common bottleneck for laboratory analysis, which typically involves the time-consuming and potentially inaccurate density meter analyzer method.

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The largest expense to a distillery or a fuel ethanol plant, corn's value is highly contingent on its quality, especially with regard to moisture. However, the grain goes largely unmonitored through both industries. A new white paper from Bruker Optics details the steps by which near-infrared (NIR) spectroscopy can be used to quickly identify and verify moisture targets for corn grain, as well other important metrics such as oil content.

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International NIR Global Operating Technologies (INGOT) is a set of universal near-infrared (NIR) calibrations for the analysis of raw materials and finished products in the feed industry. A new white paper from Bruker Optics details how INGOT packages for Bruker's MPA and Matrix-I Fourier transform NIR (FT-NIR) spectrometers can be used to optimize recipes and account for parameters such as moisture, oil, protein, fiber, and ash.

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Building calibration data takes effort, which is why many laboratories stay with older monochromator-based near-infrared (NIR) instruments instead of upgrading to more accurate Fourier transform-based systems (FT-NIR). A recent white paper from Bruker Optics details the possibility of transferring old calibrations from a monochromator system to an FT-NIR system such as Bruker's MPA.

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Bruker Optics has published a method for on-line monitoring of edible fats and oils. Iodine value is important to these substances because it affects the viscosity and susceptibility to oxidation. Performed by a Fourier transform near-infrared spectrometer coupled with specially designed fiber optic probes, the methodology described in a recent Bruker Optics white paper speeds up analysis, reduces production down time, and achieves product consistency.

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Konrad Juethner, a software engineering consultant, recently used Windows HPC Server to run cluster-based analysis with COMSOL Multiphysics using the hardware he had available at home. His successful setup highlights a high level of accessibility for advanced supercomputing approaches.

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PerkinElmer technologists Andrew W. Salamon, Patrick Courtney and Ian Shuttler have authored a white paper that takes a comprehensive look at the quickly changing field of a engineered nanomaterials. They examine the materials now available, some of their potential applications, and the analytical instruments and techniques used to work with them.

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Ajinomoto Aminoscience has announced availability of a new white paper that outlines the common challenges associated with recombinant protein production and discusses how new expression systems are helping simplify the production process, reduce costs, and speed time to market.

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