Abstract: The invention pertains to the use of sophisticated chemical formulation and spectroscopic design methods to select taggants compatible with the 3D print medium that are easily detected spectroscopically but otherwise compatible with the product, structural integrity and stability, and aesthetics. A spectral pattern employs a different chemical or combination of chemicals to alter the formulation of all or some portion of the printed object so that its authenticity can be monitored later using a spectrometer.

Abstract: The invention pertains to the use of sophisticated chemical formulation and spectroscopic design methods to select taggants compatible with the 3D print medium that are easily detected spectroscopically but otherwise compatible with the product, structural integrity and stability, and aesthetics. A spectral pattern employs a different chemical or combination of chemicals to alter the formulation of all or some portion of the printed object so that its authenticity can be monitored later using a spectrometer.

Abstract: The invention pertains to the use of sophisticated chemical formulation and spectroscopic design methods to select taggants compatible with the 3D print medium that are easily detected spectroscopically but otherwise compatible with the product, structural integrity and stability, and aesthetics. A spectral pattern employs a different chemical or combination of chemicals to alter the formulation of all or some portion of the printed object so that its authenticity can be monitored later using a spectrometer.

Abstract: The invention pertains to the use of sophisticated chemical formulation and spectroscopic design methods to select taggants compatible with the 3D print medium that are easily detected spectroscopically but otherwise compatible with the product, structural integrity and stability, and aesthetics. A spectral pattern employs a different chemical or combination of chemicals to alter the formulation of all or some portion of the printed object so that its authenticity can be monitored later using a spectrometer.

Abstract: Multisource fusion of data is used on a handheld device to create a portable analytical verifier, including the ability to verify based on product wrapping or using a returned code to check the product or wrapping. Data words are extracted from authentication media by testing to see whether particular taggants are present, using spectroscopic analysis.

Abstract: Multisource fusion of data is used on a handheld device to create a portable analytical verifier, including the ability to verify based on product wrapping or using a re-turned code to check the product or wrapping. Data words are extracted from authentication media by testing to see whether particular taggants are present, using spectroscopic analysis.

Abstract: Multisource fusion of data is used on a handheld device to create a portable analytical verifier, including the ability to verify based on product wrapping or using a re-turned code to check the product or wrapping. Data words are extracted from authentication media by testing to see whether particular taggants are present, using spectroscopic analysis.

Abstract: A mechanical latch (14) for preventing damage to a cable passing through an aperture is disclosed. The mechanical latch comprises a housing (42) adapted to be inserted into an aperture in a first direction and having an internal bore (43) for allowing movement of a cable therethrough. Latch fingers (46) protrude from the housing for engaging an edge of the aperture to prevent removal of the housing from the aperture in a second direction, opposite to the first direction, after insertion of the housing into the aperture in said the direction, to prevent the cable from engaging the edge of the aperture.

Abstract: A blending apparatus comprises a blender including a container having a wall, the wall including a window. The container rotates about an axis of rotation. A wireless spectrometer is mounted to the container and operates through the window, in a direction that does not intersect the axis of rotation, for obtaining a set of spectroscopic data regarding the product during an operation of the blender. In addition, a method for assaying a blended product in a blender includes mounting a wireless spectrometer to the container, rotating the container about its axis of rotation so as to blend the product; operating the wireless spectrometer through a window in the container, in a direction that does not intersect the axis of rotation, to obtain spectroscopic data regarding the product during the blending, and determining a homogeneity of the product from the spectroscopic data.

Abstract: An apparatus for detecting the homogeneity of a pharmaceutical mixture has a hopper for containing a mixture of two or more pharmaceutical components and that is situated within a production line of preparation of a pharmaceutical dosage form. A spectroscope is mounted to the hopper for measuring spectroscopic characteristics of the mixture, and a processing device that is not physically coupled to the spectroscope analyzes the spectroscopic characteristics of the mixture and derives information regarding the homogeneity of the mixture. The spectroscope wirelessly sends the spectroscopic characteristics to the processing device, which derives information regarding the homogeneity of the mixture. The wireless transmission of the spectroscopic characteristics can be done through infrared radiation or near infrared radiation, and the spectroscopic characteristics can be converted to digital signals prior to being transmitted.

Abstract: A system for predicting blood glucose values in a patient includes a remote wireless non-invasive spectral device, the remote wireless non-invasive spectral device generating a spectral scan of a body part of the patient. Also included are a remote invasive device and a central processing device. The remote invasive device generates a constituent value for the patient, while the central processing device predicts a blood glucose value for the patient based upon the spectral scan and the constituent value.

Abstract: A system for predicting blood constituent values in a patient includes a remote wireless non-invasive spectral device, the remote wireless non-invasive spectral device generating a spectral scan of a body part of the patient. Also included are a remote invasive device and a central processing device. The remote invasive device generates a constituent value for the patient, while the central processing device predicts a blood constituent value for the patient based upon the spectral scan and the constituent value.

Abstract: An automated method for modeling spectral data includes accessing a set of spectral data, corresponding to each of a plurality of samples, each set having associated therewith at least one independently measured constituent value (201).Data transforms are applied to the set of spectral data to generate, for each sample, a set of transformed and untransformed spectral data, which with its associated constituent values, is divided into a calibration sub-set (231) and a validation sub-set (232). One or more of a partial least squares, principal component regression, neural net, or a multiple linear regression analysis is applied to the calibration data sub-sets to obtain corresponding modeling equations for predicting the target substance amount in a sample. The modeling equation with the best correlation between the spectral data in the validation sub-set and the corresponding constituent values in the validation sub-set is identified, preferably as a function of the SEE and SEP.

Abstract: A blending apparatus comprises a blender including a container having a wall, the wall including a window. The container rotates about an axis of rotation. A wireless spectrometer is mounted to the container and operates through the window, in a direction that does not intersect the axis of rotation, for obtaining a set of spectroscopic data regarding the product during an operation of the blender. In addition, a method for assaying a blended product in a blender includes mounting a wireless spectrometer to the container, rotating the container about its axis of rotation so as to blend the product; operating the wireless spectrometer through a window in the container, in a direction that does not intersect the axis of rotation, to obtain spectroscopic data regarding the product during the blending, and determining a homogeneity of the product from the spectroscopic data.

Abstract: An apparatus for detecting the homogeneity of a pharmaceutical mixture has a hopper for containing a mixture of two or more pharmaceutical components and that is situated within a production line of preparation of a pharmaceutical dosage form. A spectroscope is mounted to the hopper for measuring spectroscopic characteristics of the mixture, and a processing device that is not physically coupled to the spectroscope analyzes the spectroscopic characteristics of the mixture and derives information regarding the homogeneity of the mixture. The spectroscope wirelessly sends the spectroscopic characteristics to the processing device, which derives information regarding the homogeneity of the mixture. The wireless transmission of the spectroscopic characteristics can be done through infrared radiation or near infrared radiation, and the spectroscopic characteristics can be converted to digital signals prior to being transmitted.

Abstract: An automated method for modeling spectral data is provided, wherein the spectral data generated by one of diffuse reflectance, clear transmission, or diffuse transmission. The method includes accessing a set of spectral data, the set of spectral data including, corresponding spectral data for each of a plurality of samples, the spectral data for each of the plurality of samples having associated therewith at least one constituent value, the at least one constituent value being a reference value for a target substance in the sample which is measured by a independent measurement technique. A plurality of data transforms are applied to the set of spectral data to generate, for each sample, a set of transformed and untransformed spectral data.