# US 7,194,369 B2 · On-site analysis system with central processor and method of analyzing > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 7,194,369 B2 - Document ID: US7194369B2 - Status: Granted - Kind: B2 - Application number: 10/188,972 - Filed: 2002-07-05 - Published: 2003-08-14 - Granted: 2007-03-20 - Earliest claimed: 2001-07-23 - Assignees: Cognis Corporation - Inventors: Alan P. Lundstedt; Allen L. Hall; Ching-Hui Tseng - Web page: https://patentgrep.com/patent/US7194369B2 ## CPC - G01N 21/274: {Calibration, base line adjustment, drift correction} - G01N 21/359: using near infrared light - G01N 35/00712: {Automatic status testing, e.g. at start-up or periodic} - G01N 35/00871: {Communications between instruments or with remote terminals} - G01N 2035/00881: {network configurations} - G01N 2201/12753: and storage - G01N 2201/12792: Compensating own radiation in apparatus - G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q) ## Abstract A method of analysis, analysis system, program product, apparatus, and method of supplying analysis of value incorporating the use of at least one data acquisition device, a central processor, and a communication link that is connectable between the data acquisition device and the central processor. The central processor is loaded with multivariate calibration models developed for predicting values for various properties of interest, wherein the calibration models are capable of compensating for variations in an effectively comprehensive set of measurement conditions and secondary material characteristics. As so configured, the calibration models can compensate for instrument variance without instrument-specific calibration transfer. Measurement results generated by the central processor can be transmitted to an output device of a user interface. ## Claims ### Claim 1 A method for predicting a value of a property of interest of a material comprising: (1) transmitting data to a processor from at least one data acquisition device, which data is obtained from samples of the material; (2) processing the data using a calibration model configured to compensate for data acquisition device variance in predicting the value of the property of interest, without depending on knowledge of a particular data acquisition device, and providing an output including a predicted value of the property of interest of the material based on said processing step. ### Claim 2 (depends on 1) The method of claim 1 wherein the calibration model is also configured to compensate for sample variance. ### Claim 3 (depends on 2) The method of claim 2 wherein the calibration model is also configured to compensate for environmental variance. ### Claim 4 (depends on 3) The method of claim 3 wherein the calibration model is also configured to compensate for sample presentation variance. ### Claim 5 (depends on 4) The method of claim 4 wherein the data are transmitted over a communication link to a central processor. ### Claim 6 (depends on 5) The method of claim 5 wherein the data is acquired using a data acquisition device at a location remote from the central processor. ### Claim 7 (depends on 5) The method of claim 5 wherein the calibration model is configured to compensate for variance in more than one data acquisition device connectable to the central processor by the communication link. ### Claim 8 (depends on 5) The method of claim 5 further comprising pretreating the data after transmission over the communication link. ### Claim 9 (depends on 5) The method of claim 5 wherein the data are pretreated with a refined filter after transmission over a communication link. ### Claim 10 (depends on 9) The method of claim 9 wherein the data are pre-processed. ### Claim 11 (depends on 4) The method of claim 4 further comprising pretreating the data. ### Claim 12 (depends on 4) The method of claim 4 further comprising pre-processing the data. ### Claim 13 (depends on 4) The method of claim 4 wherein the data are pretreated with a refined filter. ### Claim 14 (depends on 13) The method of claim 13 wherein the data are pre-processed. ### Claim 15 (depends on 4) The method of claim 4 wherein the data are the result from electromagnetic radiation detected from the sample. ### Claim 16 (depends on 2) The method of claim 2 wherein the calibration model is also configured to compensate for sample presentation variance. ### Claim 17 (depends on 1) The method of claim 1 wherein the calibration model is also configured to compensate for environmental variance. ### Claim 18 (depends on 1) The method of claim 1 wherein the calibration model is also configured to compensate for sample presentation variance. ### Claim 19 (depends on 1) The method of claim 1 wherein the calibration model is configured to compensate for variations in orientation of an excitation source relative to the sample. ### Claim 20 (depends on 1) The method of claim 1 wherein the calibration model is configured to compensate for variations in age of an excitation source. ### Claim 21 (depends on 1) The method of claim 1 wherein the calibration model is configured to compensate for variations in mechanical alignment of optical components in the data acquisition device. ### Claim 22 (depends on 1) The method of claim 1 wherein the calibration model is configured to compensate for variations in output of a detector. ### Claim 23 (depends on 1) The method of claim 1 wherein the calibration model is configured to compensate for variations in output of an excitation source. ### Claim 24 (depends on 1) The method of claim 1 wherein the calibration model is configured to compensate for variations in transmission of a data acquisition probe. ### Claim 25 (depends on 1) The method of claim 1 wherein the data are transmitted over a communication link to a central processor. ### Claim 26 (depends on 25) The method of claim 25 wherein the data is acquired using a data acquisition device at a location remote from the central processor. ### Claim 27 (depends on 25) The method of claim 25 wherein the calibration model is configured to compensate for variance in more than one data acquisition device connectable to the central processor by the communication link. ### Claim 28 (depends on 25) The method of claim 25 further comprising pretreating the data after transmission over the communication link. ### Claim 29 (depends on 25) The method of claim 25 wherein the data are pretreated with a refined filter after transmission over a communication link. ### Claim 30 (depends on 29) The method of claim 29 wherein the data are pre-processed. ### Claim 31 (depends on 25) The method of claim 25 further comprising transmitting a predicted value from the central processor to at least one user interface. ### Claim 32 (depends on 25) The method of claim 25 further comprising transmitting a predicted value to a user interface in the vicinity of the data acquisition device. ### Claim 33 (depends on 1) The method of claim 1 further comprising pretreating the data. ### Claim 34 (depends on 1) The method of claim 1 further comprising pre-processing the data. ### Claim 35 (depends on 34) The method of claim 34 wherein the preprocessing uses a background spectrum. ### Claim 36 (depends on 35) The method of claim 35 wherein the background spectrum is acquired from a single data acquisition device. ### Claim 37 (depends on 36) The method of claim 36 wherein the background spectrum is stored at a location, and is used to generate more than one predicted value of a property of interest using the data acquisition device. ### Claim 38 (depends on 37) The method of claim 37 wherein the background spectrum is stored in a local processor connected to the data acquisition device. ### Claim 39 (depends on 37) The method of claim 37 wherein the background spectrum is stored in the central processor. ### Claim 40 (depends on 37) The method of claim 37 wherein the background spectrum is stored at a location remote from the data acquisition device, and connected to the data acquisition device by a communication link. ### Claim 41 (depends on 35) The method of claim 35 wherein the background spectrum is generated from an accumulation of background spectra acquired from one or more data acquisition devices. ### Claim 42 (depends on 41) The method of claim 41 wherein the background spectrum is stored at a location, and is used to generate more than one predicted value of a property of interest using the data acquisition device. ### Claim 43 (depends on 1) The method of claim 1 wherein the data are pretreated with a refined filter. ### Claim 44 (depends on 43) The method of claim 43 wherein the data are pre-processed. ### Claim 45 (depends on 1) The method of claim 1 wherein the data are the result from electromagnetic radiation detected from the sample. ### Claim 46 (depends on 45) The method of claim 45 wherein the data are pre-processed. ### Claim 47 (depends on 45) The method of claim 45 wherein the data are pm-processed using Fourier transformation. ### Claim 48 (depends on 1) The method of claim 1 wherein the data are the result of non-stimulated emission radiation detected from the sample. ### Claim 49 (depends on 1) The method of claim 1 wherein the data are the result from the sample being subjected to mass spectrometry. ### Claim 50 (depends on 1) The method of claim 1 wherein the data are the result from the sample being subjected to chromatography. ### Claim 51 (depends on 1) The method of claim 1 wherein the data are an accumulation of individual repetitive runs. ### Claim 52 (depends on 51) The method of claim 51 wherein the data are pre-processed. ### Claim 53 (depends on 1) The method of claim 1 wherein at least one probable outlier is used in connection with updating the calibration model. ### Claim 54 (depends on 53) The method of claim 53 wherein the outtler is good. ### Claim 55 (depends on 1) The method of claim 1 wherein at least one probable outlier detected from one data acquisition device is used in connection with updating the calibration model for all data acquisition devices using the calibration model. ### Claim 56 (depends on 55) The method of claim 55 wherein the outlier is good. ### Claim 57 (depends on 1) The method of claim 1 wherein the calibration model is configured to compensate for non-quantified instrument variance. ### Claim 58 (depends on 1) The method of claim 1 wherein the calibration model is also configured to compensate for non-quantified sample variance. ### Claim 59 (depends on 58) The method of claim 58 wherein the calibration model is also configured to compensate for non-quantified environmental variance. ### Claim 60 (depends on 59) The method of claim 59 wherein the calibration model is also configured to compensate for non-quantified sample presentation variance. ### Claim 61 (depends on 58) The method of claim 58 wherein the calibration model is also configured to compensate for non-quantified sample presentation variance. ### Claim 62 (depends on 1) The method of claim 1 wherein the calibration model is also configured to compensate far non-quantified environmental variance. ### Claim 63 (depends on 1) The method of claim 1 wherein the calibration model is also configured to compensate for non-quantified sample presentation variance. ### Claim 64 (depends on 1) The method of claim 1 wherein the calibration model is configured to compensate for non-quantified variations in orientation of an excitation source relative to the sample. ### Claim 65 (depends on 1) The method of claim 1 wherein the calibration model is configured to compensate for non-quantified variations in age of an excitation source. ### Claim 66 (depends on 1) The method of claim 1 wherein the calibration model is configured to compensate for non-quantified variations in mechanical alignment of optical components in the data acquisition device. ### Claim 67 (depends on 1) The method of claim 1 wherein the calibration model is configured to compensate for non-quantified variations in the output of a detector. ### Claim 68 (depends on 1) The method of claim 1 wherein the calibration model is configured to compensate for non-quantified variations in the output of an excitation source. ### Claim 69 (depends on 1) The method of claim 1 wherein the calibration model is configured to compensate for non-quantified variations in transmission of a data acquisition probe. ### Claim 70 (depends on 1) The method of claim 1 wherein at least a portion of the measurement data is stored in a database of the central processor. ### Claim 71 (depends on 1) The method of claim 1 wherein at least a portion of the measurement results is stored in a database of the central processor. ### Claim 72 (depends on 1) The method of claim 1 wherein two or more measurement results acquired from at least one data acquisition device are transmitted to at least one user interface as aggregated results. ### Claim 73 (depends on 1) The method of claim 1 wherein parameters defining a calibration model are transmitted from a central processor along a communication link to a local processor. ### Claim 74 (depends on 73) The method of claim 73 wherein the parameters defining the calibration model are transmitted to the local processor of at least one data acquisition device remote from the central processor. ### Claim 75 (depends on 1) The method of claim 1 wherein parameters defining a property model are transmitted from a central processor along a communication link to a local processor. ### Claim 76 (depends on 75) The method of claim 75 wherein the parameters defining the calibration model are transmitted to the local processor of at least one data acquisition device remote from the central processor. ### Claim 77 A system for analyzing a material by predicting a value of a property of interest of the material comprising: (1) at least one data acquisition device for obtaining data on a sample of the material; and (2) a central processor, connectable to the data acquisition device over a communication link, the central processor adapted to provide an output including a predicted value of the property of interest of the material, and loaded with a calibration model configured to compensate for data acquisition device variance in predicting the value of the property of interest without knowledge of a particular data acquisition device. ### Claim 78 (depends on 77) The system of claim 77 further comprising a local processor to receive predicted values generated by said central processor for the property of interest. ### Claim 79 (depends on 78) The system of claim 78 wherein the local processor outputs the predicted values for the property of interest to a user interface. ### Claim 80 (depends on 78) The system of claim 78 wherein the local processor is configured to pre-process the data. ### Claim 81 (depends on 78) The system of claim 78 wherein the local processor is configured to pretreat the data with a refined filter. ### Claim 82 (depends on 78) The system of claim 78 wherein a user interface is located in the vicinity of the data acquisition device. ### Claim 83 (depends on 78) The system of claim 78 wherein the data acquisition device is in a location geographically removed from the central processor. ### Claim 84 (depends on 78) The system of claim 78 wherein the data acquisition device includes a local processor for pre-processing the data prior to transmitting the data to the central processor. ### Claim 85 (depends on 78) The system of claim 78 wherein the communication link is an internet connection. ### Claim 86 (depends on 78) The system of claim 78 wherein the communication link is a private link. ### Claim 87 (depends on 78) The system of claim 78 wherein the central processor is configured to pretreat the data. ### Claim 88 (depends on 78) The system of claim 78 wherein the central processor is configured to pretreat the data with a refined filter. ### Claim 89 (depends on 78) The system of claim 78 wherein the communication link is a combination of public and private links. ### Claim 90 (depends on 77) The system of claim 77 wherein a user interface is located in the vicinity of the data acquisition device. ### Claim 91 (depends on 77) The system of claim 77 wherein the data acquisition device is in a location geographically removed from the central processor. ### Claim 92 (depends on 77) The system of claim 77 wherein the data acquisition device includes a local processor for pre-processing the date prior to transmitting the data to the central processor. ### Claim 93 (depends on 77) The system of claim 77 wherein the communication link is an Internet connection. ### Claim 94 (depends on 77) The system of claim 77 wherein the communication link is a private link. ### Claim 95 (depends on 77) The system of claim 77 wherein the central processor is configured to pretreat the data. ### Claim 96 (depends on 77) The system of claim 77 wherein the central processor is configured to pretreat the data with a refined filter. ### Claim 97 (depends on 77) The system of claim 77 wherein the communication link is a combination of public and private links. ### Claim 98 A method for predicting a value of a property of interest of a material comprising: (1) transmitting data to a processor from at least one data acquisition device, which data is obtained from samples of the material; and (2) processing the data using a calibration model configured to compensate for data acquisition device variance in predicting the value of the property of interest without having to develop individual calibrations for each data acquisition device, use data acquisition device corrections or calibration transfer methods to provide predicted values, and providing an output including one or more predicted values of the property of interest of the material based on said processing step. ### Claim 99 (depends on 98) The method of claim 98 wherein the calibration model is also configured to compensate for environmental variance. ### Claim 100 (depends on 99) The method of claim 99 wherein the calibration model is also configured to compensate for sample variance. ### Claim 101 (depends on 100) The method of claim 100 wherein the calibration model is also configured to compensate for sample presentation variance. ### Claim 102 (depends on 101) The method of claim 101 wherein the data are transmitted over a communication link to a central processor. ### Claim 103 (depends on 102) The method of claim 102 wherein the data is acquired using a data acquisition device at a location remote from the central processor. ### Claim 104 (depends on 102) The method of claim 102 wherein the calibration model is configured to compensate for variance in more than one data acquisition device connectable to the central processor by the communication link. ### Claim 105 (depends on 102) The method of claim 102 further comprising pretreating the data after transmission over the communication link. ### Claim 106 (depends on 102) The method of claim 102 wherein the data are pretreated with a refined filter after transmission over a communication link. ### Claim 107 (depends on 106) The method of claim 106 wherein the data are pre-processed. ### Claim 108 (depends on 102) The method of claim 102 wherein the data are the result from electromagnetic radiation detected from the sample. ### Claim 109 (depends on 101) The method of claim 101 further comprising pretreating the data. ### Claim 110 (depends on 101) The method of claim 101 further comprising pre-processing the data. ### Claim 111 (depends on 101) The method of claim 101 wherein the data are pretreated with a refined filter. ### Claim 112 (depends on 111) The method of claim 111 wherein the data are pre-processed. ### Claim 113 (depends on 99) The method of claim 99 wherein the calibration model is also configured to compensate for sample presentation variance. ### Claim 114 (depends on 98) The method of claim 98 wherein the calibration model is also configured to compensate for environmental variance. ### Claim 115 (depends on 98) The method of claim 98 wherein the calibration model is also configured to compensate for sample presentation variance. ### Claim 116 (depends on 98) The method of claim 98 wherein the calibration model is configured to compensate for variations in orientation of an excitation source relative to the sample. ### Claim 117 (depends on 98) The method of claim 98 wherein the calibration model is configured to compensate for variations in age of an excitation source. ### Claim 118 (depends on 98) The method of claim 98 wherein the calibration model is configured to compensate for variations in mechanical alignment of optical components in the data acquisition device. ### Claim 119 (depends on 98) The method of claim 98 wherein the calibration model is configured to compensate for variations in output of a detector. ### Claim 120 (depends on 98) The method of claim 98 wherein the calibration model is configured to compensate for variations in output of an excitation source. ### Claim 121 (depends on 98) The method of claim 98 wherein the calibration model is configured to compensate for variations in transmission of a data acquisition probe. ### Claim 122 (depends on 98) The method of claim 98 wherein the data are transmitted over a communication link to a central processor. ### Claim 123 (depends on 122) The method of claim 122 wherein the data is acquired using a data acquisition device at a location remote from the central processor. ### Claim 124 (depends on 123) The method of claim 123 wherein the calibration model is configured to compensate for variance in more than one data acquisition device connectable to the central processor by the communication link. ### Claim 125 (depends on 122) The method of claim 122 further comprising pretreating the data after transmission over the communication link. ### Claim 126 (depends on 122) The method of claim 122 wherein the data are pretreated with a refined filter after transmission over a communication link. ### Claim 127 (depends on 126) The method of claim 126 wherein the data are pre-processed. ### Claim 128 (depends on 122) The method of claim 122 further comprising transmitting a predicted value from the central processor to at least one user interface. ### Claim 129 (depends on 122) The method of claim 122 further comprising transmitting a predicted value to a user interface in the vicinity of the data acquisition device. ### Claim 130 (depends on 98) The method of claim 98 further comprising pretreating the data. ### Claim 131 (depends on 98) The method of claim 98 further comprising pre-processing the data. ### Claim 132 (depends on 131) The method of claim 131 wherein the preprocessing uses a background spectrum. ### Claim 133 (depends on 132) The method of claim 132 wherein the background spectrum is acquired from a single data acquisition device. ### Claim 134 (depends on 133) The method of claim 133 wherein the background spectrum is stored at a location, and is used to generate more than one predicted value of a property of interest using the data acquisition device. ### Claim 135 (depends on 134) The method of claim 134 wherein the background spectrum is stored in a local processor connected to the data acquisition device. ### Claim 136 (depends on 134) The method of claim 134 wherein the background spectrum is stored in the central processor. ### Claim 137 (depends on 134) The method of claim 134 wherein the background spectrum is stored at a location remote from the data acquisition device, and connected to the data acquisition device by a communication link. ### Claim 138 (depends on 132) The method of claim 132 wherein the background spectrum is generated from an accumulation of background spectra acquired from one or more data acquisition devices. ### Claim 139 (depends on 138) The method of claim 138 wherein the background spectrum is stored at a location, and is used to generate more than one predicted value of a property of interest using the data acquisition device. ### Claim 140 (depends on 98) The method of claim 98 wherein the data are pretreated with a refined filter. ### Claim 141 (depends on 140) The method of claim 140 wherein the data are pre-processed. ### Claim 142 (depends on 98) The method of claim 98 wherein the data are the result from electromagnetic radiation detected from the sample. ### Claim 143 (depends on 142) The method of claim 142 wherein the data are pre-processed. ### Claim 144 (depends on 142) The method of claim 142 wherein the data are pre-processed using Fourier transformation. ### Claim 145 (depends on 98) The method of claim 98 wherein the data are the result of non-stimulated emission radiation detected from the sample. ### Claim 146 (depends on 98) The method of claim 98 wherein the data are the result from the sample being subjected to mass spectrometry. ### Claim 147 (depends on 98) The method of claim 98 wherein the data are the result from the sample being subjected to chromatography. ### Claim 148 (depends on 98) The method of claim 98 wherein the data are an accumulation of individual repetitive runs. ### Claim 149 (depends on 148) The method of claim 148 wherein the data are pre-processed. ### Claim 150 (depends on 98) The method of claim 98 wherein at least one probable outlier is used in connection with updating the calibration model. ### Claim 151 (depends on 150) The method of claim 150 wherein the outlier is good. ### Claim 152 (depends on 98) The method of claim 98 wherein at least one probable outlier detected from one data acquisition device is used in connection with updating the calibration model for all data acquisition devices using the calibration model. ### Claim 153 (depends on 152) The method of claim 152 wherein the outlier is good. ### Claim 154 (depends on 98) The method of claim 98 wherein the calibration model is configured to compensate for non-quantified instrument variance. ### Claim 155 (depends on 98) The method of claim 98 wherein the calibration model is also configured to compensate for non-quantified sample variance. ### Claim 156 (depends on 155) The method of claim 155 wherein the calibration model is also configured to compensate for non-quantified environmental variance. ### Claim 157 (depends on 156) The method of claim 156 wherein the calibration model is also configured to compensate for non-quantified sample presentation variance. ### Claim 158 (depends on 155) The method of claim 155 wherein the calibration model is also configured to compensate for non-quantified sample presentation variance. ### Claim 159 (depends on 98) The method of claim 98 wherein the calibration model is also configured to compensate for non-quantified environmental variance. ### Claim 160 (depends on 98) The method of claim 98 wherein the calibration model is also configured to compensate for non-quantified sample presentation variance. ### Claim 161 (depends on 98) The method of claim 98 wherein the calibration model is configured to compensate for non-quantified variations in orientation of an excitation source relative to the sample. ### Claim 162 (depends on 98) The method of claim 98 wherein the calibration model is configured to compensate for non-quantified variations in age of an excitation source. ### Claim 163 (depends on 98) The method of claim 98 wherein the calibration model is configured to compensate for non-quantified variations in mechanical alignment of optical components in the data acquisition device. ### Claim 164 (depends on 98) The method of claim 98 wherein the calibration model is configured to compensate for non-quantified variations in the output of a detector. ### Claim 165 (depends on 98) The method of claim 98 wherein the calibration model is configured to compensate for non-quantified variations in the output of an excitation source. ### Claim 166 (depends on 98) The method of claim 98 wherein the calibration model is configured to compensate for non-quantified variations in transmission of a data acquisition probe. ### Claim 167 (depends on 98) The method of claim 98 wherein at least a portion of the measurement data is stored in a database of the central processor. ### Claim 168 (depends on 98) The method of claim 98 wherein at least a portion of the measurement results is stored in a database of the central processor. ### Claim 169 (depends on 98) The method of claim 98 wherein two or more measurement results acquired from at least one data acquisition device are transmitted to at least one user interface as aggregated results. ### Claim 170 (depends on 98) The method of claim 98 wherein parameters defining a calibration model are transmitted from a central processor along a communication link to a local processor. ### Claim 171 (depends on 170) The method of claim 170 wherein the parameters defining the calibration model are transmitted to the local processor of at least one data acquisition device remote from the central processor. ### Claim 172 (depends on 98) The method of claim 98 wherein parameters defining a property model are transmitted from a central processor along a communication link to a local processor. ### Claim 173 (depends on 172) The method of claim 172 wherein the parameters defining the calibration model are transmitted to the local processor of at least one data acquisition device remote from the central processor. ### Claim 174 A system for analyzing a material by predicting a value of a property of interest of the material comprising: (1) at least one data acquisition device for obtaining data an a sample of the material; and (2) a central processor connectable to the data acquisition device over a communication link, the central processor adapted to provide an output including one or more predicted values of the property of interest of the material, and loaded with a calibration model configured to compensate for data acquisition device variance in predicting the value of the property of interest without having to develop individual calibration for each data acquisition device, use data acquisition device corrections or calibration transfer methods to provide the predicted values. ### Claim 175 (depends on 174) The system of claim 174 further comprising a local processor to receive the predicted values generated by said central processor for the property of interest. ### Claim 176 (depends on 175) The system of claim 175 wherein the local processor outputs the predicted values for the property of interest to a user interface.