Progress 10/01/12 to 09/30/13
Outputs
Progress Report Objectives (from AD-416): To develop line-scan technology and design and construct macro-scale Raman chemical imaging instrumentation, and to develop methodology for macro-scale Raman imaging detection of contaminants and adulterants for food samples and food ingredients. Approach (from AD-416): Develop optical method to create laser-line illumination from a 785nm laser source. Implement Raman spectrograph with electron-multiplying charge-coupled device camera. Incorporate line laser and detector into a portable instrument for macro-scale Raman imaging of samples up to 10x20 cm in size. Develop computer programs for real-time data acquisition, data analysis, and classification. Perform system calibration/validation. Investigate contaminant and adulterant detection for food samples such as authentication of dry milk powder or other food ingredients, and detection of pesticide residues on fruits and leafy green vegetables. Raman chemical imaging was investigated for the detection and visualization of contaminants in dry milk powder, and Raman spectroscopy was investigated for quantitative assessment of contaminants in liquid milk samples. The contaminants used in this study were melamine, ammonium sulfate, dicyandiamide, and urea, which are chemicals that can dupe the standard nitrogen-testing method used to estimate protein content in foods. Milk-contaminant mixtures were prepared with contaminant concentrations between 0.2% and 10.0% in the dry milk powder samples, and between 0.04% and 10.0% in liquid milk samples. Raman chemical images of the dry samples were analyzed and used to create image maps that demonstrated the detection of the contaminants with visualization of the spatial distribution of the contaminant particles within the sample mixtures. Raman spectral analysis of the liquid samples showed linear relationships existing between Raman intensities and contaminant concentration, demonstrating the feasibility of quantitative assessment. Raman chemical imaging and spectroscopy techniques therefore may be considered promising methods for non-destructive screening of food ingredients for adulterants.
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Progress 10/01/11 to 09/30/12
Outputs
Progress Report Objectives (from AD-416): To develop line-scan technology and design and construct macro-scale Raman chemical imaging instrumentation, and to develop methodology for macro-scale Raman imaging detection of contaminants and adulterants for food samples and food ingredients. Approach (from AD-416): Develop optical method to create laser-line illumination from a 785nm laser source. Implement Raman spectrograph with electron-multiplying charge-coupled device camera. Incorporate line laser and detector into a portable instrument for macro-scale Raman imaging of samples up to 10x20 cm in size. Develop computer programs for real-time data acquisition, data analysis, and classification. Perform system calibration/validation. Investigate contaminant and adulterant detection for food samples such as authentication of dry milk powder or other food ingredients, and detection of pesticide residues on fruits and leafy green vegetables. A point-source Raman chemical imaging system was developed that uses a 785 nm spectrum-stabilized laser to generate Raman scattering that is then detected through the use of a fiber optic Raman probe, a reflection grating-based Raman imaging spectrometer, and a high performance spectroscopic CCD camera. The system demonstrated effective detection of a combination of four contaminants�ammonium sulfate, dicyandiamide, melamine, and urea�mixed together with dry milk powder at concentrations between 0.1 and 5.0% (w/w). Self-modeling mixture analysis (SMA) was able to extract Raman spectra for each of the four adulterants from spectral image data of the five-constituent sample mixtures. This work demonstrated that multiple contaminants in one sample can be simultaneously detected using Raman chemical imaging method coupled with proper mixture analysis algorithms, allowing identification of adulterant particles and spatial mapping of their distribution. The method shows promise for rapid and non-destructive detection of the adulteration of food ingredients relevant to food safety applications.
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Progress 10/01/10 to 09/30/11
Outputs
Progress Report Objectives (from AD-416) To develop line-scan technology and design and construct macro-scale Raman chemical imaging instrumentation, and to develop methodology for macro-scale Raman imaging detection of contaminants and adulterants for food samples and food ingredients. Approach (from AD-416) Develop optical method to create laser-line illumination from a 785nm laser source. Implement Raman spectrograph with electron-multiplying charge-coupled device camera. Incorporate line laser and detector into a portable instrument for macro-scale Raman imaging of samples up to 10x20 cm in size. Develop computer programs for real-time data acquisition, data analysis, and classification. Perform system calibration/validation. Investigate contaminant and adulterant detection for food samples such as authentication of dry milk powder or other food ingredients, and detection of pesticide residues on fruits and leafy green vegetables. Upon successful completion of the cooperative research project 1265-42000- 013-05S, this new research project was initiated to investigate contaminant and adulterant detection for food samples such as authentication of dry milk powder or other food ingredients, and detection of pesticide residues on fruits and leafy green vegetables. Monitoring activities included site visits and meetings with Cooperators at EMFSL in Beltsville, MD.
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