Aquaphotomics for Bio-diagnostics in Dairy [E-Book] : Applications of Near-Infrared Spectroscopy / by Roumiana Tsenkova, Jelena Muncan.
This book is the result of more than 20 years of experience in working with near-infrared spectroscopy for raw milk analysis. The totality of this work presents extensive possibilities for milk spectral measurements that can be carried out in dairy. Moving beyond the standard milk components such as...
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Full text |
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| Personal Name(s): | Tsenkova, Roumiana, author |
| Muncan, Jelena, author | |
| Edition: |
1st edition 2022. |
| Imprint: |
Singapore :
Springer,
2022
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| Physical Description: |
XXIII, 328 pages 131 illustrations, 94 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9789811671142 |
| DOI: |
10.1007/978-981-16-7114-2 |
| Subject (LOC): |
- Part I: Introduction
- 1. Milk Quality Management: State of the Art and Contemporary Requirements
- 2. Near-infrared Spectroscopy for Milk Quality Analysis: The State of the Art
- 3. Aquaphotomics: Advancing Beyond the State of the Art
- Part II: NIRS for Individual Cow's Milk Composition Measurement
- 4. Milk Fat Measurement
- 5. Milk Protein Measurement
- 6. Milk Lactose Measurement
- 7. Milk Urea Nitrogen Measurement
- 8. Milk Fatty Acids Measurement
- Part III: NIRS for Somatic Cell Count Determination in Individual Cow's Milk
- 9. Near-infrared Spectroscopy: A New Diagnostic Tool for Determination of Somatic Cell Count
- 10. Non-destructive Somatic Cell Count Measurement Using Near-Infrared Spectra of Milk in the 400-1,100 nm Short Wavelength Region
- 11. Measurement of Somatic Cell Count in the 700-1,100 nm Short Wavelength Region using PLS Regression and Referenced Data
- 12. Measurement of Somatic Cell Count in the 700-1,100 nm Short Wavelength Region: Comparison of At-line and On-line Measurement Modes
- Part IV: Perturbation Influence on NIRS Measurement of Milk Composition
- 13. Influence of Sample Thickness and Individual Characteristics of Each Cow on Milk Composition Measurement in the Spectral Region from 700 to 1,100 nm
- 14. Influence of Individual Characteristics of Each Cow on Milk Composition Measurement in the Spectral Region from 1,100 to 2,400 nm
- 15. Mastitis Influence on Protein Measurement in the spectral region from 700 to 1,100 nm
- 16. Mastitis Influence on Milk Composition Measurement in the Spectral Region from 1,100 to 2,400 nm
- Part V: Near Infrared Spectroscopy for Physiological Studies of Dairy Cows
- 17. Interrelation between the Composition and Near-Infrared Spectra of Milk, Blood Plasma and Rumen Juice of Lactating Cows
- 18. Near-Infrared Spectra of Urine for Mastitis Diagnostics
- 19. Mastitis Diagnostics based on the Near-Infrared Spectra of Cow's Milk, Blood and Urine
- 20. Near-Infrared Spectra of Udder Quarter Foremilk for Measurement of Both Somatic Cell Count and Absolute Electrical Conductivity and for Diagnosis of Mastitis
- 21. Real-time Near-Infrared Spectroscopy of Udder Tissue for Mastitis Diagnosis
- 22. Estrus Detection in Dairy Cows Using Near-Infrared Spectroscopy and Aquaphotomics
- Part VI: Near Infrared Spectroscopy and Artificial Intelligence for Functional Studies of Dairy Cows
- 23. Two-dimensional Correlation Analysis of the Near-Infrared Spectra of Milk and Milk Constituents: Temporal Study of Post-partum Adaptation in Dairy Cows
- 24. Two-Dimensional Near-Infrared Correlation Spectroscopy of an Individual Cow's Milk for Functional Study of Somatic-Cell-Count Changes in Milk
- 25. Wavelet Transform of Near-Infrared Individual Cow's Milk for Single-Spectrum Mastitis Diagnosis
- 26. Artificial Neural Network Applied to Near-Infrared Spectra of Raw Milk for Dairy Cow Feeding Management
- 27. Artificial Intelligence in Dairy Farming: The Near-Infrared Approach
- Part VII: Conclusion and Future Perspectives
- 28. Conclusion and Future Perspectives. .