NIR Spectrometer Inline Milk Parameter Estimation
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Solution Overview
Problem
Current methods for analyzing milk samples from dairy cows are costly, time-consuming, and inefficient, particularly in detecting reproductive readiness and pregnancy, due to the need for sophisticated equipment and labor-intensive processes.
Innovation Solution
A system using Near-Infrared (NIR) Spectrometers and sensors to estimate milk parameters like fat, protein, lactose, somatic cell contents, and progesterone in real-time during the milking process, utilizing specific wavelengths for accurate inline analysis, and communicating results wirelessly, eliminating manual handling and labor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radioimmunoassay is used to test milk samples for progesterone levels, then measurement precision is improved, but device complexity and cost increase due to requiring sophisticated equipment, radioactive tracers, and skilled technicians
Solution Approach 1:
The patent replaces the complex radioimmunoassay system with a NIR spectroscopy-based detection system. Instead of using radioactive tracers and sophisticated immunological equipment, the invention uses near-infrared light interaction with milk molecules to detect progesterone levels, thereby simplifying the device complexity while maintaining measurement capability
Solution Approach 2:
The patent changes the detection parameter from radioimmunoassay-based signal detection to near-infrared spectral analysis. By measuring changes in NIR light transmission or reflection through the milk sample, the system achieves progesterone detection without requiring complex radioactive equipment, thus resolving the contradiction between precision and device complexity
2Measurement precision
If milk samples are sent to lab for monthly testing, then measurement precision is maintained through standardized procedures, but loss of time increases due to shipping and waiting for days
Solution Approach 1:
The patent enables the milk testing system to perform analysis directly on the milk sample without requiring external laboratory services. The NIR spectroscopy device can be deployed at the dairy farm and automatically analyzes milk components including progesterone, fat, protein, lactose, and SCC in real-time, eliminating the time loss associated with shipping and laboratory processing while maintaining measurement precision through standardized spectral analysis procedures
3Measurement precision
If conventional milk testing methods are used, then measurement precision is maintained through standardized protocols, but productivity decreases due to labor requirements and manual handling
Solution Approach 1:
The patent replaces manual mechanical operations with automated optical measurement systems. Instead of requiring skilled technicians to perform manual milk sampling, processing, and analysis, the invention uses automated NIR spectroscopy devices that electronically measure milk components, thereby increasing productivity while maintaining measurement precision through standardized optical protocols
Solution Approach 2:
The system performs self-service by automatically analyzing milk samples without requiring manual laboratory processing. The NIR spectroscopy device can be integrated with automated milk collection systems, enabling continuous or real-time monitoring of milk components, which significantly improves productivity while maintaining measurement accuracy through standardized spectral analysis
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides rapid, cost-effective, and accurate analysis of milk components, improving reproductive management and milk quality by enabling real-time monitoring of cow health and fertility, reducing the need for labor and expensive equipment.
Implementation Method 1
exposing the milk sample to a near infrared light source and at least one optical sensor module having a range of about 700 nm to about 1200 nm
Implementation Method 2
detecting substantially via transmittance a set of predetermined components within the milk sample
Data Source
AI summary
Described herein is a system and a method to conduct for inline estimation of milk parameters such as fat, protein, lactose, somatic cell contents (SCC), and progesterone during the milking process that can be performed real time during the milking process with a commercially acceptable level of accuracy. In one example embodiment, specific wavelengths are identified that facilitate the use of low-cost Near-Infrared (NIR) Spectrometers and sensors to develop the inline, real time estimation system, with at least two segments or ranges being identified of NIR wavelengths for determining content or composition for these key parameters.