Animal Nutritional Deficiency Detection With Biomarker Models

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing methods for detecting nutritional deficiencies in animals are cumbersome, costly, and do not account for bioavailability, leading to inefficient nutrient utilization and management, particularly in livestock and poultry production systems.

Innovation Solution

A system and method using ex-vivo blood measurements and a parameterized model to correlate biomarker concentrations in animal blood with feed nutrient concentrations, enabling real-time detection and correction of nutritional deficiencies through computer-aided supplementation, primarily via drinking water.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If wet chemistry methods are used to determine nutrient deficiencies, then measurement precision is improved, but device complexity and ease of operation deteriorate due to requiring specialized equipment and trained personnel

Engineering Contradiction:
Improvenutrient concentration measurementVSAvoidspecialized lab equipment
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex wet chemistry laboratory equipment with simplified optical detection devices that measure nutrient concentrations in animal fur, feathers, or skin. This substitution maintains measurement precision while eliminating the need for specialized lab equipment and trained personnel, directly resolving the contradiction between measurement accuracy and device complexity.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If wet chemistry methods are used to detect nutritional deficiencies, then measurement precision is improved, but ease of operation deteriorates due to time-consuming procedures and specialized requirements

Engineering Contradiction:
Improvenutrient concentration measurementVSAvoiddetection procedure
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The patent replaces time-consuming wet chemistry procedures with rapid optical scanning of animal surfaces. The device captures images or spectral data from fur, feathers, or skin and processes them through algorithms to determine nutrient status, reducing detection time from hours to minutes while maintaining precision and eliminating specialized operational requirements.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables farmers to perform nutritional assessments themselves without needing trained laboratory personnel. The automated image capture and analysis process allows non-experts to obtain accurate nutrient deficiency diagnoses by simply scanning animal surfaces, dramatically improving ease of operation.

Inventive Principle:
Principle #25Self-service

3Reliability

If feed batches are modified to correct nutritional deficiencies, then nutritional state improves, but productivity deteriorates due to slow response time

Engineering Contradiction:
Improvenutritional state correctionVSAvoidresponse speed
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent enables real-time detection of nutrient deficiencies in living animals, allowing farmers to identify and correct nutritional problems immediately rather than waiting for feed batch cycles. By monitoring individual animals continuously, the system triggers immediate corrective actions such as supplemental feeding or water additives, ensuring rapid nutritional correction without disrupting production schedules.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250280799A1Model-based detection of deficiency in animal's nutritional state
Publication Date: 2025.09.11 DSM IP ASSETS BV
  • US20250280799A1 patent drawing
  • US20250280799A1 patent drawing
  • US20250280799A1 patent drawing

AI summary

A system and computer-implemented method are provided for detecting a deficiency in a nutritional state of animals.