Laser-Induced Breakdown Spectroscopy for Food Authentication

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Solution Overview

Problem

Current methods for food authentication and cytokine detection are costly, time-consuming, and require specialized equipment and trained personnel, making them unsuitable for rapid and affordable monitoring of food integrity and immune responses, especially in the context of food fraud and COVID-19.

Innovation Solution

The integration of laser-induced breakdown spectroscopy (LIBS) with statistical machine learning and lateral flow immunoassays (LFIA) for rapid molecular detection and cytokine quantification, utilizing lanthanide-complexed polymers and geometric flow control in nitrocellulose membranes to enhance sensitivity and speed.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional methods (chromatography, mass spectroscopy, ELISA) are used for food authentication and cytokine detection, then measurement precision and reliability are improved, but device complexity, cost, and time consumption increase significantly

Engineering Contradiction:
Improvedetection accuracyVSAvoidequipment complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex mechanical and chemical analysis systems (chromatography, mass spectroscopy) with a laser-based optical system. The LIBS device uses a laser to ablate sample material and analyze the resulting plasma emission spectrum, eliminating the need for complex mechanical separation and detection equipment while maintaining detection capability.

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

Solution Approach 2:

The patent extracts and isolates the key detection function from complex analytical systems. By using laser-induced breakdown spectroscopy, the system extracts spectral information directly from the sample without requiring complex preprocessing, separation, or multiple detection stages, thereby simplifying the overall device architecture.

Inventive Principle:
Principle #2Taking out (Extraction)

2Measurement precision

If conventional methods (chromatography, mass spectroscopy, ELISA) are used for food authentication and cytokine detection, then measurement precision is improved, but time consumption and productivity decrease

Engineering Contradiction:
Improvedetection accuracyVSAvoidtesting speed
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The LIBS system enables continuous rapid sampling and analysis. The laser can be pulsed at high repetition rates, allowing multiple measurements to be taken in quick succession without the lengthy preparation, separation, and analysis cycles required by conventional methods. This continuous capability significantly increases testing throughput and productivity.

Inventive Principle:
Principle #20Continuity of useful action

Solution Approach 2:

The laser ablation process performs sample vaporization and excitation in a single preliminary action, creating a plasma plume that contains all necessary spectral information. This eliminates the need for sequential operations like sample preparation, separation, and detection that characterize conventional methods, thereby reducing total analysis time.

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If conventional methods (chromatography, mass spectroscopy, ELISA) are used for food authentication and cytokine detection, then measurement precision is improved, but cost and ease of operation worsen

Engineering Contradiction:
Improvedetection accuracyVSAvoidoperational simplicity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The LIBS system is designed to be more self-service oriented. The laser automatically ablates the sample and the spectrometer automatically captures and analyzes the emission spectrum. The system requires minimal manual intervention for sample preparation and data interpretation, making it easier to operate compared to conventional methods that require skilled technicians for complex procedures.

Inventive Principle:
Principle #25Self-service

4Productivity

If LIBS with machine learning is used for rapid molecular detection, then productivity and ease of operation are improved, but measurement precision may worsen without proper calibration

Engineering Contradiction:
Improvedetection speedVSAvoidquantification accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The system uses machine learning algorithms to automatically adjust and optimize spectral analysis parameters based on the specific sample type and conditions. The algorithm can identify characteristic spectral features, normalize variations, and quantify analyte concentrations by learning from training data, thereby maintaining precision while enabling rapid automated operation.

Inventive Principle:
Principle #35Parameter changes

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 enables rapid, accurate, and cost-effective detection of cytokines and food authentication, achieving a detection limit of 0.2298 μg/mL for IL-6 within 15 minutes, improving food safety and clinical diagnosis by providing a portable and robust analytical platform.

Implementation Method 1

LIBS is based on atomic optical emission spectroscopy, using a high-power pulse laser that ablates, atomizes, and ionizes a tiny amount of the analyte to produce a plasma plume

Methodology Applied
Scientific EffectLaser-induced breakdown spectroscopy (LIBS): Laser Ablation

Implementation Method 2

The generated plasma contains a mixture of atoms, ions, and free electrons from the examined material. Upon cooling of plasma, some energy is emitted, and the optical spectroscopy in the LIBS device acquires the spectral signal

Methodology Applied
Scientific EffectPlasma emission: Plasma

Data Source

PatentUS20230101936A1Label-free food analysis and molecular detection
Publication Date: 2023.03.30 PURDUE RES FOUND
  • US20230101936A1 patent drawing
  • US20230101936A1 patent drawing
  • US20230101936A1 patent drawing

AI summary

The invention generally relates to methods, reagents, and substrates for detecting target analytes, especially spectroscopic techniques such as laser-induced breakdown spectroscopy (LIBS) for use in food authentication and molecular detection (e.g., when combined with later flow immunoassays (LFIA).