Nanoscaled Dye@ZIF-8 Colorimetric Sensor for Food Quality
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Solution Overview
Problem
Existing methods for food quality evaluation, such as sensory evaluation and gas chromatography-mass spectrometry (GC-MS), suffer from subjectivity, low sensitivity, and time-consuming operations, making them inefficient for rapid and objective quality assessment.
Innovation Solution
A nanoscaled dye@ZIF-8-based colorimetric sensor is developed, which involves preparing ZIF-8 nanomaterials and combining them with pH indicators and metalloporphyrins to create a colorimetric sensor. This sensor reacts with volatile odorants from food samples, changing color, and the changes are analyzed using a back propagation neural network (BPNN) model for rapid quality evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If sensory evaluation is used for food quality assessment, then the evaluation is direct and simple to perform, but the results show strong subjectivity and poor reproducibility
Solution Approach 1:
The patent replaces the mechanical/sensory evaluation system (human sensory organs) with a chemical detection system (colorimetric sensor based on ZIF-8 nanomaterials and pH indicators). The sensor objectively detects volatile compounds through color changes, eliminating human subjectivity while maintaining operational simplicity. The sensor system acts as an artificial substitute for human sensory evaluation, providing reproducible quantitative results.
2Measurement precision
If gas chromatography-mass spectrometry (GC-MS) is used for food quality assessment, then the detection is accurate and objective, but the operation is time-consuming and cumbersome
Solution Approach 1:
The patent extracts the core detection function from the complex GC-MS system and implements it through a simplified colorimetric sensor. Instead of using the entire sophisticated instrumentation chain, the invention isolates the essential volatile compound detection capability and translates it into a rapid color-change assay. This extraction allows accurate detection of volatile compounds without the time-consuming sample preparation and instrument operation required by GC-MS.
Solution Approach 2:
The patent utilizes color changes as the detection mechanism, where pH indicators embedded in ZIF-8 nanomaterials change color in response to volatile compounds. This visual colorimetric response provides accurate measurement information that can be quickly assessed, eliminating the lengthy analysis time of GC-MS while maintaining objective detection capability.
3Difficulty of detecting and measuring
If conventional detection methods are used for volatile compounds, then the detection capability is limited, but the preparation process is complicated
Solution Approach 1:
The patent creates a composite material system combining ZIF-8 nanomaterials with pH indicators to form a colorimetric sensor. The ZIF-8 provides structural framework and adsorption capability for volatile compounds, while the pH indicators provide detection functionality through color changes. This composite structure enhances detection capability compared to conventional single-material sensors, while the modular preparation process actually simplifies the overall device complexity by integrating multiple functions into one material system.
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
The nanoscaled dye@ZIF-8-based colorimetric sensor enables rapid and objective food quality evaluation by detecting volatile compounds and providing accurate quality grade information, improving evaluation efficiency and reducing subjectivity.
Implementation Method 1
The nanoscaled dye@ZIF-8-based colorimetric sensor enables rapid and objective food quality evaluation by detecting volatile compounds and providing accurate quality grade information
Implementation Method 2
a nanoscaled dye@ZIF-8-based colorimetric sensor, which involves preparing ZIF-8 nanomaterials and combining them with pH indicators and metalloporphyrins to create a colorimetric sensor. This sensor reacts with volatile odorants from food samples, changing color
Data Source
AI summary
A method of preparing a nanoscaled dye@ZIF-8-based colorimetric sensor is provided, in which a ZIF-8 nanomaterial is first prepared from Zn(CH3COO)2 and the 2-methylimidazole, and then the ZIF-8 nanomaterial is dispersed with ethanol and mixed with a colorimetric solution. The resultant mixed solution is added with polyethylene glycol-300 and applied to a substrate to obtain the nanoscaled dye@ZIF-8-based colorimetric sensor. This application further provides an evaluation method using the nanoscaled dye@ZIF-8-based colorimetric sensor, in which a back propagation neural network is established as the food quality evaluation model to evaluate the food quality.