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Non-Contact Characterization of TPA-like Texture Properties of Gel-Based Soft Foods Using a Controlled Airflow-Laser
1College of Engineering, China Agricultural University, No. 17 Qinghua East Road, Beijing 100083, China.
Foods (Basel, Switzerland)
|April 14, 2026
Summary
A new Controlled Airflow-Laser Texturemeter (CAFLT) offers non-contact, nondestructive soft food texture analysis. This system accurately measures food hardness and gumminess, correlating well with traditional methods for quality control.
Area of Science:
- Food Science and Technology
- Materials Science
- Instrumentation Engineering
Background:
- Texture analysis is crucial for soft food quality assessment.
- Traditional methods like Texture Profile Analysis (TPA) can damage samples, limiting their use in non-destructive or online applications.
Purpose of the Study:
- To develop and validate a non-contact, non-destructive Controlled Airflow-Laser Texturemeter (CAFLT) system for rapid, multi-parameter texture characterization of soft foods.
- To compare the performance of the CAFLT system with traditional TPA measurements.
Main Methods:
- The CAFLT system integrates programmable airflow loading with laser displacement sensing to mimic TPA's double-cycle loading protocol.
- Simultaneous acquisition of time-applied airflow pressure (T-AP) and time-displacement (T-D) responses.
- Gelatin-maltose composite gels with varying Bloom strengths were used as model systems, and texture descriptors were extracted using a dual-curve feature framework.
Main Results:
- The CAFLT system generated a double-peak response similar to TPA and demonstrated clear trends with increasing gel strength.
- CAFLT-derived hardness and gumminess showed strong correlations (r=0.97 and r=0.87, respectively) with traditional TPA values.
- A time-domain descriptor (t_Peak1) exhibited a strong power-law relationship with Bloom strength (R²=0.96), indicating high sensitivity to mechanical properties.
Conclusions:
- The CAFLT system presents a viable non-contact, non-destructive method for quantitative texture evaluation of soft foods.
- The developed system shows significant potential for real-time quality monitoring and intelligent food inspection applications.
