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[Study on NIR Model Transfer between Similar Kinds of Fruits Based on Slope/Bias Algorithm]
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|September 18, 2018
Summary
A new Slope/Bias algorithm enables soluble solid content (SSC) model transfer between similar fruits like apples, pears, and peaches using portable near-infrared instruments, reducing costs and increasing convenience.
Area of Science:
- Agricultural Science
- Analytical Chemistry
- Instrumentation Engineering
Background:
- Portable near-infrared (NIR) instruments are valuable for non-destructive fruit quality assessment.
- Existing soluble solid content (SSC) models are often specific to a single fruit type, limiting instrument versatility.
- Model transfer between different fruit types is challenging but desirable for broader application.
Purpose of the Study:
- To develop and validate a novel method for transferring SSC models between different fruit types.
- To adapt an existing apple SSC model for predicting SSC in pears and peaches.
- To assess the efficiency and cost-effectiveness of the proposed model transfer technique.
Main Methods:
- A Slope/Bias algorithm was employed for model transfer, leveraging the similar physical and chemical properties of apples, pears, and peaches.
- An established apple SSC partial least square (PLS) model was transferred to predict SSC in pear and peach samples.
- The effectiveness of the transfer was quantified by measuring the reduction in Root Mean Square Error of Prediction (RMSEP) with minimal additional samples.
Main Results:
- Transferring the apple SSC model to pears using 35 extra samples reduced RMSEP from 1.009 to 0.565 °Brix.
- Transferring the apple SSC model to peaches with 40 extra samples reduced RMSEP from 1.726 to 0.677 °Brix.
- Reciprocal model transfers (pear to apple/peach, peach to apple/pear) also yielded significant RMSEP reductions, confirming the algorithm's feasibility.
Conclusions:
- The Slope/Bias algorithm is effective for transferring SSC models between similar fruits (apples, pears, peaches) with portable NIR instruments.
- This method offers a convenient and cost-effective solution for expanding the application range of NIR models.
- The study presents innovative approaches for model transfer applicable to various similar materials, enhancing NIR instrument utility.
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