A Portable Spectrometric System for Quantitative Prediction of the Soluble Solids Content of Apples with a Pre-calibrated Multispectral Sensor Chipset
Abstract
:1. Introduction
2. Materials and Methods
2.1. Sample Preparation
2.2. Experimental Setup
2.3. Spectra Acquisition
2.4. Reference Analysis
2.5. Statistical Analysis
3. Results
3.1. Spectral Responses
3.2. PLSR Models for USB2000+ and AS7265x
3.3. Optimal MLR Model for AS7265x
4. Discussion
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Items | Calibration | Prediction |
---|---|---|
Number of samples | 100 | 48 |
Range (°Brix) | 9.8–15.6 | 10.0–14.7 |
Mean value (°Brix) | 12.55 | 12.38 |
Standard deviation (°Brix) | 1.33 | 1.14 |
Data | Latent Variable | Calibration | Prediction | ||
---|---|---|---|---|---|
Rc2 | RMSEC | Rp2 | RMSEP | ||
USB2000+ | 4 | 0.816 | 0.568 | 0.876 | 0.398 |
AS7265x | 2 | 0.803 | 0.599 | 0.852 | 0.416 |
No. | Selected Waveband (nm) | Calibration | Prediction | ||
---|---|---|---|---|---|
Rc2 | RMSEC | Rp2 | RMSEP | ||
1 | 535 | 0.469 | 0.984 | 0.406 | 0.833 |
2 | 535, 680 | 0.775 | 0.641 | 0.769 | 0.519 |
3 | 535, 680, 900 | 0.808 | 0.591 | 0.846 | 0.424 |
4 | 535, 680, 900, 760 | 0.813 | 0.583 | 0.856 | 0.409 |
5 | 535, 680, 900, 760, 730 | 0.825 | 0.564 | 0.861 | 0.403 |
6 | 535, 680, 900, 760, 730, 460 | 0.827 | 0.562 | 0.849 | 0.420 |
7 | 535, 680, 900, 760, 730, 460, 610 | 0.829 | 0.558 | 0.864 | 0.398 |
8 | 535, 680, 900, 760, 730, 460, 610, 510 | 0.837 | 0.545 | 0.834 | 0.441 |
9 | 535, 680, 900, 760, 730, 460, 610, 510, 435 | 0.843 | 0.536 | 0.808 | 0.473 |
10 | 535, 680, 900, 760, 730, 460, 610, 510, 435, 705 | 0.844 | 0.534 | 0.808 | 0.474 |
… | … | … | … | … | … |
18 | All 18 wavebands | 0.862 | 0.502 | 0.781 | 0.505 |
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Tran, N.-T.; Fukuzawa, M. A Portable Spectrometric System for Quantitative Prediction of the Soluble Solids Content of Apples with a Pre-calibrated Multispectral Sensor Chipset. Sensors 2020, 20, 5883. https://doi.org/10.3390/s20205883
Tran N-T, Fukuzawa M. A Portable Spectrometric System for Quantitative Prediction of the Soluble Solids Content of Apples with a Pre-calibrated Multispectral Sensor Chipset. Sensors. 2020; 20(20):5883. https://doi.org/10.3390/s20205883
Chicago/Turabian StyleTran, Nhut-Thanh, and Masayuki Fukuzawa. 2020. "A Portable Spectrometric System for Quantitative Prediction of the Soluble Solids Content of Apples with a Pre-calibrated Multispectral Sensor Chipset" Sensors 20, no. 20: 5883. https://doi.org/10.3390/s20205883