Feasibility Study of the Use of Handheld NIR Spectrometer for Simultaneous Authentication and Quantification of Quality Parameters in Intact Pineapple Fruits
The potential of predicting maturity using total soluble solids (TSS) and identifying organic from inorganic pineapple fruits based on near-infrared (NIR) spectra fingerprints would be beneficial to farmers and consumers alike. In this study, a portable NIR spectrometer and chemometric techniques we...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Journal of Spectroscopy |
| Online Access: | http://dx.doi.org/10.1155/2019/5975461 |
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| author | Charles L. Y. Amuah Ernest Teye Francis Padi Lamptey Kwasi Nyandey Jerry Opoku-Ansah Peter Osei-Wusu Adueming |
| author_facet | Charles L. Y. Amuah Ernest Teye Francis Padi Lamptey Kwasi Nyandey Jerry Opoku-Ansah Peter Osei-Wusu Adueming |
| author_sort | Charles L. Y. Amuah |
| collection | DOAJ |
| description | The potential of predicting maturity using total soluble solids (TSS) and identifying organic from inorganic pineapple fruits based on near-infrared (NIR) spectra fingerprints would be beneficial to farmers and consumers alike. In this study, a portable NIR spectrometer and chemometric techniques were combined to simultaneously identify organically produced pineapple fruits from conventionally produced ones (thus organic and inorganic) and also predict total soluble solids. A total of 90 intact pineapple fruits were scanned with the NIR spectrometer while a digital refractometer was used to measure TSS from extracted pineapple juice. After attempting several preprocessing techniques, multivariate calibration models were built using principal component analysis (PCA), K-nearest neighbor (KNN), and linear discriminant analysis (LDA) to identify the classes (organic and conventional pineapple fruits) while partial least squares regression (PLSR) method was used to determine TSS of the fruits. Among the identification techniques, the MSC-PCA-LDA model accurately identified organic from conventionally produced fruits at 100% identification rate. For quantification of TSS, the MSC-PLSR model gave Rp = 0.851 and RMSEC = 0.950 °Brix, and Rc = 0.854 and RMSEP = 0.842 °Brix at 5 principal components in the calibration set and prediction set, respectively. The results generally indicated that portable NIR spectrometer coupled with the appropriate chemometric tools could be employed for rapid nondestructive examination of pineapple quality and also to detect pineapple fraud due to mislabeling of conventionally produced fruits as organic ones. This would be helpful to farmers, consumers, and quality control officers. |
| format | Article |
| id | doaj-art-57a810f2b78c45f781510351871449ba |
| institution | Kabale University |
| issn | 2314-4920 2314-4939 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Spectroscopy |
| spelling | doaj-art-57a810f2b78c45f781510351871449ba2025-02-03T06:07:51ZengWileyJournal of Spectroscopy2314-49202314-49392019-01-01201910.1155/2019/59754615975461Feasibility Study of the Use of Handheld NIR Spectrometer for Simultaneous Authentication and Quantification of Quality Parameters in Intact Pineapple FruitsCharles L. Y. Amuah0Ernest Teye1Francis Padi Lamptey2Kwasi Nyandey3Jerry Opoku-Ansah4Peter Osei-Wusu Adueming5University of Cape Coast, College of Agriculture and Natural Sciences, School of Physical Sciences, Department of Physics, Laser and Fibre Optics Centre, Cape Coast, GhanaUniversity of Cape Coast, College of Agriculture and Natural Sciences, School of Agriculture, Department of Agricultural Engineering, Cape Coast, GhanaUniversity of Cape Coast, College of Agriculture and Natural Sciences, School of Agriculture, Department of Agricultural Engineering, Cape Coast, GhanaUniversity of Cape Coast, College of Agriculture and Natural Sciences, School of Physical Sciences, Department of Physics, Laser and Fibre Optics Centre, Cape Coast, GhanaUniversity of Cape Coast, College of Agriculture and Natural Sciences, School of Physical Sciences, Department of Physics, Laser and Fibre Optics Centre, Cape Coast, GhanaUniversity of Cape Coast, College of Agriculture and Natural Sciences, School of Physical Sciences, Department of Physics, Laser and Fibre Optics Centre, Cape Coast, GhanaThe potential of predicting maturity using total soluble solids (TSS) and identifying organic from inorganic pineapple fruits based on near-infrared (NIR) spectra fingerprints would be beneficial to farmers and consumers alike. In this study, a portable NIR spectrometer and chemometric techniques were combined to simultaneously identify organically produced pineapple fruits from conventionally produced ones (thus organic and inorganic) and also predict total soluble solids. A total of 90 intact pineapple fruits were scanned with the NIR spectrometer while a digital refractometer was used to measure TSS from extracted pineapple juice. After attempting several preprocessing techniques, multivariate calibration models were built using principal component analysis (PCA), K-nearest neighbor (KNN), and linear discriminant analysis (LDA) to identify the classes (organic and conventional pineapple fruits) while partial least squares regression (PLSR) method was used to determine TSS of the fruits. Among the identification techniques, the MSC-PCA-LDA model accurately identified organic from conventionally produced fruits at 100% identification rate. For quantification of TSS, the MSC-PLSR model gave Rp = 0.851 and RMSEC = 0.950 °Brix, and Rc = 0.854 and RMSEP = 0.842 °Brix at 5 principal components in the calibration set and prediction set, respectively. The results generally indicated that portable NIR spectrometer coupled with the appropriate chemometric tools could be employed for rapid nondestructive examination of pineapple quality and also to detect pineapple fraud due to mislabeling of conventionally produced fruits as organic ones. This would be helpful to farmers, consumers, and quality control officers.http://dx.doi.org/10.1155/2019/5975461 |
| spellingShingle | Charles L. Y. Amuah Ernest Teye Francis Padi Lamptey Kwasi Nyandey Jerry Opoku-Ansah Peter Osei-Wusu Adueming Feasibility Study of the Use of Handheld NIR Spectrometer for Simultaneous Authentication and Quantification of Quality Parameters in Intact Pineapple Fruits Journal of Spectroscopy |
| title | Feasibility Study of the Use of Handheld NIR Spectrometer for Simultaneous Authentication and Quantification of Quality Parameters in Intact Pineapple Fruits |
| title_full | Feasibility Study of the Use of Handheld NIR Spectrometer for Simultaneous Authentication and Quantification of Quality Parameters in Intact Pineapple Fruits |
| title_fullStr | Feasibility Study of the Use of Handheld NIR Spectrometer for Simultaneous Authentication and Quantification of Quality Parameters in Intact Pineapple Fruits |
| title_full_unstemmed | Feasibility Study of the Use of Handheld NIR Spectrometer for Simultaneous Authentication and Quantification of Quality Parameters in Intact Pineapple Fruits |
| title_short | Feasibility Study of the Use of Handheld NIR Spectrometer for Simultaneous Authentication and Quantification of Quality Parameters in Intact Pineapple Fruits |
| title_sort | feasibility study of the use of handheld nir spectrometer for simultaneous authentication and quantification of quality parameters in intact pineapple fruits |
| url | http://dx.doi.org/10.1155/2019/5975461 |
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