Real-Time Detection of the Nutritional Compounds in Green ‘Ratuni UNPAD’ Cayenne Pepper
The detection of nutritional compounds is usually performed through laboratory analysis, which requires extensive planning, time, cost, and effort. Alternatively, visible/near-infrared (Vis/NIR) spectroscopy can be used to determine the presence of nutritional compounds in real-time. This study aime...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Horticulturae |
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| Online Access: | https://www.mdpi.com/2311-7524/8/6/554 |
| _version_ | 1797486784003702784 |
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| author | Kusumiyati Kusumiyati Ine Elisa Putri Jajang Sauman Hamdani Diding Suhandy |
| author_facet | Kusumiyati Kusumiyati Ine Elisa Putri Jajang Sauman Hamdani Diding Suhandy |
| author_sort | Kusumiyati Kusumiyati |
| collection | DOAJ |
| description | The detection of nutritional compounds is usually performed through laboratory analysis, which requires extensive planning, time, cost, and effort. Alternatively, visible/near-infrared (Vis/NIR) spectroscopy can be used to determine the presence of nutritional compounds in real-time. This study aimed to investigate the potential application of the Vis/NIR spectroscopy in the quantitative detection of nutritional compounds in green ‘Ratuni UNPAD’ cayenne pepper. Prior to the model development, 80 samples were prepared for the calibration set, while another 40 samples were provided for the prediction set. Subsequently, the parameters used to calculate the model accuracy included the coefficient of correlation in calibration set (R<sub>cal</sub>), coefficient of correlation in prediction set (R<sub>pred</sub>), root mean square error of calibration set (RMSEC), root mean square error of prediction set (RMSEP) and the ratio of prediction to deviation (RPD). The experimental results involving the total carotenoids showed good model indicators with R<sub>cal</sub>, R<sub>pred</sub>, RMSEC, RMSEP, and RPD at 0.94, 0.89, 1.29, 1.75, and 2.21, respectively. Additionally, the analysis of the water content indicated R<sub>cal</sub>, R<sub>pred</sub>, RMSEC, RMSEP, and RPD values of 0.86, 0.85, 0.59, 0.61, and 1.90, respectively, while that of capsaicin had R<sub>cal</sub>, R<sub>pred,</sub> RMSEC, RMSEP, and RPD values of 0.89, 0.90, 117.82, 115.62, and 2.29, respectively. The results showed that Vis/NIR spectroscopy can be used to detect the nutritional compounds in green ‘Ratuni UNPAD’ cayenne pepper based on total carotenoids, water content, and capsaicin parameters. |
| first_indexed | 2024-03-09T23:39:09Z |
| format | Article |
| id | doaj.art-9af0e998dfea44a9baa120b6821c2a56 |
| institution | Directory Open Access Journal |
| issn | 2311-7524 |
| language | English |
| last_indexed | 2024-03-09T23:39:09Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Horticulturae |
| spelling | doaj.art-9af0e998dfea44a9baa120b6821c2a562023-11-23T16:56:04ZengMDPI AGHorticulturae2311-75242022-06-018655410.3390/horticulturae8060554Real-Time Detection of the Nutritional Compounds in Green ‘Ratuni UNPAD’ Cayenne PepperKusumiyati Kusumiyati0Ine Elisa Putri1Jajang Sauman Hamdani2Diding Suhandy3Department of Agronomy, Faculty of Agriculture, Universitas Padjadjaran, Sumedang 45363, IndonesiaDepartment of Agronomy, Faculty of Agriculture, Universitas Padjadjaran, Sumedang 45363, IndonesiaDepartment of Agronomy, Faculty of Agriculture, Universitas Padjadjaran, Sumedang 45363, IndonesiaDepartment of Agricultural Engineering, Faculty of Agriculture, The University of Lampung, Bandar Lampung 35145, IndonesiaThe detection of nutritional compounds is usually performed through laboratory analysis, which requires extensive planning, time, cost, and effort. Alternatively, visible/near-infrared (Vis/NIR) spectroscopy can be used to determine the presence of nutritional compounds in real-time. This study aimed to investigate the potential application of the Vis/NIR spectroscopy in the quantitative detection of nutritional compounds in green ‘Ratuni UNPAD’ cayenne pepper. Prior to the model development, 80 samples were prepared for the calibration set, while another 40 samples were provided for the prediction set. Subsequently, the parameters used to calculate the model accuracy included the coefficient of correlation in calibration set (R<sub>cal</sub>), coefficient of correlation in prediction set (R<sub>pred</sub>), root mean square error of calibration set (RMSEC), root mean square error of prediction set (RMSEP) and the ratio of prediction to deviation (RPD). The experimental results involving the total carotenoids showed good model indicators with R<sub>cal</sub>, R<sub>pred</sub>, RMSEC, RMSEP, and RPD at 0.94, 0.89, 1.29, 1.75, and 2.21, respectively. Additionally, the analysis of the water content indicated R<sub>cal</sub>, R<sub>pred</sub>, RMSEC, RMSEP, and RPD values of 0.86, 0.85, 0.59, 0.61, and 1.90, respectively, while that of capsaicin had R<sub>cal</sub>, R<sub>pred,</sub> RMSEC, RMSEP, and RPD values of 0.89, 0.90, 117.82, 115.62, and 2.29, respectively. The results showed that Vis/NIR spectroscopy can be used to detect the nutritional compounds in green ‘Ratuni UNPAD’ cayenne pepper based on total carotenoids, water content, and capsaicin parameters.https://www.mdpi.com/2311-7524/8/6/554chemometricsfruit qualitymultivariate analysisrapid detectionVis–NIR spectroscopy |
| spellingShingle | Kusumiyati Kusumiyati Ine Elisa Putri Jajang Sauman Hamdani Diding Suhandy Real-Time Detection of the Nutritional Compounds in Green ‘Ratuni UNPAD’ Cayenne Pepper Horticulturae chemometrics fruit quality multivariate analysis rapid detection Vis–NIR spectroscopy |
| title | Real-Time Detection of the Nutritional Compounds in Green ‘Ratuni UNPAD’ Cayenne Pepper |
| title_full | Real-Time Detection of the Nutritional Compounds in Green ‘Ratuni UNPAD’ Cayenne Pepper |
| title_fullStr | Real-Time Detection of the Nutritional Compounds in Green ‘Ratuni UNPAD’ Cayenne Pepper |
| title_full_unstemmed | Real-Time Detection of the Nutritional Compounds in Green ‘Ratuni UNPAD’ Cayenne Pepper |
| title_short | Real-Time Detection of the Nutritional Compounds in Green ‘Ratuni UNPAD’ Cayenne Pepper |
| title_sort | real time detection of the nutritional compounds in green ratuni unpad cayenne pepper |
| topic | chemometrics fruit quality multivariate analysis rapid detection Vis–NIR spectroscopy |
| url | https://www.mdpi.com/2311-7524/8/6/554 |
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