Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis
A rapid method to quantify the total phenolic content (TPC) and total carotenoid content (TCC) in blackberries using near infrared spectroscopy (NIRS) was carried out aiming to provide reductions in analysis time and cost for the food industry. A total of 106 samples were analysed using the Folin-Ci...
| Main Authors: | , , , , , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | English |
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MDPI
2020
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/7525 |
| _version_ | 1789406433601650688 |
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| author | Toledo Martín, Eva María García García, María del Carmen Font, Rafael Moreno Rojas, José Manuel Salinas Navarro, María Gómez, Pedro Del Río Celestino, Mercedes |
| author_facet | Toledo Martín, Eva María García García, María del Carmen Font, Rafael Moreno Rojas, José Manuel Salinas Navarro, María Gómez, Pedro Del Río Celestino, Mercedes |
| author_sort | Toledo Martín, Eva María |
| collection | DSpace |
| description | A rapid method to quantify the total phenolic content (TPC) and total carotenoid content (TCC) in blackberries using near infrared spectroscopy (NIRS) was carried out aiming to provide reductions in analysis time and cost for the food industry. A total of 106 samples were analysed using the Folin-Ciocalteu method for TPC and a method based on Ultraviolet-Visible Spectrometer for TCC. The average contents found for TPC and TCC were 24.27 mg·g−1 dw and 8.30 µg·g−1 dw, respectively. Modified partial least squares (MPLS) regression was used for obtaining the calibration models of these compounds. The RPD (ratio of the standard deviation of the reference data to the standard error of prediction (SEP)) values from external validation for both TPC and TCC were between 1.5 < RPDp < 2.5 and RER values (ratio of the range in the reference data to SEP) were 5.92 for TPC and 8.63 for TCC. These values showed that both equations were suitable for screening purposes. MPLS loading plots showed a high contribution of sugars, chlorophyll, lipids and cellulose in the modelling of prediction equations. |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-7525 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2020 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-75252023-04-12T18:57:58Z Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis Toledo Martín, Eva María García García, María del Carmen Font, Rafael Moreno Rojas, José Manuel Salinas Navarro, María Gómez, Pedro Del Río Celestino, Mercedes blackberries Rubus fructicosus phenolics carotenoids bioanalytical applications near infrared chemometrics A rapid method to quantify the total phenolic content (TPC) and total carotenoid content (TCC) in blackberries using near infrared spectroscopy (NIRS) was carried out aiming to provide reductions in analysis time and cost for the food industry. A total of 106 samples were analysed using the Folin-Ciocalteu method for TPC and a method based on Ultraviolet-Visible Spectrometer for TCC. The average contents found for TPC and TCC were 24.27 mg·g−1 dw and 8.30 µg·g−1 dw, respectively. Modified partial least squares (MPLS) regression was used for obtaining the calibration models of these compounds. The RPD (ratio of the standard deviation of the reference data to the standard error of prediction (SEP)) values from external validation for both TPC and TCC were between 1.5 < RPDp < 2.5 and RER values (ratio of the range in the reference data to SEP) were 5.92 for TPC and 8.63 for TCC. These values showed that both equations were suitable for screening purposes. MPLS loading plots showed a high contribution of sugars, chlorophyll, lipids and cellulose in the modelling of prediction equations. 2020-01-17T09:16:29Z 2020-01-17T09:16:29Z 2018-12-04 info:eu-repo/semantics/article 1420-3049 http://hdl.handle.net/10835/7525 en https://www.mdpi.com/1420-3049/23/12/3191 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
| spellingShingle | blackberries Rubus fructicosus phenolics carotenoids bioanalytical applications near infrared chemometrics Toledo Martín, Eva María García García, María del Carmen Font, Rafael Moreno Rojas, José Manuel Salinas Navarro, María Gómez, Pedro Del Río Celestino, Mercedes Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis |
| title | Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis |
| title_full | Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis |
| title_fullStr | Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis |
| title_full_unstemmed | Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis |
| title_short | Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis |
| title_sort | quantification of total phenolic and carotenoid content in blackberries (rubus fructicosus l.) using near infrared spectroscopy (nirs) and multivariate analysis |
| topic | blackberries Rubus fructicosus phenolics carotenoids bioanalytical applications near infrared chemometrics |
| url | http://hdl.handle.net/10835/7525 |
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