RGB pattern of images allows rapid and efficient prediction of antioxidant potential in Calycophyllum spruceanum barks
The use of fast and low-cost methods to optimize the total phenolic compounds (TPC) extraction has been gaining attention in ethnopharmacological research. Extraction conditions of the bioactive compounds from Calycophyllum spruceanum barks were established through multivariate regression models. In...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-09-01
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| Series: | Arabian Journal of Chemistry |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1878535220302720 |
| _version_ | 1818254599817003008 |
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| author | Ellen C. Perin Bruno H. Fontoura Vanderlei A. Lima Solange T. Carpes |
| author_facet | Ellen C. Perin Bruno H. Fontoura Vanderlei A. Lima Solange T. Carpes |
| author_sort | Ellen C. Perin |
| collection | DOAJ |
| description | The use of fast and low-cost methods to optimize the total phenolic compounds (TPC) extraction has been gaining attention in ethnopharmacological research. Extraction conditions of the bioactive compounds from Calycophyllum spruceanum barks were established through multivariate regression models. In this sense, fractional factorial design (FFD) and central rotational composite design (CCRD) were developed using partial least squares regression (PLSR) combined with the information from the color images and spectrophotometry tools to evaluate the antioxidant activity from C. spruceanum barks. In fact, was possible to optimize the extraction of TPC with AA (ethanol 10% v/v, 1 h extraction time at 75 °C temperature). Besides, the precision and performance of generated models were established for the three response variables (TPC, AA by ABTS and FRAP methods) with R2 above 0.98 in the PLSR and residual predictive value (RPD) above 3. Thus, the approaches suggested in this study, with emphasis on the use of image analysis, proved to be potential and promising as simple, fast, non-destructive methods for quantifying TPC and antioxidant activity in C. spruceanum barks. |
| first_indexed | 2024-12-12T16:58:32Z |
| format | Article |
| id | doaj.art-0dc372539f80455ab91b335331c31a9e |
| institution | Directory Open Access Journal |
| issn | 1878-5352 |
| language | English |
| last_indexed | 2024-12-12T16:58:32Z |
| publishDate | 2020-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Arabian Journal of Chemistry |
| spelling | doaj.art-0dc372539f80455ab91b335331c31a9e2022-12-22T00:18:10ZengElsevierArabian Journal of Chemistry1878-53522020-09-0113971047114RGB pattern of images allows rapid and efficient prediction of antioxidant potential in Calycophyllum spruceanum barksEllen C. Perin0Bruno H. Fontoura1Vanderlei A. Lima2Solange T. Carpes3Department of Chemistry, Federal University of Technology Paraná (UTFPR), Pato Branco, PR, BrazilDepartment of Chemistry, Federal University of Technology Paraná (UTFPR), Pato Branco, PR, BrazilDepartment of Chemistry, Federal University of Technology Paraná (UTFPR), Pato Branco, PR, BrazilCorresponding author.; Department of Chemistry, Federal University of Technology Paraná (UTFPR), Pato Branco, PR, BrazilThe use of fast and low-cost methods to optimize the total phenolic compounds (TPC) extraction has been gaining attention in ethnopharmacological research. Extraction conditions of the bioactive compounds from Calycophyllum spruceanum barks were established through multivariate regression models. In this sense, fractional factorial design (FFD) and central rotational composite design (CCRD) were developed using partial least squares regression (PLSR) combined with the information from the color images and spectrophotometry tools to evaluate the antioxidant activity from C. spruceanum barks. In fact, was possible to optimize the extraction of TPC with AA (ethanol 10% v/v, 1 h extraction time at 75 °C temperature). Besides, the precision and performance of generated models were established for the three response variables (TPC, AA by ABTS and FRAP methods) with R2 above 0.98 in the PLSR and residual predictive value (RPD) above 3. Thus, the approaches suggested in this study, with emphasis on the use of image analysis, proved to be potential and promising as simple, fast, non-destructive methods for quantifying TPC and antioxidant activity in C. spruceanum barks.http://www.sciencedirect.com/science/article/pii/S1878535220302720Calycophyllum spruceanumAntioxidant potentialOptimizationChemometricComputer visionImage analysis |
| spellingShingle | Ellen C. Perin Bruno H. Fontoura Vanderlei A. Lima Solange T. Carpes RGB pattern of images allows rapid and efficient prediction of antioxidant potential in Calycophyllum spruceanum barks Arabian Journal of Chemistry Calycophyllum spruceanum Antioxidant potential Optimization Chemometric Computer vision Image analysis |
| title | RGB pattern of images allows rapid and efficient prediction of antioxidant potential in Calycophyllum spruceanum barks |
| title_full | RGB pattern of images allows rapid and efficient prediction of antioxidant potential in Calycophyllum spruceanum barks |
| title_fullStr | RGB pattern of images allows rapid and efficient prediction of antioxidant potential in Calycophyllum spruceanum barks |
| title_full_unstemmed | RGB pattern of images allows rapid and efficient prediction of antioxidant potential in Calycophyllum spruceanum barks |
| title_short | RGB pattern of images allows rapid and efficient prediction of antioxidant potential in Calycophyllum spruceanum barks |
| title_sort | rgb pattern of images allows rapid and efficient prediction of antioxidant potential in calycophyllum spruceanum barks |
| topic | Calycophyllum spruceanum Antioxidant potential Optimization Chemometric Computer vision Image analysis |
| url | http://www.sciencedirect.com/science/article/pii/S1878535220302720 |
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