Shelf-Life Prediction of Citrus Lemon Using a Multivariate Accelerated Shelf-Life Testing (MASLT) Approach
The shelf life of agricultural products is characterized by several quality parameters simultaneously. Estimating the shelf life using the multivariate accelerated shelf-life testing (MASLT) approach is expected to provide a more accurate shelf-life prediction. This research aims to examine the effe...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Sciendo
2022-06-01
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| Series: | Journal of Horticultural Research |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/johr-2022-0005 |
| _version_ | 1811280382073503744 |
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| author | Hasbullah Rokhani Ismail Egy R. |
| author_facet | Hasbullah Rokhani Ismail Egy R. |
| author_sort | Hasbullah Rokhani |
| collection | DOAJ |
| description | The shelf life of agricultural products is characterized by several quality parameters simultaneously. Estimating the shelf life using the multivariate accelerated shelf-life testing (MASLT) approach is expected to provide a more accurate shelf-life prediction. This research aims to examine the effect of temperature storage on lemon fruit quality and predict their shelf life with the MASLT approach. A total of 21 lemons for each treatment (storage temperatures) were washed and stored at 25, 35, and 45 °C. Changes in the quality of lemons were observed every day for 7 days, including moisture content, weight loss, firmness, total soluble solids, and color. Principal component analysis (PCA) was used to simplify many experimental lemon quality parameters to form a new coordinate system with maximum variance through linear transformation to form a new coordinate system with maximum variance. The results showed that 91.3% of the variance of all observational data could be explained by the first principal component (PC1). Multivariate kinetics of quality parameter changes following a zero-order reaction. The plot of ln km against 1/T shows a multivariate activation energy value (Ea) of 62.99 kJ·mol−1 with a pre-exponential factor (k0) of 3.87 × 1010 PC1 score per day. The reaction acceleration factor (Q10) based on storage temperatures of 35 °C and 45 °C is 2.17. The results of the predicted shelf life at cold temperatures (10 °C) and room temperature (25 °C) were 60.0 days and 18.8 days, respectively. |
| first_indexed | 2024-04-13T01:12:37Z |
| format | Article |
| id | doaj.art-dc38741218fb4a5985fbbd16c66aafb5 |
| institution | Directory Open Access Journal |
| issn | 2353-3978 |
| language | English |
| last_indexed | 2024-04-13T01:12:37Z |
| publishDate | 2022-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Journal of Horticultural Research |
| spelling | doaj.art-dc38741218fb4a5985fbbd16c66aafb52022-12-22T03:09:05ZengSciendoJournal of Horticultural Research2353-39782022-06-01301516010.2478/johr-2022-0005Shelf-Life Prediction of Citrus Lemon Using a Multivariate Accelerated Shelf-Life Testing (MASLT) ApproachHasbullah Rokhani0Ismail Egy R.1Bogor Agricultural University, IndonesiaBogor Agricultural University, IndonesiaThe shelf life of agricultural products is characterized by several quality parameters simultaneously. Estimating the shelf life using the multivariate accelerated shelf-life testing (MASLT) approach is expected to provide a more accurate shelf-life prediction. This research aims to examine the effect of temperature storage on lemon fruit quality and predict their shelf life with the MASLT approach. A total of 21 lemons for each treatment (storage temperatures) were washed and stored at 25, 35, and 45 °C. Changes in the quality of lemons were observed every day for 7 days, including moisture content, weight loss, firmness, total soluble solids, and color. Principal component analysis (PCA) was used to simplify many experimental lemon quality parameters to form a new coordinate system with maximum variance through linear transformation to form a new coordinate system with maximum variance. The results showed that 91.3% of the variance of all observational data could be explained by the first principal component (PC1). Multivariate kinetics of quality parameter changes following a zero-order reaction. The plot of ln km against 1/T shows a multivariate activation energy value (Ea) of 62.99 kJ·mol−1 with a pre-exponential factor (k0) of 3.87 × 1010 PC1 score per day. The reaction acceleration factor (Q10) based on storage temperatures of 35 °C and 45 °C is 2.17. The results of the predicted shelf life at cold temperatures (10 °C) and room temperature (25 °C) were 60.0 days and 18.8 days, respectively.https://doi.org/10.2478/johr-2022-0005arrheniuslemonmasltprincipal component analysisshelf life |
| spellingShingle | Hasbullah Rokhani Ismail Egy R. Shelf-Life Prediction of Citrus Lemon Using a Multivariate Accelerated Shelf-Life Testing (MASLT) Approach Journal of Horticultural Research arrhenius lemon maslt principal component analysis shelf life |
| title | Shelf-Life Prediction of Citrus Lemon Using a Multivariate Accelerated Shelf-Life Testing (MASLT) Approach |
| title_full | Shelf-Life Prediction of Citrus Lemon Using a Multivariate Accelerated Shelf-Life Testing (MASLT) Approach |
| title_fullStr | Shelf-Life Prediction of Citrus Lemon Using a Multivariate Accelerated Shelf-Life Testing (MASLT) Approach |
| title_full_unstemmed | Shelf-Life Prediction of Citrus Lemon Using a Multivariate Accelerated Shelf-Life Testing (MASLT) Approach |
| title_short | Shelf-Life Prediction of Citrus Lemon Using a Multivariate Accelerated Shelf-Life Testing (MASLT) Approach |
| title_sort | shelf life prediction of citrus lemon using a multivariate accelerated shelf life testing maslt approach |
| topic | arrhenius lemon maslt principal component analysis shelf life |
| url | https://doi.org/10.2478/johr-2022-0005 |
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