Rapid and non-destructive determination of vitamin C and antioxidant activity of intact red chilies using visible near-infrared spectroscopy and machine learning tools
Red chili peppers are extensively used in the culinary industry due to their high vitamin C, antioxidant content, spice, and natural colorant properties. Traditional methods for determining these parameters are time-consuming and unstable. This study investigates the viability of visible near-infrar...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
|
| Series: | Case Studies in Chemical and Environmental Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666016423001408 |
| _version_ | 1797447997740548096 |
|---|---|
| author | Devianti Sufardi Siti Hafsah Sariadi Fachraniah Ahmad Nunik Destria Arianti Edo Saputra Sri Hartuti |
| author_facet | Devianti Sufardi Siti Hafsah Sariadi Fachraniah Ahmad Nunik Destria Arianti Edo Saputra Sri Hartuti |
| author_sort | Devianti |
| collection | DOAJ |
| description | Red chili peppers are extensively used in the culinary industry due to their high vitamin C, antioxidant content, spice, and natural colorant properties. Traditional methods for determining these parameters are time-consuming and unstable. This study investigates the viability of visible near-infrared spectroscopy as a rapid and nondestructive method for determining vitamin C content and antioxidant activity in intact red chilies. Visible near-infrared spectroscopy measures the sample's light absorption, proportional to its chemical composition. Collecting intact red chili samples from various sources and determining their vitamin C content and antioxidant activity using conventional methods were required for the study. The visible near-infrared spectra of the pieces were collected using a spectrometer, and chemometric models were devised to correlate the spectra with the vitamin C content and antioxidant activity. Traditional methods were compared to visible near-infrared spectroscopy regarding their performance of prediction. In conjunction with chemometric models and machine learning algorithms, visible near-infrared spectroscopy could accurately predict red chilies' vitamin C content and antioxidant activity. The developed models exhibited high calibration and prediction coefficients, low root mean square errors, and high prediction-to-deviation ratios. The identified absorption peaks in the visible near-infrared spectra were related to the samples' color pigments and water content. This study demonstrates the feasibility of visible near-infrared spectroscopy as a rapid and nondestructive method for determining the vitamin C content and antioxidant activity of intact red chilies. The findings may have significant ramifications for the food industry, providing a more efficient and secure quality control and nutritional labeling method. It is recommended that additional research and validation be conducted to ensure the applicability of the developed models to various red chili peppers varieties and growing conditions. |
| first_indexed | 2024-03-09T14:04:01Z |
| format | Article |
| id | doaj.art-7fc84cbe9ad3468b84a05ef28545ea0c |
| institution | Directory Open Access Journal |
| issn | 2666-0164 |
| language | English |
| last_indexed | 2024-03-09T14:04:01Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Chemical and Environmental Engineering |
| spelling | doaj.art-7fc84cbe9ad3468b84a05ef28545ea0c2023-11-30T05:11:01ZengElsevierCase Studies in Chemical and Environmental Engineering2666-01642023-12-018100435Rapid and non-destructive determination of vitamin C and antioxidant activity of intact red chilies using visible near-infrared spectroscopy and machine learning tools Devianti0 Sufardi1Siti Hafsah2 Sariadi3Fachraniah Ahmad4Nunik Destria Arianti5Edo Saputra6Sri Hartuti7Department of Agricultural Engineering, Faculty of Agriculture, Syiah Kuala University, Banda Aceh, 23111, Indonesia; Corresponding author.Department of Soil Science, Faculty of Agriculture, Universitas Syiah Kuala, Banda Aceh, 23111, IndonesiaDepartment of Agrotechnology, Faculty of Agriculture, Universitas Syiah Kuala, Banda Aceh, 23111, IndonesiaDepartment of Chemical Engineering, Politeknik Negeri Lhokseumawe, Lhokseumawe, 24301, IndonesiaDepartment of Chemical Engineering, Politeknik Negeri Lhokseumawe, Lhokseumawe, 24301, IndonesiaDepartment of Information System, Nusa Putra University, Sukabumi, 43155, IndonesiaDepartment of Agricultural Technology, Faculty of Agriculture, Universitas Riau, Pekanbaru, 28293, Indonesia; Agricultural Engineering Study Program, IPB University, Bogor, 16680, IndonesiaDepartment of Agricultural Engineering, Faculty of Agriculture, Syiah Kuala University, Banda Aceh, 23111, IndonesiaRed chili peppers are extensively used in the culinary industry due to their high vitamin C, antioxidant content, spice, and natural colorant properties. Traditional methods for determining these parameters are time-consuming and unstable. This study investigates the viability of visible near-infrared spectroscopy as a rapid and nondestructive method for determining vitamin C content and antioxidant activity in intact red chilies. Visible near-infrared spectroscopy measures the sample's light absorption, proportional to its chemical composition. Collecting intact red chili samples from various sources and determining their vitamin C content and antioxidant activity using conventional methods were required for the study. The visible near-infrared spectra of the pieces were collected using a spectrometer, and chemometric models were devised to correlate the spectra with the vitamin C content and antioxidant activity. Traditional methods were compared to visible near-infrared spectroscopy regarding their performance of prediction. In conjunction with chemometric models and machine learning algorithms, visible near-infrared spectroscopy could accurately predict red chilies' vitamin C content and antioxidant activity. The developed models exhibited high calibration and prediction coefficients, low root mean square errors, and high prediction-to-deviation ratios. The identified absorption peaks in the visible near-infrared spectra were related to the samples' color pigments and water content. This study demonstrates the feasibility of visible near-infrared spectroscopy as a rapid and nondestructive method for determining the vitamin C content and antioxidant activity of intact red chilies. The findings may have significant ramifications for the food industry, providing a more efficient and secure quality control and nutritional labeling method. It is recommended that additional research and validation be conducted to ensure the applicability of the developed models to various red chili peppers varieties and growing conditions.http://www.sciencedirect.com/science/article/pii/S2666016423001408Chemometrics toolsMachine learningRed chiliesSpectroscopy |
| spellingShingle | Devianti Sufardi Siti Hafsah Sariadi Fachraniah Ahmad Nunik Destria Arianti Edo Saputra Sri Hartuti Rapid and non-destructive determination of vitamin C and antioxidant activity of intact red chilies using visible near-infrared spectroscopy and machine learning tools Case Studies in Chemical and Environmental Engineering Chemometrics tools Machine learning Red chilies Spectroscopy |
| title | Rapid and non-destructive determination of vitamin C and antioxidant activity of intact red chilies using visible near-infrared spectroscopy and machine learning tools |
| title_full | Rapid and non-destructive determination of vitamin C and antioxidant activity of intact red chilies using visible near-infrared spectroscopy and machine learning tools |
| title_fullStr | Rapid and non-destructive determination of vitamin C and antioxidant activity of intact red chilies using visible near-infrared spectroscopy and machine learning tools |
| title_full_unstemmed | Rapid and non-destructive determination of vitamin C and antioxidant activity of intact red chilies using visible near-infrared spectroscopy and machine learning tools |
| title_short | Rapid and non-destructive determination of vitamin C and antioxidant activity of intact red chilies using visible near-infrared spectroscopy and machine learning tools |
| title_sort | rapid and non destructive determination of vitamin c and antioxidant activity of intact red chilies using visible near infrared spectroscopy and machine learning tools |
| topic | Chemometrics tools Machine learning Red chilies Spectroscopy |
| url | http://www.sciencedirect.com/science/article/pii/S2666016423001408 |
| work_keys_str_mv | AT devianti rapidandnondestructivedeterminationofvitamincandantioxidantactivityofintactredchiliesusingvisiblenearinfraredspectroscopyandmachinelearningtools AT sufardi rapidandnondestructivedeterminationofvitamincandantioxidantactivityofintactredchiliesusingvisiblenearinfraredspectroscopyandmachinelearningtools AT sitihafsah rapidandnondestructivedeterminationofvitamincandantioxidantactivityofintactredchiliesusingvisiblenearinfraredspectroscopyandmachinelearningtools AT sariadi rapidandnondestructivedeterminationofvitamincandantioxidantactivityofintactredchiliesusingvisiblenearinfraredspectroscopyandmachinelearningtools AT fachraniahahmad rapidandnondestructivedeterminationofvitamincandantioxidantactivityofintactredchiliesusingvisiblenearinfraredspectroscopyandmachinelearningtools AT nunikdestriaarianti rapidandnondestructivedeterminationofvitamincandantioxidantactivityofintactredchiliesusingvisiblenearinfraredspectroscopyandmachinelearningtools AT edosaputra rapidandnondestructivedeterminationofvitamincandantioxidantactivityofintactredchiliesusingvisiblenearinfraredspectroscopyandmachinelearningtools AT srihartuti rapidandnondestructivedeterminationofvitamincandantioxidantactivityofintactredchiliesusingvisiblenearinfraredspectroscopyandmachinelearningtools |