Optimization of High-Pressure-Assisted Extraction of Cadmium and Lead from Kelp (<i>Laminaria japonica</i>) Using Response Surface Methodology
Kelp (<i>Laminaria japonica</i>) is a popular and nutritious sea vegetable, but it has a strong biosorption capacity for heavy metals. The high content of cadmium (Cd) and lead (Pb) is a threat to the quality of kelp. The objective of this study was to investigate the effects of high-pre...
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| Format: | Article |
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MDPI AG
2022-04-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/11/7/1036 |
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| author | Hao Wang Qiang Wang Jiahong Zhu Guixian Hu |
| author_facet | Hao Wang Qiang Wang Jiahong Zhu Guixian Hu |
| author_sort | Hao Wang |
| collection | DOAJ |
| description | Kelp (<i>Laminaria japonica</i>) is a popular and nutritious sea vegetable, but it has a strong biosorption capacity for heavy metals. The high content of cadmium (Cd) and lead (Pb) is a threat to the quality of kelp. The objective of this study was to investigate the effects of high-pressure-assisted extraction (HPAE) conditions on Cd and Pb removal efficiency from kelp. Pressure intensity (0.1–200 MPa), the number of HPAE cycles (one to five) and acetic acid concentration (0–10%) were optimized using response surface methodology. The pressure intensity had the most significant positive effects on Cd and Pb removal efficiency, while the correlation between acetic acid concentration and removal efficiency was positive for Cd and negative for Pb. The optimum conditions for the removal of Cd and Pb were attained at 188 MPa, with four cycles and with an acetic acid concentration of 0%. At optimum conditions, the experimental values of removal efficiency were 61.14% (Cd) and 70.97% (Pb), and this was consistent with the predicted value, confirming the validity of the predictive model. |
| first_indexed | 2024-03-09T11:50:25Z |
| format | Article |
| id | doaj.art-67dcec9358f84a6ba965840b5b10bd99 |
| institution | Directory Open Access Journal |
| issn | 2304-8158 |
| language | English |
| last_indexed | 2024-03-09T11:50:25Z |
| publishDate | 2022-04-01 |
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| record_format | Article |
| series | Foods |
| spelling | doaj.art-67dcec9358f84a6ba965840b5b10bd992023-11-30T23:16:08ZengMDPI AGFoods2304-81582022-04-01117103610.3390/foods11071036Optimization of High-Pressure-Assisted Extraction of Cadmium and Lead from Kelp (<i>Laminaria japonica</i>) Using Response Surface MethodologyHao Wang0Qiang Wang1Jiahong Zhu2Guixian Hu3Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, 298 Deshengzhong Road, Hangzhou 310021, ChinaInstitute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, 298 Deshengzhong Road, Hangzhou 310021, ChinaInstitute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, 298 Deshengzhong Road, Hangzhou 310021, ChinaInstitute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, 298 Deshengzhong Road, Hangzhou 310021, ChinaKelp (<i>Laminaria japonica</i>) is a popular and nutritious sea vegetable, but it has a strong biosorption capacity for heavy metals. The high content of cadmium (Cd) and lead (Pb) is a threat to the quality of kelp. The objective of this study was to investigate the effects of high-pressure-assisted extraction (HPAE) conditions on Cd and Pb removal efficiency from kelp. Pressure intensity (0.1–200 MPa), the number of HPAE cycles (one to five) and acetic acid concentration (0–10%) were optimized using response surface methodology. The pressure intensity had the most significant positive effects on Cd and Pb removal efficiency, while the correlation between acetic acid concentration and removal efficiency was positive for Cd and negative for Pb. The optimum conditions for the removal of Cd and Pb were attained at 188 MPa, with four cycles and with an acetic acid concentration of 0%. At optimum conditions, the experimental values of removal efficiency were 61.14% (Cd) and 70.97% (Pb), and this was consistent with the predicted value, confirming the validity of the predictive model.https://www.mdpi.com/2304-8158/11/7/1036high-pressure-assisted extractionkelpcadmiumleadresponse surface methodology |
| spellingShingle | Hao Wang Qiang Wang Jiahong Zhu Guixian Hu Optimization of High-Pressure-Assisted Extraction of Cadmium and Lead from Kelp (<i>Laminaria japonica</i>) Using Response Surface Methodology Foods high-pressure-assisted extraction kelp cadmium lead response surface methodology |
| title | Optimization of High-Pressure-Assisted Extraction of Cadmium and Lead from Kelp (<i>Laminaria japonica</i>) Using Response Surface Methodology |
| title_full | Optimization of High-Pressure-Assisted Extraction of Cadmium and Lead from Kelp (<i>Laminaria japonica</i>) Using Response Surface Methodology |
| title_fullStr | Optimization of High-Pressure-Assisted Extraction of Cadmium and Lead from Kelp (<i>Laminaria japonica</i>) Using Response Surface Methodology |
| title_full_unstemmed | Optimization of High-Pressure-Assisted Extraction of Cadmium and Lead from Kelp (<i>Laminaria japonica</i>) Using Response Surface Methodology |
| title_short | Optimization of High-Pressure-Assisted Extraction of Cadmium and Lead from Kelp (<i>Laminaria japonica</i>) Using Response Surface Methodology |
| title_sort | optimization of high pressure assisted extraction of cadmium and lead from kelp i laminaria japonica i using response surface methodology |
| topic | high-pressure-assisted extraction kelp cadmium lead response surface methodology |
| url | https://www.mdpi.com/2304-8158/11/7/1036 |
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