Analysis of Vitamin C Resistance in Red Grapes (Vitis vinifera) After Exposure to Extremely Low Frequency (ELF) Magnetic Fields Intensity 700 uT and 900 uT
| Autor: | Sudarti Sudarti, Elok Permatasari, Farida W. Ningtyias, Naura M. Mina, Karina Laksmiari |
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| Rok vydání: | 2022 |
| Zdroj: | Jurnal Penelitian Pendidikan IPA. 8:620-626 |
| ISSN: | 2407-795X 2460-2582 |
| DOI: | 10.29303/jppipa.v8i2.1386 |
| Popis: | The resistance of grapes at room temperature only reaches 7 days, then it will experience a decrease in quality and spoilage by the activity of pathogenic bacteria. This study aims to analyze the resistance of Vitamin C in red grapes (Vitis vinifera) by exposure to an Extremely Low Frequency (ELF) magnetic field with an intensity of 700 μT and 900 μT. This research is a laboratory experimental research using a completely randomized design. The sample of this study was red grapes (Vitis vinifera) in fresh condition as much as 7 kg, grouped into 7 groups @ 1 kg. One group as a control (K), three groups were exposed to an ELF magnetic field with an intensity of 700 μT, with a duration of exposure of 2x15 minutes (E-700.15), 2x30 minutes (E-700.30), and 2x45 minutes (E-700, 45). Three other groups were exposed to an ELF magnetic field with an intensity of 900 T, with a duration of exposure of 2x15 minutes (E-900.15), 2x30 minutes (E-900.30), and 2x45 minutes (E-900.45). is a component of ELF electromagnetic waves generated by current transformers by minimizing the intensity of the electric field up to 30 Volt/m. Measurement of Vitamin C and pH at the beginning and then 6 days, 12 days, and 18 days after being exposed to the ELF magnetic field. The results showed that the levels of Vitamin C in the group exposed to the ELF 900 T magnetic field for 2x30 minutes did not differ significantly (p>0.05) compared to the initial condition when it was still fresh, and physically the number of fresh fruit until the 12th day is the most. Conclusion: exposure to the ELF magnetic field intensity of 900 T for 2x30 minutes significantly (p |
| Databáze: | OpenAIRE |
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