The characterization of Citrus sp. from Parang Island Karimunjawa based on morphological, DNA barcoding and nutritional analysis

Kusumaningrum, Hermin Pancasakti; Budiharjo, Anto; Suprihadi, Agung; Eshananda, Yuriza; Fadillah, Annisa; Pangestuti, Dina Rahayuning

doi:10.5897/ijgmb2018.0167

Cited by 6 publications

(1 citation statement)

References 40 publications

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“…It also contains important nutritional elements for health. Citrus is good source of vitamin C (ascorbic acid), phenolic compound, flavonoid, folic acid, potassium, pectin and antioxidant properties [1].…”

Section: Introductionmentioning

confidence: 99%

Determination Characteristic and Classification the Types of Orange Using UV-Vis Spectrophotometer by K-Nearest Neighbor Algorithm

Pratama¹,

Gunawan²,

Suyanto³

2019

I2M

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It has been researched at Laboratorioum Terpadu Faculty of Science and Mathematics. The purpose of this study is determining to distinguish in characteristic between sweet orange and sour orange, it makes sure wavelength and absorbance using UV-Vis Spectrophotometer. Furthermore, it is also determining classification between sweet orange and sour orange by predicting between actual data and predictive data. The method used is K-Nearest Neighbor algorithm using MATLAB 2015. Sweet orange and sour orange are researched for their characteristic to be analyzed whether they have significant differences in wavelength and absorbance. The KNN algorithm is used to see its ability in classification to predict sweet orange and sour orange data from actual data. Through this study, it is found that resulting characteristic of sweet oranges and acid oranges has a different, it can be seen based on forms wavelength and absorbance. Sweet oranges and acid oranges have they own characteristic. On the classification, prediction data results showing that 23 correct data from 40 actual data obtained a percentage of 67.5 % by using K-Nearest Neighbor. The finding of this research may serve as reference. The finding of this study may serve as reference for other researchers to be developed further.

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Section: Introductionmentioning

confidence: 99%

Determination Characteristic and Classification the Types of Orange Using UV-Vis Spectrophotometer by K-Nearest Neighbor Algorithm

Pratama¹,

Gunawan²,

Suyanto³

2019

I2M

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Molecular identification and antioxidant test of Chaetoceros sp. from Gondol, Bali

Susetyo

Kusumaningrum

Jannah

et al. 2020

J. Phys.: Conf. Ser.

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Chaetoceros is one of the largest genera of microalgae that has more than 400 species and it is the primary producer in the marine ecosystem. Chaetoceros sp. has some of the pigment which is very important for their survival including chlorophyll and carotenoid pigments. This study aims to identify Chaetoceros sp. from Gondol Bali using ITS fragments, to understand its phylogenetic relationship between microalgae-based on their antioxidant activity. The results of ITS fragments identification and antioxidant activity of Chaetoceros sp. will be used to develop further research related to its potency. The method for microalgae DNA isolation was conducted using the Doyle and Doyle method following with amplification using ITS4 and ITS5 primer. Then, the sequences will be analyzed. The antioxidant activity will be performed by the DPPH method. The results of DNA isolation showed the concentration and purity for about 2842.1 ng / µl and1.97 respectively. PCR products from the amplification of the ITS fragment produced 882 bp. Phylogenetic analysis revealed that Chaetoceros sp. from Gondol Bali had a close relationship with C. muelleri KF 998567.1 and the antioxidant activity test showed IC50 values were about 72,386 ppm.

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Application of Doyle and Doyle method for DNA isolation from pamelo yellow orange (Citrus maxima Merr), lime orange (C. limon) and sunkist orange (C. sinensis)

Mawarni

Khairunnisa

Larasati

et al. 2021

J. Phys.: Conf. Ser.

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Various species of the genus Citrus have grown naturally and were cultivated in Indonesia as a mega-biodiversity country. In recent years, the nutritional content and antioxidant activity of citrus fruits has been used to prevent of the various chronic and degenerative human diseases including potential as an antidote to viruses. Development of the potential and superiority of Indonesian oranges including Pomelo yellow orange (Citrus maxima Merr), lime orange (C. limon) and Sunkist orange (C. sinensis) are needed to be done with molecular characterization that begins with DNA isolation. The study was conducted with the aim of applying the Doyle and Doyle method for DNA isolation to all of the three types of oranges. The method for isolate DNA from plant usually use Cethyl Trimethyl Ammonium Bromide (CTAB) and Sodium Dodecyl Sulphate (SDS). The aim of this study is to isolate DNA from the orange leaves of Pomelo Yellow Orange, Lime Orange and Sunkist Orange with the Doyle & Doyle method. The results of the isolation of orange DNA were measured using NanoDrop. The results showed that the DNA of the three oranges had purity of pomelo yellow oranges 1,83, limes 1.8 and sunkist oranges 1,51. The concentrations obtained from each of the oranges were Yellow Bali Citrus 532 ng / µl, Lime Citrus 664.5 ng / µl and Sunkist Orange 888.6 ng / µl.

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The characterization of Citrus sp. from Parang Island Karimunjawa based on morphological, DNA barcoding and nutritional analysis

Cited by 6 publications

References 40 publications

Determination Characteristic and Classification the Types of Orange Using UV-Vis Spectrophotometer by K-Nearest Neighbor Algorithm

Determination Characteristic and Classification the Types of Orange Using UV-Vis Spectrophotometer by K-Nearest Neighbor Algorithm

Molecular identification and antioxidant test of Chaetoceros sp. from Gondol, Bali

Application of Doyle and Doyle method for DNA isolation from pamelo yellow orange (Citrus maxima Merr), lime orange (C. limon) and sunkist orange (C. sinensis)

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