A Validated Method for Identification and Quantification of Anthocyanins in Different Black Rice (Oryza sativa L.) Varieties Using High-Performance Thin-Layer Chromatography (HPTLC).

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2025-01-21 DOI:10.1002/pca.3510
Jyoti Lekha Borah, Soibam Tampha, Robinson C Jose, Sushil K Chaudhary, Sanjay Kumar Chetia, Amrit Tamuly, Nanaocha Sharma, Pulok Kumar Mukherjee, Pardeep K Bhardwaj
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Abstract

Introduction: Black rice (Oryza sativa L.) has gained prominence as a functional food because of its rich content of anthocyanins and polyphenols, offering potential health benefits. However, comprehensive research addressing the diverse anthocyanin compositions in black rice cultivars remains limited.

Objective: This study aimed to quantify anthocyanin contents, specifically kuromanin, cyanidin-3-glucoside, peonidin-3-O-glucoside, peonidin-3-glucoside chloride, and cyanidin-3-rutinoside chloride, in 150 rice varieties sourced from the North Eastern Region of India using a robust high-performance thin-layer chromatography (HPTLC) method.

Materials and methods: Rice grains of varying colors-black, orange-reddish, and white-were subjected to methanol extraction under dark conditions through cold maceration for 72 h. The resulting extracts underwent separation on HPTLC silica gel 60 F254 plates utilizing an optimized mobile phase of ethyl acetate, 2-butanol, formic acid, and water (9:6:3:3::v/v/v/v).

Results: Anthocyanins were found to be present, and they were most visible in white light compared with UV light at 254 and 366 nm. They were analyzed via densitometry under white light illumination in transmission mode following development. Notably, anthocyanins were absent in grains of white and orange-reddish rice varieties, except for specific lines of Joha (JN 71, JN 83, JN 77, and JN 78) and all black rice variants. Among these, BR 15 exhibited the highest kuromanin content (74.14 ± 0.82 μg/mg), while BR8 showcased the highest peonidin-3-glucoside chloride concentration (27.59 ± 0.83 μg/mg).

Conclusion: This comprehensive analysis provides detailed insights into the anthocyanin compositions of 15 significant black rice cultivars, offering crucial data for breeding programs targeting enhanced anthocyanin-rich cultivars and the development of functional foods.

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不同黑米中花青素的鉴定与定量方法采用高效薄层色谱法(HPTLC)。
简介:黑米(Oryza sativa L.)因其丰富的花青素和多酚含量而成为一种功能食品,具有潜在的健康益处。然而,针对黑米品种花青素组成多样性的综合研究仍然有限。目的:利用高效薄层色谱(HPTLC)方法定量测定印度东北地区150个水稻品种中花青素的含量,包括苦参素、花青素-3-葡萄糖苷、芍药苷-3- o -葡萄糖苷、芍药苷-3-葡萄糖苷氯和花青素-3-芦丁糖苷氯。材料与方法:取黑色、橙红色、白色等不同颜色的米粒,在黑暗条件下冷浸72h进行甲醇提取。以优化流动相乙酸乙酯、2-丁醇、甲酸和水(9:6:3:3::v/v/v/v)为流动相,在hplc硅胶60f254板上进行分离。结果:发现花青素存在,在254 nm和366 nm的白光下比紫外光下最明显。在白光照射下透射模式下进行密度测定分析。值得注意的是,白色和橘红色水稻品种的籽粒中不含花青素,除了约翰(JN 71、JN 83、JN 77和JN 78)和所有黑米变种的特定品系。其中,br15的苦参素含量最高(74.14±0.82 μg/mg), BR8的芍药苷-3-葡萄糖苷氯浓度最高(27.59±0.83 μg/mg)。结论:本文对15个重要黑米品种的花青素成分进行了全面分析,为丰富花青素品种的选育计划和功能食品的开发提供了重要数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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