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Related Concept Videos

Response Surface Methodology01:16

Response Surface Methodology

176
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
176

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Ultrasound-Assisted Anthocyanins Extraction from Pigmented Corn: Optimization Using Response Surface Methodology.

Annisa Nurkhasanah1, Titouan Fardad2, Ceferino Carrera3

  • 1Department of Food and Agricultural Product Technology, Faculty of Agricultural Technology, Gadjah Mada University, Jalan Flora, Bulaksumur, Depok, Sleman, Yogyakarta 55281, Indonesia.

Methods and Protocols
|August 25, 2023
PubMed
Summary

This study optimized ultrasound-assisted extraction (UAE) for anthocyanins from pigmented corn. Optimal conditions yielded high recovery, enabling analysis of anthocyanin content in corn varieties for health benefits.

Keywords:
Box–Behnken designanthocyaninsoptimizationpurple cornultrasound-assisted extraction

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Area of Science:

  • Agricultural Chemistry
  • Food Science
  • Analytical Chemistry

Background:

  • Anthocyanins are valuable plant pigments with significant health benefits.
  • Pigmented corn is a rich source of diverse anthocyanins.
  • Efficient extraction methods are crucial for anthocyanin recovery and analysis.

Purpose of the Study:

  • To determine the optimal ultrasound-assisted extraction (UAE) conditions for maximizing anthocyanin yield from pigmented corn.
  • To validate the developed extraction method for accuracy and precision.
  • To apply the method for quantifying anthocyanins in various pigmented corn samples.

Main Methods:

  • Utilized Box-Behnken design (BBD) and response surface methodology (RSM) to optimize UAE parameters.
  • Investigated the effects of solvent pH, temperature, methanol composition, and ultrasound power on anthocyanin extraction.
  • Employed high-performance liquid chromatography (HPLC) for anthocyanin identification and quantification.

Main Results:

  • Identified six key anthocyanins in pigmented corn samples.
  • Determined optimal extraction conditions: 36% methanol, pH 7, 70 °C, 73% ultrasound power, and 10 min extraction time.
  • Achieved high recovery rates (>90%) and precision (CV < 5%) during method validation.
  • Quantified anthocyanins in diverse corn samples within a range of 36.47–551.92 mg kg⁻¹.

Conclusions:

  • The optimized UAE method provides an efficient and reliable approach for anthocyanin extraction from pigmented corn.
  • The validated method enables accurate determination of anthocyanin content, facilitating the identification of corn varieties with enhanced health benefits.
  • This research contributes to the valorization of pigmented corn as a functional food ingredient.