Nondestructive Quantification of Betalain Secondary Metabolites in Red Beet (Beta vulgaris) Powder Using Near- and Mid-Infrared Spectroscopy

IF 2.8 4区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Rudiati Evi Masithoh, Reza Adhitama Putra Hernanda, Hanim Zuhrotul Amanah, Byoung-Kwan Cho, Abdul Rohman
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引用次数: 0

Abstract

Betacyanin and betaxanthin are well-known secondary metabolites of betalains in red beet (Beta vulgaris), which contribute to the natural red–purple and yellow–orange color. Various analytical techniques, such as chromatography and nuclear magnetic resonance spectroscopy, are currently available and have been performed to quantify the betalain content. However, evidence shows that these methods remain arguable because of their disadvantages, such as being time-consuming, labor-intensive, destructive, and producing chemical wastes. This study aimed to encompass the spectroscopic techniques through near-infrared (NIR) and mid-infrared (MIR) spectroscopy coupled with partial least squares regression PLSR analysis for rapid and nondestructive measurements of red beet powder betalain content. This study evaluated full and effective wavebands to determine the optimum model for predicting betacyanin and betaxanthin in red beet powder. The finding of effective wavebands was done by employing a variable important in projection (VIP) technique. This study demonstrated that betacyanin and betaxanthin were optimally predicted using NIR, with an R2 of 0.92 and a RMSEP of 0.07 mg/g for betacyanin and R2 of 0.83 with RMSEP of 0.04 mg/g for betaxanthin. This optimum model was achieved through the effective wavebands via VIP method. Thus, the proposed model is applicable for predicting betalain content in red beet powder nondestructively.

Abstract Image

近红外和中红外光谱法无损定量测定红甜菜粉中甜菜素次级代谢物
甜菜青素和甜菜黄素是红甜菜中甜菜素的次生代谢产物,是天然红紫色和黄橙色的重要组成部分。各种分析技术,如色谱和核磁共振波谱,目前是可用的,并已执行量化甜菜碱含量。然而,有证据表明,由于这些方法的缺点,如耗时、劳动密集、破坏性和产生化学废物,这些方法仍然值得商榷。本研究旨在将近红外(NIR)和中红外(MIR)光谱技术与偏最小二乘回归PLSR分析相结合,用于红甜菜粉β素含量的快速无损检测。本研究对红甜菜粉中甜菜青素和甜菜黄素的全有效波段进行了评价,确定了最佳预测模型。利用可变重要投影(VIP)技术找到有效波段。本研究表明,近红外光谱对甜菜青素和甜菜黄素的预测效果最佳,甜菜青素的R2为0.92,RMSEP为0.07 mg/g;甜菜黄素的R2为0.83,RMSEP为0.04 mg/g。该优化模型通过VIP方法在有效波段范围内得到。因此,该模型可用于红甜菜粉中甜菜碱含量的无损预测。
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来源期刊
Food Biophysics
Food Biophysics 工程技术-食品科技
CiteScore
5.80
自引率
3.30%
发文量
58
审稿时长
1 months
期刊介绍: Biophysical studies of foods and agricultural products involve research at the interface of chemistry, biology, and engineering, as well as the new interdisciplinary areas of materials science and nanotechnology. Such studies include but are certainly not limited to research in the following areas: the structure of food molecules, biopolymers, and biomaterials on the molecular, microscopic, and mesoscopic scales; the molecular basis of structure generation and maintenance in specific foods, feeds, food processing operations, and agricultural products; the mechanisms of microbial growth, death and antimicrobial action; structure/function relationships in food and agricultural biopolymers; novel biophysical techniques (spectroscopic, microscopic, thermal, rheological, etc.) for structural and dynamical characterization of food and agricultural materials and products; the properties of amorphous biomaterials and their influence on chemical reaction rate, microbial growth, or sensory properties; and molecular mechanisms of taste and smell. A hallmark of such research is a dependence on various methods of instrumental analysis that provide information on the molecular level, on various physical and chemical theories used to understand the interrelations among biological molecules, and an attempt to relate macroscopic chemical and physical properties and biological functions to the molecular structure and microscopic organization of the biological material.
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