Abstract
The study aimed at developing a new spectrophotometric method for determining the pectin content. Take commercial pectin as an example, and the method is based on the reaction of copper ions with pectin to produce copper pectate. The spectrophotometer was used to measure the remaining content of copper ions so as to calculate the pectin content. This method eliminated the weight step and avoided the error associated with it. Effects of reaction time, temperature, and pH on absorbance were also studied. Additionally, the accuracy of this method was verified. It indicated excellent repeatability and accuracy with the relative standard deviation of 2.09%. In addition, three different plant types were used to demonstrate the reliability of the method. To summarize, this method can be widely used for the determination of pectin content in many materials.
Highlights
Pectin is one kind of polymer with a complex chemical structure, which is mainly consisted of α-D-galacturonic acids [1]
The mechanism of spectrometric method and chromatographic method is that hydrolysis products such as monosaccharides or galacturonic acid of pectin in acidic conditions could be measured by instruments [9,10]
This paper presents a novel method for the determination of pectin content
Summary
Pectin is one kind of polymer with a complex chemical structure, which is mainly consisted of α-D-galacturonic acids [1]. The mechanism of spectrometric method and chromatographic method is that hydrolysis products such as monosaccharides or galacturonic acid of pectin in acidic conditions could be measured by instruments [9,10] Though they possess the advantages of high resolution and fast analysis speed, some complex pretreatment of samples is required [11], and other components such as cellulose and hemicellulose can be hydrolyzed causing higher absorbance [12]. Most importantly, these methods must decompose pectin, making it hard to retain it, so it is only slightly applied in some fields. There are materials in which the amount of pectin is scarce and researchers must be extremely precise in order to reduce the error [14]
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