1. Paper-based colorimetric sensor for easy and simple detection of polygalacturonase activity aiming for diagnosis of Allium white rot disease
- Author
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Mi Rha Lee, Young-Soo Choi, Kwang-Yeol Yang, Cheol Soo Kim, and Kyeong-Hwan Lee
- Subjects
Paper ,02 engineering and technology ,Polygalacturonase activity ,01 natural sciences ,Biochemistry ,Analytical Chemistry ,Colorimetric sensor ,Ascomycota ,Limit of Detection ,Spectrophotometry ,medicine ,Environmental Chemistry ,Pectinase ,Spectroscopy ,Plant Diseases ,Detection limit ,Chromatography ,medicine.diagnostic_test ,biology ,Chemistry ,010401 analytical chemistry ,021001 nanoscience & nanotechnology ,biology.organism_classification ,Plant disease ,0104 chemical sciences ,Polygalacturonase ,Allium ,Colorimetry ,0210 nano-technology ,Quantitative analysis (chemistry) - Abstract
Polygalacturonase (PG) activity in plants can serve as an important index for plant disease. However, the conventional method to detect PG activity is a complex process and requires a skilled technician and expensive analytical equipment. In this study, a paper-based colorimetric sensor was developed based on the principle of the ruthenium red (RR) dye method for easy and simple measurement of PG activity. The proposed paper-based sensor has a three-layer structure for detection of PG activity in samples. The sensor sensitivity was enhanced by optimizing the pH of the sodium acetate buffer used in polygalacturonic acid (PGA)-RR complex formation and the reaction temperature for PG and the PGA-RR complex. Further, for quantitative analysis of PG activity, Delta RGB analysis was conducted to detect color changes in the sensing window of the sensor. Results presented that the linear measurement range of the paper sensor was 0.02-0.1 unit with the limit of detection of 0.02 unit, which showed a similar detection range, but a lower detection limit, compared to the spectrophotometry. Furthermore, PG activity based on culture condition was measured using samples from Sclerotium cepivorum to verify the potential application of the developed paper-based sensor in the field. The measured activity showed no statistically significant difference from the values obtained from the spectrophotometry at 95% confidence level. Therefore, the paper-based colorimetric sensor can be used to predict plant diseases in Allium crops during the stage of pathogen invasion, potentially contributing to the improvement of crop production.
- Published
- 2020