Transforming gotu kola (Centella asiatica L.) chemical properties inspection through advanced spectroscopy technology
Year: 2024
Type: article
Abstract: This study aimed to explore the use of advanced spectroscopy technology, visible and near-infrared spectroscopy (Vis-NIRS) for the analysis of gotu kola ( Centella asiatica L.) plant quality. Vis-NIRS was used to predict water content, total phenolic content (TPC), total flavonoid content (TFC), and asiaticoside in gotu kola . This analysis was carried out to overcome the limitations of conventional methods that are time-consuming and require a long laboratory process. Data were analyzed using chemometric analysis, which comprised partial least squares regression (PLSR) and principal component regression (PCR). The results showed that Vis-NIRS could predict the four quality parameters with a high accuracy level. The accuracy values of water content parameters were: the coefficient of correlation in the calibration (R cal ) was 0.96, the coefficient of correlation for cross-validation (R cv ) was 0.94, and the ratio of prediction to deviation (RPD) was 3.10. For TPC, the values were R cal (0.96), R cv (0.95), and RPD (3.04). Furthermore, TFC showed R cal (0.98), R cv (0.97), and RPD (4.83). Asiaticoside obtained values of R cal (0.92), root mean square error of the calibration (RMSEC) (78.23), R cv (0.88), and RPD (2.14). This study offers insights into opportunities for commercial applications of Vis-NIRS in monitoring the gotu kola quality, which can ultimately increase production efficiency and ensure better product quality .
Institutions: Padjadjaran University, Universitas Syiah Kuala
Language: English
Subfield: Analytical Chemistry
Field: Chemistry
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $760
Funder: Universitas Padjadjaran
OpenAlex ID: W4403290005