A portable and stable dry starch-KI sensor for headspace iodine vapor detection: A green approach for sensitive ascorbic acid quantification in colored juices
| dc.contributor.author | Ananya Paojinda | |
| dc.contributor.author | Tanaporn Sribunpeng | |
| dc.contributor.author | Aumpika Kongsatjaviwat | |
| dc.contributor.author | Nadia Mira Kusumaningtyas | |
| dc.contributor.author | Pichayaporn Nuihuaykaew | |
| dc.contributor.author | Sittisak Phoolpho | |
| dc.contributor.author | Thanthapatra Bunchuay | |
| dc.contributor.author | Wiboon Praditweangkum | |
| dc.contributor.author | Rattikan Chantiwas | |
| dc.date.accessioned | 2026-05-08T19:18:51Z | |
| dc.date.issued | 2025-2-8 | |
| dc.description.abstract | • Dry starch-KI paper enables stable headspace detection for field analysis. • Enhanced sensitivity and stability compared to previous methods. • Uniform color spot formation ensures practical and reproducible results. • Improved detection method for ascorbic acid in colored juice matrices. • Aligned with green analytical chemistry principles with a high AGREE score of 0.7. This study introduces a stable and portable dry starch-KI paper sensor for detecting iodine vapor in the headspace of a microwell plate, enabling sensitive quantification of ascorbic acid (AA) in colored fruit and vegetable juices. The method leverages the reaction between AA and potassium iodate (KIO 3 ) to generate iodine vapor, producing a strong colorimetric response upon interaction with the starch-KI coating. The sensor maintains consistent color intensity for up to 90 min, ensuring reliable on-site analysis. Uniformity testing of 96-spot absorbance for 0.5 mM AA across three batches (n = 3) yielded a mean absorbance of 0.264 ± 0.016 with a %RSD of 6.1 %. Stability assessments at three AA concentrations produced %RSD values of 9.4 %, 5.0 %, and 5.1 %, respectively. The microwell plate format facilitates rapid analysis with minimal sample preparation, effectively minimizing interference from juice color and matrix effects. The sensor demonstrated a linear detection range of 0.1–0.75 mM (r 2 = 0.9942) with an LOD of 0.05 mM. Application to fresh juice samples yielded a %recovery of 80–120 % (n = 13). This approach addresses critical challenges such as stability, portability, and matrix interference by effectively separating analytical signals from juice pigments. With a high AGREE score of 0.7, reflecting strong alignment with green analytical chemistry principles, this innovative method offers a practical, eco-friendly solution for on-site AA quantification in nutritional analysis. | |
| dc.identifier.doi | 10.1016/j.microc.2025.113009 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/16707 | |
| dc.publisher | Microchemical Journal | |
| dc.subject | Advanced Chemical Sensor Technologies | |
| dc.subject | Analytical Chemistry and Sensors | |
| dc.subject | Biosensors and Analytical Detection | |
| dc.title | A portable and stable dry starch-KI sensor for headspace iodine vapor detection: A green approach for sensitive ascorbic acid quantification in colored juices | |
| dc.type | Article |