Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Advanced microscopy techniques for revealing molecular structure of starch granules

Not Accessible

Your library or personal account may give you access

Abstract

Starch is a naturally occurring most abundant plant polysaccharide which is major source of carbohydrate and energy in human diet. Starch granules are synthesized in various plant species differ in size, shape and composition. In this research article, molecular structure of from potato, rice and corn were characterized using optical microscopes and scanning electron microscope (SEM). The micro-scale structure of starch granules were observed; the size was in the range of 1 to 100µm, surface topological and composition was visualized with high spatial resolution. The crystalline and amorphous components of starch granules were identified by second harmonic generation (SHG) and coherent anti-Stoke Raman scattering (CARS) microscopy. SHG and CARS signals are generated from non-centrosymmetric and C-H rich regions of starch granules, respectively.

© 2017 Optical Society of America

PDF Article
More Like This
Illucidating the structural components of starch granules using advanced analytical techniques

Ishita Chakraborty, Indira Govindaraju, Guan-Yu Zhuo, Vishwa Jyoti Baruah, Bhaswati Sarmah, KK Mahato, Hemanth Noothalapati, and Nirmal Mazumder
JTu5A.55 Frontiers in Optics (FiO) 2022

Investigation of the effect of gamma irradiation on the morphological structures of starch using advanced microscopic techniques

Indira Govindaraju, Malavika Muraleedharan, Sana Maidin, Ishita Chakraborty, Guan-Yu Zhuo, Krishna Kishore Mahato, and Nirmal Mazumder
JTu5A.74 Frontiers in Optics (FiO) 2022

Revealing Starch Denaturation with Stokes vector based SHG microscopy

Nirmal Mazumder and Fu-Jen Kao
W3A.52 International Conference on Fibre Optics and Photonics (Photonics) 2016

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.