NIR Customer Spotlight- Jadavpur University predicts total polyphenol in Tea using near-infrared spectroscopy
The quality of tea liquor primarily depends on the quality of inbound fresh leaves to a tea factory. Several researchers at the Tocklai Tea Research Institute and Jadavpur University are working in close collaboration to develop NIR prediction methodologies of a few...Predicting composition of shelled corn (Zea mays) – A Feasibility Study with the StellarCASE-NIR Near-Infrared Analyzer
Introduction If you’ve driven through the mid-western United States, you’ll have noticed that corn is an important and prevalent crop. Corn covers about 90 million acres of farmland in the U.S. and accounts for about two-thirds of global grain trade. The food,...Ultrafast dynamics in co-sensitized photocatalysts under visible and NIR light irradiation
J Patwari, A Chatterjee, S Sardar, P Lemmens, SK Pal – Physical Chemistry Chemical …, 2018 Abstract Co-sensitization to achieve a broad absorption window is a widely accepted technique in light harvesting nanohybrid synthesis. Protoporphyrin (PPIX) and squaraine...Engineering an E. coli Near-Infrared Light Sensor
NTX Ong, EJ Olson, JJ Tabor – ACS Synthetic Biology, 2017 Abstract Optogenetics is a technology wherein researchers combine light and genetically engineered photoreceptors to control biological processes with unrivaled precision. Near-infrared (NIR) wavelengths...Application Note – Predicting Ripeness of Avocados with a Near-Infrared Spectrometer System
Introduction The ripeness of an avocado affects its flavor, aroma, color and texture. Ripeness, however, is difficult to determine because the fruit ripens without obvious changes in external appearance. Dry matter content has been established as a surrogate for...
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