Robustness of calibration model for prediction of lignin content in different batches of snow pears based on NIR spectroscopy.

ABSTRACT: Snow pear is very popular in southwest China thanks to its fruit texture and potential medicinal value. Lignin content (LC) plays a direct and negative role (higher concentration and larger size of stone cells lead to thicker pulp and deterioration of the taste) in determining the fruit texture of snow pears as well as consumer purchasing decisions of fresh pears. In this study, we assessed the robustness of a calibration model for predicting LC in different batches of snow pears using a portable near-infrared (NIR) spectrometer, with the range of 1033-2300 nm. The average NIR spectra at nine different measurement positions of snow pear samples purchased at four different periods (batch A, B, C and D) were collected. We developed a standard normal variate transformation (SNV)-genetic algor

SUBMITTER: Wu X 

PROVIDER: S-EPMC10009271 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature