Determination of some chemical components of fermented cordyceps mycelia using near-infrared spectroscopy

Issue Date

6-2013

Abstract

The study evaluated the potential of using near-infrared spectroscopy (NIRS) to predict adenosine, moisture and total amino acid content of fermented mycelia of Paecilomyces hepialid, a derivative of Cordyceps sinensis. A total of 200 samples were collected and randomly divided for calibration (n=140) and prediction (n=60). Spectra were generated by a multi-purpose analyser (MPATM) Fourier transform NIRS system with recorded spectral range of 12500–4000 cm-1. Several spectral pretreatment techniques were adopted for spectral transformation. The transformed spectra in calibration set were subjected to a partial least squares (PLS) algorithm with leave-one-out cross validation. Prediction results showed that the PLS models developed for the orthogonal signal correction (OSC)-transformed spectra achieved best performance with coefficient of determination (R2) of 0.996, 0.996 and 0.990 for adenosine, moisture and total amino acid contents, respectively. This experiment suggests that the NIR spectroscopy, if coupled with appropriate spectrum transformation, is a promising tool for rapid, nondestructive and accurate measurement of chemical components of natural and fermented mycelia of Cordyceps sinensis.

Source or Periodical Title

Philippine Agricultural Scientist, The (Formerly: The Philippine Agriculturist)

ISSN

0031-7454

Volume

96

Issue

2

Page

137-143

Document Type

Article

College

College of Agriculture and Food Science (CAFS)

Frequency

quarterly

Physical Description

graphs, tables, references

Language

English

Subject

Cordyceps sinensis, near-infrared spectroscopy, orthogonal signal correction, Paecilomyces hepialid, partial least squares regression

En – AGROVOC descriptors

CORDYCEPS; SPECTROSCOPY; CORRECTIONS; REGRESSION ANALYSIS; ADENOSINE; MOISTURE CONTENT; AMINO ACIDS; MYCELIUM

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