Ensemble strategies have gained increasing attention in multivariate calibration for
quantitative analysis of complex samples. The aim of ensemble calibration is to obtain a …

Stearic acid content is an important factor affecting mutton odor. To determine the
distribution and content of stearic acid (C18: 0) in lamb meat fast and nondestructively, a …

Near infrared spectroscopy (NIRS) has been widely used in analyzing various real complex
samples due to its superiority in fast and non-destructive determination. It is difficult …

A new strategy based on sampling error profile analysis (SEPA) combined with least
absolute shrinkage and selection operator (SEPA-LASSO) was proposed. LASSO has been …

Phytosterols have been extensively studied because it plays essential roles in the
physiology of plants and can be used as nutritional supplement to promote human health …

Near-infrared (NIR) spectroscopy is widely used for non-destructive detection of fruit quality,
but the transferability of NIR models between different fruits is still a challenge. This study …

Near-infrared spectroscopy (NIRS) combined with chemometric methods were used to
discriminate the sesame oils from different Chinese provinces and determinate the lignans …

摘要由于近红外光谱的独特优势, 在实际复杂样品分析中发挥了重要作用. 但由于近红外光谱的
信号相对较弱, 无机离子在近红外光谱中一般没有响应, 因此难以用于微量成分特别是无机微量 …

Neural networks with random weights (NNRW) has been used for regression due to its
excellent performance. However, NNRW is sensitive to outliers and unstable to some extent …

Outlier detection is an important task in multivariate calibration because the quality of a
calibration model is determined by that of the calibration data. An outlier detection method …