scholarly journals Rapid Determination of Chlorogenic Acid, Luteoloside and 3,5-O-dicaffeoylquinic Acid in Chrysanthemum Using Near-Infrared Spectroscopy

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 1981 ◽  
Author(s):  
Zhengyan Xia ◽  
Yiming Sun ◽  
Chengyong Cai ◽  
Yong He ◽  
Pengcheng Nie

The feasibility of near-infrared spectroscopy (NIR) to detect chlorogenic acid, luteoloside and 3,5-O-dicaffeoylquinic acid in Chrysanthemum was investigated. An NIR spectroradiometer was applied for data acquisition. The reference values of chlorogenic acid, luteoloside, and 3,5-O-dicaffeoylquinic acid of the samples were determined by high-performance liquid chromatography (HPLC) and were used for model calibration. The results of six preprocessing methods were compared. To reduce input variables and collinearity problems, three methods for variable selection were compared, including successive projections algorithm (SPA), genetic algorithm-partial least squares regression (GA-PLS), and competitive adaptive reweighted sampling (CARS). The selected variables were employed as the inputs of partial least square (PLS), back propagation-artificial neural networks (BP-ANN), and extreme learning machine (ELM) models. The best performance was achieved by BP-ANN models based on variables selected by CARS for all three chemical constituents. The values of rp2 (correlation coefficient of prediction) were 0.924, 0.927, 0.933, the values of RMSEP were 0.033, 0.018, 0.064 and the values of RPD were 3.667, 3.667, 2.891 for chlorogenic acid, luteoloside, and 3,5-O-dicaffeoylquinic acid, respectively. The results indicated that NIR spectroscopy combined with variables selection and multivariate calibration methods could be considered as a useful tool for rapid determination of chlorogenic acid, luteoloside, and 3,5-O-dicaffeoylquinic acid in Chrysanthemum.

2013 ◽  
Vol 5 (23) ◽  
pp. 6715 ◽  
Author(s):  
Bu Haibo ◽  
Nie Lixing ◽  
Wang Dan ◽  
Yuan Shaoxiong ◽  
Li Shan ◽  
...  

2020 ◽  
Vol 110 ◽  
pp. 103138
Author(s):  
Muhammad Bilal ◽  
Zou Xiaobo ◽  
Muhmmad Arslan ◽  
Haroon Elrasheid Tahir ◽  
Muhammad Azam ◽  
...  

2005 ◽  
Vol 13 (3) ◽  
pp. 169-175 ◽  
Author(s):  
Innapa Saranwong ◽  
Sumio Kawano

A system for rapid fungicide determination using near infrared spectroscopy was developed using the dry-extract system for infrared (DESIR) technique. Glass microfibre filter paper was used as the substrate. Fungicide solutions were prepared by dissolving the commercial dichlofluanid-carrying fungicide, Euparen, into acetone at concentrations of 2 ppm to 90 ppm of the active ingredient. Some techniques for adding the fungicide solutions onto the filter paper were examined. It was found that by adding 2 mL of the fungicide solution to the filter paper held in an identical size Petri dish made of polysyrene, a sufficiently accurate calibration result with SEP of 6.58 ppm could be obtained. In the following step, the technique was applied to the determination of fungicide on tomato surfaces. The fungicide was extracted from the fruit by washing with acetone. Then, the acetone solution was used for the DESIR embedding instead of the fungicide solution in the first experiment. A satisfactory result, with an SEP of 7.89 ppm for the washed solution that was equivalent to approximately 1.58 ppm per gram fruit weight, could be obtained.


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