Name
Title | ||
|---|---|---|
Determination of tea polyphenols content by infrared spectroscopy coupled with iPLS and random frog techniques |
Abstract | ||
|---|---|---|
Infrared spectroscopy was used for tea polyphenols detection of 14 cultivars tea.Characteristic wavenumbers were selected using PLS, iPLS, biPLS, and random frog.Quantitative determination of tea polyphenols was achieved based on the characteristic wavenumbers.Infrared spectroscopy in tea polyphenols determination is promising. The potential of infrared spectroscopy for fast determination of tea polyphenols (TP) of 14 cultivars of tea trees was investigated based on data mining technique. And the TP determination models were respectively developed for large leaf cultivars, middle leaf cultivars and all the cultivars. Interval partial least squares (iPLS) was proposed to extract and optimize feature from full-spectrum data. Regression models were respectively established based on PLS, iPLS and biPLS. Modeling results showed that the model based on the biPLS with the optimal subinterval selection (2452-dimensional wavenumbers) outperformed the other models, and the optimal regression model was obtained with high validation correlation of 0.9059, and low RMSE of 1.0277. On the basis of the optimal subinterval selection from biPLS, a further excavation of characteristic wavenumber was done by random frog. Thus, 18 optimal wavenumbers were selected for the TP determination, and the corresponding linear formula of the TP measurement was established. The results proved the feasibility of infrared spectra for measurement of the TP content of tea. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.compag.2015.01.005 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Infrared spectroscopy,Tea polyphenols,Interval partial least-squares,Random frog,Wavenumber selection | Computer vision,Biological system,Polyphenol,Botany,Infrared spectroscopy,Partial least squares regression,Artificial intelligence,Engineering,Spectroscopy | Journal |
Volume | Issue | ISSN |
112 | C | 0168-1699 |
Citations | PageRank | References |
2 | 0.54 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoli Li | 1 | 8 | 2.83 |
| Chanjun Sun | 2 | 2 | 0.54 |
| Liubin Luo | 3 | 2 | 0.54 |
| Yong He | 4 | 44 | 15.57 |