| Course title | |||||
| 環境資源科学特別講義Ⅰ [Special Lecture on Environmental Sciences and Natural Resources I] | |||||
| Course category | Requirement | Credit | 0.5 | ||
| Department | Year | 3～ | Semester | Fall | |
| Course type | Fall | Course code | 01EN3228 | ||
| Instructor(s) | |||||
| 服部 祐介 [HATTORI Yusuke] | |||||
| Facility affiliation | Graduate School of Agriculture | Office | Email address | ||
| Course description |
|
Near-infrared (NIR) spectroscopy is one of the most useful analytical methods in several research fields of agriculture, chemistry, medical, and environmental analysis. The special feature of the NIR is to be able to quantify and qualify the samples based on the chemical information as well as infrared spectroscopy. Moreover, NIR does not require pretreatment of samples, and the transmission properties of NIR light is higher for biological objects than that of IR light. However, it is required to use multivariate regression methods for analyzing NIR spectra, because the spectral peak separation is the difficulty to determine the assignments of the peaks. Partial least squares regression (PLSR) is frequently used to analyze the spectra. The purposes of this lecture are: 1. To understand the principle of NIR spectroscopy, 2. To understand the principle of PLSR, 3. To understand the application of NIR spectroscopy and PLSR. |
| Expected Learning |
|
This lecture requires to think and promote better understanding about: 1. The special features of NIR spectroscopy and the differences from other spectroscopic methods 2. The advantages and disadvantages of NIR spectroscopy 3. The points to use PLSR and to understand the essence of PLSR |
| Course schedule |
|
1) Fundamentals of NIR spectroscopy (absorption of light, harmonic and anharmonic vibration of molecules) 2) Mechanisms of NIR spectrometer (Wavelength-dispersive and Fourier transform spectrometer) 3) Fundamentals of PLSR (orthogonal decomposition, principle component analysis, spectral pretreatment) 4) Applications of NIR spectroscopy and PLSR for monitoring and controlling of pharmaceutical manufacturing process |
| Prerequisites |
| Required Text(s) and Materials |
| References |
| Assessment/Grading |
| Report (70%) Perspective for the lecture (30%) |
| Message from instructor(s) |
| Course keywords |
| Near-infrared spectroscopy, partial least squares regression, multivariate analysis |
| Office hours |
| Remarks 1 |
| Contact information Phone: 042-468-8679 E-mail: yhattori@musashino-u.ac.jp |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 9/29/2017 5:55:37 PM |