Course title
3M8226001
Applied Analytical Chemistry

 SEGAWA Hiroki
Course content
Analysis of real samples necessitates various kinds of knowledges. In this class, basic and practical knowledges including pre-treatment of samples, instrumental analysis, validation of methods, and data interpretation will be lectured.
Purpose of class
The aim of this class is that students acquire the basic knowledge on how to analyze the real samples. The main topics of this class are (1) understanding the properties of pre-treatments of samples, (2) basic understanding of instrumental analysis, (3) validation of methods, and (4) efficient interpretation of the experimental data.
Goals and objectives
  1. Understanding the properties of various sample pre-treatment methods.
  2. Understanding the principles of frequently used instrumental analyses.
  3. Understanding the concept of validation of methods.
  4. Understanding the idea of multivariate analysis.
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Reports and assignments Total.
1. 25% 25%
2. 25% 25%
3. 25% 25%
4. 25% 25%
Total. 100% -
Language
English
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1． Pre-treatment of samples (1) Learning the idea of sample extraction 200minutes
2． Pre-treatment of samples (2) Learning solid-phase extraction and liquid-liquid extraction 200minutes
3． Pre-treatment of samples (3) Learning purification of samples 200minutes
4． Instrumental analysis (1) Learning basics of separation analysis 200minutes
5． Instrumental analysis (2) Learning the properties of gas, liquid, supercritical fluid chromatography 200minutes
6． Instrumental analysis (3) Learning mass sepctrometry 200minutes
7． Instrumental analysis (4) Learning vibrational spectroscopy 200minutes
8． Instrumental analysis (5) Learning various spetroscopy techniques 200minutes
9． Validation of methods (1) Learning the concept of validation of methods 200minutes
10． Validation of methods (2) Evaluate the analytical methods students have used in their reserach 200minutes
11． Validation of methods (3) Present and discuss the evaluation of students' experimental methods 200minutes
12． Multivariate analysis (1) Learning the idea of multivariate analysis 200minutes
13． Multivariate analysis (2) Learning multivariate analysis used for classification of data 200minutes
14． Multivariate analysis (3) Learning multivariate analysis used for prediction and quantification 200minutes
Total. - - 2800minutes
Evaluation method and criteria
The final grade will be determined by the sum of scores for reports and assignments presented within lectures. The maximum is 100 points, and a minimum of 60 points is required for passing this class. Students will be able to achieve 60 points through understanding the basic concepts presented in the lectures.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in outside of the class (ScombZ, mail, etc.)
Textbooks and reference materials
Reference materials will be distributed within the lectures.
Reference material books:
機器分析（エキスパート応用化学テキストシリーズ）（講談社, Japanese）
スペクトル定量分析（講談社, Japanese）
ゼロから学ぶ　分析法バリデーション（じほう, Japanese）
Prerequisites
There is no prerequisite.
Office hours and How to contact professors for questions
  • Office hour: Tue. 13:20-16:50. Please make an appointment by e-mail.
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic problem-solving skills
Active-learning course
More than one class is interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
Applicable The lecturer has experiences on forensic identification of real samples in the former affiliation.
Education related SDGs:the Sustainable Development Goals
  • 3.GOOD HEALTH AND WELL-BEING
  • 16.PEACE, JUSTICE AND STRONG INSTITUTIONS
Last modified : Tue Mar 25 04:05:56 JST 2025