Analytical Chemistry
TeachersYANAGIHARA, Naohisa
Grade, SemesterYear 2 2nd semest [Department of Biosciences, Faculty of Science and Engineering]
CategorySpecial Subjects
Elective, CreditsElective 2credit
 Syllabus Number5D259

Course Description

Analytical chemistry focuses on the separation and analysis of materials using chemical techniques. Since chemistry is the science dealing with the characteristics and structure of all matter, analytical chemistry is the basis of all chemical disciplines. High-performance instrumental analysis is becoming mainstream for chemical analysis; once you have a sample, analytical instruments will do many of the analyses automatically. However, it is critical that you know how to prepare the sample for analysis, including any pretreatments required prior to instrumental analysis. Therefore, lectures covering the foundations of analytical chemistry are indispensable.
This is a lecture course that emphasizes quantitative chemical analysis and its underlying principles. The objective is to introduce fundamental concepts so that you develop the necessary skills to perform chemical quantification.
Although this class will be mainly conducted in a lecture form focusing mainly on board work, short discussions will be carried out in question form as appropriate for exercise problems or lecture contents within lecture time.
This course corresponds to DP1 and DP2 of the Department of Biosciences.

Course Objectives

We aim to thoroughly acquire various concentration calculations indispensable for the handling of quantitative analysis. In addition, we will learn basic statistical processing method of numerical data obtained by experiments.
(1) You can get how to calculate the solution concentration.
(2) By understanding the handling of analysis data, you can acquire knowledge of statistical processing.
(3) By understanding the concept of acid-base equilibrium, you can acquire the computational ability on stoichiometry.
(4) By understanding the concept of sedimentation equilibrium, you can acquire the computational ability on stoichiometry.

Grading Policy

(1) Attendance confirmation is taken in each time, and students who do not attend more than 2/3 classes are not allowed to take the regular exam.
(2) In this lecture, we will perform exercises at the end of every lecture. However, the grades of the exercises will not be evaluated.
(3) Detailed explanation and answer on this exercise will be posted on LMS by the day before the lecture of next week. Please refer to the commentary and answers of LMS and review the contents of the exercise question by yourself.
(4) The results of the mid-term exam and the regular exam will be 50% each, and they will be combined into the final evaluation.
(5) Regular tests are scheduled to be conducted separately during the test period.
(6) A retest will not be done.

Textbook and Reference

KindTitleAuthorPublisher
TextbookExercises of Basic Analytical Chemistry
Masao SugawaraSankyo Shuppan
ReferencesQuantitative Analysis ChemistryR. A. Day and A. L. Underwood
Co-translation by Yasuo Torii and Ko Tomoki
Baifukan

Requirements(Assignments)

(1) A scientific calculator is required. Please prepare by yourself as much as possible.
(2) Please be sure to enter the room at least within 30 minutes. Students who are late more than 30 minutes are allowed to attend, but will be considered as absent.
(3) Attendance for the past year students will not be taken. However, not taking attendance does not mean that you do not have to attend the lecture. Please also actively attend lectures as past year students.
(4) Eating and drinking during lectures and unnecessary entry and exit are not permitted.
(5) It is prohibited to shoot the content written on the blackboard or taking the video material of PowerPoint with a mobile phone or smartphone.

Note

Schedule

1Concentration of Solution (1): Concept of the Amount of Substance (mol).
2Concentration of Solution (2): Definition of Various Concentrations.
3Concentration of Solution (3): Quantitative Calculation.
4Handling of Experimental Data (1): Basic Theory of Errors.
5Handling of Experimental Data (2): Precision and Effective Figures.
6Handling of Experimental Data (3): Basics of Statistical Processing.
7Mid-term exam.
8Chemical Equilibrium (1): Stoichiometry of Solution.
9Chemical Equilibrium (2): Equilibrium Constant.
10Acid-Base Equilibrium (1): Definition of Acid and Base.
11Acid-Base Equilibrium (2): Stoichiometry of Equilibrium.
12Acid-Base Equilibrium (3): Weak Acid and Weak Base.
13Acid-Base Equilibrium (4): Stoichiometry of Acid-Base Equilibrium.
14Solubility Equilibrium: Solubility Products.
15Least Square Method.