ISSN 1017-2548(Print)
ISSN 2234-8530(Online)
Volume 68, Number 3
JKCSEZ 68(3)
June 20, 2024 

131  

Formal Synthesis of Sex Pheromone of Gypsy Moth (+)-Disparlure from L-(+)-Tartaric Acid
Gi Baek Gwon, Hang Soo Kim, Jae Won Park, Jong Soo Choi, Kyung Oh Doh, Kyung Jin Kim, Young Bae Seu
Keywords: Gypsy moth, Pheromones, (+)-Disparlure, L-Tartaric acid, Mono-esterification
DOI: https://doi.org/10.5012/jkcs.2024.68.3.131

Abstract  |  Supporting Information  |  Full Text: PDF    JATS XML

135  

The Surface Nitrate Effect on the Photochromism of Nanocrystalline Hexagonal WO₃ Prepared by Acid Precipitation Method
Jun Young Kwak, Young Hee Jung, Yeong Il Kim
Keywords: Photochromism, Nanocrystalline WO3, Surface anion effect
DOI: https://doi.org/10.5012/jkcs.2024.68.3.135

Abstract  |  Full Text: PDF    JATS XML

139  

Acid-Catalyzed Hydrolysis of Hexacyanoferrate (III) to Prussian Blue via Sequential Mechanism
Youngjin Jeon
Keywords: Hexacyanoferrate, Acid-catalyzed hydrolysis, Prussian blue, Mechanism study, ESI mass spectra
DOI: https://doi.org/10.5012/jkcs.2024.68.3.139

Abstract  |  Supporting Information  |  Full Text: PDF    JATS XML

146  

Assessment of the Intermolecular π?π Configurations of Poly(3-Hexylthiophene) using Polarized Raman Spectroscopy
Juwon Kim, Myeongkee Park
Keywords: Poly(3-hexylthiophene), P3HT, Raman, Depolarization ratio, π?π overlap
DOI: https://doi.org/10.5012/jkcs.2024.68.3.146

Abstract  |  Full Text: PDF    JATS XML

151  

Active Phytochemicals of Indian Spices Target Leading Proteins Involved in Breast Cancer: An in Silico Study
Ashok Kumar Krishnakumar, Jayanthi Malaiyandi, Pavatharani Muralidharan, Arvind Rehalia, Anami Ahuja, Vidhya Duraisamy, Usha Agrawal, Anjani Kumar Singh, Himanshu Narayan Singh, Vishnu Swarup
Keywords: Breast cancer, BCL3, CXCL10, Indian spices, Phytochemicals
DOI: https://doi.org/10.5012/jkcs.2024.68.3.151

Abstract  |  Supporting Information  |  Full Text: PDF    JATS XML

160  

An Investigation Into the Effects of AI-Based Chemistry I Class Using Classification Models
분류 모델을 활용한 AI 기반 화학 I 수업의 효과에 대한 연구
Heesun Yang, Seonghyeok Ahn, Seung-Hyun Kim, Seong-Joo Kang
Keywords: Subject-AI Integrated Curriculum, AI Classification Model, High School Chemistry Classes, Maker Education
DOI: https://doi.org/10.5012/jkcs.2024.68.3.160

Abstract  |  Full Text: PDF    JATS XML