CAJ | 학술논문

近些年，基于分子光谱(紫外、红外、近红外、拉曼和荧光等)分析技术建立了诸多复杂混合物质的光谱数据库(例如土壤、饲料、物证检材、药物和油品等)，这些分子光谱库在现代工农业生产中日益发挥着重要的作用，其中光谱检索方法是充分利用这些光谱数据库的关键手段之一。本文系统综述了用于分子光谱自动检索的算法、策略和应用进展，并提出了需要注意和进一步研究的科学和技术问题。
근사년，기우분자광보(자외、홍외、근홍외、랍만화형광등)분석기술건립료제다복잡혼합물질적광보수거고(례여토양、사료、물증검재、약물화유품등)，저사분자광보고재현대공농업생산중일익발휘착중요적작용，기중광보검색방법시충분이용저사광보수거고적관건수단지일。본문계통종술료용우분자광보자동검색적산법、책략화응용진전，병제출료수요주의화진일보연구적과학화기술문제。
In recent years, many modern spectral databases for complex materials ( such as soil, feed, forensic evidence materials, pharmaceuticals and oils) have been established based on molecular spectroscopy (UV, infrared, near infrared, Raman and fluorescence) both at home and abroad, which are playing more and more important roles in the agricultural and industrial production and science research. Spectral searching method is one of the key technologies to make full use of the molecular spectral database. This paper reviewed the progress in the basic and modified algorithm, strategy and application of molecular spectral searching methods, and put forward the scientific and technological problems that need attention and further research.