• AI글쓰기 2.1 업데이트
  • AI글쓰기 2.1 업데이트
  • AI글쓰기 2.1 업데이트
  • AI글쓰기 2.1 업데이트
PARTNER
검증된 파트너 제휴사 자료

음주운전자 275명 혈액 중 마약류 및 남용약물의 분석 (Distribution of Abused Drugs in 275 Alcohol-positive Blood Samples of Korean Driver)

10 페이지
기타파일
최초등록일 2025.04.24 최종저작일 2008.04
10P 미리보기
음주운전자 275명 혈액 중 마약류 및 남용약물의 분석
  • 미리보기

    서지정보

    · 발행기관 : 대한약학회
    · 수록지 정보 : 약 학 회 지 / 52권 / 2호 / 137 ~ 146페이지
    · 저자명 : 최혜영, 이주선, 최상길, 김은미, 김재균, 김영운, 임미애, 정희선

    초록

    Even though driving under the influence of drug (DUID) is a worldwide problem, we, Korea has no regulation
    system yet except for alcohol, and there are little cases reported related to DUID. In order to investigate the type of abused
    drugs for drivers in Korea, we tried to analyze controlled and non-controlled drugs in alcohol-positive blood samples. 275
    whole bloods, which were positive for alcohol on the roadside test, were collected from the police for two months
    (Nov.~Dec. 2006). The analytical strategy was constituted of three steps: First, alcohol in blood samples were confirmed
    and quantified by gas chromatography. Second, controlled drugs were screened by Evidenceinvestigator™ (Randox, U.K.) as
    preliminary test. It was based on immunoassay by biochip array analyzer. Nine groups of drug abuse were screened: amphetamines,
    methamphetamines, cannabis, cocaine, opiates, barbiturates, methadone, benzodiazepines I (oxazepam) & II
    (lorazepam). Finally, confirmation of these drugs was performed by GC-MS. Blood samples were extracted by solid-phase
    extraction by RapidTrace™ (Zymark, U.S.A.). After trimethylsilyl (TMS) derivatization, eluates were analyzed to GC-MS.
    Total 49 drugs were investigated in this study including controlled drugs, antidepressants, 1st generation antihistamines,
    dextromethorphan, nalbuphine, ketamine, etc. For rapid detection, we developed the automated identification system. It was
    made up a new software, "DrugMan", modified Chemstation data analysis menu and newly developed macro modules. A
    series of peak selection, identification and reporting of the results were performed automatically by this system. Concentrations
    of alcohol in 275 blood samples were ranged from 0.011 to 0.249% (average, 0.119%). Among 149 blood samples,
    just six samples (4.0%) were showed positive results to the immunoassay: one methamphetamine and five benzodiazepines
    group I. By GC-MS confirmation, only benzodiazepines were detected and methamphetamine was not detected from immunoassay
    positive blood sample. Besides these drugs, 5 chlorpheniramines, dextromethorphan, diazepam, doxylamine, ibuprofen,
    lidocaine and topiramate were also detected in whole bloods by GC-MS. Conclusively, the frequency of drug abuse
    for Korean drivers was relatively low. There was none case which illegal drug was detected. However these results were
    limited to alcohol positive blood samples, so it is necessary to analyze more samples including alcohol negative blood.

    영어초록

    Even though driving under the influence of drug (DUID) is a worldwide problem, we, Korea has no regulation
    system yet except for alcohol, and there are little cases reported related to DUID. In order to investigate the type of abused
    drugs for drivers in Korea, we tried to analyze controlled and non-controlled drugs in alcohol-positive blood samples. 275
    whole bloods, which were positive for alcohol on the roadside test, were collected from the police for two months
    (Nov.~Dec. 2006). The analytical strategy was constituted of three steps: First, alcohol in blood samples were confirmed
    and quantified by gas chromatography. Second, controlled drugs were screened by Evidenceinvestigator™ (Randox, U.K.) as
    preliminary test. It was based on immunoassay by biochip array analyzer. Nine groups of drug abuse were screened: amphetamines,
    methamphetamines, cannabis, cocaine, opiates, barbiturates, methadone, benzodiazepines I (oxazepam) & II
    (lorazepam). Finally, confirmation of these drugs was performed by GC-MS. Blood samples were extracted by solid-phase
    extraction by RapidTrace™ (Zymark, U.S.A.). After trimethylsilyl (TMS) derivatization, eluates were analyzed to GC-MS.
    Total 49 drugs were investigated in this study including controlled drugs, antidepressants, 1st generation antihistamines,
    dextromethorphan, nalbuphine, ketamine, etc. For rapid detection, we developed the automated identification system. It was
    made up a new software, "DrugMan", modified Chemstation data analysis menu and newly developed macro modules. A
    series of peak selection, identification and reporting of the results were performed automatically by this system. Concentrations
    of alcohol in 275 blood samples were ranged from 0.011 to 0.249% (average, 0.119%). Among 149 blood samples,
    just six samples (4.0%) were showed positive results to the immunoassay: one methamphetamine and five benzodiazepines
    group I. By GC-MS confirmation, only benzodiazepines were detected and methamphetamine was not detected from immunoassay
    positive blood sample. Besides these drugs, 5 chlorpheniramines, dextromethorphan, diazepam, doxylamine, ibuprofen,
    lidocaine and topiramate were also detected in whole bloods by GC-MS. Conclusively, the frequency of drug abuse
    for Korean drivers was relatively low. There was none case which illegal drug was detected. However these results were
    limited to alcohol positive blood samples, so it is necessary to analyze more samples including alcohol negative blood.

    참고자료

    · 없음
  • 자주묻는질문의 답변을 확인해 주세요

    해피캠퍼스 FAQ 더보기

    꼭 알아주세요

    • 자료의 정보 및 내용의 진실성에 대하여 해피캠퍼스는 보증하지 않으며, 해당 정보 및 게시물 저작권과 기타 법적 책임은 자료 등록자에게 있습니다.
      자료 및 게시물 내용의 불법적 이용, 무단 전재∙배포는 금지되어 있습니다.
      저작권침해, 명예훼손 등 분쟁 요소 발견 시 고객센터의 저작권침해 신고센터를 이용해 주시기 바랍니다.
    • 해피캠퍼스는 구매자와 판매자 모두가 만족하는 서비스가 되도록 노력하고 있으며, 아래의 4가지 자료환불 조건을 꼭 확인해주시기 바랍니다.
      파일오류 중복자료 저작권 없음 설명과 실제 내용 불일치
      파일의 다운로드가 제대로 되지 않거나 파일형식에 맞는 프로그램으로 정상 작동하지 않는 경우 다른 자료와 70% 이상 내용이 일치하는 경우 (중복임을 확인할 수 있는 근거 필요함) 인터넷의 다른 사이트, 연구기관, 학교, 서적 등의 자료를 도용한 경우 자료의 설명과 실제 자료의 내용이 일치하지 않는 경우

“약 학 회 지”의 다른 논문도 확인해 보세요!

문서 초안을 생성해주는 EasyAI
안녕하세요 해피캠퍼스의 20년의 운영 노하우를 이용하여 당신만의 초안을 만들어주는 EasyAI 입니다.
저는 아래와 같이 작업을 도와드립니다.
- 주제만 입력하면 AI가 방대한 정보를 재가공하여, 최적의 목차와 내용을 자동으로 만들어 드립니다.
- 장문의 콘텐츠를 쉽고 빠르게 작성해 드립니다.
- 스토어에서 무료 이용권를 계정별로 1회 발급 받을 수 있습니다. 지금 바로 체험해 보세요!
이런 주제들을 입력해 보세요.
- 유아에게 적합한 문학작품의 기준과 특성
- 한국인의 가치관 중에서 정신적 가치관을 이루는 것들을 문화적 문법으로 정리하고, 현대한국사회에서 일어나는 사건과 사고를 비교하여 자신의 의견으로 기술하세요
- 작별인사 독후감
  • EasyAI 무료체험
해캠 AI 챗봇과 대화하기
챗봇으로 간편하게 상담해보세요.
2025년 10월 14일 화요일
AI 챗봇
안녕하세요. 해피캠퍼스 AI 챗봇입니다. 무엇이 궁금하신가요?
10:41 오후