RISS 학술연구정보서비스

검색
자동완성 버튼
다국어입력
다국어 입력
あ ぁ か が さ ざ た だ な は ば ぱ ま や ゃ ら わ ゎ ん い ぃ き ぎ し じ ち ぢ に ひ び ぴ み り う ぅ く ぐ す ず つ づ っ ぬ ふ ぶ ぷ む ゆ ゅ る え ぇ け げ せ ぜ て で ね へ べ ぺ め れ お ぉ こ ご そ ぞ と ど の ほ ぼ ぽ も よ ょ ろ を
ア ァ カ サ ザ タ ダ ナ ハ バ パ マ ヤ ャ ラ ワ ヮ ン イ ィ キ ギ シ ジ チ ヂ ニ ヒ ビ ピ ミ リ ウ ゥ ク グ ス ズ ツ ヅ ッ ヌ フ ブ プ ム ユ ュ ル エ ェ ケ ゲ セ ゼ テ デ ヘ ベ ペ メ レ オ ォ コ ゴ ソ ゾ ト ド ノ ホ ボ ポ モ ヨ ョ ロ ヲ ―

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
ㅥ ㅦ ㅧ ㅨ ㅩ ㅪ ㅫ ㅬ ㅭ ㅮ ㅯ ㅰ ㅱ ㅲ ㅳ ㅴ ㅵ ㅶ ㅷ ㅸ ㅹ ㅺ ㅻ ㅼ ㅽ ㅾ ㅿ ㆀ ㆁ ㆂ ㆃ ㆄ ㆅ ㆆ ㆇ ㆈ ㆉ ㆊ ㆋ ㆌ ㆍ ㆎ
Α Β Γ Δ Ε Ζ Η Θ Ι Κ Λ Μ Ν Ξ Ο Π Ρ Σ Τ Υ Φ Χ Ψ Ω α β γ δ ε ζ η θ ι κ λ μ ν ξ ο π ρ σ τ υ φ χ ψ ω
á à Á À é è É È ç Ç ê
Ä Ö Ü ä ö ü ß
ְ ֳ ֲ ֱ ָ ַ ֵ ֶ ִ ֹ ּ ֻ ׂ ׁ ּ פ ם ן ו ט א ר ק ף ך ל ח י ע כ ג ד ש ץ ת צ מ נ ה ב
‘ ’ “ ” 〔 〕 〈 〉 「 」 『 』 【 】 ＂ （ ） ［ ］ ｛ ｝
± × ÷ ≠ ≤ ≥ ∞ ∴ ♂ ♀ ∠ ⊥ ⌒ ∂ ∇ ≡ ≒ ≪ ≫ √ ∽ ∝ ∵ ∫ ∬ ∈ ∋ ⊆ ⊇ ⊂ ⊃ ∪ ∩ ∧ ∨ ￢ ⇒ ⇔ ∀ ∃ ∮ ∑ ∏ ＋ － ＜ ＝ ＞
、 。 · ‥ … ¨ 〃 ― ∥ ＼ ∼ ´ ～ ˇ ˘ ˝ ˚ ˙ ¸ ˛ ¡ ¿ ː ！ ＇ ， ． ／ ： ； ？ ＾ ＿ ｀ ｜
½ ⅓ ⅔ ¼ ¾ ⅛ ⅜ ⅝ ⅞ ¹ ² ³ ⁴ ⁿ ₁ ₂ ₃ ₄
Æ Ð Ħ IJ Ł Ø Œ Þ Ŧ Ŋ æ đ ð ħ ı ij ĸ ŀ ł ø œ ß þ ŧ ŋ ʼn
А Б В Г Д Е Ё Ж З И Й К Л М Н О П Р С Т У Ф Х Ц Ч Ш Щ Ъ Ы Ь Э Ю Я а б в г д е ё ж з и й к л м н о п р с т у ф х ц ч ш щ ъ ы ь э ю я
′ ″ ℃ Å ￠ ￡ ￥ ¤ ℉ ‰ ＄ ％ Ｆ ￦ ㎕ ㎖ ㎗ ℓ ㎘ ㏄ ㎣ ㎤ ㎥ ㎦ ㎙ ㎚ ㎛ ㎜ ㎝ ㎞ ㎟ ㎠ ㎡ ㎢ ㏊ ㎍ ㎎ ㎏ ㏏ ㎈ ㎉ ㏈ ㎧ ㎨ ㎰ ㎱ ㎲ ㎳ ㎴ ㎵ ㎶ ㎷ ㎸ ㎹ ㎀ ㎁ ㎂ ㎃ ㎄ ㎺ ㎻ ㎽ ㎾ ㎿ ㎐ ㎑ ㎒ ㎓ ㎔ Ω ㏀ ㏁ ㎊ ㎋ ㎌ ㏖ ㏅ ㎭ ㎮ ㎯ ㏛ ㎩ ㎪ ㎫ ㎬ ㏝ ㏐ ㏓ ㏃ ㏉ ㏜ ㏆
§ ※ ☆ ★ ○ ● ◎ ◇ ◆ □ ■ △ ▽ → ← ↑ ↓ ↔ 〓 ◁ ◀ ▷ ▶ ♤ ♠ ♡ ♥ ♧ ♣ ⊙ ◈ ▣ ◐ ◑ ▒ ▤ ▥ ▨ ▧ ▦ ▩ ♨ ☏ ☎ ☜ ☞ † ‡ ↕ ↗ ↙ ↖ ↘ ♭ ♩ ♪ ♬ ㉿ ㈜ № ㏇ ™ ㏂ ㏘ ℡ ＃ ＆ ＊ ＠ ª º
ⅰ ⅱ ⅲ ⅳ ⅴ ⅵ ⅶ ⅷ ⅸ ⅹ Ⅰ Ⅱ Ⅲ Ⅳ Ⅴ Ⅵ Ⅶ Ⅷ Ⅸ Ⅹ
ا ب ت ث ج ح خ د ذ ر ز س ش ص ض ط ظ ع غ ف ق ک ل م ن ه و ی
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      LC-HRMS 기반 퇴적물 내 다성분 신종오염물질 분석을 위한 전처리 기법 최적화

      한글로보기

      https://www.riss.kr/link?id=T17367901

      • 0

        상세조회

      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      영어
      한국어
      Sediments act as major sinks and secondary sources of contaminants of emerging concern(CECs). However, sediments have a complex matrix composition, making a suitable pretreatment method essential for analysis. In this study, a pretreatment method for the simultaneous determination of 118 CECs was optimized by adjusting extraction solvent combinations, the volume of EDTA buffer added, and sonication time using LC-HRMS. As a result of the optimization, the combination of Water + MeOH + ACN + Hexane as the extraction solvent, 5 mL of EDTA buffer, and 30 minutes of sonication provided the highest extraction efficiency. Method validation confirmed linearity with R² > 0.99, Limit of detection ranged from 0.1 ~ 5 ng/g, and limit of quantitation ranged from 1 ~ 20 ng/g. Accuracy was 90.69 ± 16.40%, precision was below 20%, absolute recovery was 50.87 ± 11.30%, and matrix effect was -19.04 ± 12.47%. The application of the optimized pretreatment method to sediment samples from the Nakdong River estuary resulted in the detection of a total of 14 CECs. This study provides a pretreatment method for simultaneous multi-residue analysis in sediments, which can serve as a basis for future monitoring and risk assessment of CECs in aquatic environments.
      번역하기

      Sediments act as major sinks and secondary sources of contaminants of emerging concern(CECs). However, sediments have a complex matrix composition, making a suitable pretreatment method essential for analysis. In this study, a pretreatment method for ...

      Sediments act as major sinks and secondary sources of contaminants of emerging concern(CECs). However, sediments have a complex matrix composition, making a suitable pretreatment method essential for analysis. In this study, a pretreatment method for the simultaneous determination of 118 CECs was optimized by adjusting extraction solvent combinations, the volume of EDTA buffer added, and sonication time using LC-HRMS. As a result of the optimization, the combination of Water + MeOH + ACN + Hexane as the extraction solvent, 5 mL of EDTA buffer, and 30 minutes of sonication provided the highest extraction efficiency. Method validation confirmed linearity with R² > 0.99, Limit of detection ranged from 0.1 ~ 5 ng/g, and limit of quantitation ranged from 1 ~ 20 ng/g. Accuracy was 90.69 ± 16.40%, precision was below 20%, absolute recovery was 50.87 ± 11.30%, and matrix effect was -19.04 ± 12.47%. The application of the optimized pretreatment method to sediment samples from the Nakdong River estuary resulted in the detection of a total of 14 CECs. This study provides a pretreatment method for simultaneous multi-residue analysis in sediments, which can serve as a basis for future monitoring and risk assessment of CECs in aquatic environments.

      더보기

      목차 (Table of Contents)

      • Ⅰ. 서 론 1
      • 1. 연구배경 및 필요성 1
      • 2. 연구의 목적 6
      • Ⅱ. 재료 및 방법 7
      • 1. 시약 및 표준물질 7
      • Ⅰ. 서 론 1
      • 1. 연구배경 및 필요성 1
      • 2. 연구의 목적 6
      • Ⅱ. 재료 및 방법 7
      • 1. 시약 및 표준물질 7
      • 2. 대상물질 11
      • 3. 시료채취 17
      • 4. 시료전처리 21
      • 5. 기기분석 24
      • 6. 표적분석 26
      • 7. 시험법 검증 27
      • Ⅲ. 결과 및 고찰 28
      • 1. 용매선정 결과 28
      • 2. EDTA buffer 첨가 효과 평가 35
      • 3. 초음파 처리 시간의 영향 38
      • 4. 시험법 검증 결과 42
      • 5. 현장 샘플 적용 58
      • Ⅳ. 결론 65
      • Ⅴ. 참고문헌 67
      • Ⅵ. Abstract 77
      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼