메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Jiachuan Chen (Qilu University of Technology) Tingpeng Jia (Qilu University of Technology) Guihua Yang (Qilu University of Technology) Ming He (Qilu University of Technology)
저널정보
한국펄프·종이공학회 펄프·종이기술 펄프·종이기술 제49권 제2호(통권 제175호)
발행연도
2017.4
수록면
30 - 40 (11page)
DOI
10.7584/JKTAPPI.2017.04.49.2.30

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Hemicelluloses are useful materials for papermaking and other biotechnological applications. Based on the concept of transformation of a chemical pulp mill into an integrated forest biorefinery, hemicelluloses are partially extracted or separated, and the remained substrate (mainly cellulose and lignin) can be further delignified for pulp. In the present work, the parameters of pre-extraction or the effect on pulp properties was investigated. The hot-water extraction and alkaline extraction prior to kraft pulping of poplar were carried out in order to partially extract hemicelluloses. It was found that the hot water extraction can obtain a mass loss of 7.72% at 140℃ for 60 min with a water-to-wood ratio of 6:1, and mass loss of woodchips increased with extraction time and temperature. While in the alkaline extraction, mass loss of woodchips reached 15.20% at 170℃ for 120 min with 3% dosage of NaOH. The concentrations of sugars depolymerized from hemicellulose in extraction liquor increased with the increase of extraction time and temperature. The residual woodchips were subjected to kraft pulping at 165℃ for 60 min with 20% effective alkali, 25% sulfidity and a liquor-to-wood ratio of 4:1. Considering the needs for resulting pulp properties, a temperature of 140℃ and a pre-extraction time of 60 min without NaOH addition were recommended as the optimum pre-extraction in this experiment.

목차

ABSTRACT
1. Introduction
2. Materials and Methods
3. Results and Discussion
4. Conclusions
Literature Cited

참고문헌 (21)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0