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Moisture distribution and dewatering performance are critical indicators in the study of deep dewatering of bio-waste. Traditional characterization methods have several drawbacks such as large sample consumption, low detection efficiency, poor reproducibility of results, high costs, and difficulty in identifying the turning points of the water loss curve. To address these issues, the low-field nuclear magnetic resonance technique (LF-NMR) was conducted to calibrate the drying test for moisture distribution analysis and Fourier transform infrared spectroscopy (FTIR) was conducted for dewatering performance analysis. The results indicated that the turning point of the water loss curve could be accurately located by referring the LF-NMR detection results. Moreover, a conceptual model of the water loss curve for solid waste was proposed to refine the traditional "four stage curve". At the same time, the FTIR analysis result showed that the water band spectrum related to the O-H bending vibration of FTIR (1550~1750cm^-1) could be deconvoluted into six sub-peaks. The area proportions of sub-peak 2 (p2) and sub-peak 4 (p4) in the water band spectrum of anaerobic digestate were significantly correlated with capillary suction time, and the summed ratio ∑p1~2/∑p4~6could characterize the dewatering performance of anaerobic digestate. The results of this study may provide a theoretical foundation and technical support for relevant research and applications regarding deep dewatering of bio-mass waste.

, authors=Yuan-xin LI¹, Pin-jing HE^{1, 2}, Hua ZHANG^{1, 2}, Fan LYU^{1, 2, *}, authorsList=Yuan-xin LI, Pin-jing HE, Hua ZHANG, Fan LYU, authorCompany=null, correspAuthors=Fan LYU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314918400875393592, articleId=1314918400405631542, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=生物质废物水分分布及脱水性的快速检测方法, columnId=1240689598737731645, journalTitle=中国环境科学, columnName=固体废物, runingTitle=null, highlight=null, articleAbstract=

水分分布和脱水性能是生物质废物深度脱水研究中的关键指标,针对传统表征方法样品消耗量大、检测时间长、检测效率低、结果重现性差、检测成本高、失水曲线转折点难以辨别等问题,采用低场核磁共振（LF-NMR）检测的方法对热干化法进行校正,以分析固态样品的水分分布,采用傅里叶变换红外光谱（FTIR）分析脱水性能.结果表明,参考LF-NMR法的检测结果能够准确识别热干化法失水曲线的转折点,据此优化了热干化法的“四阶段曲线”,提出固态样品失水曲线的概念模型;同时,FTIR分析结果表明,与O-H弯曲振动相关的水光谱（1550~1750cm^-1）可分解为6个子峰,厌氧消化物的水光谱子峰2（p2）和子峰4（p4）的面积占比均与毛细吸水时间显著相关,加和比值∑p1~2/∑p4~6能够表征厌氧消化物的脱水性能.研究结果可为生物质废物深度脱水的相关研究和应用提供理论依据和技术支持.

, authors=李元新¹, 何品晶^{1, 2}, 章骅^{1, 2}, 吕凡^{1, 2, *}, authorsList=李元新, 何品晶, 章骅, 吕凡, authorCompany=null, correspAuthors=吕凡, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=3nUxy9YiUqV6KitVjZHxwg==, magXml=AWISHFPlN6c2drFLO5mTDw==, pdfUrl=null, pdf=omzg0JCY7ygHjouixVf1uA==, pdfFileSize=1030924, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=xtPIKZbZYbnn2cawmUSLzQ==, mapNumber=null, fund=null)}, authors=[Author(id=1314918401240298048, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918400405631542, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=lyx_235@tongji.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314918401315795522, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918400405631542, authorId=1314918401240298048, language=EN, stringName=Yuan-xin LI, firstName=Yuan-xin, middleName=null, lastName=LI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.Institute of Solid Waste Treatment and Resource Utilization, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314918401387098691, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918400405631542, authorId=1314918401240298048, language=CN, stringName=李元新, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.同济大学环境科学与工程学院，固体废物处理与资源化研究所，上海 200092, bio={"content":"

李元新（1993-），女，内蒙古自治区赤峰人，同济大学博士研究生，主要研究方向为固体废物减量化与资源化利用.发表论文3篇．lyx_235@tongji.edu.cn.

"}, bioImg=null, bioContent=

李元新（1993-），女，内蒙古自治区赤峰人，同济大学博士研究生，主要研究方向为固体废物减量化与资源化利用.发表论文3篇．lyx_235@tongji.edu.cn.

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