摘要
以豆腐渣为底物进行混合好氧堆肥,采用三维荧光光谱(3-D excitation-emission fluorescence spectra,3D-EEMs)分析了堆肥产物淋溶上清液水溶性有机物(dissolved organic matter,DOM)的组成,运用傅里叶变换红外光谱仪(Fourier transform infrared spectrometer,FTIR)技术解析了堆肥样品中官能团信息。利用三维荧光结合平行因子法研究了堆肥过程中DOM的动态变化过程,分析得出两种组分即可见区类色氨酸(E_(x)/E_(m)=285 nm/350 nm)与类腐殖酸(E_(x)/E_(m)=335 nm/415 nm),其中,E_(x)为激发波长,E_(m)为发射波长。随着堆肥的不断进行,可见区类色氨酸荧光强度逐渐下降,类腐殖酸荧光强度逐渐上升,表明堆肥进入腐熟阶段。FTIR分析表明堆肥过程中多糖类小分子物质逐渐减少,而腐殖酸类大分子物质逐渐增加。进一步运用近红外光谱(near-infrared spectroscopy,NIRS)和区间偏最小二乘法等化学计量学方法构建了堆肥过程有机质含量分析预测模型,结果表明,优化选择区间5831.95~6086.52 cm^(-1)可以建立稳健的有机质定量分析模型,堆肥有机质实测值与近红外预测值的相关系数(R)为0.9861、交叉验证均方差(root mean square error of cross validation,RMSECV)为0.8247、偏差(Bias)为0.005,表明堆肥有机质含量与近红外光谱具有较好的相关性。
Mixed aerobic composting with tofu residue as substrate,the composition of dissolved organic matter(DOM)on the leaching solution of composting products was analyzed using the 3-D excitation-emission fluorescence spectra(3D-EEMs).Fourier transform infrared spectrometer(FTIR)was used to analyze functional group information in compost samples.The dynamic change of DOM in composting process was studied by three-dimensional fluorescence combined with PARAFAC.Two components were analyzed,namely visible region tryptophan like acid(E_(x)/E_(m)=285 nm/350 nm)and humic acid like acid(E_(x)/E_(m)=335 nm/415 nm),where E_(x) is the excitation wavelength and E_(m) is the emission wavelength.As the composting process continues,the fluorescence intensity of tryptophan gradually decreases,and the fluorescence intensity of humic acid gradually increases,indicating that the compost is in the stage of rot ripening.It shows that the polysaccharide small molecules gradually decrease,while the humus macromolecules increase gradually using FTIR.Furthermore,the stoichiometry methods such as near-infrared spectroscopy(NIRS)and interval partial least squares method were used to construct a prediction model for organic matter content analysis in the composting process.The results show that the optimal selection interval is 5831.95~6086.52 cm^(-1).Robust quantitative organic matter analysis models can be developed.The correlation coefficient(R)is 0.9861 between the measured values of compost organic matter and the predicted value with NIRs.The root mean square error of cross validation(RMSECV)is 0.8247,and the deviation(Bias)is 0.005,which shows a good correlation between the concentration of compost organic matter and NIR spectra.
作者
苏云
李卫华
SU Yun;LI Wei-hua(School of Environmental and Energy Engineering,Anhui Jianzhu University,Hefei 230601,China;Anhui Provincial Key Laboratory of Environmental Pollution Control and Resource Reuse,Hefei 230601,China)
出处
《科学技术与工程》
北大核心
2024年第1期439-446,共8页
Science Technology and Engineering
基金
安徽省高校省级自然科学研究重点项目(2022AH050258)
国家自然科学基金(51978003)
安徽省教育厅创新团队项目(2022AH010019)
安徽省自然科学基金(2008085QE264)
安徽建筑大学引进人才及博士启动基金(2019QDZ10)。
