首页> 外文期刊>Research journal of applied science, engineering and technology >Rapid Determination of Total Nitrogen, Ammonium and Nitrate Nitrogen in Vinegar Residue Growing Substrates using Near-Infrared Spectroscopy
【24h】

Rapid Determination of Total Nitrogen, Ammonium and Nitrate Nitrogen in Vinegar Residue Growing Substrates using Near-Infrared Spectroscopy

机译:用近红外光谱法快速测定食醋残渣中总​​氮,铵态氮和硝酸盐氮的含量

获取原文
获取原文并翻译 | 示例
           

摘要

The objective of this study was to investigate the feasibility of using Near-Infrared Spectroscopy (NIRS) to determine the total nitrogen, ammonium and nitrate nitrogen in growing substrates of vinegar residues. Samples of 106 substrates were collected from the cultivation experiments of vinegar residue substrates. Spectra of the visible and near infrared region (350-2500 nm) were obtained for all samples after drying and grinding (variant A) or in a moist state (variant B). Across validation was carried out using a partial least square method which was based on the entire spectra. For parameters TN, NO_3~- and NH_4~+, precisions of the calibration and prediction models were inconsistent between variant A and B. For variant A, the prediction coefficient (r), Root Mean Squared Error of Cross-Validation (RMSECV) and the ratio of standard deviation and RMSECV (RSC) were 0.97, 0.64 g/kg and 4.4 for TN, 0.58, 15.4 mg/kg and 1.2 for NO_3~-, 0.79, 0.75 g/kg and 1.5 for NH_4~+, respectively. For moist samples, the r, RMSECV and RSC were 0.79, 1.81 g/kg and 1.6 for TN, 0.85, 9.95 mg/kg and 1.9 for NO_3~-, 0.92, 0.45 g/kg and 2.5 for NH_4~+, respectively. The results indicate a marked usefulness of NIRS in the nitrogen assessment and management of growing substrates, especially for TN and NH_4. However, further research is needed to improve the prediction precision of calibration models by enlarging the number of samples and using other growing substrates.
机译:这项研究的目的是调查使用近红外光谱(NIRS)来确定醋残留物生长基质中总氮,铵和硝酸盐氮的可行性。从醋残渣底物的培养实验中收集了106种底物的样品。在干燥和研磨(变体A)或处于潮湿状态(变体B)后,获得所有样品的可见和近红外区域(350-2500 nm)的光谱。使用基于整个光谱的偏最小二乘方法进行交叉验证。对于参数TN,NO_3〜-和NH_4〜+,变体A和B之间的校准模型和预测模型的精度不一致。对于变体A,预测系数(r),交叉验证均方根误差(RMSECV)和TN的标准偏差和RMSECV(RSC)的比率分别为0.97、0.64 g / kg和4.4,NO_3〜-的标准偏差和RMSECV(RSC)分别为0.58、15.4 mg / kg和1.2,NH_4〜+的标准偏差和RMSECV(RSC)分别为0.79、0.75 g / kg和1.5。对于潮湿的样品,TN的r,RMSECV和RSC分别为0.79、1.81 g / kg和1.6,NO_3〜-的r5,RM5、9.95 mg / kg和1.9,NH_4〜+的r2,RM2分别为0.92、0.45 g / kg和2.5。结果表明,NIRS在评估和管理生长中底物(尤其是TN和NH_4)的氮素方面具有显着的实用性。但是,需要进行更多的研究以通过增加样本数量和使用其他生长的底物来提高校准模型的预测精度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号