Photoacoustic fourier transform mid-infrared spectroscopy estimates plant-available phosphorus in bio-based fertilizers and amended soils

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Khan Wali , Muhammad Abdul Munnaf , Pitero Sica , Eldert J. van Henten , Erik Meers
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Abstract

Phosphorus (P) is a key nutrient for crop production, and there is growing interest in sourcing it from organic materials such as manure and digestate. Rapid estimation of phosphorus availability in organic amendments and their in-soil application is critical for supporting management decisions and maximizing phosphorus use efficiency. In this study, we investigated the use of photoacoustic Fourier transform mid-infrared spectroscopy (FTIR-PAS) to predict plant-available phosphorus (PAP) in bio-based fertilizers (BBF) and BBF-amended soils (Soil-A and Soil-B). Spectra were recorded using an FTIR-PAS instrument (Nicolet 6700, ThermoScientific, USA) for 60 BBF samples (e.g., cow, chicken, and pig manure, and substrate) and 60 samples of BBF mixed with two soil types: Soil-A (Luvisols with sandy-loam texture) and Soil-B (Humic-podzol with loamy-sand texture). Measurements were taken on the first and seventh days of incubation. Partial least squares regression (PLSR) models were developed using a training set of 48 samples and validated with a testing set of 12 samples for three cases: BBF, BBF-amended Soil-A, and BBF-amended Soil-B, at both incubation time points. FTIR-PAS demonstrated higher accuracy in predicting PAP for BBF (R2=0.84; RMSE = 1.51 g kg−1) compared to BBF-amended soils. Prediction accuracy was higher for Soil-A (R2=0.72–0.81; RMSE = 26.6–30.32 mg kg−1) than for Soil-B (R2=0.19–0.22; RMSE = 46.3–50.6 mg kg−1). The accuracy of FTIR-PAS decreased slightly (a 3% reduction in R2) with increasing incubation time up to seven days. In conclusion, FTIR-PAS shows promise for estimating PAP in BBF and BBF-amended soils, but soil texture and type require special consideration. Further research is needed to improve prediction accuracy for soils, as the current models exhibit limitations in this regard.

Abstract Image

光声傅立叶变换中红外光谱估计生物基肥料和改良剂土壤中植物速效磷
磷(P)是农作物生产的一种关键养分,人们对从粪便和消化物等有机材料中获取磷的兴趣越来越大。快速估算有机改良剂及其在土壤中的应用对支持管理决策和最大化磷利用效率至关重要。在这项研究中,我们研究了利用光声傅立叶变换中红外光谱(FTIR-PAS)预测生物基肥料(BBF)和BBF改良土壤(Soil-A和Soil-B)中植物速效磷(PAP)。使用FTIR-PAS仪器(Nicolet 6700, ThermoScientific, USA)记录60个BBF样品(如牛粪、鸡粪、猪粪和基质)和60个BBF样品与两种土壤类型混合的光谱:soil - a(具有沙质壤土质地的luvisol)和soil - b(具有壤土-砂质地的腐殖质-灰化土)。在孵育的第一天和第七天进行测量。利用48个样本的训练集建立了偏最小二乘回归(PLSR)模型,并用12个样本的测试集对3种情况(BBF、BBF修正土壤a和BBF修正土壤b)在两个孵育时间点进行了验证。FTIR-PAS预测BBF PAP的准确性更高(R2=0.84;RMSE = 1.51 g kg - 1)。土壤- a的预测精度较高(R2= 0.72-0.81;RMSE = 26.6 ~ 30.32 mg kg−1)比Soil-B要好(R2=0.19 ~ 0.22;RMSE = 46.3-50.6 mg kg−1)。随着孵育时间延长至7天,FTIR-PAS的准确性略有下降(R2降低3%)。综上所述,FTIR-PAS在BBF和BBF改良土壤中显示出估算PAP的前景,但需要特别考虑土壤的质地和类型。由于目前的模型在这方面存在局限性,需要进一步研究以提高土壤的预测精度。
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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