Rapid detection of carbon-nitrogen ratio for anaerobic fermentation feedstocks using near-infrared spectroscopy combined with BiPLS and GSA

Improved energy utilization efficiency via adding solar radiant heating mode for traditional bioreactor to dispose straw: Experimental and numerical evaluation

(2019) Changyu Liu et al.   WASTE MANAGEMENT

Impact of temperature fluctuation on anaerobic fermentation process of upgrading bioreactor under solar radiant heating

(2019) Changyu Liu et al.   APPLIED THERMAL ENGINEERING

Furfural wastewater pretreatment of corn stalk for whole slurry anaerobic co-digestion to improve methane production

(2019) Zhi Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Prediction of amino acids, caffeine, theaflavins and water extract in black tea using FT-NIR spectroscopy coupled chemometrics algorithms

(2018) Muhammad Zareef et al.   Analytical Methods

Accurate and rapid detection of soil and fertilizer properties based on visible/near-infrared spectroscopy

(2018) Zhidan Lin et al.   APPLIED OPTICS

Performance enhancement by rumen cultures in anaerobic co-digestion of corn straw with pig manure

(2018) Wenyao Jin et al.   BIOMASS & BIOENERGY

Feasibility of using visible and near-infrared reflectance spectroscopy to monitor heavy metal contaminants in urban lake sediment

(2018) Qinghu Jiang et al.   CATENA

Effect of solar irradiance on photo biochemical transformation process of direct absorption methane digester

(2018) Changyu Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Spectral Detection Techniques for Non-Destructively Monitoring the Quality, Safety, and Classification of Fresh Red Meat

(2018) Wenxiu Wang et al.   Food Analytical Methods

Near infrared system coupled chemometric algorithms for enumeration of total fungi count in cocoa beans neat solution

(2018) Felix Y.H. Kutsanedzie et al.   FOOD CHEMISTRY

Real-time inspection of pork quality attributes using dual-band spectroscopy

(2018) Wenxiu Wang et al.   JOURNAL OF FOOD ENGINEERING

Evaluation of methane yield using acidogenic effluent of NaOH pretreated corn stover in anaerobic digestion

(2018) Chun Mei Liu et al.   RENEWABLE ENERGY

An efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data

(2018) Saheleh Sheykhizadeh et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Simultaneous measurement of contents of liquirtin and glycyrrhizic acid in liquorice based on near infrared spectroscopy

(2018) Yuwei Zhu et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Non-destructive prediction of protein content in wheat using NIRS

(2018) Dandan Ye et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Robust Vis-NIRS models for rapid assessment of soil organic carbon and nitrogen in Feralsols Haplic soils from different tillage management practices

(2018) Nkanyiso J. Sithole et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Optimization of the Enzyme Production Conditions of Bacillus licheniformis and Its Effect on the Degradation of Corn Straw

(2018) Yong Sun et al.   Journal of Biobased Materials and Bioenergy

Fast analysis of high heating value and elemental compositions of sorghum biomass using near-infrared spectroscopy

(2017) Ke Zhang et al.   ENERGY

Classification of fish meal produced in China and Peru by online near infrared spectroscopy with characteristic wavelength variables

(2017) Guanghui Shen et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Portable spectroscopy system determination of acid value in peanut oil based on variables selection algorithms

(2017) Mingxiu Yang et al.   MEASUREMENT

On-line monitoring of extraction process of Flos Lonicerae Japonicae using near infrared spectroscopy combined with synergy interval PLS and genetic algorithm

(2017) Yue Yang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Rapid measurement of epimedin A, epimedin B, epimedin C, icariin, and moisture in Herba Epimedii using near infrared spectroscopy

(2017) Yue Yang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Prediction of organic carbon and total nitrogen contents in organic wastes and their composts by Infrared spectroscopy and partial least square regression

(2017) M. Sisouane et al.   TALANTA

An alternative parameter to characterize biogas materials: Available carbon-nitrogen ratio

(2017) Ming Wang et al.   WASTE MANAGEMENT

Vis-NIR Spectroscopy and PLS Regression with Waveband Selection for Estimating the Total C and N of Paddy Soils in Madagascar

(2017) Kensuke Kawamura et al.   Remote Sensing

A review on alkaline pretreatment technology for bioconversion of lignocellulosic biomass

(2016) Jun Seok Kim et al.   BIORESOURCE TECHNOLOGY

Mass balances and distributions of C, N, and P in the anaerobic digestion of different substrates and relationships between products and substrates

(2016) Heng Li et al.   CHEMICAL ENGINEERING JOURNAL

Combination of fungal and physicochemical processes for lignocellulosic biomass pretreatment – A review

(2016) Ehsan Shirkavand et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Application of the NIR Method to Determine Nutrients in Yerba Mate (Ilex paraguariensisA. St.-Hill) Leaves

(2015) Überson Boaretto Rossa et al.   COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS

Onsite and online FT-NIR spectroscopy for the estimation of total nitrogen and moisture content in poultry manure

(2015) E. Tamburini et al.   ENVIRONMENTAL TECHNOLOGY

Anaerobic co-digestion of chicken manure and corn stover in batch and continuously stirred tank reactor (CSTR)

(2014) Yeqing Li et al.   BIORESOURCE TECHNOLOGY

Qualitative and quantitative analysis of lignocellulosic biomass using infrared techniques: A mini-review

(2013) Feng Xu et al.   APPLIED ENERGY

Selection of representative calibration sample sets for near-infrared reflectance spectroscopy to predict nitrogen concentration in grasses

(2011) Nisha Shetty et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS