Energy characteristics assessment of olive pomace by means of FT-NIR spectroscopy
Creators
- 1. Department of Agricultural, Food and Environmental Sciences, Università Politecnica delle Marche, via Brecce Bianche, Ancona, 60131 (Italy)
Description
Highlights: • Several samples of olive pomace from Marche region were collected and characterized. • NIR spectra were acquired for samples with fiberoptic probe and integrating sphere. • Multivariate models were developed to obtain qualitative and quantitative information. • Information on oil extraction process and composition of olive pomace were obtained. • Moisture content, gross calorific value and ash content can be carefully predicted. Biomass is an important renewable energy source, in particular if obtained by residues it becomes even more sustainable. In Italy, residual biomass coming from olive oil industry, i.e. olive pomace, is produced in a significant amount and is concentrated in olive oil extraction sites, making interesting a possible valorisation of these residues. The different extraction processes employed influence the pomace quality and, consequently, it is fundamental to find a rapid technique to assess its physical and chemical characteristics for a correct valorisation. The aim of the work was to develop a NIR-based methodology to obtain in a fast and cheap way information about olive pomace. Several samples (n = 104) were collected in Marche region and analysed according to standards methods. NIR spectra were acquired using both fiberoptic probe and integrating sphere and subsequently were elaborated with multivariate techniques, i.e. principal component analysis (PCA) and partial least square regression (PLS). Results show that information on extraction process and composition of the pomace can be obtained. Prediction models with performance suitable for quality control applications were obtained for moisture and ash contents, whereas gross calorific value model was suitable only for screening application.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.energy.2018.01.035Additional details
Identifiers
- DOI
- 10.1016/j.energy.2018.01.035;
- PII
- S0360544218300410;
Publishing Information
- Journal Title
- Energy (Oxford)
- Journal Volume
- 147
- Journal Page Range
- p. 51-58
- ISSN
- 0360-5442
- CODEN
- ENEYDS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53001142
- Subject category
- S09: BIOMASS FUELS;
- Descriptors DEI
- ASH CONTENT; BIOMASS; CALORIFIC VALUE; EXTRACTION; FOURIER TRANSFORM SPECTROMETERS; ITALY; LEAST SQUARE FIT; MOISTURE; MULTIVARIATE ANALYSIS; NEAR INFRARED RADIATION; OLIVE OIL; PRINCIPAL COMPONENT ANALYSIS; QUALITY CONTROL; SPECTROSCOPY
- Descriptors DEC
- COMBUSTION PROPERTIES; CONTROL; DEVELOPED COUNTRIES; ELECTROMAGNETIC RADIATION; ENERGY SOURCES; ESTERS; EUROPE; INFRARED RADIATION; LIPIDS; MATHEMATICAL SOLUTIONS; MATHEMATICS; MAXIMUM-LIKELIHOOD FIT; MEASURING INSTRUMENTS; NUMERICAL SOLUTION; OILS; ORGANIC COMPOUNDS; OTHER ORGANIC COMPOUNDS; RADIATIONS; RENEWABLE ENERGY SOURCES; SEPARATION PROCESSES; SPECTROMETERS; STATISTICS; TRIGLYCERIDES; VEGETABLE OILS; WESTERN EUROPE
Optional Information
- Copyright
- Copyright (c) 2018 Elsevier Ltd. All rights reserved.