TY - JOUR
T1 - Raw material quality assessment approaches comparison in pectin production
AU - André Fernandes Caroço, Ricardo
AU - Bevilacqua, Marta
AU - Armagan, Ibrahim
AU - Santacoloma, Paloma A.
AU - Abildskov, Jens
AU - Skov, Thomas
AU - Huusom, Jakob Kjøbsted
PY - 2019/3/1
Y1 - 2019/3/1
N2 - Different opportunities are explored to evaluate quality variation in raw materials from biological origin. Assessment of raw materials attributes is an important step in a bio-based production as fluctuations in quality are a major source of process disturbance. This can be due to a variety of biological, seasonal, and supply scarcity reasons. The final properties of a product are invariably linked with the initial properties of the raw material. Thus, the operational conditions of a process can be tuned to drive the product to the required specification based on the quality assessment of the raw material being processed. Process analytical technology tools which enable this assessment in a far more informative and rapid manner than current industrial practices that rely on rule-of-thumb decisions are assessed. An example with citrus peels is used to demonstrate the conceptual and performance differences of distinct quality assessment approaches. The analysis demonstrates the advantage of characterization through multivariate data analysis coupled with a complementary spectroscopic technique, near-infrared spectroscopy. The quantitative comparative analysis of three different approaches, discriminant classification based on expert-knowledge, unsupervised classification, and spectroscopic correlation with reference physicochemical variables, is performed in the same dataset context.
AB - Different opportunities are explored to evaluate quality variation in raw materials from biological origin. Assessment of raw materials attributes is an important step in a bio-based production as fluctuations in quality are a major source of process disturbance. This can be due to a variety of biological, seasonal, and supply scarcity reasons. The final properties of a product are invariably linked with the initial properties of the raw material. Thus, the operational conditions of a process can be tuned to drive the product to the required specification based on the quality assessment of the raw material being processed. Process analytical technology tools which enable this assessment in a far more informative and rapid manner than current industrial practices that rely on rule-of-thumb decisions are assessed. An example with citrus peels is used to demonstrate the conceptual and performance differences of distinct quality assessment approaches. The analysis demonstrates the advantage of characterization through multivariate data analysis coupled with a complementary spectroscopic technique, near-infrared spectroscopy. The quantitative comparative analysis of three different approaches, discriminant classification based on expert-knowledge, unsupervised classification, and spectroscopic correlation with reference physicochemical variables, is performed in the same dataset context.
KW - chemometrics
KW - near-infrared spectroscopy
KW - pectin
KW - process analytical technology
KW - raw material
U2 - 10.1002/btpr.2762
DO - 10.1002/btpr.2762
M3 - Journal article
C2 - 30507037
AN - SCOPUS:85054030726
SN - 8756-7938
VL - 35
SP - 1
EP - 13
JO - Biotechnology Progress
JF - Biotechnology Progress
IS - 2
M1 - e2762
ER -