CaponigroVMariniFGowenA. Hydration of hydrogels studied by near-infrared hyperspectral imaging. J Chemometr2018; 32: 2972.
2.
XuJ-LGowenAASunD-W. Time series hyperspectral chemical imaging (HCI) for investigation of spectral variations associated with water and plasticizers in casein based biopolymers. J Food Eng2018; 218: 88–105.
3.
Catelli E, Sciutto G, Prati S, et al. Characterization of outdoor bronze monument patinas: the potentialities of near-infrared spectroscopic analysis. Environmental Science and Pollution Research 2018; 1–15.
4.
SciuttoGPratiSBonaciniIet al.FT-NIR microscopy: an advanced spectroscopic approach for the characterisation of paint cross-sections. Microchem J2014; 122: 87–96.
5.
BiancolilloATomassettMBucciRet al.Ancient human bones studied and compared by near infrared spectroscopy, thermogravimetry and chemometrics. JNIRS2019; 27: 6–14.
6.
ManciniMDucaDToscanoG. Laboratory customized on-line measurements for the prediction of the key-parameters of biomass quality control. JNIRS2019; 27: 15–25.
7.
Franceschini MA. Advances in measuring cerebral oxygen delivery and consumption in the clinic. Optics InfoBase Conf Pap 2016;1. ISBN: 978-194358010-1.
8.
Tamborini D, Carp S, Cheng X, et al. Review of time-domain diffuse correlation spectroscopy: from theory to human subject studies. Optics InfoBase Conf Pap Part F91 – transl 2018; DOI: 10.1364/TRANSLATIONAL.2018.JTu3A.53.
9.
PetrilloMSandakJGrossiPet al.Chemical and appearance changes of wood due to artificial weathering – dose-response model. JNIRS2019; 27: 26–37.
10.
GiovenzanaVTugnoloACassonAet al.Application of visible-near infrared spectroscopy to evaluate the quality of button mushrooms. JNIRS2019; 27: 38–45.
11.
AlfieriMCabassiGHabyarimanaEet al.Discrimination and prediction of polyphenolic compounds and total antioxidant capacity in sorghum grains. JNIRS2019; 27: 46–53.
12.
VanoliMGrassiMLovatiFet al.Influence of innovative coatings on salami ripening assessed by near infrared spectroscopy and aquaphotomics. JNIRS2019; 27: 54–64.
13.
BisuttiVMerlantiRServaLet al.Multivariate and machine learning approaches for honey botanical origin authentication using near infrared spectroscopy. JNIRS2019; 27: 65–74.
14.
ServaLBalzanSBisuttiVet al.Use of near infrared spectroscopy and chemometrics to evaluate the shelf-life of cloudy sonicated apple juice. JNIRS2019; 27: 75–85.
15.
BuccheriMGrassiMLovatiFet al.Near infrared spectroscopy in the supply chain monitoring of Annurca apple. JNIRS2019; 27: 86–92.
16.
TugnoloABeghiRGiovenzanaVet al.Characterization of green, roasted beans, and ground coffee using near infrared spectroscopy: a comparison of two devices. JNIRS2019; 27: 93–104.