Giulia Gorla
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View article: Challenges and spectra interpretability in textile sorting: NIR hyperspectral images and chemometrics
Challenges and spectra interpretability in textile sorting: NIR hyperspectral images and chemometrics Open
The accurate sorting and recycling of textiles are crucial for reducing waste and promoting sustainability, but the inherent complexity of textile materials presents significant challenges. This study explores the potential of Near-Infrare…
View article: Understanding the boundaries of “Spectral Unmixing”: Considerations for reliable mineralogical interpretation in remote sensing and space missions.
Understanding the boundaries of “Spectral Unmixing”: Considerations for reliable mineralogical interpretation in remote sensing and space missions. Open
The growing availability of hyperspectral data from planetary missions ranging from CubeSats to flagship programs has led to many studies aiming to infer surface mineralogy through remote sensing techniques. The Moon Mineralogical Mapper (…
View article: Hyperspectral Raman imaging to understand patterns in dried biofluids in Alzheimer's disease
Hyperspectral Raman imaging to understand patterns in dried biofluids in Alzheimer's disease Open
Raman spectroscopy is an ideal technique for identifying biomarkers in biological fluids. Raman measurements in biofluids are typically carried out based on drop coating deposition Raman spectroscopy, whereby the external ring formed by th…
View article: Non-invasive identification of historical textiles and leather by means of external reflection FTIR spectroscopy
Non-invasive identification of historical textiles and leather by means of external reflection FTIR spectroscopy Open
Identifying the fibres in historical textiles presents a complex challenge due to the wide variety of plant, animal and early synthetic materials that have been used. Traditionally, this identification process involves sampling followed by…
View article: A Multivariate Analysis-Driven Workflow to Tackle Uncertainties in Miniaturized NIR Data
A Multivariate Analysis-Driven Workflow to Tackle Uncertainties in Miniaturized NIR Data Open
This study focuses on exploring and understanding measurement errors in analytical procedures involving miniaturized near-infrared instruments. Despite recent spreading in different application fields, there remains a lack of emphasis on t…
View article: Miniaturized NIR Spectrometers in a Nutshell: Shining Light over Sources of Variance
Miniaturized NIR Spectrometers in a Nutshell: Shining Light over Sources of Variance Open
The increasing portability and accessibility of miniaturized NIR spectrometers are promoting the spread of in-field and online applications. Alongside the successful outcomes, there are also several problems related to the acquisition stra…
View article: Historical Silk: A Novel Method to Evaluate Degumming with Non-Invasive Infrared Spectroscopy and Spectral Deconvolution
Historical Silk: A Novel Method to Evaluate Degumming with Non-Invasive Infrared Spectroscopy and Spectral Deconvolution Open
To correctly manage a collection of historical silks, it is important to detect if the yarn has been originally subjected to degumming. This process is generally applied to eliminate sericin; the obtained fiber is named soft silk, in contr…
View article: On the Importance of Investigating Data Structure in Miniaturized NIR Spectroscopy Measurements of Food: The Case Study of Sugar
On the Importance of Investigating Data Structure in Miniaturized NIR Spectroscopy Measurements of Food: The Case Study of Sugar Open
Alongside the increasing proofs of efficacy of miniaturized NIR instruments in food-related scenarios, it is progressively growing the number of end-users, even incentivized by the low-cost of the sensors. While attention is paid to the an…
View article: Rapid Analysis of Milk Using Low-Cost Pocket-Size NIR Spectrometers and Multivariate Analysis
Rapid Analysis of Milk Using Low-Cost Pocket-Size NIR Spectrometers and Multivariate Analysis Open
The miniaturisation of analytical devices, reduction of analytical data acquisition time, or the reduction of waste generation throughout the analytical process are important requirements of modern analytical chemistry, and in particular o…