A Design of Experiment Rational Optimization of the Degumming Process and Its Impact on the Silk Fibroin Properties

Bucciarelli, Alessio; Greco, Gabriele H.; Corridori, Ilaria; Pugno, Nicola; Motta, Antonella

doi:10.1021/acsbiomaterials.0c01657

Cited by 52 publications

(53 citation statements)

References 86 publications

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“…Models with a perfect fitting have an r 2 = 1. A desirability approach has been used to perform the numerical optimization, this method is quite general and has been applied to solve different typology of problems, from the inkjet printing optimization [25][26][27] to biopolymer processing [28][29][30]. This method is based on the desirability functions which value can vary in the [1,0] range, where 1 represents the optimum solution.…”

Section: Methodsmentioning

confidence: 99%

Dataset of the Optimization of a Low Power Chemoresistive Gas Sensor: Predictive Thermal Modelling and Mechanical Failure Analysis

Gaiardo

Novel

Scattolo

et al. 2021

Data

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Over the last few years, employment of the standard silicon microfabrication techniques for the gas sensor technology has allowed for the development of ever-small, low-cost, and low-power consumption devices. Specifically, the development of silicon microheaters (MHs) has become well established to produce MOS gas sensors. Therefore, the development of predictive models that help to define a priori the optimal design and layout of the device have become crucial, in order to achieve both low power consumption and high mechanical stability. In this research dataset, we present the experimental data collected to develop a specific and useful predictive thermal-mechanical model for high performing silicon MHs. To this aim, three MH layouts over three different membrane sizes were developed by using the standard silicon microfabrication process. Thermal and mechanical performances of the produced devices were experimentally evaluated, by using probe stations and mechanical failure analysis, respectively. The measured thermal curves were used to develop the predictive thermal model towards low power consumption. Moreover, a statistical analysis was finally introduced to cross-correlate the mechanical failure results and the thermal predictive model, aiming at MH design optimization for gas sensing applications. All the data collected in this investigation are shown.

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Section: Methodsmentioning

confidence: 99%

Dataset of the Optimization of a Low Power Chemoresistive Gas Sensor: Predictive Thermal Modelling and Mechanical Failure Analysis

Gaiardo

Novel

Scattolo

et al. 2021

Data

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“…This process involves the use of a hot bath of Sodium Carbonate ( Na 2 CO 3 ) in which the cut cocoons are immersed for a determined amount of time. This allows the solubilization of the sericin, while the internal fibroin fibers remain intact [9] (SEM images of Fig. 1 B).…”

Section: Data Descriptionmentioning

confidence: 99%

“…1 C and involves 4 main factors: A-Number of baths, B-Process time, C-Process temperature, and D-Salt concentration. The process was studied in detail using a 2 4 Design of Experiment (DoE) [10] approach, which results are reported in our previous study [9] . This methodology allowed us to build predictive models of the properties of interest (called yield) based on the process parameters (called factors) [11 , 12] without any consideration about the underlining chemical and physical mechanisms that are usually taken into account in mechanistic approaches.…”

Section: Data Descriptionmentioning

confidence: 99%

Tidy dataset of the experimental design of the optimization of the alkali degumming process of Bombyx mori silk

et al. 2021

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Silk fibroin is the structural fiber of the silk filament and it is usually separated from the external protein, named sericine, by a chemical process called degumming. This process consists of an alkali bath in which the silk cocoons are boiled for a determined time. It is also known that the degumming process impacts the property of the outcoming silk fibroin fibers. In this work, we described the dataset obtained from a Design of Experiment (DoE) screening made on the alkali degumming. Four process factors were considered: the number of degumming baths, the process time, the process temperature, and the salt concentration. The data on the properties of the silk fibroin fibers were collected. In particular, the molecular weight was obtained by gel permeation chromatography (GPC), the mechanical data by tensile test and the secondary structure by Fourier Infrared Transform Spectroscopy (FTIR).

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“…Degummed silk fibroin was obtained by a modified version of a well-established protocol [5,6]. Briefly, the cocoons (imported from Chul Thai Silk Co., Phetchabun, Thailand) were cut into pieces and placed in a 0.01 M hot bath of sodium carbonate (Na 2 CO 3 , Sigma-Aldrich, St. Louis, MO, USA) for 1 h, which was followed by a second immersion in a bath with a concentration of 0.003 M for 1 h. The resultant silk fibroin (SF), progressively taken at room temperature, was carefully rinsed three times using ultra-pure water and then dried for 2 days.…”

Section: Silk Fibroin Degummingmentioning

confidence: 99%

“…Fibroin possesses several interesting properties, including an incredibly high mechanical strength, an excellent biocompatibility, and a high transparency when used as a film. In addition, among other biopolymers (i.e., keratin [1], chitosan [2], alginate [3], and gelatin [4]), fibroin is extremely versatile and can be used to prepare a vast variety of materials [5,6].…”

Section: Introductionmentioning

confidence: 99%

Imaging the Morphological Structure of Silk Fibroin Constructs through Fluorescence Energy Transfer and Confocal Microscopy

Bucciarelli

Quaranta

Maniglio

2021

Electronic Materials

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Silk fibroin is a well-known biopolymer that is used in several applications in which interactions with biological tissue are required. Fibroin is extremely versatile and can be shaped to form several constructs that are useful in tissue engineering applications. Confocal imaging is usually performed to test cell behavior on a construct, and, in this context, the fibroin intrinsic fluorescence is regarded as a problem. In addition, the intrinsic fluorescence is not intense enough to provide useful morphological images. In fact, to study the construct’s morphology, other techniques are used (i.e., SEM and Micro-CT). In this work, we propose a method based on fluorescence energy transfer (FRET) to suppress the fibroin intrinsic fluorescence and move it to a higher wavelength that is accessible to confocal microscopy for direct imaging. This was done by creating two FRET couples by dispersing two fluorophores (2,5-diphenyloxazole (PPO) and Lumogen F Violet 570 (LV)) into the fibroin matrix and optimizing their percentages to suppress the fibroin intrinsic fluorescence. With the optimized composition, we produced an electrospun mat, and the dimensions of the fibers were accurately determined by confocal microscopy.

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A Design of Experiment Rational Optimization of the Degumming Process and Its Impact on the Silk Fibroin Properties

Cited by 52 publications

References 86 publications

Dataset of the Optimization of a Low Power Chemoresistive Gas Sensor: Predictive Thermal Modelling and Mechanical Failure Analysis

Dataset of the Optimization of a Low Power Chemoresistive Gas Sensor: Predictive Thermal Modelling and Mechanical Failure Analysis

Tidy dataset of the experimental design of the optimization of the alkali degumming process of Bombyx mori silk

Imaging the Morphological Structure of Silk Fibroin Constructs through Fluorescence Energy Transfer and Confocal Microscopy

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