TMT-based quantitative proteomic analysis reveals eggshell matrix protein changes correlated with eggshell quality in Jing Tint 6 laying hens of different ages.

The decline in eggshell quality resulting from aging hens poses a threat to the financial benefits of the egg industry. The deterioration of eggshell quality with age can be attributed to changes in its ultrastructure and chemical composition. Specific matrix proteins in eggshells have a role in controlling crystal growth and regulating structural organization. However, the variations in ultrastructure and organic matrix of eggshells in aging hens remain poorly understood. This study assessed the physical traits, mechanical quality, chemical content, as well as the microstructural and nanostructural properties of eggs from Jing Tint 6 hens at 38, 58, 78, and 108 wk of age. Subsequently, a quantitative proteomic analysis was conducted to identify differences in protein abundance in eggshells between the ages of 38 and 108 wk. The results indicated a notable decline in shell thickness, breaking strength, index, fracture toughness, and stiffness in the 108-wk-age group compared to the other groups (P < 0.05). The ultrastructure variations primarily involved an increased ratio of the mammillary layer and a reduced thickness of the effective layer of eggshell in the 108-wk-age group (P < 0.05). However, no significant differences in eggshell compositions were observed among the various age groups (P > 0.05). Proteomic analysis revealed the identification of 76 differentially expressed proteins (DEPs) in the eggshells of the 38-wk-age group and 108-wk-age group, which comprised proteins associated with biomineralization, calcium ion binding, immunity, as well as protein synthesis and folding. The downregulation of ovocleidin-116, osteopontin, and calcium-ion-related proteins, together with the upregulation of ovalbumin, lysozyme C, and antimicrobial proteins, has the potential to influence the structural organization of the eggshell. Therefore, the deterioration of eggshell quality with age may be attributed to the alterations in ultrastructure and the abundance of matrix proteins.

Distribution of Metallic Elements in Four Group Components of High-Temperature Coal Tar Pitch.

The metallic elements in high-temperature coal tar pitch (HCTP) will affect the properties of carbon materials produced from the HCTP. The study on the metallic elements in HCTP is essential for the quality improvement of its derived carbon materials. In this paper, the content of 15 metallic elements in HCTP and its four group components, including n-heptane-soluble substance (HS), n-heptane-insoluble-toluene-soluble substance (HI-TS), toluene-insoluble-quinoline-soluble substance (TI-QS), and quinoline-insoluble substance (QI), was determined. The results show that the content of Na, Ca, Fe, Mg, Zn, K, Pb, and Al is more than 100 ppm and is much higher than that of other metallic elements. The content of Ni, V, Cr, Mo, Sb, Cu, and Mn ranges from 0 to 50 ppm. By mass calculation of the contents of four group components in HCTP, it can be concluded that Na and Fe are randomly distributed in the group components. Al, Zn, Pb, V, and Mn are mainly distributed in the inorganic form in the QI component. Ca, Mg, K, Ni, Cr, Mo, Sb, and Cu are mainly distributed in the small molecular group components such as HS and HI-TS.

A Comparison between the Egg Yolk Flavor of Indigenous 2 Breeds and Commercial Laying Hens Based on Sensory Evaluation, Artificial Sensors, and GC-MS.

The focus of this study was to compare the yolk flavor of eggs from laying hens of Chinese indigenous and commercial, based on detection of volatile compounds, fatty acids, and texture characteristics determination, using sensory evaluation, artificial sensors (electronic nose (E-nose), electronic tongue (E-tongue)), and gas chromatography-mass spectrometry (GC-MS). A total of 405 laying hens (Hy-Line Brown (n = 135), Xueyu White (n = 135), and Xinyang Blue (n = 135)) were used for the study, and 540 eggs (180 per breed) were collected within 48 h of being laid and used for sensory evaluation and the instrument detection of yolk flavor. Our research findings demonstrated significant breed differences for sensory attributes of egg yolk, based on sensory evaluation and instrument detection. The milky flavor, moisture, and compactness scores (p < 0.05) of egg yolk from Xueyu White and Xinyang Blue were significantly higher than that of Hy-Line Brown. The aroma preference scores of Xinyang Blue (p < 0.05) were significantly higher, compared to Hy-Line Brown and Xueyu White. The sensor responses of WIW and W2W from E-nose and STS from E-tongue analysis were significantly higher foe egg yolks of Hy-Line Brown (p < 0.05), compared to that of Xueyu White and Xinyang Blue. Additionally, the sensor responses of umami from E-tongue analysis, was significantly higher for egg yolks of Xueyu White (p < 0.05), compared to that of Hy-Line Brown and Xinyang Blue. Besides, the contents of alcohol and fatty acids, such as palmitic acid, oleic acid, and arachidonic acid, in egg yolk were positively correlated with egg flavor. The texture analyzer showed that springiness, gumminess, and hardness of Hy-Line Brown and Xueyu White (p < 0.05) were significantly higher, compared to Xinyang Blue. The above findings demonstrate that the egg yolk from Chinese indigenous strain had better milky flavor, moisture, and compactness, as well as better texture. The egg yolk flavors were mainly due to presence of alcohol and fatty acids, such as palmitic acid, oleic acid, and arachidonic acid, which would provide research direction on improvement in egg yolk flavor by nutrition. The current findings validate the strong correlation between the results of egg yolk flavor and texture, based on sensory evaluation, artificial sensors, and GC-MS. All these indicators would be beneficial for increased preference for egg yolk flavor by consumers and utilization by food processing industry, as well as a basis for the discrimination of eggs from different breeds of laying hens.

Release characteristics of elemental mercury during low calorific value coal combustion.

The dynamic release characteristics of Hg0 during low calorific value coal combustion were investigated in a combining laboratory-scale furnace coupled with atomic fluorescence spectroscopy. The results show that the sulfur has an inhibitory effect on the homogeneous oxidation of Hg0 in flue gas. The instant intensity of Hg0 release increases with increasing temperature while the amount of Hg0 release gradually decreases with increasing temperature. Compared with that under air, the instant intensity of Hg0 release under O2/CO2 atmosphere increases to some extent with a lower decreasing rate of Hg0 release peak. The release ratio of elemental mercury (Hg) from Yuwu (YW) and Qinxin (QX) coal increases while that from Yonghao (YH) coal decreases under O2/CO2 atmosphere. In the range of 800-1100°C, the release rate of Hg reaches more than 96% under the residence time of 50 s.

Heavy metals removal from sewage sludge with mixed chelators of N, N-bis(carboxymethyl) glutamic acid and citric acid.

The mixed chelators (MC) of N, N-bis(carboxymethyl) glutamic acid (GLDA) and citric acid (CA), which were biodegradable chelating ligand, were employed to remove heavy metals from sewage sludge. The extraction of Cd, Cu, Zn, Mn, and Cr from sludge was studied under different experimental conditions. Results showed that the removal efficiencies of heavy metals from both sludges were the highest with MC of GLDA and CA at the molar ratio of 1:5. For the sludge of plant A, the extraction efficiencies increased with increasing contact time, but only slowly increase was observed after 24 h. However, for the sludge of plant B, the removal efficiencies were significantly decreased after 16 h, and sharply decreased after 24 h. The removal efficiencies of heavy metals decreased with the increase of the solution pH, while they increased with the increase of the solution concentration. For the sludge of plant A, single washing with 200 mmol·L-1 MC might be favourable to remove heavy metals. However, for the sludge of plant B, duplicate washing with 100 mmol·L-1 MC could remove much more heavy metals. The concentration of Cu in sludge of plant B decreased from 695.79-139.16 mg·kg-1, which was conformed to the standard (GB 4284-2018). These results suggested that MC may be useful and environmentally friendly chelators in the removal of heavy metals from sewage sludge.

Discriminating Eggs from Two Local Breeds Based on Fatty Acid Profile and Flavor Characteristics Combined with Classification Algorithms.

This study discriminated fatty acid profile and flavor characteristics of Beijing You Chicken (BYC) as a precious local breed and Dwarf Beijing You Chicken (DBYC) eggs. Fatty acid profile and flavor characteristics were analyzed to identify differences between BYC and DBYC eggs. Four classification algorithms were used to build classification models. Arachidic acid, oleic acid (OA), eicosatrienoic acid, docosapentaenoic acid (DPA), hexadecenoic acid, monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), unsaturated fatty acids (UFA) and 35 volatile compounds had significant differences in fatty acids and volatile compounds by gas chromatography-mass spectrometry (GC-MS) (p<0.05). For fatty acid data, k-nearest neighbor (KNN) and support vector machine (SVM) got 91.7% classification accuracy. SPME-GC-MS data failed in classification models. For electronic nose data, classification accuracy of KNN, linear discriminant analysis (LDA), SVM and decision tree was all 100%. The overall results indicated that BYC and DBYC eggs could be discriminated based on electronic nose with suitable classification algorithms. This research compared the differentiation of the fatty acid profile and volatile compounds of various egg yolks. The results could be applied to evaluate egg nutrition and distinguish avian eggs.

Comparison of Sensory Qualities in Eggs from Three Breeds Based on Electronic Sensory Evaluations.

The present study was conducted on three commercial laying breeder strains to evaluate differences of sensory qualities, including texture, smell, and taste parameters. A total of 140 eggs for each breed were acquired from Beinong No.2 (B) laying hens, Hy-Line Brown (H) laying hens, and Wuhei (W) laying hens. Sensory qualities of egg yolks and albumen from three breeds were detected and discriminated based on different algorithms. Texture profile analysis (TPA) showed that the eggs from three breeds had no differences in hardness, adhesiveness, springiness, and chewiness other than cohesiveness. The smell profiles measured by electronic nose illustrated that differences existed in all 10 sensors for albumen and 8 sensors for yolks. The taste profiles measured by electronic tongue found that the main difference of egg yolks and albumen existed in bitterness and astringency. Principal component analysis (PCA) successfully showed grouping of three breeds based on electronic nose data and failed in grouping based on electronic tongue data. Based on electronic nose data, linear discriminant analysis (LDA), fine k-nearest neighbor (KNN) and linear support vector machine (SVM) were performed to discriminate yolks, albumen, and the whole eggs with 100% classification accuracy. While based on electronic tongue data, the best classification accuracy was 96.7% for yolks by LDA and fine tree, 88.9% for albumen by LDA, and 87.5% for the whole eggs by fine KNN. The experiment results showed that three breeds' eggs had main differences in smells and could be successfully discriminated by LDA, fine KNN, and linear SVM algorithms based on electronic nose.

Comparison of cyanoacrylate and hookwire for localizing small pulmonary nodules: A propensity-matched cohort study.

BACKGROUND: Localizing small pulmonary nodules (SPNs) is a challenge during thoracoscopic resection, but preoperative computed tomography (CT)-guided localization using either cyanoacrylate or hookwire can be helpful. This study compared the safety, efficiency, and operability of the two techniques. METHODS: From September 2013 to November 2018, 269 patients (269 SPNs) who underwent preoperative CT-guided SPN localization were enrolled. A propensity-matched analysis, incorporating 13 variables, was performed to control potential selection bias. RESULTS: All the patients were divided into two groups: CT-guided cyanoacrylate localization group (Group C, n = 149) and CT-guided hookwire localization group (Group H, n = 120). Eighty-six patients were propensity-matched in each group. All SPNs were successfully removed thoracoscopically, and no conversion was required. Localization-related complications in the two groups were similar, including intrapulmonary focal hemorrhage (p = 0.823), pneumothorax (p = 1.000), or hemoptysis (p = 0.121). For pain assessment and management, the cyanoacrylate localization saw a lower pain score (p < 0.001) and less morphine use (p < 0.001). In Group H, the localization took a significantly longer time (p < 0.001). Covering only the patients in Group C, the sub-analysis found that cyanoacrylate localization on the day before surgery did not compromise the accuracy of intraoperative targeting or increase the incidence of complications, compared with the localization on the day of surgery (all p > 0.05). CONCLUSION: Compared to hookwire localization, CT-guided cyanoacrylate localization decreased pain and morphine use and allowed flexible surgical schedules, suggestive of its preferability for the resection of SPNs.

Computed tomography-guided cyanoacrylate localization of small pulmonary nodules: feasibility and initial experience.

OBJECTIVES: We report our initial technical experience with computed tomography (CT)-guided cyanoacrylate localization for resection of small pulmonary nodules (SPNs) and evaluate the feasibility of this technique. METHODS: Between June 2016 and December 2017, the diagnostic results of 55 consecutive patients (69 SPNs) who underwent preoperative CT-guided cyanoacrylate localization and consequent video-assisted thoracoscopic surgery (VATS) resection were retrospectively evaluated. Localization-related outcomes and perioperative outcomes were assessed. RESULTS: Preoperative CT-guided cyanoacrylate localization was successfully performed in all the cases. Simultaneous localization was achieved in 8 (14.5%) patients with 2 nodules and 3 (5.5%) patients with 3 nodules. The mean size of the nodules was 8.5 ± 3.2 mm (range 5-20 mm), and their mean depth from the nearest pleural surface was 10.9 ± 7.7 mm (range 2-36 mm). The overall mean localization procedural time was 13.7 ± 7.2 min (range 6-37 min). Two localization-related complications (intrapulmonary focal haemorrhage and pneumothorax) were observed in 7 (12.7%) and 12 (21.8%) patients, respectively. All patients with complications were asymptomatic and received conservative treatment only. All SPNs were resected under VATS without any conversion to minithoracotomy or thoracotomy. CONCLUSIONS: CT-guided cyanoacrylate localization is a feasible procedure to localize SPNs. The advantages of this technique include flexibility between insertion and excision, the ability to be applied to the whole lung field, a high success rate, patient comfort after insertion and a fast learning curve. Further studies are warranted to confirm the efficacy of this technique.

Reevaluation of the efficacy of preoperative computed tomography-guided hook wire localization: A retrospective analysis.

BACKGROUND: Small pulmonary nodules (SPNs) often cannot be accurately located during video-assisted thoracoscopic (VATS) resection, and preoperative computed tomography (CT)-guided localization performed using hook wire placement can be helpful. However, recent studies revealed a trend towards more frequent and severe complications occurring in association with hook wire insertion. The aim of this study is to reevaluate the safety, and reliability of the preoperative CT-guided hook wire localization technique and also identify the risk factors for localization-related pneumothorax. METHODS: This retrospective study enrolled 95 patients (with 105 pulmonary nodules) who underwent preoperative CT-guided hook wire localization and followed VATS resection from January 2013 to September 2016. Univariate and multivariate logistic regression analyses were used to identify factors associated with localization-related pneumothorax. RESULTS: All the 105 nodules were successfully localized. Two (1.9%) hook wires dislodged before VATS resection. Mean largest diameter of the nodules was 10.1 mm (range, 3-19 mm). Mean depth from the nearest pleural surface was 11.2 mm (range, 2-38 mm). Mean needle insertion depth was 24.3 mm (range, 4-49 mm), and mean procedure time was 17.3 min (range, 7-48 min). Asymptomatic pneumothorax was observed in 18 patients (18.9%) and hemorrhage in 7 patients (7.4%). Multivariate logistic regression analysis revealed the number of needle insertions (OR 8.893, p = 0.019) as the only significant independent risk factor of pneumothorax. CONCLUSIONS: CT-guided hook wire localization is a safe, reliable and convenient technique and can be applied widely to facilitate the resection of SPNs. Simultaneous localization for multiple nodules in ipsilateral lung may be associated with a higher risk of localization-related pneumothorax.