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This study proposes a new visible near-infrared spectral analysis method by abandoning the traditional feature engineering-based method. It presents a dual-branch convolutional neural network (CNN) with bilinear pooling, combined with synchronous-asynchronous two-dimensional correlation spectroscopy (2D-COS) images, for quantifying pork freshness. 2D-COS images revealed spectral correlations of pork with different freshness at different bands, effectively separating overlapping bands and amplifying spectral differences. A dual-branch CNN using a bilinear pool integrates synchronous and asynchronous features to capture the interactions between features for quantitative analysis. Results demonstrate that the dual-branch CNN achieves high accuracy (R2p=0.9579 and RMSEP=0.8093 mg/100 g) for Total Volatile Basic Nitrogen (TVB-N) content prediction. The mechanism of TVB-N prediction is explained using Gradient-weighted Class Activation Mapping (Grad-CAM), demonstrating the reliability of the proposed method to replace human experience for feature extraction and modeling analysis. In conclusion, this study proposes a new approach for food inspection tasks that is convenient, efficient and human-expertise-independent. • A spectral analysis method based on 2D-COS images and dual-branch CNN is proposed. • 2D-COS can efficiently separate more spectral features for analysis. • Synchronized asynchronous spectral images are fused by a bilinear pooling approach. • Grad-CAM was used to explain the mechanism of the model in TVB-N prediction. [ABSTRACT FROM AUTHOR]

High-efficiency phosphor with excellent luminescence properties and thermal stabilities is essential for phosphor-converted white light-emitting diodes (w-LEDs). Compared with red and green phosphors, near-ultraviolet excited blue phosphors with high efficiency and excellent thermal stability are still scarce, and the development of efficient blue phosphors remains challenging. NaLi 3 SiO 4 : Eu2+ (NLSO: Eu2+) is a promising narrow-band blue phosphor. In this paper, a series of Na 1-y K y Li 3 SiO 4 : 5%Eu2+ (0.05 ≤ y ≤ 0.2) phosphors were successfully synthesized by high-temperature solid-state reaction through co-doping a small amount of K+ ions in the matrix, significantly improving their luminescence property and thermal stability. Because of the weaker electronegativity of K+ ions, the emission peaks of Na 1-y K y Li 3 SiO 4 : 5%Eu2+ were slightly blue-shifted from 467 to 463 nm compared with those of NLSO: Eu2+. With an increase in the number of K+ ions, the luminescence intensity of the phosphors increased. When the content of the K+ ion reached 0.2, the luminescence intensity of the Na 0.8 K 0.2 Li 3 SiO 4 : 5%Eu2+ (NKLSO: 5%Eu2+) phosphor reached its maximum. Compared to the NLSO: 5%Eu2+ phosphor, the luminescence intensity increased by approximately 300 %. At 150 °C, the luminescence intensity of NLSO: 5%Eu2+ phosphor was retained at 75.98 % compared with room temperature, while the NKLSO: 5%Eu2+ phosphor maintained a luminescence intensity of 84.36 % relative to room temperature, demonstrating excellent thermal stability. The enhanced luminescence performance of the NKLSO: Eu2+ phosphor makes it a promising high-efficiency blue phosphor for phosphor-converted w-LEDs. Through co-doping a small amount of K+ ions into the NaLi 3 SiO 4 : Eu2+, significantly improving the luminescence property and thermal stability. [Display omitted] • A series of Na 1-y K y Li 3 SiO 4 : 5%Eu2+ (0.05 ≤ y ≤ 0.2) phosphors were successfully synthesized through co-doping K+ ions in the matrix. The weaker electronegativity of K+ ions makes it easier for Eu3+ to be reduced to Eu2+. • In luminescence properties, when the content of the K+ ion reached 0.2, the luminescence intensity of the Na 0.8 K 0.2 Li 3 SiO 4 : 5%Eu2+ phosphor reached its maximum. Compared to the NaLi 3 SiO 4 : 5%Eu2+ phosphor, the luminescence intensity increased by approximately 300 %. • The Na 0.8 K 0.2 Li 3 SiO 4 : 5%Eu2+ exhibited superior thermal stability compared to NaLi 3 SiO 4 : 5%Eu2+. The luminescent intensity of NaLi 3 SiO 4 : 5%Eu2+ at 150 °C remains 75.98 % of the room temperature intensity, while the luminescent intensity of Na 0.8 K 0.2 Li 3 SiO 4 : 5%Eu2+ is significantly increased to 84.36 %. • The narrowband blue phosphor Na 0.8 K 0.2 Li 3 SiO 4 : 5%Eu2+ is a potential candidate for n-UV excited w-LEDs applications because of its excellent luminescence properties. [ABSTRACT FROM AUTHOR]

A rapid and nondestructive method for identification of soybean protein in minced chicken meat based on visible-near infrared hyperspectral imaging (HSI) technology and VGG16-SVM model was proposed in this study. The hyperspectral data from 400.89 nm to 1000.19 nm of samples with different soybean protein contents were collected. Spectral data was transformed into spectrograms through Continuous wavelet transform (CWT). Comparing with other methods, the optimum data preprocessing results were obtained for the subsequent research. Then, VGG16-SVM model based on VGG16 network in which fully connected layer was replaced by support vector machine (SVM) was established to identify soybean protein in minced chicken meat. The results showed that VGG16-SVM model with radial basis function (RBF) as kernel function performed best and the classification accuracy reached 98.1%. Meanwhile, the proposed model was superior to the SVM, convolution neural network (CNN) and VGG16 model. It is feasible and effective for combining HSI technology and VGG16-SVM to realize nondestructive identification of soybean protein in minced chicken meat. [Display omitted] • HSI was applied for nondestructive identification of soybean protein in meat. • The CWT was proposed for preprocessing hyperspectral data. • The proposed VGG16-SVM classification model achieved the best performance. [ABSTRACT FROM AUTHOR]

Color is an important factor that affects the quality of noodles and consumer purchasing intentions and is an important indicator to measure the quality of noodles. However, the browning problem of fresh wet noodles has become an important factor affecting their quality and restricting their marketability. Therefore, inhibiting the browning of fresh wet noodles has always been one of the research hotspots for improving the quality of noodle products. Physical processing technology has gained widespread attention due to its advantages in terms of green safety and obvious inhibitory effects. Therefore, from this perspective, this review mainly elaborates on the noodle browning pathway and the factors affecting fresh wet noodles browning. Furthermore, the application status of physical processing technologies for controlling fresh wet noodles browning, mainly microwave, irradiation, ozone, and cold plasma, are reviewed and compared. Finally, the development direction to effectively inhibit fresh wet noodles browning was emphasized, providing a theoretical reference for improving fresh wet noodles browning. [Display omitted] • This paper highlights factors affecting fresh noodle browning. • The physical treatments can effectively prevent the browning of noodles. • Problems and challenges in applying these physical techniques are presented. • The combined treatments can effectively prevent the browning of noodles. • A single technical method cannot effectively prevent the browning of noodles. [ABSTRACT FROM AUTHOR]

[Display omitted] Despite the advantages of easy moulding and excellent mechanical properties, there are still some shortcomings with polypropylene (PP) such as high flammability and poor ultra-violet (UV) resistance. In this work, modified zinc oxide (mZnO) was prepared by reacting zinc oxide nanoparticles (ZnO) with polysiloxanes, and the effect of mZnO on the effectiveness of intumescent flame-retardant and on the UV aging resistance of polypropylene were investigated. By introducing 16 wt% (intumescent flame-retardant /mZnO) and 0.3 wt% maleic anhydride-grafted PP (MAH-g-PP), the limiting oxygen index increased to 32.7 %, and passed UL-94V-0 rating. In comparison to the controls, the peak heat release rate and the peak smoke release rate were 88.5 % and 80 % lower, respectively. In addition, PP samples showed improved mechanical properties, with a 5 % increase in tensile properties compared to the pure PP sample. After 100 h of UV irradiation, the surface of the samples was relatively flat and smooth, and the carbonyl index decreased from 81.1 of neat PP to 26.7. PP composites with 100 h aging treatment still had excellent flame retardancy and mechanical properties. The results showed that mZnO was effective in improving the flame retardancy, mechanical properties and light aging tolerance of PP. This study provides a novel approach to fabricate long-life flame-retardant PP composites with low additive content. [ABSTRACT FROM AUTHOR]

Pompano fishes have been widely farmed worldwide. As a representative commercial marine species of the Carangidae family, the golden pompano (Trachinotus blochii) has gained significant popularity in China and worldwide. However, because of rapid growth and high-density aquaculture, the golden pompano has become seriously threatened by various diseases. Cell lines are the most cost-effective resource for in vitro studies and are widely used for physiological and pathological research owing to their accessibility and convenience. In this study, we established a novel immortal cell line, GPF (Golden pompano fin cells). GPF has been passaged over 69 generations for 10 months. The morphology, adhesion and extension processes of GPF were evaluated using light and electron microscopy. GPF cells were passaged every 3 days with L-15 containing 20 % fetal bovine serum (FBS) at 1:3. The optimum conditions for GPF growth were 28 °C and a 20 % FBS concentration. DNA sequencing of 18S rRNA and mitochondrial 16S rRNA confirmed that GPF was derived from the golden pompano. Chromosomal analysis revealed that the number pattern of GPF was 48 chromosomes. Transfection experiments demonstrated that GPF could be utilized to express foreign genes. Furthermore, heavy metals (Cd, Cu, and Fe) exhibited dose-dependent cytotoxicity against GPF. After polyinosinic-polycytidylic acid (poly I:C) treatment, transcription of the retinoic acid-inducible gene I-like receptor (RLR) pathway genes, including mda5 , mita , tbk1 , irf3 , and irf7 increased, inducing the expression of interferon (IFN) and anti-viral proteins in GPF cells. In addition, lipopolysaccharide (LPS) stimulation up-regulated the expression of inflammation-related factors, including myd88 , irak1 , nfκb , il1β , il6 , and cxcl10 expression. To the best of our knowledge, this is the first study on the immune response signaling pathways of the golden pompano using an established fin cell line. In this study, we describe a preliminary investigation of the GPF cell line immune response to poly I:C and LPS, and provide a more rapid and efficient experimental material for research on marine fish immunology. • GPF was established and became a stable fin cell line of Trachinotus blochii. • GPF can be used to assess the cytotoxicity of heavy metals. • GPF can be utilized to express foreign genes with 32 % transfection efficiency. • GPF's immune response to LPS and poly I: C challenge proved it can be used for in vitro immunology study. [ABSTRACT FROM AUTHOR]

To gain a comprehensive understanding of the seasonal variation in the structure of phytoplankton communities in the Southern Yellow Sea (SYS), two research expeditions were conducted from 12 to 24 in April 2019, and from 12 to 22 in October of 2019. During the spring season, the phytoplankton community within the SYS was primarily comprised of diatoms and dinoflagellates, while in autumn, diatoms and cyanobacteria dominated. Thalassiosira rotula and Paralia sulcata were the dominant species in both seasons. In spring, P. sulcata displayed no obvious correlation with any environmental parameter, while in autumn, it exhibited negative correlations with environmental factors. According to the cluster and multidimensional scaling analyses, the phytoplankton community was stratified into three distinct ecological provinces in the SYS: the Western Yellow Sea, the Yellow Sea basin, and the southern coastal region. The phytoplankton community composition was predominantly affected by seasonal fluctuations in temperature and nutrient levels. Notably, the Yellow Sea basin exhibited the lowest phytoplankton abundance, largely because of the impact of the Yellow Sea Cold Water Mass. Furthermore, the presence of cyanobacteria, particularly prevalent in the Yellow Sea basin, may have been facilitated by transport mechanisms associated with the Kuroshio current. Aggregated boosted tree (ABT) and Generalized Additive models (GAM) suggested that temperature, DIN, salinity, and DIP were significant parameters of phytoplankton abundance in SYS. Additionally, the N:P nutrient ratio was a key parameter in governing the structure of phytoplankton communities during both seasons. • The Southern Yellow Sea was divided into three ecological provinces. • Phytoplankton community composition was influenced by temperature and nutrient levels. • The N:P ratio was a key parameter in governing the phytoplankton structure. [ABSTRACT FROM AUTHOR]

The oriental fruit fly, Bactrocera dorsalis (Hendel), an invasive insect pest infesting fruits and vegetables, possesses a remarkable capacity for environmental adaptation. The investigation of behind mechanisms of the stress adaptability in B. dorsalis holds significantly practical relevance. Previous studies on the molecular mechanism underlying stress resistance in B. dorsalis have predominantly focused on nuclear-coding genes, with limited exploration on organelle-coding genes. In this study, we assessed alterations in the mitochondrial physiological parameters of B. dorsalis under exposure to malathion, avermectin, and beta-cypermethrin at LD 50 dosages. The results showed that all three insecticides were capable of reducing mitochondrial complex IV activity and ATP content. Expression patterns of mitochondrial coding genes across different developmental stages, tissues and insecticide exposures were analyzed by RT-qPCR. The results revealed that these mitochondrial coding genes were expressed in various tissues and at different developmental stages. Particularly noteworthy, atp6 , cox2 , and cytb exhibited substantial up-regulation in response to malathion and avermectin treatment. Furthermore, RNAi-mediated knockdown of atp6 and cox2 resulted in the increased toxicity of malathion and avermectin against B. dorsalis , and cox2 silencing was also associated with the decreased complex IV activity. These findings suggest that atp6 and cox2 most likely play pivotal roles in mediating tolerance or resistance to malathion and avermectin in B. dorsalis. Our results provide novel insights into the role of mitochondrial coding genes in conferring tolerance to insecticides in B. dorsalis , with practical implications for controlling this pest in the field. [Display omitted] • Malathion, avermectin and beta-cypermethrin inhibited complex IV activity and ATP content. • B. dorsalis mitochondrial coding genes expressed at various developmental stages and tissues. • atp6 , cox2 , and cytb significantly up-regulated after malathion and avermectin treatment. • Knockdown of atp6 and cox2 remarkably increase the mortality of B. dorsalis to malathion. • Silencing of cox2 resulted in increasing mortality of B. dorsalis to avermectin. [ABSTRACT FROM AUTHOR]