Introduction – Company Background

GuangXin Industrial Co., Ltd. is a specialized manufacturer dedicated to the development and production of high-quality insoles.

With a strong foundation in material science and footwear ergonomics, we serve as a trusted partner for global brands seeking reliable insole solutions that combine comfort, functionality, and design.

With years of experience in insole production and OEM/ODM services, GuangXin has successfully supported a wide range of clients across various industries—including sportswear, health & wellness, orthopedic care, and daily footwear.

From initial prototyping to mass production, we provide comprehensive support tailored to each client’s market and application needs.

At GuangXin, we are committed to quality, innovation, and sustainable development. Every insole we produce reflects our dedication to precision craftsmanship, forward-thinking design, and ESG-driven practices.

By integrating eco-friendly materials, clean production processes, and responsible sourcing, we help our partners meet both market demand and environmental goals.

Core Strengths in Insole Manufacturing

At GuangXin Industrial, our core strength lies in our deep expertise and versatility in insole and pillow manufacturing. We specialize in working with a wide range of materials, including PU (polyurethane), natural latex, and advanced graphene composites, to develop insoles and pillows that meet diverse performance, comfort, and health-support needs.

Whether it's cushioning, support, breathability, or antibacterial function, we tailor material selection to the exact requirements of each project-whether for foot wellness or ergonomic sleep products.

We provide end-to-end manufacturing capabilities under one roof—covering every stage from material sourcing and foaming, to precision molding, lamination, cutting, sewing, and strict quality control. This full-process control not only ensures product consistency and durability, but also allows for faster lead times and better customization flexibility.

With our flexible production capacity, we accommodate both small batch custom orders and high-volume mass production with equal efficiency. Whether you're a startup launching your first insole or pillow line, or a global brand scaling up to meet market demand, GuangXin is equipped to deliver reliable OEM/ODM solutions that grow with your business.

Customization & OEM/ODM Flexibility

GuangXin offers exceptional flexibility in customization and OEM/ODM services, empowering our partners to create insole products that truly align with their brand identity and target market. We develop insoles tailored to specific foot shapes, end-user needs, and regional market preferences, ensuring optimal fit and functionality.

Our team supports comprehensive branding solutions, including logo printing, custom packaging, and product integration support for marketing campaigns. Whether you're launching a new product line or upgrading an existing one, we help your vision come to life with attention to detail and consistent brand presentation.

With fast prototyping services and efficient lead times, GuangXin helps reduce your time-to-market and respond quickly to evolving trends or seasonal demands. From concept to final production, we offer agile support that keeps you ahead of the competition.

Quality Assurance & Certifications

Quality is at the heart of everything we do. GuangXin implements a rigorous quality control system at every stage of production—ensuring that each insole meets the highest standards of consistency, comfort, and durability.

We provide a variety of in-house and third-party testing options, including antibacterial performance, odor control, durability testing, and eco-safety verification, to meet the specific needs of our clients and markets.

Our products are fully compliant with international safety and environmental standards, such as REACH, RoHS, and other applicable export regulations. This ensures seamless entry into global markets while supporting your ESG and product safety commitments.

ESG-Oriented Sustainable Production

At GuangXin Industrial, we are committed to integrating ESG (Environmental, Social, and Governance) values into every step of our manufacturing process. We actively pursue eco-conscious practices by utilizing eco-friendly materials and adopting low-carbon production methods to reduce environmental impact.

To support circular economy goals, we offer recycled and upcycled material options, including innovative applications such as recycled glass and repurposed LCD panel glass. These materials are processed using advanced techniques to retain performance while reducing waste—contributing to a more sustainable supply chain.

We also work closely with our partners to support their ESG compliance and sustainability reporting needs, providing documentation, traceability, and material data upon request. Whether you're aiming to meet corporate sustainability targets or align with global green regulations, GuangXin is your trusted manufacturing ally in building a better, greener future.

Let’s Build Your Next Insole Success Together

Looking for a reliable insole manufacturing partner that understands customization, quality, and flexibility? GuangXin Industrial Co., Ltd. specializes in high-performance insole production, offering tailored solutions for brands across the globe. Whether you're launching a new insole collection or expanding your existing product line, we provide OEM/ODM services built around your unique design and performance goals.

From small-batch custom orders to full-scale mass production, our flexible insole manufacturing capabilities adapt to your business needs. With expertise in PU, latex, and graphene insole materials, we turn ideas into functional, comfortable, and market-ready insoles that deliver value.

Contact us today to discuss your next insole project. Let GuangXin help you create custom insoles that stand out, perform better, and reflect your brand’s commitment to comfort, quality, and sustainability.

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Custom foam pillow OEM in Vietnam

Are you looking for a trusted and experienced manufacturing partner that can bring your comfort-focused product ideas to life? GuangXin Industrial Co., Ltd. is your ideal OEM/ODM supplier, specializing in insole production, pillow manufacturing, and advanced graphene product design.

With decades of experience in insole OEM/ODM, we provide full-service manufacturing—from PU and latex to cutting-edge graphene-infused insoles—customized to meet your performance, support, and breathability requirements. Our production process is vertically integrated, covering everything from material sourcing and foaming to molding, cutting, and strict quality control.China ODM expert for comfort products

Beyond insoles, GuangXin also offers pillow OEM/ODM services with a focus on ergonomic comfort and functional innovation. Whether you need memory foam, latex, or smart material integration for neck and sleep support, we deliver tailor-made solutions that reflect your brand’s values.

We are especially proud to lead the way in ESG-driven insole development. Through the use of recycled materials—such as repurposed LCD glass—and low-carbon production processes, we help our partners meet sustainability goals without compromising product quality. Our ESG insole solutions are designed not only for comfort but also for compliance with global environmental standards.Vietnam insole ODM service provider

At GuangXin, we don’t just manufacture products—we create long-term value for your brand. Whether you're developing your first product line or scaling up globally, our flexible production capabilities and collaborative approach will help you go further, faster.Orthopedic pillow OEM solutions Indonesia

📩 Contact us today to learn how our insole OEM, pillow ODM, and graphene product design services can elevate your product offering—while aligning with the sustainability expectations of modern consumers.Indonesia custom insole OEM supplier

The scientists believe there are at least three wild ‘mystery ancestors’. Scientists are peeling back ancient layers of banana DNA in order to find the “mystery ancestors” before they go extinct. It is believed that humans domesticated bananas for the first time 7,000 years ago on the island of New Guinea. However, the history of banana domestication is complicated, and the distinction between species and subspecies is often unclear. A new study published in the journal Frontiers in Plant Science reveals that this history is significantly more complicated than previously imagined. The findings show that the genomes of the current domesticated varieties include remnants from three extra, as of yet unidentified, ancestors. “Here we show that most of today’s diploid cultivated bananas that descend from the wild banana M. acuminata are hybrids between different subspecies. At least three extra wild ‘mystery ancestors’ must have contributed to this mixed genome thousands of years ago, but haven’t been identified yet,” said Dr. Julie Sardos, a scientist at The Alliance of Bioversity International and CIAT in Montpellier, France, and the study’s first author. Complex Domestication History Domesticated bananas (except for Fei bananas in the Pacific) are believed to have descended from a group of four ancestors, which were either subspecies of the wild banana Musa acuminata or different but closely related species. Before being domesticated, M. acuminata existed in Australasia and seems to have developed on the northern borderlands between India and Myanmar about 10 million years ago. Another complication is that domesticated varieties may contain two (‘diploid’), three (‘triploid’), or four (‘tetraploid’) copies of every chromosome, and many are derived from the wild species M. balbisiana. Recent smaller-scale studies suggested that other ancestors linked to M. acuminata may have been involved in the domestication, suggesting that even this highly complicated scenario may not be the whole story. The latest findings not only validate this to be the case but also demonstrate for the first time that these gene pools are common in domesticated banana genomes. Banana Collecting Missions The authors sequenced the DNA in 226 extracts leaf extracts from the world’s largest collection of banana samples at The Alliance of Bioversity International and CIAT’s “Musa Germplasm Transit Centre” in Belgium. Among these samples, 68 belonged to nine wild subspecies of M. acuminata, 154 to diploid domesticated varieties descended from M. acuminata, and four more distantly related wild species and hybrids as comparisons. Many had previously been gathered in dedicated ‘banana collecting missions’ to Indonesia, the island of New Guinea, and the autonomous region of Bougainville. The researchers first measured the levels of relatedness between cultivars and wild bananas and made “family trees” based on the diversity at 39,031 Single Nucleotide Polymorphisms (SNPs). They used a subset of these – evenly spread across the genome, with each pair demarcating a block of approximately 100,000 “DNA letters” – to statistically analyze the ancestry of each block. For the first time, they detected traces of three further ancestors in the genome of all domesticated samples, for which no matches are yet known from the wild. Mystery Ancestors Might Survive Somewhere The mystery ancestors might be long since extinct. “But our personal conviction is that they are still living somewhere in the wild, either poorly described by science or not described at all, in which case they are probably threatened,” said Sardos. Sardos and his team have a good idea of where to look for them: “Our genetic comparisons show that the first of these mystery ancestors must have come from the region between the Gulf of Thailand and west of the South China Sea. The second is from the region between north Borneo and the Philippines. The third, from the island of New Guinea.” Could Help Breed Better Bananas Which useful traits these mystery ancestors might have contributed to domesticated bananas is not yet known. For example, the crucial trait of parthenocarpy, fruit setting without the need for pollination, is thought to have been inherited from M. acuminata, while cooking bananas owe a large chunk of their DNA to the subspecies (or perhaps separate species) M. acuminata banksii. Second corresponding author Dr. Mathieu Rouard, likewise at Bioversity International, said: “Identifying the ancestors of cultivated bananas is important, as it will help us understand the processes and the paths that shaped the banana diversity observed today, a crucial step to breed bananas of the future.” “Breeders need to understand the genetic make-up of today’s domesticated diploid bananas for their crosses between cultivars, and this study is a major first step toward the characterization in great detail of many of these cultivars.” Sardos said: “Based on these results, we will work with partners to explore and genotype wild banana diversity in the three geographic regions that our study pinpointed, with the hope to identify these unidentified contributors to cultivated bananas. It will also be important to investigate the different advantages and traits that each of these contributors provided to cultivated bananas.” Reference: “Hybridization, missing wild ancestors and the domestication of cultivated diploid bananas” by Julie Sardos, Catherine Breton, Xavier Perrier, Ines Van den Houwe, Sebastien Carpentier, Janet Paofa, Mathieu Rouard and Nicolas Roux, 7 October 2022, Frontiers in Plant Science. DOI: 10.3389/fpls.2022.969220 The study was funded by the CGIAR Research Program Roots, Tubers and Bananas, and the CGIAR Genebank Platform.

A representation of a neural network provides a backdrop to a fish larva’s beating heart. Credit: Tobias Wuestefeld Machine learning helps some of the best microscopes to see better, work faster, and process more data. To observe the swift neuronal signals in a fish brain, scientists have started to use a technique called light-field microscopy, which makes it possible to image such fast biological processes in 3D. But the images are often lacking in quality, and it takes hours or days for massive amounts of data to be converted into 3D volumes and movies. Now, European Molecular Biology Laboratory (EMBL) scientists have combined artificial intelligence (AI) algorithms with two cutting-edge microscopy techniques — an advance that shortens the time for image processing from days to mere seconds, while ensuring that the resulting images are crisp and accurate. The findings are published in Nature Methods. “Ultimately, we were able to take ‘the best of both worlds’ in this approach,” says Nils Wagner, one of the paper’s two lead authors and now a PhD student at the Technical University of Munich. “AI enabled us to combine different microscopy techniques, so that we could image as fast as light-field microscopy allows and get close to the image resolution of light-sheet microscopy.” Although light-sheet microscopy and light-field microscopy sound similar, these techniques have different advantages and challenges. Light-field microscopy captures large 3D images that allow researchers to track and measure remarkably fine movements, such as a fish larva’s beating heart, at very high speeds. But this technique produces massive amounts of data, which can take days to process, and the final images usually lack resolution. Light-sheet microscopy homes in on a single 2D plane of a given sample at one time, so researchers can image samples at higher resolution. Compared with light-field microscopy, light-sheet microscopy produces images that are quicker to process, but the data are not as comprehensive, since they only capture information from a single 2D plane at a time. To take advantage of the benefits of each technique, EMBL researchers developed an approach that uses light-field microscopy to image large 3D samples and light-sheet microscopy to train the AI algorithms, which then create an accurate 3D picture of the sample. “If you build algorithms that produce an image, you need to check that these algorithms are constructing the right image,” explains Anna Kreshuk, the EMBL group leader whose team brought machine learning expertise to the project. In the new study, the researchers used light-sheet microscopy to make sure the AI algorithms were working, Anna says. “This makes our research stand out from what has been done in the past.” Robert Prevedel, the EMBL group leader whose group contributed the novel hybrid microscopy platform, notes that the real bottleneck in building better microscopes often isn’t optics technology, but computation. That’s why, back in 2018, he and Anna decided to join forces. “Our method will be really key for people who want to study how brains compute. Our method can image an entire brain of a fish larva, in real time,” Robert says. He and Anna say this approach could potentially be modified to work with different types of microscopes too, eventually allowing biologists to look at dozens of different specimens and see much more, much faster. For example, it could help to find genes that are involved in heart development, or could measure the activity of thousands of neurons at the same time. Next, the researchers plan to explore whether the method can be applied to larger species, including mammals. Reference: “Deep learning-enhanced light-field imaging with continuous validation” by Nils Wagner, Fynn Beuttenmueller, Nils Norlin, Jakob Gierten, Juan Carlos Boffi, Joachim Wittbrodt, Martin Weigert, Lars Hufnagel, Robert Prevedel and Anna Kreshuk, 7 May 2021, Nature Methods. DOI: 10.1038/s41592-021-01136-0 Study co-lead author Fynn Beuttenmüller, a PhD student in the Kreshuk group at EMBL Heidelberg, has no doubts about the power of AI. “Computational methods will continue to bring exciting advances to microscopy.”

Larvae of the fruit fly Drosophila (foreground) have a kind of stretch sensor in the esophagus (grey structure in the middle). It reports swallowing processes to the brain. If food is ingested, special neurons of the enteric nervous system (red) release serotonin. Credit: Dr. Anton Miroschnikow/University of Bonn A study conducted at the University of Bonn has identified an essential control circuit in flies that regulates food consumption. Researchers from the University of Bonn and the University of Cambridge have discovered a key regulatory circuit involved in the eating process. Their study found that fly larvae possess specialized sensors, or receptors, located in the esophagus, which are activated as soon as the larvae ingest food. These receptors signal the brain to release serotonin when food is swallowed. This messenger substance – which is often also referred to as the feel-good hormone – ensures that the larva continues to eat. The researchers assume that humans also have a very similar control circuit. The results were recently published in the journal Current Biology. Imagine you are hungry and sitting in a restaurant. There is a pizza on the table in front of you that smells extremely inviting. You take a bite, chew and swallow it, and feel elated at that precise moment: Oh boy that was tasty! You quickly cut the next piece of the pizza and cram it into your mouth. The smell of the pizza and how it tastes on your tongue motivate you to start your meal. However, it’s the good feeling you have after swallowing that is largely responsible for you continuing to eat. “But how exactly does this process work? Which neural circuits are responsible? Our study has provided an answer to these questions,” says Prof. Dr. Michael Pankratz from the LIMES Institute (the acronym stands for “Life & Medical Sciences”) at the University of Bonn. The researchers didn’t gain their insights from humans but instead by studying the larvae of the fruit fly Drosophila. These flies have around 10,000 to 15,000 nerve cells – which is a manageable number compared to the 100 billion in the human brain. However, these 15,000 nerve cells already form an extremely complex network: Every neuron has branching projections via which it contacts dozens or even hundreds of other nerve cells. All nerve connections in fly larvae were investigated for the first time “We wanted to gain a detailed understanding of how the digestive system communicates with the brain when consuming food,” says Pankratz. “In order to do this, we had to understand which neurons are involved in this flow of information and how they are triggered.” Therefore, the researchers analyzed not only the paths of all of the nerve fibers in the larvae but also the connections between the different neurons. For this purpose, the researchers cut a larva into thousands of razor-thin slices and photographed them under an electron microscope. “We used a high-performance computer to create three-dimensional images from these photographs,” explains the researcher, who is also a member of the transdisciplinary research area “Life and Health” and the “ImmunoSensation” Cluster of Excellence. The next step was a real herculean task: The project assistants Dr. Andreas Schoofs and Dr. Anton Miroschnikow investigated how all the nerve cells are “wired” to one another – neuron for neuron and synapse for synapse. The stretch receptor is wired to serotonin neurons This process enabled the researchers to identify a sort of “stretch receptor” in the esophagus. It is wired to a group of six neurons in the larva’s brain that are able to produce serotonin. This neuromodulator is also sometimes called the “feel-good hormone.” It ensures, for example, that we feel rewarded for certain actions and are encouraged to continue doing them. The serotonin neurons receive additional information about what the animal has just swallowed. “They can detect whether it is food or not and also evaluate its quality,” explains the lead author of the study Dr. Andreas Schoofs. “They only produce serotonin if good quality food is detected, which in turn ensures that the larva continues to eat.” This mechanism is of such fundamental importance that it probably also exists in humans. If it is defective, it could potentially cause eating disorders such as anorexia or binge eating. It may therefore be possible that the results of this basic research could also have implications for the treatment of such disorders. “But we don’t know enough at this stage about how the control circuit in humans actually works,” says Pankratz to dampen any overly high expectations. “There is still years of research required in this area.” Reference: “Serotonergic modulation of swallowing in a complete fly vagus nerve connectome” by Andreas Schoofs, Anton Miroschnikow, Philipp Schlegel, Ingo Zinke, Casey M. Schneider-Mizell, Albert Cardona and Michael J. Pankratz, 12 September 2024, Current Biology. DOI: 10.1016/j.cub.2024.08.025 The University of Bonn, University of Cambridge (UK), HHMI’s Janelia Research Campus (Ashburn, USA) and the Allen-Institute for Brain Sciences (Seattle, USA) participated in the study. The project was funded by the German Research Foundation (DFG).

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