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Automation and efficiency improvement of the pretreatment process in the decomposition (melting) of metallic silicon.

Sample pretreatment for ICP and ICP/MS in the decomposition (melting) of hydrofluoric acid and highly reactive metal silicon!

Silica (SiO2 and its compounds) involves complicated reagent addition operations in acid decomposition, making it very labor-intensive. Additionally, there are issues related to human exposure to acidic reagents such as hydrofluoric acid, which poses risks during analysis. Therefore, using the automated pretreatment device DEENA2 for acid addition and other processes, we automated the sample pretreatment for ICP and ICP/MS. 【Summary (Partial)】 ■ Established a method for fully automated analysis, from the automatic addition of nitric acid and hydrofluoric acid to stirring and up to dilution. ■ Successfully analyzed reactive metallic silicon with hydrofluoric acid while controlling the reaction safely. ■ Reduced human exposure to hydrofluoric acid and nitric acid to nearly zero. ■ Completely automated pretreatment tasks that previously required human intervention. ■ Conducted decomposition within a clean bench by using a fume hood. *For more details, please download the PDF or feel free to contact us.

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Automation and efficiency improvement of pretreatment processes for "tap water and groundwater" in inorganic analysis.

A study on the fully automated pretreatment method using nitric acid with DEENA!

Methods established by the Minister of Health, Labour and Welfare based on the standards of the ministerial ordinance concerning water quality standards (Notification No. 61 of the Ministry of Health, Labour and Welfare, 2003) and the water quality testing methods for drinking water (2011 edition) involve complex reagent addition operations in the acid digestion process, making it very labor-intensive. Additionally, the use of nitric acid as an acid reagent poses exposure risks to humans, making the analysis hazardous. Therefore, using the automated pretreatment device DEENA2 for acid addition and other processes, we automated the sample pretreatment for ICP-OES and ICP/MS. [Summary] ■ Conducted a study on the pretreatment of drinking water analysis ■ Used DEENA60 ■ Performed digestion using nitric acid ■ Added internal standard solution ■ Examined the automation of the process from acid addition to dilution *For more details, please download the PDF or feel free to contact us.

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Automation and efficiency improvement in the manufacturing industry using AI and automation solutions.

Combining a wealth of solutions to support speedy DX realization!

Our company supports customers in solving their challenges from the formulation of concepts, proposing optimal solutions using advanced technologies such as AI and data science. Focusing on manufacturing management support systems, we assist with production and process management, traceability, data visualization, and optimization. By utilizing the data we manage, we conduct Big Data analysis and predictions using AI technology, leading to business improvements and further automation of operations. 【Five Steps from Hearing to Operational Follow-up】 ■STEP 1: Hearing ■STEP 2: Proposal ■STEP 3: Verification ■STEP 4: Development ■STEP 5: Operation *For more details, please refer to the PDF document or feel free to contact us.

  • Process Control System

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Achieve automation and efficiency of various business processes with V7!

V7 utilizes image analysis technology to achieve automation and efficiency in business processes such as quality control and inventory management across various industries, including manufacturing and logistics.

V7 is a platform designed to solve the challenges of AI development in the manufacturing industry. In manufacturing, many operations such as quality control, inventory management, production planning, and fault detection are based on visual judgment. However, automating these operations requires a large amount of high-quality training data. V7 provides the following features to streamline the creation and management of training data: - Detection of defective products and automatic classification of packages - Fast automatic labeling using generative AI - Support for multiple annotation types and pixel-perfect labels - Version control and filtering of datasets - Library management of personal models and pre-trained models - Workflows that enable combinations of humans and models, as well as automated quality control - Collaboration with experts and professional labelers V7 is characterized by high-precision annotations, making it well-suited for AI utilization in manufacturing.

  • Company:B7
  • Price:Other
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Automation and efficiency improvement of the pretreatment process in impurity analysis of titanium.

Sample pretreatment for ICP and ICP/MS using the automatic pretreatment device DEENA2 with acid addition, etc.!

The acid decomposition of impurities in titanium involves complicated reagent addition operations and is very labor-intensive. Additionally, there are issues related to human exposure to acid reagents such as mixed acids and nitric acid, making the analysis hazardous. Therefore, using the automatic pretreatment device DEENA2 for acid addition and other processes, we automated the sample pretreatment for ICP and ICP/MS. 【Summary (Partial)】 ■ Established a method for fully automated analysis, from automatic addition of mixed acids and nitric acid to stirring and dilution. ■ Controlled the reaction for the automatic addition of mixed acids and nitric acid to safely conduct the analysis. ■ Reduced human exposure to mixed acids and nitric acid to nearly zero. ■ Completely automated the pretreatment work that previously required human intervention. ■ Conducted the decomposition within a clean bench by using a fume hood. *For more details, please download the PDF or feel free to contact us.

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Automation and efficiency improvement of the pretreatment process using nitric acid in the decomposition of tobacco leaves.

Decomposition of tobacco leaves using nitric acid! A study was conducted on sample pretreatment and the automation of analysis.

The acid decomposition of tobacco leaves involves complicated reagent addition operations, making it very labor-intensive. Additionally, there are concerns about human exposure to acidic reagents such as nitric acid, which poses risks during analysis. Therefore, we automated the sample pretreatment for ICP and ICP/MS using the automatic pretreatment device DEENA2 for acid addition and other processes. 【Summary (Partial)】 ■ Established a method for fully automated analysis, from automatic addition of nitric acid to stirring and up to dilution. ■ Achieved nearly zero exposure of nitric acid to humans. ■ Completely automated pretreatment tasks that previously required human intervention. ■ Conducted decomposition within a clean bench by using a fume hood. ■ Enabled analysis with ultra-low blanks by using dedicated vials. *For more details, please download the PDF or feel free to contact us.

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