Food Analysis On-Demand Seminar 2026

Next-generation model to maximize lab throughput.

Robust system performance built on the fundamental principles of ease of use and high reliability of hardware improves sample throughput. Achieving selectivity with high-resolution accurate mass (HRAM), high-speed scan rates, and class-leading mass spectrum quality in a compact footprint that saves bench space ensures data integrity. Equipped with smart scheduling features, it provides rich and reliable analytical results for a wide range of applications, from small molecules to peptides and intact proteins, for users of all skill levels by executing the scan types selected by the user with simple operations.

• Analytical Equipment and Devices

A high-resolution GCMS workflow that clarifies the differences in the constituent components of various foods.

The processed foods we consume develop unique flavors and aromas due to various differences in the quantities and origins of the ingredients used, as well as cooking times, even if they share the same name. Understanding these differences at the component level is crucial in food research, and the use of GC/MS methods is expected to shed light on volatile components, which are believed to be factors influencing aroma. Non-target analysis that encompasses all contained components has been considered challenging due to the vast amount of information and the complexity of analytical operations. To obtain reliable results, efficient sampling methods, chromatographic separation, advanced mass separation, and software for smooth statistical analysis of the data are required. In this technical document, we present a workflow using high-resolution GC-MS (Orbitrap GC-MS) and Compound Discoverer software for low molecular analysis, as a solution to smoothly and accurately address this complex food comparison, exemplified by the inter-sample comparison of commercially available meat sauces from three food manufacturers.

• Analytical Equipment and Devices

Achieving accurate and highly sensitive quantification of polycyclic aromatic hydrocarbons (PAHs) using high-resolution GC-MS.

Polycyclic aromatic hydrocarbons (PAHs) are components generated from the heating of organic materials, and due to concerns about their carcinogenicity and other health effects, PAHs present in food are regulated in some countries and regions. In particular, edible oils may undergo heating as a pretreatment during extraction from raw materials, which raises the possibility that PAHs could be generated during the thermal processing, even if the raw materials themselves do not contain PAHs. Since various countries have established standard values for PAHs, safety inspections may be required when exporting food abroad. These standard values are becoming stricter year by year, and high-sensitivity detection measurement devices are needed to accurately quantify these standard values. This application note presents a case of highly sensitive quantification of PAHs without interference from matrix components, achieved using the high mass resolution and mass accuracy of the Orbitrap GC-M system, a high-resolution GCMS. Data acquisition is performed through full scan measurements, making method development easier and enabling retrospective analysis (such as checking whether newly regulated components were present in previously measured samples).

• Analytical Equipment and Devices

Reliable simultaneous analysis of 325 pesticide components in food matrices unaffected by interference using high-resolution GC-MS.

In the quantitative analysis of pesticide residues in food, triple quadrupole mass spectrometers such as GC-MS/MS and LC-MS/MS are commonly used. This is because they can separate trace amounts of pesticides from the food matrix and detect peaks with high sensitivity. On the other hand, our Orbitrap mass spectrometer allows for advanced mass separation, enabling the detection of pesticide peaks without interference from the food-derived matrix. This application note introduces a simultaneous analysis of 325 pesticide components using a GC-Orbitrap mass spectrometer. The Orbitrap mass spectrometer facilitates method development for data acquisition in Full MS measurements, and its high mass accuracy allows for the precise estimation of molecular formulas for each fragment ion, providing reliable quantitative information.

• Analytical Equipment and Devices

Laboratory efficiency improvement! Automation of wet chemical analysis in the chemical industry, food sector, and environmental field.

The Gallery discrete automatic analyzer automates manual wet chemical analysis, spectrophotometric analysis (colorimetric and enzyme analysis), and electrochemical analysis (measurement of pH and electrical conductivity). The discrete method allows for the simultaneous measurement of many analytical components, reducing the overall analysis time and the operator's workload. The Gallery discrete automatic analyzer minimizes waste liquid volume by utilizing miniaturized components and a unique low-volume cell design, allowing analysis with a small amount of reagents, which in turn reduces the costs associated with analysis. *For more details, please refer to the PDF document or feel free to contact us.*

• Analytical Equipment and Devices
• Spectroscopic Analysis Equipment
• Water quality testing

Finally mastered water quality analysis and nutrient component analysis! High performance, high efficiency, and reliable trust.

Introducing the Thermo Scientific Gallery Aqua Master discrete automatic analyzer. As a highly automated integrated platform, it is a faster and safer turnkey analysis device that replaces traditional wet chemical analysis methods. Not only does it improve the reliability and sensitivity of results compared to manual methods, but it also enhances lab productivity by allowing operators to focus on other tasks. 【Features】 - Up to 350 tests per hour (spectrophotometric analysis) - A wide range of applications including sugars, organic acids, inorganic ions, enzymes, and additives - Barcode management and ready-to-use reagents - Reduced reagent volume and cost savings through automation *For more details, please refer to the PDF document or feel free to contact us.

• Analytical Equipment and Devices

We will be exhibiting from Wednesday, October 1 to Friday, October 3, 2025. Makuhari Messe https://www.jagri-global.jp/hub/ja-jp/visit/feature-t/plant.html Please stop by!

To construction and civil engineering companies looking for the "next" step in digitalization. This seminar will explain the currently trending topic of "AI utilization" in 45 minutes. We will clearly introduce the latest trends, specific case studies, and steps for implementation to address questions such as "What can AI do?" and "How can it be applied to our business?" Whether your company is already advancing in DX or is just starting to consider AI, you will find hints for improving operational efficiency. 【Schedule】 1: Company introduction and instructor introduction 2: Case studies of AI utilization in the construction and civil engineering industry 3: Convincing examples! Patterns of AI utilization in construction operations 4: Three steps to avoid failure in AI implementation 5: Q&A and closing remarks

We will address the issue of young employees who, despite joining the company, leave due to reasons such as "there's no time to be taught," "I don't understand when I'm told to learn by watching," and "what is written and said varies depending on the project or person in charge." We propose a system that accumulates the know-how of veterans in AI and systems, allowing young employees to search for and solve problems on their own. 【Schedule】 1: Company introduction and instructor introduction 2: Reasons why technical inheritance is not progressing (lack of time, difficulty in verbalizing) 3: "Next-generation manual and know-how sharing methods" utilizing video and AI search 4: Examples of system construction to institutionalize technical inheritance 5: Q&A and closing remarks

[Speaker] Kentarou Kobe, Senior Consultant Mitsubishi Research Institute, Inc. Power and Energy Division Demand Side Innovation Group [Key Lecture Content] As we strive for carbon neutrality, the importance of stationary storage batteries that support the expansion of renewable energy adoption and the stabilization of electricity supply and demand is increasing. On the other hand, the environment surrounding the battery storage business is undergoing significant changes, including the review of electricity markets and systems, increased renewable energy output control, expanded utilization of demand-side resources, grid connection, cell procurement, cybersecurity, and regional coexistence. In this lecture, we will organize the values required for future battery storage businesses from four perspectives: power system value, renewable energy value, consumer value, and regional value. Based on this, we will introduce points for consideration in business development, focusing on grid-connected and renewable energy co-located systems, taking into account the characteristics of each type. [Lecture Items] 1. Current status of the domestic battery storage market and the future image of battery storage required 2. Market and system trends surrounding grid-connected battery storage and key points 3. Market and system trends surrounding renewable energy co-located battery storage and key points 4. Points for consideration in battery storage businesses that provide multiple values 5. Summary 6. Q&A / Business card exchange

[Lecturers] Accenture Ltd. Industry & Enterprise Headquarters Managing Director Yuya Horiguchi, Head of Telecommunications and Media Practice Japan Senior Manager Mamoru Yonemura, Digital Core Strategy [Key Lecture Content] This presentation will analyze the next structure of the telecommunications industry from the perspective of investment and business strategy regarding 6G. As standardization intensifies in preparation for commercialization around 2030, there is also strong caution that we may "repeat the same mistakes as with 5G." Starting from environmental changes that could not be anticipated in 2020, such as the expansion of generative AI demand, commercialization of NTN (satellite communications), data sovereignty, and power/supply constraints, we will organize the points of discussion on infrastructure investment, business restructuring, sharing, and monetization. From the standpoint of connecting enterprise demand with telecommunications infrastructure, we will present the investment decisions that telecommunications operators should make and the materials for their next steps.