ShengHe Chemical

AI Empowers Food Additives to Safeguard Food Safety on Our Plates

Do You Really Understand Food Additives?

When we pick up processed foods like yogurt in supermarkets, we often see unfamiliar terms in ingredient lists—these are food additives. According to China's Food Safety Law, food additives are artificial or natural substances added to improve food quality, color, aroma, taste, or for preservation and processing needs. They act as "assistants" to make food more delicious, durable and easier to process.

China has approved over 2,300 food additives in 22 functional categories. Common ones include preservatives (e.g., sodium benzoate) to extend shelf life, antioxidants (e.g., BHA) to maintain freshness, colorants (natural β-carotene and artificial tartrazine) to enhance appearance, sweeteners (e.g., xylitol) for special groups, thickeners (e.g., gelatin) to improve taste, and leavening agents (e.g., baking soda) for fluffy baked goods.

The Past and Present of Food Additives

Food additives have a long history. In ancient China, bittern was used to make tofu in the Eastern Han Dynasty, and alum, alkali and salt were added to fried dough sticks in the Southern Song Dynasty. Abroad, Egyptians used food coloring for candies in 1500 BC, and people colored wine in the 4th century BC. Early additives were mostly natural, while the 1856 synthesis of aniline purple marked the start of artificial additives, which are low-cost and stable, becoming indispensable in modern food industry.

The Troubles in the Use of Food Additives

Proper use of food additives ensures safe and delicious food, but there are hidden dangers. First, "two excesses": excessive scope and dosage of additives, which may burden liver and kidneys with long-term intake. Second, illegal addition: unscrupulous merchants add non-edible substances like malachite green (carcinogenic) and formaldehyde sodium bisulfite (harmful to organs) to cut costs. Third, substandard additives: those from small workshops may contain impurities like heavy metals, endangering health.

AI Comes to the Rescue!

AI provides effective solutions to these problems, acting as a precision detector, compliance supervisor and report reviewer.

As a detector, AI combined with spectral analysis (e.g., Raman spectroscopy) identifies additives and their dosage in minutes—20 times faster than traditional methods. Guangdong’s "AI Rapid Detection Vehicle" found 12 over-sodium-benzoate batches quickly. AI image recognition (CNN model) reduces spoiled food rate from 8% to 1.2% on e-commerce platforms.

As a supervisor, AI with sensors and blockchain monitors additive use in production. A dairy company’s system alarms instantly for overuse, raising product pass rate from 98.5% to 99.9%. Zhangzhou’s food factories use "IoT + AI" to capture additive data and prevent violations.

As a reviewer, the AI-powered IACheck system, with 500+ global standards, shortens report review from 6 hours to 20 minutes, increasing pass rate by 70% and saving 55% compliance costs.

Case Show: Successful Applications

Push Food Technology’s AI system raised a school canteen’s additive compliance rate from 85% to 98%. A soy sauce brand used IACheck to pass global certifications quickly, shortening report review time drastically and stabilizing pass rate.

AI Is Great, But Challenges Remain

AI faces three main challenges: unstandardized data (inconsistent formats from different labs affect model accuracy), poor model interpretability ("black box" decisions are hard to trust), and lack of interdisciplinary collaboration (gap between food science and AI engineering leads to mistakes).

A Promising Future, Working Together

AI has great potential in ensuring food safety via food additives. With joint efforts—government support, scientific research R&D, enterprise adoption and consumer participation—AI will solve existing challenges, making our food safer and healthier.

Article source: Jinan Shenghe Chemical Co., Ltd.

2 weeks ago | [YT] | 0

ShengHe Chemical

AI Invades Fine Chemicals: What Changes Will the Traditional Industry Undergo?

Chemical Class: What Are Fine Chemicals?

Fine chemicals are specialized chemicals processed from basic raw materials, featuring specific uses, advanced technology requirements, high value, and small-batch production. Common types include pesticides, dyes, coatings, food additives, pharmaceutical bulk drugs, daily chemicals, and functional polymer materials—they are ubiquitous in daily life and high-tech fields, from skincare products and food preservatives to electronic magnetic materials.

AI Boosts Fine Chemical Production

AI acts as an intelligent conductor in fine chemical production, making the process faster, more accurate, and efficient. Firstly, AI enables precise control of production materials: sensors collect real-time data (temperature, pressure, flow rate), and AI algorithms analyze and adjust raw material dosage, reducing waste, ensuring consistent product quality, and cutting costs—for example, optimizing coating formulas to maintain batch consistency. Secondly, AI optimizes production scheduling by integrating historical data, market demand, and equipment status to create and adjust production plans automatically, avoiding delays and improving market responsiveness, such as rational arrangement of pesticide production based on demand and inventory.

Innovative Formulations: AI Becomes R&D Smart Brain

Traditional fine chemical R&D relies on manual experience and extensive trial and error, which is time-consuming and costly. AI transforms R&D into "predictive design" by building a formula knowledge graph that integrates R&D data, raw material characteristics, and product performance. Researchers input desired product performance, and AI quickly predicts optimal formulas and processes, greatly reducing experiments. For instance, an international pharmaceutical company used AI to halve new drug R&D time and cut costs by 30%. AI also accelerates new material R&D, designing high-performance materials for aviation and electronics.

Safety Management: AI Protects the Chemical Industry

Safety is critical in fine chemicals, where flammable, toxic substances are common. AI builds comprehensive intelligent safety systems using machine vision and big data. Taking Xinda Technology’s platform as an example, it collects real-time data via sensors and cameras, alarms for abnormalities (gas leakage, illegal operations), predicts potential risks (equipment failures), and identifies hidden dangers more accurately than manual inspection. AI also enables intelligent inspections by robots/drones, special operation monitoring, and real-time personnel positioning, reducing accidents and ensuring safe production.

Cases Witness the Power of AI

Leading enterprises have achieved remarkable results with AI. CATL uses AI in battery material R&D and production, increasing efficiency by over 15% and reducing defect rates by 20%. Wanhua Chemical’s AI model boosts catalyst R&D efficiency by over 50% and cuts production costs by over 9 million yuan annually in its chlor-alkali plant. ACF Soft Valley Laboratory’s AI platform shortens R&D time for energy-absorbing materials from months to weeks. Transfar Chemical realizes full-link digital transformation with AI, improving production efficiency and customer satisfaction.

Outlook Under the AI Wave

AI is reshaping the fine chemical industry, bringing opportunities and challenges. In the future, it will penetrate all production links, realize full intelligence, accelerate high-end and green product R&D, and strengthen safety management. Enterprises need to invest in AI, cultivate interdisciplinary talents, and cooperate with research institutions. With policy support, the industry will move towards intelligent, green, and high-quality development.

Article source: Jinan Shenghe Chemical Co., Ltd.

2 weeks ago | [YT] | 0

ShengHe Chemical

AI Intelligent Manufacturing Creates a New Future for the Chemical Industry: Unlocking New Transformations in the Chemical Industry

The Dawn of Transformation in the Chemical Industry Under the AI Wave

Artificial intelligence (AI) has permeated numerous fields globally, reshaping lifestyles and work paradigms. However, the chemical industry, a pivotal pillar of the national economy, has lagged in AI integration. Currently, it faces severe challenges: volatile market demand due to sluggish global economic growth, stricter environmental policies requiring facility upgrades, and fierce market competition with accelerated technological renewal. AI technology has emerged as a powerful tool to drive the industry’s transformation and upgrading.

The Strokes of Genius of AI in the Chemical Industry

AI integration has triggered remarkable transformations across all links of chemical production, serving as a new engine for industrial development.

(1) Process Optimization: Precise Regulation, Energy Conservation and Efficiency Improvement

AI algorithms analyze massive production data (temperature, pressure, flow rate) in real time to dynamically adjust parameters, enhancing product quality and efficiency while reducing energy consumption. BASF’s 2025 pilot project cut energy consumption by 18% and increased capacity by 12% using AI. Wanhua Chemical optimized its MDI process via AI, saving over 200 million yuan annually.

(2) Predictive Maintenance: Preventing Problems Before They Occur, Ensuring Production

Sensors collect real-time equipment data, which AI monitoring systems analyze to establish operation models and issue early warnings for potential failures. Dow Chemical and Google’s 2025 joint system achieved 93% fault warning accuracy, reducing annual downtime losses by ~30 million yuan, extending equipment life and ensuring production stability.

(3) Material R&D: Accelerating Innovation, Exploring the Frontiers

Traditional material R&D is time-consuming, but AI simulates molecular structures, predicts properties, and screens high-performance materials. MIT’s ChemOS system efficiently screens 100,000 molecular structures. A 2025 domestic research institute used AI to identify a new catalyst in three months (vs. three years traditionally), boosting ammonia synthesis efficiency by 25%.

(4) Safety Monitoring: Intelligent Protection, Reducing Risks

AI visual monitoring systems analyze on-site images to identify risks (gas leakage, non-compliant operations). Sinopec’s 2025 pilot deployment reduced accident rates by 40% and shortened emergency response time to within 30 seconds, enhancing safety management.

AI Empowerment: The Transformation Effect of the Chemical Industry

AI has comprehensively transformed the industry: Hubei Xingfa improved production efficiency by 1%-3% with its FAOP system; Shanghai Bolimeilai’s Polymerize platform cut R&D costs and time by 80%; ACF Soft Valley Laboratory shortened high-performance material R&D cycles from months to weeks. In safety and environmental protection, DuPont’s AI gas sensor network reduced response time to <10 seconds, while BASF’s AI platform cut EU factory carbon intensity by 27%.

Riding the Waves, Meeting Challenges

AI application faces three key challenges: (1) Data dilemma: Scattered data and inconsistent standards hinder utilization; enterprises need unified data platforms and standards. (2) Algorithm/model issues: Insufficient interpretability, poor generalization, and small-sample learning bottlenecks require interpretable AI research and digital twin technology. (3) Talent shortage: Interdisciplinary talents (chemical + AI) are scarce; solutions include industry-university-research cooperation and talent training/recruitment.

The Future is Here, Embarking on a New Chemical Journey Together

AI integration with the chemical industry has broad prospects. Despite challenges, continuous technological progress and joint efforts will drive resolution. Embracing AI will reshape the industry into a more intelligent, green, and efficient sector, opening a new era for its sustainable development.

Article source: Jinan Shenghe Chemical Co., Ltd.

2 weeks ago | [YT] | 0

ShengHe Chemical

2-hydroxy-3-[(2-hydroxy-1,1-dimethylethyl)amino]propanesulphonic acid
product Name：
2-hydroxy-3-[(2-hydroxy-1,1-dimethylethyl)amino]propanesulphonic acid
CAS No：
68399-79-1
Synonyms：
AMPSO
Molecular Formula：
C7H17NO5S
Molecular Weight：
227.2786
InChI：
InChI=1/C7H17NO5S/c1-7(2,5-9)8-3-6(10)4-14(11,12)13/h6,8-10H,3-5H2,1-2H3,(H,11,12,13)/t6-/m0/s1
EINECS：
269-991-7

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ShengHe Chemical

ampso sodium
product Name：
ampso sodium
CAS No：
102029-60-7
Synonyms：
2-hydroxy-3-[(1-hydroxy-2-methylpropan-2-yl)amino]propane-1-sulfonate
Molecular Formula：
C7H16NNaO5S
Molecular Weight：
249.2604
InChI：
InChI=1/C7H17NO5S.Na/c1-7(2,5-9)8-3-6(10)4-14(11,12)13;/h6,8-10H,3-5H2,1-2H3,(H,11,12,13);/q;+1/p-1

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ShengHe Chemical

Amino-1-propanesulfonic acid
product Name：
3-Amino-1-propanesulfonic acid
CAS No：
3687-18-1
Synonyms：
3 APS; Homotaurine; 3-aminopropane-1-sulphonic acid
Molecular Formula：
C3H9NO3S
Molecular Weight：
139.17
InChI：
InChI=1/C3H9NO3S/c4-2-1-3-8(5,6)7/h1-4H2,(H,5,6,7)
EINECS：
222-977-4

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ShengHe Chemical

BES
product Name：
BES
CAS No：
10191-18-1
Synonyms：
N,N-Bis(2-hydroxyethyl)-2-aminoethanesulfonic acid ; N,N-Bis(2-hydroxyethyl)-2-aminoethanesulphonic acid; BES N,N-Bis(hydroxyethyl)-2-aminoethanesulfonic acid; BES, Molecular Biology Grade N,N-Bis(hydroxyethyl)-2-aminoethanesulfonic acid, Molecular Biology Grade; BES, Free Acid, ULTROL Grade; 2-(bis(2-hydroxyethyl)amino)-ethanesulfonicaci; 2-[bis(2-hydroxyethyl)amino]-ethanesulfonicaci; bes(bufferingagent); Ethanesulfonic acid, 2-[bis(2-hydroxyethyl)amino]-; n,n-bis(2-hydroxyethyl)-taurin; Taurine, N,N-bis(2-hydroxyethyl)-; N,N-BIS(HYDROXYETHYL)-2-AMINOETHANESULFONIC ACID; N,N-BIS(2-HYDROXYETHYL)-2-AMINOETHANESULFONIC ACID; 2-[bis(2-hydroxyethyl)amino]ethanesulfonic acid; 2-[bis(2-Hydroxyethyl)amino]-ethanesulfonic acid
Molecular Formula：
C6H15NO5S
Molecular Weight：
213.252
InChI：
InChI=1/C6H15NO5S/c8-4-1-7(2-5-9)3-6-13(10,11)12/h8-9H,1-6H2,(H,10,11,12)
EINECS：
233-465-5

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ShengHe Chemical

N,N-Bis(2-hydroxyethyl)-2-aminoethanesulfonic acid sodium salt
product Name：
N,N-Bis(2-hydroxyethyl)-2-aminoethanesulfonic acid sodium salt
CAS No：
66992-27-6
Synonyms：
BES sodium salt; sodium 2-[bis(2-hydroxyethyl)amino]ethanesulfonate; 2-[bis(2-Hydroxyethyl)amino]-ethanesulfonic acid sodium salt; BES-Na
Molecular Formula：
C6H14NNaO5S
Molecular Weight：
235.2338
InChI：
InChI=1/C6H15NO5S.Na/c8-4-1-7(2-5-9)3-6-13(10,11)12;/h8-9H,1-6H2,(H,10,11,12);/q;+1/p-1

2 weeks ago | [YT] | 0

ShengHe Chemical

3-(Cyclohexylamino)-1-propanesuhinic acid
product Name：
3-(Cyclohexylamino)-1-propanesuhinic acid
CAS No：
1135-40-6;113-40-6
Synonyms：
3-cyclohexylamino-1-propanesulphonic acid; 3-(cyclohexylamino)-1-propanesulfonic acid; caps, ultrol grade; 3-(cyclohexylamino)-1-propanesulfonic; 3-(cyclohexylamino)-1-propanesulfonicaci; buffer solution, ph 11.0; buffer solution, ph 10.5; buffer solution, ph 10.0; 3-(cyclohexylamino)-propane sulfonic acid; n-cyclohexyl-3-aminopropanesulfonic acid; 3-(cyclohexylamino)propane-1-sulfonic acid; CAPS; 3-CYCLOHEXYLAMINO-PROPANE-1-SULFONIC ACID; 3-CYCLOHEXYLAMINOPROPANESULFONIC ACID; 3-(CYCLOHEXYLAMINO)-1-PROPANESULPHONIC ACID
Molecular Formula：
C9H19NO3S
Molecular Weight：
221.3171
InChI：
InChI=1/C9H19NO3S/c11-14(12,13)8-4-7-10-9-5-2-1-3-6-9/h9-10H,1-8H2,(H,11,12,13)
EINECS：
214-492-1

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ShengHe Chemical

Tri(Hydroxymethyl) Amino Methane Hydrochloride
product Name：
Tri(Hydroxymethyl) Amino Methane Hydrochloride
CAS No：
1185-53-1
Synonyms：
Tris(hydroxymethyl)aminoethane hydrochloride; Tris(hydroxymethyl)aminomethane hydrochloride; 2-AMINO-2-(HYDROXYMETHYL)-1,3-PROPANEDIOL, HYDROCHLORIDE; SPECTRIS(R) HYDROCHLORIDE; SPECTRIS(TM) HYDROCHLORIDE; MOLE-READY-TRIS; 1,3-Propanediol,2-amino-2-(hydroxymethyl)-,hydrochloride; 3-propanediol,2-amino-2-(hydroxymethyl)-hydrochloride; trizmahydrochloride(trishydrochloride); 2-amino-2-(hydroxymethyl)propane-1,3-diol hydrochloride (1:1); 1,3-propanediol, 2-amino-2-(hydroxymethyl)-, chloride; TRIS・HCL; TRIZMA Hydrochloride; Tris Hydrochloride; 2-Amino-2-(hydroxymethyl)-1,3-propanediol hydrochloride; Tris.HCl; TRIS-HCL; Tris(hydroxymethyl)amino methane Hydrochloride
Molecular Formula：
C4H11ClNO3
Molecular Weight：
156.5886
InChI：
InChI=1/C4H11NO3.ClH/c5-4(1-6,2-7)3-8;/h6-8H,1-3,5H2;1H/p-1
EINECS：
214-684-5

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