How long does it take for me to get a sample?

It depends. Generally speaking, it is about 7-10 days.

Why is the quote offered different from the sticker price?

As we know, prices of chemicals are not fixed, they fluctuate with the markets.

Can you give me a discount price?

Yes. It depends on your order qty.

How about your delivery? When will my goods be shipped?

Prompt and reliable delivery by professional shipping lines. About 3-5 days after prepayment is done.

Is the quality of your products guaranteed?

We have a professional R&D team, so every batch of our products is up to standard. We will have goods tested and provide COA before delivery for sure.

Trimethylolpropane CAS 77-99-6

Name: Trimethylolpropane CAS 77-99-6
Brand: Suzhou Senfeida Chemical Co., Ltd.
SKU: 2038520662

Jiangsu, ChinaSuzhou Senfeida Chemical Co., Ltd.

US$5.00

200-999 kg

US$2.00

1,000+ kg

Sample price:US$100.00/kg.Request sample

Product profile

Customization

Available

Appearance

Crystal

Colour

White

Model NO.

77-99-6

Physical State

Powder

Usage

Crystal

Transport Package

Drum

Specification

200kg

Trademark

SENFEIDA

Origin

Jiangsu

Production Capacity

100tons/Month

Key features

Versatile Applications: Used in polyesters, alkyds, polyurethanes, coatings, elastomers, and lubricants

Excellent Performance: Lacquers offer excellent resistance to alkali, detergents, water, and impact

Manufacturer Direct: Factory with over 10 years experience and strong R&D capabilities

Quality Assurance: Professional R&D team, batch testing, and COA provided before delivery

Flexible Packaging: Available in Iron drums, plastic drums, IBC tanks, Flexitank, ISO TANK, and bags

Fast Sample Delivery: Samples generally available within 7-10 days after request

Competitive Pricing: Discounts available based on order quantity and market fluctuations

Company profile

Suzhou Senfeida Chemical Co., Ltd.

Jiangsu, China

Business Type: Manufacturer/FactoryExport Year: 2018-01-01Nearest Port: ShanghaiAverage Response Time: ≤18hTerms of Payment: LC, T/T, PayPal, etc.International Commercial Terms(Incoterms): FOB, EXW, CFR, CIF

AI-Powered supplier vetting

SummarySuzhou Senfeida Chemical Co., Ltd. is identified as a China-based limited company engaged in chemical trade and described in some records as a manufacturer/factory. It offers fine chemicals across environmental solvents, special chemicals, epoxy resin additives, UV monomers, catalysts, and organic intermediates. The supplier reports ISO 9000/9001 and ISO 14000/14001 certifications, 50 years of combined R&D engineer experience, five production lines, and exports to multiple global regions. Its stated product development and quality-control capabilities are positive, but after-sales capability is supported only by a general company claim. Financial credibility, customization capability, and customer-case depth remain insufficiently evidenced because the available trade records show only isolated transactions and no verifiable financial performance details.

CertificationsThe supplier reports holding ISO 9000, ISO 9001, ISO 14000, and ISO 14001 management-system certifications. These explicitly support quality and environmental management credentials.

After-Sales capabilityThe company explicitly states that it has an excellent after-sales service concept and is committed to providing first-class services. However, no operational details, service response standards, staffing, or documented customer outcomes are provided.

R&D capabilityThe supplier describes strong product R&D and technological innovation capabilities, reports development of more than 30 products across six series, and lists 50 years of total R&D engineer experience. These statements provide explicit evidence of an established innovation function, although no patents or independently verified technical achievements are shown.

Production capacityThe supplier is identified as a manufacturer/factory, reports five production lines, and states that it has developed more than 30 chemical products across six series. These details support existing production capability, while the data does not establish whether capacity is sufficient for a specific buyer order.