Smart Analytical Chemistry (Concept, Smart Materials, Miniaturized and Portable Systems, IoT, Data Analytics)
| Expected release date is Oct 14th 2026 |
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Overview
Analytical chemistry is experiencing a paradigm shift as fast development occurs in digital technologies, materials, and data integration. Microfluidics, devices using the Internet of Things (IoT), AI-assisted analysis, and portable sensing are some of the tools currently available in smart analytical chemistry that are transforming data capture, analysis, and use in every scientific and industrial field. Smart Analytical Chemistry explains to the readers how smart things and platforms are designed, fabricated and deployed, and how to integrate responsive materials, integrated electronics, and data processing in an analytical platform. It covers concepts, technologies, and practical implementations. It focuses on application-driven-innovation and describes case studies related to environmental monitoring, healthcare diagnostics, food safety and industrial quality control. Filling the gap between the classical approaches and the modern intelligent systems, it helps readers rethink workflows and integrate technology, and provides sustainable data-driven solutions in science and industry.
