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Proteoglycans are extensively glycosylated proteins, commonly found in the extracellular matrix, interwoven with collagen fibers. Hyaline cartilage, the most common type of cartilage in the body, consists of short and dispersed collagen fibers associated with large amounts of proteoglycans. These proteoglycans have long negative charges that attract cations, which in turn attract water molecules. This influx of ions and water molecules swells up the proteoglycan like a water-soaked gel that can...
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Updated: Sep 21, 2025

Preparation of Multifunctional Silk-Based Microcapsules Loaded with DNA Plasmids Encoding RNA Aptamers and Riboswitches
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Edible Matrix Code with Photogenic Silk Proteins.

Jung Woo Leem1, Hee-Jae Jeon1, Yuhyun Ji1

  • 1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, United States.

ACS Central Science
|June 1, 2022
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Summary
This summary is machine-generated.

This study introduces an edible, imperceptible matrix code using genetically engineered silk fibroin for pharmaceutical anticounterfeiting. This scalable solution offers dosage-level security and patient empowerment against counterfeit medicines.

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Area of Science:

  • Biomaterials Engineering
  • Pharmaceutical Security
  • Sustainable Manufacturing

Background:

  • Counterfeit medicines pose significant risks to patient safety and public health, causing economic losses.
  • Existing anticounterfeiting technologies face limitations due to material toxicity and reliance on secondary packaging.

Purpose of the Study:

  • To develop an edible, imperceptible, and scalable matrix code for pharmaceutical anticounterfeiting and authentication.
  • To create a dosage-level security solution that empowers patients in combating illicit drugs.

Main Methods:

  • Utilized silk fibroin genetically encoded with fluorescent proteins from sustainable silkworm farming.
  • Incorporated three distinct fluorescence emission colors into a multidimensional parameter space for variable encoding capacity.
  • Developed a smartphone-readable system with deep neural network and cryptographic hash function for security and error correction.

Main Results:

  • Demonstrated biocompatibility, photostability, thermal stability, and long-term reliability of the edible matrix code.
  • Achieved a low bit error ratio, ensuring data integrity and feasibility for practical application.
  • Validated the code's capability for serialization, track and trace, and authentication at the dosage level.

Conclusions:

  • The developed edible matrix code offers a novel, feasible solution for pharmaceutical anticounterfeiting at the dosage level.
  • This technology enhances drug security, combats counterfeit medicines, and empowers patients with authentication capabilities.
  • The sustainable and biocompatible nature of the code supports its broad applicability in healthcare.