Drone Bee Larvae Selection for Hormone Consistency
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Solution Overview
Problem
Existing methods for obtaining biologically active dietary supplements from drone larvae are inefficient due to variability in biological value across different stages of growth and lack of standardized selection criteria, leading to suboptimal hormone and unsaturated compound content in processed drone brood.
Innovation Solution
The method involves selecting drone larvae based on external signs such as vertical positioning and absence or presence of pigmentation in eyelets to standardize the collection of prepupae and pupae, ensuring optimal hormone and decenoic acid content, which maximizes the yield of biologically active substances like testosterone, progesterone, prolactin, and estradiol.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If drone larvae are collected at different ages from different bee families, then the availability of drone brood is increased, but the biological value and consistency of hormone content varies significantly
Solution Approach 1:
The patent applies parameter changes by establishing specific selection criteria for drone larvae based on their developmental stage characteristics. Instead of collecting larvae at arbitrary ages, the method selects larvae within specific age ranges (10-14 days old) and identifies them by external signs (vertical positioning, absence of pigmentation). This standardization of selection parameters ensures consistent hormone content while maintaining high productivity.
Solution Approach 2:
The patent implements preliminary action by establishing clear external signs and selection criteria before the actual collection process. The method pre-defines the optimal developmental stage characteristics (vertical positioning, no pigmentation) that indicate the correct age and hormonal state of larvae. This preliminary establishment of selection standards enables consistent identification and collection of larvae with maximum biological value across different bee families.
2Ease of operation
If drone larvae are collected without standardized selection criteria, then the collection process is simpler and faster, but the biological activity and hormone content of the drone brood is suboptimal
Solution Approach 1:
The patent applies color changes principle by using the presence or absence of pigmentation in drone larvae eyelets as a visual selection criterion. Larvae without pigmentation (or with colorless/slightly yellowing eyelets) are selected, while those with violet tint or yellowish pigmentation are rejected. This visual color-based criterion simplifies the selection process while ensuring consistent biological activity and hormone content.
Solution Approach 2:
The patent changes the selection parameter from arbitrary age-based collection to specific morphological parameter-based selection. By focusing on external signs such as vertical positioning and pigmentation state, the method creates a reliable and easily observable criterion that maintains both operational simplicity and high biological activity in the collected drone brood.
3Loss of time
If immature larvae are collected before the optimal developmental stage, then the collection can be performed earlier, but the content of decenoic acids and hormones is reduced
Solution Approach 1:
The patent applies preliminary action by establishing clear visual criteria that indicate the optimal collection time. The external signs (vertical positioning, absence of pigmentation) serve as preliminary indicators that the larvae have reached the optimal developmental stage with maximum hormone and decenoic acid content. This eliminates the need for time-based guessing and ensures collection at the precise moment of maximum biological value.
Solution Approach 2:
The patent replaces time-based mechanical collection scheduling with visual/morphological parameter-based selection. Instead of collecting larvae at fixed time intervals regardless of their developmental state, the method uses visual criteria (positioning, pigmentation) to identify larvae at the optimal developmental stage, ensuring maximum substance content while minimizing time loss.
Data Source
AI summary
The invention relates to the pharmaceutical and foods industries and to medicine, in particular to biologically active dietary supplements (BADS), and describes a process for extracting drone bee larvae for producing a drone bee brood with maximum biological value.